github-featured / yvgude--lean-ctx

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  • v2.15.0 d849024cf3
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    release: v2.15.0 — Scientific Compression Evolution
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    frostbyte_neo 发布于 2026-04-03 06:04:30 +00:00

    Six algorithms from information theory, graph theory, and statistical
    mechanics now power lean-ctx compression pipeline:

    • Predictive Surprise Scoring (BPE cross-entropy filtering)
    • Spectral Relevance Propagation (heat diffusion + PageRank)
    • Boltzmann Context Allocation (statistical mechanics token budgets)
    • Semantic Chunking with Attention Bridges (LITM countermeasure)
    • MMR Deduplication (Maximum Marginal Relevance)
    • BPE-Aligned Token Optimization (final-pass token reduction)

    Also: auto-build graph index, Fish shell doctor check, Codex hook
    refresh on update. 85.7% session-wide savings, 12/12 scientific
    verification checks passed.

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