{"as_of":"2026-08-10T13:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d562ae642762d965c841eabe4a9266d17ab77a4fdc86f46a9c652d84b97b567c","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T02:13:34.358132Z","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":"2026-07-02T16:47:10.267258Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.05927","last_updated":"2024-04-18T18:48:44Z","snapshot_observed_at":"2026-07-06T16:17:15.557570Z","submitted_at":"2023-09-12T02:59:26Z","title":"Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals","version":2},"cited_work":{"arxiv_id":"2309.05927","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.05927","snapshot_observed_at":"2026-07-02T16:47:10.267258Z","title":"Frequency-aware masked autoencoders for multimodal pretraining on biosignals","venue":null,"work_id":"98c1a15d-4d56-4745-acda-bfe20c0c3824","year":2023},"citing_paper":{"arxiv_id":"2605.08685","last_updated":"2026-05-09T04:49:56Z","snapshot_observed_at":"2026-08-02T14:44:33.851541Z","submitted_at":"2026-05-09T04:49:56Z","title":"Event Fields: Learning Latent Event Structure for Waveform Foundation Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-12T01:16:48.039349Z"},"links":{"cited_paper":"/paper/2309.05927","citing_paper":"/paper/2605.08685"},"observation_digest":"sha256:94651a5ef6540eb0b4a73460c575e35e8030ffc699965052691a860bda53f218","observation_id":"838d6f2d-d037-4bdc-bca5-bb426377bd43","resolution":{"observed_at":"2026-05-12T08:06:32.002193Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.05927","last_updated":"2024-04-18T18:48:44Z","snapshot_observed_at":"2026-07-06T16:17:15.557570Z","submitted_at":"2023-09-12T02:59:26Z","title":"Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals","version":2},"cited_work":{"arxiv_id":"2309.05927","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.05927","snapshot_observed_at":"2026-07-02T16:47:10.267258Z","title":"Frequency-aware masked autoencoders for multimodal pretraining on biosignals","venue":null,"work_id":"98c1a15d-4d56-4745-acda-bfe20c0c3824","year":2023},"citing_paper":{"arxiv_id":"2606.06328","last_updated":"2026-06-04T16:04:21Z","snapshot_observed_at":"2026-08-06T12:45:10.390390Z","submitted_at":"2026-06-04T16:04:21Z","title":"PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-28T02:13:34.358132Z"},"links":{"cited_paper":"/paper/2309.05927","citing_paper":"/paper/2606.06328"},"observation_digest":"sha256:edaa0a12a9945ec3fdc43c8e58dd7eeb16d4f33489303f5e6d809fd0d54eef2d","observation_id":"e6979001-22f3-4ce2-b7b5-21ae6caccdef","resolution":{"observed_at":"2026-07-02T12:16:57.557626Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.05927","last_updated":"2024-04-18T18:48:44Z","snapshot_observed_at":"2026-07-06T16:17:15.557570Z","submitted_at":"2023-09-12T02:59:26Z","title":"Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals","version":2},"cited_work":{"arxiv_id":"2309.05927","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.05927","snapshot_observed_at":"2026-07-02T16:47:10.267258Z","title":"Frequency-aware masked autoencoders for multimodal pretraining on biosignals","venue":null,"work_id":"98c1a15d-4d56-4745-acda-bfe20c0c3824","year":2023},"citing_paper":{"arxiv_id":"2606.07365","last_updated":"2026-06-05T15:08:50Z","snapshot_observed_at":"2026-08-08T07:49:20.495925Z","submitted_at":"2026-06-05T15:08:50Z","title":"A robust PPG foundation model using multimodal physiological supervision","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T22:20:51.569973Z"},"links":{"cited_paper":"/paper/2309.05927","citing_paper":"/paper/2606.07365"},"observation_digest":"sha256:2465b99f30ee3660e20c2f28ea055b80d0876f06d2259832f7470ccdedff31a5","observation_id":"ca007f21-bcfa-466f-b958-747351ed9ae5","resolution":{"observed_at":"2026-07-02T16:47:10.268978Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.05927/citation-record","integrity":"/paper/2309.05927/integrity","json":"/paper/2309.05927/citation-record.json","paper":"/paper/2309.05927"},"outbound":[],"paper":{"arxiv_id":"2309.05927","last_updated":"2024-04-18T18:48:44Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T16:17:15.557570Z","submitted_at":"2023-09-12T02:59:26Z","title":"Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.05927."}