{"as_of":"2026-08-21T13:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d3a0e779e9fb119704be27790ebdbb9287de54de73643c1503141a0cc73836c2","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":"2026-08-21T06:32:19.484+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":"2026-08-07T23:46:17.482375Z","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":"2026-05-11T05:25:59.110195Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.07160","last_updated":"2023-03-13T09:18:52Z","snapshot_observed_at":"2026-08-16T15:55:24.117818Z","submitted_at":"2023-02-14T16:14:39Z","title":"Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07160","snapshot_observed_at":"2026-08-07T23:46:17.482375Z","title":"Learning a model is paramount for sample efficiency in reinforcement learning control of pdes,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08784","last_updated":"2025-02-14T03:28:20Z","snapshot_observed_at":"2026-08-21T04:12:08.988067Z","submitted_at":"2025-02-12T20:54:46Z","title":"Acoustic Wave Manipulation Through Sparse Robotic Actuation","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T23:46:17.482375Z"},"links":{"cited_paper":"/paper/2302.07160","citing_paper":"/paper/2502.08784"},"observation_digest":"sha256:f1d408aa2c3da9526df352b40b110dfb9d563d8b66a6f5a6736dc72a970bf036","observation_id":"57a5b071-e916-4e3c-964b-e7a7837f86ea","resolution":{"observed_at":"2026-08-07T23:46:17.482375Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07160","last_updated":"2023-03-13T09:18:52Z","snapshot_observed_at":"2026-08-16T15:55:24.117818Z","submitted_at":"2023-02-14T16:14:39Z","title":"Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs","version":2},"cited_work":{"arxiv_id":"2302.07160","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.07160","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning a model is paramount for sample efficiency in reinforcement learning control of pdes","venue":null,"work_id":"624191f5-50af-42ea-b791-693f8e545be8","year":2023},"citing_paper":{"arxiv_id":"2604.06497","last_updated":"2026-04-07T21:58:09Z","snapshot_observed_at":"2026-08-12T12:11:20.261305Z","submitted_at":"2026-04-07T21:58:09Z","title":"Hyperfastrl: Hypernetwork-based reinforcement learning for unified control of parametric chaotic PDEs","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-10T18:09:00.155657Z"},"links":{"cited_paper":"/paper/2302.07160","citing_paper":"/paper/2604.06497"},"observation_digest":"sha256:f3a79fc62c82f8a9b703f2b47c3240522c857d72c9b7f4a33423058f11d98b27","observation_id":"30de372f-ea25-46bb-90cf-2dd92b152616","resolution":{"observed_at":"2026-05-11T05:25:59.119520Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2302.07160/citation-record","integrity":"/paper/2302.07160/integrity","json":"/paper/2302.07160/citation-record.json","paper":"/paper/2302.07160"},"outbound":[],"paper":{"arxiv_id":"2302.07160","last_updated":"2023-03-13T09:18:52Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T15:55:24.117818Z","submitted_at":"2023-02-14T16:14:39Z","title":"Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.07160."}