{"as_of":"2026-08-10T14:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:420910f3d4f7b6222d2ff66aaffed322feea126a67ca53f8468ddb18d29fac16","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":"2026-08-10T06:31:04.303077+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":"2026-08-04T14:42:32.826151Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2010.16011","last_updated":"2021-07-13T05:20:17Z","snapshot_observed_at":"2026-07-06T10:10:03.255419Z","submitted_at":"2020-10-30T00:57:50Z","title":"POMO: Policy Optimization with Multiple Optima for Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.16011","snapshot_observed_at":"2026-08-04T14:42:32.826151Z","title":"Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim, Iljoo Yoon, Seungjai Min, and Youngjune Gwon","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.24256","last_updated":"2026-07-13T05:58:29Z","snapshot_observed_at":"2026-08-09T11:06:42.766870Z","submitted_at":"2025-09-29T04:05:48Z","title":"Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:32.826151Z"},"links":{"cited_paper":"/paper/2010.16011","citing_paper":"/paper/2509.24256"},"observation_digest":"sha256:1d851c0cb50881bbde4eca687222d8d288efcbbc13af2673b44cea4764ebfc0d","observation_id":"12809fda-a74d-44d7-920a-7a48c6ad1604","resolution":{"observed_at":"2026-08-04T14:42:32.826151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2010.16011/citation-record","integrity":"/paper/2010.16011/integrity","json":"/paper/2010.16011/citation-record.json","paper":"/paper/2010.16011"},"outbound":[],"paper":{"arxiv_id":"2010.16011","last_updated":"2021-07-13T05:20:17Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T10:10:03.255419Z","submitted_at":"2020-10-30T00:57:50Z","title":"POMO: Policy Optimization with Multiple Optima for 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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2010.16011."}