Brandon Schneider 49d0559beb feat(lean): HouseholderQR — QR factorization for O_AMMR ... Implements Householder reflections for QR factorization: - Q16Vec/Q16Mat: fixed-dimension vectors/matrices in Q16_16 - HouseholderReflection: H = I - 2vv^T/(v^T v) - householderVector: compute reflection from column - applyReflection: Hx = x - 2(v·x)/(v·v) * v - qrFactorize: QR via Householder reflections - incrementalUpdate: add column and update QR (streaming) - quantize/quantizeVec: deterministic quantization for hashing - O_AMMR_QRNode: QR state + basis size + hash Key properties: - All Q16_16 fixed-point (no Float) - Deterministic quantization for hashing - Incremental update for streaming spike trains - Basis size control (rank control) 1 sorry: n > 0 precondition for householderVector lake build: 3302 jobs, 0 errors		2026-05-30 15:04:06 -05:00
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conversions/hardware	WIP: accumulated changes	2026-05-25 16:24:21 -05:00
external/OTOM	WIP: accumulated changes	2026-05-25 16:24:21 -05:00
LeanGPT	Remove legacy Python prototypes superseded by Lean formalization	2026-05-19 15:34:17 +00:00
Semantics	feat(lean): HouseholderQR — QR factorization for O_AMMR	2026-05-30 15:04:06 -05:00
CHAIN_ALL_REVIEW_REPORT.md	initial: sovereign research stack (consolidated, weightless, and lfs-optimized)	2026-05-04 18:11:36 -05:00