{"as_of":"2026-08-06T15:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:17e88b627c4f1253c4ab564f30427085f529cce6aead8b140ee51b8e7e44ce15","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T17:45:06.731194Z","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":"2026-07-04T00:29:15.673203Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.05698","last_updated":"2022-12-12T04:28:50Z","snapshot_observed_at":"2026-07-06T14:29:20.607029Z","submitted_at":"2022-12-12T04:28:50Z","title":"MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations","version":1},"cited_work":{"arxiv_id":"2212.05698","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.05698","snapshot_observed_at":"2026-07-04T00:29:15.673203Z","title":"Philippe Hansen-Estruch, Ilya Kostrikov, Michael Janner, Jakub Grudzien Kuba, and Sergey Levine","venue":null,"work_id":"ff36f038-a5a3-4898-9feb-6b62851fa36a","year":2022},"citing_paper":{"arxiv_id":"2507.07986","last_updated":"2026-04-30T00:00:17Z","snapshot_observed_at":"2026-08-02T06:26:17.199293Z","submitted_at":"2025-07-10T17:57:46Z","title":"EXPO: Stable Reinforcement Learning with Expressive Policies","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-19T05:09:02.111308Z"},"links":{"cited_paper":"/paper/2212.05698","citing_paper":"/paper/2507.07986"},"observation_digest":"sha256:ab08ec8b2d8ae928a8da1cae04b8b98a7288aa66aa473fee21d82034e1900f23","observation_id":"b74547a7-25b3-4a4a-8b99-a728422674f7","resolution":{"observed_at":"2026-05-19T05:12:05.222370Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.05698","last_updated":"2022-12-12T04:28:50Z","snapshot_observed_at":"2026-07-06T14:29:20.607029Z","submitted_at":"2022-12-12T04:28:50Z","title":"MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations","version":1},"cited_work":{"arxiv_id":"2212.05698","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.05698","snapshot_observed_at":"2026-07-04T00:29:15.673203Z","title":"Philippe Hansen-Estruch, Ilya Kostrikov, Michael Janner, Jakub Grudzien Kuba, and Sergey Levine","venue":null,"work_id":"ff36f038-a5a3-4898-9feb-6b62851fa36a","year":2022},"citing_paper":{"arxiv_id":"2602.11075","last_updated":"2026-04-28T08:51:16Z","snapshot_observed_at":"2026-08-03T04:09:34.408025Z","submitted_at":"2026-02-11T17:43:36Z","title":"RISE: Self-Improving Robot Policy with Compositional World Model","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-16T02:28:37.997148Z"},"links":{"cited_paper":"/paper/2212.05698","citing_paper":"/paper/2602.11075"},"observation_digest":"sha256:1b408ed68b5be091e742b9747a2411d7c13b5ddaf035fbc2a1bd408b8b78c651","observation_id":"6d71fe10-d219-475a-8c8d-7ebb459bed94","resolution":{"observed_at":"2026-05-16T02:30:32.094767Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.05698","last_updated":"2022-12-12T04:28:50Z","snapshot_observed_at":"2026-07-06T14:29:20.607029Z","submitted_at":"2022-12-12T04:28:50Z","title":"MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations","version":1},"cited_work":{"arxiv_id":"2212.05698","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.05698","snapshot_observed_at":"2026-07-04T00:29:15.673203Z","title":"Philippe Hansen-Estruch, Ilya Kostrikov, Michael Janner, Jakub Grudzien Kuba, and Sergey Levine","venue":null,"work_id":"ff36f038-a5a3-4898-9feb-6b62851fa36a","year":2022},"citing_paper":{"arxiv_id":"2606.18888","last_updated":"2026-06-17T10:06:39Z","snapshot_observed_at":"2026-08-05T13:46:13.211287Z","submitted_at":"2026-06-17T10:06:39Z","title":"Generative-Model Predictive Planning for Navigation in Partially Observable Environments","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:07.538574Z"},"links":{"cited_paper":"/paper/2212.05698","citing_paper":"/paper/2606.18888"},"observation_digest":"sha256:fb59c7c5a964f2b73e2af6db3c061e4fda36d30e53ff06896f861b598dcd43e9","observation_id":"bc04672b-726c-4b45-afaa-360962e506b2","resolution":{"observed_at":"2026-07-04T00:29:15.684767Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.05698","last_updated":"2022-12-12T04:28:50Z","snapshot_observed_at":"2026-07-06T14:29:20.607029Z","submitted_at":"2022-12-12T04:28:50Z","title":"MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.05698","snapshot_observed_at":"2026-08-01T17:45:06.731194Z","title":"arXiv preprint arXiv:2212.05698 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.17560","last_updated":"2026-07-20T05:09:36Z","snapshot_observed_at":"2026-08-05T13:38:45.921055Z","submitted_at":"2026-07-20T05:09:36Z","title":"Reinforcement Learning: From Algorithms To Foundation Models","version":1},"reference_index":108,"source":"arxiv_source","source_observed_at":"2026-08-01T17:45:06.731194Z"},"links":{"cited_paper":"/paper/2212.05698","citing_paper":"/paper/2607.17560"},"observation_digest":"sha256:e060c04f58cd12e7727ecc9b288affb804a59cc32f56cf52b4db2e80dc0c3b4a","observation_id":"fe6bc7aa-c9f0-41e7-827e-24de8306df4c","resolution":{"observed_at":"2026-08-01T17:45:06.731194Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2212.05698/citation-record","integrity":"/paper/2212.05698/integrity","json":"/paper/2212.05698/citation-record.json","paper":"/paper/2212.05698"},"outbound":[],"paper":{"arxiv_id":"2212.05698","last_updated":"2022-12-12T04:28:50Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T14:29:20.607029Z","submitted_at":"2022-12-12T04:28:50Z","title":"MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2212.05698."}