v11 retriever descriptors: top5=0.133, descriptor delta=0.033 kept

v11 material profile table: available fields, N=557, deferred enrichments

v11 evaluator: substitution eval set n=30, assessment interface

train v10: substantivity rho=0.535, character macro F1=0.134

pimt v10 add line-drawn training assessment runner

pimt v9 allow hf registry db path

pimt v9 require registry db for gbm reproduction

pimt v9 substantivity gbm train publish path

pimt v8 diagnostics and qa artifacts

pimt v8 substantivity gate and pubchem cache

pimt v8 multiseed robustness results

Precommit PIMT v8 multiseed split seeds

pimt v8 run statistical validation

pimt v8 statistical validation tests

substantivity writeup: result consolidated, noise-floor framed, prior-art positioned

character verdict: discriminative-weak under distributional metric

character distributional metric: cosine/JS over prevalence vectors, mean=0.080

character diagnostic: artifact-fixes — prevalence-by-genre, threshold-sensitivity, retract fake best-grouping

character metric fix: distributional cosine, discriminating granularity=26-class, resume

character 1.000 diagnosis: artifact — superclass sets identical

character grouping diagnostic: 26-class J=0.793, 5-superclass J=1.000, recommend pause labels

phase1 recompute: drop-10 ρ=0.708, prefer-measured ρ=0.663, baseline survived Y, noise floor=0.479

Add Fraterworks ingestion and upload data split support

feat: add WiseMoor v9 provenance dataset

fix: normalize objective targets for pyramid training

chore: record v7 evaluation metrics

feat: harden v7 HF training and eval

feat: prepare v7 HF training and evaluation

docs: record Task A anchor audit

chore: add model audit run artifacts

data: add generated trajectory datasets

data: add literature formula references

feat: add Poucher substantivity targets

feat: expand descriptor target coverage

chore: remove temporary diagnostic scripts

feat: use AI (OpenRouter) to classify GoodScents prose into perfume tiers

chore: ignore large PDFs, temp scripts, and intermediate extraction artifacts

feat: merge Poucher and GoodScents tier labels

feat: fetch GoodScents substantivity data and calibrate thresholds

feat: extract perfumer tier labels from Poucher Vol II odour classification tables

Update HF job script for v6: dataset v8, checkpoint pimt_v6.pt, scalar_stats

v6: ConcentrationAwarePyramidHead + OAV fix + curated descriptors + integration

fix: monkey-patch is_xet_available to force legacy LFS upload in HF job

fix: more aggressive Xet bypass for v5 checkpoint upload

chore: update hf_job.yaml for v5 pyramid

feat: 3-tier scent pyramid objective head + v4 dataset + v5 training job

persist shalimar extracted text and update predict script path

hf_train_job: monkey-patch XetProgressReporter to avoid upload crash

hf_train_job: uninstall hf_xet before upload to avoid Xet progress-reporter crash

hf_train_job: disable Xet to avoid progress-reporter bug on large checkpoint upload