{"as_of":"2026-08-08T15:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:81abc8d4668a295fa529d25ad59fa24c8b6080db9b4b22357024df2637df065f","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":"2026-08-06T19:18:54.203162Z","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":"2026-08-05T17:23:36.029302Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.04002","last_updated":"2025-05-06T22:29:07Z","snapshot_observed_at":"2026-08-07T15:49:23.101585Z","submitted_at":"2025-05-06T22:29:07Z","title":"PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.04002","snapshot_observed_at":"2026-08-06T19:18:54.203162Z","title":"Parc: Physics-based augmentation with reinforcement learning for character controllers","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.05906","last_updated":"2025-07-15T11:07:33Z","snapshot_observed_at":"2026-08-07T17:01:22.263891Z","submitted_at":"2025-07-08T11:45:51Z","title":"Feature-Based vs. GAN-Based Learning from Demonstrations: When and Why","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T19:18:54.203162Z"},"links":{"cited_paper":"/paper/2505.04002","citing_paper":"/paper/2507.05906"},"observation_digest":"sha256:572845f1f80e7f526228b844338bfff4f399be9a645e5338ffe4dbcf51a7238a","observation_id":"523bbea8-b11d-4035-b11c-210afe24f13f","resolution":{"observed_at":"2026-08-06T19:18:54.203162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.04002","last_updated":"2025-05-06T22:29:07Z","snapshot_observed_at":"2026-08-07T15:49:23.101585Z","submitted_at":"2025-05-06T22:29:07Z","title":"PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers","version":1},"cited_work":{"arxiv_id":"2505.04002","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.04002","snapshot_observed_at":"2026-08-05T17:23:36.029302Z","title":"PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers","venue":"cs.GR","work_id":"9fd60a47-dba7-475a-89a9-e8c20c0b94d8","year":2025},"citing_paper":{"arxiv_id":"2608.03528","last_updated":"2026-08-04T12:12:09Z","snapshot_observed_at":"2026-08-08T14:55:20.788324Z","submitted_at":"2026-08-04T12:12:09Z","title":"Tired Actor: Fatigue-Informed Character Control","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-05T17:23:34.356313Z"},"links":{"cited_paper":"/paper/2505.04002","citing_paper":"/paper/2608.03528"},"observation_digest":"sha256:496320ddfc73e7eb74c9230a03af32ff90b40231940453c15bc821ef24ca1910","observation_id":"72cfc565-9288-43d0-812e-6f1da6870c24","resolution":{"observed_at":"2026-08-05T17:23:36.163407Z","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/2505.04002/citation-record","integrity":"/paper/2505.04002/integrity","json":"/paper/2505.04002/citation-record.json","paper":"/paper/2505.04002"},"outbound":[],"paper":{"arxiv_id":"2505.04002","last_updated":"2025-05-06T22:29:07Z","latest_version":1,"primary_category":"cs.GR","snapshot_observed_at":"2026-08-07T15:49:23.101585Z","submitted_at":"2025-05-06T22:29:07Z","title":"PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers"},"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:2505.04002."}