Finishes the Layer 1 analytical core. All six experiments run with honest, publication-quality figures; 71 tests green. - E3 region-matched grounding: `grounding.exercised` knob + per-region tail survival. Matched holds the exercised region's tail (0.49) where uniform spreads thin and lets it collapse (0.07). - E4 multi-teacher recombination: `run_coverage` runner. Union coverage matches U(K_T,rho,q) exactly. Finding: mean-mixture distillation shows NO surviving benefit (a conservation law — 1/K_T dilution cancels the union gain); a union-preserving max-merge (M2N2-style) does. E4 reports both operators. - E5 QD vs greedy: greedy drives fixation (H~0.01); QD holds H at 0.48-0.88, rising with the novelty exponent. - E6 re-mint gate: `arm` multi-override sweep. Re-minting a collapsed lineage locks in divergence of KL-to-original; gating on diversity prevents it. - E2 analysis add-ons (from the companion work order, numbers verified): new analysis.py (reduce_to_stationary, critical_grounding with bootstrap CI -> g*=0.048, 95% CI [0.047,0.050]); tail_band_metrics + per-band logging; the E2 figure rebuilt as a 2x2 (defined g*+CI, g=0 flagged as a finite-time artifact, tail item-vs-mass, per-rarity-band panel). Uses truth-mass-weighted tail coverage rather than the raw (martingale) tail_mass. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
34 lines
1 KiB
YAML
34 lines
1 KiB
YAML
experiment: E4_multiteacher_decorrelation
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kind: coverage
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seed: 20260704
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n_replicates: 200
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# Multi-teacher recombination (blueprint 2.5-E4 / 2.7.1). Build K_T teachers with exact
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# marginal retention q and pairwise retention-correlation rho, form the pupil from their
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# mixture (n draws total = matched budget), and report TWO coverages:
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# union_coverage -> construction-level U(K_T,rho,q) (must match the closed form)
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# surviving_coverage-> tail items that survive the pupil's size-n resampling (+ grounding)
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# Expect: both rise with K_T and (1-rho); at rho=1 many teachers give no benefit over one;
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# the union-surviving gap shrinks as grounding g rises.
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truth:
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K: 500
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R: 1
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tail: zipf
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zipf_s: 1.1
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tail_frac: 0.5
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tail_threshold: 2.0e-3
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coverage:
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n: 300 # pupil sample size (matched budget across teachers)
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q: 0.5 # per-teacher marginal tail retention
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sweep:
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- param: K_T
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values: [1, 2, 3, 5]
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- param: rho
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values: [0.0, 0.25, 0.5, 0.75, 1.0]
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- param: g
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values: [0.0, 0.02, 0.05]
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output:
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dir: results/E4
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