{"as_of":"2026-08-18T13:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3d80bf8d49c03ae23e52c13a1e4c6fb56af93d7d1655a4b99b826e736606ee27","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:43:53.921759Z","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":"2026-08-15T21:43:55.162404Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.10825","last_updated":"2023-02-21T17:00:05Z","snapshot_observed_at":"2026-08-18T10:28:41.817740Z","submitted_at":"2023-02-21T17:00:05Z","title":"Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2302.10825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.10825","snapshot_observed_at":"2026-08-15T21:43:55.162404Z","title":"Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement Learning","venue":"cs.AI","work_id":"76546dab-0822-4ea5-b7b3-f34c2630c213","year":2023},"citing_paper":{"arxiv_id":"2505.09205","last_updated":"2025-05-14T07:34:36Z","snapshot_observed_at":"2026-08-18T07:27:01.523032Z","submitted_at":"2025-05-14T07:34:36Z","title":"HMamba: Hyperbolic Mamba for Sequential Recommendation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T21:43:53.921759Z"},"links":{"cited_paper":"/paper/2302.10825","citing_paper":"/paper/2505.09205"},"observation_digest":"sha256:c9da77eeaa2edd97a45e79b1f01cebd4d1d33225052be14c097bfe5bcda60792","observation_id":"36a8fe2c-d256-4a13-95fb-0354fe4c5900","resolution":{"observed_at":"2026-08-15T21:43:55.199412Z","resolver_source":"local_arxiv","status":"verified_exact"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2302.10825/citation-record","integrity":"/paper/2302.10825/integrity","json":"/paper/2302.10825/citation-record.json","paper":"/paper/2302.10825"},"outbound":[],"paper":{"arxiv_id":"2302.10825","last_updated":"2023-02-21T17:00:05Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-18T10:28:41.817740Z","submitted_at":"2023-02-21T17:00:05Z","title":"Curiosity-driven Exploration in Sparse-reward Multi-agent 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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2302.10825."}