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Claude 61d91a0ef9 feat: Add ADR-017 temporal tensor compression with tiered quantization 
Introduces a complete temporal tensor compression system with:

- ADR-017: SOTA research-backed architecture decision record covering
  groupwise symmetric quantization, temporal segment reuse, access-pattern
  driven tier selection (8/7/5/3 bit), and WASM-compatible design

- ruvector-temporal-tensor crate (zero external dependencies):
  - tier_policy: Score-based hot/warm/cold bit-width selection
  - f16: Software IEEE 754 half-precision conversion
  - bitpack: Arbitrary bit-width stream packing (no alignment waste)
  - quantizer: Groupwise symmetric quantization with f16 scales
  - segment: Binary segment format (TQTC) encode/decode
  - compressor: Temporal segment manager with drift detection
  - ffi: WASM/C FFI with handle-based resource management

- ruvector-temporal-tensor-wasm crate for wasm32 targets

- 33 passing unit tests covering all modules

Compression targets: 4x (hot/8-bit), 4.57x (warm/7-bit),
6.4x (warm/5-bit), 10.67x (cold/3-bit) vs f32 baseline.

https://claude.ai/code/session_01U63xtGd5Q8mUevyY7nUSfJ
2026-02-06 00:28:21 +00:00
..
coherence-engine feat(prime-radiant): Universal Coherence Engine with Sheaf Laplacian AI Safety (#131) 2026-01-22 21:27:27 -05:00
delta-behavior feat(delta-behavior): Complete Δ-behavior implementation with WASM 2026-01-28 04:18:34 +00:00
ADR-001-ruvector-core-architecture.md feat(training): RuvLTRA v2.4 Ecosystem Edition - 100% routing accuracy (#123) 2026-01-20 20:08:30 -05:00
ADR-002-ruvllm-integration.md feat(training): RuvLTRA v2.4 Ecosystem Edition - 100% routing accuracy (#123) 2026-01-20 20:08:30 -05:00
ADR-003-simd-optimization-strategy.md feat(training): RuvLTRA v2.4 Ecosystem Edition - 100% routing accuracy (#123) 2026-01-20 20:08:30 -05:00
ADR-004-kv-cache-management.md feat(training): RuvLTRA v2.4 Ecosystem Edition - 100% routing accuracy (#123) 2026-01-20 20:08:30 -05:00
ADR-005-wasm-runtime-integration.md feat(training): RuvLTRA v2.4 Ecosystem Edition - 100% routing accuracy (#123) 2026-01-20 20:08:30 -05:00
ADR-006-memory-management.md feat(training): RuvLTRA v2.4 Ecosystem Edition - 100% routing accuracy (#123) 2026-01-20 20:08:30 -05:00
ADR-007-security-review-technical-debt.md feat(training): RuvLTRA v2.4 Ecosystem Edition - 100% routing accuracy (#123) 2026-01-20 20:08:30 -05:00
ADR-008-mistral-rs-integration.md feat(training): RuvLTRA v2.4 Ecosystem Edition - 100% routing accuracy (#123) 2026-01-20 20:08:30 -05:00
ADR-009-structured-output.md feat(training): RuvLTRA v2.4 Ecosystem Edition - 100% routing accuracy (#123) 2026-01-20 20:08:30 -05:00
ADR-010-function-calling.md feat(training): RuvLTRA v2.4 Ecosystem Edition - 100% routing accuracy (#123) 2026-01-20 20:08:30 -05:00
ADR-011-prefix-caching.md feat(training): RuvLTRA v2.4 Ecosystem Edition - 100% routing accuracy (#123) 2026-01-20 20:08:30 -05:00
ADR-012-security-remediation.md feat(training): RuvLTRA v2.4 Ecosystem Edition - 100% routing accuracy (#123) 2026-01-20 20:08:30 -05:00
ADR-013-huggingface-publishing.md feat(training): RuvLTRA v2.4 Ecosystem Edition - 100% routing accuracy (#123) 2026-01-20 20:08:30 -05:00
ADR-014-coherence-engine.md feat(prime-radiant): Universal Coherence Engine with Sheaf Laplacian AI Safety (#131) 2026-01-22 21:27:27 -05:00
ADR-015-coherence-gated-transformer.md feat(prime-radiant): Universal Coherence Engine with Sheaf Laplacian AI Safety (#131) 2026-01-22 21:27:27 -05:00
ADR-016-delta-behavior-ddd-architecture.md feat(delta-behavior): Complete Δ-behavior implementation with WASM 2026-01-28 04:18:34 +00:00
ADR-017-temporal-tensor-compression.md feat: Add ADR-017 temporal tensor compression with tiered quantization 2026-02-06 00:28:21 +00:00
ADR-0027-hnsw-parameterized-query-fix.md fix(hnsw): resolve segfault with parameterized queries (Issue #141) 2026-01-28 16:34:42 +00:00