v0.5.0

Added

• Phase-aware face weighting: 3 phase centroids (comprehension/evaluation/application) provide 30% modulation on face relevance scores. Pre-computed per-word phase similarity matrix.
• Expanded contextual disambiguation: 15 trigger words with 15 context-aware senses (up from 8/10). Covers physics→methodology, drama→aesthetics, rhetoric→semiotics contexts.
• Per-face question position matching: pre-computed per-word best-matching question within each face. Phase 2 blends axis projection (40%) with question-matched position (60%).
• Question-guided vocabulary expansion: 15K→20K words selected by proximity to 1728 construction question embeddings (not generic frequency). Covers literary/archaic terms like "imitation", "catharsis", "sovereignty".
• Benchmark script (scripts/benchmark_8texts.py): 8-text literary benchmark across Shakespeare, Genesis, Marx, MLK, Newton, Aristotle, Tao Te Ching, Descartes.
• Model2Vec integration (conditional): if distilled sentence transformer exists at build time, uses Model2Vec vectors instead of GloVe. Currently disabled (GloVe outperforms for this domain).
• Semantic bridge algorithm specification (docs/specs/semantic-bridge-algorithms.md).
• /pre-release and /release project commands.
• /research-semantic-improvement research command.

Changed

• Contrastive cube-pair dampening: 30% score transfer within each complementary pair, enforcing theoretical/applied distinction.
• Synonym decontamination: refined pole synonyms for Ethics, Aesthetics, Teleology, Axiology, Phenomenology, Praxeology to reduce cross-face vocabulary overlap.

Performance

• Literary text benchmark: 18/20 expected faces in top 6 (up from 14/20 at v0.4.0 keyword-only baseline).
• Remaining 2 misses (MLK teleology, Newton methodology) are at the fundamental limit of word-level static embeddings.
• 300 tests passing (up from 261).