{"as_of":"2026-08-19T06:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a6f4d0ae9d88a82c3c90a9ac9aa7eb11c2d81ad2a60b5567bc9890f24eeeb537","coverage":[{"denominator":3,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T21:38:43.945071Z","state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.04762/citation-record","integrity":"/paper/2502.04762/integrity","json":"/paper/2502.04762/citation-record.json","paper":"/paper/2502.04762"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2011.13456","last_updated":"2021-02-10T18:17:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-11-26T19:39:10Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.13456","snapshot_observed_at":"2026-08-08T21:38:43.941085Z","title":"arXiv:2011.13456 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.04762","last_updated":"2025-02-07T08:51:14Z","snapshot_observed_at":"2026-08-10T09:36:01.832077Z","submitted_at":"2025-02-07T08:51:14Z","title":"Autoregressive Generation of Static and Growing Trees","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-08T21:38:43.941085Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2502.04762"},"observation_digest":"sha256:61f3da6db84ee579724e5296c58085c3de491aa0b37d10f1563faf59fbadf532","observation_id":"8efe0ad4-f3fb-42d7-beb6-4dda41054dbd","resolution":{"observed_at":"2026-08-08T21:38:43.941085Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T21:38:43.990216Z","title":"In NeurIPS","venue":null,"work_id":"b2460769-7aa3-4c95-8e11-6b03e3762735","year":1984},"citing_paper":{"arxiv_id":"2502.04762","last_updated":"2025-02-07T08:51:14Z","snapshot_observed_at":"2026-08-10T09:36:01.832077Z","submitted_at":"2025-02-07T08:51:14Z","title":"Autoregressive Generation of Static and Growing Trees","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-08T21:38:43.937522Z"},"links":{"citing_paper":"/paper/2502.04762"},"observation_digest":"sha256:e878961982a0895d451f5ecf5704a7da67f65bd6d18dd191d1554a28c4d9d26d","observation_id":"95d5ac9a-8350-4c71-9980-0c5326b2c19f","resolution":{"observed_at":"2026-08-08T21:38:43.994449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01295","last_updated":"2024-10-02T07:42:20Z","snapshot_observed_at":"2026-08-16T13:13:29.135128Z","submitted_at":"2024-10-02T07:42:20Z","title":"LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01295","snapshot_observed_at":"2026-08-08T21:38:43.945071Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04762","last_updated":"2025-02-07T08:51:14Z","snapshot_observed_at":"2026-08-10T09:36:01.832077Z","submitted_at":"2025-02-07T08:51:14Z","title":"Autoregressive Generation of Static and Growing Trees","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-08T21:38:43.945071Z"},"links":{"cited_paper":"/paper/2410.01295","citing_paper":"/paper/2502.04762"},"observation_digest":"sha256:669578ef1d7a97663724320fc5425b61496af619434054edfe0dfe2ebd801859","observation_id":"b78679e6-d176-4991-aef6-330030f6d9f5","resolution":{"observed_at":"2026-08-08T21:38:43.945071Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.04762","last_updated":"2025-02-07T08:51:14Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T09:36:01.832077Z","submitted_at":"2025-02-07T08:51:14Z","title":"Autoregressive Generation of Static and Growing Trees"},"reference_resolution":{"displayed":3,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":1},"total_outbound_references":3},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2502.04762."}