{"as_of":"2026-08-09T14:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cccd1771dced02a253d909d01c8f90a900e19f30a2bdeff868563766a61fcc7a","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":15,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:15:08.006506Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T05:56:39.877955Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.17766","last_updated":"2024-05-28T02:43:53Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T02:43:53Z","title":"SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17766","snapshot_observed_at":"2026-08-06T20:22:16.808758Z","title":"Sleepfm: Multi-modal representation learning for sleep across brain activity, ecg and respiratory signals,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.03165","last_updated":"2025-07-03T20:45:37Z","snapshot_observed_at":"2026-08-09T02:02:46.665058Z","submitted_at":"2025-07-03T20:45:37Z","title":"PiCME: Pipeline for Contrastive Modality Evaluation and Encoding in the MIMIC Dataset","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:22:16.808758Z"},"links":{"cited_paper":"/paper/2405.17766","citing_paper":"/paper/2507.03165"},"observation_digest":"sha256:13eb875f8d0db39f51f1acda4a8a925ba881def97419f161cc61fa6fe0c34dac","observation_id":"6cc03f97-e43e-477a-ab99-71995627217d","resolution":{"observed_at":"2026-08-06T20:22:16.808758Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17766","last_updated":"2024-05-28T02:43:53Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T02:43:53Z","title":"SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17766","snapshot_observed_at":"2026-08-06T21:22:52.953485Z","title":"Sleepfm: Multi-modal representation learning for sleep across brain activity, ecg and respiratory signals,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14146","last_updated":"2025-07-01T03:15:22Z","snapshot_observed_at":"2026-08-06T21:15:41.121915Z","submitted_at":"2025-07-01T03:15:22Z","title":"Estimating Markers of Driving Stress through Multimodal Physiological Monitoring","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T21:22:52.953485Z"},"links":{"cited_paper":"/paper/2405.17766","citing_paper":"/paper/2507.14146"},"observation_digest":"sha256:1ffce390390c9c7622fc341d792cf88607a91410a534b402fd23ce7c335e0913","observation_id":"5d99c15a-443c-4ff1-8e52-0cc165831e4c","resolution":{"observed_at":"2026-08-06T21:22:52.953485Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17766","last_updated":"2024-05-28T02:43:53Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T02:43:53Z","title":"SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17766","snapshot_observed_at":"2026-08-06T20:22:19.408537Z","title":"URL https://arxiv.org/pdf/2405.17766","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.14151","last_updated":"2025-07-03T20:39:30Z","snapshot_observed_at":"2026-08-09T05:36:22.097200Z","submitted_at":"2025-07-03T20:39:30Z","title":"Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T20:22:19.408537Z"},"links":{"cited_paper":"/paper/2405.17766","citing_paper":"/paper/2507.14151"},"observation_digest":"sha256:9f67290fa9e681b7d6cf3f1f96aa86be03192d09b806072e7f9aee074580835d","observation_id":"ba94c0c8-0182-4dcf-80e5-edb26c5082ae","resolution":{"observed_at":"2026-08-06T20:22:19.408537Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17766","last_updated":"2024-05-28T02:43:53Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T02:43:53Z","title":"SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17766","snapshot_observed_at":"2026-08-03T03:35:32.749807Z","title":"R., Moore, H., Ganjoo, G., Mignot, E., and Zou, J","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.07628","last_updated":"2026-06-18T05:56:34Z","snapshot_observed_at":"2026-08-03T03:35:29.561592Z","submitted_at":"2026-02-07T17:17:45Z","title":"SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T03:35:32.749807Z"},"links":{"cited_paper":"/paper/2405.17766","citing_paper":"/paper/2602.07628"},"observation_digest":"sha256:673618ba7be36cf44dd3b6d2491fd734856c683cd02d61a7423c7ec20772faeb","observation_id":"37923bcc-b821-431e-bac9-48b6b92fb27b","resolution":{"observed_at":"2026-08-03T03:35:32.749807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17766","last_updated":"2024-05-28T02:43:53Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T02:43:53Z","title":"SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17766","snapshot_observed_at":"2026-08-02T20:21:01.247650Z","title":"Sleepfm: Multi-modal representation learning for sleep across brain activity, ecg and respiratory signals.arXiv preprint arXiv:2405.17766, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.00190","last_updated":"2026-07-05T13:20:41Z","snapshot_observed_at":"2026-08-08T16:40:37.481622Z","submitted_at":"2026-02-27T02:14:56Z","title":"OSF: On Pre-training and Scaling of Sleep Foundation Models","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:01.247650Z"},"links":{"cited_paper":"/paper/2405.17766","citing_paper":"/paper/2603.00190"},"observation_digest":"sha256:3091f8f0a761fa2db31795eb9ddad2f3b214f04d3cb1819c3d1f9367de6ebb3f","observation_id":"6210ee2e-1610-465e-9071-64f3b2e42483","resolution":{"observed_at":"2026-08-02T20:21:01.247650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17766","last_updated":"2024-05-28T02:43:53Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T02:43:53Z","title":"SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals","version":1},"cited_work":{"arxiv_id":"2405.17766","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.17766","snapshot_observed_at":"2026-07-02T05:56:39.877955Z","title":"Thapa, B","venue":null,"work_id":"ab1e9448-cbb6-449a-a48a-72abd17f9f28","year":2024},"citing_paper":{"arxiv_id":"2604.02711","last_updated":"2026-04-08T23:13:03Z","snapshot_observed_at":"2026-08-04T09:42:48.573822Z","submitted_at":"2026-04-03T04:09:47Z","title":"Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook","version":2},"reference_index":138,"source":"pdf_text","source_observed_at":"2026-05-13T18:48:40.813486Z"},"links":{"cited_paper":"/paper/2405.17766","citing_paper":"/paper/2604.02711"},"observation_digest":"sha256:c21ec39a69dfde4264017870047b877a11cbfb7f1e3068d7c47f47bde458bd73","observation_id":"fa83de50-95b2-45c9-a794-bf45b970c4c2","resolution":{"observed_at":"2026-05-13T18:53:08.524482Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17766","last_updated":"2024-05-28T02:43:53Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T02:43:53Z","title":"SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals","version":1},"cited_work":{"arxiv_id":"2405.17766","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.17766","snapshot_observed_at":"2026-07-02T05:56:39.877955Z","title":"Thapa, B","venue":null,"work_id":"ab1e9448-cbb6-449a-a48a-72abd17f9f28","year":2024},"citing_paper":{"arxiv_id":"2604.10172","last_updated":"2026-04-11T11:41:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-11T11:41:11Z","title":"Wearable AI in the Era of Large Sensor Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-10T16:35:36.541995Z"},"links":{"cited_paper":"/paper/2405.17766","citing_paper":"/paper/2604.10172"},"observation_digest":"sha256:2d42c88d7cf65fb3854c0f91307a4ca2de393297152839e6e61282fc9979f16f","observation_id":"90789f78-2e83-45f1-80bc-70f5ba9c4243","resolution":{"observed_at":"2026-05-11T08:30:58.101963Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17766","last_updated":"2024-05-28T02:43:53Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T02:43:53Z","title":"SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals","version":1},"cited_work":{"arxiv_id":"2405.17766","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.17766","snapshot_observed_at":"2026-07-02T05:56:39.877955Z","title":"Thapa, B","venue":null,"work_id":"ab1e9448-cbb6-449a-a48a-72abd17f9f28","year":2024},"citing_paper":{"arxiv_id":"2604.18827","last_updated":"2026-04-20T20:46:46Z","snapshot_observed_at":"2026-07-06T23:05:35.374092Z","submitted_at":"2026-04-20T20:46:46Z","title":"OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-05-10T02:43:25.842048Z"},"links":{"cited_paper":"/paper/2405.17766","citing_paper":"/paper/2604.18827"},"observation_digest":"sha256:845acaac1b57ed820a7cf4b30833ec17659257e16f6d39f980d25fadbb2f33d8","observation_id":"3cd4d327-a528-4d2b-b3ee-000bff4a9b3a","resolution":{"observed_at":"2026-05-11T12:51:04.642284Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17766","last_updated":"2024-05-28T02:43:53Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T02:43:53Z","title":"SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals","version":1},"cited_work":{"arxiv_id":"2405.17766","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.17766","snapshot_observed_at":"2026-07-02T05:56:39.877955Z","title":"Thapa, B","venue":null,"work_id":"ab1e9448-cbb6-449a-a48a-72abd17f9f28","year":2024},"citing_paper":{"arxiv_id":"2605.00973","last_updated":"2026-05-01T17:04:15Z","snapshot_observed_at":"2026-08-02T05:43:24.064777Z","submitted_at":"2026-05-01T17:04:15Z","title":"Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-09T20:06:15.659662Z"},"links":{"cited_paper":"/paper/2405.17766","citing_paper":"/paper/2605.00973"},"observation_digest":"sha256:8846b26bac6dd7696db25fa4728f036ddc437605ac6f5eb90d11bcbe7a9a5833","observation_id":"63373dd7-dce6-4515-b5ac-bd26ddb45659","resolution":{"observed_at":"2026-05-11T15:26:05.975451Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17766","last_updated":"2024-05-28T02:43:53Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T02:43:53Z","title":"SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals","version":1},"cited_work":{"arxiv_id":"2405.17766","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.17766","snapshot_observed_at":"2026-07-02T05:56:39.877955Z","title":"Thapa, B","venue":null,"work_id":"ab1e9448-cbb6-449a-a48a-72abd17f9f28","year":2024},"citing_paper":{"arxiv_id":"2605.02917","last_updated":"2026-04-09T10:44:27Z","snapshot_observed_at":"2026-08-06T12:41:20.985285Z","submitted_at":"2026-04-09T10:44:27Z","title":"PRISM-CTG: A Foundation Model for Cardiotocography Analysis with Multi-View SSL","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-10T17:20:00.793919Z"},"links":{"cited_paper":"/paper/2405.17766","citing_paper":"/paper/2605.02917"},"observation_digest":"sha256:623579b6d9fde0f9d951361f62fa154305d3185e2d74ae5d8a853c631282d330","observation_id":"52e54791-f72c-4461-9b76-720ff66aa1f4","resolution":{"observed_at":"2026-05-11T07:01:09.220378Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17766","last_updated":"2024-05-28T02:43:53Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T02:43:53Z","title":"SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals","version":1},"cited_work":{"arxiv_id":"2405.17766","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.17766","snapshot_observed_at":"2026-07-02T05:56:39.877955Z","title":"Thapa, B","venue":null,"work_id":"ab1e9448-cbb6-449a-a48a-72abd17f9f28","year":2024},"citing_paper":{"arxiv_id":"2605.14698","last_updated":"2026-05-14T11:13:41Z","snapshot_observed_at":"2026-07-06T23:26:04.286377Z","submitted_at":"2026-05-14T11:13:41Z","title":"NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-06-30T21:09:51.002853Z"},"links":{"cited_paper":"/paper/2405.17766","citing_paper":"/paper/2605.14698"},"observation_digest":"sha256:48b879f0416af16028a487315fc3e02870653d28490d445580e86d46410b8b79","observation_id":"afc0fcf2-4936-415a-bd29-44cdf91289af","resolution":{"observed_at":"2026-06-30T21:15:04.409378Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17766","last_updated":"2024-05-28T02:43:53Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T02:43:53Z","title":"SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals","version":1},"cited_work":{"arxiv_id":"2405.17766","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.17766","snapshot_observed_at":"2026-07-02T05:56:39.877955Z","title":"Thapa, B","venue":null,"work_id":"ab1e9448-cbb6-449a-a48a-72abd17f9f28","year":2024},"citing_paper":{"arxiv_id":"2607.00387","last_updated":"2026-07-01T03:32:08Z","snapshot_observed_at":"2026-08-01T10:46:33.437238Z","submitted_at":"2026-07-01T03:32:08Z","title":"From Objectives to Applications: Aligning Architectural Biases in Audio Self-Supervised Learning","version":1},"reference_index":103,"source":"pdf_text","source_observed_at":"2026-07-02T05:52:55.818877Z"},"links":{"cited_paper":"/paper/2405.17766","citing_paper":"/paper/2607.00387"},"observation_digest":"sha256:7b20cc6ff0e5a9a53bfaa2ab4fe67a83a71af7a1b084ccff072db36762790ffb","observation_id":"e3430a98-dee2-4290-8803-0cbc1896e17f","resolution":{"observed_at":"2026-07-02T05:56:39.879662Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17766","last_updated":"2024-05-28T02:43:53Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T02:43:53Z","title":"SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17766","snapshot_observed_at":"2026-08-01T03:18:38.415062Z","title":"SleepFM: multi-modal representation learning for sleep across brain activity, ECG and respiratory signals.arXiv preprint arXiv:2405.17766, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25175","last_updated":"2026-07-29T05:10:06Z","snapshot_observed_at":"2026-08-06T15:25:37.155291Z","submitted_at":"2026-07-28T00:59:08Z","title":"Agentic AI-enabled discovery across large-scale sleep physiology","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T03:18:38.415062Z"},"links":{"cited_paper":"/paper/2405.17766","citing_paper":"/paper/2607.25175"},"observation_digest":"sha256:be58c5fbc95ba86f722bcc751bdb128f00b5850e5617847699f511544fe007e5","observation_id":"9fb617d4-2faa-49b6-bf79-423dc1a8dbbc","resolution":{"observed_at":"2026-08-01T03:18:38.415062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17766","last_updated":"2024-05-28T02:43:53Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T02:43:53Z","title":"SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17766","snapshot_observed_at":"2026-08-04T15:56:07.172753Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02070","last_updated":"2026-08-05T06:01:26Z","snapshot_observed_at":"2026-08-08T23:10:44.384467Z","submitted_at":"2026-08-03T11:15:22Z","title":"STEAM: A Spatio-TEmporal Alignment Mixture-of-Experts Model with Hierarchical Pre-training for EEG Decoding","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-04T15:56:07.172753Z"},"links":{"cited_paper":"/paper/2405.17766","citing_paper":"/paper/2608.02070"},"observation_digest":"sha256:b48e2b58ba525a50ab880421f7d129728cca4de52c752091fbb2e3a879abd49f","observation_id":"89f8c231-8fdf-47ad-994b-352a7c2cdd01","resolution":{"observed_at":"2026-08-04T15:56:07.172753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17766","last_updated":"2024-05-28T02:43:53Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T02:43:53Z","title":"SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17766","snapshot_observed_at":"2026-08-07T00:15:08.006506Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02070","last_updated":"2026-08-05T06:01:26Z","snapshot_observed_at":"2026-08-08T23:10:44.384467Z","submitted_at":"2026-08-03T11:15:22Z","title":"STEAM: A Spatio-TEmporal Alignment Mixture-of-Experts Model with Hierarchical Pre-training for EEG Decoding","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T00:15:08.006506Z"},"links":{"cited_paper":"/paper/2405.17766","citing_paper":"/paper/2608.02070"},"observation_digest":"sha256:0d481e44a99c12bbda5266ce8a6909778bbc24c2deb781f31ecf03df28e3a0a7","observation_id":"5f48aefc-82e5-461d-9186-5e76f7570d46","resolution":{"observed_at":"2026-08-07T00:15:08.006506Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2405.17766/citation-record","integrity":"/paper/2405.17766/integrity","json":"/paper/2405.17766/citation-record.json","paper":"/paper/2405.17766"},"outbound":[],"paper":{"arxiv_id":"2405.17766","last_updated":"2024-05-28T02:43:53Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T02:43:53Z","title":"SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2405.17766."}