{"as_of":"2026-08-14T09:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d62c2693e2830fcb59072ee7e5f58c0c5e23535fdc92439a853d45ece0ac8d55","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":"2026-08-14T06:32:32.682623+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":"2026-08-10T16:25:25.077416Z","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":"2026-08-10T16:25:25.175975Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2211.02127","last_updated":"2023-05-16T15:17:46Z","snapshot_observed_at":"2026-08-13T13:49:47.086860Z","submitted_at":"2022-11-03T20:02:45Z","title":"Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation","version":3},"cited_work":{"arxiv_id":"2211.02127","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.02127","snapshot_observed_at":"2026-08-10T16:25:25.175975Z","title":"Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation","venue":"cs.MA","work_id":"3b3ec4fe-dac2-4124-91f6-ffdfe4fe195a","year":2022},"citing_paper":{"arxiv_id":"2501.13200","last_updated":"2025-01-22T20:08:53Z","snapshot_observed_at":"2026-08-13T21:22:44.791806Z","submitted_at":"2025-01-22T20:08:53Z","title":"SRMT: Shared Memory for Multi-agent Lifelong Pathfinding","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:25.077416Z"},"links":{"cited_paper":"/paper/2211.02127","citing_paper":"/paper/2501.13200"},"observation_digest":"sha256:6f600b5607560face5352a385fcb7314473255fb8dfcc8150e6170a64c8d449c","observation_id":"d2833f95-661c-4e4d-9bb4-d2a6d83f4b7c","resolution":{"observed_at":"2026-08-10T16:25:25.183908Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2211.02127/citation-record","integrity":"/paper/2211.02127/integrity","json":"/paper/2211.02127/citation-record.json","paper":"/paper/2211.02127"},"outbound":[],"paper":{"arxiv_id":"2211.02127","last_updated":"2023-05-16T15:17:46Z","latest_version":3,"primary_category":"cs.MA","snapshot_observed_at":"2026-08-13T13:49:47.086860Z","submitted_at":"2022-11-03T20:02:45Z","title":"Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2211.02127."}