{"as_of":"2026-08-21T14:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b2dbd97c86f1fb33db26f4bc3e5fa8a2e1bbe270b84a9b8e53587491d5feddb0","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":"2026-08-14T05:18:08.705779Z","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":"2026-05-23T07:22:43.354835Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1811.06626","last_updated":"2018-11-15T23:23:36Z","snapshot_observed_at":"2026-08-19T00:48:01.601611Z","submitted_at":"2018-11-15T23:23:36Z","title":"The Utility of Sparse Representations for Control in Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.06626","snapshot_observed_at":"2026-08-14T05:18:08.705779Z","title":"The utility of sparse representations for control in reinforcement learning","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.01575","last_updated":"2019-09-04T06:58:32Z","snapshot_observed_at":"2026-08-17T01:16:48.278864Z","submitted_at":"2019-09-04T06:58:32Z","title":"Learning sparse representations in reinforcement learning","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-14T05:18:08.705779Z"},"links":{"cited_paper":"/paper/1811.06626","citing_paper":"/paper/1909.01575"},"observation_digest":"sha256:268ae0cfbef9898747a857e056e3af9e410241928a31ba2853978f5bfba40a1b","observation_id":"59713e3b-51cf-40ce-bd0f-ed2124ed25a3","resolution":{"observed_at":"2026-08-14T05:18:08.705779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.06626","last_updated":"2018-11-15T23:23:36Z","snapshot_observed_at":"2026-08-19T00:48:01.601611Z","submitted_at":"2018-11-15T23:23:36Z","title":"The Utility of Sparse Representations for Control in Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"1811.06626","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.06626","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The Utility of Sparse Representations for Control in Reinforcement Learning","venue":"cs.LG","work_id":"5df0a06b-8510-415b-85cb-9cd49a0bb57c","year":2018},"citing_paper":{"arxiv_id":"2412.08893","last_updated":"2026-05-05T23:38:18Z","snapshot_observed_at":"2026-07-06T20:05:36.919481Z","submitted_at":"2024-12-12T03:14:47Z","title":"Optimal Control with Natural Images: Efficient Reinforcement Learning using Overcomplete Sparse Codes","version":3},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-05-23T07:19:39.231145Z"},"links":{"cited_paper":"/paper/1811.06626","citing_paper":"/paper/2412.08893"},"observation_digest":"sha256:3bb4734292be7845f2f3bb3bd6e6d25d5c3c9801687540c8947d7a10812f0a8c","observation_id":"857466f3-50d2-4c96-b73e-1ee149f6e565","resolution":{"observed_at":"2026-05-23T07:22:43.357401Z","resolver_source":"local_arxiv","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/1811.06626/citation-record","integrity":"/paper/1811.06626/integrity","json":"/paper/1811.06626/citation-record.json","paper":"/paper/1811.06626"},"outbound":[],"paper":{"arxiv_id":"1811.06626","last_updated":"2018-11-15T23:23:36Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T00:48:01.601611Z","submitted_at":"2018-11-15T23:23:36Z","title":"The Utility of Sparse Representations for Control in Reinforcement Learning"},"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:1811.06626."}