{"as_of":"2026-08-07T18:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:71632cedfeb92f72129b73c3aad0c58fd3084d0799d7451243affdff4a1431b0","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":"2026-08-07T06:34:17.273281+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":"2026-08-07T10:19:06.341519Z","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":"2026-07-06T22:57:59.555972Z","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":"sha256:8e8bc23b50358e967e87f16e1de254f7a3276454cbfa9473fcc74670a1a02020","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-07T10:19:06.341519Z","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":"2026-08-02T05:43:24.064777Z","submitted_at":"2026-05-01T17:04:15Z","title":"Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning","version":1},"reference_index":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:ee30f19cc57b12239cb02099a18dffa93a8b477bde0545886b8332700af6c688","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-07T10:19:06.341519Z","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":"sha256:9019df92dd52ea5f63c2cbd3481747f6be26d7c9911583d4bf1c629cbeb45a5f","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-07T10:19:06.341519Z","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":"sha256:2728aa4fb699e63a89ae2c317874ec3f3d47040068be645bd8ef67339aada6e3","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-07T10:19:06.341519Z","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":"sha256:0a8a1f48104506b1182fd3a54c0c9cf7aeeae35a4a52f48b76726bce63f0d808","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-07T10:19:06.341519Z","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:dd254dfccbaa1474f40701493f4650293452b2c21600ac0527b5cad5a218b55e","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-07T10:19:06.341519Z","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":"2026-08-01T11:56:32.112368Z","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:c1dd30c16f53060dc50bbccda0f35b8911badaf35d9c796ed1776e16bde29ef6","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05321","last_updated":"2025-06-05T17:57:11Z","snapshot_observed_at":"2026-08-07T10:19:06.341519Z","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":"2026-07-21T10:33:05Z","snapshot_observed_at":"2026-08-07T13:47:01.781318Z","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":"sha256:3c17e6f85febdea43006030872d6fbbf1610b1bf222ecb3372ffc75a3dee17ea","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":"2026-08-07T10:19:06.341519Z","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":"2026-08-07T16:41:19.020420Z","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":"sha256:8857c3e8c2af2ab67221c2768de3f564336d804d61560d2f13cc3810e2512426","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":"2026-08-04T14:53:45.346166Z","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":"2026-08-07T10:19:06.341519Z","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":"sha256:35cc2c4e7aba03e4d4f5bcd8bec3b1fbc9473c4d7be46fd1b613a6cebe122419","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":"2026-08-07T10:19:06.341519Z","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":"sha256:0223fbb77f840da094984439086c82806c339bdcdf13922acc390d1224152ddb","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:e3e509c8ca3b14e42a53ed393cb283d583c7af55127a7dba2961da2e0354772c","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:86ed3f8ea681d5f229453a493fd9a4205ca09d597f3855c3f9c1cbb922c9ac4c","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:1c95c51b2b234f5a4cef0632ae98e4efd8122617d00baa3363cd2ae9dc7f2b9a","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":"2026-08-07T10:19:06.341519Z","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:ab31dbe4f02a2d5097d850ebf504938fd742d2b84859000a9f2aed537aa77bfa","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:12c7c89576a06d31e8ae65cdb68ca4829a19208c927a3cfc4f7da5ff913e4f07","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.13703","last_updated":"2023-08-25T23:21:53Z","snapshot_observed_at":"2026-07-06T16:10:38.925065Z","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":"2026-08-07T10:19:06.341519Z","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":"sha256:200142229c052e40df65b1231e777d90726d6b132e756e49c5e2c8edc9c70d7b","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":"2026-08-07T10:19:06.341519Z","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":"sha256:736a10bc5988cbf825919e90e0ea77abf3526e456b0883a40d35e79062a49a47","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:23cf0c60488a2fa0f164208ed73f5a26a53ae42e79fba08c0c8c025ffbda898b","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:f1c7fe9f6d978b9ccf93ab79b8bb6af4663f3df9062c94762f5f5bce5e3f5fc1","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":"2026-08-07T10:19:06.341519Z","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":"sha256:778ff40be1bce651638f2839607998b9173336871f12a0ccc960100ff5e45de2","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:cdcc78c857a7f95d669106d65d55d3642cce10f1e920c31fd280ee021bd48400","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":"2026-07-06T14:14:38.788226Z","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":"2026-08-07T10:19:06.341519Z","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:ca77b301ec8b632b95c4130fac96c0642b2f55b2fd7fca88aec2861770fa4bd0","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":"2026-08-07T10:19:06.341519Z","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":"sha256:8fdd342dc279900b586cc0c5555e5bf41d788ba3a12133b49a725fef60e2e869","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:007c85d110b02d84f19401d79b672334cadb163a56d41b8519a80a4320a995a3","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:6ff98dcede573b3a1542bac6ac13b736cd662dc464e5ed6d11db6853d142e501","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:e6f31f9264ef3e17ea01906d5d02fc061ab253a5fbda77c14b35165803d946cc","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:89a6884ead1c2aa43ed848760d6f18a007feb6aebd6a628fc03ca28f12e9f786","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:c0136dc518e0e9151850c54a4d1d5c54735fe1d7d451a4fe3f06e52c6eedc617","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","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":"2026-08-07T10:19:06.341519Z","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:ed4b89602e9a8dc13c9c3d063a8181841b4366277446a4a1cba2b23eaaa10672","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":"2026-08-07T10:19:06.341519Z","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":"sha256:59c16147b9dc77c980b66006d7f74e7382cb4f9479de7be2c5ce25adfa421566","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.13793","last_updated":"2023-09-25T01:03:45Z","snapshot_observed_at":"2026-07-06T16:23:02.443154Z","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":"2026-08-07T10:19:06.341519Z","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:ee70609a291a2a64920a508a4c9ea369d04c46253fae1094976ce4f82f7089d9","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:c62352131f0dd4b458042af302c2ea44723a0f97575aff3d79c5e75a2739443d","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:ffe67ed41346244c283ee7d62430e9961d83a4ceb09574266ebe1cb087c76d89","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:060be116c1c354ffd7dc72d7c2cf2d952a75f66476c0ba81ea6511e8f3e781c2","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:6d78cac8b3c4ef8aebfde261c3e8d91f102733fbc6e26c8fcb4a82c774992249","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:e614e229021dfd2b6230e994efff5ab1e21f953cfa38e085fb1d30226599c598","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:b1b1f5f5ebff4369ae3d49ead9b79f4458e86ef19af9d1bdd8e7fa906ed1c678","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:5577ec9fc724f22a4767a1ec80b35350c4c5467dce8b486bd1416b1e4f241a65","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":"2026-08-07T10:19:06.341519Z","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":"sha256:783bb1f2a6b41126d0d5115b8a1b38e7ceaeff901df4284b3fc6e57ef5af7b0f","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:9ccd1bec5a7b2485e59b948cdc4b3957ceef8bf24645747735ee512dadfa1205","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.05437","last_updated":"2024-01-12T11:14:58Z","snapshot_observed_at":"2026-07-06T17:13:59.073342Z","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":"2026-08-07T10:19:06.341519Z","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:af5dd3bd4f54ac688d3048aad322d1a87fbe8e4fafc557373a66144c4d968282","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:da1ad33a74eb848292625da17a72368bb3e8b1a6e92220dd3948ad0744288306","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:9a1d82ae114c61357a05fdf18c8aa76a061b8a21670d319dae280e7a752e3e63","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.08871","last_updated":"2023-01-21T03:20:23Z","snapshot_observed_at":"2026-07-06T14:43:23.855697Z","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":"2026-08-07T10:19:06.341519Z","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":"sha256:024f6107588d851e521ad537e087391ca1a89e4c5a943fb154924d23ccbb8fab","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":"2026-08-03T20:03:27.384236Z","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":"2026-08-07T10:19:06.341519Z","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":"sha256:7593039b4c6fa9807cf5d3dbfdbab62bd75c550ced95ec543e8dff9763f4cfd8","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":"2026-08-07T10:19:06.341519Z","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:e6bb3143e337f3fa8735b31544efe446506883883908052db416b2620fc3f5e8","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:3db602c53498401e7f46ffe1cfe1bb38f6273bb12a02cc405a5c6ae5c9848c6c","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09450","last_updated":"2024-03-19T16:17:00Z","snapshot_observed_at":"2026-08-07T00:28:49.748156Z","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":"2026-08-07T10:19:06.341519Z","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:d4be20995905f4fa21be515fb2f1fcf44f8bc671783d7e3bfcf071de14556295","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":"2026-08-04T15:47:09.454523Z","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":"2026-08-07T10:19:06.341519Z","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":"sha256:3ee84dacbcc99822ac30e4a3f121c15f927221aaf0e07c3378d15b7fd3c4eebb","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":"2026-08-07T10:19:06.341519Z","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:d2fe00c7f780f3b2770de3cc78899b968f5fb808f7b1080d0d9203525fc9b25d","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:b9df7e5dc918ecda1e8b7e269c72020c6ba13d7adf230c4dc746aceadca4a11a","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":"2026-08-06T05:58:29.182448Z","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":"2026-08-07T10:19:06.341519Z","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:e72a7a3af41c7eea7a724fbfd1f5a5fa2f02a291a8c88171c28767062d15006c","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":"2026-08-07T10:19:06.341519Z","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":"sha256:0bbfb2ae303a24df89999c5ac33ee7dbc5de73f2d5842dcaa8a2b6ee704cdb1e","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:41ab872f04757447e4b6604bacd906bc3244a01130006ddb0fe3204f2f900bb6","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:5f9fee7a6039886db5a020bd637ad2ddbbd9c26709f7ea4478c390b3cc15291c","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:c5aea566e3d811dcb254ab3ff6c82f78f6525c52a9b632a46646564a145c582e","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:acea22688e51b9a2b3d6cb862e40ad302922df0e238cbd759b0d36961e09a3a0","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:457b74678131ff4d886f1ad3229d64c77c67c61774a7153f53a738251e3407d4","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01108","last_updated":"2025-07-23T23:13:37Z","snapshot_observed_at":"2026-08-07T15:19:17.346589Z","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":"2026-08-07T10:19:06.341519Z","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":"sha256:287c8f9a9a735656248d7fd9a4ccecfeb1c3edfbbc87093f61fe178f00448b13","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":"2026-08-07T10:19:06.341519Z","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:a41e3c148c96449618c52ae97d7c3d24052afe981b943d9df5f2439939334636","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:1b79b743392bbffe429bd558b2519949e2c991ff8dd589efeb8c1cbdff45abd7","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:c5f5f0f7ec43c51750b12c2b7e82d59f81dd87649a59b2dbeef0c69c2a90ebaf","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:7b8a7c891f673db531c7a27260bfd2c000825f389093cfd115ab8d3682015023","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":"2026-08-07T10:19:06.341519Z","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:ed92c6b27a4dfe78152e2d5629fe13981d84b9237d6831181538c1051f596a4b","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:631a56eeab98a665a60782dfdb1cdaa1d3679558a68c9ebd542cff4494ed8723","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.11542","last_updated":"2021-02-11T05:41:43Z","snapshot_observed_at":"2026-08-07T12:17:21.212932Z","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":"2026-08-07T10:19:06.341519Z","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:db7230c48272f0b14866eed15e801e2833a800b0898976555614676efecac61d","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":"2026-08-07T10:19:06.341519Z","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:dc42018424e420efe8e705e33260cd50b82c2de97efb36ec43d1552c63a88065","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":"2026-07-06T11:14:57.172488Z","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":"2026-08-07T10:19:06.341519Z","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":"sha256:2b3f7a173e9c5bfb773a2e976f03f3481ad6d0af7ed50e2c20a7e5b5b48a6dc1","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":"2026-08-07T10:19:06.341519Z","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:d90403c6bfd6175cf00863f0ca86b9b6283139123abcc0b9f5343fefc2e4abe9","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:1dda8a1e9155988cc34e716996c592fe58e6d7026bcd984d821f2197a1e985df","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:937c2e63c1e7d7449de5145aa1991db29820e7556f08d26145a5c45782541d84","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:15e35648fa4427466eda081920c0323c93cbfe330fcffd44ff05c060aabc774e","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:848aa6e69067fb4e62488ea84b0591fe01d831bf4265fe0826d69e88f65d8e00","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:86455fd4dd77e4ffe04a3018db472b9cfacce303c902d691dac4b09b47ba399b","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:dd7e650b2c90200122398e2493ecd0965837a23dd938a8dfa55bcd32752bddbd","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.00519","last_updated":"2024-10-25T20:56:20Z","snapshot_observed_at":"2026-07-06T16:41:39.124080Z","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":"2026-08-07T10:19:06.341519Z","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:ee4a7494f5217f47c5481a84a79d164e4ade9d6e2bfa0a1d219e69b207d362e2","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":"2026-08-06T08:22:25.841543Z","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":"2026-08-07T10:19:06.341519Z","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":"sha256:36614d7d731fe7d27dacd918614aede2298049b93e32a1973d16452eb373c1f2","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":"2026-08-07T10:19:06.341519Z","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:fb3e56d7f4c032b74a3fd7c33f432b6909894dd60e04de40ee08f7bd99ef8eb6","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:f7f5ef3c36bac67e443493bf492e46a6a1048b295c0d2196d247494b79369b42","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:df7fa1d2c256a99dbb49496372f6c6456bdb47ac7fedac4c27df4aacfbb006e8","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:94a088393e20f43f8c18491f1c0109dedac513571665b33e7222e74102e21d9e","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:d2018a652d2b503d9bfb2a05bd60676cb1699dbdcead67ae3cb770e1719ccb8c","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:b772b0fc143a8ed9cceb29a1d90f83c5dcf1fa802d194e9d7d6829697a7f1ae4","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:a452068d4e7abcd46d0e23b1aa30bd95c0663270f00c8e9bc3ff1d4e4e85d98d","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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:b3a4e368879b4916ec541bc9382553f2c4e6841032e74d71bbc59e70dc0a16c6","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"sha256:258cfbfa30042ed1d986fba109ee474993b8d7d3e9ff86201745bb013a76f8ec","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:19:06.341519Z","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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 9 inbound Pith citation observations for arXiv:2506.05321."}