{"as_of":"2026-08-10T12:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b72fd7f6216e5f376ba3bdfb3bd07f5413536115953c317c01b7e27ef428fe59","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":27,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:45:06.055624Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T15:49:58.028816Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-08-07T12:45:06.055624Z","title":"Garrido, N","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23656","last_updated":"2025-05-29T17:06:44Z","snapshot_observed_at":"2026-08-10T08:33:11.089931Z","submitted_at":"2025-05-29T17:06:44Z","title":"VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:06.055624Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2505.23656"},"observation_digest":"sha256:7c658dad946bb5b93b6b6cc46faa7629602b38db64ade8f796266753c3297232","observation_id":"373c5a53-c8a9-402c-8ddc-2229e6e845e2","resolution":{"observed_at":"2026-08-07T12:45:06.055624Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-08-07T10:50:50.820432Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.04363","last_updated":"2025-06-04T18:22:40Z","snapshot_observed_at":"2026-08-09T21:50:08.530506Z","submitted_at":"2025-06-04T18:22:40Z","title":"WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T10:50:50.820432Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2506.04363"},"observation_digest":"sha256:146c84aedc395299efadc5705384264eea30cd5c3559a00ca770cd02166950e1","observation_id":"70af4007-3d33-405e-ad2b-7c9f99610c30","resolution":{"observed_at":"2026-08-07T10:50:50.820432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-08-07T04:44:02.067312Z","title":"Garrido, N","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.09849","last_updated":"2025-06-11T15:21:16Z","snapshot_observed_at":"2026-08-07T14:02:52.704779Z","submitted_at":"2025-06-11T15:21:16Z","title":"IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T04:44:02.067312Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2506.09849"},"observation_digest":"sha256:1075dc393799ef2a96af8c3304c9246519d988ef272b782b44a7bce400d26a5e","observation_id":"247d25d1-55ab-4d2e-8cfb-fd6d5b5e283e","resolution":{"observed_at":"2026-08-07T04:44:02.067312Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-08-06T22:57:41.599469Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.20134","last_updated":"2025-06-25T05:05:09Z","snapshot_observed_at":"2026-08-09T01:32:22.356049Z","submitted_at":"2025-06-25T05:05:09Z","title":"From 2D to 3D Cognition: A Brief Survey of General World Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T22:57:41.599469Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2506.20134"},"observation_digest":"sha256:c8e7e4ffc94d18ac65d302c058c8d33cc6bb8b8f7a333c5963eb0fc0030ac841","observation_id":"a91f2987-c5d1-4f6e-b57f-96e8a0647f82","resolution":{"observed_at":"2026-08-06T22:57:41.599469Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-08-06T15:11:13.195335Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.16572","last_updated":"2025-07-22T13:24:42Z","snapshot_observed_at":"2026-08-10T01:48:40.696033Z","submitted_at":"2025-07-22T13:24:42Z","title":"Pixels to Principles: Probing Intuitive Physics Understanding in Multimodal Language Models","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T15:11:13.195335Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2507.16572"},"observation_digest":"sha256:c2f7101b90421f2eb4522fb7b38600e26d9de4df544763cedf02c0a5e80745da","observation_id":"cae7475f-b3f7-4dbb-b554-b0be803e9fd3","resolution":{"observed_at":"2026-08-06T15:11:13.195335Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-08-06T14:24:21.361886Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.19468","last_updated":"2025-07-25T17:54:10Z","snapshot_observed_at":"2026-08-08T15:35:43.235215Z","submitted_at":"2025-07-25T17:54:10Z","title":"Back to the Features: DINO as a Foundation for Video World Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T14:24:21.361886Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2507.19468"},"observation_digest":"sha256:c4febebe84542d62d280dd65f83d0056bea84e6937ac20c0277926fc1937ad4c","observation_id":"016f5174-ad6c-4bcf-a506-bd1506d81b97","resolution":{"observed_at":"2026-08-06T14:24:21.361886Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2509.20328","last_updated":"2025-09-29T20:44:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-09-24T17:17:27Z","title":"Video models are zero-shot learners and reasoners","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-14T02:16:45.554252Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2509.20328"},"observation_digest":"sha256:1d99a113922fa5ef93618f38a5b573ef6d3976e2aefc887fbd8523b74846570f","observation_id":"69a5a721-c0c7-4f28-9e95-6fb80f7ebe5c","resolution":{"observed_at":"2026-05-14T02:16:45.772679Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2511.04670","last_updated":"2025-11-06T18:55:17Z","snapshot_observed_at":"2026-07-06T22:35:07.844255Z","submitted_at":"2025-11-06T18:55:17Z","title":"Cambrian-S: Towards Spatial Supersensing in Video","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-18T03:46:04.363500Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2511.04670"},"observation_digest":"sha256:ab791a6d05ab6c32641834c9e6d70f32e0d91bb36b4838b0b19d3525ac888c5a","observation_id":"f59af1bc-b466-4e0f-b135-952007756d31","resolution":{"observed_at":"2026-05-18T03:46:04.500250Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2602.13294","last_updated":"2026-05-21T07:15:56Z","snapshot_observed_at":"2026-08-02T05:44:45.001749Z","submitted_at":"2026-02-09T05:46:44Z","title":"VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-22T11:06:38.102348Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2602.13294"},"observation_digest":"sha256:55a7378118f99910408e5943926e27294f4e997cca1dc41185fb898731709fe4","observation_id":"61354da5-45df-4a10-8b5a-63a70d700bd9","resolution":{"observed_at":"2026-05-22T11:11:27.496115Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2603.19312","last_updated":"2026-06-03T18:50:40Z","snapshot_observed_at":"2026-08-06T05:42:53.129146Z","submitted_at":"2026-03-13T19:48:14Z","title":"LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-15T04:09:22.328844Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2603.19312"},"observation_digest":"sha256:0a061088d5f15738c7f73f520d937e45f6c813f7cdcaf8d0b43257da43573b18","observation_id":"110bdf2d-0a08-4bda-819c-1020caafee72","resolution":{"observed_at":"2026-05-15T04:09:22.509193Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2604.03266","last_updated":"2026-03-18T20:23:52Z","snapshot_observed_at":"2026-08-03T23:17:32.320246Z","submitted_at":"2026-03-18T20:23:52Z","title":"Emergent Compositional Communication for Latent World Properties","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-15T08:28:10.971822Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2604.03266"},"observation_digest":"sha256:36505135740cdc5fb17e31160fd58c4de0a3312df5fe96bd6f6f4c4817622c62","observation_id":"a9e0982c-8ed1-44de-9240-7ab1db7caabf","resolution":{"observed_at":"2026-05-15T08:29:52.172738Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2604.08503","last_updated":"2026-05-18T19:22:00Z","snapshot_observed_at":"2026-07-06T22:57:35.435713Z","submitted_at":"2026-04-09T17:48:46Z","title":"Phantom: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T18:15:37.338442Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2604.08503"},"observation_digest":"sha256:ceda34e12a31ee4a9b022d21d299e349dd9491b57f21a2443500e3d2c2634fd0","observation_id":"b44fdf50-aad1-467c-afb6-49e5f37e8f28","resolution":{"observed_at":"2026-05-11T05:10:55.633345Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2604.08503","last_updated":"2026-05-18T19:22:00Z","snapshot_observed_at":"2026-07-06T22:57:35.435713Z","submitted_at":"2026-04-09T17:48:46Z","title":"Phantom: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-21T09:17:53.731701Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2604.08503"},"observation_digest":"sha256:3a899c4d3c5e42d5a7aca24fde0efb80918abcd9ecfb022e6b38d5029e408571","observation_id":"4bed5068-a827-4e70-9185-70deb8e25112","resolution":{"observed_at":"2026-05-21T09:19:56.643712Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:91c7f09278301343467a45efade7ff98fc6c59ffa9b54332ef8abc60b1683e91","observation_id":"c623550b-cbb5-4b8a-9af0-7f45508a71a9","resolution":{"observed_at":"2026-05-10T12:25:22.549149Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2604.21192","last_updated":"2026-04-23T01:32:51Z","snapshot_observed_at":"2026-07-06T23:07:51.979267Z","submitted_at":"2026-04-23T01:32:51Z","title":"How VLAs (Really) Work In Open-World Environments","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-09T22:11:06.684214Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2604.21192"},"observation_digest":"sha256:54479cb37971d85971b1d612f4d1ca373dfc49e6fe77c952298e5c7676bf7724","observation_id":"780f2d9f-0af5-402d-b4ad-3bb44b9b871f","resolution":{"observed_at":"2026-05-11T14:16:12.896377Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2605.15618","last_updated":"2026-05-15T04:59:30Z","snapshot_observed_at":"2026-08-03T01:54:33.635335Z","submitted_at":"2026-05-15T04:59:30Z","title":"Latent Video Prediction Learns Better World Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-20T19:09:34.307867Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2605.15618"},"observation_digest":"sha256:c02fc84d67f0c1a683d8888210289a9ffcc283e61ed3dace030c54a569e02f87","observation_id":"04af18dd-5090-4ae3-9c74-157e45c447a3","resolution":{"observed_at":"2026-05-20T19:13:40.572935Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2605.23878","last_updated":"2026-05-22T17:34:42Z","snapshot_observed_at":"2026-08-02T04:44:48.004184Z","submitted_at":"2026-05-22T17:34:42Z","title":"LaMo: Self-Supervised Latent Motion Priors for Physical Realism in Video Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-25T04:42:32.717968Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2605.23878"},"observation_digest":"sha256:87f4f9a4ca5e42b01f70f21d5595bf6d49d60c882201013168daafe8923a9a26","observation_id":"8cd38f33-4116-44e8-b4da-4cb3ffb18eea","resolution":{"observed_at":"2026-05-25T04:45:20.390178Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2605.30346","last_updated":"2026-05-28T17:59:51Z","snapshot_observed_at":"2026-08-04T10:14:05.552405Z","submitted_at":"2026-05-28T17:59:51Z","title":"YoCausal: How Far is Video Generation from World Model? A Causality Perspective","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-29T08:27:03.674229Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2605.30346"},"observation_digest":"sha256:999d53ac57c0daa66f265c1f762858f183d258250b778050d8f41c840591aab5","observation_id":"34793af0-fccd-4d4d-aa67-45ddb3471636","resolution":{"observed_at":"2026-06-29T08:33:15.573118Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2606.05497","last_updated":"2026-06-03T22:41:11Z","snapshot_observed_at":"2026-08-04T13:44:30.423961Z","submitted_at":"2026-06-03T22:41:11Z","title":"LEVANTE-bench: Multi-Scale Comparison of VLMs to Children Using Cognitive Tasks (or, \"Is Your VLM Smarter Than a 5th Grader?\")","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-06-28T06:39:08.246174Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2606.05497"},"observation_digest":"sha256:1aa359cb6da9f8a01859446988a4b599d13e373c38c88704ce372b5d148462c6","observation_id":"20db928d-33af-4e8f-86ba-5eb4ad1ad31b","resolution":{"observed_at":"2026-07-02T07:46:46.442953Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2606.09646","last_updated":"2026-06-08T15:40:32Z","snapshot_observed_at":"2026-08-09T02:42:00.413846Z","submitted_at":"2026-06-08T15:40:32Z","title":"Do Video Foundation Models Understand Intuitive Physics? A Layerwise Probing Analysis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-27T17:25:15.493925Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2606.09646"},"observation_digest":"sha256:27e1a02011e4a5c4b83d5657dca117b65cf102785bc69db6756d0e3d27218feb","observation_id":"1df32e80-9436-48f3-96d5-c2dcf085849d","resolution":{"observed_at":"2026-07-03T00:07:28.704748Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2606.23153","last_updated":"2026-06-22T10:58:43Z","snapshot_observed_at":"2026-08-03T15:32:19.216975Z","submitted_at":"2026-06-22T10:58:43Z","title":"Asymmetric physics enables efficient learning in quadrupedal robot swarms","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-26T08:31:18.036335Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2606.23153"},"observation_digest":"sha256:0872787d4009d5d9f9f2dec06fe6fd262848080092b0e7b681e3d2c404758943","observation_id":"570413a8-8b63-47d1-8f58-07e6a0537ba6","resolution":{"observed_at":"2026-07-04T10:49:45.789160Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2606.26410","last_updated":"2026-06-24T22:06:35Z","snapshot_observed_at":"2026-08-07T03:54:49.094588Z","submitted_at":"2026-06-24T22:06:35Z","title":"Neural Voxel Dynamics: Learning Implicit 3D Physics via Volumetric Feature Advection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-26T01:17:06.587807Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2606.26410"},"observation_digest":"sha256:f52a1854e796370d0d5167fc732fbb898e7af34a1eb5061523a389711eb96343","observation_id":"9390965f-4d8e-40d8-9082-bb49b4fe87b8","resolution":{"observed_at":"2026-07-04T15:49:58.030275Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-08-01T21:07:24.934833Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16401","last_updated":"2026-07-17T18:00:05Z","snapshot_observed_at":"2026-08-08T02:26:45.240699Z","submitted_at":"2026-07-17T18:00:05Z","title":"Apple-$\\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T21:07:24.934833Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2607.16401"},"observation_digest":"sha256:afdc90b46e6bda9ea5b9baf12b8ebb20affc1f16c63c8431dff9e9af920405cf","observation_id":"d5515de5-fdeb-4af9-b6f1-a313b3f5e650","resolution":{"observed_at":"2026-08-01T21:07:24.934833Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-08-01T20:30:41.923953Z","title":"Intuitive physics understanding emerges from self-supervised pre- training on natural videos.arXiv preprint arXiv:2502.11831,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.16602","last_updated":"2026-07-21T07:58:44Z","snapshot_observed_at":"2026-08-07T10:51:54.643728Z","submitted_at":"2026-07-18T02:42:27Z","title":"PAVXploreRL: Physical-Action-Visual World Model Reinforcement Learning with Action Exploration","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T20:30:41.923953Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2607.16602"},"observation_digest":"sha256:a60f3224fc48083e07ffabdeec111a92c3b2819cfd3e0464c5f1fc9d69f0895b","observation_id":"ef6610a1-ee6b-4e4a-8c94-73ab24559219","resolution":{"observed_at":"2026-08-01T20:30:41.923953Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-30T13:44:14.872468Z","title":"Intuitive physics understanding emerges from self- supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27017","last_updated":"2026-07-31T14:52:09Z","snapshot_observed_at":"2026-08-09T21:29:11.737688Z","submitted_at":"2026-07-29T15:15:30Z","title":"What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-30T13:44:14.872468Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2607.27017"},"observation_digest":"sha256:e1010f48829a3861e521994c47a33aab0236b2126039acf2b0a1e41764e99137","observation_id":"89019773-9769-410d-9432-cb4084f5b609","resolution":{"observed_at":"2026-07-30T13:44:14.872468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-08-01T10:17:35.719407Z","title":"Intuitive physics understanding emerges from self- supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27017","last_updated":"2026-07-31T14:52:09Z","snapshot_observed_at":"2026-08-09T21:29:11.737688Z","submitted_at":"2026-07-29T15:15:30Z","title":"What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T10:17:35.719407Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2607.27017"},"observation_digest":"sha256:b90409720c8a20c8aad21af714e915ec8c7d5fe933ba8d1eb543e9b221354409","observation_id":"d81a133f-5380-4604-be00-b3adf776523d","resolution":{"observed_at":"2026-08-01T10:17:35.719407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-08-03T01:44:57.582741Z","title":"Intuitive physics understanding emerges from self- supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27017","last_updated":"2026-07-31T14:52:09Z","snapshot_observed_at":"2026-08-09T21:29:11.737688Z","submitted_at":"2026-07-29T15:15:30Z","title":"What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T01:44:57.582741Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2607.27017"},"observation_digest":"sha256:0ffea7cdf5bab364f43346b08ddd6417742136ea7af51a9756f8468ba53d1965","observation_id":"37028486-36d4-4661-95d0-81dcf2c9db17","resolution":{"observed_at":"2026-08-03T01:44:57.582741Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.11831/citation-record","integrity":"/paper/2502.11831/integrity","json":"/paper/2502.11831/citation-record.json","paper":"/paper/2502.11831"},"outbound":[],"paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T18:12:21.463545Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2502.11831."}