{"as_of":"2026-08-08T23:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ca4e19f6b3c6adb29fd4492120d0e56c8c269f93ba5128f4cf994e8df82c77ce","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T12:06:28.094059Z","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":"2026-08-06T19:05:17.642636Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.16468","last_updated":"2023-11-28T04:10:07Z","snapshot_observed_at":"2026-07-06T16:53:35.776613Z","submitted_at":"2023-11-28T04:10:07Z","title":"AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16468","snapshot_observed_at":"2026-08-07T12:06:28.094059Z","title":"AvatarGPT: All-in-One Framework for Motion Understanding, Plan- ning, Generation and Beyond,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.03191","last_updated":"2025-05-31T11:02:24Z","snapshot_observed_at":"2026-08-08T02:50:50.296059Z","submitted_at":"2025-05-31T11:02:24Z","title":"Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T12:06:28.094059Z"},"links":{"cited_paper":"/paper/2311.16468","citing_paper":"/paper/2506.03191"},"observation_digest":"sha256:4bb4fd94a491969ad09acea21130819d44239263867f409fd6d23af6a872e015","observation_id":"502250e9-bde4-468f-88cb-5466b62721b0","resolution":{"observed_at":"2026-08-07T12:06:28.094059Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16468","last_updated":"2023-11-28T04:10:07Z","snapshot_observed_at":"2026-07-06T16:53:35.776613Z","submitted_at":"2023-11-28T04:10:07Z","title":"AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond","version":1},"cited_work":{"arxiv_id":"2311.16468","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.16468","snapshot_observed_at":"2026-08-06T19:05:17.642636Z","title":"AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond","venue":"cs.CV","work_id":"3eecc231-47ea-4437-b402-7126f7797cc5","year":2023},"citing_paper":{"arxiv_id":"2507.06590","last_updated":"2025-07-09T06:51:36Z","snapshot_observed_at":"2026-08-06T18:57:13.941090Z","submitted_at":"2025-07-09T06:51:36Z","title":"MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T19:05:17.605587Z"},"links":{"cited_paper":"/paper/2311.16468","citing_paper":"/paper/2507.06590"},"observation_digest":"sha256:a6200ddcc2b98c8960c99f77e651eb7a557fafcc09d85a145ff534c169946343","observation_id":"ca5481eb-bacb-49ec-bf30-869238a627ac","resolution":{"observed_at":"2026-08-06T19:05:17.648713Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2311.16468/citation-record","integrity":"/paper/2311.16468/integrity","json":"/paper/2311.16468/citation-record.json","paper":"/paper/2311.16468"},"outbound":[],"paper":{"arxiv_id":"2311.16468","last_updated":"2023-11-28T04:10:07Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T16:53:35.776613Z","submitted_at":"2023-11-28T04:10:07Z","title":"AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.16468."}