Commit History

docs: final GPU readout in README + model card; add POM relation section
626674a

Matthew Ford commited on

fix: paper_data exporter prefers GPU readout; stamp val_total into GPU evals; stats bundle
c7b5dd7

Matthew Ford commited on

feat: GPU readout figures + stats scripts + val-total macros
1413cec

Matthew Ford commited on

feat: GPU A/B readout β€” per-genre prospective figure + refreshed paper_data macros
54f462a

Matthew Ford commited on

docs: tidy README + TODO β€” accurate quick-start, paper package, green tests, READY gate
ef8cced

Matthew Ford commited on

fix: pre-existing test failures β€” draft_engine None-MW crash + stale gate test
2e41740

Matthew Ford commited on

feat: HF stats-collector job β€” consolidated paper_stats_bundle.json
64a046c

Matthew Ford commited on

feat: paper figures from existing artifacts (ablation bars, POM UMAP, trajectory)
043e29f

Matthew Ford commited on

feat: paper_data.yaml exporter for autopaper (49 data_macros)
bf801fa

Matthew Ford commited on

chore: READY gate state, material_profiles v11_5 refresh, source-population AI review, repair-pairs benchmark
fe0bb36

Matthew Ford commited on

feat: v11.6 repair/enrichment scripts + independent-candidate prep + integrity tests
1bb570d

Matthew Ford commited on

chore: v11.6 + v11.5 + candidate-20260716a artifact reports and manifests
371c1ae

Matthew Ford commited on

feat: low-evidence gating in substitution_v11 + wisemoor description provenance
cc86172

Matthew Ford commited on

docs: triplet expansion 8->20 + GPU A/B run in README and TODO
4947605

Matthew Ford commited on

fix: GPU job install step β€” don't shadow PyPI with torch index-url
9a4131d

Matthew Ford commited on

feat: expand substitution-triplet benchmark 8 -> 20
e6d699c

Matthew Ford commited on

feat: HF GPU two-arm A/B training job
ca7335c

Matthew Ford commited on

docs: mark representation-validation sequence complete in TODO
73fe875

Matthew Ford commited on

chore: two-arm A/B checkpoints + frozen-benchmark readout -> HF
862b5bf

Matthew Ford commited on

feat: preregistered frozen-benchmark evaluator (substitution triplets + prospective)
e6555ec

Matthew Ford commited on

feat: --structural-source flag in eval_v6 for arm-matched evaluation
19ac1ec

Matthew Ford commited on

docs: open design decisions + training-readiness gate in README
e19ba67

Matthew Ford commited on

feat: wire genuine 256-dim OpenPOM into training (--structural-source)
f4f9dd3

Matthew Ford commited on

feat: gate flips READY_FOR_TRAINING (all 5 checks pass)
3d74b10

Matthew Ford commited on

feat: full molequles multi-tag target space (575-dim ablation arm)
b5c68f0

Matthew Ford commited on

feat: curated perfumer tiers for 15 residual CAS (coverage 99.80%)
c558e9f

Matthew Ford commited on

feat: prospective formula benchmark (40 in-silico formulas, blinded labels)
3fb95e8

Matthew Ford commited on

feat: complete representation ablation + discordant substitution triplets
45a164d

Matthew Ford commited on

feat: link molequles material-profiles odor text into training descriptor matrix
a150abf

Matthew Ford commited on

feat: freeze representation validation gate
2ff3288

Matthew Ford commited on

docs: add representation validation todo
5131a8b

Matthew Ford commited on

chore: record genre challenge v2 archive manifest
cfbe2c4

Matthew Ford commited on

release: freeze blinded genre challenge v2
f3ff0be

Matthew Ford commited on

feat: add leakage-resistant genre baseline benchmark
456264c

Matthew Ford commited on

v11.5 verdict + paper fold: substitution = bounded
c020b8e

Matthew Ford commited on

v11.5 powered re-run: effective n=14β†’28, retriever=0/28 [0.000,0.121], physchem=0/28 [0.000,0.121], random=0/28 [0.000,0.121], verdict=underpowered
1de55bd

Matthew Ford commited on

Complete catalog recovery and enrichment
83db774

Matthew Ford commited on

v11.5 paper fold: substitution = bounded
74f4dd4

Matthew Ford commited on

v11.5 training decision: not-warranted, data is the lever
65d34c8

Matthew Ford commited on

v11.5 powered re-run: effective n=28, full=1/28 [0.006,0.177], physchem=0/28 [0.000,0.121], verdict=underpowered
b7f263c

Matthew Ford commited on

v11.5 enrichment: VP/BP 67β†’340, structure 1731β†’1741, eval-pairs newly representable=3, leak-rejected=0, formula/MW-rejected=15
da6651e

Matthew Ford commited on

v11.3 eval harness: remove unused profile lookup import
459c5c3

Matthew Ford commited on

v11.3 paper fold: substitution section = inconclusive, profile-coverage limited
0d242ec

Matthew Ford commited on

v11.3 training scope: not-warranted, independent data coverage is the lever
65f35b2

Matthew Ford commited on

v11.3 verdict: advantage ambiguous at effective n=14, CIs full=[0.076,0.476] physchem=[0.000,0.215]
7403974

Matthew Ford commited on

v11.3 powered retriever: full=3/14 [0.076,0.476], physchem=0/14 [0.000,0.215], random=1/14 [0.013,0.315], n_excluded=27
47a910a

Matthew Ford commited on

v11.3 eval set expanded: n=83 authoritative pairs, shape distribution=41/39/3
dc015a1

Matthew Ford commited on

results(v11): report preregistered retrieval assessment
cc2571f

Matthew Ford commited on

fix(v11): preregister mode-aware retrieval evaluation
848a7a5

Matthew Ford commited on

v11 assessment: retriever top5=0.133, descriptor kept, formula scoped
8553abb

Matthew Ford commited on