diff --git a/changelog.d/us-reported-ssi-receipt.added.md b/changelog.d/us-reported-ssi-receipt.added.md
new file mode 100644
index 0000000000..30f7318c26
--- /dev/null
+++ b/changelog.d/us-reported-ssi-receipt.added.md
@@ -0,0 +1,7 @@
+Carry reported SSI receipt as the `receives_ssi` person input.
+
+- **CPS rows:** `cps_carried.reported_ssi_receipt` sets it from a positive `SSI_VAL`, excluding respondents whose only recorded reasons are SSI received on behalf of a child.
+- **ACS rows:** `map_acs_native_inputs` maps it natively from a positive `SSIP`. Both spines measure it, so the multispine pool never transfers it.
+- **Release gate:** the US release input-coverage gate requires it with no reviewed exclusion. The gate also checks that every marked person reports a positive amount of their own and that every marked CPS-measured person carries `takes_up_ssi_if_eligible`.
+- **Preflight:** treats those row-dependent failures as at risk on the L0 path.
+- **Published default:** `populace-us-2024-spm-20260915` carries no `receives_ssi` and now fails the gate on it.
diff --git a/docs/evidence/spec-engine/us-f0-coverage.json b/docs/evidence/spec-engine/us-f0-coverage.json
index b6153a67b0..4a63043704 100644
--- a/docs/evidence/spec-engine/us-f0-coverage.json
+++ b/docs/evidence/spec-engine/us-f0-coverage.json
@@ -1887,7 +1887,7 @@
             "alpha",
             "zeta"
           ],
-          "sha256": "3db095ce2d1ef89028d3862f0edc827d704f099c5b3323f9b115642a3c27e007"
+          "sha256": "9682de0316d09df4ed7f4182c930c55736d49ba2f98220db9a1a4c872707a2f8"
         },
         "failures": [],
         "observed": {
@@ -1911,7 +1911,7 @@
             "alpha",
             "zeta"
           ],
-          "sha256": "3db095ce2d1ef89028d3862f0edc827d704f099c5b3323f9b115642a3c27e007"
+          "sha256": "9682de0316d09df4ed7f4182c930c55736d49ba2f98220db9a1a4c872707a2f8"
         },
         "status": "covered"
       },
@@ -1975,7 +1975,7 @@
             "take_up_contract",
             "us_qbi_reconciliation_contract"
           ],
-          "sha256": "61a5484eab9fae1d6651b3ae15f1793d4934ea2f6ed2c08d05716b745c221014"
+          "sha256": "ba069fa7507ff84d3ceae95dbbe84952a3714d2ae154f3f8c50a4b93c61a5892"
         },
         "status": "covered"
       },
@@ -2599,7 +2599,7 @@
       "country": "us",
       "schema_id": "country_spec",
       "schema_version": 1,
-      "spec_sha256": "740d1ff5b2e9fa6da3154c44f8676f80109d404e6aa7a16c48ed8db83055b15d"
+      "spec_sha256": "0887aba600be33e0eea818a36cbed142dba3df3977781577583e4d05b5a3eb26"
     }
   },
   "report_schema_version": 3,
@@ -2609,7 +2609,7 @@
     "country": "us",
     "schema_id": "country_spec",
     "schema_version": 1,
-    "spec_sha256": "740d1ff5b2e9fa6da3154c44f8676f80109d404e6aa7a16c48ed8db83055b15d"
+    "spec_sha256": "0887aba600be33e0eea818a36cbed142dba3df3977781577583e4d05b5a3eb26"
   },
   "status": "pass"
 }
diff --git a/docs/evidence/us-reported-ssi-receipt/README.md b/docs/evidence/us-reported-ssi-receipt/README.md
new file mode 100644
index 0000000000..11a0491cdb
--- /dev/null
+++ b/docs/evidence/us-reported-ssi-receipt/README.md
@@ -0,0 +1,104 @@
+# Reported SSI receipt on the pinned US default: measured effect
+
+Run 2026-10-18 with `measure_receives_ssi.py` (in this folder).
+`summary_aggregates.json` holds the aggregates; it records no household-level
+values.
+
+## Setup
+
+- **Data:** `populace_us_2024.h5`, sha256 `6496cc43…aee84`. This is
+  PolicyEngine-US's `DEFAULT_DATASET` (`populace-us-2024-spm-20260909`; the
+  same bytes as `-20260915`).
+- **Model:** PolicyEngine-US `origin/main` at `fab18b7d6b` and
+  PolicyEngine/policyengine-us#10145 at `f450d4ab00`, with policyengine-core
+  3.33.2. The #10145 head branches from an older main, and the two trees
+  differ in 59 files, including the New Mexico and Texas supplements and
+  other state taxes. The receipt deltas reported here are identical on both
+  trees; among the reported levels, only Colorado's differs. The tables use
+  the #10145 head.
+- **Variants:** each adds person columns to an in-memory copy of the dataset:
+
+  | Variant | Change |
+  |---|---|
+  | `base` | None; `receives_ssi` takes the engine default `False`. |
+  | `receipt` | `receives_ssi` from positive `SSI_VAL`, excluding on-behalf-of-child-only payees (`RESNSSI1` 3/4 with `RESNSSI2` 0/3/4). The pinned default has no row whose only payee code is in `RESNSSI2`, so this equals `cps_carried.reported_ssi_receipt` on it. |
+  | `receipt_asec_only` | The same, on ASEC rows only; PUF tax-detail clones stay `False`. |
+  | `receipt_any` | `SSI_VAL > 0` without the payee exclusion. |
+  | `criteria_anchor` | Diagnostic: `meets_ssi_disability_criteria = True` for under-65 own-reason reporters on the PUF channel; no receipt. |
+  | `receipt_criteria_anchor` | `receipt` plus `criteria_anchor`. |
+  | `receipt_assets0` | Diagnostic upper bound: `receipt`, with no liquid assets for anyone in a reporter's household. |
+
+- **Households simulated:** every household with a reporter (any row with
+  `SSI_VAL > 0`) plus every Colorado household (2,541 households and 7,764
+  rows).
+
+`receives_ssi` is a person input, and the static model has no interaction
+between households, so households without a reporter cannot change. The
+weighted deltas below are therefore the national deltas. The run checks this
+on Colorado's non-reporter households, whose deltas are exactly zero on every
+aggregate except the `medicaid` dollar value. That value spreads a fixed
+total over enrollees, so it is not reported. Colorado totals are complete; the
+main-branch Colorado supplement reproduces the US hub's full-dataset $233.22M.
+
+The variants change inputs only; nothing is recalibrated. These are
+fixed-weight sensitivities on today's default, not the effects of a rebuilt
+default. In a rebuild the SSI take-up priors are re-solved against SSA
+counts, so the federal SSI changes in the two diagnostic variants overstate
+a rebuilt effect. The default has no ACS rows, so the ACS mapping does not
+enter these numbers.
+
+## Survey reporters versus modeled SSI (2026, `base`)
+
+| | Weighted people | Modeled SSI |
+|---|---:|---:|
+| Own-reason SSI reporters | 5.15M | 2.79M paid; $28.4B against $49.1B reported |
+| On-behalf-of-child payees (excluded) | 0.45M | 0.16M paid $1.5B of their own |
+
+In January 2026, 2.35M own-reason reporters receive no modeled payment:
+
+| First failing test | Weighted people |
+|---|---:|
+| Not aged, blind or disabled (under 65 with no `meets_ssi_disability_criteria`) | 1.03M |
+| Countable income at or above the benefit | 0.78M |
+| Resource test | 0.45M (median countable resources $9,087) |
+| Not aged, blind or disabled (other) | 0.09M |
+
+By channel, ASEC rows anchor `meets_ssi_disability_criteria` for every
+under-65 reporter (2.48M of 2.48M). PUF tax-detail clones do not (0.82M of
+1.95M), although they carry the reporter's `SSI_VAL` and the take-up anchor.
+Among reporters who fail the income test, ASEC rows have a median countable
+income of $1,750 a month (464,000 people, 65% with Social Security). PUF
+clones have $5,265 a month (316,000 people), from PUF-imputed incomes
+(`income_fail_by_channel.py`).
+
+## Effect of adding the column (2026, change from `base`)
+
+| Measure | `receipt` | `receipt_asec_only` | `receipt_any` | `criteria_anchor` | `receipt_criteria_anchor` | `receipt_assets0` |
+|---|---:|---:|---:|---:|---:|---:|
+| Federal `ssi` | $0 | $0 | $0 | +$6,240M | +$6,240M | +$1,927M |
+| `household_net_income` | +$339M | +$141M | +$454M | +$5,444M | +$5,729M | +$2,066M |
+| `snap` | +$261M | +$97M | +$310M | −$607M | −$397M | +$48M |
+| `early_head_start` | +$1,156M | +$433M | +$1,329M | +$268M | +$1,156M | +$1,156M |
+| `head_start` | $0 | $0 | +$93M | $0 | $0 | $0 |
+| `free_school_meals` | +$63M | +$43M | +$121M | $0 | +$63M | +$65M |
+| `aca_ptc` | −$863M | −$220M | −$923M | −$201M | −$786M | −$863M |
+| `medicaid_enrolled` (people) | +1,408k | +369k | +1,576k | +350k | +1,393k | +1,443k |
+| `is_ssi_recipient_for_medicaid` (people) | +2,228k | +761k | +2,510k | +566k | +2,205k | +2,316k |
+| `mi_ssp` | +$6.6M | $0 | +$9.5M | $0 | +$5.0M | +$3.3M |
+| `wa_ssp` | +$7.6M | +$0.3M | +$7.6M | +$10.6M | +$18.2M | +$13.2M |
+| `wy_ssp` | +$0.3M | +$0.3M | +$0.3M | $0 | +$0.3M | +$0.3M |
+| `co_state_supplement` | $0 | $0 | $0 | $0 | $0 | $0 |
+
+`ca_state_supplement`, `ma_state_supplement`, `nj_ssp`, `pa_ssp` and `me_ssp`
+move only in the diagnostic variants. The 2024 deltas have the same signs.
+`summary_aggregates.json` has both years for both commits.
+
+## Colorado
+
+Main pays Colorado's AND-CS supplement ($233.22M in 2026) to 11 records. None
+of them belongs to a household with a reported SSI amount: they are
+modeled-eligible people with `takes_up_ssi_if_eligible = False`. #10145 pays
+$0 with or without `receives_ssi`. Every Colorado reporter with positive
+weight who passes AND-CS's disability and age test already has modeled SSI
+plus countable income equal to the $994 grant standard, so the supplement is
+$0.
diff --git a/docs/evidence/us-reported-ssi-receipt/income_fail_by_channel.py b/docs/evidence/us-reported-ssi-receipt/income_fail_by_channel.py
new file mode 100644
index 0000000000..3e5f08275f
--- /dev/null
+++ b/docs/evidence/us-reported-ssi-receipt/income_fail_by_channel.py
@@ -0,0 +1,69 @@
+"""Income-test failures among own SSI reporters, by support channel (2026-01).
+
+Usage (next to measure_receives_ssi.py):
+    PYTHONPATH=<pe-us tree> python income_fail_by_channel.py
+"""
+
+import measure_receives_ssi as m
+import numpy as np
+import pandas as pd
+from policyengine_us import Microsimulation
+
+
+def weighted_median(values: pd.Series, weights: pd.Series) -> float | None:
+    if not len(values):
+        return None
+    order = np.argsort(values.to_numpy())
+    cumulative = np.cumsum(weights.to_numpy()[order])
+    index = np.searchsorted(cumulative, cumulative[-1] / 2)
+    return float(values.to_numpy()[order][index])
+
+
+def main() -> None:
+    ds, _reporter_households, _co_households = m.subset_dataset(False)
+    sim = Microsimulation(dataset=ds, dataset_end_year=2026)
+    month = "2026-01"
+    frame = pd.DataFrame(
+        {
+            "w": sim.calculate("person_weight", 2026).values,
+            "eligible": sim.calculate("is_ssi_eligible", month).values,
+            "uncapped": sim.calculate("uncapped_ssi", month).values,
+            "countable_income": sim.calculate("ssi_countable_income", month).values,
+            "earned": sim.calculate("ssi_earned_income", month).values,
+            "unearned": sim.calculate("ssi_unearned_income", month).values,
+            "social_security": sim.calculate("social_security", 2026).values / 12,
+            "employment": sim.calculate("employment_income", 2026).values / 12,
+        }
+    )
+    frame["channel"] = ds.person["person_support_channel"].astype(str).to_numpy()
+    frame["reporter"] = m.own_ssi_receipt(ds.person)
+    frame["ssi_val_monthly"] = pd.to_numeric(ds.person["SSI_VAL"]).to_numpy() / 12
+    reporters = frame[frame.reporter]
+    fail = reporters[reporters.eligible.astype(bool) & (reporters.uncapped <= 0)]
+    for channel, group in fail.groupby("channel"):
+        weight = group.w
+        print(
+            channel,
+            "income-test failures",
+            round(weight.sum()),
+            "of reporters",
+            round(reporters.loc[reporters.channel == channel, "w"].sum()),
+            "| weighted median monthly countable income",
+            round(weighted_median(group.countable_income, weight)),
+            "unearned",
+            round(weighted_median(group.unearned, weight)),
+            "Social Security",
+            round(weighted_median(group.social_security, weight)),
+            "reported SSI",
+            round(weighted_median(group.ssi_val_monthly, weight)),
+            "| share with Social Security",
+            round(
+                float((weight * (group.social_security > 0)).sum() / weight.sum()), 3
+            ),
+            "| share with wages",
+            round(float((weight * (group.employment > 0)).sum() / weight.sum()), 3),
+        )
+
+
+if __name__ == "__main__":
+    main()
diff --git a/docs/evidence/us-reported-ssi-receipt/measure_receives_ssi.py b/docs/evidence/us-reported-ssi-receipt/measure_receives_ssi.py
new file mode 100644
index 0000000000..355c1606a7
--- /dev/null
+++ b/docs/evidence/us-reported-ssi-receipt/measure_receives_ssi.py
@@ -0,0 +1,409 @@
+"""Measure what survey-reported SSI receipt (`receives_ssi`) changes in PE-US.
+
+Reads the pinned default dataset (populace_us_2024.h5, sha256 6496cc43...) and
+runs PolicyEngine-US on a household subset, twice per code version:
+
+* ``base``: the dataset as published (no ``receives_ssi`` column, so the
+  engine default ``False`` applies);
+* ``receipt``: the same rows plus ``person.receives_ssi = SSI_VAL > 0``.
+
+Subset = every household containing an SSI reporter (any row with SSI_VAL > 0)
+plus every Colorado household. ``receives_ssi`` is a person input and a static
+microsimulation has no cross-household interaction, so households without a
+reporter cannot change: the weighted receipt deltas over the subset equal the
+national deltas. The script checks that claim on the Colorado non-reporter
+households, whose delta must be exactly zero. Colorado totals are complete
+because every Colorado household is in the subset.
+
+Usage (one code version per process):
+    PYTHONPATH=<pe-us tree> python measure_receives_ssi.py <label> <out.json>
+"""
+
+from __future__ import annotations
+
+import json
+import re
+import sys
+import time
+
+import numpy as np
+import pandas as pd
+
+H5 = (
+    "/Users/maxghenis/.cache/huggingface/hub/datasets--policyengine--populace-us/"
+    "snapshots/9a814a3b3b53c0ecd6e1737b6ec862c31300ef6f/populace_us_2024.h5"
+)
+YEARS = (2024, 2026)
+CO_FIPS = 8
+AGE_BANDS = ((0, 18, "under_18"), (18, 65, "18_64"), (65, 200, "65_plus"))
+AGGREGATES = (
+    "household_net_income",
+    "household_benefits",
+    "household_state_benefits",
+    "spm_unit_net_income",
+    "ssi",
+    "snap",
+    "tanf",
+    "wic",
+    "medicaid",
+    "chip",
+    "aca_ptc",
+    "lifeline",
+    "head_start",
+    "early_head_start",
+    "free_school_meals",
+    "reduced_price_school_meals",
+)
+COUNTS = (
+    ("medicaid_enrolled", "person"),
+    ("is_ssi_recipient_for_medicaid", "person"),
+    ("is_snap_eligible", "spm_unit"),
+)
+
+
+LIQUID_ASSETS = ("bank_account_assets", "stock_assets", "bond_assets")
+#: ASEC RESNSSI1/RESNSSI2 codes 3 and 4: SSI received "on behalf of a disabled
+#: (blind) child" (2024 ASEC data dictionary, census.gov cpsmar24.pdf). A row
+#: whose only reasons are these is a payee, not a recipient.
+ON_BEHALF_OF_CHILD_CODES = (3, 4)
+
+
+def own_ssi_receipt(person: pd.DataFrame) -> np.ndarray:
+    """SSI_VAL > 0, excluding reporters who get SSI only on behalf of a child."""
+
+    amount = pd.to_numeric(person["SSI_VAL"], errors="coerce").fillna(0.0)
+    reason_1 = pd.to_numeric(person["RESNSSI1"], errors="coerce").fillna(0)
+    reason_2 = pd.to_numeric(person["RESNSSI2"], errors="coerce").fillna(0)
+    on_behalf_only = reason_1.isin(ON_BEHALF_OF_CHILD_CODES) & reason_2.isin(
+        (0, *ON_BEHALF_OF_CHILD_CODES)
+    )
+    return ((amount > 0) & ~on_behalf_only).to_numpy(dtype=bool)
+
+
+def subset_dataset(
+    add_receipt: bool,
+    zero_reporter_household_assets: bool = False,
+    receipt_channel: str | None = None,
+    anchor_puf_criteria: bool = False,
+    receipt_rule: str = "own",
+):
+    from policyengine_us.data.dataset_schema import USSingleYearDataset
+
+    full = USSingleYearDataset(file_path=H5)
+    person = full.person.copy()
+    reported = pd.to_numeric(person["SSI_VAL"], errors="coerce").fillna(0.0) > 0
+    reporter_households = set(person.loc[reported, "person_household_id"])
+    co_households = set(
+        full.household.loc[full.household["state_fips"] == CO_FIPS, "household_id"]
+    )
+    keep = reporter_households | co_households
+    person = person[person["person_household_id"].isin(keep)].copy()
+    if zero_reporter_household_assets:
+        # Upper-bound diagnostic only: every person in a reporter's household
+        # holds no liquid assets, so the SSI resource test (own or deemed)
+        # cannot bind for any reporter.
+        in_reporter_household = person["person_household_id"].isin(reporter_households)
+        for column in LIQUID_ASSETS:
+            if column not in person.columns:
+                raise KeyError(f"{column} is not a person column of the dataset")
+            person.loc[in_reporter_household, column] = 0.0
+    row_reported = (
+        own_ssi_receipt(person)
+        if receipt_rule == "own"
+        else (
+            pd.to_numeric(person["SSI_VAL"], errors="coerce").fillna(0.0) > 0
+        ).to_numpy(dtype=bool)
+    )
+    channel = person["person_support_channel"].astype(str).to_numpy()
+    if anchor_puf_criteria:
+        # Counterfactual only: extend the ASEC under-65 reporter anchor of
+        # meets_ssi_disability_criteria to the reporters' PUF-channel clones.
+        under_65 = pd.to_numeric(person["age"], errors="coerce").to_numpy() < 65
+        anchor = row_reported & under_65 & (channel == "puf_tax_detail")
+        person["meets_ssi_disability_criteria"] = (
+            person["meets_ssi_disability_criteria"].to_numpy(dtype=bool) | anchor
+        )
+    if add_receipt:
+        receipt = row_reported
+        if receipt_channel is not None:
+            receipt = receipt & (channel == receipt_channel)
+        person["receives_ssi"] = receipt
+
+    def keep_ids(table, id_col, person_col):
+        return table[table[id_col].isin(set(person[person_col]))].copy()
+
+    ds = USSingleYearDataset(
+        person=person,
+        household=keep_ids(full.household, "household_id", "person_household_id"),
+        tax_unit=keep_ids(full.tax_unit, "tax_unit_id", "person_tax_unit_id"),
+        spm_unit=keep_ids(full.spm_unit, "spm_unit_id", "person_spm_unit_id"),
+        family=keep_ids(full.family, "family_id", "person_family_id"),
+        marital_unit=keep_ids(
+            full.marital_unit, "marital_unit_id", "person_marital_unit_id"
+        ),
+        time_period=2024,
+    )
+    return ds, reporter_households, co_households
+
+
+def ssp_variables(system) -> list[str]:
+    pattern = re.compile(r"^[a-z]{2}_(ssp|state_supplement|ssi_state_supplement)$")
+    return sorted(v for v in system.variables if pattern.match(v))
+
+
+def person_frame(sim, year: int) -> pd.DataFrame:
+    month = f"{year}-01"
+    frame = pd.DataFrame(
+        {
+            "person_id": sim.calculate("person_id", year).values,
+            "household_id": sim.calculate("household_id", year, map_to="person").values,
+            "state_fips": sim.calculate("state_fips", year, map_to="person").values,
+            "weight": sim.calculate("person_weight", year).values,
+            "age": sim.calculate("age", year).values,
+            "ssi": sim.calculate("ssi", year).values,
+            "uncapped_ssi_jan": sim.calculate("uncapped_ssi", month).values,
+            "abd_jan": sim.calculate("is_ssi_aged_blind_disabled", month).values,
+            "resource_ok_jan": sim.calculate("meets_ssi_resource_test", month).values,
+            "eligible_jan": sim.calculate("is_ssi_eligible", month).values,
+            "receives_ssi_jan": sim.calculate("receives_ssi", month).values,
+            "receives_ssi_jul": sim.calculate("receives_ssi", f"{year}-07").values,
+            "takes_up": sim.calculate("takes_up_ssi_if_eligible", year).values,
+            "disability_criteria": sim.calculate(
+                "meets_ssi_disability_criteria", year
+            ).values,
+            "countable_resources_jan": sim.calculate(
+                "ssi_countable_resources", month
+            ).values,
+            "countable_income_jan": sim.calculate("ssi_countable_income", month).values,
+        }
+    )
+    return frame
+
+
+def weighted(series, weights) -> float:
+    return float(np.sum(np.asarray(series, dtype=float) * np.asarray(weights)))
+
+
+VARIANTS = {
+    "base": {"add_receipt": False},
+    "receipt": {"add_receipt": True},
+    "receipt_any": {"add_receipt": True, "receipt_rule": "any"},
+    "receipt_assets0": {"add_receipt": True, "zero_reporter_household_assets": True},
+    "receipt_asec_only": {"add_receipt": True, "receipt_channel": "asec"},
+    "criteria_anchor": {"add_receipt": False, "anchor_puf_criteria": True},
+    "receipt_criteria_anchor": {"add_receipt": True, "anchor_puf_criteria": True},
+}
+
+
+def run(label: str, variant: str) -> dict:
+    from policyengine_us import Microsimulation
+
+    started = time.time()
+    ds, reporter_households, co_households = subset_dataset(**VARIANTS[variant])
+    sim = Microsimulation(dataset=ds, dataset_end_year=max(YEARS))
+    out: dict = {
+        "label": label,
+        "variant": variant,
+        "households": int(len(ds.household)),
+        "persons": int(len(ds.person)),
+        "years": {},
+    }
+    ssps = ssp_variables(sim.tax_benefit_system)
+    out["ssp_variables"] = ssps
+    raw_ssi_val = (
+        pd.to_numeric(ds.person["SSI_VAL"], errors="coerce").fillna(0.0).to_numpy()
+    )
+    for year in YEARS:
+        pf = person_frame(sim, year)
+        pf["ssi_val_reported"] = raw_ssi_val
+        pf["channel"] = ds.person["person_support_channel"].astype(str).to_numpy()
+        pf["any_reporter"] = raw_ssi_val > 0
+        pf["reporter"] = own_ssi_receipt(ds.person)
+        pf["payee_only"] = pf["any_reporter"] & ~pf["reporter"]
+        pf["in_co"] = pf["state_fips"] == CO_FIPS
+        pf["reporter_household"] = pf["household_id"].isin(reporter_households)
+        year_out: dict = {"aggregates": {}, "ssp": {}, "counts": {}}
+        hh_weight = sim.calculate("household_weight", year).values
+        hh_id = sim.calculate("household_id", year).values
+        hh_state = sim.calculate("state_fips", year).values
+        hh_reporter = np.isin(hh_id, list(reporter_households))
+        for name in AGGREGATES:
+            if name not in sim.tax_benefit_system.variables:
+                continue
+            values = sim.calculate(name, year, map_to="household").values
+            year_out["aggregates"][name] = {
+                "all_subset": weighted(values, hh_weight),
+                "reporter_households": weighted(values * hh_reporter, hh_weight),
+                "co_households": weighted(values * (hh_state == CO_FIPS), hh_weight),
+                "co_non_reporter_households": weighted(
+                    values * ((hh_state == CO_FIPS) & ~hh_reporter), hh_weight
+                ),
+                "household_values": values.tolist(),
+            }
+        year_out["household_ids"] = hh_id.tolist()
+        year_out["household_weights"] = hh_weight.tolist()
+        for name, _entity in COUNTS:
+            if name not in sim.tax_benefit_system.variables:
+                continue
+            var = sim.tax_benefit_system.variables[name]
+            period = f"{year}-01" if var.definition_period == "month" else year
+            values = sim.calculate(name, period, map_to="household").values
+            year_out["counts"][name] = {
+                "period": str(period),
+                "reporter_households": weighted(values * hh_reporter, hh_weight),
+                "household_values": values.tolist(),
+            }
+        for name in ssps:
+            values = sim.calculate(name, year, map_to="household").values
+            by_state = (
+                pd.DataFrame({"state": hh_state, "v": values * hh_weight})
+                .groupby("state")["v"]
+                .sum()
+            )
+            year_out["ssp"][name] = {
+                "all_subset": weighted(values, hh_weight),
+                "reporter_households": weighted(values * hh_reporter, hh_weight),
+                "co_households": weighted(values * (hh_state == CO_FIPS), hh_weight),
+                "by_state": {
+                    str(int(k)): float(v) for k, v in by_state.items() if v != 0
+                },
+                "household_values": values.tolist(),
+            }
+        # Reporter diagnostics (person grain).
+        rep = pf[pf["reporter"]]
+        w = rep["weight"]
+        diag = {
+            "reporter_persons_weighted": float(w.sum()),
+            "reporter_rows": int(len(rep)),
+            "reported_ssi_val_weighted": weighted(rep["ssi_val_reported"], w),
+            "modeled_ssi_weighted": weighted(rep["ssi"], w),
+            "modeled_ssi_positive_weighted": float(w[rep["ssi"] > 0].sum()),
+            "takes_up_true_weighted": float(w[rep["takes_up"].astype(bool)].sum()),
+            "receives_ssi_jan_true_weighted": float(
+                w[rep["receives_ssi_jan"].astype(bool)].sum()
+            ),
+            "receives_ssi_jul_true_weighted": float(
+                w[rep["receives_ssi_jul"].astype(bool)].sum()
+            ),
+            "non_reporter_receives_ssi_true_weighted": float(
+                pf.loc[
+                    ~pf["reporter"] & pf["receives_ssi_jan"].astype(bool), "weight"
+                ].sum()
+            ),
+            "by_age": {},
+            "zero_reasons_jan": {},
+        }
+        for lo, hi, key in AGE_BANDS:
+            band = rep[(rep["age"] >= lo) & (rep["age"] < hi)]
+            bw = band["weight"]
+            diag["by_age"][key] = {
+                "reporters_weighted": float(bw.sum()),
+                "modeled_ssi_positive_weighted": float(bw[band["ssi"] > 0].sum()),
+                "reported_ssi_val_weighted": weighted(band["ssi_val_reported"], bw),
+                "modeled_ssi_weighted": weighted(band["ssi"], bw),
+            }
+        # Why do January-ineligible reporters get no payment? First failing test.
+        jan_zero = rep[rep["uncapped_ssi_jan"] <= 0]
+        zw = jan_zero["weight"]
+        not_abd = ~jan_zero["abd_jan"].astype(bool)
+        abd_resource_fail = jan_zero["abd_jan"].astype(bool) & ~jan_zero[
+            "resource_ok_jan"
+        ].astype(bool)
+        other_categorical = (
+            jan_zero["abd_jan"].astype(bool)
+            & jan_zero["resource_ok_jan"].astype(bool)
+            & ~jan_zero["eligible_jan"].astype(bool)
+        )
+        income = jan_zero["eligible_jan"].astype(bool)
+        diag["zero_reasons_jan"] = {
+            "uncapped_ssi_jan_zero_weighted": float(zw.sum()),
+            "not_aged_blind_disabled": float(zw[not_abd].sum()),
+            "not_abd_under_65_no_disability_criteria": float(
+                zw[
+                    not_abd
+                    & (jan_zero["age"] < 65)
+                    & ~jan_zero["disability_criteria"].astype(bool)
+                ].sum()
+            ),
+            "abd_fails_resource_test": float(zw[abd_resource_fail].sum()),
+            "abd_resources_ok_other_categorical_fail": float(
+                zw[other_categorical].sum()
+            ),
+            "eligible_but_income_exceeds_benefit": float(zw[income].sum()),
+            "resource_fail_median_countable_resources": (
+                float(
+                    jan_zero.loc[abd_resource_fail, "countable_resources_jan"].median()
+                )
+                if abd_resource_fail.any()
+                else None
+            ),
+        }
+        diag["by_channel"] = {}
+        for channel, group in rep.groupby("channel"):
+            gw = group["weight"]
+            under65 = group["age"] < 65
+            diag["by_channel"][channel] = {
+                "reporter_rows": int(len(group)),
+                "reporters_weighted": float(gw.sum()),
+                "modeled_ssi_positive_weighted": float(gw[group["ssi"] > 0].sum()),
+                "under_65_weighted": float(gw[under65].sum()),
+                "under_65_disability_criteria_weighted": float(
+                    gw[under65 & group["disability_criteria"].astype(bool)].sum()
+                ),
+            }
+        payee = pf[pf["payee_only"]]
+        diag["payee_only"] = {
+            "rows": int(len(payee)),
+            "weighted": float(payee["weight"].sum()),
+            "reported_ssi_val_weighted": weighted(
+                payee["ssi_val_reported"], payee["weight"]
+            ),
+            "modeled_ssi_positive_weighted": float(
+                payee.loc[payee["ssi"] > 0, "weight"].sum()
+            ),
+            "modeled_ssi_weighted": weighted(payee["ssi"], payee["weight"]),
+            "disability_criteria_weighted": float(
+                payee.loc[payee["disability_criteria"].astype(bool), "weight"].sum()
+            ),
+        }
+        # Colorado reporters.
+        co_rep = rep[rep["in_co"]]
+        diag["colorado"] = {
+            "reporters_weighted": float(co_rep["weight"].sum()),
+            "reporter_rows": int(len(co_rep)),
+            "reporters_modeled_ssi_zero_weighted": float(
+                co_rep.loc[co_rep["ssi"] <= 0, "weight"].sum()
+            ),
+            "reporters_age_under_60_weighted": float(
+                co_rep.loc[co_rep["age"] < 60, "weight"].sum()
+            ),
+        }
+        # Reported versus modeled amounts among reporters with a modeled payment.
+        paid = rep[rep["ssi"] > 0]
+        if len(paid):
+            ratio = paid["ssi"] / paid["ssi_val_reported"]
+            order = np.argsort(ratio.to_numpy())
+            cw = np.cumsum(paid["weight"].to_numpy()[order])
+            median = float(ratio.to_numpy()[order][np.searchsorted(cw, cw[-1] / 2)])
+            diag["paid_reporters_modeled_over_reported_weighted_median"] = median
+        year_out["reporter_diagnostics"] = diag
+        out["years"][str(year)] = year_out
+    out["seconds"] = round(time.time() - started, 1)
+    return out
+
+
+if __name__ == "__main__":
+    label, path = sys.argv[1], sys.argv[2]
+    variants = sys.argv[3].split(",") if len(sys.argv) > 3 else list(VARIANTS)
+    results = [run(label, variant) for variant in variants]
+    with open(path, "w") as handle:
+        json.dump(results, handle)
+    for result in results:
+        print(
+            result["label"],
+            result["variant"],
+            result["households"],
+            result["persons"],
+            result["seconds"],
+            "s",
+        )
diff --git a/docs/evidence/us-reported-ssi-receipt/summary_aggregates.json b/docs/evidence/us-reported-ssi-receipt/summary_aggregates.json
new file mode 100644
index 0000000000..808bc75785
--- /dev/null
+++ b/docs/evidence/us-reported-ssi-receipt/summary_aggregates.json
@@ -0,0 +1,9246 @@
+{
+ "main_fab18b7d6b": {
+  "base": {
+   "households": 2541,
+   "persons": 7764,
+   "years": {
+    "2024": {
+     "aggregates": {
+      "aca_ptc": {
+       "all_subset": 12755248109.531387,
+       "co_households": 2568166783.0003133,
+       "co_non_reporter_households": 2076068597.2588153,
+       "reporter_households": 10679179512.272572
+      },
+      "chip": {
+       "all_subset": 432297434.7663276,
+       "co_households": 308134643.9294921,
+       "co_non_reporter_households": 308134643.9294921,
+       "reporter_households": 124162790.8368355
+      },
+      "early_head_start": {
+       "all_subset": 7834728002.245188,
+       "co_households": 1003949248.6974435,
+       "co_non_reporter_households": 1003949165.1573617,
+       "reporter_households": 6830778837.087826
+      },
+      "free_school_meals": {
+       "all_subset": 2379984995.03755,
+       "co_households": 1030921081.8130676,
+       "co_non_reporter_households": 1030920839.5351919,
+       "reporter_households": 1349064155.5023584
+      },
+      "head_start": {
+       "all_subset": 472027547.1021755,
+       "co_households": 60.13768435048769,
+       "co_non_reporter_households": 60.13768435048769,
+       "reporter_households": 472027486.9644911
+      },
+      "household_benefits": {
+       "all_subset": 134744239378.94527,
+       "co_households": 35086311225.21508,
+       "co_non_reporter_households": 32542798328.16799,
+       "reporter_households": 102201441050.77728
+      },
+      "household_net_income": {
+       "all_subset": 706296222611.9016,
+       "co_households": 306223962256.27454,
+       "co_non_reporter_households": 296485520509.6114,
+       "reporter_households": 409810702102.29016
+      },
+      "household_state_benefits": {
+       "all_subset": 4081817353.170687,
+       "co_households": 3308483532.312663,
+       "co_non_reporter_households": 2686097715.499269,
+       "reporter_households": 1395719637.6714175
+      },
+      "lifeline": {
+       "all_subset": 0.0,
+       "co_households": 0.0,
+       "co_non_reporter_households": 0.0,
+       "reporter_households": 0.0
+      },
+      "medicaid": {
+       "all_subset": 880018881648.6348,
+       "co_households": 12959433458.049576,
+       "co_non_reporter_households": 12028572727.561718,
+       "reporter_households": 867990308921.073
+      },
+      "reduced_price_school_meals": {
+       "all_subset": 82864224.93054843,
+       "co_households": 0.0,
+       "co_non_reporter_households": 0.0,
+       "reporter_households": 82864224.93054843
+      },
+      "snap": {
+       "all_subset": 8718849489.893303,
+       "co_households": 1250095136.4725554,
+       "co_non_reporter_households": 1244463569.6384614,
+       "reporter_households": 7474385920.254842
+      },
+      "spm_unit_net_income": {
+       "all_subset": 617071526569.332,
+       "co_households": 259127248009.6985,
+       "co_non_reporter_households": 250458200642.0373,
+       "reporter_households": 366613325927.2948
+      },
+      "ssi": {
+       "all_subset": 30420243067.10862,
+       "co_households": 585196957.7241166,
+       "co_non_reporter_households": 230622926.67426538,
+       "reporter_households": 30189620140.434353
+      },
+      "tanf": {
+       "all_subset": 312027023.3723452,
+       "co_households": 177386562.13318777,
+       "co_non_reporter_households": 177386562.13318777,
+       "reporter_households": 134640461.23915747
+      },
+      "wic": {
+       "all_subset": 814594292.0233171,
+       "co_households": 203102441.1082093,
+       "co_non_reporter_households": 203102438.18957883,
+       "reporter_households": 611491853.8337383
+      }
+     },
+     "counts": {
+      "is_snap_eligible": {
+       "period": "2024-01",
+       "reporter_households": 2031947.158859198
+      },
+      "is_ssi_recipient_for_medicaid": {
+       "period": "2024",
+       "reporter_households": 3215571.4428795157
+      },
+      "medicaid_enrolled": {
+       "period": "2024",
+       "reporter_households": 7601045.102783754
+      }
+     },
+     "reporter_diagnostics": {
+      "by_age": {
+       "18_64": {
+        "modeled_ssi_positive_weighted": 2434633.0,
+        "modeled_ssi_weighted": 23335544986.158676,
+        "reported_ssi_val_weighted": 41517432216.73743,
+        "reporters_weighted": 4211981.0
+       },
+       "65_plus": {
+        "modeled_ssi_positive_weighted": 293107.25,
+        "modeled_ssi_weighted": 2698890799.0923743,
+        "reported_ssi_val_weighted": 5570930361.25883,
+        "reporters_weighted": 712124.5
+       },
+       "under_18": {
+        "modeled_ssi_positive_weighted": 80623.875,
+        "modeled_ssi_weighted": 707942636.8193983,
+        "reported_ssi_val_weighted": 1168847432.4682355,
+        "reporters_weighted": 140293.625
+       }
+      },
+      "by_channel": {
+       "asec": {
+        "modeled_ssi_positive_weighted": 2007757.0,
+        "reporter_rows": 491,
+        "reporters_weighted": 2761052.25,
+        "under_65_disability_criteria_weighted": 2438281.5,
+        "under_65_weighted": 2438281.5
+       },
+       "puf_tax_detail": {
+        "modeled_ssi_positive_weighted": 800607.1875,
+        "reporter_rows": 886,
+        "reporters_weighted": 2303346.5,
+        "under_65_disability_criteria_weighted": 809375.6875,
+        "under_65_weighted": 1913992.75
+       }
+      },
+      "colorado": {
+       "reporter_rows": 20,
+       "reporters_age_under_60_weighted": 46868.3046875,
+       "reporters_modeled_ssi_zero_weighted": 19189.419921875,
+       "reporters_weighted": 66029.5625
+      },
+      "modeled_ssi_positive_weighted": 2808364.5,
+      "modeled_ssi_weighted": 26742378422.070454,
+      "non_reporter_receives_ssi_true_weighted": 0.0,
+      "paid_reporters_modeled_over_reported_weighted_median": 1.0064034151547492,
+      "payee_only": {
+       "disability_criteria_weighted": 265440.75,
+       "modeled_ssi_positive_weighted": 159342.15625,
+       "modeled_ssi_weighted": 1414248518.7709446,
+       "reported_ssi_val_weighted": 3788563961.8416367,
+       "rows": 133,
+       "weighted": 446328.625
+      },
+      "receives_ssi_jan_true_weighted": 0.0,
+      "receives_ssi_jul_true_weighted": 0.0,
+      "reported_ssi_val_weighted": 48257210010.46449,
+      "reporter_persons_weighted": 5064399.0,
+      "reporter_rows": 1377,
+      "takes_up_true_weighted": 5064399.0,
+      "zero_reasons_jan": {
+       "abd_fails_resource_test": 446630.6875,
+       "abd_resources_ok_other_categorical_fail": 0.0,
+       "eligible_but_income_exceeds_benefit": 708695.1875,
+       "not_abd_under_65_no_disability_criteria": 1012237.5,
+       "not_aged_blind_disabled": 1100708.75,
+       "resource_fail_median_countable_resources": 10000.0,
+       "uncapped_ssi_jan_zero_weighted": 2256034.5
+      }
+     },
+     "state_supplements": {
+      "ak_ssp": {
+       "all_subset": 21482500.936211627,
+       "by_state": {
+        "2": 21482500.936211627
+       },
+       "co_households": 0.0,
+       "reporter_households": 21482500.936211627
+      },
+      "al_ssp": {
+       "all_subset": 0.0,
+       "by_state": {},
+       "co_households": 0.0,
+       "reporter_households": 0.0
+      },
+      "ca_state_supplement": {
+       "all_subset": 115764891.62109375,
+       "by_state": {
+        "6": 115764891.62109375
+       },
+       "co_households": 0.0,
+       "reporter_households": 115764891.62109375
+      },
+      "co_state_supplement": {
+       "all_subset": 220687542.6395879,
+       "by_state": {
+        "8": 220687542.63958794
+       },
+       "co_households": 220687542.6395879,
+       "reporter_households": 0.0
+      },
+      "ct_ssp": {
+       "all_subset": 0.0,
+       "by_state": {},
+       "co_households": 0.0,
+       "reporter_households": 0.0
+      },
+      "de_ssp": {
+       "all_subset": 0.0,
+       "by_state": {},
+       "co_households": 0.0,
+       "reporter_households": 0.0
+      },
+      "ga_ssp": {
+       "all_subset": 0.0,
+       "by_state": {},
+       "co_households": 0.0,
+       "reporter_households": 0.0
+      },
+      "in_ssp": {
+       "all_subset": 0.0,
+       "by_state": {},
+       "co_households": 0.0,
+       "reporter_households": 0.0
+      },
+      "ky_ssp": {
+       "all_subset": 0.0,
+       "by_state": {},
+       "co_households": 0.0,
+       "reporter_households": 0.0
+      },
+      "ma_state_supplement": {
+       "all_subset": 146993681.5695975,
+       "by_state": {
+        "25": 146993681.5695975
+       },
+       "co_households": 0.0,
+       "reporter_households": 146993681.5695975
+      },
+      "me_ssp": {
+       "all_subset": 3370474.1946034273,
+       "by_state": {
+        "23": 3370474.1946034273
+       },
+       "co_households": 0.0,
+       "reporter_households": 3370474.1946034273
+      },
+      "mi_ssp": {
+       "all_subset": 22436216.237780772,
+       "by_state": {
+        "26": 22436216.237780772
+       },
+       "co_households": 0.0,
+       "reporter_households": 22436216.237780772
+      },
+      "mo_ssp": {
+       "all_subset": 0.0,
+       "by_state": {},
+       "co_households": 0.0,
+       "reporter_households": 0.0
+      },
+      "nj_ssp": {
+       "all_subset": 45030420.06715049,
+       "by_state": {
+        "34": 45030420.06715049
+       },
+       "co_households": 0.0,
+       "reporter_households": 45030420.06715049
+      },
+      "nm_ssi_state_supplement": {
+       "all_subset": 0.0,
+       "by_state": {},
+       "co_households": 0.0,
+       "reporter_households": 0.0
+      },
+      "pa_ssp": {
+       "all_subset": 47961218.51644589,
+       "by_state": {
+        "42": 47961218.51644589
+       },
+       "co_households": 0.0,
+       "reporter_households": 47961218.51644589
+      },
+      "sc_ssi_state_supplement": {
+       "all_subset": 0.0,
+       "by_state": {},
+       "co_households": 0.0,
+       "reporter_households": 0.0
+      },
+      "tx_ssi_state_supplement": {
+       "all_subset": 0.0,
+       "by_state": {},
+       "co_households": 0.0,
+       "reporter_households": 0.0
+      },
+      "wa_ssp": {
+       "all_subset": 26000698.80215305,
+       "by_state": {
+        "53": 26000698.80215305
+       },
+       "co_households": 0.0,
+       "reporter_households": 26000698.80215305
+      },
+      "wy_ssp": {
+       "all_subset": 80.1802110671997,
+       "by_state": {
+        "56": 80.1802110671997
+       },
+       "co_households": 0.0,
+       "reporter_households": 80.1802110671997
+      }
+     }
+    },
+    "2026": {
+     "aggregates": {
+      "aca_ptc": {
+       "all_subset": 10987343594.078278,
+       "co_households": 1058083324.8970492,
+       "co_non_reporter_households": 1058083201.8971895,
+       "reporter_households": 9929260392.181087
+      },
+      "chip": {
+       "all_subset": 334841996.26719904,
+       "co_households": 269002184.6953255,
+       "co_non_reporter_households": 269002136.6640313,
+       "reporter_households": 65839859.60316776
+      },
+      "early_head_start": {
+       "all_subset": 8339789094.974609,
+       "co_households": 1068668234.0071985,
+       "co_non_reporter_households": 1068668145.0817534,
+       "reporter_households": 7271120949.892857
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+       "reporter_households": 50946901.99125055
+      },
+      "nm_ssi_state_supplement": {
+       "all_subset": 0.0,
+       "by_state": {},
+       "co_households": 0.0,
+       "reporter_households": 0.0
+      },
+      "pa_ssp": {
+       "all_subset": 49774682.4636164,
+       "by_state": {
+        "42": 49774682.46361639
+       },
+       "co_households": 0.0,
+       "reporter_households": 49774682.4636164
+      },
+      "sc_ssi_state_supplement": {
+       "all_subset": 0.0,
+       "by_state": {},
+       "co_households": 0.0,
+       "reporter_households": 0.0
+      },
+      "tx_ssi_state_supplement": {
+       "all_subset": 0.0,
+       "by_state": {},
+       "co_households": 0.0,
+       "reporter_households": 0.0
+      },
+      "wa_ssp": {
+       "all_subset": 44135420.57323104,
+       "by_state": {
+        "53": 44135420.57323104
+       },
+       "co_households": 0.0,
+       "reporter_households": 44135420.57323104
+      },
+      "wy_ssp": {
+       "all_subset": 269373.4742035903,
+       "by_state": {
+        "56": 269373.4742035903
+       },
+       "co_households": 0.0,
+       "reporter_households": 269373.4742035903
+      }
+     }
+    }
+   }
+  }
+ }
+}
\ No newline at end of file
diff --git a/docs/us-reported-ssi-receipt.md b/docs/us-reported-ssi-receipt.md
new file mode 100644
index 0000000000..dee57dcedc
--- /dev/null
+++ b/docs/us-reported-ssi-receipt.md
@@ -0,0 +1,95 @@
+# US reported SSI receipt (`receives_ssi`)
+
+PolicyEngine-US has a `receives_ssi` input: a monthly person boolean with
+default `False` and no formula. Its rules that key on actual SSI receipt read
+`(ssi > 0) | receives_ssi`. Some grant eligibility to recipients: state
+supplements (for example Georgia, Indiana, Michigan, Pennsylvania, Washington
+and Wyoming on main, and Colorado's AND-CS under 9 CCR 2503-5 §3.546 once
+PolicyEngine/policyengine-us#10145 merges), the Medicaid SSI categories, SNAP
+categorical eligibility and Head Start. Others exclude recipients, such as
+several California county general-assistance programs. Reported receipt
+cannot switch modeled receipt off; that stays the job of
+`takes_up_ssi_if_eligible`.
+
+The published default `populace-us-2024-spm-20260915` carries the raw ASEC
+answers (`SSI_VAL`, `SSI_YN`, `RESNSSI1`, `RESNSSI2`) but no `receives_ssi`.
+The engine therefore treats every person as not reporting receipt, and each
+receipt-keyed rule depends only on modeled SSI.
+
+## What the base build now carries
+
+`cps_carried.reported_ssi_receipt` sets `receives_ssi` from values the
+respondent gave. A person is marked when:
+
+- their annual `SSI_VAL` is positive; and
+- not every recorded reason is a child-payee code (below). A positive amount
+  with no reason recorded counts as own receipt. That is an assumption: the
+  dictionary marks reason code 0 not in universe, and no such row occurs
+  among the pinned default's 1,510 reporters.
+
+Two groups are deliberately not marked:
+
+- **Payees for a child.** A respondent whose recorded reasons, in either
+  position, are all "on behalf of a disabled child" or "on behalf of a blind
+  child" (`RESNSSI` codes 3 and 4;
+  [2024 ASEC data dictionary](https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar24.pdf))
+  is the child's payee, and the amount on their record is the child's
+  benefit. On the pinned default these are 133 rows (446,000 weighted people
+  in 2024).
+- **Children under 15.** ASEC asks SSI only of people aged 15 and older
+  (`SSI_YN` is not in universe below 15).
+
+Neither case names the child who receives the payment, and the producer does
+not guess one. On the pinned default, `SSI_YN == 1` exactly when
+`SSI_VAL > 0` (1,510 of 1,510 rows).
+
+The annual report is broadcast to all twelve modeled months, like
+`receives_snap`, `receives_tanf` and `receives_wic`, because the annual
+source cannot show when receipt started or ended. Only the receipt fact is
+carried. ASEC defines SSI as payments from "state or local welfare offices,
+the Federal government, or both", so a reported amount may include a state
+supplement, and PolicyEngine-US has no amount input that a microsimulation
+should fill. Sending the amount as the `ssi` input would replace the federal
+SSI formula for every reporter, so SSI reforms would no longer move them. The
+`ssi_reported` input is deprecated and feeds nothing.
+
+The producer runs before cloning, so PUF tax-detail clones carry the same
+value as their ASEC source person. This is the same as `SSI_VAL` itself, the
+take-up anchor and the other receipt inputs.
+
+ACS measures SSI receipt itself, so ACS rows never take it from a CPS donor.
+`acs_inputs.map_acs_native_inputs` maps `receives_ssi` from a positive `SSIP`
+(the person's past-12-month SSI income; blank below age 15 is no receipt),
+and the multispine pool lists it among the inputs complete on both spines
+(`_POOL_NATIVE_COMPLETE_OUTPUTS`), so it is never a QRF transfer target. ACS
+records no reason for receipt, so ACS rows cannot exclude child payees.
+
+## Release contract
+
+`receives_ssi` is a hard requirement of the US release input-coverage gate,
+with no reviewed exclusion
+(`release_input_coverage.US_ASEC_REPORTED_SSI_RECEIPT_REQUIRED_INPUTS`). The
+same gate checks two invariants on the export's person table:
+
+- every marked person reports a positive amount of their own: `SSI_VAL` on a
+  CPS-measured row, or the native ACS `ssi_reported` on a stacked ACS row; and
+- every marked CPS-measured person carries `takes_up_ssi_if_eligible`. The
+  take-up stage anchors the source identity of every physical ASEC row with
+  `SSI_VAL > 0` (a PUF row's own `SSI_VAL` is never promoted to an anchor),
+  and the receipt is carried by that identity onto its clones. The stage does not anchor ACS
+  `SSIP` reporters, so stacked ACS rows are counted
+  (`receipt_rows_outside_take_up_anchor`, and those without take-up in
+  `receipt_rows_outside_take_up_anchor_without_take_up`), not judged.
+
+Both are row-dependent, so release preflight treats a failure as at risk on
+the L0 path, where the household selection can drop the inconsistent records,
+and as certain on the full-pool path.
+
+The published default fails the gate on `receives_ssi` until a national build
+persists it.
+
+## Measured effect
+
+[`evidence/us-reported-ssi-receipt/`](evidence/us-reported-ssi-receipt/README.md)
+runs PolicyEngine-US on the pinned default with and without the column. It
+also breaks down why the model and the survey disagree.
diff --git a/packages/microcosm-build/src/microcosm/build/spec_engine/inventory_coverage.py b/packages/microcosm-build/src/microcosm/build/spec_engine/inventory_coverage.py
index 01287d21a3..2cd5c469b2 100644
--- a/packages/microcosm-build/src/microcosm/build/spec_engine/inventory_coverage.py
+++ b/packages/microcosm-build/src/microcosm/build/spec_engine/inventory_coverage.py
@@ -350,7 +350,10 @@
     "acs_person_predictors": "878c788a6f037d7aca12b3586ea034eff04f3034ffa11935a736493042551f25",
     "authority": "9d4a9672a0f03039b1fe874b9fe21ed575be0d29f14afc396d03cdf5c809bdd2",
     "early_families": "4aa9f736fd76e83955477ad1667e58f48f264783f05bdc7f0102cd32d61323bd",
-    "full_checkpoint": "3db095ce2d1ef89028d3862f0edc827d704f099c5b3323f9b115642a3c27e007",
+    # Reported SSI receipt (receives_ssi) becomes an assembled native pool
+    # input, which moves the pool engine-input provisioning the checkpoint
+    # identity binds; no transfer, seed or authority component changes.
+    "full_checkpoint": "9682de0316d09df4ed7f4182c930c55736d49ba2f98220db9a1a4c872707a2f8",
     "gap_fill_schedule": "1c31f9868f7884347cc19cf1ff65da43f950b9114941a715bab168246db414a7",
     "graph_nodes": "40cd51ffdfe2e9d9d08d48c08e8ded9de1e4b134783bab05c4abc6ad5c72ca1e",
     "geography_assignment": "44e7f5f6cd7ceeef85d532c3d46306d03de4f4ee811376e6d29920742746b65c",
diff --git a/packages/microcosm-build/src/microcosm/build/us/engine_abi.lock.json b/packages/microcosm-build/src/microcosm/build/us/engine_abi.lock.json
index 65c22eecef..2e5955151c 100644
--- a/packages/microcosm-build/src/microcosm/build/us/engine_abi.lock.json
+++ b/packages/microcosm-build/src/microcosm/build/us/engine_abi.lock.json
@@ -1 +1 @@
-{"engine":{"package":"policyengine-us","version":"2.2.1"},"programs":{"aca":{"consumers":["assigned_aca_ptc","person_receives_aca","selected_marketplace_plan_actuarial_value","selected_marketplace_plan_premium_proxy"],"default":true,"engine_class":"data_seeded","entity":"tax_unit","value_type":"bool","variable":"takes_up_aca_if_eligible"},"basic_health_program":{"consumers":["basic_health_program_enrolled"],"default":true,"engine_class":"data_seeded","entity":"person","value_type":"bool","variable":"takes_up_basic_health_program_if_eligible"},"ca_premium_subsidy":{"consumers":["assigned_ca_premium_subsidy"],"default":true,"engine_class":"data_seeded","entity":"tax_unit","value_type":"bool","variable":"takes_up_ca_premium_subsidy_if_eligible"},"chip":{"consumers":["chip_enrolled"],"default":true,"engine_class":"data_seeded","entity":"person","value_type":"bool","variable":"takes_up_chip_if_eligible"},"co_premium_assistance":{"consumers":["assigned_co_premium_assistance"],"default":true,"engine_class":"data_seeded","entity":"tax_unit","value_type":"bool","variable":"takes_up_co_premium_assistance_if_eligible"},"dc_ptc":{"consumers":["dc_ptc"],"default":true,"engine_class":"data_seeded","entity":"tax_unit","value_type":"bool","variable":"takes_up_dc_ptc"},"early_head_start":{"consumers":["early_head_start"],"default":true,"engine_class":"data_seeded","entity":"person","value_type":"bool","variable":"takes_up_early_head_start_if_eligible"},"eitc":{"consumers":["dc_eitc_without_qualifying_child","eitc","nj_eitc","ok_federal_eitc","wa_working_families_tax_credit","wa_working_families_tax_credit_age_expansion_eligible"],"default":true,"engine_class":"data_seeded","entity":"tax_unit","value_type":"bool","variable":"takes_up_eitc"},"head_start":{"consumers":["head_start"],"default":true,"engine_class":"data_seeded","entity":"person","value_type":"bool","variable":"takes_up_head_start_if_eligible"},"housing_assistance":{"consumers":["housing_assistance"],"default":true,"engine_class":"data_seeded","entity":"spm_unit","value_type":"bool","variable":"takes_up_housing_assistance_if_eligible"},"medicaid":{"consumers":["medicaid_enrolled"],"default":true,"engine_class":"data_seeded","entity":"person","value_type":"bool","variable":"takes_up_medicaid_if_eligible"},"medicare":{"consumers":["medicare_enrolled"],"default":true,"engine_class":"data_seeded","entity":"person","value_type":"bool","variable":"takes_up_medicare_if_eligible"},"nm_premium_assistance":{"consumers":["assigned_nm_premium_assistance"],"default":true,"engine_class":"data_seeded","entity":"tax_unit","value_type":"bool","variable":"takes_up_nm_premium_assistance_if_eligible"},"snap":{"consumers":["snap"],"default":true,"engine_class":"data_seeded","entity":"spm_unit","value_type":"bool","variable":"takes_up_snap_if_eligible"},"ssi":{"consumers":["ca_sbd_general_relief_receives_other_cash_assistance","ssi"],"default":true,"engine_class":"data_seeded","entity":"person","value_type":"bool","variable":"takes_up_ssi_if_eligible"},"tanf":{"consumers":["ca_calworks_child_care_eligible","tanf"],"default":true,"engine_class":"data_seeded","entity":"spm_unit","value_type":"bool","variable":"takes_up_tanf_if_eligible"},"wic":{"consumers":["wic"],"default":true,"engine_class":"data_seeded","entity":"person","value_type":"bool","variable":"takes_up_wic_if_eligible"}},"remaining_stage_input_manifest":{"receipt":{"consumer_counts":{"PolicyEngineUSEngine.materialize":12,"_complete_schedule_d_input":5,"_simulation_projection":926,"prepare_stacked_tail_derivation":2,"seed_multispine_pool_inputs":17,"ssi_static_dependency_closure":54,"with_us_qbi_input_reconciliation":27,"with_us_take_up_inputs":16},"engine_input_projection_contract":{"default_count":925,"defaults_sha256":"f938af6506623f453ca55922cf4a8ba6443d5f780f85e4381b777083a90396a0","engine_version_ref":{"kind":"engine_abi_lock","pointer":"/engine/version"},"input_count":926,"sha256":"cefb137f164c6629589a887bbb56831ebc463cd46909a72ead4dbe0557961e61"},"entry_count":1059,"manifest_sha256":"0a84565a659a6404cb17715dda36f094a87431c713c7a37bf65a936b16937325","schema_version":1,"sha256":"a1bbee6d7784821947c71551916347a7cf9ac6d15b13ac10c131ae74f941bfe0","ssi_dependency_contract":{"edge_count":187,"engine_version_ref":{"kind":"engine_abi_lock","pointer":"/engine/version"},"formula_node_count":63,"input_leaf_count":54,"root":"ssi","sha256":"200ca39e784511e9ede685261f5e0840198ec2b9c4292a522c0fc504c535b31c"},"stage_counts":{"derive":34,"seed":33,"simulate":992}},"rows":[{"available_by":"transferred","consumer":"_complete_schedule_d_input","entity":"person","execution_scope":"whole_pool","fallback":null,"provision":"pool_input_surface:puf_tax_itemization","stage":"derive","variable":"long_term_capital_gains_before_response"},{"available_by":"transferred","consumer":"_complete_schedule_d_input","entity":"person","execution_scope":"whole_pool","fallback":null,"provision":"pool_input_surface:puf_tax_itemization","stage":"derive","varia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diff --git a/packages/microcosm-build/src/microcosm/build/us/release_input_coverage_manifest.json b/packages/microcosm-build/src/microcosm/build/us/release_input_coverage_manifest.json
index 0e8c171624..1f7378f778 100644
--- a/packages/microcosm-build/src/microcosm/build/us/release_input_coverage_manifest.json
+++ b/packages/microcosm-build/src/microcosm/build/us/release_input_coverage_manifest.json
@@ -337,6 +337,10 @@
    "note": "ASEC reported SNAP receipt (maximum member SPM_SNAPSUB > 0 per SPM unit), carried by cps_carried.derive_us_cps_carried_inputs; a formula-less monthly boolean spm_unit input in PolicyEngine-US 2.2.1. Required with NO reviewed exclusion per PolicyEngine/microcosm#978 option 1: the ACS local-area transfer requires it in its donor, and a local-area release must name a published donor, so a national default that drops it cannot serve the local chain. The published populace-us-2024-spm-20260915 default does not persist it (its Build P parent, built 2026-07-28 at cae8640, predates the ASEC receipt carry of PolicyEngine/microcosm#600) — the intended red gate until a national build persists it.",
    "status": "required"
   },
+  "receives_ssi": {
+   "note": "ASEC reported SSI receipt (SSI_VAL > 0, excluding a respondent whose only RESNSSI reasons are on behalf of a disabled or blind child), carried by cps_carried.derive_us_cps_carried_inputs; a formula-less monthly boolean person input in PolicyEngine-US 2.2.1 that its receipt-keyed rules (state supplements, Medicaid SSI categories, SNAP categorical eligibility) read as (ssi > 0) | receives_ssi. Required with NO reviewed exclusion so those rules never fall back to modeled SSI alone. The coverage gate also requires every marked person to report a positive amount of their own (SSI_VAL on CPS rows, native ssi_reported on stacked ACS rows) and every marked CPS-measured person to carry takes_up_ssi_if_eligible. ACS rows map it natively from SSIP. The published populace-us-2024-spm-20260915 default does not persist it, so the gate is red on it by design until a national build persists it.",
+   "status": "required"
+  },
   "receives_tanf": {
    "note": "ASEC reported TANF receipt (any member with PAW_VAL > 0 and PAW_TYP 1 or 3, per SPM unit), carried by cps_carried.derive_us_cps_carried_inputs; a formula-less monthly boolean spm_unit input in PolicyEngine-US 2.2.1. Required with NO reviewed exclusion per PolicyEngine/microcosm#978 option 1: the ACS local-area transfer requires it in its donor, and a local-area release must name a published donor, so a national default that drops it cannot serve the local chain. The published populace-us-2024-spm-20260915 default does not persist it (its Build P parent, built 2026-07-28 at cae8640, predates the ASEC receipt carry of PolicyEngine/microcosm#600) — the intended red gate until a national build persists it.",
    "status": "required"
@@ -550,11 +554,11 @@
   }
  },
  "counts": {
-  "required": 167,
+  "required": 168,
   "reviewed_exclusion": 7,
-  "total": 174
+  "total": 175
  },
- "derivation": "Required surface = input columns in the pinned, sha-verified ecps_parity_reference.json populated layers, plus the documented post-reference fsla_overtime_premium, qualified_passenger_vehicle_loan_interest, five desired retirement-contribution inputs, meets_ssi_disability_criteria required by shipped validation probes, the #282 Schedule-D capital-gain-distributions route leg schedule_d_capital_gain_distributions (PolicyEngine/microcosm#462), the three ASEC reported-receipt inputs receives_wic, receives_snap, receives_tanf that the ACS local-area transfer requires in its donor (PolicyEngine/microcosm#978 option 1), and the engine's declared dataset source input is_spm_independent_minor_role (the spm_independence_role base-builder stage; PolicyEngine/microcosm#893). status='reviewed_exclusion' for ecps_parity_known_gaps.json entries (reason+issue from that register); EXCEPT every primary-source restoration pinned by RESTORED_REFERENCE_ECPS_REQUIRED_INPUTS (including the Section 199A QBI family), and the SSI countable-resource asset inputs (bank_account_assets, stock_assets, bond_assets), which are status='required' with NO exclusion per PolicyEngine/microcosm#368 so the gate fails on today's artifacts and asset restoration (Deliverable 2) turns it green. All other populated layers are 'required'. Regenerate with tools/build_us_release_input_coverage_manifest.py.",
+ "derivation": "Required surface = input columns in the pinned, sha-verified ecps_parity_reference.json populated layers, plus the documented post-reference fsla_overtime_premium, qualified_passenger_vehicle_loan_interest, five desired retirement-contribution inputs, meets_ssi_disability_criteria required by shipped validation probes, the #282 Schedule-D capital-gain-distributions route leg schedule_d_capital_gain_distributions (PolicyEngine/microcosm#462), the three ASEC reported-receipt inputs receives_wic, receives_snap, receives_tanf that the ACS local-area transfer requires in its donor (PolicyEngine/microcosm#978 option 1), the ASEC reported SSI receipt input receives_ssi that receipt-keyed SSI rules read alongside ssi, and the engine's declared dataset source input is_spm_independent_minor_role (the spm_independence_role base-builder stage; PolicyEngine/microcosm#893). status='reviewed_exclusion' for ecps_parity_known_gaps.json entries (reason+issue from that register); EXCEPT every primary-source restoration pinned by RESTORED_REFERENCE_ECPS_REQUIRED_INPUTS (including the Section 199A QBI family), and the SSI countable-resource asset inputs (bank_account_assets, stock_assets, bond_assets), which are status='required' with NO exclusion per PolicyEngine/microcosm#368 so the gate fails on today's artifacts and asset restoration (Deliverable 2) turns it green. All other populated layers are 'required'. Regenerate with tools/build_us_release_input_coverage_manifest.py.",
  "description": "Declared full-coverage contract for a US release: every input column the reference eCPS exports must be persisted as a key with non-default signal, or carry a reviewed exclusion. Enforced as a hard release gate (microcosm.build.us_runtime.release_input_coverage) that generalizes assert_required_us_release_source_columns from 5 columns to the full eCPS input surface.",
  "issue": "PolicyEngine/microcosm#368",
  "reference": {
diff --git a/packages/microcosm-build/src/microcosm/build/us_runtime/__init__.py b/packages/microcosm-build/src/microcosm/build/us_runtime/__init__.py
index 74e4757cba..93d1f2b5c0 100644
--- a/packages/microcosm-build/src/microcosm/build/us_runtime/__init__.py
+++ b/packages/microcosm-build/src/microcosm/build/us_runtime/__init__.py
@@ -159,6 +159,9 @@
     CPS_CARRIED_FORMULA_OWNED_COLUMNS,
     CPS_CARRIED_PERSON_INPUTS,
     CPS_CARRIED_SPM_UNIT_INPUTS,
+    CPS_REPORTED_SSI_AMOUNT_RAW_COLUMN,
+    CPS_REPORTED_SSI_ON_BEHALF_OF_CHILD_REASON_CODES,
+    CPS_REPORTED_SSI_REASON_RAW_COLUMNS,
     CPS_REPORTED_TANF_AMOUNT_RAW_COLUMN,
     CPS_REPORTED_TANF_TYPE_RAW_COLUMN,
     CPS_REPORTED_WIC_RAW_COLUMN,
@@ -166,6 +169,7 @@
     US_REPORTED_COVERAGE_VINTAGE_GATE_MIN_ROWS,
     WIC_CARRIER_ADJUDICATION_URL,
     derive_us_cps_carried_inputs,
+    reported_ssi_receipt,
     reported_tanf_enrollment_by_spm_unit,
     reported_wic_receipt_carrier,
 )
@@ -675,8 +679,10 @@
 )
 from microcosm.build.us_runtime.release_input_coverage import (
     POST_REFERENCE_ECPS_REQUIRED_INPUTS,
+    REPORTED_SSI_RECEIPT_CONSISTENCY_FAILURE_PREFIX,
     SSI_COUNTABLE_RESOURCE_ASSETS,
     US_ASEC_REPORTED_RECEIPT_REQUIRED_INPUTS,
+    US_ASEC_REPORTED_SSI_RECEIPT_REQUIRED_INPUTS,
     US_CGD_ROUTE_REQUIRED_INPUTS,
     US_RELEASE_INPUT_COVERAGE_RESOURCE,
     ReformCoverageProbe,
@@ -688,6 +694,7 @@
     us_release_input_coverage_required_columns,
     us_release_input_coverage_reviewed_exclusions,
     us_release_reform_coverage_probes,
+    us_reported_ssi_receipt_consistency_failures,
 )
 from microcosm.build.us_runtime.release_target_parity import (
     RED_LINE_COMPILED_FAMILIES,
@@ -1118,6 +1125,9 @@
     "CPS_CARRIED_SPM_UNIT_INPUTS",
     "CPS_REPORTED_TANF_AMOUNT_RAW_COLUMN",
     "CPS_REPORTED_TANF_TYPE_RAW_COLUMN",
+    "CPS_REPORTED_SSI_AMOUNT_RAW_COLUMN",
+    "CPS_REPORTED_SSI_ON_BEHALF_OF_CHILD_REASON_CODES",
+    "CPS_REPORTED_SSI_REASON_RAW_COLUMNS",
     "CPS_REPORTED_WIC_RAW_COLUMN",
     "US_REPORTED_COVERAGE_PERSON_INPUTS",
     "US_REPORTED_COVERAGE_VINTAGE_GATE_MIN_ROWS",
@@ -1892,6 +1902,7 @@
     "congressional_district_distribution_from_ledger_facts",
     "derive_us_cps_carried_inputs",
     "reported_tanf_enrollment_by_spm_unit",
+    "reported_ssi_receipt",
     "reported_wic_receipt_carrier",
     "us_reported_coverage_vintage_signal_gate",
     "disaggregate_us_puf_aggregate_records_from_manifest",
@@ -1946,7 +1957,9 @@
     "assert_validation_leaf_registry_current",
     "SSI_COUNTABLE_RESOURCE_ASSETS",
     "POST_REFERENCE_ECPS_REQUIRED_INPUTS",
+    "REPORTED_SSI_RECEIPT_CONSISTENCY_FAILURE_PREFIX",
     "US_ASEC_REPORTED_RECEIPT_REQUIRED_INPUTS",
+    "US_ASEC_REPORTED_SSI_RECEIPT_REQUIRED_INPUTS",
     "US_CGD_ROUTE_REQUIRED_INPUTS",
     "US_RELEASE_INPUT_COVERAGE_RESOURCE",
     "ReformCoverageProbe",
@@ -1958,6 +1971,7 @@
     "us_release_input_coverage_required_columns",
     "us_release_input_coverage_reviewed_exclusions",
     "us_release_reform_coverage_probes",
+    "us_reported_ssi_receipt_consistency_failures",
     "RED_LINE_COMPILED_FAMILIES",
     "US_TARGET_PARITY_FEED_FAMILIES_RESOURCE",
     "US_TARGET_PARITY_MANIFEST_RESOURCE",
diff --git a/packages/microcosm-build/src/microcosm/build/us_runtime/acs_inputs.py b/packages/microcosm-build/src/microcosm/build/us_runtime/acs_inputs.py
index d7dae0c5cb..97492dba88 100644
--- a/packages/microcosm-build/src/microcosm/build/us_runtime/acs_inputs.py
+++ b/packages/microcosm-build/src/microcosm/build/us_runtime/acs_inputs.py
@@ -205,6 +205,7 @@ def map_acs_native_inputs(frame: Frame) -> AcsNativeInputResult:
         output="ssi_reported",
         register=native,
     )
+    _map_reported_ssi_receipt(person, register=native)
     _map_adjusted_person_amount(
         person,
         source="SSP",
@@ -695,6 +696,56 @@ def _nullable_source_codes(
     return values
 
 
+#: ACS asks income questions, SSI included, of people aged 15 and older.
+_ACS_INCOME_UNIVERSE_MIN_AGE = 15
+
+
+def _map_reported_ssi_receipt(
+    person: pd.DataFrame,
+    *,
+    register: dict[str, Mapping[str, Any]],
+) -> None:
+    """Map ``receives_ssi`` from the respondent's own past-12-month ACS SSIP.
+
+    A positive ``SSIP`` is reported SSI receipt, the ACS counterpart of the CPS
+    rule in ``cps_carried.reported_ssi_receipt``. ``SSIP`` is blank only below
+    the ACS income universe (age 15), where it means no reported receipt; the
+    register counts those rows as ``source_universe_unavailable_rows``. A
+    blank at 15 or older, or a non-numeric value, is refused rather than read
+    as no receipt. ACS records no reason for receipt, so a payee receiving SSI
+    on behalf of a child cannot be told apart here.
+    """
+
+    if "SSIP" not in person:
+        return
+    raw = person["SSIP"]
+    amount = pd.to_numeric(raw, errors="coerce")
+    if (raw.notna() & amount.isna()).any():
+        raise ValueError("ACS SSIP contains non-numeric values.")
+    blank = amount.isna()
+    if blank.any():
+        if "AGEP" not in person:
+            raise ValueError("ACS SSIP blanks require AGEP to check their universe.")
+        age = pd.to_numeric(person["AGEP"], errors="coerce")
+        if (blank & ~(age < _ACS_INCOME_UNIVERSE_MIN_AGE)).any():
+            raise ValueError(
+                "ACS SSIP may be blank only below the age-15 income universe."
+            )
+    _add_native(
+        person,
+        "receives_ssi",
+        (amount.fillna(0.0) > 0.0).to_numpy(dtype=bool),
+        entity="person",
+        source_columns=("SSIP",),
+        transformation="SSIP > 0; blank below age 15 is no reported receipt",
+        register=register,
+    )
+    register["receives_ssi"] = {
+        **register["receives_ssi"],
+        "source_universe_unavailable_rows": int(blank.sum()),
+    }
+
+
 def _map_adjusted_person_amount(
     person: pd.DataFrame,
     *,
diff --git a/packages/microcosm-build/src/microcosm/build/us_runtime/cps_carried.py b/packages/microcosm-build/src/microcosm/build/us_runtime/cps_carried.py
index 82c172e563..a8650d00f2 100644
--- a/packages/microcosm-build/src/microcosm/build/us_runtime/cps_carried.py
+++ b/packages/microcosm-build/src/microcosm/build/us_runtime/cps_carried.py
@@ -28,6 +28,9 @@
     "CPS_CARRIED_PERSON_INPUTS",
     "CPS_CARRIED_SPM_UNIT_INPUTS",
     "CPS_REPORTED_SNAP_RAW_COLUMN",
+    "CPS_REPORTED_SSI_AMOUNT_RAW_COLUMN",
+    "CPS_REPORTED_SSI_ON_BEHALF_OF_CHILD_REASON_CODES",
+    "CPS_REPORTED_SSI_REASON_RAW_COLUMNS",
     "CPS_REPORTED_TANF_AMOUNT_RAW_COLUMN",
     "CPS_REPORTED_TANF_TYPE_RAW_COLUMN",
     "CPS_REPORTED_WIC_RAW_COLUMN",
@@ -36,6 +39,7 @@
     "WIC_CARRIER_ADJUDICATION_URL",
     "derive_us_cps_carried_inputs",
     "reported_snap_receipt_by_spm_unit",
+    "reported_ssi_receipt",
     "reported_tanf_enrollment_by_spm_unit",
     "reported_wic_receipt_carrier",
 ]
@@ -48,6 +52,19 @@
 CPS_REPORTED_TANF_AMOUNT_RAW_COLUMN = "PAW_VAL"
 CPS_REPORTED_TANF_TYPE_RAW_COLUMN = "PAW_TYP"
 CPS_REPORTED_WIC_RAW_COLUMN = "WICYN"
+#: ASEC annual SSI amount. The same column is the SSI take-up stage's reporter
+#: anchor (``ssi_take_up.US_SSI_TAKE_UP_ANCHOR``, pinned equal by a test); it is
+#: not imported from there because this pre-clone stage must not depend on the
+#: take-up stage, whose import would join the pool tool's pinned import graph.
+CPS_REPORTED_SSI_AMOUNT_RAW_COLUMN = "SSI_VAL"
+#: ASEC reasons for SSI receipt (``SSIR``; 2024 ASEC data dictionary,
+#: https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar24.pdf):
+#: 1 disabled, 2 blind, 3 on behalf of a disabled child, 4 on behalf of a
+#: blind child, 5 other; 0 is not in universe. Universe: ``SSI_YN == 1``.
+CPS_REPORTED_SSI_REASON_RAW_COLUMNS: tuple[str, str] = ("RESNSSI1", "RESNSSI2")
+#: Reasons naming SSI the respondent receives as a child's payee, not in
+#: their own right.
+CPS_REPORTED_SSI_ON_BEHALF_OF_CHILD_REASON_CODES = frozenset({3, 4})
 WIC_CARRIER_ADJUDICATION_URL = (
     "https://github.com/PolicyEngine/microcosm/issues/591#issuecomment-5160668979"
 )
@@ -106,6 +123,7 @@
         "health_insurance_premiums_without_medicare_part_b",
         "other_medical_expenses",
         "over_the_counter_health_expenses",
+        "receives_ssi",
         "receives_wic",
         "rental_income",
         "farm_operations_income",
@@ -144,12 +162,13 @@ def derive_us_cps_carried_inputs(
     The transform refuses to run on a non-US frame and never creates
     formula-owned aggregate variables.
 
-    ``PAW_VAL``, ``SPM_SNAPSUB``, and ``WICYN`` are annual reported facts,
-    while the engine's ``receives_tanf``, ``receives_snap``, and
-    ``receives_wic`` leaves are monthly booleans. An annual receipt report is
-    therefore broadcast to all 12 modeled months. The annual source cannot
-    reveal entry or exit timing, and ``PAW_VAL > 0`` misses enrolled TANF
-    units receiving zero dollars, including sanctioned cases.
+    ``PAW_VAL``, ``SPM_SNAPSUB``, ``WICYN``, and ``SSI_VAL`` are annual
+    reported facts, while the engine's ``receives_tanf``, ``receives_snap``,
+    ``receives_wic``, and ``receives_ssi`` leaves are monthly booleans. An
+    annual receipt report is therefore broadcast to all 12 modeled months. The
+    annual source cannot reveal entry or exit timing, and ``PAW_VAL > 0``
+    misses enrolled TANF units receiving zero dollars, including sanctioned
+    cases. See :func:`reported_ssi_receipt` for which SSI reporters count.
 
     ``receives_tanf`` is additionally gated on ``PAW_TYP`` because
     ``PAW_VAL`` alone conflates TANF with other cash welfare; see
@@ -169,6 +188,7 @@ def derive_us_cps_carried_inputs(
     _fill_missing(person, "age", _source(person, "A_AGE"))
     _fill_bool_missing(person, "is_female", _integer_source(person, "A_SEX") == 2)
     _fill_bool_missing(person, "receives_wic", reported_wic_receipt_carrier(person))
+    _fill_bool_missing(person, "receives_ssi", reported_ssi_receipt(person))
     _fill_missing(person, "employment_income_before_lsr", _source(person, "WSAL_VAL"))
     _fill_missing(
         person,
@@ -349,6 +369,67 @@ def reported_snap_receipt_by_spm_unit(person: pd.DataFrame) -> pd.Series:
     )
 
 
+def reported_ssi_receipt(person: pd.DataFrame) -> np.ndarray:
+    """Return each person's own reported SSI receipt, for ``receives_ssi``.
+
+    A person reports receipt when their annual ``SSI_VAL`` is positive and at
+    least one reported reason is their own (disabled, blind or other). A
+    positive amount with no reason recorded is also treated as own receipt:
+    the dictionary marks reason code 0 not in universe, and no such row occurs
+    among the pinned default's 1,510 reporters, so this is an assumption, not
+    a dictionary rule. ``SSI_VAL`` is the take-up stage's reporter anchor
+    (``ssi_take_up.US_SSI_TAKE_UP_ANCHOR``), so every person marked here is
+    also an anchored SSI claimant; the release coverage gate checks it.
+
+    Two exclusions follow from the ASEC questionnaire. A respondent whose only
+    reasons are "on behalf of a disabled child" or "on behalf of a blind child"
+    (``RESNSSI1``/``RESNSSI2`` codes 3 and 4) is the child's payee, and the
+    amount on their record is the child's benefit, so they are not marked.
+    ASEC also asks SSI only of people aged 15 and older (``SSI_YN`` is not in
+    universe below 15), so no child under 15 is ever marked. Neither case
+    names the child who receives the payment, and this function does not
+    guess one.
+
+    ASEC defines SSI as payments from "state or local welfare offices, the
+    Federal government, or both", so a reported amount may include a state
+    supplement; only the receipt fact is carried, never the amount.
+
+    The reason columns are required whenever any amount is positive:
+    coercing absent reasons to zero would silently mark every payee as a
+    recipient.
+    """
+
+    amount = _source(person, CPS_REPORTED_SSI_AMOUNT_RAW_COLUMN)
+    reported = amount > 0.0
+    missing = [
+        column
+        for column in CPS_REPORTED_SSI_REASON_RAW_COLUMNS
+        if column not in person.columns
+    ]
+    if missing and reported.any():
+        raise ValueError(
+            "Reported SSI receipt requires person column(s) "
+            f"{missing} for the positive {CPS_REPORTED_SSI_AMOUNT_RAW_COLUMN} "
+            "rows: without "
+            "the reasons a payee receiving SSI on behalf of a child would be "
+            "marked as the recipient."
+        )
+    payee_codes = sorted(CPS_REPORTED_SSI_ON_BEHALF_OF_CHILD_REASON_CODES)
+    first, second = (
+        _integer_source(person, column)
+        for column in CPS_REPORTED_SSI_REASON_RAW_COLUMNS
+    )
+    # Order-free: every recorded (nonzero) reason is a payee code, and at least
+    # one reason is recorded. Code 0 is not in universe, not a reason.
+    first_payee_or_blank = np.isin(first, [0, *payee_codes])
+    second_payee_or_blank = np.isin(second, [0, *payee_codes])
+    any_recorded = (first != 0) | (second != 0)
+    on_behalf_of_child_only = (
+        first_payee_or_blank & second_payee_or_blank & any_recorded
+    )
+    return reported & ~on_behalf_of_child_only
+
+
 def reported_wic_receipt_carrier(person: pd.DataFrame) -> np.ndarray:
     """Carry the SPM unit's reported WIC receipt fact on its reporting adult.
 
diff --git a/packages/microcosm-build/src/microcosm/build/us_runtime/multispine_pool.py b/packages/microcosm-build/src/microcosm/build/us_runtime/multispine_pool.py
index 9bfdd254ea..c144a77879 100644
--- a/packages/microcosm-build/src/microcosm/build/us_runtime/multispine_pool.py
+++ b/packages/microcosm-build/src/microcosm/build/us_runtime/multispine_pool.py
@@ -366,8 +366,8 @@ class PoolEngineInputProjectionContract:
 """
 
 POOL_PROJECTION_INPUT_PROVISION_COUNTS: tuple[tuple[str, int], ...] = (
-    ("assembled_native_engine_input", 5),
-    ("declared_absent_engine_input", 763),
+    ("assembled_native_engine_input", 6),
+    ("declared_absent_engine_input", 762),
     ("declared_deferred_null_input", 3),
     ("derived_schedule_d_input", 1),
     ("frame_structural_engine_input", 10),
@@ -383,7 +383,7 @@ class PoolEngineInputProjectionContract:
 """
 
 POOL_REMAINING_STAGE_INPUT_MANIFEST_SHA256 = (
-    "0a84565a659a6404cb17715dda36f094a87431c713c7a37bf65a936b16937325"
+    "6619d6ef343fe8339101fb06869d19b8c422aaf6aa14080b4f3294cf3a7ec89a"
 )
 """Pinned content digest of all 1,059 post-transfer consumer/input rows."""
 
@@ -676,6 +676,10 @@ class SourceOperatorContract:
             "age",
             "is_female",
             "is_household_head",
+            # Reported SSI receipt is measured on both arms: the CPS-carried
+            # producer reads SSI_VAL and ``map_acs_native_inputs`` reads ACS
+            # SSIP, so a donor never supplies it.
+            "receives_ssi",
             # The parent ids are complete on both arms without a transfer:
             # the eligibility operator resolves them on the CPS projection
             # and ``map_acs_native_inputs`` writes the ACS spine's declared
diff --git a/packages/microcosm-build/src/microcosm/build/us_runtime/operator_boundary.py b/packages/microcosm-build/src/microcosm/build/us_runtime/operator_boundary.py
index 36405d1b4f..93f37000a8 100644
--- a/packages/microcosm-build/src/microcosm/build/us_runtime/operator_boundary.py
+++ b/packages/microcosm-build/src/microcosm/build/us_runtime/operator_boundary.py
@@ -130,6 +130,12 @@
         "transformation",
     }
 )
+#: Extra receipt fields a native output declares beyond the common keys. Only
+#: ``receives_ssi`` has one: the rows whose blank SSIP lies below the ACS
+#: income universe (age 15), mapped to no reported receipt.
+_NATIVE_INPUT_EXTRA_RECEIPT_KEYS: Mapping[str, frozenset[str]] = {
+    "receives_ssi": frozenset({"source_universe_unavailable_rows"}),
+}
 _ACS_NATIVE_PROVENANCE = "acs_2024_1yr_native"
 _ACS_NATIVE_INPUT_CONTRACTS: Mapping[
     str,
@@ -153,6 +159,11 @@
         ("SSIP", "ADJINC"),
         "SSIP * ADJINC / 1_000_000",
     ),
+    "receives_ssi": (
+        "person",
+        ("SSIP",),
+        "SSIP > 0; blank below age 15 is no reported receipt",
+    ),
     "acs_social_security_income": (
         "person",
         ("SSP", "ADJINC"),
@@ -450,8 +461,9 @@ def _validated_native_inputs(
                 f"{label} native_inputs[{output!r}] is not a declared ACS native "
                 "mapping output."
             )
+        extra_keys = _NATIVE_INPUT_EXTRA_RECEIPT_KEYS.get(output, frozenset())
         if not isinstance(raw_receipt, Mapping) or frozenset(raw_receipt) != (
-            _NATIVE_INPUT_RECEIPT_KEYS
+            _NATIVE_INPUT_RECEIPT_KEYS | extra_keys
         ):
             raise ValueError(
                 f"{label} native_inputs[{output!r}] is not an exact ACS native "
@@ -491,6 +503,13 @@ def _validated_native_inputs(
             )
         _require_row_count(observed_rows, label=label, output=output, field="observed")
         _require_row_count(missing_rows, label=label, output=output, field="missing")
+        for key in sorted(extra_keys):
+            _require_row_count(
+                raw_receipt[key],
+                label=label,
+                output=output,
+                field=key.removesuffix("_rows"),
+            )
         table = frame.table(entity)
         if output not in table:
             raise ValueError(
diff --git a/packages/microcosm-build/src/microcosm/build/us_runtime/release_gate_dry_run.py b/packages/microcosm-build/src/microcosm/build/us_runtime/release_gate_dry_run.py
index 439bfd38e8..8fc2b72bb8 100644
--- a/packages/microcosm-build/src/microcosm/build/us_runtime/release_gate_dry_run.py
+++ b/packages/microcosm-build/src/microcosm/build/us_runtime/release_gate_dry_run.py
@@ -98,6 +98,9 @@
 from typing import Any, Literal, get_args
 
 from microcosm.build.us_runtime.release_gate_preflight import PreflightReport
+from microcosm.build.us_runtime.release_input_coverage import (
+    REPORTED_SSI_RECEIPT_CONSISTENCY_FAILURE_PREFIX,
+)
 from microcosm.build.us_runtime.spm_composition import CheckResult, PreflightStatus
 
 __all__ = [
@@ -1309,12 +1312,21 @@ def input_coverage_register_check(
       (``us_release_input_coverage_signal_counts``) gives those records per
       column; a column whose count does not keep a record under the
       carrier-retention margin is AT-RISK.
+    * A reported-SSI-receipt consistency failure is row-dependent: a selection
+      that drops the inconsistent records would cure it, so it is AT-RISK.
     """
 
     stale = list(gate_details.get("stale_exclusions", ()))
     stale_lines = [line for line in gate_failures if line.startswith("Stale reviewed")]
+    receipt_lines = [
+        line
+        for line in gate_failures
+        if line.startswith(REPORTED_SSI_RECEIPT_CONSISTENCY_FAILURE_PREFIX)
+    ]
     other_lines = [
-        line for line in gate_failures if not line.startswith("Stale reviewed")
+        line
+        for line in gate_failures
+        if not line.startswith("Stale reviewed") and line not in receipt_lines
     ]
     failing_columns = set(gate_details.get("missing", ())) | set(
         gate_details.get("degenerate_required", ())
@@ -1339,9 +1351,16 @@ def input_coverage_register_check(
         at_risks = ()
     else:
         failures = tuple(other_lines)
-        at_risks = tuple(
-            f"{line} (L0 path: a selection that drops every carrier would cure it)"
-            for line in stale_lines
+        at_risks = (
+            tuple(
+                f"{line} (L0 path: a selection that drops every carrier would cure it)"
+                for line in stale_lines
+            )
+            + tuple(
+                f"{line} (L0 path: a selection that drops the inconsistent "
+                "records would cure it)"
+                for line in receipt_lines
+            )
         ) + tuple(
             f"{column}: required input column with {count} record(s) off the "
             "engine default; on the L0 path the release re-grades input coverage "
@@ -1360,6 +1379,11 @@ def input_coverage_register_check(
             f"{len(gate_details.get('degenerate_required', ()))} degenerate required "
             f"column(s); {len(stale)} stale and "
             f"{len(gate_details.get('dormant_exclusions', ()))} dormant exclusion(s)"
+            + (
+                f"; {len(receipt_lines)} reported SSI receipt consistency failure(s)"
+                if receipt_lines
+                else ""
+            )
             + (
                 " (unenforced: --allow-input-coverage-gaps)"
                 if waived and not gate_passed
@@ -1383,6 +1407,15 @@ def input_coverage_register_check(
             "dormant_exclusions": list(gate_details.get("dormant_exclusions", ())),
             "calibration_path": "full_pool" if support_fixed else "l0_selection",
             **({"l0_fragile_required_columns": fragile} if fragile else {}),
+            **(
+                {
+                    "reported_ssi_receipt_consistency": dict(
+                        gate_details["reported_ssi_receipt_consistency"]
+                    )
+                }
+                if "reported_ssi_receipt_consistency" in gate_details
+                else {}
+            ),
         },
     )
 
diff --git a/packages/microcosm-build/src/microcosm/build/us_runtime/release_input_coverage.py b/packages/microcosm-build/src/microcosm/build/us_runtime/release_input_coverage.py
index e803bb0137..1cecea50b3 100644
--- a/packages/microcosm-build/src/microcosm/build/us_runtime/release_input_coverage.py
+++ b/packages/microcosm-build/src/microcosm/build/us_runtime/release_input_coverage.py
@@ -39,6 +39,16 @@
 contract refuses as a donor. They are ``required`` with no reviewed exclusion so
 no future national default can ship without them.
 
+The ASEC reported SSI receipt input (``receives_ssi``,
+:data:`US_ASEC_REPORTED_SSI_RECEIPT_REQUIRED_INPUTS`) follows the same pattern
+for a different reason: PolicyEngine-US rules that require actual SSI receipt
+(state supplements, Medicaid SSI categories, SNAP categorical eligibility) read
+``(ssi > 0) | receives_ssi``, so without the survey fact every one of them
+depends only on modeled take-up and imputed attributes. The gate also proves
+the column is consistent with the SSI take-up stage: every person it marks
+reports a positive ``SSI_VAL`` and is an anchored claimant
+(``takes_up_ssi_if_eligible``).
+
 :func:`assert_release_input_coverage_manifest_current` proves the manifest against
 the pinned eCPS surface and the live PolicyEngine-US graph, so the register
 cannot silently rot: it must cover exactly the reference eCPS populated layers,
@@ -55,6 +65,9 @@
 from pathlib import Path
 from typing import Any
 
+import numpy as np
+import pandas as pd
+
 from microcosm.build.gates import GateResult, input_column_coverage_gate
 from microcosm.build.us_runtime.capital_gain_details import (
     US_CAPITAL_GAIN_DETAILS_OUTPUT_COLUMNS,
@@ -106,7 +119,10 @@
 from microcosm.build.us_runtime.ssi_disability_criteria import (
     US_SSI_DISABILITY_CRITERIA_OUTPUT_COLUMNS,
 )
-from microcosm.build.us_runtime.ssi_take_up import US_SSI_TAKE_UP_OUTPUT_COLUMNS
+from microcosm.build.us_runtime.ssi_take_up import (
+    US_SSI_TAKE_UP_ANCHOR,
+    US_SSI_TAKE_UP_OUTPUT_COLUMNS,
+)
 from microcosm.build.us_runtime.voluntary_filing import (
     US_VOLUNTARY_FILING_OUTPUT_COLUMNS,
 )
@@ -119,7 +135,9 @@
 )
 
 __all__ = [
+    "REPORTED_SSI_RECEIPT_CONSISTENCY_FAILURE_PREFIX",
     "US_ASEC_REPORTED_RECEIPT_REQUIRED_INPUTS",
+    "US_ASEC_REPORTED_SSI_RECEIPT_REQUIRED_INPUTS",
     "US_CGD_ROUTE_REQUIRED_INPUTS",
     "US_RELEASE_INPUT_COVERAGE_RESOURCE",
     "POST_REFERENCE_ECPS_REQUIRED_INPUTS",
@@ -133,6 +151,7 @@
     "project_ecps_parity_known_gap_names",
     "us_release_input_coverage_gate",
     "us_release_input_coverage_required_columns",
+    "us_reported_ssi_receipt_consistency_failures",
     "us_release_input_coverage_reviewed_exclusions",
     "us_release_input_coverage_signal_counts",
     "us_release_reform_coverage_probes",
@@ -181,6 +200,10 @@
         "receives_wic",
         "receives_snap",
         "receives_tanf",
+        # The ASEC reported SSI receipt input (cps_carried.reported_ssi_receipt):
+        # receipt-keyed SSI rules read it alongside modeled ssi, so a national
+        # default must carry it (US_ASEC_REPORTED_SSI_RECEIPT_REQUIRED_INPUTS).
+        "receives_ssi",
         # The engine's one declared dataset source input
         # (policyengine_us.spm.DATASET_SOURCE_INPUTS): without it a 15-to-17-
         # year-old heading an SPM unit is unclassified and the whole
@@ -287,6 +310,17 @@
     "receives_tanf",
 )
 
+#: The ASEC reported SSI receipt input. PolicyEngine-US 2.2.1 declares
+#: ``receives_ssi`` a formula-less monthly person boolean (default ``False``),
+#: and its receipt-keyed rules read ``(ssi > 0) | receives_ssi``. The base build
+#: derives it from ASEC (``cps_carried.reported_ssi_receipt``: ``SSI_VAL > 0``,
+#: excluding people who receive SSI only on behalf of a child). It ships as a
+#: hard requirement with NO reviewed exclusion, so a national release that drops
+#: or defaults it fails the coverage gate, and
+#: :func:`us_reported_ssi_receipt_consistency_failures` proves every marked
+#: person is a positive ``SSI_VAL`` reporter and an anchored SSI claimant.
+US_ASEC_REPORTED_SSI_RECEIPT_REQUIRED_INPUTS = ("receives_ssi",)
+
 
 @dataclass(frozen=True)
 class ReleaseInputColumn:
@@ -681,7 +715,7 @@ def us_release_input_coverage_gate(
     reviewed = manifest.reviewed_exclusions
     present_values = _coverage_present_values(frame, required | set(reviewed))
     degenerate, no_observed = _degenerate_columns(present_values, engine)
-    return input_column_coverage_gate(
+    coverage = input_column_coverage_gate(
         present_values.keys(),
         required_columns=required,
         degenerate_columns=degenerate,
@@ -689,6 +723,139 @@ def us_release_input_coverage_gate(
         reviewed_exclusions=reviewed,
         name="us_release_input_coverage",
     )
+    receipt_failures, receipt_details = (
+        us_reported_ssi_receipt_consistency_failures(frame.table("person"))
+        if "person" in frame.entities
+        else ((), {"evaluated": False})
+    )
+    failures = (*coverage.failures, *receipt_failures)
+    return GateResult(
+        name=coverage.name,
+        passed=not failures,
+        failures=tuple(failures),
+        details={
+            **dict(coverage.details),
+            "reported_ssi_receipt_consistency": receipt_details,
+        },
+    )
+
+
+#: Every consistency failure line starts with this, so preflight can classify
+#: row-dependent receipt failures apart from absent or degenerate columns.
+REPORTED_SSI_RECEIPT_CONSISTENCY_FAILURE_PREFIX = "Reported SSI receipt consistency: "
+#: The harmonized native ACS SSI amount a stacked ACS row carries instead of
+#: ``SSI_VAL`` (``acs_inputs.map_acs_native_inputs``).
+_ACS_REPORTED_SSI_AMOUNT = "ssi_reported"
+
+
+def us_reported_ssi_receipt_consistency_failures(
+    person: Any,
+) -> tuple[tuple[str, ...], dict[str, object]]:
+    """Check ``receives_ssi`` against the reported amount and take-up anchor.
+
+    For every person the column marks:
+
+    - **Reported amount.** The person's own reported amount is positive:
+      ``SSI_VAL`` on a CPS-measured row, or the native ACS ``ssi_reported`` on
+      a stacked ACS row. Stacked rows carry exactly one of the two. A marked
+      row with neither observed fails.
+    - **Take-up anchor.** On a CPS-measured row (``SSI_VAL`` observed),
+      ``takes_up_ssi_if_eligible`` is true. The SSI take-up stage anchors the
+      source identity of every physical ASEC row with ``SSI_VAL > 0``, and the
+      receipt is carried by the same identity onto its clones. A stacked ACS
+      row is outside that anchor (the stage anchors CPS reporters only), so it
+      is counted, and the ones without take-up are counted separately, not
+      judged.
+
+    A table that marks receipt but carries neither ``SSI_VAL`` nor
+    ``ssi_reported`` fails: there is no reported amount to check.
+
+    A table without ``receives_ssi`` returns no failures; the coverage gate
+    already fails a required column that is absent.
+
+    Returns:
+        The failure lines and aggregate counts (never row values).
+    """
+
+    if "receives_ssi" not in person.columns:
+        return (), {"evaluated": False}
+    receipt = _boolean_values(person["receives_ssi"], "receives_ssi")
+    failures: list[str] = []
+    details: dict[str, object] = {
+        "evaluated": True,
+        "rows": int(len(receipt)),
+        "receipt_rows": int(receipt.sum()),
+    }
+    cps_amount = _optional_amount(person, US_SSI_TAKE_UP_ANCHOR)
+    acs_amount = _optional_amount(person, _ACS_REPORTED_SSI_AMOUNT)
+    if cps_amount is not None or acs_amount is not None:
+        cps_observed = (
+            ~np.isnan(cps_amount)
+            if cps_amount is not None
+            else np.zeros(len(receipt), dtype=bool)
+        )
+        amount = np.where(
+            cps_observed,
+            np.nan_to_num(cps_amount) if cps_amount is not None else 0.0,
+            acs_amount if acs_amount is not None else np.nan,
+        )
+        without_amount = int((receipt & ~(np.nan_to_num(amount) > 0.0)).sum())
+        details["receipt_rows_without_positive_reported_amount"] = without_amount
+        if without_amount:
+            failures.append(
+                f"{REPORTED_SSI_RECEIPT_CONSISTENCY_FAILURE_PREFIX}receives_ssi: "
+                f"{without_amount} person row(s) are marked as reported SSI "
+                "recipients without a positive reported SSI amount (SSI_VAL or "
+                "ACS ssi_reported)."
+            )
+    else:
+        cps_observed = np.zeros(len(receipt), dtype=bool)
+        details["receipt_rows_without_positive_reported_amount"] = int(receipt.sum())
+        if receipt.any():
+            failures.append(
+                f"{REPORTED_SSI_RECEIPT_CONSISTENCY_FAILURE_PREFIX}receives_ssi: "
+                f"{int(receipt.sum())} person row(s) are marked as reported SSI "
+                "recipients but the table carries neither SSI_VAL nor ACS "
+                "ssi_reported."
+            )
+    take_up_column = US_SSI_TAKE_UP_OUTPUT_COLUMNS[0]
+    if take_up_column in person.columns:
+        take_up = _boolean_values(person[take_up_column], take_up_column)
+        without_take_up = int((receipt & cps_observed & ~take_up).sum())
+        details["receipt_rows_without_take_up"] = without_take_up
+        details["receipt_rows_outside_take_up_anchor"] = int(
+            (receipt & ~cps_observed).sum()
+        )
+        # Counted, not judged: ACS reporters are not take-up-anchored yet, so
+        # these are the rows whose reported receipt meets modeled non-claiming.
+        details["receipt_rows_outside_take_up_anchor_without_take_up"] = int(
+            (receipt & ~cps_observed & ~take_up).sum()
+        )
+        if without_take_up:
+            failures.append(
+                f"{REPORTED_SSI_RECEIPT_CONSISTENCY_FAILURE_PREFIX}receives_ssi: "
+                f"{without_take_up} CPS-measured reported SSI recipient row(s) "
+                "carry takes_up_ssi_if_eligible = False; the SSI take-up stage "
+                "anchors every SSI_VAL reporter as a claimant."
+            )
+    return tuple(failures), details
+
+
+def _optional_amount(person: Any, column: str) -> np.ndarray | None:
+    if column not in person.columns:
+        return None
+    return pd.to_numeric(person[column], errors="coerce").to_numpy(dtype=np.float64)
+
+
+def _boolean_values(values: Any, column: str) -> np.ndarray:
+    series = pd.Series(values)
+    if series.isna().any():
+        raise ValueError(f"{column} must be complete to check SSI receipt.")
+    # 0 and 1 compare (and hash) equal to False and True, so integer-coded
+    # booleans pass; any other value is refused.
+    if not set(pd.unique(series)) <= {False, True}:
+        raise ValueError(f"{column} must be boolean to check SSI receipt.")
+    return series.astype(bool).to_numpy()
 
 
 def _coverage_engine() -> Any | None:
@@ -789,6 +956,9 @@ def assert_release_input_coverage_manifest_current(
       ``receives_snap``, ``receives_tanf``) must be ``required`` with no
       reviewed exclusion — #978 option 1: a national default that drops them
       cannot serve as the ACS local-area donor.
+    - The ASEC reported SSI receipt input (``receives_ssi``) must be
+      ``required`` with no reviewed exclusion, so receipt-keyed SSI rules
+      never silently fall back to modeled SSI alone.
     - No restored reference input may sit in the eCPS parity known-gap register
       (``ecps_parity_known_gaps.json``, or ``parity_known_gaps`` names when
       given) under either its live or its historical spelling: the parity gate
@@ -871,6 +1041,19 @@ def assert_release_input_coverage_manifest_current(
                 "required manifest column (#978)."
             )
 
+    for receipt_input in US_ASEC_REPORTED_SSI_RECEIPT_REQUIRED_INPUTS:
+        if receipt_input in reviewed:
+            failures.append(
+                f"{receipt_input}: ASEC reported SSI receipt input is a reviewed "
+                "exclusion, but it must be a hard requirement with no exclusion "
+                "so receipt-keyed SSI rules never fall back to modeled SSI alone."
+            )
+        elif receipt_input not in required:
+            failures.append(
+                f"{receipt_input}: ASEC reported SSI receipt input must be a "
+                "required manifest column."
+            )
+
     for column in RESTORED_REFERENCE_ECPS_REQUIRED_INPUTS:
         if column in reviewed:
             failures.append(
diff --git a/packages/microcosm-build/tests/engine_contract/us/test_release_input_coverage.py b/packages/microcosm-build/tests/engine_contract/us/test_release_input_coverage.py
index 29591bbc3a..2f4fb07753 100644
--- a/packages/microcosm-build/tests/engine_contract/us/test_release_input_coverage.py
+++ b/packages/microcosm-build/tests/engine_contract/us/test_release_input_coverage.py
@@ -440,3 +440,150 @@ def test_real_engine_treats_receipt_inputs_as_false_default_input_leaves(
         )
         assert not failing.passed
         assert failing.details["degenerate_required"] == sorted(names)
+
+
+class TestAsecReportedSsiReceiptInputGuarantee:
+    """The ASEC reported SSI receipt input is a hard requirement of the national
+    release coverage gate, and the gate proves it agrees with the SSI take-up
+    anchor: receipt-keyed SSI rules read ``(ssi > 0) | receives_ssi``, so a
+    default without it makes every such rule depend on modeled SSI alone."""
+
+    def test_constant_names_the_ssi_receipt_input(self) -> None:
+        assert US_ASEC_REPORTED_SSI_RECEIPT_REQUIRED_INPUTS == ("receives_ssi",)
+
+    def test_ssi_receipt_input_is_an_asec_carry_stage_person_output(self) -> None:
+        assert set(US_ASEC_REPORTED_SSI_RECEIPT_REQUIRED_INPUTS) <= (
+            CPS_CARRIED_PERSON_INPUTS
+        )
+
+    def test_ssi_receipt_input_is_a_post_reference_hard_requirement(self) -> None:
+        assert (
+            set(US_ASEC_REPORTED_SSI_RECEIPT_REQUIRED_INPUTS)
+            <= POST_REFERENCE_ECPS_REQUIRED_INPUTS
+        )
+        manifest = load_release_input_coverage_manifest()
+        for column in US_ASEC_REPORTED_SSI_RECEIPT_REQUIRED_INPUTS:
+            assert column in manifest.required_columns
+            assert column not in manifest.reviewed_exclusions
+            entry = next(entry for entry in manifest.columns if entry.name == column)
+            assert "on behalf of a disabled or blind child" in entry.note
+
+    def test_ssi_receipt_input_cannot_regress_to_reviewed_exclusion(self) -> None:
+        manifest = load_release_input_coverage_manifest()
+        demoted = ReleaseInputCoverageManifest(
+            reference=manifest.reference,
+            columns=tuple(
+                ReleaseInputColumn(
+                    name=entry.name,
+                    status="reviewed_exclusion",
+                    reason="regression attempt",
+                    issue="PolicyEngine/microcosm#368",
+                )
+                if entry.name == "receives_ssi"
+                else entry
+                for entry in manifest.columns
+            ),
+            probes=manifest.probes,
+            schema_version=manifest.schema_version,
+        )
+
+        with pytest.raises(ValueError, match="receives_ssi: ASEC reported SSI"):
+            assert_release_input_coverage_manifest_current(manifest=demoted)
+
+    def test_ssi_receipt_input_cannot_be_dropped_from_the_manifest(self) -> None:
+        manifest = load_release_input_coverage_manifest()
+        dropped = ReleaseInputCoverageManifest(
+            reference=manifest.reference,
+            columns=tuple(
+                entry for entry in manifest.columns if entry.name != "receives_ssi"
+            ),
+            probes=manifest.probes,
+            schema_version=manifest.schema_version,
+        )
+
+        with pytest.raises(ValueError, match="receives_ssi: ASEC reported SSI"):
+            assert_release_input_coverage_manifest_current(manifest=dropped)
+
+    def test_consistent_candidate_passes(self) -> None:
+        result = us_release_input_coverage_gate(
+            _ssi_receipt_candidate(),
+            _StubEngine(_SSI_RECEIPT_DEFAULTS),
+            manifest=_SSI_RECEIPT_CONTRACT,
+        )
+
+        assert result.passed
+        assert result.failures == ()
+        assert result.details["reported_ssi_receipt_consistency"] == {
+            "evaluated": True,
+            "rows": 4,
+            "receipt_rows": 2,
+            "receipt_rows_without_positive_reported_amount": 0,
+            "receipt_rows_without_take_up": 0,
+            "receipt_rows_outside_take_up_anchor": 0,
+            "receipt_rows_outside_take_up_anchor_without_take_up": 0,
+        }
+
+    def test_candidate_without_receipt_fails_as_absent(self) -> None:
+        result = us_release_input_coverage_gate(
+            _ssi_receipt_candidate(omit=("receives_ssi",)),
+            _StubEngine(_SSI_RECEIPT_DEFAULTS),
+            manifest=_SSI_RECEIPT_CONTRACT,
+        )
+
+        assert not result.passed
+        assert result.details["missing"] == ["receives_ssi"]
+        assert result.details["reported_ssi_receipt_consistency"] == {
+            "evaluated": False
+        }
+
+    def test_all_false_receipt_fails_as_degenerate(self) -> None:
+        result = us_release_input_coverage_gate(
+            _ssi_receipt_candidate(receipt=(False,) * 4),
+            _StubEngine(_SSI_RECEIPT_DEFAULTS),
+            manifest=_SSI_RECEIPT_CONTRACT,
+        )
+
+        assert not result.passed
+        assert result.details["degenerate_required"] == ["receives_ssi"]
+
+    def test_receipt_without_positive_ssi_val_fails(self) -> None:
+        result = us_release_input_coverage_gate(
+            _ssi_receipt_candidate(
+                receipt=(True, True, False, True), take_up=(True,) * 4
+            ),
+            _StubEngine(_SSI_RECEIPT_DEFAULTS),
+            manifest=_SSI_RECEIPT_CONTRACT,
+        )
+
+        assert not result.passed
+        assert result.failures == (
+            "Reported SSI receipt consistency: receives_ssi: 1 person row(s) are "
+            "marked as reported SSI recipients without a positive reported SSI "
+            "amount (SSI_VAL or ACS ssi_reported).",
+        )
+
+    def test_receipt_without_take_up_fails(self) -> None:
+        result = us_release_input_coverage_gate(
+            _ssi_receipt_candidate(take_up=(False, False, True, True)),
+            _StubEngine(_SSI_RECEIPT_DEFAULTS),
+            manifest=_SSI_RECEIPT_CONTRACT,
+        )
+
+        assert not result.passed
+        assert len(result.failures) == 1
+        assert "takes_up_ssi_if_eligible = False" in result.failures[0]
+        details = result.details["reported_ssi_receipt_consistency"]
+        assert details["receipt_rows_without_take_up"] == 1
+
+    def test_real_engine_treats_receives_ssi_as_a_false_default_input_leaf(
+        self,
+    ) -> None:
+        __import__("policyengine_us")
+        from microcosm.frame.adapters.policyengine_us import PolicyEngineUSEngine
+
+        engine = PolicyEngineUSEngine()
+        assert engine.default_values(["receives_ssi"]) == {"receives_ssi": False}
+        assert "receives_ssi" in set(engine.variables())
+        assert us_release_input_coverage_gate(
+            _ssi_receipt_candidate(), engine, manifest=_SSI_RECEIPT_CONTRACT
+        ).passed
diff --git a/packages/microcosm-build/tests/engine_free/us/test_us_acs_inputs.py b/packages/microcosm-build/tests/engine_free/us/test_us_acs_inputs.py
index 8ae28e141c..e44b89fdc4 100644
--- a/packages/microcosm-build/tests/engine_free/us/test_us_acs_inputs.py
+++ b/packages/microcosm-build/tests/engine_free/us/test_us_acs_inputs.py
@@ -124,7 +124,13 @@ def test_acs_eligible_or_unknown_hours_blank_stays_unresolved(wkl):
 @pytest.mark.parametrize("age", [0, 12, 15])
 def test_acs_under_sixteen_niu_is_unavailable_not_observed_nonwork(age):
     result = map_acs_native_inputs(
-        _hours_frame(AGEP=[40, age], WKHP=[40, np.nan], WKL=[1, np.nan])
+        _hours_frame(
+            AGEP=[40, age],
+            WKHP=[40, np.nan],
+            WKL=[1, np.nan],
+            # SSIP is in universe from age 15.
+            SSIP=[200.0, np.nan if age < 15 else 0.0],
+        )
     )
     assert pd.isna(result.frame.person["weekly_hours_worked_before_lsr"].iloc[1])
     receipt = result.native_inputs["weekly_hours_worked_before_lsr"]
@@ -195,6 +201,35 @@ def test_acs_income_mapping_adjusts_native_dollars_without_splitting_aggregates(
     assert result.native_inputs["employment_income_before_lsr"]["missing_rows"] == 1
 
 
+def test_acs_reported_ssi_receipt_is_positive_native_ssip() -> None:
+    result = map_acs_native_inputs(_acs_frame())
+    person = result.frame.table("person")
+
+    # The adult reports SSIP; the 12-year-old is below the ACS income
+    # universe, so the blank is no reported receipt.
+    assert person["receives_ssi"].tolist() == [True, False]
+    assert pd.api.types.is_bool_dtype(person["receives_ssi"])
+    assert result.native_inputs["receives_ssi"]["source_columns"] == ["SSIP"]
+    assert result.native_inputs["receives_ssi"]["missing_rows"] == 0
+    assert result.native_inputs["receives_ssi"]["source_universe_unavailable_rows"] == 1
+
+    zero = map_acs_native_inputs(_hours_frame(SSIP=[0.0, np.nan]))
+    assert zero.frame.table("person")["receives_ssi"].tolist() == [False, False]
+
+
+@pytest.mark.parametrize(
+    ("columns", "message"),
+    [
+        ({"SSIP": ["many", np.nan]}, "non-numeric"),
+        ({"SSIP": [np.nan, np.nan]}, "blank only below the age-15"),
+        ({"SSIP": [200.0, np.nan], "AGEP": [40, 15]}, "blank only below the age-15"),
+    ],
+)
+def test_acs_reported_ssi_receipt_refuses_invalid_ssip(columns, message) -> None:
+    with pytest.raises(ValueError, match=message):
+        map_acs_native_inputs(_hours_frame(**columns))
+
+
 def test_acs_housing_mapping_preserves_rent_without_synthesizing_model_rent() -> None:
     result = map_acs_native_inputs(_acs_frame())
     person = result.frame.table("person")
diff --git a/packages/microcosm-build/tests/engine_free/us/test_us_acs_multispine.py b/packages/microcosm-build/tests/engine_free/us/test_us_acs_multispine.py
index f421dce480..93f0a926ce 100644
--- a/packages/microcosm-build/tests/engine_free/us/test_us_acs_multispine.py
+++ b/packages/microcosm-build/tests/engine_free/us/test_us_acs_multispine.py
@@ -283,6 +283,9 @@ def test__given_tiny_frames__then_mapping_transfer_and_pool_interoperate(
         [55_000.0, 0.0]
     )
     assert acs_people["qualified_dividend_income"].notna().all()
+    # Reported SSI receipt is native on the ACS spine (SSIP 0 for both
+    # fixture people), never drawn from a donor.
+    assert acs_people["receives_ssi"].tolist() == [False, False]
     assert (
         result.frame.weights_for("household").total
         == base.weights_for("household").total
diff --git a/packages/microcosm-build/tests/engine_free/us/test_us_multispine_pool.py b/packages/microcosm-build/tests/engine_free/us/test_us_multispine_pool.py
index 4e15a813be..c13b01e217 100644
--- a/packages/microcosm-build/tests/engine_free/us/test_us_multispine_pool.py
+++ b/packages/microcosm-build/tests/engine_free/us/test_us_multispine_pool.py
@@ -1030,11 +1030,11 @@ def test_remaining_stage_manifest_enumerates_every_simulation_projection_input()
             "materialized_pool_input_surface": 122,
             "seed_stage_program_contract": 17,
             "declared_deferred_null_input": 3,
-            "assembled_native_engine_input": 5,
+            "assembled_native_engine_input": 6,
             "frame_structural_engine_input": 10,
             "preserved_stacked_engine_input": 4,
             "derived_schedule_d_input": 1,
-            "declared_absent_engine_input": 763,
+            "declared_absent_engine_input": 762,
             "unprovisioned_source_input": 1,
         }
     )
@@ -2594,3 +2594,18 @@ def materialize(
         }
         for column in POOL_DEFERRED_TRANSFER_INPUTS
     }
+
+
+def test_reported_ssi_receipt_is_native_on_both_spines_and_never_transferred() -> None:
+    from microcosm.build.us_runtime.multispine_pool import (
+        _POOL_NATIVE_COMPLETE_OUTPUTS,
+    )
+
+    transferred = {
+        column
+        for families in pool_transfer_target_families().values()
+        for columns in families.values()
+        for column in columns
+    }
+    assert "receives_ssi" not in transferred
+    assert "receives_ssi" in _POOL_NATIVE_COMPLETE_OUTPUTS["person"]
diff --git a/packages/microcosm-build/tests/engine_free/us/test_us_release_gate_dry_run.py b/packages/microcosm-build/tests/engine_free/us/test_us_release_gate_dry_run.py
index c0c8a2c27c..122623d22d 100644
--- a/packages/microcosm-build/tests/engine_free/us/test_us_release_gate_dry_run.py
+++ b/packages/microcosm-build/tests/engine_free/us/test_us_release_gate_dry_run.py
@@ -1068,6 +1068,55 @@ def test_input_coverage_is_certain_on_full_pool_and_stale_is_at_risk_on_l0() ->
     assert len(l0.at_risks) == 1 and "L0 path" in l0.at_risks[0]
 
 
+def test_reported_ssi_receipt_inconsistency_is_at_risk_on_l0_and_certain_on_full() -> (
+    None
+):
+    from microcosm.build.us_runtime.release_input_coverage import (
+        REPORTED_SSI_RECEIPT_CONSISTENCY_FAILURE_PREFIX,
+        us_reported_ssi_receipt_consistency_failures,
+    )
+
+    receipt_failures, receipt_details = us_reported_ssi_receipt_consistency_failures(
+        pd.DataFrame(
+            {
+                "receives_ssi": [True, True],
+                "SSI_VAL": [9_600.0, 9_600.0],
+                "takes_up_ssi_if_eligible": [True, False],
+            }
+        )
+    )
+    assert receipt_failures[0].startswith(
+        REPORTED_SSI_RECEIPT_CONSISTENCY_FAILURE_PREFIX
+    )
+    kwargs = {
+        "gate_passed": False,
+        "gate_failures": receipt_failures,
+        "gate_details": {
+            "missing": [],
+            "degenerate_required": [],
+            "stale_exclusions": [],
+            "reported_ssi_receipt_consistency": receipt_details,
+        },
+        "waived": False,
+    }
+
+    full = dry.input_coverage_register_check(support_fixed=True, **kwargs)
+    assert full.status == "FAIL"
+    assert full.failures == receipt_failures
+    assert "1 reported SSI receipt consistency failure(s)" in full.summary
+    assert full.details["reported_ssi_receipt_consistency"] == receipt_details
+
+    l0 = dry.input_coverage_register_check(
+        support_fixed=False,
+        signal_counts={},
+        margins=dry.DryRunMargins(),
+        **kwargs,
+    )
+    assert l0.status == "AT_RISK"
+    assert l0.failures == ()
+    assert len(l0.at_risks) == 1 and "inconsistent records" in l0.at_risks[0]
+
+
 def test_l0_input_coverage_pass_is_at_risk_when_a_selection_can_empty_it() -> None:
     """Review finding 3: a staged PASS the L0 export re-grade can flip."""
 
diff --git a/packages/microcosm-build/tests/engine_free/us/test_us_reported_ssi_receipt.py b/packages/microcosm-build/tests/engine_free/us/test_us_reported_ssi_receipt.py
new file mode 100644
index 0000000000..19467be915
--- /dev/null
+++ b/packages/microcosm-build/tests/engine_free/us/test_us_reported_ssi_receipt.py
@@ -0,0 +1,324 @@
+"""Reported SSI receipt (``receives_ssi``) from CPS ASEC ``SSI_VAL``/``RESNSSI``.
+
+Invariants under test, for every input:
+
+* a person is marked only if they report a positive ``SSI_VAL``;
+* a person whose only reported reasons are "on behalf of a disabled (blind)
+  child" is never marked;
+* every other positive reporter is marked (own reason or no reason recorded);
+* adding an own reason never unmarks a person;
+* the derivation is idempotent and leaves an existing column untouched; and
+* the release consistency check fails exactly when a marked person lacks a
+  positive observed ``SSI_VAL`` or the SSI take-up anchor.
+"""
+
+from __future__ import annotations
+
+import numpy as np
+import pandas as pd
+import pytest
+from hypothesis import given, settings
+from hypothesis import strategies as st
+
+from microcosm.build.us_runtime.cps_carried import (
+    CPS_CARRIED_PERSON_INPUTS,
+    CPS_REPORTED_SSI_AMOUNT_RAW_COLUMN,
+    CPS_REPORTED_SSI_ON_BEHALF_OF_CHILD_REASON_CODES,
+    CPS_REPORTED_SSI_REASON_RAW_COLUMNS,
+    derive_us_cps_carried_inputs,
+    reported_ssi_receipt,
+)
+from microcosm.build.us_runtime.release_input_coverage import (
+    us_reported_ssi_receipt_consistency_failures,
+)
+from microcosm.build.us_runtime.ssi_take_up import US_SSI_TAKE_UP_ANCHOR
+from microcosm.frame import Frame
+from test_support.microcosm_build.us_puf_support import _raw_asec_predictor_frame
+
+_REASON_CODES = st.integers(min_value=0, max_value=5)
+_AMOUNTS = st.one_of(
+    st.just(0.0),
+    st.just(float("nan")),
+    st.floats(min_value=-500.0, max_value=60_000.0),
+)
+
+
+def _person(amounts: list[float], first: list[int], second: list[int]) -> pd.DataFrame:
+    return pd.DataFrame(
+        {
+            US_SSI_TAKE_UP_ANCHOR: amounts,
+            CPS_REPORTED_SSI_REASON_RAW_COLUMNS[0]: first,
+            CPS_REPORTED_SSI_REASON_RAW_COLUMNS[1]: second,
+        }
+    )
+
+
+def _expected(amounts: list[float], first: list[int], second: list[int]) -> list[bool]:
+    # Independent oracle: a payee is someone whose recorded (nonzero) reasons
+    # are all child-payee codes.
+    payee = CPS_REPORTED_SSI_ON_BEHALF_OF_CHILD_REASON_CODES
+    expected = []
+    for amount, one, two in zip(amounts, first, second, strict=True):
+        recorded = {reason for reason in (one, two) if reason != 0}
+        payee_only = bool(recorded) and recorded <= payee
+        expected.append(bool(np.nan_to_num(amount) > 0) and not payee_only)
+    return expected
+
+
+def test_reason_codes_follow_the_asec_data_dictionary() -> None:
+    assert CPS_REPORTED_SSI_REASON_RAW_COLUMNS == ("RESNSSI1", "RESNSSI2")
+    assert frozenset({3, 4}) == CPS_REPORTED_SSI_ON_BEHALF_OF_CHILD_REASON_CODES
+    # The receipt reads the take-up stage's anchor column, so every marked
+    # person is an anchored claimant.
+    assert CPS_REPORTED_SSI_AMOUNT_RAW_COLUMN == US_SSI_TAKE_UP_ANCHOR == "SSI_VAL"
+    assert "receives_ssi" in CPS_CARRIED_PERSON_INPUTS
+
+
+@pytest.mark.parametrize(
+    ("amount", "first", "second", "marked"),
+    [
+        (0.0, 0, 0, False),  # no SSI reported
+        (9_600.0, 1, 0, True),  # disabled
+        (9_600.0, 2, 0, True),  # blind
+        (9_600.0, 5, 0, True),  # other (typically aged)
+        (9_600.0, 0, 0, True),  # positive amount, reason not recorded
+        (9_600.0, 3, 0, False),  # only on behalf of a disabled child
+        (9_600.0, 4, 0, False),  # only on behalf of a blind child
+        (9_600.0, 3, 4, False),  # both child-payee reasons
+        (9_600.0, 0, 3, False),  # child-payee reason recorded second only
+        (9_600.0, 0, 1, True),  # own reason recorded second only
+        (9_600.0, 3, 1, True),  # payee who also receives SSI in own right
+        (9_600.0, 1, 3, True),
+        (-50.0, 1, 0, False),  # nonpositive amounts never mark
+    ],
+)
+def test_reported_ssi_receipt_examples(
+    amount: float, first: int, second: int, marked: bool
+) -> None:
+    assert reported_ssi_receipt(_person([amount], [first], [second])).tolist() == [
+        marked
+    ]
+
+
+@settings(max_examples=300, deadline=None)
+@given(st.lists(st.tuples(_AMOUNTS, _REASON_CODES, _REASON_CODES), max_size=40))
+def test_reported_ssi_receipt_matches_its_definition(rows) -> None:
+    amounts = [row[0] for row in rows]
+    first = [row[1] for row in rows]
+    second = [row[2] for row in rows]
+    result = reported_ssi_receipt(_person(amounts, first, second))
+
+    assert result.dtype == bool
+    assert result.tolist() == _expected(amounts, first, second)
+    # A marked person always reports a positive amount.
+    assert not np.any(result & ~(np.nan_to_num(np.asarray(amounts, float)) > 0))
+
+
+@settings(max_examples=200, deadline=None)
+@given(
+    st.lists(
+        st.tuples(_AMOUNTS, _REASON_CODES, _REASON_CODES), min_size=1, max_size=20
+    ),
+    st.sampled_from([1, 2, 5]),
+)
+def test_adding_an_own_reason_never_unmarks(rows, own_reason: int) -> None:
+    amounts = [row[0] for row in rows]
+    first = [row[1] for row in rows]
+    second = [row[2] for row in rows]
+    before = reported_ssi_receipt(_person(amounts, first, second))
+    after = reported_ssi_receipt(_person(amounts, first, [own_reason] * len(rows)))
+
+    assert not np.any(before & ~after)
+    assert after.tolist() == [bool(np.nan_to_num(amount) > 0) for amount in amounts]
+
+
+def test_missing_reasons_refuse_only_when_an_amount_is_positive() -> None:
+    reported = pd.DataFrame({US_SSI_TAKE_UP_ANCHOR: [0.0, 1_200.0]})
+    with pytest.raises(ValueError, match="RESNSSI1"):
+        reported_ssi_receipt(reported)
+
+    nobody = pd.DataFrame({US_SSI_TAKE_UP_ANCHOR: [0.0, 0.0]})
+    assert reported_ssi_receipt(nobody).tolist() == [False, False]
+    assert reported_ssi_receipt(pd.DataFrame(index=range(2))).tolist() == [
+        False,
+        False,
+    ]
+
+
+def _with_person_columns(frame: Frame, columns: dict[str, list]) -> Frame:
+    tables = {entity: frame.table(entity).copy() for entity in frame.entities}
+    for name, values in columns.items():
+        tables["person"][name] = values
+    return Frame(
+        tables,
+        frame.schema,
+        {entity: frame.weights_for(entity) for entity in frame.weighted_entities},
+        frame.strata,
+        mass_log=frame.mass_log,
+        metadata=frame.metadata,
+    )
+
+
+def test_cps_carried_derives_receives_ssi_on_person() -> None:
+    frame = _with_person_columns(
+        _raw_asec_predictor_frame(),
+        {
+            "SSI_VAL": [0.0, 9_600.0, 7_200.0],
+            "RESNSSI1": [0, 1, 3],
+            "RESNSSI2": [0, 0, 0],
+        },
+    )
+    person = derive_us_cps_carried_inputs(frame).table("person")
+
+    assert person["receives_ssi"].tolist() == [False, True, False]
+    assert pd.api.types.is_bool_dtype(person["receives_ssi"])
+
+
+def test_cps_carried_receives_ssi_is_idempotent() -> None:
+    frame = _with_person_columns(
+        _raw_asec_predictor_frame(),
+        {
+            "SSI_VAL": [0.0, 9_600.0, 7_200.0],
+            "RESNSSI1": [0, 1, 3],
+            "RESNSSI2": [0, 0, 0],
+        },
+    )
+    once = derive_us_cps_carried_inputs(frame)
+    twice = derive_us_cps_carried_inputs(once)
+    pd.testing.assert_series_equal(
+        once.table("person")["receives_ssi"], twice.table("person")["receives_ssi"]
+    )
+
+    preset = _with_person_columns(frame, {"receives_ssi": [True, False, False]})
+    kept = derive_us_cps_carried_inputs(preset).table("person")["receives_ssi"]
+    assert kept.tolist() == [True, False, False]
+
+
+def test_cps_carried_fixture_without_ssi_columns_marks_nobody() -> None:
+    person = derive_us_cps_carried_inputs(_raw_asec_predictor_frame()).table("person")
+    assert person["receives_ssi"].tolist() == [False, False, False]
+
+
+def _consistency_person(receipt, ssi_val, take_up) -> pd.DataFrame:
+    return pd.DataFrame(
+        {
+            "receives_ssi": np.asarray(receipt, dtype=bool),
+            "SSI_VAL": np.asarray(ssi_val, dtype=np.float64),
+            "takes_up_ssi_if_eligible": np.asarray(take_up, dtype=bool),
+        }
+    )
+
+
+def test_consistency_check_skips_a_table_without_receipt() -> None:
+    failures, details = us_reported_ssi_receipt_consistency_failures(
+        pd.DataFrame({"SSI_VAL": [1.0]})
+    )
+    assert failures == ()
+    assert details == {"evaluated": False}
+
+
+def test_consistency_check_judges_acs_rows_by_their_native_amount() -> None:
+    # A stacked ACS row carries ssi_reported instead of SSI_VAL. Its amount
+    # arm uses ssi_reported; it sits outside the CPS take-up anchor, so its
+    # take-up is counted but not judged.
+    person = pd.DataFrame(
+        {
+            "receives_ssi": [True, True, True],
+            "SSI_VAL": [9_600.0, np.nan, np.nan],
+            "ssi_reported": [np.nan, 8_400.0, 0.0],
+            "takes_up_ssi_if_eligible": [True, False, True],
+        }
+    )
+    failures, details = us_reported_ssi_receipt_consistency_failures(person)
+    assert details["receipt_rows_without_positive_reported_amount"] == 1
+    assert details["receipt_rows_without_take_up"] == 0
+    assert details["receipt_rows_outside_take_up_anchor"] == 2
+    assert details["receipt_rows_outside_take_up_anchor_without_take_up"] == 1
+    assert len(failures) == 1
+    assert "without a positive reported SSI amount" in failures[0]
+
+    consistent = person.assign(ssi_reported=[np.nan, 8_400.0, 1.0])
+    assert us_reported_ssi_receipt_consistency_failures(consistent)[0] == ()
+
+
+def test_consistency_check_fails_receipt_without_any_amount_column() -> None:
+    failures, details = us_reported_ssi_receipt_consistency_failures(
+        pd.DataFrame(
+            {"receives_ssi": [True, False], "takes_up_ssi_if_eligible": [True, True]}
+        )
+    )
+    assert details["receipt_rows_without_positive_reported_amount"] == 1
+    assert len(failures) == 1 and "neither SSI_VAL nor ACS ssi_reported" in failures[0]
+
+    nobody = us_reported_ssi_receipt_consistency_failures(
+        pd.DataFrame({"receives_ssi": [False, False]})
+    )
+    assert nobody[0] == ()
+
+
+def test_consistency_check_fails_a_marked_row_with_no_observed_amount() -> None:
+    failures, details = us_reported_ssi_receipt_consistency_failures(
+        _consistency_person([True], [np.nan], [True])
+    )
+    assert details["receipt_rows_without_positive_reported_amount"] == 1
+    assert failures != ()
+
+
+def test_consistency_check_rejects_incomplete_or_nonboolean_receipt() -> None:
+    with pytest.raises(ValueError, match="complete"):
+        us_reported_ssi_receipt_consistency_failures(
+            pd.DataFrame({"receives_ssi": [True, None]})
+        )
+    with pytest.raises(ValueError, match="boolean"):
+        us_reported_ssi_receipt_consistency_failures(
+            pd.DataFrame({"receives_ssi": [2, 0]})
+        )
+
+
+@settings(max_examples=300, deadline=None)
+@given(
+    st.lists(
+        st.tuples(
+            st.booleans(),
+            st.one_of(st.just(np.nan), st.floats(-10.0, 20_000.0)),
+            st.booleans(),
+        ),
+        max_size=30,
+    )
+)
+def test_consistency_check_fails_exactly_on_violations(rows) -> None:
+    receipt = np.asarray([row[0] for row in rows], dtype=bool)
+    ssi_val = np.asarray([row[1] for row in rows], dtype=np.float64)
+    take_up = np.asarray([row[2] for row in rows], dtype=bool)
+    failures, details = us_reported_ssi_receipt_consistency_failures(
+        _consistency_person(receipt, ssi_val, take_up)
+    )
+
+    observed = ~np.isnan(ssi_val)
+    without_amount = int(np.sum(receipt & ~(np.nan_to_num(ssi_val) > 0)))
+    without_take_up = int(np.sum(receipt & observed & ~take_up))
+    assert details["receipt_rows"] == int(receipt.sum())
+    assert details["receipt_rows_without_positive_reported_amount"] == without_amount
+    assert details["receipt_rows_without_take_up"] == without_take_up
+    assert details["receipt_rows_outside_take_up_anchor"] == int(
+        np.sum(receipt & ~observed)
+    )
+    assert details["receipt_rows_outside_take_up_anchor_without_take_up"] == int(
+        np.sum(receipt & ~observed & ~take_up)
+    )
+    assert (failures == ()) == (without_amount == 0 and without_take_up == 0)
+
+
+@settings(max_examples=200, deadline=None)
+@given(
+    st.lists(st.tuples(_AMOUNTS, _REASON_CODES, _REASON_CODES), max_size=30),
+)
+def test_derived_receipt_always_passes_the_consistency_check(rows) -> None:
+    # Round trip: receipt derived from SSI_VAL, with the take-up stage's anchor
+    # (every positive SSI_VAL reporter takes up), is always consistent.
+    amounts = [row[0] for row in rows]
+    person = _person(amounts, [row[1] for row in rows], [row[2] for row in rows])
+    person["receives_ssi"] = reported_ssi_receipt(person)
+    person["takes_up_ssi_if_eligible"] = np.nan_to_num(np.asarray(amounts, float)) > 0
+    failures, _ = us_reported_ssi_receipt_consistency_failures(person)
+    assert failures == ()
diff --git a/test_support/microcosm_build/release_input_coverage.py b/test_support/microcosm_build/release_input_coverage.py
index f6e28476d1..71317355fb 100644
--- a/test_support/microcosm_build/release_input_coverage.py
+++ b/test_support/microcosm_build/release_input_coverage.py
@@ -39,6 +39,7 @@
     POST_REFERENCE_ECPS_REQUIRED_INPUTS,
     SSI_COUNTABLE_RESOURCE_ASSETS,
     US_ASEC_REPORTED_RECEIPT_REQUIRED_INPUTS,
+    US_ASEC_REPORTED_SSI_RECEIPT_REQUIRED_INPUTS,
     US_CGD_ROUTE_REQUIRED_INPUTS,
     US_QBI_OUTPUT_COLUMNS,
     US_RELEASE_INPUT_COVERAGE_RESOURCE,
@@ -353,4 +354,38 @@ def _receipt_candidate(*, omit: str | None = None, all_default: bool = False) ->
     return _us_entity_frame(3, person, {"spm_unit": spm_unit})
 
 
+_SSI_RECEIPT_DEFAULTS = {
+    name: False for name in US_ASEC_REPORTED_SSI_RECEIPT_REQUIRED_INPUTS
+}
+_SSI_RECEIPT_CONTRACT = _manifest(
+    tuple(
+        ReleaseInputColumn(name, "required")
+        for name in US_ASEC_REPORTED_SSI_RECEIPT_REQUIRED_INPUTS
+    )
+)
+
+
+def _ssi_receipt_candidate(
+    *,
+    receipt: tuple[bool, ...] = (False, True, False, True),
+    ssi_val: tuple[float, ...] = (0.0, 9600.0, 0.0, 12000.0),
+    take_up: tuple[bool, ...] = (False, True, True, True),
+    omit: tuple[str, ...] = (),
+) -> Frame:
+    """A candidate export carrying ``receives_ssi`` beside its raw evidence.
+
+    The defaults are consistent: every marked person reports a positive
+    ``SSI_VAL`` and carries ``takes_up_ssi_if_eligible``. ``omit`` drops named
+    person columns from the export entirely.
+    """
+    person = {
+        "receives_ssi": np.asarray(receipt, dtype=bool),
+        "SSI_VAL": np.asarray(ssi_val, dtype=np.float64),
+        "takes_up_ssi_if_eligible": np.asarray(take_up, dtype=bool),
+    }
+    for column in omit:
+        person.pop(column, None)
+    return _us_entity_frame(len(receipt), person)
+
+
 __all__ = [name for name in globals() if not name.startswith("__")]
diff --git a/tools/build_us_acs_local_release.py b/tools/build_us_acs_local_release.py
index ebe36a549c..0bfa61897b 100644
--- a/tools/build_us_acs_local_release.py
+++ b/tools/build_us_acs_local_release.py
@@ -3065,7 +3065,8 @@ def do_finalize(args) -> None:
             "note": (
                 "Input coverage is enforced on the certified donor release "
                 "before transfer; the ACS spine inherits required inputs via "
-                "QRF transfer. ACS native GQ-housing / source-universe nulls "
+                "QRF transfer, except native ACS leaves such as receives_ssi "
+                "(from SSIP). ACS native GQ-housing / source-universe nulls "
                 "are reviewed_limitations (calibration_blocker: false) and "
                 "are NOT re-imposed on the ACS spine."
             ),
diff --git a/tools/build_us_fiscal_refresh_release.py b/tools/build_us_fiscal_refresh_release.py
index be88543d84..788d6e87e0 100644
--- a/tools/build_us_fiscal_refresh_release.py
+++ b/tools/build_us_fiscal_refresh_release.py
@@ -1311,7 +1311,8 @@ def _parse_args(argv: Sequence[str] | None = None) -> argparse.Namespace:
         help=(
             "Diagnostic escape hatch (microcosm#368): record the release "
             "input-column coverage gate result — required eCPS input columns "
-            "the export drops or leaves degenerate — without failing the "
+            "the export drops or leaves degenerate, and the reported SSI "
+            "receipt consistency checks — without failing the "
             "build. Release builds must leave this unset; the gate is a hard "
             "certification blocker."
         ),
diff --git a/tools/build_us_release_input_coverage_manifest.py b/tools/build_us_release_input_coverage_manifest.py
index be6f9f56f2..326dc6dba4 100644
--- a/tools/build_us_release_input_coverage_manifest.py
+++ b/tools/build_us_release_input_coverage_manifest.py
@@ -94,6 +94,8 @@
     "receives_wic",
     "receives_snap",
     "receives_tanf",
+    # Reported SSI receipt: receipt-keyed SSI rules read it alongside ssi.
+    "receives_ssi",
 )
 
 # Shared tail of the three #978 reported-receipt notes: why each is a hard
@@ -192,6 +194,22 @@
         "cps_carried.derive_us_cps_carried_inputs; a formula-less monthly "
         "boolean spm_unit input in PolicyEngine-US 2.2.1. " + _RECEIPT_INPUT_NOTE_TAIL
     ),
+    "receives_ssi": (
+        "ASEC reported SSI receipt (SSI_VAL > 0, excluding a respondent whose "
+        "only RESNSSI reasons are on behalf of a disabled or blind child), "
+        "carried by cps_carried.derive_us_cps_carried_inputs; a formula-less "
+        "monthly boolean person input in PolicyEngine-US 2.2.1 that its "
+        "receipt-keyed rules (state supplements, Medicaid SSI categories, SNAP "
+        "categorical eligibility) read as (ssi > 0) | receives_ssi. Required "
+        "with NO reviewed exclusion so those rules never fall back to modeled "
+        "SSI alone. The coverage gate also requires every marked person to "
+        "report a positive amount of their own (SSI_VAL on CPS rows, native "
+        "ssi_reported on stacked ACS rows) and every marked CPS-measured "
+        "person to carry takes_up_ssi_if_eligible. ACS rows map it natively "
+        "from SSIP. The "
+        "published populace-us-2024-spm-20260915 default does not persist it, "
+        "so the gate is red on it by design until a national build persists it."
+    ),
 }
 
 QBI_INPUTS = (
@@ -1624,7 +1642,9 @@ def build_manifest() -> dict:
             "(PolicyEngine/microcosm#462), the three ASEC reported-receipt "
             "inputs receives_wic, receives_snap, receives_tanf that the ACS "
             "local-area transfer requires in its donor "
-            "(PolicyEngine/microcosm#978 option 1), and the engine's declared "
+            "(PolicyEngine/microcosm#978 option 1), the ASEC reported SSI "
+            "receipt input receives_ssi that receipt-keyed SSI rules read "
+            "alongside ssi, and the engine's declared "
             "dataset source input is_spm_independent_minor_role (the "
             "spm_independence_role base-builder stage; "
             "PolicyEngine/microcosm#893). "