{"as_of":"2026-08-08T17:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:04ce19a8b5e9b8e7f42cf3357fb2bd30057abd0f4f714671904e3dba8c190b52","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T10:25:06.087772Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2606.24152/citation-record","integrity":"/paper/2606.24152/integrity","json":"/paper/2606.24152/citation-record.json","paper":"/paper/2606.24152"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.010505Z","title":"Video generation models as world simulators","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.010505Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:a193ddb5126c566f78086e0b751481e2d22ec869ca3c305b30a5af0ecce2cf07","observation_id":"52c1fa55-d3f2-4373-a566-b7166fcf854f","resolution":{"observed_at":"2026-08-02T10:25:06.010505Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.017711Z","title":"A note on the eval- uation of generative models","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.017711Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:5102c85f37faf4b721920c97072d820a04cb4f8449ee7022c03f8307ce64a674","observation_id":"11d9b139-dee3-44ed-ae82-d55a354799ab","resolution":{"observed_at":"2026-08-02T10:25:06.017711Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.021019Z","title":"Improved preci- sion and recall metric for assessing generative models","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.021019Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:ab9cdde62adda02d39f9e194213d0ca09b04c716d88c853b1995ca1a072643a6","observation_id":"0be3173d-557d-4f40-be52-19c74619c709","resolution":{"observed_at":"2026-08-02T10:25:06.021019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.024223Z","title":"The unreasonable effec- tiveness of deep features as a perceptual metric","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.024223Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:3823666ddc8c5bd780b772b35bae2ed115fe601dd4715336d19b949bf951931d","observation_id":"d9aad5cd-30e8-41c4-9edd-eb1307bec5f9","resolution":{"observed_at":"2026-08-02T10:25:06.024223Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.01717","last_updated":"2019-03-27T16:43:17Z","snapshot_observed_at":"2026-07-06T07:19:11.957225Z","submitted_at":"2018-12-03T03:57:42Z","title":"Towards Accurate Generative Models of Video: A New Metric & Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.01717","snapshot_observed_at":"2026-08-02T10:25:06.027646Z","title":"Towards accurate generative models of video: a new metric and challenges","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.027646Z"},"links":{"cited_paper":"/paper/1812.01717","citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:de218e53f0b8296f0541ac96867ac10613d3378ca768ef18b950fe9af0061f58","observation_id":"6d86fb87-f0e7-44a1-8a19-080b0858d50e","resolution":{"observed_at":"2026-08-02T10:25:06.027646Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.031100Z","title":"VBench: comprehensive bench- mark suite for video generative models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.031100Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:102847855c1074ddab216b39933a19c2f50e1bb7edf878f3e92b7e55a3e20fec","observation_id":"9be8a540-27a6-41de-b4ca-53ac9c3f2b42","resolution":{"observed_at":"2026-08-02T10:25:06.031100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.034156Z","title":"Recurrent world models facili- tate policy evolution","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.034156Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:48eef677edb312734f4c864150068811da2bbb6ec299c282ecb0b2c8babc6e2b","observation_id":"c67682b1-d88f-4591-8e6b-f2c6e4b1028c","resolution":{"observed_at":"2026-08-02T10:25:06.034156Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.037908Z","title":"Learning latent dynam- ics for planning from pixels","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.037908Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:a53453c99a90cd276b39069e445b6ca563bb4463d409c1195636389d12853f1a","observation_id":"39115c03-63ac-4d09-93df-c9bc3e3ff2ba","resolution":{"observed_at":"2026-08-02T10:25:06.037908Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.040797Z","title":"Mastering di- verse control tasks through world models.Nature2025; 640: 647–653","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.040797Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:88603f973a50fca5f1123e4da3e96e63ac51cd7ecc9e5cad74976d5256178a74","observation_id":"ab8a2940-89a7-4496-8344-c5d4c7a7008e","resolution":{"observed_at":"2026-08-02T10:25:06.040797Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.043954Z","title":"RT -2: Vision-language-action models transfer web knowledge to robotic control","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.043954Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:9284db3f53aebd39f62c513dc3a3068f315d4fb6c7f7cc8a80fe5148fc9b1094","observation_id":"ca1971a6-5af4-4a8f-8f69-79c464868f88","resolution":{"observed_at":"2026-08-02T10:25:06.043954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.24164","last_updated":"2026-01-08T17:01:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-31T17:22:30Z","title":"$\\pi_0$: A Vision-Language-Action Flow Model for General Robot Control","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.24164","snapshot_observed_at":"2026-08-02T10:25:06.046753Z","title":"arXiv:2410.24164, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.046753Z"},"links":{"cited_paper":"/paper/2410.24164","citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:49ff8a1a4c48a2d14de5fc622617bae4c085da826e46f7bf83fc062b4b863316","observation_id":"c36c90a9-7fc9-4204-9025-a42b0b6a256e","resolution":{"observed_at":"2026-08-02T10:25:06.046753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.049917Z","title":"VIMA: General robot ma- nipulation with multimodal prompts","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.049917Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:4b6e47e7b59ac8e6288bfa3dcb482a774ed763093d250f2aa52c8f5aac87ddb4","observation_id":"a1ec670d-ca14-47b7-b75f-991ca6b8659b","resolution":{"observed_at":"2026-08-02T10:25:06.049917Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08864","last_updated":"2025-05-14T15:22:36Z","snapshot_observed_at":"2026-08-08T01:53:43.555672Z","submitted_at":"2023-10-13T05:20:40Z","title":"Open X-Embodiment: Robotic Learning Datasets and RT-X Models","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.08864","snapshot_observed_at":"2026-08-02T10:25:06.052894Z","title":"Open X-Embodiment: robotic learning datasets and RT -X models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.052894Z"},"links":{"cited_paper":"/paper/2310.08864","citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:8d9bbcc88354a8221de03cc8aa365ee3cd70c6ebeea160d1ec056474267b1e6a","observation_id":"2d7413b2-7f8c-4766-bd40-f67c0451030f","resolution":{"observed_at":"2026-08-02T10:25:06.052894Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.055984Z","title":"Diffusion policy: visuomotor policy learning via action diffusion.Int J Robot Res2025; doi:10.1177/02783649241273668","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.055984Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:8b784e398c4459c64bdf0b9243402f929a933c7329a81af6521a44a4f40fa7db","observation_id":"e0b1cc6a-c629-4b4d-b212-b74c557cbdf4","resolution":{"observed_at":"2026-08-02T10:25:06.055984Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.058894Z","title":"Learning to simulate complex physics with graph networks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.058894Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:eba24cad4ba5f3bedfc9af6efabd1f7f0185ed7c5459459912107d5a1e976459","observation_id":"52066578-b785-4ee9-b1a4-b111908566e0","resolution":{"observed_at":"2026-08-02T10:25:06.058894Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.061342Z","title":"Genie: generative interactive environments","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.061342Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:b6432044cd599076de41f38fe77752950dd2d71fd9131183bc9803140a7b9df8","observation_id":"fa89494b-534a-46ef-b028-1382361dfb83","resolution":{"observed_at":"2026-08-02T10:25:06.061342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.064036Z","title":"Learning interactive real-world simulators","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.064036Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:5c60911301abfc9a4ebfcfee55a6b8621b4cef4f8011c07350fc14866aa83b29","observation_id":"423878ee-75a5-41ea-9c63-1e24782f9750","resolution":{"observed_at":"2026-08-02T10:25:06.064036Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.03575","last_updated":"2025-07-09T19:35:31Z","snapshot_observed_at":"2026-08-03T00:21:10.886100Z","submitted_at":"2025-01-07T06:55:50Z","title":"Cosmos World Foundation Model Platform for Physical AI","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.03575","snapshot_observed_at":"2026-08-02T10:25:06.066776Z","title":"Cosmos world foundation model platform for physical AI","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.066776Z"},"links":{"cited_paper":"/paper/2501.03575","citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:5459dcbd5cc2ba5734766495fbb951ef83d92be303edfbd8384fac6f3628641c","observation_id":"09b03af5-c89c-4a71-9770-9d2c66bb036b","resolution":{"observed_at":"2026-08-02T10:25:06.066776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.09985","last_updated":"2025-06-11T17:57:09Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-11T17:57:09Z","title":"V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.09985","snapshot_observed_at":"2026-08-02T10:25:06.069869Z","title":"V-JEPA 2: self- supervised video models enable understanding, predic- tion and planning in the physical world","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.069869Z"},"links":{"cited_paper":"/paper/2506.09985","citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:cc9166c4d944cc6aee59a211a2f7860c438a897badadb2e2ccbfb5cc7febb994","observation_id":"c77664c3-bdf7-41ea-9e33-a301e02cf4a4","resolution":{"observed_at":"2026-08-02T10:25:06.069869Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.073006Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.073006Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:3c6eab4947190759b06b5911a87be21da53d7fc4db3ec80ae48d31ce4cb08823","observation_id":"d70c5deb-8c30-4726-bb3f-eefbcf457bc5","resolution":{"observed_at":"2026-08-02T10:25:06.073006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.06665","last_updated":"2024-04-29T23:21:33Z","snapshot_observed_at":"2026-07-06T17:28:10.554625Z","submitted_at":"2024-02-06T17:15:33Z","title":"The Essential Role of Causality in Foundation World Models for Embodied AI","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.06665","snapshot_observed_at":"2026-08-02T10:25:06.076188Z","title":"The essential role of causality in foundation world models for embodied AI","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.076188Z"},"links":{"cited_paper":"/paper/2402.06665","citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:2817c20d59d8e1a732f5796d76b7f300de5f094d14b4230329ff46711ff004a1","observation_id":"1ae3255e-c6d2-4e37-a3d8-6e78a1dbb494","resolution":{"observed_at":"2026-08-02T10:25:06.076188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.079305Z","title":"Benchmarking neural net- work robustness to common corruptions and perturbations","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.079305Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:3d7f63c7c08ea502a669ba3633a36c27be75402728f00c6d53c40a5d368f8053","observation_id":"350d0758-cb85-4179-a442-322be0bf657a","resolution":{"observed_at":"2026-08-02T10:25:06.079305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.082220Z","title":"WILDS: a bench- mark of in-the-wild distribution shifts","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.082220Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:7327b9dbd7c2201efbec2711701bbf58ebded89a1bbb320160f04542c2c4042c","observation_id":"f4a44fef-26c4-413f-b604-9db30fd81470","resolution":{"observed_at":"2026-08-02T10:25:06.082220Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.084972Z","title":"Can you trust your model’s uncertainty? Evaluating predictive uncertainty un- der dataset shift","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.084972Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:93bb6a74b5503ab956afc955dfaed95fe5003ec64193f21d64d4bc3731009312","observation_id":"b0d712f9-d2ac-40c9-bda7-897a1d10c000","resolution":{"observed_at":"2026-08-02T10:25:06.084972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.087772Z","title":"Control barrier functions: theory and applications","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.087772Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:250e7056b1407c9ff14d97ab47ecf48ef6a8aa4c577c3c3b02a6c18f8ad89851","observation_id":"aa759f7b-fb2b-4516-85f3-a007743e3630","resolution":{"observed_at":"2026-08-02T10:25:06.087772Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T10:25:06.014470Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:06.014470Z"},"links":{"citing_paper":"/paper/2606.24152"},"observation_digest":"sha256:9694d00efc9c98771717212d8b9651f9cc4753fd5e6c1576f10ea01537d7d51a","observation_id":"4ea7daac-6419-4473-b5bc-18d5426868c6","resolution":{"observed_at":"2026-08-02T10:25:06.014470Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.24152","last_updated":"2026-07-14T20:37:59Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T06:30:29.938636Z","submitted_at":"2026-06-23T05:19:47Z","title":"Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":26},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2606.24152."}