{"as_of":"2026-08-07T20:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1985a913377982650a5a773bc92fac9ca60a61d87c344d043bc5957303bcb4b6","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:29:47.800497Z","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":"2026-07-03T21:08:58.469710Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"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":"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":"2026-08-07T05:04:06.367328Z","title":"Exploringcontrastive learning in human activity recognition for healthcare.arXiv preprint arXiv:2011.11542, 2020","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2506.09108","last_updated":"2025-06-10T17:13:09Z","snapshot_observed_at":"2026-08-07T04:54:52.572544Z","submitted_at":"2025-06-10T17:13:09Z","title":"SensorLM: Learning the Language of Wearable Sensors","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:04:06.367328Z"},"links":{"cited_paper":"/paper/2011.11542","citing_paper":"/paper/2506.09108"},"observation_digest":"sha256:9cae48acf92d3f8935bce2774eb831e02f2bf2985bbe25f7764ff9dffb768455","observation_id":"210b99c5-8e4c-40f9-9e74-11bea6c54fb8","resolution":{"observed_at":"2026-08-07T05:04:06.367328Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-06T19:11:19.820272Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.06405","last_updated":"2025-07-08T21:15:12Z","snapshot_observed_at":"2026-08-06T19:03:19.862902Z","submitted_at":"2025-07-08T21:15:12Z","title":"SImpHAR: Advancing impedance-based human activity recognition using 3D simulation and text-to-motion models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T19:11:19.820272Z"},"links":{"cited_paper":"/paper/2011.11542","citing_paper":"/paper/2507.06405"},"observation_digest":"sha256:c3fbd624b8e42ddfdf1250c69194cc39a490216fdf4ae496777b15e96dbd99a3","observation_id":"20d55240-3c32-401c-b4fe-b4583061f854","resolution":{"observed_at":"2026-08-06T19:11:19.820272Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2011.11542","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2011.11542","snapshot_observed_at":"2026-07-03T21:08:58.469710Z","title":"arXiv preprint arXiv:2011.11542 , year=","venue":null,"work_id":"5e00596e-b354-4008-a9eb-4a6d4210b5ea","year":2011},"citing_paper":{"arxiv_id":"2604.08398","last_updated":"2026-04-09T15:58:30Z","snapshot_observed_at":"2026-07-06T22:57:31.046146Z","submitted_at":"2026-04-09T15:58:30Z","title":"ADAPTive Input Training for Many-to-One Pre-Training on Time-Series Classification","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-10T17:11:45.363802Z"},"links":{"cited_paper":"/paper/2011.11542","citing_paper":"/paper/2604.08398"},"observation_digest":"sha256:71fbdd2b754ddf2b877fba8001908a949d6a13937c62c6f2253c3a81c6ac3339","observation_id":"cb9aae96-afe0-421f-a421-29c3609fec9e","resolution":{"observed_at":"2026-05-11T07:26:00.044071Z","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":"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":"2011.11542","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2011.11542","snapshot_observed_at":"2026-07-03T21:08:58.469710Z","title":"arXiv preprint arXiv:2011.11542 , year=","venue":null,"work_id":"5e00596e-b354-4008-a9eb-4a6d4210b5ea","year":2011},"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":145,"source":"arxiv_source","source_observed_at":"2026-06-27T00:53:11.223341Z"},"links":{"cited_paper":"/paper/2011.11542","citing_paper":"/paper/2606.18147"},"observation_digest":"sha256:1ce4dd8cf19db000fd63f4f763e5014b599014ae6b514fed8a12fcffae41566e","observation_id":"1e32facb-3b71-4be5-a66c-79e633f3e53c","resolution":{"observed_at":"2026-07-03T21:08:58.471072Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2011.11542/citation-record","integrity":"/paper/2011.11542/integrity","json":"/paper/2011.11542/citation-record.json","paper":"/paper/2011.11542"},"outbound":[],"paper":{"arxiv_id":"2011.11542","last_updated":"2021-02-11T05:41:43Z","latest_version":3,"primary_category":"cs.LG","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"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+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 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2011.11542."}