{"as_of":"2026-08-05T23:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a2540e45bb4cf221c3cbf3cb6d9e4959ad3c54bde368ab90fe7b915755221573","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":"2026-08-05T06:32:48.257954+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":"2026-08-01T17:45:24.995330Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T17:31:06.759274Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.06279","last_updated":"2021-06-11T09:51:29Z","snapshot_observed_at":"2026-07-06T11:18:19.679530Z","submitted_at":"2021-06-11T09:51:29Z","title":"Model-Free Learning for Two-Player Zero-Sum Partially Observable Markov Games with Perfect Recall","version":1},"cited_work":{"arxiv_id":"2106.06279","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.06279","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Model-free learning for two- player zero-sum partially observable markov games with perfect recall.ArXiv, abs/2106.06279","venue":null,"work_id":"b75cda63-2da0-4e70-b25d-ab28fe7e131b","year":2021},"citing_paper":{"arxiv_id":"2605.05266","last_updated":"2026-05-06T09:19:11Z","snapshot_observed_at":"2026-07-06T23:17:52.987860Z","submitted_at":"2026-05-06T09:19:11Z","title":"Differential Privacy in the Extensive-Form Bandit Problem","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-08T17:31:04.833447Z"},"links":{"cited_paper":"/paper/2106.06279","citing_paper":"/paper/2605.05266"},"observation_digest":"sha256:5e74228c1c4f78eb00fa9c8994e61d4b3d29253080edaaa1573e637c89457122","observation_id":"be3e1622-9b34-4ce8-a237-526c8887e770","resolution":{"observed_at":"2026-05-11T17:31:06.761727Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.06279","last_updated":"2021-06-11T09:51:29Z","snapshot_observed_at":"2026-07-06T11:18:19.679530Z","submitted_at":"2021-06-11T09:51:29Z","title":"Model-Free Learning for Two-Player Zero-Sum Partially Observable Markov Games with Perfect Recall","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.06279","snapshot_observed_at":"2026-08-01T17:45:24.995330Z","title":"arXiv preprint arXiv:2106.06279 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.17560","last_updated":"2026-07-20T05:09:36Z","snapshot_observed_at":"2026-08-05T13:38:45.921055Z","submitted_at":"2026-07-20T05:09:36Z","title":"Reinforcement Learning: From Algorithms To Foundation Models","version":1},"reference_index":294,"source":"arxiv_source","source_observed_at":"2026-08-01T17:45:24.995330Z"},"links":{"cited_paper":"/paper/2106.06279","citing_paper":"/paper/2607.17560"},"observation_digest":"sha256:d51926f50b5964c1564aac9c809be152aa05d92c6db9b187866a1a2e6d9f6b69","observation_id":"d0cbba9d-92a7-479c-92e6-6c509352b836","resolution":{"observed_at":"2026-08-01T17:45:24.995330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2106.06279/citation-record","integrity":"/paper/2106.06279/integrity","json":"/paper/2106.06279/citation-record.json","paper":"/paper/2106.06279"},"outbound":[],"paper":{"arxiv_id":"2106.06279","last_updated":"2021-06-11T09:51:29Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-07-06T11:18:19.679530Z","submitted_at":"2021-06-11T09:51:29Z","title":"Model-Free Learning for Two-Player Zero-Sum Partially Observable Markov Games with Perfect Recall"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.06279."}