second review round: tempered claims, robust statistics, corrected technical statements
Analyses (figures/stats_llm_epistasis.py, committed + reproducible): condition-clustered bootstrap CIs (functional measures exclude zero: dis_raw [+0.04,+0.69], conf-weighted [+0.02,+0.68]; gradient alignment [-0.59,-0.06]; geometry straddles zero), PAIRED predictor contrasts (not individually significant — stated), leave-one-condition-out held-out prediction (functional replicates, geometry ~0, performance baseline unstable), three outcome references (ordering sensitive to reference — reported, with the mechanism), between/within-axis decomposition (within-conflict identification impossible by design; the compat axis identifies), and seed-level paired reliability (routing/directed beat soup 3/3 seeds incl. one catastrophic soup failure; CI-width fragility claim withdrawn). Renames and corrections: "decisive experiment" -> "controlled predictive test"; "operational epistasis" -> "confidence-weighted functional conflict (proposed proxy)"; "functional by construction" -> "controls a major source of coordinate mismatch / conflict-associated" (module, configs, READMEs, figures); SI proposition's "chord" defined precisely (endpoint-loss interpolation, invariant) vs the path (not invariant) + no-global-optimality caveat (removable = lower bound, residual = upper); snowball count != performance cliff distinction added; claims table gains four rows (grid finding / weighting NOT supported / functional-vs- all-geometry not established / operator choice open); §1 ladder states the prediction rung as a bounded small-model result. paper/response-to-review-2.md: point-by-point, opening with the bookkeeping correction (E13b/c were in the reviewed draft — revised interpretation, not new results). READMEs rewritten around the four analyses with the chronology (prospective/adaptive/post-hoc) disclosed. 151 tests green. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BkRLcc18rwT2Lysu6PbG7v
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# LLM-tier model speciation — conflict provokes isolation; duration alone does not
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E13 carried into language-model weights (0.5B Qwen, LoRA children of one frozen base — which shares
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its coordinate system with both children, so **there is no permutation/rescaling ambiguity by
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construction: every merge failure here is functional**). Two knobs, pre-registered readings in the
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E13 carried into language-model weights (0.5B Qwen, LoRA children of one frozen base — the shared
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base **controls a major source of coordinate mismatch**, allowing a cleaner test of
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conflict-associated merge failure; averaging can still fail for non-conflict reasons — nonlinear
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interaction, scaling, capacity — so failures here are *conflict-associated*, not automatically
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functional). Two knobs, pre-registered readings in the
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configs; figure `llm_speciation.png` (3 panels; panel B from `results/llm_speciation_add/`).
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**Design.** Child A: private family `strings`; child B: private family `arith`; shared **ambiguous
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