{"as_of":"2026-08-18T09:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:574030a34646a7ebed02f2410c5a699595135a9c81c94adb21754e438368c004","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":"2026-08-16T01:04:38.644183Z","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":"2026-08-16T01:04:40.418954Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2006.12484","last_updated":"2020-10-25T03:22:02Z","snapshot_observed_at":"2026-08-11T05:34:25.508456Z","submitted_at":"2020-06-22T17:58:54Z","title":"Sample-Efficient Reinforcement Learning of Undercomplete POMDPs","version":2},"cited_work":{"arxiv_id":"2006.12484","doi":null,"metadata_source":"pith","pith_arxiv_id":"2006.12484","snapshot_observed_at":"2026-08-16T01:04:40.418954Z","title":"Sample-Efficient Reinforcement Learning of Undercomplete POMDPs","venue":"cs.LG","work_id":"c7aa0b8e-7f40-455d-b743-993d2769d1d0","year":2020},"citing_paper":{"arxiv_id":"2505.02216","last_updated":"2025-05-12T03:34:54Z","snapshot_observed_at":"2026-08-18T00:22:52.221802Z","submitted_at":"2025-05-04T18:59:07Z","title":"LLM-Guided Probabilistic Program Induction for POMDP Model Estimation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T01:04:38.644183Z"},"links":{"cited_paper":"/paper/2006.12484","citing_paper":"/paper/2505.02216"},"observation_digest":"sha256:b49d545b0062efac3451d422d9fca1cd155cbd93b3ba9ab1aaf2c4050ea78cb8","observation_id":"06f988f6-2c20-4399-b431-29952f66eff1","resolution":{"observed_at":"2026-08-16T01:04:40.426696Z","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/2006.12484/citation-record","integrity":"/paper/2006.12484/integrity","json":"/paper/2006.12484/citation-record.json","paper":"/paper/2006.12484"},"outbound":[],"paper":{"arxiv_id":"2006.12484","last_updated":"2020-10-25T03:22:02Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T05:34:25.508456Z","submitted_at":"2020-06-22T17:58:54Z","title":"Sample-Efficient Reinforcement Learning of Undercomplete POMDPs"},"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:2006.12484."}