{"as_of":"2026-08-23T02:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bb047fc94181ebf2270d7a2e8eb87ed06abd058f65b0e5f9e000a0ca106dc9d7","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":"2026-08-22T06:32:14.747728+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":"2026-08-16T10:41:09.483807Z","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":"2026-07-04T16:49:57.153845Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1901.01536","last_updated":"2019-01-16T17:57:54Z","snapshot_observed_at":"2026-08-18T09:24:21.727380Z","submitted_at":"2019-01-06T13:02:46Z","title":"Exploring applications of deep reinforcement learning for real-world autonomous driving systems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.01536","snapshot_observed_at":"2026-08-16T10:41:09.483807Z","title":"Ravi Kiran, Patrick Mannion, Senthil Kumar Y ogamani, Ahmad El Sallab, and Patrick P ´erez","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2504.17534","last_updated":"2025-04-24T13:20:32Z","snapshot_observed_at":"2026-08-22T03:31:20.480156Z","submitted_at":"2025-04-24T13:20:32Z","title":"Learning Isometric Embeddings of Road Networks using Multidimensional Scaling","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T10:41:09.483807Z"},"links":{"cited_paper":"/paper/1901.01536","citing_paper":"/paper/2504.17534"},"observation_digest":"sha256:c0c9c55d2b97e7b382b25c9091d1eed3f8402aad4e99ef9cf2a17c607a02b262","observation_id":"4095730d-ef4c-4ba9-89aa-bb9c06c20844","resolution":{"observed_at":"2026-08-16T10:41:09.483807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1901.01536","last_updated":"2019-01-16T17:57:54Z","snapshot_observed_at":"2026-08-18T09:24:21.727380Z","submitted_at":"2019-01-06T13:02:46Z","title":"Exploring applications of deep reinforcement learning for real-world autonomous driving systems","version":3},"cited_work":{"arxiv_id":"1901.01536","doi":null,"metadata_source":"pith","pith_arxiv_id":"1901.01536","snapshot_observed_at":"2026-07-04T16:49:57.153845Z","title":"Exploring applications of deep reinforcement learning for real-world autonomous driving systems","venue":"cs.LG","work_id":"02708e7c-44bc-44a1-9095-4a26f4a68970","year":2019},"citing_paper":{"arxiv_id":"2606.24990","last_updated":"2026-06-23T14:42:46Z","snapshot_observed_at":"2026-08-12T13:14:42.468329Z","submitted_at":"2026-06-23T14:42:46Z","title":"Uncertainty-aware reinforcement learning for chemical language models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-26T00:18:03.416401Z"},"links":{"cited_paper":"/paper/1901.01536","citing_paper":"/paper/2606.24990"},"observation_digest":"sha256:8aacafe9cb84cb646b5ab9b772ca2fd1219b0ce2ecd00c2367a96c5d35ffaaa5","observation_id":"62d8326f-6f79-465a-9a07-7bd997964d37","resolution":{"observed_at":"2026-07-04T16:49:57.155057Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1901.01536/citation-record","integrity":"/paper/1901.01536/integrity","json":"/paper/1901.01536/citation-record.json","paper":"/paper/1901.01536"},"outbound":[],"paper":{"arxiv_id":"1901.01536","last_updated":"2019-01-16T17:57:54Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T09:24:21.727380Z","submitted_at":"2019-01-06T13:02:46Z","title":"Exploring applications of deep reinforcement learning for real-world autonomous driving systems"},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1901.01536."}