{ "schema_version": 2, "title": "Reproduction: OSF: On Pre-training and Scaling of Sleep Foundation Models", "emoji": "🎯", "space_id": "Yashp2003/repro-osf-on-pre-training-and-scaling-of-sleep-foundation-models", "paper": { "arxiv_id": "2603.00190" }, "tags": [ "icml2026-repro", "paper-rlVGCyjqnt" ], "updated_at": "2026-07-22T15:29:11+00:00", "root": { "slug": "index", "title": "Reproduction: OSF: On Pre-training and Scaling of Sleep Foundation Models", "file": "pages/index.md", "children": [ { "slug": "executive-summary", "title": "Executive summary", "file": "pages/executive-summary/page.md", "children": [] }, { "slug": "claim-1-sleepbench-dataset-scale-166-500-hours-across-9-nsrr-sources-and-21-000-studies", "title": "Claim 1: SleepBench dataset scale: 166,500 hours across 9 NSRR sources and 21,000+ studies", "file": "pages/claim-1-sleepbench-dataset-scale-166-500-hours-across-9-nsrr-sources-and-21-000-studies/page.md", "children": [] }, { "slug": "claim-2-mros-auc-osf-97-3-staging-92-8-arousal-vs-sleepfm-96-4-90-3-and-vit-96-9-88-4-table-2", "title": "Claim 2: MROS AUC: OSF 97.3 staging / 92.8 arousal vs SleepFM 96.4/90.3 and ViT 96.9/88.4 (Table 2)", "file": "pages/claim-2-mros-auc-osf-97-3-staging-92-8-arousal-vs-sleepfm-96-4-90-3-and-vit-96-9-88-4-table-2/page.md", "children": [] }, { "slug": "claim-3-ablation-time-channel-masking-94-8-to-96-7-table-1", "title": "Claim 3: Ablation: time+channel masking 94.8 to 96.7 (Table 1)", "file": "pages/claim-3-ablation-time-channel-masking-94-8-to-96-7-table-1/page.md", "children": [] }, { "slug": "claim-4-missing-channel-generalization-osf-vs-sleepfm-across-4-scenarios-table-6", "title": "Claim 4: Missing-channel generalization: OSF vs SleepFM across 4 scenarios (Table 6)", "file": "pages/claim-4-missing-channel-generalization-osf-vs-sleepfm-across-4-scenarios-table-6/page.md", "children": [] }, { "slug": "claim-5-scaling-with-data-fraction-1-100-and-encoder-capacity-1m-85m", "title": "Claim 5: Scaling with data fraction (1-100%) and encoder capacity (1M-85M)", "file": "pages/claim-5-scaling-with-data-fraction-1-100-and-encoder-capacity-1m-85m/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": 6207, "trace_view_tokens": 592, "workspace_view_tokens": 8, "revision": "4260c56dcaae3c96e852", "traces_ref": { "repo_id": "Yashp2003/repro-osf-on-pre-training-and-scaling-of-sleep-foundation-models-traces", "repo_type": "dataset", "repo_url": "https://huggingface.co/datasets/Yashp2003/repro-osf-on-pre-training-and-scaling-of-sleep-foundation-models-traces", "private": true }, "trace_dataset": "https://huggingface.co/datasets/Yashp2003/repro-osf-on-pre-training-and-scaling-of-sleep-foundation-models-traces", "workspace_ref": { "repo_id": "Yashp2003/repro-osf-on-pre-training-and-scaling-of-sleep-foundation-models-artifacts", "repo_type": "bucket", "repo_url": "https://huggingface.co/buckets/Yashp2003/repro-osf-on-pre-training-and-scaling-of-sleep-foundation-models-artifacts", "private": true }, "workspace_bucket": "https://huggingface.co/buckets/Yashp2003/repro-osf-on-pre-training-and-scaling-of-sleep-foundation-models-artifacts" }