{"as_of":"2026-08-09T13:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5d5b8f76564882f8b5018650e7aeef79041d01761294bdb3d6b21fd7188030dd","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T18:56:45.459050Z","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":"2026-08-06T20:47:20.851615Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2009.08319","last_updated":"2021-05-16T20:44:18Z","snapshot_observed_at":"2026-08-07T20:17:34.314733Z","submitted_at":"2020-09-14T19:11:13Z","title":"Decoupling Representation Learning from Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.08319","snapshot_observed_at":"2026-08-08T18:56:45.459050Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.05555","last_updated":"2025-02-08T12:57:02Z","snapshot_observed_at":"2026-08-08T18:50:00.725926Z","submitted_at":"2025-02-08T12:57:02Z","title":"Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-08T18:56:45.459050Z"},"links":{"cited_paper":"/paper/2009.08319","citing_paper":"/paper/2502.05555"},"observation_digest":"sha256:face8951f68d58d786c82bf9deb5a0d5d0ae937d0ca3de0a35d3ef2c63a2e754","observation_id":"514f6e09-893a-4fbf-b856-b59d15a3c057","resolution":{"observed_at":"2026-08-08T18:56:45.459050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.08319","last_updated":"2021-05-16T20:44:18Z","snapshot_observed_at":"2026-08-07T20:17:34.314733Z","submitted_at":"2020-09-14T19:11:13Z","title":"Decoupling Representation Learning from Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.08319","snapshot_observed_at":"2026-08-06T23:34:42.524515Z","title":"Decoupling representation learning from reinforcement learning","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.17518","last_updated":"2025-06-20T23:47:04Z","snapshot_observed_at":"2026-08-09T00:13:56.083722Z","submitted_at":"2025-06-20T23:47:04Z","title":"A Survey of State Representation Learning for Deep Reinforcement Learning","version":1},"reference_index":118,"source":"arxiv_source","source_observed_at":"2026-08-06T23:34:42.524515Z"},"links":{"cited_paper":"/paper/2009.08319","citing_paper":"/paper/2506.17518"},"observation_digest":"sha256:4eb09727a624856183d4fc540d1920872317189b074f879f8fc31dbfd405ab22","observation_id":"70e513b4-07fb-449b-aa89-2401de625026","resolution":{"observed_at":"2026-08-06T23:34:42.524515Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.08319","last_updated":"2021-05-16T20:44:18Z","snapshot_observed_at":"2026-08-07T20:17:34.314733Z","submitted_at":"2020-09-14T19:11:13Z","title":"Decoupling Representation Learning from Reinforcement Learning","version":3},"cited_work":{"arxiv_id":"2009.08319","doi":null,"metadata_source":"pith","pith_arxiv_id":"2009.08319","snapshot_observed_at":"2026-08-06T20:47:20.851615Z","title":"Decoupling Representation Learning from Reinforcement Learning","venue":"cs.LG","work_id":"4b61171b-d725-4aa7-b989-65261fe50ba5","year":2020},"citing_paper":{"arxiv_id":"2507.01823","last_updated":"2025-07-02T15:38:49Z","snapshot_observed_at":"2026-08-09T06:24:30.623687Z","submitted_at":"2025-07-02T15:38:49Z","title":"TD-MPC-Opt: Distilling Model-Based Multi-Task Reinforcement Learning Agents","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T20:47:20.679513Z"},"links":{"cited_paper":"/paper/2009.08319","citing_paper":"/paper/2507.01823"},"observation_digest":"sha256:8e5a038be5c92031837fe4c79c3af2ae0a4db2f4e462d4172fc8c55a8436a301","observation_id":"f2cf4044-61c7-444f-902d-c6a24dd9a4ac","resolution":{"observed_at":"2026-08-06T20:47:20.863019Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2009.08319/citation-record","integrity":"/paper/2009.08319/integrity","json":"/paper/2009.08319/citation-record.json","paper":"/paper/2009.08319"},"outbound":[],"paper":{"arxiv_id":"2009.08319","last_updated":"2021-05-16T20:44:18Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T20:17:34.314733Z","submitted_at":"2020-09-14T19:11:13Z","title":"Decoupling Representation Learning from 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":"2026-08-09T06:31:02.800959+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 3 inbound Pith citation observations for arXiv:2009.08319."}