{"as_of":"2026-08-22T11:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6ff9cc4916b3c559813c96f78a0ee5c4259d592393edcaf29fecbc40d260a235","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T01:10:35.732344Z","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":"2026-08-10T23:21:18.768971Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.03913","last_updated":"2024-07-14T23:00:54Z","snapshot_observed_at":"2026-08-21T21:36:23.765699Z","submitted_at":"2023-12-06T21:14:20Z","title":"Controllable Human-Object Interaction Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03913","snapshot_observed_at":"2026-08-11T05:58:56.561283Z","title":"Con- trollable human-object interaction synthesis","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.16982","last_updated":"2024-12-22T11:53:51Z","snapshot_observed_at":"2026-08-19T08:21:43.178083Z","submitted_at":"2024-12-22T11:53:51Z","title":"InterDance:Reactive 3D Dance Generation with Realistic Duet Interactions","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-11T05:58:56.561283Z"},"links":{"cited_paper":"/paper/2312.03913","citing_paper":"/paper/2412.16982"},"observation_digest":"sha256:0deef43371e437b114de539e3a23029fb782f05be83a83d6e39437d3ed214803","observation_id":"75eb343c-83f3-402b-8007-2343d33818ad","resolution":{"observed_at":"2026-08-11T05:58:56.561283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03913","last_updated":"2024-07-14T23:00:54Z","snapshot_observed_at":"2026-08-21T21:36:23.765699Z","submitted_at":"2023-12-06T21:14:20Z","title":"Controllable Human-Object Interaction Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03913","snapshot_observed_at":"2026-08-11T05:19:18.960179Z","title":"Controllable human-object interaction synthesis","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.17730","last_updated":"2024-12-23T17:27:30Z","snapshot_observed_at":"2026-08-13T02:38:10.559377Z","submitted_at":"2024-12-23T17:27:30Z","title":"Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T05:19:18.960179Z"},"links":{"cited_paper":"/paper/2312.03913","citing_paper":"/paper/2412.17730"},"observation_digest":"sha256:fb59a66ea0eaa22603a0b4d3dcf847ae894fb9a7ddefce6d1bd2766bdd9a9838","observation_id":"4d63c9b5-00e2-4028-abe4-7f455b7d5829","resolution":{"observed_at":"2026-08-11T05:19:18.960179Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03913","last_updated":"2024-07-14T23:00:54Z","snapshot_observed_at":"2026-08-21T21:36:23.765699Z","submitted_at":"2023-12-06T21:14:20Z","title":"Controllable Human-Object Interaction Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03913","snapshot_observed_at":"2026-08-10T23:38:23.254832Z","title":"Controllable human-object interaction synthesis","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.254832Z"},"links":{"cited_paper":"/paper/2312.03913","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:dcbe6553b2d4b044b5f0eab530321a561f11a46b77306682750b5e88e18b0e20","observation_id":"ea7667e7-043d-4695-ac36-579c94c7e4f5","resolution":{"observed_at":"2026-08-10T23:38:23.254832Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03913","last_updated":"2024-07-14T23:00:54Z","snapshot_observed_at":"2026-08-21T21:36:23.765699Z","submitted_at":"2023-12-06T21:14:20Z","title":"Controllable Human-Object Interaction Synthesis","version":2},"cited_work":{"arxiv_id":"2312.03913","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.03913","snapshot_observed_at":"2026-08-10T23:21:18.768971Z","title":"Controllable Human-Object Interaction Synthesis","venue":"cs.CV","work_id":"10ba257e-6270-486d-bcdb-f96ea36c6ee0","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-19T08:21:43.054048Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.328924Z"},"links":{"cited_paper":"/paper/2312.03913","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:8bd108c773584773d46593106273467ffcc2b4de7bf840269cd1bee52dfe0aaf","observation_id":"428a6076-9a80-4ad4-b818-8d2269ed2f8e","resolution":{"observed_at":"2026-08-10T23:21:18.777208Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03913","last_updated":"2024-07-14T23:00:54Z","snapshot_observed_at":"2026-08-21T21:36:23.765699Z","submitted_at":"2023-12-06T21:14:20Z","title":"Controllable Human-Object Interaction Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03913","snapshot_observed_at":"2026-08-16T01:10:35.732344Z","title":"ACM Transactions on Graphics (TOG) 21, 3 (2002), 491–500","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2505.02094","last_updated":"2025-05-04T13:00:29Z","snapshot_observed_at":"2026-08-21T21:35:55.207054Z","submitted_at":"2025-05-04T13:00:29Z","title":"SkillMimic-V2: Learning Robust and Generalizable Interaction Skills from Sparse and Noisy Demonstrations","version":1},"reference_index":2002,"source":"pdf_text","source_observed_at":"2026-08-16T01:10:35.732344Z"},"links":{"cited_paper":"/paper/2312.03913","citing_paper":"/paper/2505.02094"},"observation_digest":"sha256:3cf34cc7519c7599689d61e6c2d35a61b76cf9781b33b959cc88fe32bbbd327f","observation_id":"d0305faa-8f5a-42f5-8063-02b12595c318","resolution":{"observed_at":"2026-08-16T01:10:35.732344Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03913","last_updated":"2024-07-14T23:00:54Z","snapshot_observed_at":"2026-08-21T21:36:23.765699Z","submitted_at":"2023-12-06T21:14:20Z","title":"Controllable Human-Object Interaction Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03913","snapshot_observed_at":"2026-08-15T20:32:42.876622Z","title":"Controllable human-object interaction synthesis,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.12774","last_updated":"2025-05-19T07:02:12Z","snapshot_observed_at":"2026-08-19T08:21:41.884064Z","submitted_at":"2025-05-19T07:02:12Z","title":"UniHM: Universal Human Motion Generation with Object Interactions in Indoor Scenes","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T20:32:42.876622Z"},"links":{"cited_paper":"/paper/2312.03913","citing_paper":"/paper/2505.12774"},"observation_digest":"sha256:ba38cad9a66dd01ec170fb7f1caaccbb16c675659c01377e9ab825bacbfeb1c5","observation_id":"814aba81-2db2-411a-a752-ac03daad1f36","resolution":{"observed_at":"2026-08-15T20:32:42.876622Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03913","last_updated":"2024-07-14T23:00:54Z","snapshot_observed_at":"2026-08-21T21:36:23.765699Z","submitted_at":"2023-12-06T21:14:20Z","title":"Controllable Human-Object Interaction Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03913","snapshot_observed_at":"2026-08-04T18:57:10.377790Z","title":"Controllable human-object in- teraction synthesis.arXiv preprint arXiv:2312.03913, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09555","last_updated":"2025-09-11T15:43:54Z","snapshot_observed_at":"2026-08-11T05:10:24.960754Z","submitted_at":"2025-09-11T15:43:54Z","title":"InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T18:57:10.377790Z"},"links":{"cited_paper":"/paper/2312.03913","citing_paper":"/paper/2509.09555"},"observation_digest":"sha256:441ac64c801e5ffeb599643ad43892411c5d5be53311c518552c220a23b54a21","observation_id":"886a2d0b-8589-4447-a24f-14718772ce88","resolution":{"observed_at":"2026-08-04T18:57:10.377790Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2312.03913/citation-record","integrity":"/paper/2312.03913/integrity","json":"/paper/2312.03913/citation-record.json","paper":"/paper/2312.03913"},"outbound":[],"paper":{"arxiv_id":"2312.03913","last_updated":"2024-07-14T23:00:54Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-21T21:36:23.765699Z","submitted_at":"2023-12-06T21:14:20Z","title":"Controllable Human-Object Interaction Synthesis"},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2312.03913."}