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D-STAUNEN-2: AtlasIR × SNN/HDC × Moore plasticity oracle and cost gates - #1887
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This was referenced Oct 31, 2026
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October 31, 2026 14:42
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Round 2 complete: CC-ready staged research plan
Documentation only. No production code, ABI, storage, ClassId or merge. Branch based independently on
main.Purpose
Stage D-STAUNEN-2 of the DT64 intrinsic-plasticity convergence. Preserves the biology vs epistemology vs HDC vs logic distinctions, with source links, pinned external research, exact known repo anchors, independent oracles and negative/disable gates.
CC landing instructions
CLAUDE.mdand the newdocs/research/learning/d-staunen-2-atlasir-snn-hdc-moore.md, plus D-STAUNEN-0: preserve DT64 neuro-symbolic plasticity convergence mindmap (research only) #1885 mindmap.mainand each named owner before assigning work; do not duplicate lance-graph-nsl: NSL neighbor selection + graph loss against frozen NSL oracles; production-path evaluation #1846, docs(research): DR64³ exact residuals × Predicate64/Thought64/CE64 epiphany learning #1847 or xlog-relcomp-probe: execute on ndarray::simd; bind through lance-graph-dt64; pin the Epi5 reading #1884.Cross-stage dependencies
Mindmap #1885; ISA #1886; biology #1887; XLOG/NSL #1888; meta-learning #1889. The branches are not stacked; this is a logical research sequence, not a source-code merge chain.
Sources
Li AtlasIR manuscript/repositories; Lisman–Grace, Frey–Morris, Gerstner eligibility, Abraham–Bear metaplasticity, Miconi learning-to-learn, SpikeHD, Spiking Phasors, SynapseHD, 2026 HDC decoding, Neural Graph Machines, XLOG. Full source and DOI links live inside the document.
Verification status
Documentation created/updated on GitHub only; no compilation, benchmarks or scientific experiments executed by this PR. Do not merge automatically.