{"as_of":"2026-08-06T14:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9ed71b98f84999c9f8544ae90287599bb723d24e9ee6c2a4a0c776f48ad817e7","coverage":[{"denominator":88,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":88,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-20T06:36:47.265734Z","state":"measured"},{"denominator":88,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":88,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+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/2605.19957/citation-record","integrity":"/paper/2605.19957/integrity","json":"/paper/2605.19957/citation-record.json","paper":"/paper/2605.19957"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Recurrent world models facilitate policy evolution","venue":null,"work_id":"ae7f99e6-6d49-4e52-8a1a-d7d113ce97e8","year":2018},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:4ffd754475c0dece2cac6037048bc7d0ae58f9006f8835b919f7204db14e9e9a","observation_id":"d23c753b-cdce-448d-a8e4-94eeba67f2e8","resolution":{"observed_at":"2026-05-20T06:38:06.124193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Mastering diverse control tasks through world models.Nature","venue":null,"work_id":"5fc5c0a5-889a-4176-bc6c-75372fca054a","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:babefb52b4cf726d8310f8097327bd59a993d24cc4935e373340845236017fcd","observation_id":"2d40781f-3811-4a5d-8bb2-85ab4639f22b","resolution":{"observed_at":"2026-05-20T06:38:06.069651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.21998","last_updated":"2026-03-22T15:37:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-01-29T17:07:43Z","title":"Causal World Modeling for Robot Control","version":2},"cited_work":{"arxiv_id":"2601.21998","doi":null,"metadata_source":"pith","pith_arxiv_id":"2601.21998","snapshot_observed_at":"2026-07-10T12:47:05.502321Z","title":"Causal World Modeling for Robot Control","venue":"cs.CV","work_id":"a33c4ee0-db06-4f9a-8852-c62e3a72fc27","year":2026},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2601.21998","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:217bff3c5b6e53cdfb2427d8275b47695b921f0364c1df38f5d89e2e8247d8d3","observation_id":"a19a8bc7-52fd-4e8d-979d-580fe3f41671","resolution":{"observed_at":"2026-05-20T06:38:05.663060Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Dreamgen: Unlocking generalization in robot learning through video world models","venue":null,"work_id":"1d5eb7e3-c806-4acf-9804-9695f85326df","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:3fb28006b75528f5d8900c509a01b89396363d94279daec47d43e1437fcf9c1c","observation_id":"e50022bd-9fd3-4a0e-8d35-ab29e06f4077","resolution":{"observed_at":"2026-05-20T06:38:06.105628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Learning interactive real-world simulators","venue":null,"work_id":"231aee26-27cc-4716-890d-c64a1e973d61","year":2024},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:e8c3f440d2533bba1bb1592bdd3bbc95c75200a41cdf77b67892738db7365cd9","observation_id":"4fec8993-9ba9-4ba9-beb1-3056287a71b6","resolution":{"observed_at":"2026-05-20T06:38:06.085133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Daydreamer: World models for physical robot learning","venue":null,"work_id":"0603a731-63e5-41c3-9814-c5cdf9811628","year":2023},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:a87ac43a55ff99ae9f96080021371d9f53749ea14f3837978f45ad70c7e3539d","observation_id":"88af185b-db97-43d5-bcf2-b02558e2d1d0","resolution":{"observed_at":"2026-05-20T06:38:06.081111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"FLARE: Robot learning with implicit world modeling","venue":null,"work_id":"ffa9fcf5-27fe-4aee-9f85-b8f43b6a9d32","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:18eb7d4f2e40ce48f2790efdb8372d6d73da14ab0af289bf77569d99851bcb5b","observation_id":"e68e723c-611d-4897-ada7-25313369798a","resolution":{"observed_at":"2026-05-20T06:38:06.083148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Cosmos policy: Fine-tuning video models for visuomotor control and planning","venue":null,"work_id":"98bc14a8-338c-467b-a62d-340ddac05181","year":2026},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:5d8e67e8fa7df4f720f99070eac4675b2010b44501406c7052dd505c5f5d46e2","observation_id":"c3edb3b3-3906-4360-9aa7-05aee0fa6873","resolution":{"observed_at":"2026-05-20T06:38:06.093210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.15922","last_updated":"2026-02-17T15:04:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","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":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2602.15922","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:829f954937e7e0958c99e2d16328836b05f3b492c7ef42645769073ccb3c12ff","observation_id":"029dbabd-7274-4677-9563-6a95f0db90b0","resolution":{"observed_at":"2026-05-20T06:38:05.656748Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+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":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Any-point trajectory modeling for policy learning","venue":null,"work_id":"a2b0568a-5e01-4109-b2de-121f70e5db68","year":2024},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:9b1063a95f144052d401fd4a850c4cd80a2239d001f8ad827f10a4678c5ff1f2","observation_id":"bd0dd0f5-a2ec-4d24-adfa-6ed73e6c79fa","resolution":{"observed_at":"2026-05-20T06:38:06.015519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2501.03575","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:cef97a116c16d5b3d9044e108f7caa748064973bfa5de80d59bd86bcca957276","observation_id":"90fbc7a4-0442-44db-97ee-ea967c87c4e8","resolution":{"observed_at":"2026-05-20T06:38:05.620538Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+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":"2026-08-06T06:34:23.284952+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":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2511.00062","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:f3552a65259e7e4ccfd25faed334ed8bba0be4bd58b4b2c8d13a56f37a69e863","observation_id":"2d959405-5891-4b63-899e-9b1337ae3a52","resolution":{"observed_at":"2026-05-20T06:38:05.636274Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.09600","last_updated":"2024-12-12T18:59:01Z","snapshot_observed_at":"2026-08-05T00:53:15.041432Z","submitted_at":"2024-12-12T18:59:01Z","title":"Owl-1: Omni World Model for Consistent Long Video Generation","version":1},"cited_work":{"arxiv_id":"2412.09600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.09600","snapshot_observed_at":"2026-07-03T20:28:55.530707Z","title":"Owl-1: Omni world model for consistent long video generation","venue":null,"work_id":"7229dc8c-33c8-4190-b5c8-2f7bc6e6ba76","year":2024},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2412.09600","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:ac78db8f4b3fce8435beaa2bddce9843e0b058fe273b876cf6c659b17a14dc8f","observation_id":"21c5e0a8-0bcc-4da0-b7d2-7e502ad2b871","resolution":{"observed_at":"2026-05-20T06:38:05.639325Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"WORLDMEM: Long-term consistent world simulation with memory","venue":null,"work_id":"ca342337-4a91-4eba-88ed-da463095b1f7","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:8bc9bdf4b3b2dfe3ea5ef5173793905f52f7a78e9531f08497234e9c01dbc583","observation_id":"20ecf15f-869d-4e95-a0e5-4cbfbbdf1532","resolution":{"observed_at":"2026-05-20T06:38:06.089300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.15281","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-01T22:16:17.115464Z","title":"StableWorld: Towards stable and consistent long interactive video generation","venue":null,"work_id":"ab2c77ce-372c-4a53-9607-aa228d0637eb","year":2026},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:cbc02c4029bc3054cf4c6ba7f3cc003bfa498ba4067e6dacd874970be6c331e5","observation_id":"a385e63b-5e4a-4a73-ac23-a22cd4f65d40","resolution":{"observed_at":"2026-05-20T06:38:05.643124Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.08995","last_updated":"2026-04-13T03:48:38Z","snapshot_observed_at":"2026-07-06T22:57:59.555972Z","submitted_at":"2026-04-10T06:00:09Z","title":"Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory","version":2},"cited_work":{"arxiv_id":"2604.08995","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.08995","snapshot_observed_at":"2026-07-09T07:56:04.713905Z","title":"Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory","venue":"cs.CV","work_id":"03ae1098-067d-4fea-90da-4ace0a031a03","year":2026},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2604.08995","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:eca788281ea8a7548dd42743aa5e901d4d8f6cc49def5774c43aa9f9d1d74f45","observation_id":"6d6451ef-6616-4439-a051-bed2ba05603a","resolution":{"observed_at":"2026-05-20T06:38:05.617521Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Genie: Generative interactive environments","venue":null,"work_id":"f5160acc-11b4-4cd4-be49-0b95ce1d8d50","year":2024},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:e270aa4d5fa546aa733a25d31aea1e78cd6823bbd4d186ff2c0f4fbad2eb94da","observation_id":"fc68e76a-2e74-4fd7-bc25-524d03b57261","resolution":{"observed_at":"2026-05-20T06:38:06.077280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Robodreamer: Learning composi- tional world models for robot imagination","venue":null,"work_id":"2c87cd4c-98a9-485e-844b-fa4075cef7e3","year":2024},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:2fca6724e347bc3a4d0214f2121e28e9815766eae75c0cb6404f53e111657c05","observation_id":"b780648a-8ab4-4cc5-9f84-3f796ba9b936","resolution":{"observed_at":"2026-05-20T06:38:06.079252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2511.09057","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T13:14:53.252836Z","title":"Pan: Aworldmodelforgeneral,interactable,andlong-horizonworldsimulation","venue":null,"work_id":"9df4502a-4028-43c9-9b40-8fea39effac4","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:91e678a280b8b983132a0fda0494e089d7ca8248f592cc3bed7c55cc25b8e35d","observation_id":"dbb33114-2c13-4fb6-a20f-41cc8b4f0cb2","resolution":{"observed_at":"2026-05-20T06:38:05.611622Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Tesseract: Learning 4d embodied world models","venue":null,"work_id":"9ebe7384-0258-485f-bcb4-a1406667692d","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:c6247ef279a97c085c39c6d51eb04f6a90e602fa5d177b3846b97823aeffa1dc","observation_id":"87c69eab-da7f-4b2d-b24a-70f905cb4727","resolution":{"observed_at":"2026-05-20T06:38:06.052481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Learning world models for interactive video generation","venue":null,"work_id":"e300a432-cb5a-4e7f-8fc4-96c8f5b561cb","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:7778068adad968e0cd94b8e0bdea5586038b30699532383311d81164ac6a621f","observation_id":"dcad6c66-b089-485c-9bd5-78b4cf20a784","resolution":{"observed_at":"2026-05-20T06:38:06.063497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"VideoREPA: Learning physics for video generation through relational alignment with foundation models","venue":null,"work_id":"74be4a72-6137-4d45-a0a5-93fe7a1a24a6","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:dba09247d1a937bb89686841ea6abfc4bd1eabe91d1bcdd1e7be8afca3fc0ad8","observation_id":"e2f9a099-f213-48aa-86b8-d810da47aa21","resolution":{"observed_at":"2026-05-20T06:38:06.067821Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"A path towards autonomous machine intelligence","venue":null,"work_id":"186a698c-1a33-460f-80f8-3b7cf590d585","year":2022},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:dd351cd94cef14f1bc7c357f1b1eaebd68b3f08ed56009c1682476f1a4c52ea6","observation_id":"b96bff0c-b4b9-40e3-94f8-c913459d7555","resolution":{"observed_at":"2026-05-20T06:38:06.048206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.09985","last_updated":"2025-06-11T17:57:09Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-11T17:57:09Z","title":"V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning","version":1},"cited_work":{"arxiv_id":"2506.09985","doi":"10.48550/arxiv.2506.09985","metadata_source":"pith","pith_arxiv_id":"2506.09985","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning","venue":"cs.AI","work_id":"a9c28401-f16a-4933-89f0-788e2f94e52b","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2506.09985","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:1d0dd751db41492cd16827effd97d9b24723cd35e87b3c088b2f0ef56c0ea20b","observation_id":"250b4241-be2e-418a-9eea-5ff991bce0dc","resolution":{"observed_at":"2026-05-20T06:38:05.598866Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-03T19:08:37.559938+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-03T19:08:37.559938+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Gem: A generalizable ego-vision multimodal world model for fine-grained ego-motion, object dynamics, and scene composition control","venue":null,"work_id":"e05142ca-b4dc-46a6-80c4-df96606deed3","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:6b397b8c8ece3e7981a3ae069f8ea12076b7bb24a71ae79ac1f88c2b29692c7e","observation_id":"41ac6e0c-c15b-4e39-8241-8dfb5e62e3c6","resolution":{"observed_at":"2026-05-20T06:38:06.071676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2509.21790","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T21:58:58.373860Z","title":"Longscape: Advancing long-horizon embodied world models with context-aware moe","venue":null,"work_id":"caeb63c1-0c93-4f8d-9491-fef3696bda86","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:e55fd91f3a51a36762ffe707fb2d68a2751ebe8ccc51322d2f43573b0fbf8598","observation_id":"9d8b8d26-fe06-4e07-843b-01bb8721f668","resolution":{"observed_at":"2026-05-20T06:38:05.650405Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Dexterous world models","venue":null,"work_id":"bbf02e8e-4104-47cb-903d-1fdb5dbfbe0e","year":2026},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:d52f2bac76eda3930a8d8628f6adf178ef8f75510fdcd36d9232603bf7162254","observation_id":"264d2cc0-417e-42b6-a2e1-3f6e9cefbc8d","resolution":{"observed_at":"2026-05-20T06:38:06.046110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Towards long-horizon vision- language navigation: Platform, benchmark and method","venue":null,"work_id":"6f10b010-0556-47e4-ac69-e9da550cf68e","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:cba5f96fba3a9c09b16548a239ae3303537d68e68b936b7e39b32d734d954338","observation_id":"9495982d-a414-438f-9932-cd16b56f8c47","resolution":{"observed_at":"2026-05-20T06:38:06.037306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Mobility VLA: Multimodal instruction navigation with long-context VLMs and topological graphs","venue":null,"work_id":"02941973-dc78-41f7-8603-f4f87101b397","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:23a68d42d98838951f6e5b4ecbe9a6e22cd89433576f34ccc2cfbc0908d262b4","observation_id":"0dcd6740-9f27-4cb7-8f23-991e792d77a1","resolution":{"observed_at":"2026-05-20T06:38:06.065740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"MoManipVLA: Transferring vision-language- action models for general mobile manipulation","venue":null,"work_id":"f8ad8c4b-ecb3-409f-8012-2fa5013eb249","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:da186030c6cfdf632d529438432bb5528f0e019c0369ce4022a7ae3da18c4a66","observation_id":"e0014e4d-784b-4eae-a2e7-9b392ba35f2c","resolution":{"observed_at":"2026-05-20T06:38:06.061305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13211","last_updated":"2025-05-19T14:58:50Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-19T14:58:50Z","title":"MAGI-1: Autoregressive Video Generation at Scale","version":1},"cited_work":{"arxiv_id":"2505.13211","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.13211","snapshot_observed_at":"2026-07-10T01:46:41.063877Z","title":"MAGI-1: Autoregressive Video Generation at Scale","venue":"cs.CV","work_id":"25e8bd3d-e51c-43ae-8126-4ea6ecdb3321","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2505.13211","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:da0c9b5f28ef1face7377fcc97ec15c719ad67ee54122ef2df2bcdd5250c9f0c","observation_id":"f249b379-e18e-4948-9898-9b2525340e98","resolution":{"observed_at":"2026-05-20T06:38:05.633588Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Diffusion forcing: Next-token prediction meets full-sequence diffusion","venue":null,"work_id":"81ff1e51-c894-42f3-9c57-34e69e5cce53","year":2024},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:5bbcab55e69dd8af7993c439447afca0c1946bf59e613d4b62b05462064d9d2e","observation_id":"5e928f8b-cbb3-4057-b48d-75fd9d2b7fc7","resolution":{"observed_at":"2026-05-20T06:38:06.054475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-07T19:34:07.494231Z","title":"Rolling forcing: Autoregressive long video diffusion in real time","venue":null,"work_id":"4017815b-b943-4318-b4b5-007d25b31d1b","year":2026},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:8356fe824328c950d1ad7cea027ea62b856d6f8397d19fe46316690681ead12a","observation_id":"07986733-7800-4209-a755-4c26760777ad","resolution":{"observed_at":"2026-05-20T06:38:06.022848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.07775","last_updated":"2026-05-03T01:49:14Z","snapshot_observed_at":"2026-07-30T09:22:37.641917Z","submitted_at":"2026-02-08T02:16:02Z","title":"Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion","version":6},"cited_work":{"arxiv_id":"2602.07775","doi":null,"metadata_source":"pith","pith_arxiv_id":"2602.07775","snapshot_observed_at":"2026-07-10T01:46:41.027454Z","title":"Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion","venue":"cs.CV","work_id":"ee9b6bbe-6f3e-4344-b631-395401ca5b33","year":2026},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2602.07775","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:bc741771bbcd55cc2a9c212beb1cbc1162484a1b37c8a9df66c3fa7a5b26e0ff","observation_id":"cc428f4a-770c-4798-bf5a-8680af789ed3","resolution":{"observed_at":"2026-05-20T06:38:05.579396Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2511.20649","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T23:59:07.583971Z","title":"Infinity-RoPE: Action-controllable infinite video generation emerges from autoregressive self- rollout","venue":null,"work_id":"bf98ead3-5902-4e92-9114-acd0c26e93c5","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:54c24962670f598916205801c71e7218589d16bc1d8f06dc288c7fa6e3f7c403","observation_id":"f43758bd-fc96-410e-9b16-15baf678398d","resolution":{"observed_at":"2026-05-20T06:38:05.592162Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"VBench++: Comprehensive and versatile benchmark suite for video generative models.IEEE TPAMI","venue":null,"work_id":"fb299650-58f4-4c44-8586-8e4fec12b07e","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:d6ca89c7dd5b8abe0509ea172f6cdb935897bb9d0c37526df59b8aa7ef887c2b","observation_id":"b69cf3f4-55e6-47b7-8d59-e6fd8ec84820","resolution":{"observed_at":"2026-05-20T06:38:06.032708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Worldmodelbench: Judging video generation models as world models","venue":null,"work_id":"2483d392-4818-4966-a59f-69b766a40933","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:7f48fa0cbe0f97c11cccf0617191b93a3e8805c316e710caa8347351fcd96cf9","observation_id":"7a125abd-43c8-43f2-81e9-7c6fe25480c9","resolution":{"observed_at":"2026-05-20T06:38:06.034921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Rethinking video generation model for the embodied world","venue":null,"work_id":"c3904125-efba-465b-9b7d-9a414ede724a","year":2026},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:86ab73e15d17d70328196c084ea8fb23dcee5a43415805cbd03817873e8c0a9a","observation_id":"7a9948fa-6688-4c38-b4ea-80ef9ebc17ab","resolution":{"observed_at":"2026-05-20T06:38:06.024797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2602.08971","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T07:14:45.180891Z","title":"Worldarena: A unified benchmark for evaluating perception and functional utility of embodied world models","venue":null,"work_id":"be15f0b3-60ac-4f1c-ade5-14e231a98c90","year":2026},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:88816379e9ae5db6b6eac60024127017fffc06e8fceb2e9bb0683b0d13365a03","observation_id":"650f7cdb-a335-475f-92b3-f4c4f1c74031","resolution":{"observed_at":"2026-05-20T06:38:05.624156Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"BEHA VIOR-1K: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation","venue":null,"work_id":"c08d8ef3-ccc2-4523-9d06-c859df7a941e","year":2023},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:76ead3c526d1de9e3ab865a0512b074b0e41cfeef33d304e4968dfc07a6d8774","observation_id":"b6f35a44-9285-40ce-925c-c4d76b4ccd43","resolution":{"observed_at":"2026-05-20T06:38:06.128594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Dream to control: Learning behaviors by latent imagination","venue":null,"work_id":"e2d867a9-7537-4880-8c85-5efed607e1af","year":2020},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:60189321d8fcbbc973592f2e376332a895b5966248c99893e66290595b258a21","observation_id":"9e52fcb1-3816-454c-be5d-e62fe9c1c83b","resolution":{"observed_at":"2026-05-20T06:38:06.017505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":"7de45158-c443-465e-ac59-3d04db7662fc","year":2020},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:70ac647dd88c21c36ee4a58e741f341573a384f56594c80e8abc0bcc9c8f108b","observation_id":"77d65a72-9a60-4ca4-a25d-b5ed72313029","resolution":{"observed_at":"2026-05-20T06:38:06.027066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":"04360c1f-d85f-436c-a1ad-ffa5e45aabbe","year":2022},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:5e8023230070ebfff2ace95904b4ba3008675b1e5bf68f6fbd269e9080c54f05","observation_id":"2e435714-e872-4ea0-8cc0-c2ee22d11a82","resolution":{"observed_at":"2026-05-20T06:38:06.043741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17177","last_updated":"2024-04-17T18:41:39Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-27T03:30:58Z","title":"Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models","version":3},"cited_work":{"arxiv_id":"2402.17177","doi":"10.48550/arxiv.2402.17177","metadata_source":"pith","pith_arxiv_id":"2402.17177","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models","venue":"cs.CV","work_id":"49aeafea-5763-4b8e-aff4-8fa617aacb1f","year":2024},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2402.17177","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:c77117d558e67fff9248b8a0115c34df722b982f0c7df1f1fc92f81c8fe2ed5d","observation_id":"7b01c368-bd60-4353-a179-74cb4c728ce6","resolution":{"observed_at":"2026-05-20T06:38:05.605058Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20314","last_updated":"2025-04-19T02:22:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","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":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2503.20314","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:70b0b4d47ac1f3b743c9005c4f0de9e43c8a8f3fb4a299d458e69026aeb6c76a","observation_id":"a0eee9b6-9c45-4144-af6b-d3c08d9894b7","resolution":{"observed_at":"2026-05-20T06:38:05.595178Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"CogVideoX: Text-to-video diffusion models with an expert transformer","venue":null,"work_id":"c8fd67b9-df1a-49d5-bada-5e10dee2859f","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:32a7941c87c7791675f0aa4c82abaea86f0bd077a910dc42fa3f677e198a1051","observation_id":"05cdecc4-9d59-4db6-8dff-b00a0755b3c3","resolution":{"observed_at":"2026-05-20T06:38:06.039479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Genie 2: A large-scale foundation world model","venue":null,"work_id":"a52fee22-0eab-4385-8ef6-1063e66dd0ca","year":2024},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:8262d2316c3d2330511256986755c917e8c60a11b658500f0ec902366cbe37f3","observation_id":"9333ada2-8197-409a-94bb-f38d5f18315a","resolution":{"observed_at":"2026-05-20T06:38:06.041459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2412.20404","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:106e8dac974eb0b3fbad717fe5f4c9440d7a24e0d312fc104da78e06bfb001f0","observation_id":"8590ecf6-e335-4f7a-a36f-2692929b8c26","resolution":{"observed_at":"2026-05-20T06:38:05.588638Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Vid2World: Crafting video diffusion models to interactive world models","venue":null,"work_id":"a65c6305-64aa-410b-abaf-9045a2eb27ff","year":2026},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:abf83473ba1e1a98cc58c32bbabc90545b5ca224d5244ec6acadd841afcaa47c","observation_id":"a52923ff-473c-43e3-a569-798cccba3f77","resolution":{"observed_at":"2026-05-20T06:38:06.050356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.13009","last_updated":"2026-04-07T11:37:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-18T15:28:53Z","title":"Matrix-game 2.0: An open-source real-time and streaming interactive world model","version":4},"cited_work":{"arxiv_id":"2508.13009","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.13009","snapshot_observed_at":"2026-07-09T07:56:04.730683Z","title":"Matrix-game 2.0: An open-source real-time and streaming interactive world model","venue":"cs.CV","work_id":"492a2d34-e672-45fb-8f54-c720d2dfae5a","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2508.13009","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:c11346e445bbcb21f9b13329355d621b5ad8d97bdddb0e7490f999d8a2f5ea7f","observation_id":"a99eb45f-bcb2-456d-9d55-eecaf3de33e5","resolution":{"observed_at":"2026-05-20T06:38:05.585462Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.03603","last_updated":"2025-03-11T08:14:25Z","snapshot_observed_at":"2026-08-03T00:44:01.942521Z","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":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2412.03603","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:72c6e2390c055f28c8a0161b92309d698798db6272122b25cefca7b3a85bb9df","observation_id":"3c00d4b8-ac54-4f30-a893-1e1d42e88f95","resolution":{"observed_at":"2026-05-20T06:38:05.608300Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+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":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"MotionCtrl: A unified and flexible motion controller for video generation","venue":null,"work_id":"3aaf6108-ca2b-40e9-bc62-6dabae3dd8b9","year":2024},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:ec6fe666c0e9b43c7dd5839247bd5b29b57aed7ceb2b0b5a6e1825b72c9b1e56","observation_id":"4a075017-1cac-4903-8322-389a10c74f2b","resolution":{"observed_at":"2026-05-20T06:38:06.130819Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"FloVD: Optical flow meets video diffusion model for enhanced camera-controlled video synthesis","venue":null,"work_id":"8b14d073-1ab6-45a9-b94f-f3a55e5e9f26","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:6430007dd53f56966a94d3d4844665840777cd8300f550c5b59752e2d25b576d","observation_id":"6875d7f4-aabb-441e-861b-7dd8163b309b","resolution":{"observed_at":"2026-05-20T06:38:06.028889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.09429","last_updated":"2026-05-29T10:18:20Z","snapshot_observed_at":"2026-07-12T23:14:50.751272Z","submitted_at":"2026-04-10T15:47:23Z","title":"Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories","version":4},"cited_work":{"arxiv_id":"2604.09429","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.09429","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories","venue":"cs.CV","work_id":"1d6e16bd-437a-4452-8000-b75eebb93bd6","year":2026},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2604.09429","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:cfa76f0625ac9b3f96736815feea6977759a0e8e4f3788c7b08c7ed35580f1f1","observation_id":"a462c287-0dd4-4127-8011-b708f81d0f4d","resolution":{"observed_at":"2026-05-20T06:38:05.630553Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Motion attribution for video generation","venue":null,"work_id":"135fbb0e-2d92-4f46-8f56-227f358dcc68","year":2026},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:1fd8e0cc52e715abbb44b05e318edf3da3e8fd9f42f59ecd6d9d6801a4dd6ecc","observation_id":"9aeab5b2-58cc-4dcd-a3a4-f2d45f4a22e4","resolution":{"observed_at":"2026-05-20T06:38:06.132548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.03568","last_updated":"2024-12-04T18:59:05Z","snapshot_observed_at":"2026-07-06T20:01:45.826971Z","submitted_at":"2024-12-04T18:59:05Z","title":"The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control","version":1},"cited_work":{"arxiv_id":"2412.03568","doi":"10.48550/arxiv.2412.03568","metadata_source":"pith","pith_arxiv_id":"2412.03568","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The matrix: Infinite-horizon world generation with real-time moving control","venue":"cs.AI","work_id":"11e7c591-d2c5-4d62-9b5e-f9078c35db2e","year":2024},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2412.03568","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:4f172fc9d8c7045643a520a0f6bb036f899ccbd6802df3f4e3a6368c6f653d80","observation_id":"768c3ed4-d20e-482b-a5a7-92962342cc1f","resolution":{"observed_at":"2026-05-20T06:38:05.666168Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.17744","last_updated":"2025-07-23T17:57:09Z","snapshot_observed_at":"2026-08-01T22:55:14.174313Z","submitted_at":"2025-07-23T17:57:09Z","title":"Yume: An Interactive World Generation Model","version":1},"cited_work":{"arxiv_id":"2507.17744","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.17744","snapshot_observed_at":"2026-07-08T10:54:49.210345Z","title":"Yume: An interactive world generation model","venue":"cs.CV","work_id":"15c931d5-49da-401c-8c91-5b0de83195de","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2507.17744","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:c484f5b79e61a957f376d290c3a2d2e38d8cbbf4ce41803e302ef70a43993750","observation_id":"ce034579-582b-41e2-b65f-c1529d605b92","resolution":{"observed_at":"2026-05-20T06:38:05.659767Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2602.03747","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T14:17:02.584894Z","title":"Live: Long-horizon interactive video world modeling","venue":null,"work_id":"663a2f6f-70f9-423c-afb1-d9c69be99914","year":2026},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:b8c9ded84a8e81414ef0098a6e4901931177a8e512bbdd49f8e61ca3aae5e2d6","observation_id":"1be52e9e-1cd8-4b21-8f1e-37cd4967bd1b","resolution":{"observed_at":"2026-05-20T06:38:05.646637Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Roboscape: Physics-informed embodied world model","venue":null,"work_id":"cbf543a2-1603-4800-9acd-eb0f92695829","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:93963cccb207fc70bb844ceaca5fae8cde84751a04036fd2f68f431750562529","observation_id":"dab48ae7-fe7a-4bbc-aee1-b42bcdb04826","resolution":{"observed_at":"2026-05-20T06:38:06.120274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"BridgeData V2: A dataset for robot learning at scale","venue":null,"work_id":"f1a801cd-bfa0-457b-96ec-910c2f57c163","year":2023},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:2c7100ef951965cde2b7e587536d3323997008af8123bfeb4c3a242da7aefcdb","observation_id":"ecc6f345-d336-4135-9d91-2486bf166b4f","resolution":{"observed_at":"2026-05-20T06:38:06.122135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2506.06205","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Astra: Toward general-purpose mobile robots via hierarchical multimodal learning","venue":null,"work_id":"80c68e9f-24d6-4bb3-899c-aa961f0d1226","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:eba081ca6f389f77dc4d4d12a8308ea0e149c1d77494b59ee8ccdd3bf7f89d8a","observation_id":"1bc5e16b-2395-465a-a878-d878d7a7d086","resolution":{"observed_at":"2026-05-20T06:38:05.627585Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.13030","last_updated":"2025-12-25T08:16:05Z","snapshot_observed_at":"2026-07-06T22:38:59.725645Z","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":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2512.13030","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:fdfac9d2d410dc01fb07792a396cebf92b0c73a0de5bc48e6ce0ae2f29f0d034","observation_id":"c01da346-445a-4a12-9499-612fe71dc20e","resolution":{"observed_at":"2026-05-20T06:38:05.653566Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.15840","last_updated":"2026-05-08T06:37:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-17T18:35:54Z","title":"Large Video Planner Enables Generalizable Robot Control","version":2},"cited_work":{"arxiv_id":"2512.15840","doi":null,"metadata_source":"pith","pith_arxiv_id":"2512.15840","snapshot_observed_at":"2026-07-10T18:47:31.628749Z","title":"Large Video Planner Enables Generalizable Robot Control","venue":"cs.RO","work_id":"6f56b125-35ab-41da-aa0c-d118d706bf3a","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2512.15840","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:00bfcde90b3e40b4f16df9f9a711d2fc7920a1d5ab38d1725d47a3df9f3de0c2","observation_id":"27ec94b9-7fcf-40f8-845d-d740c94d1aa2","resolution":{"observed_at":"2026-05-20T06:38:05.602010Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2509.22642","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T22:16:36.370407Z","title":"Wow: Towards a world omniscient world model through embodied interaction","venue":null,"work_id":"a017f7e5-e19f-4d95-9a08-adad24ce0535","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:0576740bf3371469cbea9f5889726ff46e6647600bad9b5510353dfe67fc36ff","observation_id":"19f18501-5b31-466b-9f0d-e30fb9db3006","resolution":{"observed_at":"2026-05-20T06:38:05.575833Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Ctrl-world: A controllable generative world model for robot manipulation","venue":null,"work_id":"57b688b7-1978-4f37-bfdb-77b6f5af9906","year":2026},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:99dba646ce74d7309bcb200e5ee752940563d1262d92a232c912dc2a53ad7c80","observation_id":"88fd9be5-b288-4f83-a5aa-8208b30e0103","resolution":{"observed_at":"2026-05-20T06:38:06.019348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2602.10098","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T22:56:37.617412Z","title":"Vla-jepa: Enhancing vision-language-action model with latent world model","venue":null,"work_id":"32706181-717a-461d-87e8-271938e76e0b","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:61dcce3b78d7c3a9199a49db665fc52c0dea8726949a33b3f123e1184a7d6811","observation_id":"062436eb-72d1-4301-95ad-814e195db16f","resolution":{"observed_at":"2026-05-20T06:38:05.572447Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"JanusVLN: Decoupling semantics and spatiality with dual implicit memory for vision-language navigation","venue":null,"work_id":"382c5770-2fe0-45ef-85ff-20f4f685c04f","year":2026},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:2f9b015f0e62d8c9ec06466f01c641b092ff3e184e6fd3ab3364debac81785d7","observation_id":"000dd9da-a886-49db-8fb4-7585e1037e6c","resolution":{"observed_at":"2026-05-20T06:38:06.101438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"4D-VLA: Spatiotemporal vision-language-action pretraining with cross-scene calibration","venue":null,"work_id":"9787bdb9-00f4-4f3c-8a02-cf69228e6eba","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:d49e323d03a24358e54f62b37b8065ad0dccc09fbde9c5591f98d40a779f756d","observation_id":"5bc90833-8b69-42ca-92cb-c8340c869449","resolution":{"observed_at":"2026-05-20T06:38:06.057098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Unified world models: Coupling video and action diffusion for pretraining on large robotic datasets","venue":null,"work_id":"e343400e-e521-48cf-9132-b96156761867","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:bdd0ca811dc49467be0df50a767711475c9b957b9342008d09fe4aebd9d7470b","observation_id":"a6b25baa-8594-4ac2-a42e-1f28f20022d7","resolution":{"observed_at":"2026-05-20T06:38:06.059186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Iso-Dream: Isolating and leveraging noncontrollable visual dynamics in world models","venue":null,"work_id":"f122341d-1d8f-4bbc-af83-30fcbff72889","year":2022},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:9e92c0577cfead8e2cbb7929310f981f31a02b7d6ac0f4db5684526382ec6668","observation_id":"cfc137aa-6d99-4a85-8623-d97149cb48f1","resolution":{"observed_at":"2026-05-20T06:38:06.074180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2511.21631","last_updated":"2025-11-27T12:16:54Z","snapshot_observed_at":"2026-07-06T22:37:03.716474Z","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":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2511.21631","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:7277e444421f33b61510c4d051cdc10a4a3f6d889d3c9062bfb6a343f8d80ae2","observation_id":"cfce3eab-fa01-4b49-8a2d-14e3471d8d41","resolution":{"observed_at":"2026-05-20T06:38:05.582461Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.JMLR","venue":null,"work_id":"281d5c8d-b7ed-4249-ac56-495a14788892","year":2022},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:a73536c60da6535217cd855f821645ff35785b21d9306be8d98294a38163a542","observation_id":"d7e177ee-f076-4bdd-93d0-75583cd815d7","resolution":{"observed_at":"2026-05-20T06:38:06.103323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04088","last_updated":"2024-01-08T18:47:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-08T18:47:34Z","title":"Mixtral of Experts","version":1},"cited_work":{"arxiv_id":"2401.04088","doi":"10.48550/arxiv.2401.04088","metadata_source":"pith","pith_arxiv_id":"2401.04088","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mixtral of Experts","venue":"cs.LG","work_id":"0de8c352-9daa-4e1e-8c7b-3d0dec69f369","year":2024},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2401.04088","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:e59aa4dde296e22f5ab307e9f16883a2bf661478f12419309a3fcdf7bd9d1882","observation_id":"c87a9151-46f4-43aa-861d-4bbf330ddea8","resolution":{"observed_at":"2026-05-20T06:38:05.614210Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-09T08:48:39.110013+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-09T08:48:39.110013+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Vision transformers for dense prediction","venue":null,"work_id":"73ad9d0c-7b5b-45c8-81d2-bf8f34c27b44","year":2021},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:8ba26e6c20ffe9adf5fc2d8fd6b1b4cbf1e05b492d9dd8830dad7ead9e8097f1","observation_id":"9ce97c76-52c2-4ba0-bf8c-82eca7851f7e","resolution":{"observed_at":"2026-05-20T06:38:06.030905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7e5bde33-e9f3-4263-a6c4-ceb6ad0b0b26","year":2023},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:9e6fafd5b44204b64d8effde5b66660e50ce6d3bb357dd20990bfd673aab05ce","observation_id":"7f9dd8d0-d465-43f9-ad34-92638104f418","resolution":{"observed_at":"2026-05-20T06:38:06.021083Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Dice loss for data-imbalanced NLP tasks","venue":null,"work_id":"ef6106d3-a21a-4bd4-bb6a-fd01a9476790","year":2020},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:d4924fd1705cfe19ed9dd21fc0f7a406896d54114cff569becef7885c35e4ede","observation_id":"0019201d-93ab-4fbc-a79b-c5a43f2d0909","resolution":{"observed_at":"2026-05-20T06:38:06.095105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"VBench: Comprehensive benchmark suite for video generative models","venue":null,"work_id":"ba3cd8bb-12e2-433e-a1d7-239ec9c1b819","year":2024},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:8446011e2cb929b0ea6d5c19b596ad52f41e85571121074fb8a11a87c8387fc9","observation_id":"65ed45e4-f996-4f87-9576-2e2077bf6292","resolution":{"observed_at":"2026-05-20T06:38:06.099579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21755","last_updated":"2025-08-20T15:49:30Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-27T17:57:01Z","title":"VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness","version":2},"cited_work":{"arxiv_id":"2503.21755","doi":"10.48550/arxiv.2503.21755","metadata_source":"pith","pith_arxiv_id":"2503.21755","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness","venue":"cs.CV","work_id":"14060202-ac5f-48e9-b91a-24d150775431","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"cited_paper":"/paper/2503.21755","citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:6034a24cf9fc46cc95505bdc906a3efec46c995adb2cbb5db7e701abc93c3c8d","observation_id":"69412894-ea02-48f8-8557-4a4b19f957fa","resolution":{"observed_at":"2026-05-20T06:38:05.568899Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"IRASim: A fine-grained world model for robot manipulation","venue":null,"work_id":"36a72086-1df6-4fc7-a282-4bb9edc3118b","year":2025},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:d7214df2d6bbd2dec396a24dbd9d3c64fbb4b4021513228496dfc5561f8a7052","observation_id":"97d00d15-2004-40e7-9a3a-73190508928c","resolution":{"observed_at":"2026-05-20T06:38:06.087503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Raft: Recurrent all-pairs field transforms for optical flow","venue":null,"work_id":"1e8c2578-9336-4298-a36a-c1ad7268fad9","year":2020},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:0cf489cffe7f19c2f1575f44e97965d854df63cec70052feeb3686fea7f0760e","observation_id":"870007e3-881a-4a5e-815d-99202fb2623f","resolution":{"observed_at":"2026-05-20T06:38:06.091334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":"554e0929-cfc3-407c-a923-32a6ef205c2d","year":2018},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:e87eef4e98999d6e399b60a5467832be0cefbeca57dd1844792de57eb9cab15f","observation_id":"7ccc4138-74e3-46ff-86e2-378aeb91a7ec","resolution":{"observed_at":"2026-05-20T06:38:06.097523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"9bffbdb8-c258-4baa-9649-552136632c24","year":2021},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:cd3937d29021c8047ffd4e09ea9e39b8e5c73b6a5d49fca81d9c0ab4714a658f","observation_id":"0857f8a8-d4aa-4261-882a-940e3861312c","resolution":{"observed_at":"2026-05-20T06:38:06.126676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-10T11:07:02.547593Z","title":"Scalable diffusion models with transformers","venue":null,"work_id":"51591e0a-915f-461d-a2d5-80a2b814e083","year":2023},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:6c18c9e451bd36e7875d1b0b5c66f837fdc4be532c196a89611e19c32a98ef3b","observation_id":"dc3a594d-2110-48dd-919e-bbf8dcea8742","resolution":{"observed_at":"2026-05-20T06:38:06.114171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Learning phrase representations using rnn encoder–decoder for statistical machine translation","venue":null,"work_id":"a61105c1-95e9-40c4-b400-d6da78d8a66a","year":2014},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:98ae362082ae98977893643735c05713aa0efad842089ae2083c318998f718a9","observation_id":"e24b3160-f17f-4259-ac48-51ae621a0c1e","resolution":{"observed_at":"2026-05-20T06:38:06.116554Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"lower-left and lower-right of frame","venue":null,"work_id":"7872d4ba-204f-4a57-aef0-fbf4da32b934","year":null},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:026196ee7254453c65a089a58eb3c1fbafbd611e0e942701d15d31f7b76100ef","observation_id":"4ca12977-1c74-4bac-ab4f-8802a1cd8664","resolution":{"observed_at":"2026-05-20T06:38:06.111900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"43c956e9-47b4-4c75-84e5-be241c1b9e72","year":null},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:0132a6bfc758bfa9ac3b2027cc4445cbf45fe7665cb041a2896f4719c59d12ab","observation_id":"795eaa33-9323-44a7-8d5a-ba4313681d80","resolution":{"observed_at":"2026-05-20T06:38:06.107584Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"clip 3 of 5, 60% through this action","venue":null,"work_id":"0a441125-d00c-4d0a-9421-d46f02d5cf73","year":null},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:bf54b90228fdf63660d871cf1a0371940f61bfc89395ace5887e2ab9d2a0d894","observation_id":"a8dba1e3-0c4e-41c7-9021-5fe43613c0a2","resolution":{"observed_at":"2026-05-20T06:38:06.109779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"forward”, “left","venue":null,"work_id":"cefb2da8-4ab2-4393-bf98-7e2f1a4613cd","year":null},"citing_paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-05-20T06:36:47.265734Z"},"links":{"citing_paper":"/paper/2605.19957"},"observation_digest":"sha256:4e2265dacf5f2f28290b07f9f7c6abd6cdaba43de7d0e72f3625504899f24e53","observation_id":"4e4fbcb5-a54b-4019-bf7d-2fabe11987f5","resolution":{"observed_at":"2026-05-20T06:38:06.118433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.19957","last_updated":"2026-05-19T15:10:27Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:10:27Z","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks"},"reference_resolution":{"displayed":88,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":2,"verified_exact":30,"verified_fuzzy":54},"total_outbound_references":88},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 0 inbound Pith citation observations for arXiv:2605.19957."}