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v2.4.1 — Slow-Graph Tension Filter + Targeted Compression

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@gorajing gorajing released this 12 Apr 04:55
· 377 commits to main since this release

Three system-level fixes plus 8 new principles from targeted compression. The centerpiece is the polarity rework: the tension-candidate generator now consumes the 28,659-edge slow graph as an authoritative pre-filter instead of relying on weak lexical heuristics, reducing the candidate queue from 28 paraphrase-dominated entries to 9 legitimate candidates with real CHALLENGES pairs boosted to the top.

Highlights

  • Tension generator consumes the slow graph — pairs that classify-edges.ts has already marked as SUPPORTS/REFINES/EXTENDS are hard-rejected before any scoring runs. CHALLENGES/CONTRADICTS pairs get a +5 boost. A content-level Jaccard gate at 0.30 catches no-edge paraphrases as a secondary filter. Both gates apply during the merge step so stale candidates from prior runs get cleaned too.
  • Wake ghost-prediction fix centralized — extracted filterActivePredictionEvidence<T> as a shared generic helper so both Prediction Watch and Your Judgment Needed filter resolved predictions through the same code path. Previously only Your Judgment Needed was fixed.
  • 34 zero-insight stubs archived — 19 paste/reddit/pdf ingestion stubs from a half-finished March 2026 session plus 15 sub-floor YouTube clips, with manifest documenting the triage rationale, 3 manual-extraction candidates, and a deferred stub-body ingest guardrail.
  • 8 new principles from targeted compression of the three highest-surprise COMPRESS topics.

Fixes

  • 4af0429347 fix(tensions): consume slow graph to reject paraphrases and boost real tensions
  • b18f6790e7 fix(wake): centralize active-predictions filter across both sections
  • ce3618c94e chore(stubs-260411): archive 34 zero-insight stub + sub-floor sources

Compression

  • ai-development/llm-training (63:1 → 63:4): training-pipeline compounding, RL-discovers-model-native-reasoning, distillation-as-distribution
  • psychology/negotiation (17:0 → 17:3): settlement-space-requires-limited-objectives, lower-defenses-first, leverage-is-manufactured
  • ai-development/ai-capabilities (148:17 → 148:19): quantum-advantage-is-structurally-narrow, wet-lab-bottleneck-is-irreducible

Test coverage

40 new tests (wake: 6, learning: 34). Full suite: 434 total (431 run + 3 env-gated skips).