{"as_of":"2026-08-18T18:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:030eb3127d96e5e445c906ba80d0aba22b75449872ed61d46d00fca47dde92b5","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:25:28.417137Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":11,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.14343","last_updated":"2023-05-30T17:38:44Z","snapshot_observed_at":"2026-08-16T15:30:30.377825Z","submitted_at":"2023-05-23T17:59:33Z","title":"Video Prediction Models as Rewards for Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2305.14343","doi":"10.48550/arxiv.2305.14343","metadata_source":"arxiv_reference","pith_arxiv_id":"2305.14343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"B., Goldberg, K., Lee, Y., Hafner, D., and Abbeel, P","venue":"arXiv (Cornell University)","work_id":"edb1c349-5db0-4661-ac4e-24e74271f8eb","year":2023},"citing_paper":{"arxiv_id":"2310.06114","last_updated":"2024-09-26T17:14:09Z","snapshot_observed_at":"2026-08-13T12:06:46.989903Z","submitted_at":"2023-10-09T19:42:22Z","title":"Learning Interactive Real-World Simulators","version":3},"reference_index":205,"source":"arxiv_source","source_observed_at":"2026-05-16T02:15:18.265190Z"},"links":{"cited_paper":"/paper/2305.14343","citing_paper":"/paper/2310.06114"},"observation_digest":"sha256:8cee0ed8f83be9105e6dfc8a5e85be6f381d36f51a3fd173e5d21a372d945149","observation_id":"bba241ea-1ab6-4af6-9aaf-72358b9b4509","resolution":{"observed_at":"2026-05-16T02:15:18.382006Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14343","last_updated":"2023-05-30T17:38:44Z","snapshot_observed_at":"2026-08-16T15:30:30.377825Z","submitted_at":"2023-05-23T17:59:33Z","title":"Video Prediction Models as Rewards for Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2305.14343","doi":"10.48550/arxiv.2305.14343","metadata_source":"arxiv_reference","pith_arxiv_id":"2305.14343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"B., Goldberg, K., Lee, Y., Hafner, D., and Abbeel, P","venue":"arXiv (Cornell University)","work_id":"edb1c349-5db0-4661-ac4e-24e74271f8eb","year":2023},"citing_paper":{"arxiv_id":"2312.13139","last_updated":"2023-12-21T05:34:23Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-20T16:00:43Z","title":"Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation","version":2},"reference_index":137,"source":"arxiv_source","source_observed_at":"2026-05-13T16:32:05.538507Z"},"links":{"cited_paper":"/paper/2305.14343","citing_paper":"/paper/2312.13139"},"observation_digest":"sha256:6ed38ed217cfd55d0eca09e4e60cfe5c6d5dc0cc3358c75bf6fe88db9b0def32","observation_id":"45e68205-5db5-4d4a-abc9-4e498f6502e6","resolution":{"observed_at":"2026-05-13T16:32:05.693251Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14343","last_updated":"2023-05-30T17:38:44Z","snapshot_observed_at":"2026-08-16T15:30:30.377825Z","submitted_at":"2023-05-23T17:59:33Z","title":"Video Prediction Models as Rewards for Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14343","snapshot_observed_at":"2026-08-07T00:25:28.417137Z","title":"Escontrela, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14198","last_updated":"2025-06-17T05:31:42Z","snapshot_observed_at":"2026-08-13T06:13:03.182338Z","submitted_at":"2025-06-17T05:31:42Z","title":"AMPLIFY: Actionless Motion Priors for Robot Learning from Videos","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-07T00:25:28.417137Z"},"links":{"cited_paper":"/paper/2305.14343","citing_paper":"/paper/2506.14198"},"observation_digest":"sha256:c9ef512a0c67a30e9ef0ab268be8f3ae92f04e9d5cee5b05f0d0720f40c5bdc3","observation_id":"06b9e4bb-35f4-4098-ae1e-4ccbca6613f0","resolution":{"observed_at":"2026-08-07T00:25:28.417137Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14343","last_updated":"2023-05-30T17:38:44Z","snapshot_observed_at":"2026-08-16T15:30:30.377825Z","submitted_at":"2023-05-23T17:59:33Z","title":"Video Prediction Models as Rewards for Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2305.14343","doi":"10.48550/arxiv.2305.14343","metadata_source":"arxiv_reference","pith_arxiv_id":"2305.14343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"B., Goldberg, K., Lee, Y., Hafner, D., and Abbeel, P","venue":"arXiv (Cornell University)","work_id":"edb1c349-5db0-4661-ac4e-24e74271f8eb","year":2023},"citing_paper":{"arxiv_id":"2507.12549","last_updated":"2026-04-28T23:40:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-16T18:01:26Z","title":"The Serial Scaling Hypothesis","version":4},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-19T04:08:11.344622Z"},"links":{"cited_paper":"/paper/2305.14343","citing_paper":"/paper/2507.12549"},"observation_digest":"sha256:e90c175243a4f9bca44065a96492059e9db2cb09320dfe4503dbb7a4247babef","observation_id":"ad244421-e07d-4f5d-b301-bfd419c43474","resolution":{"observed_at":"2026-05-19T04:12:01.951448Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14343","last_updated":"2023-05-30T17:38:44Z","snapshot_observed_at":"2026-08-16T15:30:30.377825Z","submitted_at":"2023-05-23T17:59:33Z","title":"Video Prediction Models as Rewards for Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2305.14343","doi":"10.48550/arxiv.2305.14343","metadata_source":"arxiv_reference","pith_arxiv_id":"2305.14343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"B., Goldberg, K., Lee, Y., Hafner, D., and Abbeel, P","venue":"arXiv (Cornell University)","work_id":"edb1c349-5db0-4661-ac4e-24e74271f8eb","year":2023},"citing_paper":{"arxiv_id":"2605.12090","last_updated":"2026-05-12T13:10:52Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T13:10:52Z","title":"World Action Models: The Next Frontier in Embodied AI","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-13T05:01:16.802019Z"},"links":{"cited_paper":"/paper/2305.14343","citing_paper":"/paper/2605.12090"},"observation_digest":"sha256:b6144849bd6bb59b6a8bab5b177759389b9c6654684ef73e553c6fa3575fd40a","observation_id":"b6e57756-56a3-4435-9c08-f82c8c751187","resolution":{"observed_at":"2026-05-13T05:02:17.824311Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.14343/citation-record","integrity":"/paper/2305.14343/integrity","json":"/paper/2305.14343/citation-record.json","paper":"/paper/2305.14343"},"outbound":[],"paper":{"arxiv_id":"2305.14343","last_updated":"2023-05-30T17:38:44Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T15:30:30.377825Z","submitted_at":"2023-05-23T17:59:33Z","title":"Video Prediction Models as Rewards for 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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.14343."}