{"as_of":"2026-08-15T06:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:057c0c2b764e2b1883d5811cf71c1927ef4d8ff5ca7de37405e155ba404c39a2","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":"2026-08-15T06:32:42.880941+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":"2026-08-09T22:47:04.328404Z","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":"2026-08-08T15:02:49.322299Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.08632","last_updated":"2024-10-03T19:13:56Z","snapshot_observed_at":"2026-08-13T05:05:37.114143Z","submitted_at":"2023-12-10T19:53:15Z","title":"Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.08632","snapshot_observed_at":"2026-08-09T22:47:04.328404Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18723","last_updated":"2025-01-30T19:56:04Z","snapshot_observed_at":"2026-08-11T07:53:56.172880Z","submitted_at":"2025-01-30T19:56:04Z","title":"Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T22:47:04.328404Z"},"links":{"cited_paper":"/paper/2401.08632","citing_paper":"/paper/2501.18723"},"observation_digest":"sha256:eb770d99867176eef09cd6650ba02d7187868c0df3d350c861ca6daa1b80ba6b","observation_id":"2468b70f-aeeb-49d2-a685-896d4201c08d","resolution":{"observed_at":"2026-08-09T22:47:04.328404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.08632","last_updated":"2024-10-03T19:13:56Z","snapshot_observed_at":"2026-08-13T05:05:37.114143Z","submitted_at":"2023-12-10T19:53:15Z","title":"Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2401.08632","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.08632","snapshot_observed_at":"2026-08-08T15:02:49.322299Z","title":"Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning","venue":"cs.NE","work_id":"f9093f02-15ca-42fc-85b1-df70e8825915","year":2023},"citing_paper":{"arxiv_id":"2502.06585","last_updated":"2025-02-10T15:52:58Z","snapshot_observed_at":"2026-08-08T15:50:29.543903Z","submitted_at":"2025-02-10T15:52:58Z","title":"Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T15:02:48.988576Z"},"links":{"cited_paper":"/paper/2401.08632","citing_paper":"/paper/2502.06585"},"observation_digest":"sha256:544cf2444a215e7d3b35b8e1c892ef02d41deae56d608ebaa0c67bb388278549","observation_id":"d79e5d90-ba63-45d7-b6f7-7a3f7a32103a","resolution":{"observed_at":"2026-08-08T15:02:49.327166Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2401.08632/citation-record","integrity":"/paper/2401.08632/integrity","json":"/paper/2401.08632/citation-record.json","paper":"/paper/2401.08632"},"outbound":[],"paper":{"arxiv_id":"2401.08632","last_updated":"2024-10-03T19:13:56Z","latest_version":2,"primary_category":"cs.NE","snapshot_observed_at":"2026-08-13T05:05:37.114143Z","submitted_at":"2023-12-10T19:53:15Z","title":"Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.08632."}