{"as_of":"2026-08-21T15:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6579c8d90a3a620309680bec694700b4de05dd41ef2804968d0430f5895d31ae","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":"2026-08-21T06:32:19.484+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":"2026-08-14T05:11:22.095215Z","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":"2026-08-06T18:44:32.251253Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1805.02513","last_updated":"2018-05-07T13:23:17Z","snapshot_observed_at":"2026-08-14T19:18:04.451311Z","submitted_at":"2018-05-07T13:23:17Z","title":"Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.02513","snapshot_observed_at":"2026-08-14T05:11:22.095215Z","title":"Long-term human motion prediction by modeling motion context and enhancing motion dynamic,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-18T02:15:50.093432Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.095215Z"},"links":{"cited_paper":"/paper/1805.02513","citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:dbfb556a5e4ed99455fa8852f15a8f4548c51bfd39c2f58900fa0ecaad18dac0","observation_id":"2f273cdd-e0d7-4ce0-ad44-ccf06eeaaefe","resolution":{"observed_at":"2026-08-14T05:11:22.095215Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.02513","last_updated":"2018-05-07T13:23:17Z","snapshot_observed_at":"2026-08-14T19:18:04.451311Z","submitted_at":"2018-05-07T13:23:17Z","title":"Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.02513","snapshot_observed_at":"2026-08-10T22:57:30.660142Z","title":"Long-term human motion prediction by modeling motion context and enhancing motion dynamic,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.00317","last_updated":"2024-12-31T07:22:39Z","snapshot_observed_at":"2026-08-20T20:17:12.410270Z","submitted_at":"2024-12-31T07:22:39Z","title":"Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T22:57:30.660142Z"},"links":{"cited_paper":"/paper/1805.02513","citing_paper":"/paper/2501.00317"},"observation_digest":"sha256:441dd49b2b7a0cbe19d7330bfafb60ed698d08614272c679394e8a11a36091a4","observation_id":"2516bad1-440a-442c-a112-fc32a1a53d40","resolution":{"observed_at":"2026-08-10T22:57:30.660142Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.02513","last_updated":"2018-05-07T13:23:17Z","snapshot_observed_at":"2026-08-14T19:18:04.451311Z","submitted_at":"2018-05-07T13:23:17Z","title":"Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.02513","snapshot_observed_at":"2026-08-07T11:59:39.043283Z","title":"Long-term human motion prediction by modeling motion context and enhancing motion dy- namic,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.00915","last_updated":"2025-06-01T09:04:12Z","snapshot_observed_at":"2026-08-15T08:09:07.296336Z","submitted_at":"2025-06-01T09:04:12Z","title":"3D Skeleton-Based Action Recognition: A Review","version":1},"reference_index":272,"source":"pdf_text","source_observed_at":"2026-08-07T11:59:39.043283Z"},"links":{"cited_paper":"/paper/1805.02513","citing_paper":"/paper/2506.00915"},"observation_digest":"sha256:79c4c2a860afb78fdde721ea1f9d93ee31c01124bd0ae0c8450fb6914b9321e8","observation_id":"e13b09a8-44a9-40ee-853b-dd5e8a51bcd7","resolution":{"observed_at":"2026-08-07T11:59:39.043283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.02513","last_updated":"2018-05-07T13:23:17Z","snapshot_observed_at":"2026-08-14T19:18:04.451311Z","submitted_at":"2018-05-07T13:23:17Z","title":"Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.02513","snapshot_observed_at":"2026-08-06T20:01:03.156772Z","title":"Long-term hu- man motion prediction by modeling motion context and en- hancing motion dynamic,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-15T19:21:18.887609Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:03.156772Z"},"links":{"cited_paper":"/paper/1805.02513","citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:38e105385bdb671a8784c796237460c01b8653c41d1846685750a004defbb313","observation_id":"8f685034-35d1-4cf5-99cc-63c50567de81","resolution":{"observed_at":"2026-08-06T20:01:03.156772Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.02513","last_updated":"2018-05-07T13:23:17Z","snapshot_observed_at":"2026-08-14T19:18:04.451311Z","submitted_at":"2018-05-07T13:23:17Z","title":"Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic","version":1},"cited_work":{"arxiv_id":"1805.02513","doi":null,"metadata_source":"pith","pith_arxiv_id":"1805.02513","snapshot_observed_at":"2026-08-06T18:44:32.251253Z","title":"Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic","venue":"cs.CV","work_id":"804ac2a0-7786-4c00-8d0b-6bcc57c367aa","year":2018},"citing_paper":{"arxiv_id":"2507.07515","last_updated":"2025-09-13T15:47:37Z","snapshot_observed_at":"2026-08-19T07:04:20.987529Z","submitted_at":"2025-07-10T08:02:01Z","title":"GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:29.064792Z"},"links":{"cited_paper":"/paper/1805.02513","citing_paper":"/paper/2507.07515"},"observation_digest":"sha256:4f89f50a589aebad4755b7d9afbd5b23f4435fad3dcf7f2f1ad3504dacc4cbe0","observation_id":"16af9007-3f01-46f6-a2e7-eefaf315f078","resolution":{"observed_at":"2026-08-06T18:44:32.312415Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1805.02513/citation-record","integrity":"/paper/1805.02513/integrity","json":"/paper/1805.02513/citation-record.json","paper":"/paper/1805.02513"},"outbound":[],"paper":{"arxiv_id":"1805.02513","last_updated":"2018-05-07T13:23:17Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T19:18:04.451311Z","submitted_at":"2018-05-07T13:23:17Z","title":"Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1805.02513."}