Download logbook.json from vbabenko97/repro-instance-level-costs: direct link, hf CLI and curl.
- Browser
- Download file 2.45 kB
-
https://huggingface.co/spaces/vbabenko97/repro-instance-level-costs/resolve/main/logbook.json
- Command line
-
hf download hf://spaces/vbabenko97/repro-instance-level-costs/logbook.json
-
curl -L -o logbook.json https://huggingface.co/spaces/vbabenko97/repro-instance-level-costs/resolve/main/logbook.json
2.45 kB
| { | |
| "schema_version": 1, | |
| "title": "Repro - Instance-Level Costs for Nuanced Classifier Evaluation", | |
| "emoji": "🎯", | |
| "space_id": "vbabenko97/repro-instance-level-costs", | |
| "paper": { | |
| "arxiv_id": "2605.03135", | |
| "openreview_id": "qMI1xD8O3x" | |
| }, | |
| "tags": [ | |
| "icml2026-repro", | |
| "paper-qMI1xD8O3x" | |
| ], | |
| "updated_at": "2026-07-18T18:43:23+00:00", | |
| "root": { | |
| "slug": "index", | |
| "title": "Repro - Instance-Level Costs for Nuanced Classifier Evaluation", | |
| "file": "pages/index.md", | |
| "children": [ | |
| { | |
| "slug": "paper-claims", | |
| "title": "Paper & claims", | |
| "file": "pages/paper-claims/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "feasibility-gates", | |
| "title": "Feasibility gates", | |
| "file": "pages/feasibility-gates/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-1-jigsaw-nec-vs-error-3x-gap", | |
| "title": "Claim 1: Jigsaw NEC vs error (3x gap)", | |
| "file": "pages/claim-1-jigsaw-nec-vs-error-3x-gap/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-2-divergence-across-modalities", | |
| "title": "Claim 2: Divergence across modalities", | |
| "file": "pages/claim-2-divergence-across-modalities/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-3-cost-derivation-sources", | |
| "title": "Claim 3: Cost derivation sources", | |
| "file": "pages/claim-3-cost-derivation-sources/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-4-fine-tuned-results-toy", | |
| "title": "Claim 4: Fine-tuned results (toy)", | |
| "file": "pages/claim-4-fine-tuned-results-toy/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-5-cost-weighted-training-is-inconsistent", | |
| "title": "Claim 5: Cost-weighted training is inconsistent", | |
| "file": "pages/claim-5-cost-weighted-training-is-inconsistent/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-6-delta-regression-calibration-not-accuracy", | |
| "title": "Claim 6: Delta-regression = calibration, not accuracy", | |
| "file": "pages/claim-6-delta-regression-calibration-not-accuracy/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "conclusion", | |
| "title": "Conclusion", | |
| "file": "pages/conclusion/page.md", | |
| "children": [] | |
| } | |
| ] | |
| }, | |
| "agent_view_tokens": 13862, | |
| "revision": "1784400203588636000" | |
| } |