{"as_of":"2026-08-09T11:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d4a3de9126d921985f36e284a07e1951c5a45046c69a1f3e703568203a41773b","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:23:34.364261Z","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":"2026-08-06T18:16:30.548575Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1406.2984","last_updated":"2014-09-17T22:43:45Z","snapshot_observed_at":"2026-07-06T03:46:05.904156Z","submitted_at":"2014-06-11T18:16:29Z","title":"Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation","version":2},"cited_work":{"arxiv_id":"1406.2984","doi":"10.48550/arxiv.1406.2984","metadata_source":"pith","pith_arxiv_id":"1406.2984","snapshot_observed_at":"2026-08-06T18:16:30.548575Z","title":"Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation","venue":"cs.CV","work_id":"547a2dca-d531-45e5-a0c2-cab0a233fdda","year":2014},"citing_paper":{"arxiv_id":"2507.11075","last_updated":"2026-05-29T02:04:29Z","snapshot_observed_at":"2026-08-06T17:14:27.176109Z","submitted_at":"2025-07-15T08:16:39Z","title":"Joint angle based learning to refine kinematic human pose estimation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T17:23:34.364261Z"},"links":{"cited_paper":"/paper/1406.2984","citing_paper":"/paper/2507.11075"},"observation_digest":"sha256:cacea0e9bfd38b5e5ebda74f731eec40c2b6fe3c53f3b01cbdd18deae206a77a","observation_id":"007965fb-8c6f-4237-981f-d686aeba4f10","resolution":{"observed_at":"2026-08-06T17:23:40.840699Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1406.2984/citation-record","integrity":"/paper/1406.2984/integrity","json":"/paper/1406.2984/citation-record.json","paper":"/paper/1406.2984"},"outbound":[],"paper":{"arxiv_id":"1406.2984","last_updated":"2014-09-17T22:43:45Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T03:46:05.904156Z","submitted_at":"2014-06-11T18:16:29Z","title":"Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1406.2984."}