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62 lines
3.5 KiB
YAML
62 lines
3.5 KiB
YAML
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# Experiment exp-005 (learned-decision-engine design section 6): in-function graph slice.
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# Register before any paid fill or scoring; register pins the manifest and frozen units by sha256.
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# A changed question is a new experiment. The six slice-2 incumbents are unchanged in A;
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# exp-004's cache fill covered their prompts on this exact frozen population and memory.
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# B changes only ProgramSpec.slice: same inputs profile, retrieval, k, temperatures, and examples.
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# Slices are computed from the same numbered excerpt for candidates and all examples/demonstrations.
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#
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# Leak audit: benchmarks/measurements/2026-10-03-graph-slice-leak-audit/record.json.
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# Of 501 units, 220 have a slice (59 flow, 161 no-flow); 281 receive the fixed not-analysed sentence.
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# The audit found no leak. This is coverage, not evidence that the prompt improves ranking.
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# The units file is a byte-for-byte copy of exp-004-pooled-block-gate.units.jsonl; do not regenerate it.
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#
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# Primary: within-pair AUC, vulnerable vs fixed side (ties 0.5), complete pairs only;
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# paired B-A percentile 95% CI, resampling repository groups with replacement, both arms together.
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# Secondary: pooled top-30 precision across all families/units (raw score descending, unit ID breaks ties;
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# undefined below 30 scored units), unsure rate, and recorded response USD per candidate (including A's replay).
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# One final look. ADOPT B iff the primary CI is wholly positive AND mean cost/candidate <= 1.5x A;
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# REJECT iff the primary CI is wholly negative; otherwise INCONCLUSIVE, including unavailable cost.
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# Fill B under a $6.00 hard ceiling, then run --replay-only: scoring spends nothing further.
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# An incomplete fill must not be treated as a complete experiment; any resumption uses only the remaining budget.
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id: exp-005-graph-slice
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hypothesis: >
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Adding the in-function def-use slice to the prompt improves within-pair ranking of the six slice-2
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incumbent programs on held-out repositories, at no more than 1.5 times the cost per candidate.
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kind: program
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programs: # the slice-2 incumbents, as exp-003
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access_control: 745cb1d76bbb09dc1574d333d2118489be62e39886517894d3699fa565b0e8c2
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deserialization: 3c0c2831be7d78198a62351661c37867363c501cb40e3ed7b0119c155af09654
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injection: b207a0710e0abf053b3b9397b25f9ee1cab4679144865e3a82c1b9be2c7b4982
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output_encoding: 5d768f16724562c381c09949ff3df9cbb11d58cbb7a9c0515d0dc3f858d3818e
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path: aea396680a4874dcb6de70e240ca0480c83424debdd3710bc3f1ea6a612661f3
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untrusted_destination: 1242b3973fc89056aa08e00843043d68235df217d8e3ef8a0ea0e0b81c142753
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arms:
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A:
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label: six slice-2 incumbents unchanged, replaying exp-004's response cache
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spec: {}
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replay_only: true
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repeats: 1
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budget_usd: 0.0
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B:
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label: the same six programs with the in-function slice added to their prompts
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spec: {slice: true}
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replay_only: false
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repeats: 1
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budget_usd: 6.0
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unit: candidate
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pairing: paired
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cluster: repository
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order: {randomise: per_case, seed: 5}
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populations: {primary: paired, secondary: [pooled]}
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metric:
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primary: [within_pair_auc]
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secondary: [top_30_precision, unsure_rate, usd_per_candidate]
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decision: {arm: B, max_cost_ratio: 1.5}
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test: {primary: cluster_bootstrap_paired_diff, alpha: 0.05, sides: 2, resamples: 10000}
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mde: 0.0
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stopping: {looks: [1.0], boundaries: [1.959964]}
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budget_usd: {total: 6.0, per_arm: {A: 0.0, B: 6.0}}
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families: [access_control, deserialization, injection, output_encoding, path, untrusted_destination]
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folds: {kind: outer, k: 5, seed: 0, compile_fraction: 0.25}
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units_file: plane/experiments/exp-005-graph-slice.units.jsonl
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