{"as_of":"2026-08-18T17:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:31bd78eac865234984667b5a9484d2037d1dfe04c2e46db361e6dc3b4052981d","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-08T02:00:30.551638Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T00:04:10.767303Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2607.06559","snapshot_observed_at":"2026-08-02T00:04:10.767303Z","title":"Rynnworld-4d: 4d embodied world models for robotic manipulation.arXiv preprint arXiv:2607.06559, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.15330","last_updated":"2026-07-22T11:38:14Z","snapshot_observed_at":"2026-08-17T22:39:36.597563Z","submitted_at":"2026-07-16T16:02:25Z","title":"Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-02T00:04:10.767303Z"},"links":{"cited_paper":"/paper/2607.06559","citing_paper":"/paper/2607.15330"},"observation_digest":"sha256:a4fb62d23bb168a391907c7a9d03a8d36081bddaafab39845a960a8bf0e6cd9f","observation_id":"78a64214-cc8c-46c0-8ab8-8c27ff66a29d","resolution":{"observed_at":"2026-08-02T00:04:10.767303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2607.06559/citation-record","integrity":"/paper/2607.06559/integrity","json":"/paper/2607.06559/citation-record.json","paper":"/paper/2607.06559"},"outbound":[{"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":"2501.03575","doi":"10.48550/arxiv.2501.03575","metadata_source":"pith","pith_arxiv_id":"2501.03575","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Cosmos World Foundation Model Platform for Physical AI","venue":"cs.CV","work_id":"a2dba24c-318d-476a-8b21-4289c265810c","year":2025},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2501.03575","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:0ec8b416524143022b98d96a9238ec93bf6301dcb16ed8d80357d40e145440d3","observation_id":"7f8801d9-ce86-4c97-9ca1-dd9d1abc1c67","resolution":{"observed_at":"2026-07-08T02:04:26.164864Z","resolver_source":"local_arxiv","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":"2026-07-11T15:53:29.560535+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T15:53:29.560535+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2511.00062","last_updated":"2026-02-24T21:52:50Z","snapshot_observed_at":"2026-07-06T22:34:38.619949Z","submitted_at":"2025-10-28T22:44:13Z","title":"World Simulation with Video Foundation Models for Physical AI","version":2},"cited_work":{"arxiv_id":"2511.00062","doi":"10.48550/arxiv.2511.00062","metadata_source":"pith","pith_arxiv_id":"2511.00062","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"World Simulation with Video Foundation Models for Physical AI","venue":"cs.CV","work_id":"1dc393b8-98c3-43bd-8ab0-25d7c2a9705b","year":2025},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2511.00062","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:b6bc08311d627769044f2db44531b973c832ebf5dd2c7aef31d6719da4802a80","observation_id":"e4c5534d-c23a-4905-8f2c-f1520ae446f0","resolution":{"observed_at":"2026-07-08T02:04:26.176469Z","resolver_source":"local_arxiv","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":"2511.21631","last_updated":"2025-11-27T12:16:54Z","snapshot_observed_at":"2026-08-17T13:26:10.378579Z","submitted_at":"2025-11-26T17:59:08Z","title":"Qwen3-VL Technical Report","version":2},"cited_work":{"arxiv_id":"2511.21631","doi":"10.1016/j.neunet.2025.107777","metadata_source":"pith","pith_arxiv_id":"2511.21631","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qwen3-VL Technical Report","venue":"cs.CV","work_id":"1fe243aa-e3c0-4da6-b391-4cbcfc88d5c0","year":2025},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2511.21631","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:ae0953cfc54b16b4c94c0810009c9814841c372288b74343f2ad1a873b9a7bd2","observation_id":"68c39c6a-ac25-4866-a5f4-d211a2525e0b","resolution":{"observed_at":"2026-07-08T02:04:26.200280Z","resolver_source":"local_arxiv","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":"2409.16283","last_updated":"2024-09-24T17:57:33Z","snapshot_observed_at":"2026-08-15T00:36:59.684390Z","submitted_at":"2024-09-24T17:57:33Z","title":"Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation","version":1},"cited_work":{"arxiv_id":"2409.16283","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.16283","snapshot_observed_at":"2026-07-10T23:07:47.692433Z","title":"Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation","venue":"cs.RO","work_id":"a3bde288-aace-40db-8067-3ae6656f9509","year":2024},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2409.16283","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:f121a40ea9f7074f233d1124c224eeccecdbfc6288de2a2a3f7fae9524defa58","observation_id":"6583d759-8629-4502-8b43-2642b36b575a","resolution":{"observed_at":"2026-07-08T02:04:26.178857Z","resolver_source":"local_arxiv","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":"2512.13030","last_updated":"2025-12-25T08:16:05Z","snapshot_observed_at":"2026-08-16T22:05:17.066613Z","submitted_at":"2025-12-15T06:58:40Z","title":"Motus: A Unified Latent Action World Model","version":2},"cited_work":{"arxiv_id":"2512.13030","doi":null,"metadata_source":"pith","pith_arxiv_id":"2512.13030","snapshot_observed_at":"2026-07-10T04:16:48.690751Z","title":"Motus: A Unified Latent Action World Model","venue":"cs.CV","work_id":"d0b2d257-524d-4d67-9daf-5fb43e5e977a","year":2025},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2512.13030","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:2f4bf89d4199406842828c8f79db050f809a4e86310e9dfc808a4482f3e35512","observation_id":"5b04cdfa-182e-458b-b090-879577678e0a","resolution":{"observed_at":"2026-07-08T02:04:26.196644Z","resolver_source":"local_arxiv","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":"2310.10639","last_updated":"2023-10-16T17:57:23Z","snapshot_observed_at":"2026-08-08T13:35:58.479807Z","submitted_at":"2023-10-16T17:57:23Z","title":"Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models","version":1},"cited_work":{"arxiv_id":"2310.10639","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.10639","snapshot_observed_at":"2026-07-08T02:04:26.192438Z","title":"Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models","venue":"cs.RO","work_id":"954b4359-f4ed-4c73-ae5b-f75d486b6fc8","year":2023},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2310.10639","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:1988698a45f378a2eff8080ddcb471e03f399df4c2f388bf379707fda84331cc","observation_id":"f03dc6e0-9b93-43a8-b485-e4d6a150e060","resolution":{"observed_at":"2026-07-08T02:04:26.193832Z","resolver_source":"local_arxiv","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":"2410.24164","last_updated":"2026-01-08T17:01:05Z","snapshot_observed_at":"2026-08-16T17:53:54.636855Z","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":"2410.24164","doi":"10.48550/arxiv.2410.24164","metadata_source":"pith","pith_arxiv_id":"2410.24164","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"$\\pi_0$: A Vision-Language-Action Flow Model for General Robot Control","venue":"cs.LG","work_id":"f790abdc-a796-482f-a40d-f8ee035ecfc2","year":2024},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2410.24164","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:53f4c12c9994913911ca7010c2651d946d503947a95adaa2d39d715c3ec9a723","observation_id":"390b52be-2d5c-413a-a8be-8053ebbc1676","resolution":{"observed_at":"2026-07-08T02:04:26.185240Z","resolver_source":"local_arxiv","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":"2503.06669","last_updated":"2025-08-04T04:50:21Z","snapshot_observed_at":"2026-08-16T04:42:52.370966Z","submitted_at":"2025-03-09T15:40:29Z","title":"AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems","version":4},"cited_work":{"arxiv_id":"2503.06669","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.06669","snapshot_observed_at":"2026-07-10T23:07:47.895730Z","title":"AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems","venue":"cs.RO","work_id":"f797e9ec-510f-43a7-8a0c-18009ce332e5","year":2025},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2503.06669","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:a5ec30e0fd97810410c24e79b9c60be28d106e3f35aeab52b6714d6eee2bb400","observation_id":"3a1154a1-adac-47e8-8145-f5131992579a","resolution":{"observed_at":"2026-07-08T02:04:26.203440Z","resolver_source":"local_arxiv","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":"2508.13154","last_updated":"2025-08-18T17:59:55Z","snapshot_observed_at":"2026-08-15T17:12:42.635073Z","submitted_at":"2025-08-18T17:59:55Z","title":"4DNeX: Feed-Forward 4D Generative Modeling Made Easy","version":1},"cited_work":{"arxiv_id":"2508.13154","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.13154","snapshot_observed_at":"2026-07-08T02:04:26.158592Z","title":"4dnex: Feed-forward 4d generative modeling made easy","venue":"cs.CV","work_id":"ad4eb9e0-280f-4afa-aec7-73f914c5dada","year":2025},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2508.13154","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:f356071eb93872b66535d27292fda491cc022ff12683158de0eda324b32cb1a7","observation_id":"55a64112-2b24-402b-bef8-868b3274f50f","resolution":{"observed_at":"2026-07-08T02:04:26.160122Z","resolver_source":"local_arxiv","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":"2310.10625","last_updated":"2023-10-16T17:48:45Z","snapshot_observed_at":"2026-08-16T14:51:40.234732Z","submitted_at":"2023-10-16T17:48:45Z","title":"Video Language Planning","version":1},"cited_work":{"arxiv_id":"2310.10625","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.10625","snapshot_observed_at":"2026-07-08T03:14:31.687294Z","title":"arXiv preprint arXiv:2310.10625 (2023)","venue":"cs.CV","work_id":"9736ca18-78ad-4d25-ac93-df8f2295a1f8","year":2023},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2310.10625","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:20f94aa6fb005d768e7348a2a2909e5df282adb521c3807d505fc779a86ef7bb","observation_id":"3cda0c82-6f6a-46e0-a67f-8cec394645d5","resolution":{"observed_at":"2026-07-08T02:04:26.166647Z","resolver_source":"local_arxiv","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":"2603.11606","last_updated":"2026-06-24T16:15:02Z","snapshot_observed_at":"2026-08-17T17:45:12.703959Z","submitted_at":"2026-03-12T06:59:44Z","title":"Articulat3D: Reconstructing Articulated Digital Twins From Monocular Videos with Geometric and Motion Constraints","version":2},"cited_work":{"arxiv_id":"2603.11606","doi":null,"metadata_source":"pith","pith_arxiv_id":"2603.11606","snapshot_observed_at":"2026-07-11T00:07:42.774366Z","title":"Articulat3D: Reconstructing Articulated Digital Twins From Monocular Videos with Geometric and Motion Constraints","venue":"cs.CV","work_id":"aae99adc-2d9e-4ed9-94ed-e41b3f2d766a","year":2026},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2603.11606","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:f7daecf304f128eddf821448aabefc365c0756105075e58e41c445f109eb1aef","observation_id":"6969a39b-5885-48a6-8f50-6d14539ade78","resolution":{"observed_at":"2026-07-08T02:04:26.190537Z","resolver_source":"local_arxiv","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":"1803.10122","last_updated":"2018-05-09T09:06:27Z","snapshot_observed_at":"2026-08-18T07:04:58.690133Z","submitted_at":"2018-03-27T15:08:55Z","title":"World Models","version":4},"cited_work":{"arxiv_id":"1803.10122","doi":"10.48550/arxiv.1712.00409","metadata_source":"pith","pith_arxiv_id":"1803.10122","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"World Models","venue":"cs.LG","work_id":"07227eee-8445-4c98-bce4-c6a6fd5ed907","year":2018},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/1803.10122","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:1827982bd850aa19f38a722040a9334cd359f1597026942a072b832557bcc4a1","observation_id":"b13f6bf7-3199-42a2-b18a-bd127503aec1","resolution":{"observed_at":"2026-07-08T02:04:26.179043Z","resolver_source":"local_arxiv","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":"2310.16828","last_updated":"2024-03-21T17:56:19Z","snapshot_observed_at":"2026-07-31T05:32:29.431480Z","submitted_at":"2023-10-25T17:57:07Z","title":"TD-MPC2: Scalable, Robust World Models for Continuous Control","version":2},"cited_work":{"arxiv_id":"2310.16828","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.16828","snapshot_observed_at":"2026-07-08T02:04:26.234596Z","title":"TD-MPC2: Scalable, Robust World Models for Continuous Control","venue":"cs.LG","work_id":"360ec5fb-79fd-4490-bc73-3d161609c42d","year":2023},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2310.16828","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:9fde6fd755b1b4df0f6bfa151b70486f5df1508acdfaf48531b6cf4df240388a","observation_id":"45834516-3e80-4daa-becc-f901e52d011b","resolution":{"observed_at":"2026-07-08T02:04:26.236255Z","resolver_source":"local_arxiv","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":"2412.14803","last_updated":"2025-05-04T04:28:53Z","snapshot_observed_at":"2026-08-13T21:27:22.538668Z","submitted_at":"2024-12-19T12:48:40Z","title":"Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations","version":2},"cited_work":{"arxiv_id":"2412.14803","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.14803","snapshot_observed_at":"2026-07-10T12:47:05.518340Z","title":"Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations","venue":"cs.CV","work_id":"62dbe235-8473-4190-8686-17e7437de50f","year":2024},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2412.14803","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:7aa3c2e37bb74819c5122903eb09fe77662f4d0ea72793c735205d2eb05a7400","observation_id":"5c127a53-9eab-482f-8cb7-ff644cbf494f","resolution":{"observed_at":"2026-07-08T02:04:26.182374Z","resolver_source":"local_arxiv","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":"2504.16054","last_updated":"2025-04-22T17:31:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-22T17:31:29Z","title":"$\\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization","version":1},"cited_work":{"arxiv_id":"2504.16054","doi":"10.1609/aaai.v40i28.39562","metadata_source":"pith","pith_arxiv_id":"2504.16054","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"$\\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization","venue":"cs.LG","work_id":"d1ad7304-d09a-49bc-809e-846439f6aff9","year":2025},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2504.16054","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:d5378fdd12c04dd6e02ff226e02de59e1b3f51a18519bbbf210fea58c66ff390","observation_id":"d269ddb0-68c1-470e-be30-abe5897a0a44","resolution":{"observed_at":"2026-07-08T02:04:26.187419Z","resolver_source":"local_arxiv","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":"2509.00576","last_updated":"2025-08-30T18:04:19Z","snapshot_observed_at":"2026-08-14T02:52:34.768729Z","submitted_at":"2025-08-30T18:04:19Z","title":"Galaxea Open-World Dataset and G0 Dual-System VLA Model","version":1},"cited_work":{"arxiv_id":"2509.00576","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.00576","snapshot_observed_at":"2026-07-08T07:14:45.460259Z","title":"Galaxea open-world dataset and G0 dual-system VLA model","venue":"cs.RO","work_id":"568af32f-f647-4c11-a106-65ddfa305082","year":2025},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2509.00576","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:248a72ed57d82abcb0767958c30a755cf88494d336ecdfef9e1ee957fcb45b0d","observation_id":"d71683f1-fe40-4cb8-9fa4-15ae91d8d1c4","resolution":{"observed_at":"2026-07-08T02:04:26.187904Z","resolver_source":"local_arxiv","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":"2412.03603","last_updated":"2025-03-11T08:14:25Z","snapshot_observed_at":"2026-08-17T07:44:10.213698Z","submitted_at":"2024-12-03T23:52:37Z","title":"HunyuanVideo: A Systematic Framework For Large Video Generative Models","version":6},"cited_work":{"arxiv_id":"2412.03603","doi":"10.48550/arxiv.2412.03603","metadata_source":"pith","pith_arxiv_id":"2412.03603","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"HunyuanVideo: A Systematic Framework For Large Video Generative Models","venue":"cs.CV","work_id":"881efa7e-7e73-4c66-9cc3-2803e551061c","year":2024},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2412.03603","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:b56650371f6d57a2f2fbcce70247ac6fd983f687a933e349b3bdd96a768bb8c7","observation_id":"d450454c-12ee-461c-9465-f2651242b4a3","resolution":{"observed_at":"2026-07-08T02:04:26.268499Z","resolver_source":"local_arxiv","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":"2026-07-10T21:18:49.433177+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T21:18:49.433177+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.08568","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T18:47:31.622283Z","title":"Novaflow: Zero-shot manipulation via ac- tionable flow from generated videos.arXiv preprint arXiv:2510.08568, 2025a","venue":null,"work_id":"09d6ddf4-6785-49e3-999e-daccc6f38bd8","year":2025},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:199fb6d9bf1f9230a576c1d5a75d8bded70b309fff421714c47894b159a1ec7b","observation_id":"502c5049-e97c-4b5e-831f-73402b19e451","resolution":{"observed_at":"2026-07-08T02:04:26.248798Z","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":"2406.16862","last_updated":"2024-06-24T17:59:45Z","snapshot_observed_at":"2026-08-18T10:36:28.197890Z","submitted_at":"2024-06-24T17:59:45Z","title":"Dreamitate: Real-World Visuomotor Policy Learning via Video Generation","version":1},"cited_work":{"arxiv_id":"2406.16862","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.16862","snapshot_observed_at":"2026-07-08T02:04:26.253123Z","title":"Dreamitate: Real-world visuomotor policy learning via video generation","venue":"cs.RO","work_id":"45d8eed6-8b6f-40b3-99c2-eb10a736919a","year":2024},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2406.16862","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:570ff1c71955407f26e18ede2d63f998105c201a85582c28e3602815b30eeabe","observation_id":"a8320374-7948-4fc0-adbd-e24c6de68087","resolution":{"observed_at":"2026-07-08T02:04:26.255255Z","resolver_source":"local_arxiv","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":"2511.10647","last_updated":"2025-11-13T18:59:53Z","snapshot_observed_at":"2026-08-15T23:16:19.228206Z","submitted_at":"2025-11-13T18:59:53Z","title":"Depth Anything 3: Recovering the Visual Space from Any Views","version":1},"cited_work":{"arxiv_id":"2511.10647","doi":"10.48550/arxiv.2511.10647","metadata_source":"pith","pith_arxiv_id":"2511.10647","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Depth Anything 3: Recovering the Visual Space from Any Views","venue":"cs.CV","work_id":"0a54b500-1e9d-46c2-85eb-8e16cbac8461","year":2025},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2511.10647","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:abbc01932d4945d6c2d6e58b786ae7fffe98ee57709687f52917776e9475922f","observation_id":"a185fc9b-088e-47f5-943c-38e895ccca92","resolution":{"observed_at":"2026-07-08T02:04:26.244162Z","resolver_source":"local_arxiv","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":"2210.02747","last_updated":"2023-02-08T15:46:05Z","snapshot_observed_at":"2026-08-16T02:30:42.660030Z","submitted_at":"2022-10-06T08:32:20Z","title":"Flow Matching for Generative Modeling","version":2},"cited_work":{"arxiv_id":"2210.02747","doi":"10.1038/s41467-024-47656-z","metadata_source":"pith","pith_arxiv_id":"2210.02747","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Flow Matching for Generative Modeling","venue":"cs.LG","work_id":"6edb71c4-5d64-40af-a394-9757ea051a36","year":2022},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2210.02747","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:e6822e8630dacb58d794d2ed31e38f0807fb3f0fdc78e88c9b706a51d3fc48d5","observation_id":"47d805fb-fb74-485f-8067-2711141c4bf3","resolution":{"observed_at":"2026-07-08T02:04:26.265950Z","resolver_source":"local_arxiv","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":"2026-06-01T22:57:59.860918+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-01T22:57:59.860918+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07864","last_updated":"2025-03-01T08:57:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-10T12:33:46Z","title":"RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation","version":2},"cited_work":{"arxiv_id":"2410.07864","doi":"10.48550/arxiv.2410.07864","metadata_source":"pith","pith_arxiv_id":"2410.07864","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation","venue":"cs.RO","work_id":"12319725-bc7d-4c32-a229-ad270a7460bc","year":2024},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2410.07864","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:bf072d4d2f230a8667e2cb947dd94f798929c43527a12d81527ba6552a438f1e","observation_id":"d0cbeef0-64e1-44b8-aec1-4faea32018b4","resolution":{"observed_at":"2026-07-08T02:04:26.271049Z","resolver_source":"local_arxiv","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":"2010.03409","last_updated":"2021-06-18T16:32:43Z","snapshot_observed_at":"2026-08-16T19:15:13.406583Z","submitted_at":"2020-10-07T13:34:49Z","title":"Learning Mesh-Based Simulation with Graph Networks","version":4},"cited_work":{"arxiv_id":"2010.03409","doi":"10.48550/arxiv.2010.03409","metadata_source":"pith","pith_arxiv_id":"2010.03409","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2010.03409 (2020)","venue":"cs.LG","work_id":"34ebb37f-cdd4-4297-b8e0-fd0af833086e","year":2020},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2010.03409","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:083d2fb5961ffd7a0b1da5ad68d73d4b1bd9d406d3c9dd0b9439dcc4e707db2b","observation_id":"eedbec46-47e6-42bd-b3e9-ba3c73466bf1","resolution":{"observed_at":"2026-07-08T02:04:26.263344Z","resolver_source":"local_arxiv","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":"2503.20314","last_updated":"2025-04-19T02:22:42Z","snapshot_observed_at":"2026-08-12T22:34:51.361078Z","submitted_at":"2025-03-26T08:25:43Z","title":"Wan: Open and Advanced Large-Scale Video Generative Models","version":2},"cited_work":{"arxiv_id":"2503.20314","doi":"10.1109/19.492748","metadata_source":"pith","pith_arxiv_id":"2503.20314","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Wan: Open and Advanced Large-Scale Video Generative Models","venue":"cs.CV","work_id":"ad3ebc3b-4224-46c9-b61d-bcf135da0a7c","year":2025},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2503.20314","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:001ed7245d07ba22b29dd72dde513e7cf35b2884bd0cb85430db8f62cc91e627","observation_id":"f83cc394-4a49-461c-a401-346ac4d4a260","resolution":{"observed_at":"2026-07-08T02:04:26.252534Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":"2511.20937","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T02:04:26.256478Z","title":"Enact: Evaluating embodied cognition with world modeling of egocentric interaction","venue":null,"work_id":"0f7bae7a-014b-4f6f-8bec-9d1d7fad598f","year":2025},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:ca13c1a6d86618d1cf039f46691fcf3ae236ed9c6f3d7d900fef9b94b5ff6ad4","observation_id":"82a806ce-515e-41ca-a212-ca6d033cb57c","resolution":{"observed_at":"2026-07-08T02:04:26.259483Z","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":"2412.13877","last_updated":"2025-05-27T01:46:53Z","snapshot_observed_at":"2026-08-15T09:21:12.808847Z","submitted_at":"2024-12-18T14:17:16Z","title":"RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation","version":3},"cited_work":{"arxiv_id":"2412.13877","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.13877","snapshot_observed_at":"2026-07-08T02:04:26.240460Z","title":"RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation","venue":"cs.RO","work_id":"86320616-05fa-4c08-8bc0-4377e53bdba5","year":2024},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2412.13877","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:ad4c59300319acfd1a3d7253f6a66a59dedf93babf8409856630a9dcd5276cf8","observation_id":"11854999-5e4e-4d44-a0ba-dc8b2ebf9a06","resolution":{"observed_at":"2026-07-08T02:04:26.242348Z","resolver_source":"local_arxiv","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":"2511.17441","last_updated":"2026-04-13T12:31:35Z","snapshot_observed_at":"2026-08-14T08:08:04.254754Z","submitted_at":"2025-11-21T17:39:22Z","title":"RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation","version":3},"cited_work":{"arxiv_id":"2511.17441","doi":null,"metadata_source":"pith","pith_arxiv_id":"2511.17441","snapshot_observed_at":"2026-07-10T04:16:48.642593Z","title":"RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation","venue":"cs.RO","work_id":"bb5f869d-fc3a-4506-949c-65ae53321631","year":2025},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2511.17441","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:41fa5ec0fa305a991cec3f70c23dc9e4695e0357facdbcced6f8746322393567","observation_id":"dbf361c6-193d-4500-993f-3840106e90ae","resolution":{"observed_at":"2026-07-08T02:04:26.251829Z","resolver_source":"local_arxiv","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":"2406.09455","last_updated":"2024-06-12T18:55:51Z","snapshot_observed_at":"2026-08-16T13:43:36.192267Z","submitted_at":"2024-06-12T18:55:51Z","title":"Pandora: Towards General World Model with Natural Language Actions and Video States","version":1},"cited_work":{"arxiv_id":"2406.09455","doi":"10.48550/arxiv.2406.09455","metadata_source":"pith","pith_arxiv_id":"2406.09455","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pandora: Towards general world model with natural language actions and video states","venue":"cs.CV","work_id":"f083b1bb-feb6-4a11-a14a-810796bbd70f","year":2024},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2406.09455","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:33ee0cb38916316ae0e608763ab7b9dd9f3a7edd0b98425025aa2026789ea236","observation_id":"20c70fbb-8ee1-4330-a850-76be7e7c1230","resolution":{"observed_at":"2026-07-08T02:04:26.172719Z","resolver_source":"local_arxiv","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":"2408.06072","last_updated":"2025-03-26T08:33:10Z","snapshot_observed_at":"2026-08-15T19:52:28.153954Z","submitted_at":"2024-08-12T11:47:11Z","title":"CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer","version":3},"cited_work":{"arxiv_id":"2408.06072","doi":"10.48550/arxiv.2408.06072","metadata_source":"pith","pith_arxiv_id":"2408.06072","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer","venue":"cs.CV","work_id":"f38fc088-12aa-4bf4-9ecd-08d3e797ccb7","year":2024},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2408.06072","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:3a3c6544febfdad46691269592514248ca0a64a1426c14095095bd3e319a364b","observation_id":"b721d7f5-cc50-49f2-a83e-ff19af95b091","resolution":{"observed_at":"2026-07-08T02:04:26.216219Z","resolver_source":"local_arxiv","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":"2410.11758","last_updated":"2025-05-15T12:13:37Z","snapshot_observed_at":"2026-08-12T08:06:42.236760Z","submitted_at":"2024-10-15T16:28:09Z","title":"Latent Action Pretraining from Videos","version":2},"cited_work":{"arxiv_id":"2410.11758","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.11758","snapshot_observed_at":"2026-07-08T02:04:26.214499Z","title":"Latent Action Pretraining from Videos","venue":"cs.RO","work_id":"f32313d6-51a8-4863-8646-8e1870c15e2f","year":2024},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2410.11758","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:1f3d01d30001d92ec6178de6087d0ad0738dc23088e0dbafc97ad5dfd9232765","observation_id":"88f73141-048e-4cc6-9507-421e773002ce","resolution":{"observed_at":"2026-07-08T02:04:26.215924Z","resolver_source":"local_arxiv","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":"2602.15922","last_updated":"2026-02-17T15:04:02Z","snapshot_observed_at":"2026-08-09T12:54:21.149243Z","submitted_at":"2026-02-17T15:04:02Z","title":"World Action Models are Zero-shot Policies","version":1},"cited_work":{"arxiv_id":"2602.15922","doi":"10.48550/arxiv.2602.15922","metadata_source":"pith","pith_arxiv_id":"2602.15922","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"World Action Models are Zero-shot Policies","venue":"cs.RO","work_id":"9a85fc69-74df-450e-94cd-69d186e9e830","year":2026},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2602.15922","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:02073d821beb62473364561e4e907e39c0138d854ab642bc2937f14bbd40a257","observation_id":"77880148-c4a6-42f2-983f-86ce6b749752","resolution":{"observed_at":"2026-07-08T02:04:26.213239Z","resolver_source":"local_arxiv","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":"2026-07-10T21:18:49.958796+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T21:18:49.958796+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.03605","last_updated":"2022-07-11T10:30:29Z","snapshot_observed_at":"2026-08-18T07:50:02.322273Z","submitted_at":"2022-03-07T18:55:26Z","title":"DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection","version":4},"cited_work":{"arxiv_id":"2203.03605","doi":"10.48550/arxiv.2203.03605","metadata_source":"pith","pith_arxiv_id":"2203.03605","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection","venue":"cs.CV","work_id":"4e842f69-fa99-4dde-b8a7-b5a558d4c80b","year":2022},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2203.03605","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:bef3d5f0696d824a8a98d7185c0d08e78cfdbf539218e35135f68e5f451a5589","observation_id":"2a24270e-80b7-4e50-84ac-24e6386ef292","resolution":{"observed_at":"2026-07-08T02:04:26.224784Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":"2506.15680","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T04:16:48.761643Z","title":"Particle-grid neural dynamics for learning deformable object models from rgb-d videos","venue":null,"work_id":"0cb885b0-9cd1-4cc0-8ba7-9c1ecb6db542","year":2025},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:c71a4ac0c67a2c0721c986e5200c812629cef77761b2a59e51afde04a9ed1765","observation_id":"ca6d5675-f60e-4583-bddb-556cb2f896a3","resolution":{"observed_at":"2026-07-08T02:04:26.233188Z","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":"2408.09665","last_updated":"2024-11-19T12:48:43Z","snapshot_observed_at":"2026-08-16T13:25:39.592940Z","submitted_at":"2024-08-19T02:58:20Z","title":"Topology-aware Human Avatars with Semantically-guided Gaussian Splatting","version":2},"cited_work":{"arxiv_id":"2408.09665","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.09665","snapshot_observed_at":"2026-07-08T02:04:26.217104Z","title":"Topology-aware Human Avatars with Semantically-guided Gaussian Splatting","venue":"cs.CV","work_id":"8cc83dd2-df4e-44fe-b3aa-d93b10e4076d","year":2024},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2408.09665","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:8151edd8013e19d52f0db7de7b25d42a8e0ddd88968b8adcef1278dec66b8ab4","observation_id":"86e91116-5e1d-4c05-b94e-45537ca31539","resolution":{"observed_at":"2026-07-08T02:04:26.218410Z","resolver_source":"local_arxiv","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":"2412.20404","last_updated":"2024-12-29T08:52:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-29T08:52:49Z","title":"Open-Sora: Democratizing Efficient Video Production for All","version":1},"cited_work":{"arxiv_id":"2412.20404","doi":"10.48550/arxiv.2412.20404","metadata_source":"pith","pith_arxiv_id":"2412.20404","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Open-Sora: Democratizing Efficient Video Production for All","venue":"cs.CV","work_id":"8b29ba7b-3d84-4281-85b7-9eaf905afd7f","year":2024},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2412.20404","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:04ffe7ec3ef6d8d08b1fac71131c3d1d954f82eb11ec0c775fe284129ce3733d","observation_id":"a7470d8a-69dd-40ea-b20c-6a49c15f000d","resolution":{"observed_at":"2026-07-08T02:04:26.218920Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":"2512.01989","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T02:04:26.226892Z","title":"Unipc: A unified predictor-corrector framework for fast sampling of diffusion models.Advances in Neural Information Processing Systems, 36:49842–49869","venue":null,"work_id":"13626a02-1712-4ec2-968b-44548bb50736","year":2025},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:8e027a5ee0cf2d5e83d46d6eeadfbc68772238ae19d69b33f75cf042bf32282e","observation_id":"b57fe7a8-e59e-438f-8c6c-9350975ee6d9","resolution":{"observed_at":"2026-07-08T02:04:26.229080Z","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":"2406.14540","last_updated":"2025-07-29T16:48:03Z","snapshot_observed_at":"2026-08-16T13:41:00.439535Z","submitted_at":"2024-06-20T17:50:16Z","title":"IRASim: A Fine-Grained World Model for Robot Manipulation","version":2},"cited_work":{"arxiv_id":"2406.14540","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.14540","snapshot_observed_at":"2026-07-10T04:16:48.676072Z","title":"Irasim: A fine-grained world model for robot manipulation","venue":"cs.RO","work_id":"94cf4d33-9a24-4155-b8ea-0a2f2d71fadc","year":2024},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"cited_paper":"/paper/2406.14540","citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:f33ed894cd0634fdf57b75c521b04d3e2656a53d76d31d16938fd56bb6b60ec0","observation_id":"3f35496a-762f-4fcb-8230-c2ff1fe5e2c5","resolution":{"observed_at":"2026-07-08T02:04:26.221871Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T02:04:26.858064Z","title":null,"venue":null,"work_id":"06e32dd9-4fbd-4d49-99a5-5acc7afc048d","year":2024},"citing_paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-08T02:00:30.551638Z"},"links":{"citing_paper":"/paper/2607.06559"},"observation_digest":"sha256:e0e916c0bc32388e84b0ebd1fbf46d3a81f2815be450d09699dd96c27529dbd8","observation_id":"8219f762-b6ac-44fe-b248-86b4e02b309a","resolution":{"observed_at":"2026-07-08T02:04:26.859464Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}}],"paper":{"arxiv_id":"2607.06559","last_updated":"2026-07-07T17:58:15Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-18T08:45:47.925479Z","submitted_at":"2026-07-07T17:58:15Z","title":"RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":4,"parse_uncertain":0,"unresolved":1,"verified_exact":33,"verified_fuzzy":0},"total_outbound_references":38},"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 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2607.06559."}