{"as_of":"2026-08-05T15:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3d9b4710049428d60afba4aaebb9dac564a1f5b6d1ce025b5e430b5465171da4","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T14:07:31.809341Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+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/2606.02577/citation-record","integrity":"/paper/2606.02577/integrity","json":"/paper/2606.02577/citation-record.json","paper":"/paper/2606.02577"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T14:07:31.809341Z","title":"RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:5af8b7d746ee0db7ce27067034e4febd5f7bb87464a77b7980fa5c9e2205c68c","observation_id":"a0e79bae-ddc1-49e8-b2a4-f4efb1c97f52","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.12213","last_updated":"2024-05-26T19:55:26Z","snapshot_observed_at":"2026-07-06T18:16:51.116432Z","submitted_at":"2024-05-20T17:57:01Z","title":"Octo: An Open-Source Generalist Robot Policy","version":2},"cited_work":{"arxiv_id":"2405.12213","doi":"10.48550/arxiv.2405.12213","metadata_source":"pith","pith_arxiv_id":"2405.12213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Octo: An Open-Source Generalist Robot Policy","venue":"cs.RO","work_id":"f9ca0722-8855-48c3-a27a-0eefb7e19253","year":2024},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"cited_paper":"/paper/2405.12213","citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:e9b6b475d01d3465cf7746112819d33ab9fc5825eef35a7e6dd569c267e6bf84","observation_id":"66e88fc1-653f-4d22-902d-85c9acc15595","resolution":{"observed_at":"2026-07-01T23:36:23.600651Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T14:07:31.809341Z","title":"Data Scaling Laws in Imitation Learning for Robotic Manipulation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:63cbd26ba7fdbf601cfdceb8119367ae2d386c94c2657731085d48d0be9ddbd2","observation_id":"de907b87-da99-4092-898c-47e31cbf634d","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","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":"2026-06-28T14:07:31.809341Z","title":"DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:5d31b96be6502326a1e30f970f6e9f5308a217617342c717de14203b82105e68","observation_id":"9da43fdf-0eba-4c7e-a302-96d0cee53123","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","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":"2026-06-28T14:07:31.809341Z","title":"π0.5: a vision-language-action model with open-world generaliza- tion,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:2156ccfb5adb8f142a1a2db46b1d504c38774803a4c437d7e8ebe963253d1887","observation_id":"ee8fea5f-cd8d-4989-b6fd-c16eb4df21ed","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","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":"2026-06-28T14:07:31.809341Z","title":"A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:c0ef5ecf0a6f40469e8b2d485630e2c9d55bed29062cb0017b2c634b7ee88ff8","observation_id":"a3987711-3844-4748-b8a5-29aa50361f8e","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","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":"2026-06-28T14:07:31.809341Z","title":"Diffusion Policy: Visuomotor Policy Learning via Action Diffusion,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:e1dfa77719dc4daac662008e743beb4bff0810a42ae3ac3f518b97374db806a3","observation_id":"d7b06f20-e167-448e-ad22-d06cfa8d2d02","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","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":"2026-06-28T14:07:31.809341Z","title":"Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:1bcb8cfae5c8b182dbca63a42acb9934fd5f933a71fb13a64b4df9d2ba85af1a","observation_id":"38a92df4-4063-403d-bfdb-bb5c9b123495","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","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":"2026-06-28T14:07:31.809341Z","title":"Video generation models as world simulators,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:ef58c138ab5ff46198b4ca3297ee84d0524985e9836093bddae0df700fc6c36c","observation_id":"eeaca000-edb6-4f29-8b5b-95bd9f07de0a","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20314","last_updated":"2025-04-19T02:22:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","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":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"cited_paper":"/paper/2503.20314","citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:b07b093ca7f52970cb08b817ce975ab093456d52c86da355936a5053145b4315","observation_id":"9d809f15-2a16-48f3-a9a0-de3d9add1c78","resolution":{"observed_at":"2026-07-01T23:36:23.616159Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T14:07:31.809341Z","title":"Scaling Robot Learning with Semantically Imagined Experience,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:9b3ccc241603d5665d584c1a99fac4350b70b2501da53cadffcc019d7c4437b8","observation_id":"337e17c6-796d-4863-8883-337f145eeafb","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","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":"2026-06-28T14:07:31.809341Z","title":"Robo- Engine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:203917a1b21ded601e856195da342195d8ba98f8e0e08ad8a1aae929e1c45cfb","observation_id":"c04b3f6e-3e69-4bc6-9f9e-670eff3dd5ac","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","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":"2026-06-28T14:07:31.809341Z","title":"DreamGen: Unlocking Generalization in Robot Learning through Video World Models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:9bdc217cf0026dc1ddbe51fe4fe795c8949e95d42bc58135a834745ff0a82096","observation_id":"5e5ccfef-9020-4241-9e18-4257887c674c","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.15922","last_updated":"2026-02-17T15:04:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","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":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"cited_paper":"/paper/2602.15922","citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:6c5a5dd09423b22e52c43c8aa1a612b473aeb4b83c1760a65d0af2efc236d715","observation_id":"ef67987e-5026-47dc-807f-0f102807e249","resolution":{"observed_at":"2026-07-01T23:36:23.592764Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+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":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T14:07:31.809341Z","title":"AnchorDream: Repurposing Video Diffusion for Embodiment-Aware Robot Data Synthesis,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:0cb1d616671ef7fb70cbeb528ecb4c6474d86b8d3216d07b849dc2126f61f5cb","observation_id":"15f5ae7c-c1cb-4b54-a203-d1d51651d8d5","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","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":"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":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"cited_paper":"/paper/2501.03575","citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:c18904ab4a6a21f21678e8d6f6056e6403ae7645a862726951b5d025563c339c","observation_id":"345e1957-2066-4b51-9860-3de82a8a0462","resolution":{"observed_at":"2026-07-01T23:36:23.596752Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+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":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.06949","last_updated":"2026-02-06T18:49:43Z","snapshot_observed_at":"2026-07-06T22:44:51.126114Z","submitted_at":"2026-02-06T18:49:43Z","title":"DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos","version":1},"cited_work":{"arxiv_id":"2602.06949","doi":"10.48550/arxiv.2602.06949","metadata_source":"pith","pith_arxiv_id":"2602.06949","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos","venue":"cs.RO","work_id":"95f2f415-c659-4084-a008-39303bea8638","year":2026},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"cited_paper":"/paper/2602.06949","citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:a0945e985ee6dac1be667576f5a5491b1c4e4adc71e5faef83a39f380acded7f","observation_id":"6f123676-89e6-4d67-bff7-7b3492b67c06","resolution":{"observed_at":"2026-07-01T23:36:23.605057Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T14:07:31.809341Z","title":"Cosmos-Predict2: General-Purpose World Founda- tion Models for Physical AI,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:9db16322c8e44f1756b386f899dc8b11d862ae20633c557bb27f2c32e990dda1","observation_id":"020a99d7-8def-483f-8348-afa7e50228da","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","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":"2026-06-28T14:07:31.809341Z","title":"RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:a4c7ee2d1d8ef2402b438cdfd4053b3e9ba60e533a4454c6966cb1ad8b66ce3b","observation_id":"c897255c-b869-4d08-855f-02c212b0c298","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","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":"2026-06-28T14:07:31.809341Z","title":"OXE-AugE: A Large-Scale Robot Aug- mentation of OXE for Scaling Cross-Embodiment Policy Learning,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:28794cd8a1e79ad37a7214d62ba151421d1082040d6409c9307bedec8b78ca97","observation_id":"153d9d4a-285e-4f11-8f01-795a0aefa13b","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","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":"2601.05241","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T23:17:45.628576Z","title":"RoboVIP: Multi-view video generation with visual identity prompting augments robot manipulation.arXiv preprint arXiv:2601.05241, 2026a","venue":null,"work_id":"14e0afd3-8f63-4f59-9ced-20c0126ed2c9","year":2026},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:feaf935297cf4b2df33241872530254f86b31451efe5c7c084edad23ffe323c8","observation_id":"d755c8d1-ef22-47bc-987c-90c41e4df19b","resolution":{"observed_at":"2026-07-01T23:36:23.586820Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2505.23171","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T03:59:33.594018Z","title":"arXiv preprint arXiv:2505.23171 (2025)","venue":null,"work_id":"f82769c5-3648-452c-be6b-0b3ac76b7007","year":2025},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:680e7f141b91997698d7fe908fa077bd5ab4f1856282fba7f2d4f47668861e0a","observation_id":"669e485c-0503-47d6-9d3a-e81b3c85c404","resolution":{"observed_at":"2026-07-01T23:36:23.590502Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T14:07:31.809341Z","title":"ReBot: Scaling Robot Learning with Real-to-Sim-to-Real Robotic Video Synthesis,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:c601e0ccd35cd08084afeefc4d92ab4cfe16aaf510d9821b01a57887d7f008a1","observation_id":"d64c4412-d1ef-45b6-8c52-5aa23f5758c5","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"cited_paper":"/paper/2511.00062","citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:3bdc425c7d153e6faac97442f712fb2ae9751e593ffa9b465f475657adf550d2","observation_id":"47e0ba62-cfe3-4f77-8281-3863146feb2d","resolution":{"observed_at":"2026-07-01T23:36:23.584650Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T14:07:31.809341Z","title":"Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:16554350075303029eb0c2678e109d1ccedc1b4d1882c90434536c6dcf558622","observation_id":"46cd9fd1-0b6f-4189-88de-68ce2a7d90bc","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","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":"2601.16982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T20:50:11.205883Z","title":"arXiv preprint arXiv:2601.16982 (2026)","venue":null,"work_id":"b29aa2e0-00bd-4409-bcb0-6d797894181c","year":2026},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:b011fec3e0a351e87320122479a14d7c330d1020b15ac30d359d780a071aef8f","observation_id":"7d1698fa-0fed-45ff-bbf4-a4cc51797d6d","resolution":{"observed_at":"2026-07-01T23:36:23.588884Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T14:07:31.809341Z","title":"MimicGen: A Data Generation System for Scal- able Robot Learning using Human Demonstrations,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:cfe9c4e86a0c5466b3dc1b51f4114fa53a605a20ddfdd8480c40959ab0600a7a","observation_id":"0064ff85-3b87-4163-af6e-686c01c48e34","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","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":"2026-06-28T14:07:31.809341Z","title":"Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:507311c6bc25923ad917214df3f976bf4879f2609e99a00bc9965534744ef978","observation_id":"5f27c0ed-c627-431a-a5b2-5659ff7aa914","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","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":"2026-06-28T14:07:31.809341Z","title":"Demogen: Synthetic demonstration generation for data-efficient visuomotor pol- icy learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:423293592c488de151727654d1ea15b27e6e2ef57bf224a45f417bb3c9a91f52","observation_id":"68ec9c25-3091-4b61-ae0e-f8e6eb4267a9","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","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":"2026-06-28T14:07:31.809341Z","title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:2edf6bae4e1f43454e312ef80b607124f99f762d78f6de9d2a5e1ecd12b58ac4","observation_id":"3d41f928-8633-4301-9094-714315cfdb88","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.03267","last_updated":"2026-05-01T23:55:43Z","snapshot_observed_at":"2026-08-02T10:52:10.211700Z","submitted_at":"2025-12-19T07:05:38Z","title":"OpenAI GPT-5 System Card","version":2},"cited_work":{"arxiv_id":"2601.03267","doi":"10.48550/arxiv.2601.03267","metadata_source":"pith","pith_arxiv_id":"2601.03267","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"OpenAI GPT-5 System Card","venue":"cs.CL","work_id":"ca87689a-0d29-4476-b504-b65dbbb08af4","year":2025},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"cited_paper":"/paper/2601.03267","citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:29f001fc2680ef97c79cba89baec9da2bf61c6493e043b26b639eaa30fcda12b","observation_id":"25f189d0-3b85-481a-90f3-b3a865fa974a","resolution":{"observed_at":"2026-07-01T23:36:23.608651Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-03T00:38:11.458508+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-03T00:38:11.458508+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.14159","last_updated":"2024-01-25T13:12:09Z","snapshot_observed_at":"2026-07-06T17:20:25.138890Z","submitted_at":"2024-01-25T13:12:09Z","title":"Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks","version":1},"cited_work":{"arxiv_id":"2401.14159","doi":"10.48550/arxiv.2401.14159","metadata_source":"pith","pith_arxiv_id":"2401.14159","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks","venue":"cs.CV","work_id":"42c46ece-c4e8-4d5e-abae-f8d5b4208995","year":2024},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"cited_paper":"/paper/2401.14159","citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:b223c75b42f42e9f6389fd4f03fb46c35d403631a73b53c3a542856071a702e7","observation_id":"bfa745ef-41c9-4e75-8527-f021795a23aa","resolution":{"observed_at":"2026-07-01T23:36:23.612462Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T14:07:31.809341Z","title":"OmniPaint: Mastering Object- Oriented Editing via Disentangled Insertion-Removal Inpainting,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-28T14:07:31.809341Z"},"links":{"citing_paper":"/paper/2606.02577"},"observation_digest":"sha256:45c3663093399bb2f77ed33f6fabca01c853ebd0ae3881ed9cd23bdb4bd53ac8","observation_id":"e5bea983-f604-45d4-9d20-940a696bba78","resolution":{"observed_at":"2026-06-28T14:07:31.809341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.02577","last_updated":"2026-06-01T17:59:38Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:59:38Z","title":"RoboDream: Compositional World Models for Scalable Robot Data Synthesis"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":22,"verified_exact":9,"verified_fuzzy":0},"total_outbound_references":33},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2606.02577."}