{"as_of":"2026-08-15T17:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e06727b0c479227d9b6868fc09f9044ec0a40c35cfe14c6696c8f47bca471122","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T15:14:01.014887Z","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":"2026-08-14T12:45:11.642373Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1808.05942","last_updated":"2018-08-17T17:56:10Z","snapshot_observed_at":"2026-08-14T18:39:54.845907Z","submitted_at":"2018-08-17T17:56:10Z","title":"Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.05942","snapshot_observed_at":"2026-08-14T15:14:01.014887Z","title":"Neural body ﬁtting: Unifying deep learning and model-based human pose and shape estimation,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.01504","last_updated":"2019-08-05T08:08:56Z","snapshot_observed_at":"2026-08-14T21:52:31.824139Z","submitted_at":"2019-08-05T08:08:56Z","title":"Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:01.014887Z"},"links":{"cited_paper":"/paper/1808.05942","citing_paper":"/paper/1908.01504"},"observation_digest":"sha256:2ad98d3fa63bf4f1e0166d2a9e3ce86042f70c7db2d5599b56a1991a00eb300b","observation_id":"24ad2d20-57d4-44b6-bac7-556cca70eba1","resolution":{"observed_at":"2026-08-14T15:14:01.014887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1808.05942","last_updated":"2018-08-17T17:56:10Z","snapshot_observed_at":"2026-08-14T18:39:54.845907Z","submitted_at":"2018-08-17T17:56:10Z","title":"Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation","version":1},"cited_work":{"arxiv_id":"1808.05942","doi":null,"metadata_source":"pith","pith_arxiv_id":"1808.05942","snapshot_observed_at":"2026-08-14T12:45:11.642373Z","title":"Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation","venue":"cs.CV","work_id":"4d85e3b4-79f1-413f-a066-bcec2f96d695","year":2018},"citing_paper":{"arxiv_id":"1908.06544","last_updated":"2019-08-19T00:27:24Z","snapshot_observed_at":"2026-08-15T09:02:40.181356Z","submitted_at":"2019-08-19T00:27:24Z","title":"HumanMeshNet: Polygonal Mesh Recovery of Humans","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T12:45:11.409986Z"},"links":{"cited_paper":"/paper/1808.05942","citing_paper":"/paper/1908.06544"},"observation_digest":"sha256:8172f15681e14f8e66e61424806d4b5b0173e20d27c34a782432ddbfc93e52a8","observation_id":"acfd6dbf-b24e-4ddd-bee2-74aa4414f636","resolution":{"observed_at":"2026-08-14T12:45:11.648558Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1808.05942/citation-record","integrity":"/paper/1808.05942/integrity","json":"/paper/1808.05942/citation-record.json","paper":"/paper/1808.05942"},"outbound":[],"paper":{"arxiv_id":"1808.05942","last_updated":"2018-08-17T17:56:10Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T18:39:54.845907Z","submitted_at":"2018-08-17T17:56:10Z","title":"Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape 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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1808.05942."}