{"as_of":"2026-08-20T06:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7707df61e41e3ccfba822653c5afe7b94245c973d8c79c72492d11367931cc4e","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T00:31:25.374457Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2608.01127/citation-record","integrity":"/paper/2608.01127/integrity","json":"/paper/2608.01127/citation-record.json","paper":"/paper/2608.01127"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:31:26.420535Z","title":"Happyoyster: Real-time interactive world model, 2026","venue":null,"work_id":"9160878a-1cf8-463a-8dd6-348640248e2f","year":2026},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:23.910817Z"},"links":{"citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:0983fb6e0affb48de8dedb72c4f0f4c4ca6781cd4522147b8ce3cdd36ad62f86","observation_id":"cbc58aa8-0141-4ff4-b2c4-895a31a29248","resolution":{"observed_at":"2026-08-06T00:31:26.426701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T00:31:26.401933Z","title":"Diffusion forcing: Next-token prediction meets full-sequence diffusion","venue":null,"work_id":"3ac13ebd-b4bb-41c7-b311-a4b9248e0394","year":2024},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:23.987597Z"},"links":{"citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:d5377c428a1c850c6a919e2d51e6710ff7439762b347d4cb7157a9899850095c","observation_id":"f0d50057-9631-49b1-879a-f3b6a27c53da","resolution":{"observed_at":"2026-08-06T00:31:26.407304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:31:24.067488Z","title":"Dreamx-world 1.0: A general-purpose interactive world model, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:24.067488Z"},"links":{"citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:0e977760a7a68e0011ae77b5a457c6554feab2345886204b1b5e0b4374b04623","observation_id":"731e9231-1287-4b31-b08b-968fdf50857f","resolution":{"observed_at":"2026-08-06T00:31:24.067488Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:31:26.382969Z","title":"Mirage 2: Ai-native ugc game engine powered by real-time world models, 2025","venue":null,"work_id":"2f4b3ddd-f3ea-4da8-b48d-df4ef3dc13c3","year":2025},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:24.152832Z"},"links":{"citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:175d8a68420c18173b9feb0d621083ec6790de2017d0cb3e0136225f46c2b3cc","observation_id":"058eb863-9531-4dc7-84a8-dac84f07e640","resolution":{"observed_at":"2026-08-06T00:31:26.387879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03206","last_updated":"2024-03-05T18:45:39Z","snapshot_observed_at":"2026-08-13T01:47:21.043519Z","submitted_at":"2024-03-05T18:45:39Z","title":"Scaling Rectified Flow Transformers for High-Resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.03206","snapshot_observed_at":"2026-08-06T00:31:24.173735Z","title":"Scaling rectified flow transformers for high-resolution image synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:24.173735Z"},"links":{"cited_paper":"/paper/2403.03206","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:bcf45a9ab95c182d09deaaaccfa95f64ba12e2ff7935f174f0f278bc21f406d2","observation_id":"21b8cbac-3fe3-4e03-934e-8ee40257cc3e","resolution":{"observed_at":"2026-08-06T00:31:24.173735Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.16375","last_updated":"2025-05-21T10:38:01Z","snapshot_observed_at":"2026-08-17T01:27:04.025030Z","submitted_at":"2024-11-25T13:33:41Z","title":"Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.16375","snapshot_observed_at":"2026-08-06T00:31:24.245292Z","title":"Ca2-vdm: Efficient autoregressive video diffusion model with causal generation and cache sharing","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:24.245292Z"},"links":{"cited_paper":"/paper/2411.16375","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:2ba76b92636eb45c44ab07fa492ce78605957c7e4094322ac71fe17ea72e0e5f","observation_id":"b5138675-3957-4e47-ba3f-3a01b3ffe7a2","resolution":{"observed_at":"2026-08-06T00:31:24.245292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:31:26.364496Z","title":"Dreamdojo: A generalist robot world model from large-scale human videos,","venue":null,"work_id":"fd3f82d6-faeb-4111-b823-e88fb3afc36f","year":null},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:24.406621Z"},"links":{"citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:3ffb4a2579e85c89fcbed761e592a6cb782b7b8921b5578139e180b5797c6a63","observation_id":"61dcc170-0bc2-40ec-8404-2bfa77f1a582","resolution":{"observed_at":"2026-08-06T00:31:26.370594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2607.07534","last_updated":"2026-07-08T15:33:25Z","snapshot_observed_at":"2026-08-17T14:37:02.087364Z","submitted_at":"2026-07-08T15:33:25Z","title":"Infinite Worlds with Versatile Interactions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2607.07534","snapshot_observed_at":"2026-08-06T00:31:24.672823Z","title":"Lingbot-world 2.0: Infinite worlds with versatile interactions, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:24.672823Z"},"links":{"cited_paper":"/paper/2607.07534","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:5a8a65b02d375f0be9f87e749939ec6d22c490afbcdd636e7f3a57ed0efec24f","observation_id":"c40dc53d-42b7-42a5-b055-a18489c0c6b5","resolution":{"observed_at":"2026-08-06T00:31:24.672823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:31:26.347129Z","title":"Genie 3: A new frontier for world models, 2025","venue":null,"work_id":"e915a73f-0852-435d-a95a-e14033866082","year":2025},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:24.800715Z"},"links":{"citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:4965707d9025501e142a18758a4fc23cb176b5e0ad6131ff1eb7de34a588f602","observation_id":"b465b94a-3ff4-47b7-b412-e3957b150445","resolution":{"observed_at":"2026-08-06T00:31:26.352861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T00:31:26.326087Z","title":"Recurrent world models facilitate policy evolution","venue":null,"work_id":"9b654e9e-9e7d-4c9b-8849-34c96499be48","year":2018},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:24.868353Z"},"links":{"citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:14300a12fa63eee5439ccbc5558bc761b54b51a55cd97c795bcd607db6d71ea1","observation_id":"bca26e8d-ee06-41e7-941c-674314856bdb","resolution":{"observed_at":"2026-08-06T00:31:26.331120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.04104","last_updated":"2024-04-17T17:41:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-01-10T18:12:16Z","title":"Mastering Diverse Domains through World Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.04104","snapshot_observed_at":"2026-08-06T00:31:24.880506Z","title":"Mastering diverse domains through world models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:24.880506Z"},"links":{"cited_paper":"/paper/2301.04104","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:cb44dca9176f4c6919e230b811d59c286d7d633ecebe3231328bd90a088950bd","observation_id":"fbf3d8b3-e956-4eed-bac8-9479e4737a04","resolution":{"observed_at":"2026-08-06T00:31:24.880506Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.13009","snapshot_observed_at":"2026-08-06T00:31:25.042552Z","title":"Matrix-game 2.0: An open-source, real-time, and streaming interactive world model, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.042552Z"},"links":{"cited_paper":"/paper/2508.13009","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:73d6bb5ccaf06c17f166607e50f0a5d3a861358d97af2e462dfbc647a867b0b6","observation_id":"d7155246-518b-42bc-badb-4349bc5b93ac","resolution":{"observed_at":"2026-08-06T00:31:25.042552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.08009","last_updated":"2025-11-10T04:36:27Z","snapshot_observed_at":"2026-08-15T15:02:59.826496Z","submitted_at":"2025-06-09T17:59:55Z","title":"Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.08009","snapshot_observed_at":"2026-08-06T00:31:25.062899Z","title":"Self forcing: Bridging the train-test gap in autoregressive video diffusion","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.062899Z"},"links":{"cited_paper":"/paper/2506.08009","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:233e0b01bb7d68af5fac4daa08b30f9e42948421764651f4edd327e0f69c6d39","observation_id":"5d4966a0-ae5c-4fa6-8f0f-ef66d9c39f86","resolution":{"observed_at":"2026-08-06T00:31:25.062899Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:31:26.307325Z","title":"Muon: An optimizer for the hidden layers of neural networks, 2024","venue":null,"work_id":"c567f0a5-1314-403a-bd46-19df117c5ebe","year":2024},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.150868Z"},"links":{"citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:00b6019bd87df2282e7f89b207af47339d361ee8f70ef864148d19972d843700","observation_id":"f415b161-0b1f-46c3-aef6-06928f006bbc","resolution":{"observed_at":"2026-08-06T00:31:26.313227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12945","last_updated":"2025-04-22T17:57:51Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-03-19T17:48:38Z","title":"DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12945","snapshot_observed_at":"2026-08-06T00:31:25.206611Z","title":"Droid: A large-scale in-the-wild robot manipulation dataset","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.206611Z"},"links":{"cited_paper":"/paper/2403.12945","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:edbdd3b7eeea9bc01c8732e581f8ac45e5df3a4ac479310ff1ea065c234f49ef","observation_id":"617c3131-951e-4e46-b37c-cdad903f316a","resolution":{"observed_at":"2026-08-06T00:31:25.206611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.20540","last_updated":"2026-01-28T12:37:01Z","snapshot_observed_at":"2026-08-13T17:45:09.123419Z","submitted_at":"2026-01-28T12:37:01Z","title":"Advancing Open-source World Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.20540","snapshot_observed_at":"2026-08-06T00:31:25.241964Z","title":"Advancing open-source world models, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.241964Z"},"links":{"cited_paper":"/paper/2601.20540","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:a8995c858c743bf6947f09437ff21cf98c0686df0b2d063d634600a54d42e2bc","observation_id":"cbad3fdb-c154-48a9-afcf-51ff4576d6a3","resolution":{"observed_at":"2026-08-06T00:31:25.241964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:31:26.287596Z","title":null,"venue":null,"work_id":"f558569c-f778-4113-b5db-8d45438df9de","year":null},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.258298Z"},"links":{"citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:a48197e09e74a48b86c8125a5cd97fedec1c57978b07114c83d593c659ae83b1","observation_id":"e9ef80b9-54ec-4183-88ac-6f02fc4b855c","resolution":{"observed_at":"2026-08-06T00:31:26.293377Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.25161","last_updated":"2025-09-29T17:57:14Z","snapshot_observed_at":"2026-08-09T09:15:39.740119Z","submitted_at":"2025-09-29T17:57:14Z","title":"Rolling Forcing: Autoregressive Long Video Diffusion in Real Time","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.25161","snapshot_observed_at":"2026-08-06T00:31:25.268816Z","title":"Rolling forcing: Autoregressive long video diffusion in real time, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.268816Z"},"links":{"cited_paper":"/paper/2509.25161","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:7e5bf71dd1d80e18114b3e99e17499ae485afdcaad5b841a5263e74357d5147c","observation_id":"b77df3a8-658a-4c8e-bb64-d01a20c88621","resolution":{"observed_at":"2026-08-06T00:31:25.268816Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:31:25.274373Z","title":"Flow straight and fast: Learning to generate and transfer data with rectified flow","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.274373Z"},"links":{"citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:438f19f286a86af39a128ea8e46526639cdd631486694ab767014e614c327b0b","observation_id":"0aa437d0-6bba-4a90-a02d-677608ea4e76","resolution":{"observed_at":"2026-08-06T00:31:25.274373Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:31:26.255220Z","title":"Yume-1.5: A text-controlled interactive world generation model","venue":null,"work_id":"2ddad657-678d-4b13-9cce-537c32d6885f","year":null},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.285453Z"},"links":{"citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:58365488994231a2f9a99d104f910d4c6afc3f305701a9d640169780fc78eb6b","observation_id":"51fa5e8c-6c08-4220-9cb2-d0df40f01b63","resolution":{"observed_at":"2026-08-06T00:31:26.262659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.03575","snapshot_observed_at":"2026-08-06T00:31:25.296209Z","title":"Cosmos world foundation model platform for physical ai, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.296209Z"},"links":{"cited_paper":"/paper/2501.03575","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:9df9ba82af84c6bc640ac1a425a7dad57aedfb62ff0118b7b28f6c28469c507b","observation_id":"98e42777-bae2-4b58-9cfd-c48070003c92","resolution":{"observed_at":"2026-08-06T00:31:25.296209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.03003","last_updated":"2022-09-07T08:59:55Z","snapshot_observed_at":"2026-07-06T13:49:40.974495Z","submitted_at":"2022-09-07T08:59:55Z","title":"Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.03003","snapshot_observed_at":"2026-08-06T00:31:25.279925Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.279925Z"},"links":{"cited_paper":"/paper/2209.03003","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:064368aad30e14b4a398b46a1ee96b2b4fcc1f0971255e449308d5108f2fb5fc","observation_id":"afa088ad-5dfc-43a0-99bd-6a6a5ba5d862","resolution":{"observed_at":"2026-08-06T00:31:25.279925Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:31:26.232412Z","title":"Worldarena: A unified benchmark for evaluating perception and functional utility of embodied world models, 2026","venue":null,"work_id":"2e06b466-a163-4c28-bc57-5c7c4232453d","year":2026},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.305396Z"},"links":{"citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:dfabc1a17691db9e357649fd7fd8bc6e130ad3bd540df5836a5f56693284113b","observation_id":"26c7182a-fb66-4545-8ea2-b494c6af9bfc","resolution":{"observed_at":"2026-08-06T00:31:26.238964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:31:25.290598Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.290598Z"},"links":{"citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:4bfa7d6804a66049b38650219693e60ded2e3f81576fc1ba0269bff7a000898f","observation_id":"73ca17f1-2708-45e3-bdb0-7c9da4006325","resolution":{"observed_at":"2026-08-06T00:31:25.290598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.13074","last_updated":"2025-04-21T10:34:50Z","snapshot_observed_at":"2026-08-15T13:01:37.943884Z","submitted_at":"2025-04-17T16:37:27Z","title":"SkyReels-V2: Infinite-length Film Generative Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.13074","snapshot_observed_at":"2026-08-06T00:31:25.316697Z","title":"Skyreels-v2: Infinite-length film generative model, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.316697Z"},"links":{"cited_paper":"/paper/2504.13074","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:0cf8eeae9a59747aebe983f3a305ea229a07cebd50d2f78b07126c2656d6f9fe","observation_id":"a35aaa46-ac41-445c-a54c-c7a6a565090d","resolution":{"observed_at":"2026-08-06T00:31:25.316697Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13211","last_updated":"2025-05-19T14:58:50Z","snapshot_observed_at":"2026-08-17T23:27:13.017878Z","submitted_at":"2025-05-19T14:58:50Z","title":"MAGI-1: Autoregressive Video Generation at Scale","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13211","snapshot_observed_at":"2026-08-06T00:31:25.300662Z","title":"Magi-1: Autoregressive video generation at scale, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.300662Z"},"links":{"cited_paper":"/paper/2505.13211","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:a25ff9d242f89ed7bf96ecd1070a962d5db3c8999e83cf82e93088b00881d7e1","observation_id":"e8f78a9b-be23-4a5d-b1d7-111107f20558","resolution":{"observed_at":"2026-08-06T00:31:25.300662Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07418","last_updated":"2025-03-10T15:05:59Z","snapshot_observed_at":"2026-08-16T12:51:28.756575Z","submitted_at":"2025-03-10T15:05:59Z","title":"AR-Diffusion: Asynchronous Video Generation with Auto-Regressive Diffusion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07418","snapshot_observed_at":"2026-08-06T00:31:25.329247Z","title":"Ar-diffusion: Asynchronous video generation with auto-regressive diffusion","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.329247Z"},"links":{"cited_paper":"/paper/2503.07418","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:dd3d53ef091a1130714e9f2ffffc65f61d58b52226717a4876a7a4fc1c6f9572","observation_id":"35a35884-25d6-47c5-a335-e6342a097fdc","resolution":{"observed_at":"2026-08-06T00:31:25.329247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.08995","last_updated":"2026-04-13T03:48:38Z","snapshot_observed_at":"2026-08-13T14:43:54.028587Z","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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.08995","snapshot_observed_at":"2026-08-06T00:31:25.310303Z","title":"Matrix-game 3.0: Real-time and streaming interactive world model with long-horizon memory, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.310303Z"},"links":{"cited_paper":"/paper/2604.08995","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:9bb7ed5d4df6d60a21ec4ec18b2bbb6f8b048198bf576c25f1bad3fb8f48276c","observation_id":"cd5d4877-5e94-419a-851f-6a94c17bd35b","resolution":{"observed_at":"2026-08-06T00:31:25.310303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20314","last_updated":"2025-04-19T02:22:42Z","snapshot_observed_at":"2026-08-12T22:34:51.361078Z","submitted_at":"2025-03-26T08:25:43Z","title":"Wan: Open and Advanced Large-Scale Video Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.20314","snapshot_observed_at":"2026-08-06T00:31:25.343155Z","title":"Wan: Open and advanced large-scale video generative models, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.343155Z"},"links":{"cited_paper":"/paper/2503.20314","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:d3d2b0257408b1b29c78aa2a5d2300bdb2b4e0a068938f4b97448c855f0ed50b","observation_id":"8a377a66-b2d5-4a64-86da-15046b744e36","resolution":{"observed_at":"2026-08-06T00:31:25.343155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.06764","last_updated":"2025-07-24T03:58:47Z","snapshot_observed_at":"2026-08-13T16:17:52.423891Z","submitted_at":"2025-02-10T18:44:25Z","title":"History-Guided Video Diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.06764","snapshot_observed_at":"2026-08-06T00:31:25.322462Z","title":"History-guided video diffusion","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.322462Z"},"links":{"cited_paper":"/paper/2502.06764","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:4741633aba1be246c0ea5f25d95aa100135cf55496c221e79f6451e1d1d72f43","observation_id":"b175f980-3f52-4bbb-8de1-9a94c510d53f","resolution":{"observed_at":"2026-08-06T00:31:25.322462Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.07982","last_updated":"2026-05-05T14:55:01Z","snapshot_observed_at":"2026-08-14T21:13:23.101760Z","submitted_at":"2025-07-10T17:55:08Z","title":"Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.07982","snapshot_observed_at":"2026-08-06T00:31:25.354409Z","title":"Geometry forcing: Marrying video diffusion and 3d representation for consistent world modeling","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.354409Z"},"links":{"cited_paper":"/paper/2507.07982","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:3e3ba7e573e1a5be57f26f01043ad44f9b3b1a08c29a9610e012c8b74690f501","observation_id":"3dbc3706-8dfc-4be6-805d-30bf7458f545","resolution":{"observed_at":"2026-08-06T00:31:25.354409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:31:26.212643Z","title":"Hy-world 1.5: A systematic framework for interactive world modeling with real-time latency and geometric consistency, 2025","venue":null,"work_id":"7a61a7cc-83f0-42c5-9986-1fe9e29aa8d0","year":2025},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.337557Z"},"links":{"citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:8154b97e00315901d54ca842584885b5b7625b27ff72afe962a6f7679e8452f1","observation_id":"cace3272-9a9e-4afc-ac42-96e4be56eec0","resolution":{"observed_at":"2026-08-06T00:31:26.218865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.03924","last_updated":"2018-04-10T19:25:07Z","snapshot_observed_at":"2026-08-14T19:55:52.339887Z","submitted_at":"2018-01-11T18:54:17Z","title":"The Unreasonable Effectiveness of Deep Features as a Perceptual Metric","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.03924","snapshot_observed_at":"2026-08-06T00:31:25.363220Z","title":"Efros, Eli Shechtman, and Oliver Wang","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.363220Z"},"links":{"cited_paper":"/paper/1801.03924","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:f41012804c20a4f95b1ea1f745415a67d7e497ba490f91b3f0e0d474c3c114f9","observation_id":"5cb37f35-81c7-4ce6-847e-d9cf44d1ac8c","resolution":{"observed_at":"2026-08-06T00:31:25.363220Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:31:26.188351Z","title":"Bovik, Hamid R","venue":null,"work_id":"4f729994-792f-4528-bf11-77f86a223e2b","year":2004},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.349077Z"},"links":{"citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:5e23855fa3fc6ee162f6d34e8e171b7a9086db13a219467068eb0af1e87b6d3e","observation_id":"1d335ff7-24bc-44c3-8429-e029d9b41fe8","resolution":{"observed_at":"2026-08-06T00:31:26.199958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.02214","last_updated":"2026-06-01T14:32:37Z","snapshot_observed_at":"2026-08-17T22:01:08.736822Z","submitted_at":"2026-02-02T15:19:22Z","title":"Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.02214","snapshot_observed_at":"2026-08-06T00:31:25.374457Z","title":"Causal forcing: Autoregres- sive diffusion distillation done right for high-quality real-time interactive video generation","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.374457Z"},"links":{"cited_paper":"/paper/2602.02214","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:397c3250d494cf374ebb261c85fe24556c616bb5412ee052c0f259894da56104","observation_id":"bb376b70-c506-4d02-ab64-c9fab1b8aa34","resolution":{"observed_at":"2026-08-06T00:31:25.374457Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:31:25.359133Z","title":"From slow bidirectional to fast autoregressive video diffusion models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.359133Z"},"links":{"citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:3d9a4feb78a7de9f594e3a27d404fa242d8a5018a9ee1ef3908da58ac289dacf","observation_id":"9a82f494-c5e3-450e-8345-ed8d8bedd4a8","resolution":{"observed_at":"2026-08-06T00:31:25.359133Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.09817","last_updated":"2018-05-24T17:58:02Z","snapshot_observed_at":"2026-08-16T00:52:41.730888Z","submitted_at":"2018-05-24T17:58:02Z","title":"Stereo Magnification: Learning View Synthesis using Multiplane Images","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.09817","snapshot_observed_at":"2026-08-06T00:31:25.368293Z","title":"Stereo magnifica- tion: Learning view synthesis using multiplane images.ACM Transactions on Graphics, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.368293Z"},"links":{"cited_paper":"/paper/1805.09817","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:43f3b757965e252fc1271084729644cc1ad45410dc3e7b4f95904ed7ca84d25b","observation_id":"560dc427-5a15-4cb9-bf95-854c993fb53a","resolution":{"observed_at":"2026-08-06T00:31:25.368293Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02747","last_updated":"2023-02-08T15:46:05Z","snapshot_observed_at":"2026-08-16T02:30:42.660030Z","submitted_at":"2022-10-06T08:32:20Z","title":"Flow Matching for Generative Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02747","snapshot_observed_at":"2026-08-06T00:31:25.263876Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:25.263876Z"},"links":{"cited_paper":"/paper/2210.02747","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:02f7de2e47e8cc10f1549b047569be1c9d7eeac4434fd4036f87042032578110","observation_id":"571b2f16-c7f0-4004-900a-8bd92034bbcc","resolution":{"observed_at":"2026-08-06T00:31:25.263876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.06949","last_updated":"2026-02-06T18:49:43Z","snapshot_observed_at":"2026-07-06T22:44:51.126114Z","submitted_at":"2026-02-06T18:49:43Z","title":"DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.06949","snapshot_observed_at":"2026-08-06T00:31:24.525230Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","version":2},"reference_index":2026,"source":"pdf_text","source_observed_at":"2026-08-06T00:31:24.525230Z"},"links":{"cited_paper":"/paper/2602.06949","citing_paper":"/paper/2608.01127"},"observation_digest":"sha256:accbeb9eb627757e66cee07c7e8f897297c8a7dffd95b752e3d51c030619c128","observation_id":"b661d539-58d7-4a8c-88c8-84d554eb127a","resolution":{"observed_at":"2026-08-06T00:31:24.525230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.01127","last_updated":"2026-08-04T04:32:45Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T06:56:22.550423Z","submitted_at":"2026-08-02T09:57:02Z","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":28,"verified_exact":0,"verified_fuzzy":11},"total_outbound_references":39},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2608.01127."}