Giorgio Gilestro
ab3dc10587
- paper/pnas -> paper/manuscript (venue-neutral)
- configs/layer1 -> configs/inheritance, src/knowledge -> src/inheritance
(imported as `inheritance`), make layer1 -> make inheritance; layer2 alias dropped
- inheritance and trained-network bundles named after the manuscript figure
they feed (fig2_grounding_sweep, figS3_rebaselining, ...), or descriptively
where they feed none; configs keep their `experiment:` value so parquet
hashes are unchanged, only output.dir moves
- figure scripts, SI figure sources, notebooks, REPRODUCING.md, README and the
SI Methods/tables updated; make clean no longer deletes tracked manifests;
reproduce.sh hashes the s{seed}/ layouts too
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Y64o8FKP7rCuXzC48pxpMm
40 lines
1.3 KiB
YAML
40 lines
1.3 KiB
YAML
experiment: E3_region_matched_grounding
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seed: 20260704
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n_replicates: 100
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generations: 400
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# Region-matched grounding (blueprint 2.5-E3). Fixed total budget m; the lineage this
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# passage exercises region 0 (the target, carrying its own rare tail). Compare:
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# uniform -> spread m evenly over all R regions (region 0 gets only m/R)
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# matched -> allocate m to the exercised region(s) only (region 0 gets all of m)
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# Prediction: under uniform, region 0's tail collapses even though global grounding is
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# nonzero; under matched, it persists. Metric: per-region tail-item survival.
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truth:
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K: 1000
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R: 10 # 100 items/region; each region an identical Zipf block
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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: 1.0e-3
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init: truth
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dynamics:
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n: 200
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teachers: {K_T: 1, rho: 0.0, q: 1.0}
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grounding:
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m: 100 # same total for both arms; uniform => 10/region, matched => 100 to region 0
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policy: uniform # overwritten by the sweep
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exercised: [0] # region 0 is exercised this passage (matched targets it)
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selection: {mode: none, novelty_alpha: 0.0}
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remint: {enabled: false, period: null, H_gate: null}
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metrics:
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kl_floor: 1.0e-9
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support_eps: 1.0e-9
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sweep:
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- param: dynamics.grounding.policy
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values: [uniform, matched]
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output:
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dir: results/figS5_aimed_grounding
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