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- What: 5 NEW claims on late interaction retrieval, programmatic LM pipelines, recursive language models, scale-modularity compounding (bitter free lunch), and inline constraint enforcement. 1 enrichment to GEPA claim with Khattab academic paper results (35x efficiency over RL). Source archive added. - Why: Omar Khattab's research arc (ColBERT → DSPy → GEPA → RLMs) provides empirically grounded insights directly applicable to our retrieval, extraction pipeline, quality gates, and self-improvement architecture. - Connections: challenges agent-native filesystem retrieval, enriches GEPA with academic provenance, extends context window limitation with circumvention mechanism, links to existing self-improvement and knowledge architecture claims. Pentagon-Agent: Theseus <46864dd4-da71-4719-a1b4-68f7c55854d3> |
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