{"as_of":"2026-08-09T13:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dd4f7c20aff0a924bb0381ea5d36f6cc17d733e9f1a4372f2ba9c60af67110c7","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":"2026-08-09T06:31:02.800959+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":"2026-08-04T19:17:00.618338Z","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":"2410.02511","last_updated":"2026-05-30T09:14:19Z","snapshot_observed_at":"2026-07-06T19:27:03.209340Z","submitted_at":"2024-10-03T14:21:23Z","title":"Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.02511","snapshot_observed_at":"2026-08-04T19:17:00.618338Z","title":"arXiv preprint arXiv:2410.02511 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09356","last_updated":"2025-09-11T11:10:08Z","snapshot_observed_at":"2026-08-08T20:32:38.112377Z","submitted_at":"2025-09-11T11:10:08Z","title":"Curriculum-Based Multi-Tier Semantic Exploration via Deep Reinforcement Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T19:17:00.618338Z"},"links":{"cited_paper":"/paper/2410.02511","citing_paper":"/paper/2509.09356"},"observation_digest":"sha256:78099d54845d88735bd76c8b7b8577ebfe780c9d59bd27a3cb4355107d1ebb7a","observation_id":"fe1d39d1-e8b3-4d63-a403-613df6ddc5ea","resolution":{"observed_at":"2026-08-04T19:17:00.618338Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.02511","last_updated":"2026-05-30T09:14:19Z","snapshot_observed_at":"2026-07-06T19:27:03.209340Z","submitted_at":"2024-10-03T14:21:23Z","title":"Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.02511","snapshot_observed_at":"2026-08-04T13:52:23.440920Z","title":"Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.24575","last_updated":"2026-06-30T15:42:35Z","snapshot_observed_at":"2026-08-08T07:36:53.640015Z","submitted_at":"2025-09-29T10:29:18Z","title":"Prompting Robot Teams with Natural Language","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T13:52:23.440920Z"},"links":{"cited_paper":"/paper/2410.02511","citing_paper":"/paper/2509.24575"},"observation_digest":"sha256:54776685da66a84c666c380ca2919e3a1da654655ac1fe75a1be7ad780170adb","observation_id":"f538087f-e9d4-4ac8-b601-f9f35ea31906","resolution":{"observed_at":"2026-08-04T13:52:23.440920Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.02511/citation-record","integrity":"/paper/2410.02511/integrity","json":"/paper/2410.02511/citation-record.json","paper":"/paper/2410.02511"},"outbound":[],"paper":{"arxiv_id":"2410.02511","last_updated":"2026-05-30T09:14:19Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T19:27:03.209340Z","submitted_at":"2024-10-03T14:21:23Z","title":"Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.02511."}