{"as_of":"2026-08-09T12:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:001a71b579b8f1233600d2b3b2a02da70ecb38fbaf5a8df5950882ab808304b0","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T21:02:04.314098Z","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":2,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.08533","last_updated":"2024-03-27T09:11:48Z","snapshot_observed_at":"2026-08-06T09:23:30.469618Z","submitted_at":"2023-12-13T21:46:09Z","title":"World Models via Policy-Guided Trajectory Diffusion","version":4},"cited_work":{"arxiv_id":"2312.08533","doi":"10.48550/arxiv.2312.08533","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.08533","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Rigter, J","venue":"arXiv (Cornell University)","work_id":"e49877ab-0831-442f-9af6-b95e0d035b4d","year":2023},"citing_paper":{"arxiv_id":"2409.00588","last_updated":"2024-12-09T21:30:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-01T02:47:50Z","title":"Diffusion Policy Policy Optimization","version":3},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-16T08:48:14.776754Z"},"links":{"cited_paper":"/paper/2312.08533","citing_paper":"/paper/2409.00588"},"observation_digest":"sha256:a63e1df3b029a81063de110eb346d226a4f559e2da79cb380bd26b2cb24d264e","observation_id":"663e197e-a569-400a-8227-212c98c82aeb","resolution":{"observed_at":"2026-05-16T08:48:14.987049Z","resolver_source":"arxiv_id","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":"2026-05-24T01:24:00.542702+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T01:24:00.542702+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.08533","last_updated":"2024-03-27T09:11:48Z","snapshot_observed_at":"2026-08-06T09:23:30.469618Z","submitted_at":"2023-12-13T21:46:09Z","title":"World Models via Policy-Guided Trajectory Diffusion","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.08533","snapshot_observed_at":"2026-08-05T21:02:04.314098Z","title":"World models via policy-guided trajectory diffusion,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.09561","last_updated":"2025-08-13T07:29:40Z","snapshot_observed_at":"2026-08-09T02:42:53.914860Z","submitted_at":"2025-08-13T07:29:40Z","title":"Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-05T21:02:04.314098Z"},"links":{"cited_paper":"/paper/2312.08533","citing_paper":"/paper/2508.09561"},"observation_digest":"sha256:f634bf785b2a60a76ac50b3cd6bc18754495a6a0040cab956060c6d4f99dc2f0","observation_id":"c53049be-15db-4a3c-acdf-fbe05de42a8a","resolution":{"observed_at":"2026-08-05T21:02:04.314098Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.08533","last_updated":"2024-03-27T09:11:48Z","snapshot_observed_at":"2026-08-06T09:23:30.469618Z","submitted_at":"2023-12-13T21:46:09Z","title":"World Models via Policy-Guided Trajectory Diffusion","version":4},"cited_work":{"arxiv_id":"2312.08533","doi":"10.48550/arxiv.2312.08533","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.08533","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Rigter, J","venue":"arXiv (Cornell University)","work_id":"e49877ab-0831-442f-9af6-b95e0d035b4d","year":2023},"citing_paper":{"arxiv_id":"2509.19538","last_updated":"2026-05-13T08:29:03Z","snapshot_observed_at":"2026-07-06T22:30:36.671861Z","submitted_at":"2025-09-23T20:06:26Z","title":"DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-18T13:55:16.513839Z"},"links":{"cited_paper":"/paper/2312.08533","citing_paper":"/paper/2509.19538"},"observation_digest":"sha256:5c4773e17986ca9c164952eb4ed0573c03d827cba47fe86ff67754c4bcb52e1a","observation_id":"ba367bc1-98a2-4858-834a-7ef6aadec38d","resolution":{"observed_at":"2026-05-18T13:56:26.226868Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2026-05-24T01:24:00.542702+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T01:24:00.542702+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.08533","last_updated":"2024-03-27T09:11:48Z","snapshot_observed_at":"2026-08-06T09:23:30.469618Z","submitted_at":"2023-12-13T21:46:09Z","title":"World Models via Policy-Guided Trajectory Diffusion","version":4},"cited_work":{"arxiv_id":"2312.08533","doi":"10.48550/arxiv.2312.08533","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.08533","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Rigter, J","venue":"arXiv (Cornell University)","work_id":"e49877ab-0831-442f-9af6-b95e0d035b4d","year":2023},"citing_paper":{"arxiv_id":"2511.03828","last_updated":"2026-05-17T20:29:17Z","snapshot_observed_at":"2026-08-01T05:50:04.658635Z","submitted_at":"2025-11-05T19:48:46Z","title":"From Static Constraints to Dynamic Adaptation: Sample-Level Constraint Relaxation for Offline-to-Online Reinforcement Learning","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-18T00:36:32.681470Z"},"links":{"cited_paper":"/paper/2312.08533","citing_paper":"/paper/2511.03828"},"observation_digest":"sha256:c21537f55dd1c1abd8278a8e44ff3664152079fc39b1a9db39d1f356699729a8","observation_id":"1d67e35f-98eb-4d8e-ab9c-9bbc8c8d3107","resolution":{"observed_at":"2026-05-18T00:40:34.131233Z","resolver_source":"arxiv_id","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":"2026-05-24T01:24:00.542702+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T01:24:00.542702+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.08533","last_updated":"2024-03-27T09:11:48Z","snapshot_observed_at":"2026-08-06T09:23:30.469618Z","submitted_at":"2023-12-13T21:46:09Z","title":"World Models via Policy-Guided Trajectory Diffusion","version":4},"cited_work":{"arxiv_id":"2312.08533","doi":"10.48550/arxiv.2312.08533","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.08533","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Rigter, J","venue":"arXiv (Cornell University)","work_id":"e49877ab-0831-442f-9af6-b95e0d035b4d","year":2023},"citing_paper":{"arxiv_id":"2511.03828","last_updated":"2026-05-17T20:29:17Z","snapshot_observed_at":"2026-08-01T05:50:04.658635Z","submitted_at":"2025-11-05T19:48:46Z","title":"From Static Constraints to Dynamic Adaptation: Sample-Level Constraint Relaxation for Offline-to-Online Reinforcement Learning","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-21T19:02:38.240098Z"},"links":{"cited_paper":"/paper/2312.08533","citing_paper":"/paper/2511.03828"},"observation_digest":"sha256:8819227f75784e10e09ec11a6fa2d4b553b778c32350e5d4dc62e98327fe274d","observation_id":"96158358-d647-4462-8785-bcd2e5326d3f","resolution":{"observed_at":"2026-05-21T19:04:19.115747Z","resolver_source":"arxiv_id","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":"2026-05-24T01:24:00.542702+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T01:24:00.542702+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.08533","last_updated":"2024-03-27T09:11:48Z","snapshot_observed_at":"2026-08-06T09:23:30.469618Z","submitted_at":"2023-12-13T21:46:09Z","title":"World Models via Policy-Guided Trajectory Diffusion","version":4},"cited_work":{"arxiv_id":"2312.08533","doi":"10.48550/arxiv.2312.08533","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.08533","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Rigter, J","venue":"arXiv (Cornell University)","work_id":"e49877ab-0831-442f-9af6-b95e0d035b4d","year":2023},"citing_paper":{"arxiv_id":"2511.04812","last_updated":"2026-04-13T05:09:26Z","snapshot_observed_at":"2026-07-06T22:35:07.844255Z","submitted_at":"2025-11-06T21:08:35Z","title":"Multimodal Diffusion Forcing for Forceful Manipulation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-18T00:32:31.344825Z"},"links":{"cited_paper":"/paper/2312.08533","citing_paper":"/paper/2511.04812"},"observation_digest":"sha256:6a4c7a8deff9a9b6b3c9b1ae5b5b44b208cc5f20662d7873d95d4e964878157d","observation_id":"3d769411-9fd2-4b11-b731-03eb4939f7a7","resolution":{"observed_at":"2026-05-18T00:35:32.988184Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2026-05-24T01:24:00.542702+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T01:24:00.542702+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.08533","last_updated":"2024-03-27T09:11:48Z","snapshot_observed_at":"2026-08-06T09:23:30.469618Z","submitted_at":"2023-12-13T21:46:09Z","title":"World Models via Policy-Guided Trajectory Diffusion","version":4},"cited_work":{"arxiv_id":"2312.08533","doi":"10.48550/arxiv.2312.08533","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.08533","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Rigter, J","venue":"arXiv (Cornell University)","work_id":"e49877ab-0831-442f-9af6-b95e0d035b4d","year":2023},"citing_paper":{"arxiv_id":"2604.09035","last_updated":"2026-04-10T06:53:25Z","snapshot_observed_at":"2026-07-06T22:57:59.555972Z","submitted_at":"2026-04-10T06:53:25Z","title":"Advantage-Guided Diffusion for Model-Based Reinforcement Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T17:21:03.813720Z"},"links":{"cited_paper":"/paper/2312.08533","citing_paper":"/paper/2604.09035"},"observation_digest":"sha256:ed88cd29bf4124b108504b348780b4895c5f752e32b9656d30bd04d845e7b52c","observation_id":"4ccf9485-0f2c-4e38-a837-f15ab6936aca","resolution":{"observed_at":"2026-05-11T07:01:00.651669Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2026-05-24T01:24:00.542702+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T01:24:00.542702+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.08533","last_updated":"2024-03-27T09:11:48Z","snapshot_observed_at":"2026-08-06T09:23:30.469618Z","submitted_at":"2023-12-13T21:46:09Z","title":"World Models via Policy-Guided Trajectory Diffusion","version":4},"cited_work":{"arxiv_id":"2312.08533","doi":"10.48550/arxiv.2312.08533","metadata_source":"arxiv_reference","pith_arxiv_id":"2312.08533","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Rigter, J","venue":"arXiv (Cornell University)","work_id":"e49877ab-0831-442f-9af6-b95e0d035b4d","year":2023},"citing_paper":{"arxiv_id":"2605.16520","last_updated":"2026-05-15T18:14:38Z","snapshot_observed_at":"2026-08-08T04:03:57.471199Z","submitted_at":"2026-05-15T18:14:38Z","title":"Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing","version":1},"reference_index":182,"source":"arxiv_source","source_observed_at":"2026-05-20T20:15:44.030714Z"},"links":{"cited_paper":"/paper/2312.08533","citing_paper":"/paper/2605.16520"},"observation_digest":"sha256:68231ee2ff855f87ef4d387a647cfab233431a972109ad4f805e5fa0e2ec44d9","observation_id":"2fad442b-2f1d-465f-adcf-cf94fd02a86b","resolution":{"observed_at":"2026-05-20T20:18:59.661711Z","resolver_source":"arxiv_id","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":"2026-05-24T01:24:00.542702+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T01:24:00.542702+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.08533","last_updated":"2024-03-27T09:11:48Z","snapshot_observed_at":"2026-08-06T09:23:30.469618Z","submitted_at":"2023-12-13T21:46:09Z","title":"World Models via Policy-Guided Trajectory Diffusion","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.08533","snapshot_observed_at":"2026-08-01T17:45:24.039793Z","title":"arXiv preprint arXiv:2312.08533 , 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":288,"source":"arxiv_source","source_observed_at":"2026-08-01T17:45:24.039793Z"},"links":{"cited_paper":"/paper/2312.08533","citing_paper":"/paper/2607.17560"},"observation_digest":"sha256:11a15b5f5d91caaee1e3491e4ecf5f09c2c8e970b95a8b82c4c8083b1c6b7c11","observation_id":"91cc5beb-2451-420c-812f-86d8a14933b3","resolution":{"observed_at":"2026-08-01T17:45:24.039793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2312.08533/citation-record","integrity":"/paper/2312.08533/integrity","json":"/paper/2312.08533/citation-record.json","paper":"/paper/2312.08533"},"outbound":[],"paper":{"arxiv_id":"2312.08533","last_updated":"2024-03-27T09:11:48Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T09:23:30.469618Z","submitted_at":"2023-12-13T21:46:09Z","title":"World Models via Policy-Guided Trajectory Diffusion"},"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 9 inbound Pith citation observations for arXiv:2312.08533."}