{"as_of":"2026-08-13T21:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:588582ae2c49a4ac99c594d960159a663b622cc2f26e85de1045814223c28e8d","coverage":[{"denominator":78,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":78,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:29:47.896919Z","state":"measured"},{"denominator":87,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":87,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T01:05:43.224595Z","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":"2026-07-04T00:29:15.742992Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"cited_work":{"arxiv_id":"2506.05321","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.05321","snapshot_observed_at":"2026-07-04T00:29:15.742992Z","title":"Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A","venue":null,"work_id":"acbf498f-5e7d-4ec6-9c2d-514e619f6d0c","year":2025},"citing_paper":{"arxiv_id":"2604.08971","last_updated":"2026-04-10T05:26:17Z","snapshot_observed_at":"2026-08-11T07:59:08.302374Z","submitted_at":"2026-04-10T05:26:17Z","title":"Modality-Aware Zero-Shot Pruning and Sparse Attention for Efficient Multimodal Edge Inference","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-10T18:07:06.789489Z"},"links":{"cited_paper":"/paper/2506.05321","citing_paper":"/paper/2604.08971"},"observation_digest":"sha256:f1fbe6c86ee7c4e6512a56ee3e7d5234ff53e8f762a4fea7c3feb8185752d72b","observation_id":"a782aece-f8cb-4b0f-aaa3-3b3efb0addcb","resolution":{"observed_at":"2026-05-11T05:30:56.939458Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"cited_work":{"arxiv_id":"2506.05321","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.05321","snapshot_observed_at":"2026-07-04T00:29:15.742992Z","title":"Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A","venue":null,"work_id":"acbf498f-5e7d-4ec6-9c2d-514e619f6d0c","year":2025},"citing_paper":{"arxiv_id":"2605.00973","last_updated":"2026-05-01T17:04:15Z","snapshot_observed_at":"2026-08-12T19:47:28.266094Z","submitted_at":"2026-05-01T17:04:15Z","title":"Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-09T20:06:15.659662Z"},"links":{"cited_paper":"/paper/2506.05321","citing_paper":"/paper/2605.00973"},"observation_digest":"sha256:0974bf0b71b2fdee026c5d348a67f074cca4a99dc2a72f3e1b785f444a45e06f","observation_id":"cd603880-4849-4268-8d0c-72abc4076419","resolution":{"observed_at":"2026-05-11T15:26:06.084064Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"cited_work":{"arxiv_id":"2506.05321","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.05321","snapshot_observed_at":"2026-07-04T00:29:15.742992Z","title":"Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A","venue":null,"work_id":"acbf498f-5e7d-4ec6-9c2d-514e619f6d0c","year":2025},"citing_paper":{"arxiv_id":"2605.09173","last_updated":"2026-05-09T21:22:02Z","snapshot_observed_at":"2026-07-06T23:21:16.454273Z","submitted_at":"2026-05-09T21:22:02Z","title":"WavesFM: Hierarchical Representation Learning for Longitudinal Wearable Sensor Waveforms","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-12T04:06:00.710348Z"},"links":{"cited_paper":"/paper/2506.05321","citing_paper":"/paper/2605.09173"},"observation_digest":"sha256:c3c8e7c75f5306ab12f89e456a08925570d6183324da034ffca3112b3af738bc","observation_id":"86846271-4be1-40da-a9df-c154c279e293","resolution":{"observed_at":"2026-05-12T06:36:28.072139Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"cited_work":{"arxiv_id":"2506.05321","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.05321","snapshot_observed_at":"2026-07-04T00:29:15.742992Z","title":"Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A","venue":null,"work_id":"acbf498f-5e7d-4ec6-9c2d-514e619f6d0c","year":2025},"citing_paper":{"arxiv_id":"2605.18837","last_updated":"2026-05-13T03:11:39Z","snapshot_observed_at":"2026-08-02T16:26:06.000092Z","submitted_at":"2026-05-13T03:11:39Z","title":"VCR: Learning Valid Contextual Representation for Incomplete Wearable Signals","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-20T22:13:27.431857Z"},"links":{"cited_paper":"/paper/2506.05321","citing_paper":"/paper/2605.18837"},"observation_digest":"sha256:c788b625dece9b69b9719b25d2d243e6f6954a0ecd89078440a3159afd0935f0","observation_id":"19e5183b-da32-48b2-8ec4-25f1a317ae3e","resolution":{"observed_at":"2026-05-20T22:13:46.683783Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"cited_work":{"arxiv_id":"2506.05321","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.05321","snapshot_observed_at":"2026-07-04T00:29:15.742992Z","title":"Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A","venue":null,"work_id":"acbf498f-5e7d-4ec6-9c2d-514e619f6d0c","year":2025},"citing_paper":{"arxiv_id":"2605.30865","last_updated":"2026-05-29T05:46:35Z","snapshot_observed_at":"2026-07-06T23:40:07.833692Z","submitted_at":"2026-05-29T05:46:35Z","title":"GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-06-28T23:23:38.624741Z"},"links":{"cited_paper":"/paper/2506.05321","citing_paper":"/paper/2605.30865"},"observation_digest":"sha256:05531a835e0df1f072bb29aaea4c486dd5cf648f1819d44c1dffdf91ff0c2d45","observation_id":"a1400c32-a744-481b-894c-0dd565b32929","resolution":{"observed_at":"2026-06-29T00:02:50.259473Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"cited_work":{"arxiv_id":"2506.05321","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.05321","snapshot_observed_at":"2026-07-04T00:29:15.742992Z","title":"Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A","venue":null,"work_id":"acbf498f-5e7d-4ec6-9c2d-514e619f6d0c","year":2025},"citing_paper":{"arxiv_id":"2606.18147","last_updated":"2026-06-16T16:45:56Z","snapshot_observed_at":"2026-08-03T00:46:36.791384Z","submitted_at":"2026-06-16T16:45:56Z","title":"WEQA: Wearable hEalth Question Answering with Query-Adaptive Agentic Reasoning","version":1},"reference_index":197,"source":"arxiv_source","source_observed_at":"2026-06-27T00:53:11.223341Z"},"links":{"cited_paper":"/paper/2506.05321","citing_paper":"/paper/2606.18147"},"observation_digest":"sha256:a6350b83a90fcf5a89635b3e41c03cd6aa1ee44f64b12a8b3e8563b5268969a4","observation_id":"c0824cef-33ab-4b6e-b586-8c8612873775","resolution":{"observed_at":"2026-07-03T21:08:58.472264Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"cited_work":{"arxiv_id":"2506.05321","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.05321","snapshot_observed_at":"2026-07-04T00:29:15.742992Z","title":"Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A","venue":null,"work_id":"acbf498f-5e7d-4ec6-9c2d-514e619f6d0c","year":2025},"citing_paper":{"arxiv_id":"2606.18628","last_updated":"2026-06-17T02:55:03Z","snapshot_observed_at":"2026-08-13T06:26:51.863582Z","submitted_at":"2026-06-17T02:55:03Z","title":"Self-Supervised Mask-Aware Transformers for Fault-Tolerant FBG Force Sensing in Minimally Invasive Surgical Robotics","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-26T21:12:40.206370Z"},"links":{"cited_paper":"/paper/2506.05321","citing_paper":"/paper/2606.18628"},"observation_digest":"sha256:87a8ac8a9ce85774671a1c44e70c72f784eab4fe03a1402a928561f148b1bfb3","observation_id":"6fc6f45a-369e-4570-917c-c01013600178","resolution":{"observed_at":"2026-07-04T00:29:15.746128Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.05321","snapshot_observed_at":"2026-08-02T10:05:16.274932Z","title":"arXiv preprint arXiv:2506.05321 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.16235","last_updated":"2026-08-08T18:21:20Z","snapshot_observed_at":"2026-08-13T20:12:23.472066Z","submitted_at":"2026-06-25T18:59:23Z","title":"OpenMHC: Accelerating the Science of Wearable Foundation Models","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-02T10:05:16.274932Z"},"links":{"cited_paper":"/paper/2506.05321","citing_paper":"/paper/2607.16235"},"observation_digest":"sha256:f6c8e86b9fd20470fefa77df93b98521f8eac9043bbc5c9b56b915474a32ad39","observation_id":"2da5746d-3fff-44bd-9ff4-e0f10cdb889c","resolution":{"observed_at":"2026-08-02T10:05:16.274932Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.05321","snapshot_observed_at":"2026-08-04T01:05:43.224595Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00200","last_updated":"2026-07-31T18:26:17Z","snapshot_observed_at":"2026-08-08T04:52:37.867380Z","submitted_at":"2026-07-31T18:26:17Z","title":"TRACE-TS: Attribution-Grounded and Traceable Sensor-Language Reasoning for Human Activity Understanding","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-04T01:05:43.224595Z"},"links":{"cited_paper":"/paper/2506.05321","citing_paper":"/paper/2608.00200"},"observation_digest":"sha256:953b34e7b50d55e58f8ff778f3e62ec207ea1993c8a0e44d76e8cd9d1dc8fe6c","observation_id":"2fd6bc59-e815-443e-8c8f-450bbc6d7cc8","resolution":{"observed_at":"2026-08-04T01:05:43.224595Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.05321/citation-record","integrity":"/paper/2506.05321/integrity","json":"/paper/2506.05321/citation-record.json","paper":"/paper/2506.05321"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.05409","last_updated":"2024-03-06T18:18:15Z","snapshot_observed_at":"2026-08-13T05:06:54.831535Z","submitted_at":"2023-12-08T23:44:34Z","title":"Large-scale Training of Foundation Models for Wearable Biosignals","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.05409","snapshot_observed_at":"2026-08-07T10:29:47.518335Z","title":"Abbaspourazad, O","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.518335Z"},"links":{"cited_paper":"/paper/2312.05409","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:8f645b2387892a38a0a722ed01fc649edb6dcdbfcd05da19cc40b038721b25da","observation_id":"4cbd269c-cec1-483a-b239-1a6778f4abd7","resolution":{"observed_at":"2026-08-07T10:29:47.518335Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:13.977837Z","title":"Abd-Alrazaq, R","venue":null,"work_id":"ad07de36-3fb5-4fde-89e6-32c40cc1b7da","year":2023},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.523582Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:d5a4d1cdcdf137aeadd008fb7f61637ac5a37a6083a619e57c941bac84f0520a","observation_id":"e4a0c3b3-dc15-44d9-b67c-ceddcb597d82","resolution":{"observed_at":"2026-08-07T10:30:13.982683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:13.961318Z","title":"Afdala, N","venue":null,"work_id":"ec6b89c0-e30c-4506-ae2f-505ceea0f4f4","year":2017},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.528381Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:c1192acffd1f8a1dd02a16fde30b1bc89a0b0d2207e67d3972fbba78f2dcf718","observation_id":"38d3d39d-5e19-491c-887f-a6beba28bcb6","resolution":{"observed_at":"2026-08-07T10:30:13.966852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:13.942983Z","title":"Amiri and R","venue":null,"work_id":"24f19ded-f56b-4cc0-a708-3a6173e71236","year":2016},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.533409Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:8a0d44efc9ea13314cf266cca300f5c4f0e83818e56ca148e5aa930ee37a3a8a","observation_id":"91721e3b-ec0d-4c2e-becb-adeafad94001","resolution":{"observed_at":"2026-08-07T10:30:13.948840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07815","last_updated":"2024-11-04T17:42:45Z","snapshot_observed_at":"2026-07-06T17:43:27.034067Z","submitted_at":"2024-03-12T16:53:54Z","title":"Chronos: Learning the Language of Time Series","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07815","snapshot_observed_at":"2026-08-07T10:29:47.538176Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.538176Z"},"links":{"cited_paper":"/paper/2403.07815","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:a68d6fb121d85e0ec4df0b3581e40c9e13e6af7ed947c4f754e2e0ddc6fc2672","observation_id":"346205fa-cbdc-43b6-a379-ed687e229746","resolution":{"observed_at":"2026-08-07T10:29:47.538176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:13.926118Z","title":"Assran, M","venue":null,"work_id":"dd777038-df37-4dc6-831f-327feba602b1","year":2022},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.542757Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:daa236a00b1856df2fd54e77b08145962af059f6567bb52a51bcd6d2f1df2435","observation_id":"1771c311-db21-461b-919f-04e6f7d18269","resolution":{"observed_at":"2026-08-07T10:30:13.931483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:13.909776Z","title":"Bähr, G.-C","venue":null,"work_id":"04d97856-1f5b-4c1e-a8c7-0958f7d1fe79","year":2022},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.548091Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:98199e9d1138aac55b869753d49f9b535029a622d6d3d8cc22e6ae805c47968c","observation_id":"f62c8bbd-175f-432d-baae-a16f0a0011d9","resolution":{"observed_at":"2026-08-07T10:30:13.914628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.13703","last_updated":"2023-08-25T23:21:53Z","snapshot_observed_at":"2026-08-13T10:27:23.001012Z","submitted_at":"2023-08-25T23:21:53Z","title":"PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.13703","snapshot_observed_at":"2026-08-07T10:29:47.552411Z","title":"Beebe-Wang, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.552411Z"},"links":{"cited_paper":"/paper/2308.13703","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:645f0c0cf25d0691066a92151b78a5afc4fd787fc6d74787a59b9c21707f8870","observation_id":"c3ce35a0-cfbe-4a96-a52b-fa51e970333d","resolution":{"observed_at":"2026-08-07T10:29:47.552411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:13.893753Z","title":"Bleser, D","venue":null,"work_id":"9faef2ef-1c94-4f9d-9e25-abbb56b4fd52","year":2015},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.557454Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:a95ddb4eef581b48ef25447144e8555bf5149d177dd951dceda2b7de25d1ea95","observation_id":"fbd96d46-6373-4f4c-adb7-d9e5cbd904b3","resolution":{"observed_at":"2026-08-07T10:30:13.898970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:13.877555Z","title":null,"venue":null,"work_id":"c6863079-1d33-4d23-86f6-de72f83dd900","year":2018},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.561847Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:502baa98f8898c57c179d9addccc23b57f3e5a4c61deae8b1d049cd494c468d4","observation_id":"ebf7f48a-1384-4f44-95ce-cfb26673df6b","resolution":{"observed_at":"2026-08-07T10:30:13.882944Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:47.566983Z","title":"Caron, H","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.566983Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:85c98d2241a6cf84d5cc53ec41ddd0980a962c2266bc8d2cd0093cb844f7ed92","observation_id":"09c42fea-3390-4562-ad48-d97e29f26415","resolution":{"observed_at":"2026-08-07T10:29:47.566983Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:13.850847Z","title":"Chang, C.-T","venue":null,"work_id":"14d449af-4cdb-4b1b-aaa6-a3ce0e34c2a9","year":null},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.571525Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:c2628dc349e1fb42c368727de35a45092a9d26418b00ef842acb61206a822a29","observation_id":"71ad9cf9-778d-484a-a89f-3e8c4a85a38f","resolution":{"observed_at":"2026-08-07T10:30:13.856105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:47.575904Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.575904Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:f0d42ec48db25a343e898320db19be25cfdb6442646466d677950abc8d10ca32","observation_id":"14c25159-6def-4ac9-bf2f-4a6dcea6b6f6","resolution":{"observed_at":"2026-08-07T10:29:47.575904Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.02625","last_updated":"2022-10-27T21:43:35Z","snapshot_observed_at":"2026-08-13T13:54:54.281363Z","submitted_at":"2022-10-27T21:43:35Z","title":"MAEEG: Masked Auto-encoder for EEG Representation Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.02625","snapshot_observed_at":"2026-08-07T10:29:47.580784Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.580784Z"},"links":{"cited_paper":"/paper/2211.02625","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:de8c596647ea7716934ab6d532651dc2c5616e6d422426331e6ec14292c1a48b","observation_id":"0ea4c891-0956-4864-a953-fe844b9f6638","resolution":{"observed_at":"2026-08-07T10:29:47.580784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:13.824882Z","title":"ChuDuc, K","venue":null,"work_id":"d0fd7ef9-be2d-4868-a4b3-682f6922e463","year":2013},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.585378Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:4759354d10bed5deb2517970cb9156dc6863c78698172e930ae59ff9cb80c246","observation_id":"65374dd6-9dd9-4bd6-bd8b-5b2167c96ece","resolution":{"observed_at":"2026-08-07T10:30:13.829450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:13.808531Z","title":null,"venue":null,"work_id":"4cd65f22-e6dd-4ff1-a4b0-54814ec705d0","year":2024},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.589693Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:4b46c4f3fb1748d13362013045771ced430bc13f08d47a90c233ae2308d2f14f","observation_id":"9787a605-5f10-4a1a-b083-1b91f282ef3c","resolution":{"observed_at":"2026-08-07T10:30:13.814146Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:13.792366Z","title":null,"venue":null,"work_id":"c9a78737-1101-4383-ae32-0805be24996b","year":2024},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.594015Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:c40660c90ac7f4be24c056a35f75556a3158fa4b4783c83905d29028744f39c2","observation_id":"b403b0e5-c9ea-4dd2-9dd8-0c9d47666fd9","resolution":{"observed_at":"2026-08-07T10:30:13.797735Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:13.776740Z","title":"Decorte, S","venue":null,"work_id":"a1e1c39e-a79f-4764-acfd-aa937fa089ef","year":2024},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.599449Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:e5070d4fe3cfc7f92d6ec89e165f42e0edbbbc9108f51963febf9e9f6cbea8ff","observation_id":"314bd340-f665-45e1-8011-0a4eb5d17e6a","resolution":{"observed_at":"2026-08-07T10:30:13.781730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:13.761118Z","title":null,"venue":null,"work_id":"776fab27-9d8a-42b5-bd49-a4c2218d5dfb","year":2010},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.603738Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:4241db7016b52a9db4b0d9f4bbc96bd6ba0c4761a66fff49c0ed8b44eadd7da2","observation_id":"1ebb7404-e206-4ffd-a923-9e73260ce006","resolution":{"observed_at":"2026-08-07T10:30:13.766133Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:13.723640Z","title":null,"venue":null,"work_id":"becc5485-b458-4160-812a-edf7a5ef4f68","year":2023},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.608936Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:2282e5c6430695efdb58db3ae99cc2094bf6f96a39142a89ca6d1c491156f98d","observation_id":"1504506c-ddfb-41a8-adb9-53461bb0194f","resolution":{"observed_at":"2026-08-07T10:30:13.746468Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-13T14:19:26.598265Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-07T10:29:47.613457Z","title":"Dosovitskiy, L","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.613457Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:50ca6924a4728c7d1b476346dc1b5ac442e2ec20f197205b09f3dc9aad022d96","observation_id":"bb9659e4-54b3-43a5-87d1-310a8d74c5ea","resolution":{"observed_at":"2026-08-07T10:29:47.613457Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:13.437848Z","title":null,"venue":null,"work_id":"05efaeee-21a8-49db-8591-4d62839a42ba","year":2020},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.617609Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:1fa2d85596b86f3b01953f95d00c3e5b0f7f9ef6eb3f719f7bf4da3138cdb0a4","observation_id":"60072b15-69d3-4f04-8f68-4a6a5d384e24","resolution":{"observed_at":"2026-08-07T10:30:13.636606Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.13793","last_updated":"2023-09-25T01:03:45Z","snapshot_observed_at":"2026-08-13T10:05:56.114361Z","submitted_at":"2023-09-25T01:03:45Z","title":"ReMasker: Imputing Tabular Data with Masked Autoencoding","version":1},"cited_work":{"arxiv_id":"2309.13793","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.13793","snapshot_observed_at":"2026-08-07T10:29:48.139436Z","title":"ReMasker: Imputing Tabular Data with Masked Autoencoding","venue":"cs.LG","work_id":"8a9d6324-979f-4fdb-9498-260722491989","year":2023},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.621952Z"},"links":{"cited_paper":"/paper/2309.13793","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:a8bc69fd44eae76a12c152035a4a1dad1b8b921a0af5054851b53f58802d0c3c","observation_id":"fdc9a555-e03f-497d-afc4-394d0bcb7447","resolution":{"observed_at":"2026-08-07T10:29:48.145100Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:13.000790Z","title":"Ericsson, H","venue":null,"work_id":"7c4bb54b-a513-469a-885c-52460d948585","year":2021},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.627507Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:b1baec6bdc7567ef41d5c0951f7a7ff8e1aed8e5c46ba7d6dd49c504c8fc501e","observation_id":"55870a9b-3c53-445c-aac2-6156d91e170e","resolution":{"observed_at":"2026-08-07T10:30:13.082443Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.977449Z","title":null,"venue":null,"work_id":"b4da72a7-e958-4f4c-8c5c-470a89a65387","year":2024},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.632532Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:eb3418b9953484590c58fa5223746721b1d5280f88418e326cfa5c8b77786f5d","observation_id":"623f8618-4063-4b42-a9e7-5974b3366a92","resolution":{"observed_at":"2026-08-07T10:30:12.985006Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.955807Z","title":null,"venue":null,"work_id":"52a849b4-5acf-4922-9962-8b729f00942f","year":2020},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.637644Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:c8f6e4aacc251161122437685db5e5fafc82bb1609d035405b073e1dc3f7707f","observation_id":"32cf09f5-ec20-4176-82e0-b7f9cb9f2c52","resolution":{"observed_at":"2026-08-07T10:30:12.964156Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.935210Z","title":"Haneuse, D","venue":null,"work_id":"428128b6-02b0-4d6f-b654-5788b3e9f635","year":2021},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.642930Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:302fec63eeab246dacb72b4c04566a45b52cfa998244d2ec8c755d9fd814f470","observation_id":"b99fa018-d59e-48c1-99d6-8c962a9a37aa","resolution":{"observed_at":"2026-08-07T10:30:12.943235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.914231Z","title":null,"venue":null,"work_id":"75d7f06a-12e7-4c11-aabb-f1f5b9088aed","year":2011},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.648531Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:5ff7f86b3096200fdc91004e12a2c759e5fe15d09c56989b575493e7153a12b0","observation_id":"59d4f306-cfd9-4387-99d3-cd4ff24862b5","resolution":{"observed_at":"2026-08-07T10:30:12.922384Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.893919Z","title":null,"venue":null,"work_id":"96f4cb5d-359a-416e-8821-efe959874525","year":2022},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.657732Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:871fc90a2a8b5b5a271c83bc41c2a552156419d0abd0c264f8446bd6df584d76","observation_id":"01d3b733-eaee-4fee-b904-84c097cf3220","resolution":{"observed_at":"2026-08-07T10:30:12.901039Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:47.662706Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.662706Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:3dcdee2b5bc39329268c9d0daff7cb2491182b5614e8890d4b6d8b576c285ca7","observation_id":"0de85e4d-df89-4fc1-b3ed-7796fc8d5f5e","resolution":{"observed_at":"2026-08-07T10:29:47.662706Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.864647Z","title":"Hecht, S","venue":null,"work_id":"c07b7ffc-1b5a-4cad-a86a-e4007b1424e8","year":2009},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.667282Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:d1d415ed33cd184abe0f0e8ecaf6e7220670a368e56dd8327c1f7e5f7d84bae6","observation_id":"e9bc2655-e751-47ce-9b5a-a4e3c3f64d22","resolution":{"observed_at":"2026-08-07T10:30:12.870919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.843913Z","title":"Jeong, A","venue":null,"work_id":"7170a2cb-7a48-4ddc-bb8b-d3df452d5643","year":2025},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.672749Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:01c9c104f191665d9cd2175aba3c1c4b66c8e1cd0c6a29da5ebe222e1411d488","observation_id":"0c070e88-9844-4a34-8f86-a5b8501f2c93","resolution":{"observed_at":"2026-08-07T10:30:12.852060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.05437","last_updated":"2024-01-12T11:14:58Z","snapshot_observed_at":"2026-08-13T04:47:31.067460Z","submitted_at":"2024-01-08T08:21:37Z","title":"Representation Learning for Wearable-Based Applications in the Case of Missing Data","version":2},"cited_work":{"arxiv_id":"2401.05437","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.05437","snapshot_observed_at":"2026-08-07T10:29:48.116347Z","title":"Representation Learning for Wearable-Based Applications in the Case of Missing Data","venue":"eess.SP","work_id":"504c927c-40b4-4c97-b50c-2f5ee4118f8a","year":2024},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.677012Z"},"links":{"cited_paper":"/paper/2401.05437","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:ee3fcaddb18c22aaa2417c432a8f8db18a3db2ff959176fa67e790dcbf540ae7","observation_id":"d1853e9a-a944-468a-8ea4-3e3a7056349d","resolution":{"observed_at":"2026-08-07T10:29:48.123204Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.823117Z","title":"Katori, S","venue":null,"work_id":"02b9dcea-b88d-467a-9334-e8c8890ae5e7","year":2022},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.681870Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:327b8b4af2a722697f57cca17507e18899e451f7be0cfca895afaf9b005d1ea2","observation_id":"8d5cf632-e0ac-43a9-be11-a64af9b09495","resolution":{"observed_at":"2026-08-07T10:30:12.831304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.801814Z","title":"Kinnunen, A","venue":null,"work_id":"d560bdd6-1425-4d86-bd4d-b9024e4464e5","year":2020},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.687131Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:8c8a8963939a446c18631f415e614aba7907a941e57d66b9289a257bd6f98fe9","observation_id":"08248427-8d88-41f0-b3f5-334e0d50441d","resolution":{"observed_at":"2026-08-07T10:30:12.809529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.08871","last_updated":"2023-01-21T03:20:23Z","snapshot_observed_at":"2026-08-13T13:00:17.606419Z","submitted_at":"2023-01-21T03:20:23Z","title":"Ti-MAE: Self-Supervised Masked Time Series Autoencoders","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.08871","snapshot_observed_at":"2026-08-07T10:29:47.691657Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.691657Z"},"links":{"cited_paper":"/paper/2301.08871","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:3ca7366b9511aa1fc40eba47725083533d3d98613ea450d011775880e824b68b","observation_id":"0c74f401-9aa6-4d81-aac7-44052b5ca2a4","resolution":{"observed_at":"2026-08-07T10:29:47.691657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.09336","last_updated":"2024-07-12T15:13:16Z","snapshot_observed_at":"2026-08-12T23:23:20.966628Z","submitted_at":"2024-07-12T15:13:16Z","title":"Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.09336","snapshot_observed_at":"2026-08-07T10:29:47.697397Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.697397Z"},"links":{"cited_paper":"/paper/2407.09336","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:54d1abb1b7a19ced3fe8e2135239d7c4b825885f4faed8ec415d67377bdfbf92","observation_id":"e7d8f0e3-3576-4a9b-a083-3f9080c432ca","resolution":{"observed_at":"2026-08-07T10:29:47.697397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.782598Z","title":"McDermott, B","venue":null,"work_id":"fb63fbd7-b475-4e43-8a18-4f4e15c8e855","year":2021},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.702850Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:977234148d64af303e932450fb1412504a4ae1ea25975f080f5f3d92fd72387b","observation_id":"d3920864-3a52-4cad-ad1a-1e562f4b2ca2","resolution":{"observed_at":"2026-08-07T10:30:12.788360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.763496Z","title":"Mekruksavanich, A","venue":null,"work_id":"dd803882-f428-4b13-b72d-9038472f7bbe","year":2022},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.707533Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:4ac1bdecc2c2451e0a1c1b86c6973240334f10c475922b4181eb32259fc9d144","observation_id":"63c07de8-9816-40a7-8b24-d28ad13d77ee","resolution":{"observed_at":"2026-08-07T10:30:12.769999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09450","last_updated":"2024-03-19T16:17:00Z","snapshot_observed_at":"2026-08-13T04:28:33.625172Z","submitted_at":"2024-02-02T10:04:13Z","title":"Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09450","snapshot_observed_at":"2026-08-07T10:29:47.711711Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.711711Z"},"links":{"cited_paper":"/paper/2402.09450","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:7cc4d52b88ee77e5d545e612270caf9c4381d37ea882fe67a238484fed68d3a2","observation_id":"90baf46a-6ada-42da-9767-692d901cfc0a","resolution":{"observed_at":"2026-08-07T10:29:47.711711Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13638","last_updated":"2024-10-17T15:08:21Z","snapshot_observed_at":"2026-08-12T22:20:52.464154Z","submitted_at":"2024-10-17T15:08:21Z","title":"Scaling Wearable Foundation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13638","snapshot_observed_at":"2026-08-07T10:29:47.716416Z","title":"Narayanswamy, X","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.716416Z"},"links":{"cited_paper":"/paper/2410.13638","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:590bcdd4743ccb91cd0adc7f9e7e959d5af66fc62a898d2bbe11d575efa3efa5","observation_id":"acfc93fd-2fed-4b2f-86d8-959d1ec75113","resolution":{"observed_at":"2026-08-07T10:29:47.716416Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.742620Z","title":"Bigsmall: Efficientmulti- task learning for disparate spatial and temporal physiological measurements","venue":null,"work_id":"bdd6a477-503c-4761-81c9-01911b98f28a","year":2024},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.721554Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:ef7d645444a192c48644be6a36060f87c8cd69ad8b8564d790441d649e461303","observation_id":"8fb5551b-509b-4375-b61f-69db7deb5064","resolution":{"observed_at":"2026-08-07T10:30:12.751382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.14730","last_updated":"2023-03-05T22:11:56Z","snapshot_observed_at":"2026-07-31T22:45:35.561492Z","submitted_at":"2022-11-27T05:15:42Z","title":"A Time Series is Worth 64 Words: Long-term Forecasting with Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.14730","snapshot_observed_at":"2026-08-07T10:29:47.726255Z","title":"Atimeseriesisworth64words: Long-term forecasting with transformers.arXiv preprint arXiv:2211.14730, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.726255Z"},"links":{"cited_paper":"/paper/2211.14730","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:2124511dfdcf66583f5a2552bbda11b8a9be71e5f3d5c79de4156483409b2953","observation_id":"752e0fa0-be38-4886-86ef-a017bb92eb62","resolution":{"observed_at":"2026-08-07T10:29:47.726255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-11T10:12:11.384939Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07193","snapshot_observed_at":"2026-08-07T10:29:47.731099Z","title":"Oquab, T","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.731099Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:82cec1bbb18f759e33163935126bb238747b53c327c4356c9ed1ab4e33164196","observation_id":"fb611fb6-f510-4006-83e8-bfa78262b7c7","resolution":{"observed_at":"2026-08-07T10:29:47.731099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.721845Z","title":null,"venue":null,"work_id":"b64960de-e2a5-4359-8862-dec940cbf21e","year":2020},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.735688Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:c4e4657a59b0f2f131bf0ea01d3fed89669c6aa795788ab25feb22ce6020db54","observation_id":"f76df406-cddb-4cc8-994e-2a9ddbeb812d","resolution":{"observed_at":"2026-08-07T10:30:12.729491Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.701013Z","title":"Pillai, D","venue":null,"work_id":"229f06f2-c921-4b88-993c-0fe944e17cff","year":2025},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.741122Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:41778516d030daa227bf3ccd31d7b4a0e8ffd5f571e70c722013d2865ff85aba","observation_id":"6c49dc0c-68c1-4bce-a849-64a0963a16b1","resolution":{"observed_at":"2026-08-07T10:30:12.707893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.680427Z","title":null,"venue":null,"work_id":"c079c2b2-6819-4c38-99b4-d3eeb082c4c8","year":2020},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.745545Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:e9a9b2095dfab1dde589145938a80046d8a5a97b9fa3357e1ac76dbb8f52ee73","observation_id":"49f8359f-c5bc-4582-8a3f-1847aefdcf07","resolution":{"observed_at":"2026-08-07T10:30:12.688426Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.660485Z","title":"Qin and Y","venue":null,"work_id":"6f121858-cbcf-4e21-8458-90a0875251af","year":2023},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.750644Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:553fbd4180b5053f88dc336102bed0f596dde7cedffbff177f1b379b64d8bbad","observation_id":"03e650e2-9163-4f59-8a46-7ad5635f8844","resolution":{"observed_at":"2026-08-07T10:30:12.667136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.639732Z","title":null,"venue":null,"work_id":"56c7bd83-f35b-4f8c-8ade-e98a1ff4c230","year":2017},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.757876Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:e05cb523ba2171d67cd9667926b423bc9461b8022ff8e09913427285451b358b","observation_id":"ed3086d0-378d-41d8-80da-732dff64d1ea","resolution":{"observed_at":"2026-08-07T10:30:12.647138Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.619422Z","title":"Rommel, J","venue":null,"work_id":"4a949483-f675-4bef-b15a-aec918069df3","year":2022},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.763169Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:2994f50933d9d9fe2ef00124670a229507fd4680f8245a14810fdd6b098f8f35","observation_id":"2a4bad3c-4b0d-402d-81f5-a99d9b20dddd","resolution":{"observed_at":"2026-08-07T10:30:12.627653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01108","last_updated":"2025-07-23T23:13:37Z","snapshot_observed_at":"2026-08-12T16:44:40.509286Z","submitted_at":"2025-02-03T06:56:40Z","title":"Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.01108","snapshot_observed_at":"2026-08-07T10:29:47.767712Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.767712Z"},"links":{"cited_paper":"/paper/2502.01108","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:7df5345018ee066b9c4a7a82e15a90e734bf7cca793ac2edbcf89d7ab85ba0fe","observation_id":"286b5a07-8675-418f-8de4-cf917ffaa35f","resolution":{"observed_at":"2026-08-07T10:29:47.767712Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.599279Z","title":"Schmidt, A","venue":null,"work_id":"595d094a-d2d3-4285-bba3-259d4fc18144","year":2018},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.772315Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:5cdcf5377e756fe4fc9e39a01c00fc6975796680d47d383b133329dfde7a6b0e","observation_id":"fd3adc14-c3be-4f9d-a4ed-728627f2b09a","resolution":{"observed_at":"2026-08-07T10:30:12.608060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.575346Z","title":"Sevil, M","venue":null,"work_id":"073a95b8-e6a2-4d45-925b-63fdc84bd0ec","year":2020},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.776940Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:34447082b41d56c670072d762d7278ce188456610c20c697f2bc23dd6203eca3","observation_id":"236c3cbb-e680-4137-9872-a78613eadaa6","resolution":{"observed_at":"2026-08-07T10:30:12.582929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:30:12.553609Z","title":null,"venue":null,"work_id":"ddb36755-2b97-44ff-8705-0a2584df2d75","year":2022},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.782040Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:cd418a6a04dc279d891343c2e8873ff07137a187d6a0a641b027ecc613ee39d0","observation_id":"c96644d5-7fb6-437e-a050-aceaf6e39e12","resolution":{"observed_at":"2026-08-07T10:30:12.562012Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:47.786298Z","title":"Silva, G","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.786298Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:bfc6856d8fd6703bffaf630a25cf5fcb3fc3e19efb7e4087a63a8b686b28574a","observation_id":"90322d53-a6bb-41b5-9bc2-d0963750723a","resolution":{"observed_at":"2026-08-07T10:29:47.786298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:50.505285Z","title":"Spathis, I","venue":null,"work_id":"c2c4f307-01b5-4479-b109-dfa295e45bcc","year":2021},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.790845Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:5036e52a2a5175dd142fe785700f33ac3aa31c8abe474aa9e66900c28b3d2249","observation_id":"440d65fc-0fb9-4b94-bdcf-80cd2520ded7","resolution":{"observed_at":"2026-08-07T10:29:50.906772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:50.247377Z","title":"Srimedha, R","venue":null,"work_id":"0fff2126-ab1a-4ab0-8415-e2b29dbcec8c","year":2022},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.794979Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:eac067b9029b74326d20715194b24e32678394659fa405e53f3b5ee955a68cee","observation_id":"7d8074b0-d5b4-47e5-a043-678793c8c297","resolution":{"observed_at":"2026-08-07T10:29:50.369130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.11542","last_updated":"2021-02-11T05:41:43Z","snapshot_observed_at":"2026-08-13T20:58:28.056135Z","submitted_at":"2020-11-23T16:55:22Z","title":"Exploring Contrastive Learning in Human Activity Recognition for Healthcare","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.11542","snapshot_observed_at":"2026-08-07T10:29:47.800497Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.800497Z"},"links":{"cited_paper":"/paper/2011.11542","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:d996eeced3ca01cac8ccfd973765663d4fe2104a803ea128d64ba22380192a80","observation_id":"c87af4a5-11bb-4bb9-9eb8-3f4ec348e7d7","resolution":{"observed_at":"2026-08-07T10:29:47.800497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-07T10:29:47.805069Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.805069Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:e83e208ca40bd28b250d44996f36ae54272c7ab8d2ef52b95d2bb43777e8b47d","observation_id":"ea0674a8-5529-4510-97fe-1e51623fe52d","resolution":{"observed_at":"2026-08-07T10:29:47.805069Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.00750","last_updated":"2021-06-01T19:53:24Z","snapshot_observed_at":"2026-08-13T19:12:16.993897Z","submitted_at":"2021-06-01T19:53:24Z","title":"Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.00750","snapshot_observed_at":"2026-08-07T10:29:47.809996Z","title":"Tonekaboni, D","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.809996Z"},"links":{"cited_paper":"/paper/2106.00750","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:778e7563090d1a3bd191ee914d1e8bf3fbaaa311d8d2cfeb4213c5027a1831c7","observation_id":"29d35ee0-d90c-482c-98c6-6a1abf350598","resolution":{"observed_at":"2026-08-07T10:29:47.809996Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:50.003189Z","title":"Truslow, A","venue":null,"work_id":"5df182ef-a0fc-47ed-bf83-064e3dfd485b","year":2024},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.814819Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:8c13bbf9df15b555978c697a09375969e8f99754886c1d9d41be601d280dc782","observation_id":"b92de7a7-bbf3-4d5e-8919-171bebaee25f","resolution":{"observed_at":"2026-08-07T10:29:50.108569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:49.531199Z","title":"mice: Multivariate imputationbychained equations in r.Journal of statistical software, 45:1–67, 2011","venue":null,"work_id":"705144ac-43f1-4e82-90c8-c6a533dea67c","year":2011},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.819309Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:e133c070e19809390cdbe2c0deebe4993dc5d54b9ce628179bbe8cffbffe974e","observation_id":"89482ab7-4fe2-4c1d-b59c-0e67d518148a","resolution":{"observed_at":"2026-08-07T10:29:49.800808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:49.322833Z","title":"Attention is all you need.Advances in neural information processing systems, 30, 2017","venue":null,"work_id":"bdafdeef-1f6e-487d-9614-317ffc5c662f","year":2017},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.823485Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:9a86f60bc976290319932ca0078a60fa010452e8f5542a673fd21db3e6e47cca","observation_id":"101df799-a78d-4630-aa95-7400dec419af","resolution":{"observed_at":"2026-08-07T10:29:49.390714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:49.153328Z","title":null,"venue":null,"work_id":"0bf5b965-e09b-420f-9752-04e637fcddb7","year":2024},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.827638Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:fa59fca392951e4e121d006baa2bfe98e7fa7e99755c9d55da3dc08447bf4f64","observation_id":"6524d804-cd04-42cd-b528-9de77d1ab596","resolution":{"observed_at":"2026-08-07T10:29:49.225801Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:48.965961Z","title":null,"venue":null,"work_id":"4984b0b5-e25d-4a7c-9213-fcfdba96ec02","year":2020},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.831804Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:c1208a889fff1f1fb7e181abd56048288b8258339316e41b3e50a610ef31e744","observation_id":"d8f377a8-eb21-4d9f-8dce-214caf2312d4","resolution":{"observed_at":"2026-08-07T10:29:49.067484Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:48.810447Z","title":null,"venue":null,"work_id":"ba859224-dd85-4276-a49d-8d1bed0740a7","year":2015},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.836079Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:86f338c4ffb0613dd39847abdfd3c7c904691853dd3aa669614709bfb7ec0f79","observation_id":"2baf94ad-3a91-4bf3-843b-73afa5fe3fcf","resolution":{"observed_at":"2026-08-07T10:29:48.884237Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:48.637148Z","title":null,"venue":null,"work_id":"34e7c2f1-a19c-4e8b-9943-3cc6b02f789d","year":2022},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.841059Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:467ea189bfe81add580a6c0f944cadc09188e993274543d051e8a5f34ba38456","observation_id":"2ae4f815-a3ee-4d6f-abfb-1b211b6f5b31","resolution":{"observed_at":"2026-08-07T10:29:48.712869Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.00519","last_updated":"2024-10-25T20:56:20Z","snapshot_observed_at":"2026-08-13T05:34:58.234011Z","submitted_at":"2023-11-01T13:44:45Z","title":"REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.00519","snapshot_observed_at":"2026-08-07T10:29:47.845798Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.845798Z"},"links":{"cited_paper":"/paper/2311.00519","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:d635a3b4441ea6161475b48bd37cda652651eab755d493e5fbbb6384f82c5f2d","observation_id":"9fd7c5a9-026d-4350-bb54-7508f5482ba9","resolution":{"observed_at":"2026-08-07T10:29:47.845798Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18822","last_updated":"2025-04-10T22:16:56Z","snapshot_observed_at":"2026-08-12T10:48:59.028135Z","submitted_at":"2024-11-27T23:51:53Z","title":"RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.18822","snapshot_observed_at":"2026-08-07T10:29:47.850296Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.850296Z"},"links":{"cited_paper":"/paper/2411.18822","citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:e42a9577064b71771b687beea93ab3da67b10bc7134ffeaf1109c17eb1279e87","observation_id":"cef976ea-68aa-47e1-ae9f-3b94e61e0017","resolution":{"observed_at":"2026-08-07T10:29:47.850296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:48.461914Z","title":"Yilmaz, X","venue":null,"work_id":"a340fafc-75f5-41ca-829f-572c0089f56e","year":2023},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.854933Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:925a896e992af4d9548b95fd2a48986273617fad9bdefc05f62d04c4f3185def","observation_id":"fe964352-bbf3-48e1-86a5-b4e8a3c089cb","resolution":{"observed_at":"2026-08-07T10:29:48.552087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:48.412138Z","title":null,"venue":null,"work_id":"89580694-aa32-4109-99ce-920573763188","year":2018},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.859918Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:4601fd8a90cc7550ed0c6ddd6050876795b9d14d781c257cfd5f706436990dc4","observation_id":"f5c84f8f-ef17-4614-b8d4-0f62169f8bd7","resolution":{"observed_at":"2026-08-07T10:29:48.425608Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:48.387325Z","title":null,"venue":null,"work_id":"76f4d35a-3212-4d62-b8f9-d21096c6739d","year":2024},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.864491Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:26216a5f212f8e8b577db70356b93c0628a2606245ad6b7bac9adbd127c67313","observation_id":"a7631e8b-07b2-4f2b-a6ef-b15364e6b371","resolution":{"observed_at":"2026-08-07T10:29:48.396649Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:48.358412Z","title":"Zhang, Z","venue":null,"work_id":"6a4286d9-f494-460c-9e6f-2eb557a0befa","year":2022},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.868942Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:069b63055b2cf4d3212875613e1bd43e5ef77bc88564a71f6eb5cff72d42085c","observation_id":"b9afd736-0557-4a7d-9149-3541dbe28e2d","resolution":{"observed_at":"2026-08-07T10:29:48.369762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:48.320317Z","title":null,"venue":null,"work_id":"818dbf83-bb3c-4f23-ae65-d8423b428f4b","year":2023},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.874355Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:26b1cb7f2ec078acf680243850778237d657e9efc03963c99551e1e02fd09a62","observation_id":"704c9803-6446-4bc7-910f-bfc835078060","resolution":{"observed_at":"2026-08-07T10:29:48.334739Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:48.292727Z","title":"Evaluate the feasibility of using the data provided by wrist-worn wearable devices to develop algorithms and scores to assess metabolic health","venue":null,"work_id":"fd208e73-370e-44b9-b95a-bfed59badf58","year":2014},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.880133Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:71b4c7b26366f2ffea64b70749ddb4ddf6cb358a6e01fa713dab8b6155a9f006","observation_id":"353cf6ce-f7f6-47c1-9a4f-0262a8e2163a","resolution":{"observed_at":"2026-08-07T10:29:48.302502Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:48.259492Z","title":"This is useful for modeling sensor noise, in which random channels at random times will be missing","venue":null,"work_id":"e54aba77-c66c-416e-85ec-159725939878","year":null},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.886059Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:23829d0e6a34a2d2dd21144b86c396a3ae14760aa3a1e8246ef4168fd955fb69","observation_id":"d38562aa-c692-4574-8da6-bcd5036d1e0b","resolution":{"observed_at":"2026-08-07T10:29:48.274769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:48.243392Z","title":null,"venue":null,"work_id":"c5ef3487-65e6-435c-9ec5-b37aebeec99e","year":null},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.891377Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:f9b80f68f5477a8846cd05cad399cba39b993c63ff39d5711138279f2b89b72a","observation_id":"890553da-0068-44e2-8ac0-40d32807182f","resolution":{"observed_at":"2026-08-07T10:29:48.247991Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:29:48.227930Z","title":"my resting heart-rate has been elevated ever since I fell sick","venue":null,"work_id":"1e584f67-96a2-4bd0-b68e-ce251cafadd5","year":null},"citing_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:47.896919Z"},"links":{"citing_paper":"/paper/2506.05321"},"observation_digest":"sha256:4024893ee92643db53da8da00804c6340934af7d101cd4c23aeb8d7cc2dba366","observation_id":"05886d7b-d7af-463a-ace5-b81290ae1b2b","resolution":{"observed_at":"2026-08-07T10:29:48.233315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T19:46:36.046490Z","submitted_at":"2025-06-05T17:57:11Z","title":"LSM-2: Learning from Incomplete Wearable Sensor Data"},"reference_resolution":{"displayed":78,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":43,"verified_exact":2,"verified_fuzzy":32},"total_outbound_references":78},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 9 inbound Pith citation observations for arXiv:2506.05321."}