Download logbook.json from SabaPivot/repro-computationally-efficient-graph-modeling-with-refined-graph-random-features: direct link, hf CLI and curl.
- Browser
- Download file 3.73 kB
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https://huggingface.co/spaces/SabaPivot/repro-computationally-efficient-graph-modeling-with-refined-graph-random-features/resolve/main/logbook.json
- Command line
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hf download hf://spaces/SabaPivot/repro-computationally-efficient-graph-modeling-with-refined-graph-random-features/logbook.json
-
curl -L -o logbook.json https://huggingface.co/spaces/SabaPivot/repro-computationally-efficient-graph-modeling-with-refined-graph-random-features/resolve/main/logbook.json
3.73 kB
| { | |
| "schema_version": 2, | |
| "title": "Computationally-efficient Graph Modeling with Refined Graph Random Features", | |
| "emoji": "🎯", | |
| "space_id": "SabaPivot/repro-computationally-efficient-graph-modeling-with-refined-graph-random-features", | |
| "paper": { | |
| "arxiv_id": "2510.07716" | |
| }, | |
| "tags": [ | |
| "arxiv:2510.07716", | |
| "icml2026-repro", | |
| "open-experiment", | |
| "paper-NvJPE1oiKd", | |
| "trackio", | |
| "trackio-logbook" | |
| ], | |
| "updated_at": "2026-08-02T16:31:42.914172+00:00", | |
| "root": { | |
| "slug": "index", | |
| "title": "Computationally-efficient Graph Modeling with Refined Graph Random Features", | |
| "file": "pages/index.md", | |
| "children": [ | |
| { | |
| "slug": "executive-summary", | |
| "title": "Executive summary", | |
| "file": "pages/executive-summary/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-1-walk-stitching-mechanism", | |
| "title": "Claim 1: Walk-stitching mechanism", | |
| "file": "pages/claim-1-walk-stitching-mechanism/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-2-mse-monotonicity", | |
| "title": "Claim 2: MSE monotonicity", | |
| "file": "pages/claim-2-mse-monotonicity/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-3-linear-time-jl-variant", | |
| "title": "Claim 3: Linear-time JL variant", | |
| "file": "pages/claim-3-linear-time-jl-variant/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-4-node-clustering-benchmarks", | |
| "title": "Claim 4: Node clustering benchmarks", | |
| "file": "pages/claim-4-node-clustering-benchmarks/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-5-mesh-normal-prediction", | |
| "title": "Claim 5: Mesh normal prediction", | |
| "file": "pages/claim-5-mesh-normal-prediction/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-6-high-diameter-distant-pairs", | |
| "title": "Claim 6: High-diameter distant pairs", | |
| "file": "pages/claim-6-high-diameter-distant-pairs/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-99-fresh-independent-cpu-audit", | |
| "title": "Fresh independent CPU audit", | |
| "file": "pages/claim-99-fresh-independent-cpu-audit/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "conclusion", | |
| "title": "Conclusion", | |
| "file": "pages/conclusion/page.md", | |
| "children": [] | |
| } | |
| ] | |
| }, | |
| "traces": [], | |
| "workspace": { | |
| "file": "workspace.json", | |
| "file_count": 0, | |
| "total_size": 0, | |
| "bucket_id": null | |
| }, | |
| "agent_view_tokens": 985, | |
| "trace_view_tokens": 44963, | |
| "workspace_view_tokens": 1143, | |
| "revision": "fab6f57bec55cf453e04", | |
| "traces_ref": { | |
| "repo_id": "Srishti280992/repro-computationally-efficient-graph-modeling-with-refined-graph-random-features-traces", | |
| "repo_type": "dataset", | |
| "repo_url": "https://huggingface.co/datasets/Srishti280992/repro-computationally-efficient-graph-modeling-with-refined-graph-random-features-traces", | |
| "private": true | |
| }, | |
| "trace_dataset": "https://huggingface.co/datasets/Srishti280992/repro-computationally-efficient-graph-modeling-with-refined-graph-random-features-traces", | |
| "workspace_ref": { | |
| "repo_id": "Srishti280992/repro-computationally-efficient-graph-modeling-with-refined-graph-random-features-artifacts", | |
| "repo_type": "bucket", | |
| "repo_url": "https://huggingface.co/buckets/Srishti280992/repro-computationally-efficient-graph-modeling-with-refined-graph-random-features-artifacts", | |
| "private": true | |
| }, | |
| "workspace_bucket": "https://huggingface.co/buckets/Srishti280992/repro-computationally-efficient-graph-modeling-with-refined-graph-random-features-artifacts" | |
| } | |