{"as_of":"2026-08-11T14:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d360b439c621bb3a04b7afc41b3d3b10bbc8abef99066b6a68b1da68cde3aaec","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T15:12:28.267560Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T12:58:09.392336Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1802.00977","last_updated":"2018-07-02T18:40:46Z","snapshot_observed_at":"2026-08-03T06:01:36.277122Z","submitted_at":"2018-02-03T14:08:36Z","title":"Pose Flow: Efficient Online Pose Tracking","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.00977","snapshot_observed_at":"2026-08-10T15:12:28.267560Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.14439","last_updated":"2025-01-24T12:17:47Z","snapshot_observed_at":"2026-08-10T15:07:06.995942Z","submitted_at":"2025-01-24T12:17:47Z","title":"Optimizing Human Pose Estimation Through Focused Human and Joint Regions","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-10T15:12:28.267560Z"},"links":{"cited_paper":"/paper/1802.00977","citing_paper":"/paper/2501.14439"},"observation_digest":"sha256:adeb6edb3c792a2b4baa2917d2cb3e89ad4659bdd3b4174d7cbb4df13d1b1f59","observation_id":"fa67d6a8-9870-47d7-9a45-79b8200ac4f6","resolution":{"observed_at":"2026-08-10T15:12:28.267560Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.00977","last_updated":"2018-07-02T18:40:46Z","snapshot_observed_at":"2026-08-03T06:01:36.277122Z","submitted_at":"2018-02-03T14:08:36Z","title":"Pose Flow: Efficient Online Pose Tracking","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.00977","snapshot_observed_at":"2026-08-10T14:43:39.162520Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.15073","last_updated":"2025-01-25T04:43:12Z","snapshot_observed_at":"2026-08-10T14:36:34.334096Z","submitted_at":"2025-01-25T04:43:12Z","title":"SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-10T14:43:39.162520Z"},"links":{"cited_paper":"/paper/1802.00977","citing_paper":"/paper/2501.15073"},"observation_digest":"sha256:18e3cb124230ef94cc104cc34f55a8cc8e21b5a5b0322cd0af17b8d91935b29e","observation_id":"57b6241d-71b1-479f-84d7-91993e461e33","resolution":{"observed_at":"2026-08-10T14:43:39.162520Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.00977","last_updated":"2018-07-02T18:40:46Z","snapshot_observed_at":"2026-08-03T06:01:36.277122Z","submitted_at":"2018-02-03T14:08:36Z","title":"Pose Flow: Efficient Online Pose Tracking","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.00977","snapshot_observed_at":"2026-08-06T16:32:42.941746Z","title":"Pose flow: Efficient online pose tracking","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.13311","last_updated":"2026-08-06T06:13:15Z","snapshot_observed_at":"2026-08-09T23:09:14.411315Z","submitted_at":"2025-07-17T17:30:29Z","title":"FashionPose: Unified Text-Driven Fashion Synthesis with Joint Geometric and Photometric Control","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T16:32:42.941746Z"},"links":{"cited_paper":"/paper/1802.00977","citing_paper":"/paper/2507.13311"},"observation_digest":"sha256:d1ef1ceacc8b1629de3381a57cf555363efa38f4b72adbf151e516634ff91ee8","observation_id":"69c32c0f-2864-4e57-95f9-40e160c202ff","resolution":{"observed_at":"2026-08-06T16:32:42.941746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.00977","last_updated":"2018-07-02T18:40:46Z","snapshot_observed_at":"2026-08-03T06:01:36.277122Z","submitted_at":"2018-02-03T14:08:36Z","title":"Pose Flow: Efficient Online Pose Tracking","version":2},"cited_work":{"arxiv_id":"1802.00977","doi":null,"metadata_source":"pith","pith_arxiv_id":"1802.00977","snapshot_observed_at":"2026-08-05T12:58:09.392336Z","title":"Pose Flow: Efficient Online Pose Tracking","venue":"cs.CV","work_id":"c88a830f-8b1b-4360-9db3-0b86ff66711f","year":2018},"citing_paper":{"arxiv_id":"2509.01095","last_updated":"2025-09-01T03:34:57Z","snapshot_observed_at":"2026-08-05T17:33:37.257073Z","submitted_at":"2025-09-01T03:34:57Z","title":"An End-to-End Framework for Video Multi-Person Pose Estimation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T12:58:08.889777Z"},"links":{"cited_paper":"/paper/1802.00977","citing_paper":"/paper/2509.01095"},"observation_digest":"sha256:6e8c8f00a25236259f17f71285e80f58e263f8089084118a24d992c3c9ba4897","observation_id":"83bb42e7-c4a9-4876-b37e-22163ad5418b","resolution":{"observed_at":"2026-08-05T12:58:09.398202Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1802.00977/citation-record","integrity":"/paper/1802.00977/integrity","json":"/paper/1802.00977/citation-record.json","paper":"/paper/1802.00977"},"outbound":[],"paper":{"arxiv_id":"1802.00977","last_updated":"2018-07-02T18:40:46Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-03T06:01:36.277122Z","submitted_at":"2018-02-03T14:08:36Z","title":"Pose Flow: Efficient Online Pose Tracking"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1802.00977."}