{"as_of":"2026-08-05T00:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3affc358fba2082d7ef9de224894a2e07be05a670c14609f5bb966151a9ccbdb","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T21:13:36.568700Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-31T01:50:30.671149Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-09T03:05:55.353604Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"cited_work":{"arxiv_id":"2606.18943","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.18943","snapshot_observed_at":"2026-07-09T03:05:55.353604Z","title":"Physics-IQ Verified","venue":"cs.CV","work_id":"9896d19d-204b-4911-99ba-5e4a786ca41c","year":2026},"citing_paper":{"arxiv_id":"2607.07675","last_updated":"2026-07-08T17:33:40Z","snapshot_observed_at":"2026-08-02T22:09:26.507433Z","submitted_at":"2026-07-08T17:33:40Z","title":"Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-07-09T02:55:58.018234Z"},"links":{"cited_paper":"/paper/2606.18943","citing_paper":"/paper/2607.07675"},"observation_digest":"sha256:6c3dd6b3e8a9ff628e66b43aad3bbba9a8adae623aa18c3579d5d3323cb44f98","observation_id":"4bc46d9b-1a6d-4bcd-bc14-32014c801094","resolution":{"observed_at":"2026-07-09T03:05:55.354852Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.18943","snapshot_observed_at":"2026-07-31T01:50:30.671149Z","title":"Physics-iq verified","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28624","last_updated":"2026-07-30T17:59:46Z","snapshot_observed_at":"2026-08-03T00:12:51.051086Z","submitted_at":"2026-07-30T17:59:46Z","title":"PhiZero: A World Model Built Around Physical Language","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-31T01:50:30.671149Z"},"links":{"cited_paper":"/paper/2606.18943","citing_paper":"/paper/2607.28624"},"observation_digest":"sha256:780dff1475f2850341706e3c75842ad59ced839d1157de4b43e12290d96c063b","observation_id":"d1871fda-784b-4898-b37d-f6e8542bb732","resolution":{"observed_at":"2026-07-31T01:50:30.671149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2606.18943/citation-record","integrity":"/paper/2606.18943/integrity","json":"/paper/2606.18943/citation-record.json","paper":"/paper/2606.18943"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Do generative video mod- els understand physical principles? InProceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 948–958, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:cf2741bac72fa289b6e0e2f85a504e9b479b463637bbf1500cb4adcb5b0973df","observation_id":"dd311ea7-d730-4c08-9279-b4020b566b9d","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":null,"venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:b71a4a9919bf01094782e578ef2311d9af12a8a4544eeb70e314357b5d613c34","observation_id":"a5e97917-3184-4748-8d2f-5b860ed064b6","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"A path towards autonomous machine intelligence version 0.9","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:1d0223ba814c0464da6091facc8edf166eca444366b86f0f590681a422ca14f8","observation_id":"9007c034-2185-46ae-84c2-9fbab2436bad","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Genie: Generative interactive environments","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:9804f9dafbbcca6dca5eedc87b00ee4725a3f2a1ee204588351b45e36a52ab71","observation_id":"26af226f-53e5-45f8-af52-e8128332c613","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Dreamgen: Unlocking generalization in robot learning through video world models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:9e35a3b3ae251d0e74fd98657561843d7f75bad158051324e35e02ad3428a21c","observation_id":"3e5ef139-bcc0-45a5-bbec-fe507fdf2ee8","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":"2509.20328","doi":"10.48550/arxiv.2509.20328","metadata_source":"pith","pith_arxiv_id":"2509.20328","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Video models are zero-shot learners and reasoners","venue":"cs.LG","work_id":"6ef44b1c-944f-4648-b3a3-e5c320f385c1","year":2025},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2509.20328","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:369f13eba91df76615efbb0512392fcc6d78c187af0b8459cca873e9773915f4","observation_id":"24a22b57-39c7-4bfd-bb47-1c06a3136b9f","resolution":{"observed_at":"2026-07-04T00:29:15.593809Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-07-11T15:53:32.351277+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T15:53:32.351277+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.10122","last_updated":"2018-05-09T09:06:27Z","snapshot_observed_at":"2026-07-31T21:36:45.596575Z","submitted_at":"2018-03-27T15:08:55Z","title":"World Models","version":4},"cited_work":{"arxiv_id":"1803.10122","doi":"10.48550/arxiv.1712.00409","metadata_source":"pith","pith_arxiv_id":"1803.10122","snapshot_observed_at":"2026-07-11T00:07:43.018139Z","title":"World Models","venue":"cs.LG","work_id":"07227eee-8445-4c98-bce4-c6a6fd5ed907","year":2018},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/1803.10122","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:622392b5f94014020bdc6774d117af21ed96a019efe08cafd9e68d86dd9b945d","observation_id":"b3febab0-f201-45a9-92f1-7eddf1d1aba6","resolution":{"observed_at":"2026-07-04T00:29:15.554345Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"FVD: A new metric for video generation, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:4b779f9cf63857deaac27a44727cd4fd4d06ddcd3d5575d2bfc7155ba073a5c3","observation_id":"de527c57-9b72-4591-a751-84208873fac3","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.16124","last_updated":"2024-07-23T02:10:50Z","snapshot_observed_at":"2026-07-06T18:50:27.183139Z","submitted_at":"2024-07-23T02:10:50Z","title":"Fr\\'echet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos","version":1},"cited_work":{"arxiv_id":"2407.16124","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.16124","snapshot_observed_at":"2026-07-04T09:09:43.423233Z","title":"Fr´echet video motion distance: A metric for evaluating motion consistency in videos.arXiv:2407.16124","venue":null,"work_id":"4b5695f1-4892-4e22-b652-9e26fe15759c","year":2024},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2407.16124","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:6156196b0e6ee30eeb109a055fa5346f3ead2081f94c1ba4fb04075bba10aad8","observation_id":"42653545-efc4-4954-9793-a1b9255f0817","resolution":{"observed_at":"2026-07-04T00:29:15.512132Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2602.20159","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T01:46:40.917858Z","title":"A very big video reasoning suite","venue":null,"work_id":"4cb52917-7539-4575-a350-92645383c4ef","year":2026},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:964660f89dd8ce5085fc7ac8f55fd0c163fab915acb8ec8450d871858ac5bdba","observation_id":"fc1559e2-0ec0-4c9b-acb3-b025ae59e27c","resolution":{"observed_at":"2026-07-04T00:29:15.608991Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.08261","last_updated":"2022-06-20T14:27:21Z","snapshot_observed_at":"2026-08-01T17:46:40.019621Z","submitted_at":"2021-06-15T16:13:39Z","title":"Physion: Evaluating Physical Prediction from Vision in Humans and Machines","version":3},"cited_work":{"arxiv_id":"2106.08261","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.08261","snapshot_observed_at":"2026-07-04T13:19:51.051888Z","title":"Blattmann, A., Dockhorn, T., Kulal, S., Mendelevitch, D., Kilian, M., Lorenz, D., Levi, Y ., English, Z., V oleti, V ., Letts, A., Jampani, V ., and Rombach, R","venue":null,"work_id":"8077bdbc-fa73-44a4-a120-92725975df49","year":2021},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2106.08261","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:7f663345dbc35c79f5982e25881b8c488edfb3f2f8d6579cf9b48ef80dba787a","observation_id":"fd0da7a9-e1c3-493d-b4e6-faf27a7c9a6c","resolution":{"observed_at":"2026-07-04T00:29:15.533066Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:536d307d56503fcc238a3ed86795770ac10ca418b5f2dd05e0eff7c147ab2e43","observation_id":"0272bff6-b24f-4db3-b937-78020ed3a5c8","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Craft: A benchmark for causal reasoning about forces and interactions","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:93286beff85f755a3043c964514ba106d33f02af752de36a10675ec83e70d44e","observation_id":"e1052702-9ecb-473d-89d1-769d4f8e4c7a","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.07616","last_updated":"2020-02-11T10:05:20Z","snapshot_observed_at":"2026-08-01T11:20:53.002295Z","submitted_at":"2018-03-20T19:29:46Z","title":"IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning","version":3},"cited_work":{"arxiv_id":"1803.07616","doi":"10.48550/arxiv.1803.07616","metadata_source":"arxiv_reference","pith_arxiv_id":"1803.07616","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Rodriguez, J","venue":null,"work_id":"d53bffe7-b38d-42b7-8c9f-70c89156ba20","year":2018},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/1803.07616","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:7f07fc06432b5959ca3758a82e171dd76b06ce9b4e4bc56f6ee00d8bcd3b8cff","observation_id":"4d9ad54e-7da1-43d5-8b62-04d00ef6dfc5","resolution":{"observed_at":"2026-07-04T00:29:15.589375Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12000","last_updated":"2020-04-07T12:48:26Z","snapshot_observed_at":"2026-08-02T22:54:21.229562Z","submitted_at":"2019-09-26T09:34:48Z","title":"CoPhy: Counterfactual Learning of Physical Dynamics","version":2},"cited_work":{"arxiv_id":"1909.12000","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.12000","snapshot_observed_at":"2026-07-04T00:29:15.546899Z","title":"Cophy: Counterfactual learning of phys- ical dynamics","venue":null,"work_id":"06369e64-377e-4d0c-a614-536c7b180480","year":1909},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/1909.12000","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:fdc9d13ed4ac089b3564bdaf332799638b3a26b7385f30868f1c6c2dbc9866d7","observation_id":"637dcbd4-8771-4eb6-831b-a7a64699c793","resolution":{"observed_at":"2026-07-04T00:29:15.549799Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.01442","last_updated":"2020-03-08T00:09:07Z","snapshot_observed_at":"2026-07-06T08:26:38.349660Z","submitted_at":"2019-10-03T13:16:36Z","title":"CLEVRER: CoLlision Events for Video REpresentation and Reasoning","version":2},"cited_work":{"arxiv_id":"1910.01442","doi":"10.48550/arxiv.1910.01442","metadata_source":"pith","pith_arxiv_id":"1910.01442","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"CLEVRER: CoLlision Events for Video REpresentation and Reasoning","venue":"cs.CV","work_id":"595fdbf7-89d5-4593-8f57-24e8b469a43c","year":2019},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/1910.01442","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:7006e4483b349b3c40e4eb1f87fd1ab6d2f302f00a3b1946c308b33880f09c3f","observation_id":"6d04dba6-adf3-4ea9-b33a-5ae1c45b8e7c","resolution":{"observed_at":"2026-07-04T00:29:15.544340Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-05-23T20:53:53.698369+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T20:53:53.698369+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Esprit: Explaining solutions to physical reasoning tasks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:01498bac8d7c31d63e8bcc8d14e85f9dd7ecb501ae2fccc2363d9735206acadf","observation_id":"c77c191e-5ddc-4ea1-8110-7606124565e5","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02385","last_updated":"2025-06-22T03:30:55Z","snapshot_observed_at":"2026-08-02T22:45:54.982294Z","submitted_at":"2024-11-04T18:53:05Z","title":"How Far is Video Generation from World Model: A Physical Law Perspective","version":2},"cited_work":{"arxiv_id":"2411.02385","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.02385","snapshot_observed_at":"2026-07-08T07:14:45.230404Z","title":"How Far is Video Generation from World Model: A Physical Law Perspective","venue":"cs.CV","work_id":"4459ec7e-7a67-4b25-9c04-e91d87bf1b63","year":2024},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2411.02385","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:cbd7478edab32529a8ca040cf56c30c23ffe65bc9b3a50c67aba62cb63db0883","observation_id":"8b0bac6d-4db2-4c77-8d6c-37cd643813a9","resolution":{"observed_at":"2026-07-04T00:29:15.559500Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Phyre: A new benchmark for physical reasoning.Advances in Neural Information Processing Systems, 32, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:2cc8a5ef3c822a2b466afb8fb093dfc4b5d783405d73f3b58532558886aadaa1","observation_id":"e3188ac9-78f3-4569-91a5-5562d78183c6","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.03575","last_updated":"2025-07-09T19:35:31Z","snapshot_observed_at":"2026-08-03T00:21:10.886100Z","submitted_at":"2025-01-07T06:55:50Z","title":"Cosmos World Foundation Model Platform for Physical AI","version":3},"cited_work":{"arxiv_id":"2501.03575","doi":"10.48550/arxiv.2501.03575","metadata_source":"pith","pith_arxiv_id":"2501.03575","snapshot_observed_at":"2026-07-11T00:07:42.711856Z","title":"Cosmos World Foundation Model Platform for Physical AI","venue":"cs.CV","work_id":"a2dba24c-318d-476a-8b21-4289c265810c","year":2025},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2501.03575","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:1785f77f05c846d5e5f34b57be4ad30d7c0c8090ab9ca40fe57846701a2e2269","observation_id":"0259a965-ea25-45a0-a74a-ff2d76024199","resolution":{"observed_at":"2026-07-04T00:29:15.614429Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-07-11T15:53:29.560535+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T15:53:29.560535+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.21840","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T00:29:15.563772Z","title":"Improving the physics of video generation with vjepa-2 reward signal.arXiv preprint arXiv:2510.21840, 2025","venue":null,"work_id":"9cc2caad-4db9-484e-948b-9a34c18243e2","year":2025},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:fc71713e7a2203bc5e28ef3003efe42414fa8fbaf1e7e66a06bd3eefc2541626","observation_id":"84582771-7470-4e40-a530-5aa3d1f575fa","resolution":{"observed_at":"2026-07-04T00:29:15.566629Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.10553","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T00:29:15.503264Z","title":"arXiv preprint arXiv:2601.10553 , year=","venue":null,"work_id":"49c8b7d1-54c8-4b8e-a2d1-2bcc3750e580","year":2026},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:ba474d2bf1962997418ca35b3cc3ac23e6d9dd586cabbd89f7c862b6cfdebed9","observation_id":"1c43b711-6e1e-4d3b-b39d-e8e32ba11ca3","resolution":{"observed_at":"2026-07-04T00:29:15.506628Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13211","last_updated":"2025-05-19T14:58:50Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-19T14:58:50Z","title":"MAGI-1: Autoregressive Video Generation at Scale","version":1},"cited_work":{"arxiv_id":"2505.13211","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.13211","snapshot_observed_at":"2026-07-10T01:46:41.063877Z","title":"MAGI-1: Autoregressive Video Generation at Scale","venue":"cs.CV","work_id":"25e8bd3d-e51c-43ae-8126-4ea6ecdb3321","year":2025},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2505.13211","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:f8c2589f592c323ee46c83ef31797ffca573b84f036fc895b1d7f1fea4c153e6","observation_id":"03223e0b-1289-4c85-966f-66e86e03ae19","resolution":{"observed_at":"2026-07-04T00:29:15.576571Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Sora 2 system card openai september 30, 2025 1, Sep 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:b5d17ea04c62f4ba6192bc224c4e5db01decd4fd927e064181f9adc0fd1f33cb","observation_id":"66d7c883-6257-4fd3-9c06-2ca09efb727c","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.12489","last_updated":"2025-05-21T04:44:19Z","snapshot_observed_at":"2026-07-06T21:25:52.131700Z","submitted_at":"2025-05-18T16:22:58Z","title":"Video-GPT via Next Clip Diffusion","version":2},"cited_work":{"arxiv_id":"2505.12489","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.12489","snapshot_observed_at":"2026-07-04T00:29:15.579090Z","title":"Video-gpt via next clip diffusion","venue":null,"work_id":"1e00fb21-49a8-4df9-9b38-2b5a43f00bf5","year":2025},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2505.12489","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:7f9e41b90187a5225cd14f633472f09fe0ae2d150e558ba8ac981f68b98ae171","observation_id":"44d09f2a-165f-45ad-aa34-059944b20b3c","resolution":{"observed_at":"2026-07-04T00:29:15.582217Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2511.20280","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T00:29:15.595930Z","title":"Bootstrapping physics-grounded video generation through vlm-guided iterative self-refinement.arXiv preprint arXiv:2511.20280, 2025","venue":null,"work_id":"4eee2dfe-ddc9-4235-91eb-026017b52a0d","year":2025},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:8c59efed0d3862f042c0aceb207397a35e3f7f2fd6df565db252724d67d15020","observation_id":"44a16f31-f0a5-44ab-959c-15f981d555a8","resolution":{"observed_at":"2026-07-04T00:29:15.600728Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2603.03485","last_updated":"2026-06-16T03:03:30Z","snapshot_observed_at":"2026-08-03T10:14:56.143622Z","submitted_at":"2026-03-03T20:01:43Z","title":"Phys4D: Fine-Grained Physics-Consistent 4D Modeling from Video Diffusion","version":3},"cited_work":{"arxiv_id":"2603.03485","doi":null,"metadata_source":"pith","pith_arxiv_id":"2603.03485","snapshot_observed_at":"2026-07-04T00:29:15.530300Z","title":"Phys4D: Fine-Grained Physics-Consistent 4D Modeling from Video Diffusion","venue":"cs.CV","work_id":"e7f2f123-6beb-4893-85ea-3cdb5d6bcbf2","year":2026},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2603.03485","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:3d46a156279eb8414da9ef37091d0a62625b923e16b97a07e396849ec2602fc2","observation_id":"3767dfd5-fc5b-4f83-a548-408229ea81a1","resolution":{"observed_at":"2026-07-04T00:29:15.532971Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03520","last_updated":"2024-10-03T17:24:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-06-05T17:53:55Z","title":"VideoPhy: Evaluating Physical Commonsense for Video Generation","version":2},"cited_work":{"arxiv_id":"2406.03520","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.03520","snapshot_observed_at":"2026-07-07T15:43:53.689981Z","title":"VideoPhy: Evaluating Physical Commonsense for Video Generation","venue":"cs.CV","work_id":"27ed795c-abbe-4de1-9a7a-2ecf39c354f3","year":2024},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2406.03520","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:d92f8f654b1aa687d5a4b09ecbb6c510d055e744bfbeaf0cc9be40bdf90394df","observation_id":"9f06c405-0931-4b41-81e7-00d479976f47","resolution":{"observed_at":"2026-07-04T00:29:15.543085Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05363","last_updated":"2024-10-07T17:56:04Z","snapshot_observed_at":"2026-07-06T19:29:14.335016Z","submitted_at":"2024-10-07T17:56:04Z","title":"Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation","version":1},"cited_work":{"arxiv_id":"2410.05363","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.05363","snapshot_observed_at":"2026-07-08T07:14:45.198485Z","title":"Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation","venue":"cs.CV","work_id":"644e2886-7387-436d-ac11-d848af5fcc71","year":2024},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2410.05363","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:6a5092d3493b77051826853ca8e782197126b60843f6b37a7d1253e2b8a111be","observation_id":"16524ed0-c571-4453-ac46-0956dbda8f5b","resolution":{"observed_at":"2026-07-04T00:29:15.516602Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Language models are not naysayers: an analysis of language models on negation benchmarks","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:38510f88f5373966a4ee4aa64e779513bcbbff42599271e0c129a24b8e052b42","observation_id":"7b40cb95-45c3-4b9a-b921-042a586a5f8c","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"This is not a dataset: A large negation benchmark to challenge large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:474466e72d751ccd97d1d3c13d041521c96b8366076fdaf1f0c4294b0ce984a5","observation_id":"a17f7b5f-fe62-4d94-a2d4-b49ae5b51f98","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Valse: A task-independent benchmark for vision and language models centered on linguistic phenomena","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:5624652e54543a1cb29d24836d0f0d180c6d136f62ff2f18cecd7dc7b034053f","observation_id":"5e920efd-b4e0-48c0-a1dd-b5afaf3fc16d","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Vision-language models do not understand negation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:ead886e72288f8712ebf4f13976421b9ab06948c5d5ababe0ded8a2e140c11b5","observation_id":"f61e1973-9785-4608-970f-4c16f850e286","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17066","last_updated":"2024-11-26T03:06:52Z","snapshot_observed_at":"2026-07-06T19:57:01.568072Z","submitted_at":"2024-11-26T03:06:52Z","title":"Relations, Negations, and Numbers: Looking for Logic in Generative Text-to-Image Models","version":1},"cited_work":{"arxiv_id":"2411.17066","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.17066","snapshot_observed_at":"2026-07-04T00:29:15.590650Z","title":"Relations, negations, and numbers: Looking for logic in generative text-to-image models.arXiv preprint arXiv:2411.17066, 2024","venue":null,"work_id":"90d1711d-823b-454c-b38f-6ee7d2d63670","year":2024},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2411.17066","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:b4b2223291ccdf28baad9f92d7920f14bd9ea1ca2daaadcb3e1b7d1fbc50fa5a","observation_id":"a5567720-cd67-4818-91aa-c18697caeb0f","resolution":{"observed_at":"2026-07-04T00:29:15.593237Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20314","last_updated":"2025-04-19T02:22:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-26T08:25:43Z","title":"Wan: Open and Advanced Large-Scale Video Generative Models","version":2},"cited_work":{"arxiv_id":"2503.20314","doi":"10.1109/19.492748","metadata_source":"pith","pith_arxiv_id":"2503.20314","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Wan: Open and Advanced Large-Scale Video Generative Models","venue":"cs.CV","work_id":"ad3ebc3b-4224-46c9-b61d-bcf135da0a7c","year":2025},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2503.20314","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:29bb8a936e291fb0e01fa836a325f166909d9a3347cf1bfaa6f50b0d5121a4df","observation_id":"4a75a9b3-1a28-4951-b705-5396ceb95c85","resolution":{"observed_at":"2026-07-04T00:29:15.606338Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.03603","last_updated":"2025-03-11T08:14:25Z","snapshot_observed_at":"2026-08-03T00:44:01.942521Z","submitted_at":"2024-12-03T23:52:37Z","title":"HunyuanVideo: A Systematic Framework For Large Video Generative Models","version":6},"cited_work":{"arxiv_id":"2412.03603","doi":"10.48550/arxiv.2412.03603","metadata_source":"pith","pith_arxiv_id":"2412.03603","snapshot_observed_at":"2026-07-11T01:07:45.135143Z","title":"HunyuanVideo: A Systematic Framework For Large Video Generative Models","venue":"cs.CV","work_id":"881efa7e-7e73-4c66-9cc3-2803e551061c","year":2024},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2412.03603","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:dc37b18d803ff69b45e78f6b3ea4a4f8d6d48f3f16d8742169aba5a3ffadde22","observation_id":"91c1a255-bfce-4657-9a8a-ad8a8959c79c","resolution":{"observed_at":"2026-07-04T00:29:15.547099Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-07-10T21:18:49.433177+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T21:18:49.433177+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2606.02800","last_updated":"2026-06-23T17:33:32Z","snapshot_observed_at":"2026-07-06T23:43:07.940839Z","submitted_at":"2026-06-01T19:12:30Z","title":"Cosmos 3: Omnimodal World Models for Physical AI","version":4},"cited_work":{"arxiv_id":"2606.02800","doi":"10.48550/arxiv.2606.02800","metadata_source":"pith","pith_arxiv_id":"2606.02800","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Cosmos 3: Omnimodal World Models for Physical AI","venue":"cs.CV","work_id":"ac5e3265-03db-4f0f-a27f-6d9bea03379c","year":2026},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2606.02800","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:74f59e5839b02db665f60465ac5e7bcee6b910b8ce794c5617bd28b7845dfce8","observation_id":"4a382069-ca46-4061-8322-4b9cea202198","resolution":{"observed_at":"2026-07-04T00:29:15.556417Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-07-10T21:18:50.194666+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T21:18:50.194666+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"URL https://www.pruna.ai/","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:1e9eb33d78051435206f94b3ff579d11fc3026623805950b7d93a366bbe55147","observation_id":"d3dd875a-1f3c-4d58-9f01-5402aa707c1f","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Grok Imagine API: State-of-the-art video generation across quality, cost, and latency","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:5b5841a2879383d2685a28dcad9c540ec6acbc68bfd8143446850cbaec66a29c","observation_id":"75d09f1c-fd56-444c-b7cc-9cd0cd4b129e","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"The treatment of ties in ranking problems.Biometrika, 33(3):239–251, 1945","venue":null,"work_id":null,"year":1945},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:9022f18492d9f379967424a160a09f596d55373d2f88035a3896287397461875","observation_id":"8d6649f4-e3de-4330-9920-6bdac51e3a58","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"The proof and measurement of association between two things","venue":null,"work_id":null,"year":1961},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:9d4d22761565622742be428be233d4acefbaad34268b7767f16847aba3e541f3","observation_id":"7c91c098-94bf-44b0-ac42-047618c27314","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Lawrence Erlbaum Associates, Inc, 1977","venue":null,"work_id":null,"year":1977},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:6dbf637e72737fa29c6c97c880c4e10763a75d6d251e96dd3ea9623b239f5d9c","observation_id":"4ce1b74b-b7b5-4c25-b48c-dc3e93591251","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Individual comparisons by ranking methods.Biometrics bulletin, 1(6):80–83, 1945","venue":null,"work_id":null,"year":1945},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:98b1eb94d602342b2671d7d8958a2d54b517759b8a218d74b18c1d7664e67286","observation_id":"2ab89000-4f7c-4f9e-9f74-4515cd591e11","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Statistical comparisons of classifiers over multiple data sets.Journal of Machine learning research, 7(Jan):1–30, 2006","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:3573c148ec7a3d22d7c2b55ca53e70c8e939c2973f6252155e987f06f73a2680","observation_id":"8a1a66fc-8a69-4ae2-90ea-80a88e7363c9","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Paradoxical effects of thought suppression.Journal of personality and social psychology, 53(1):5, 1987","venue":null,"work_id":null,"year":1987},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:6423b206eb543227dcd13e5cd43ae2fbce0ccc2ac54cfdfdf3faf1be681d8a2d","observation_id":"ea168d6d-8565-4a31-badd-f613d5ccd72d","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Phyt2v: Llm-guided iterative self-refinement for physics-grounded text-to-video generation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:46f9391f2e21fa079ecc668f6f3239d13dff16c3b618165d881e7a9d2556e37b","observation_id":"0dd14abb-ec5d-48d0-9c52-4472d4bc0468","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"VBench: Comprehensive benchmark suite for video generative models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:0a9c7b9b72ece2ab3249f2d5865f33d7ce7cca4b2f40d77e3606913b43efa225","observation_id":"627c8311-0862-452a-8388-188177ad71a3","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.13503","last_updated":"2024-11-20T17:54:41Z","snapshot_observed_at":"2026-07-06T19:53:17.024873Z","submitted_at":"2024-11-20T17:54:41Z","title":"VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models","version":1},"cited_work":{"arxiv_id":"2411.13503","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.13503","snapshot_observed_at":"2026-07-04T00:29:15.561418Z","title":"Vbench++: Comprehensive and versatile bench- mark suite for video generative models","venue":null,"work_id":"edd66998-17b7-45c3-b89b-4ddbbc9f3a96","year":2024},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2411.13503","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:9a0b1027550bf6896d90b232c91e38ea45f901a0bbf174c2b12b30e0080005e0","observation_id":"d8a0162c-00ad-47fc-ae85-2be8c7553b65","resolution":{"observed_at":"2026-07-04T00:29:15.563864Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"EvalCrafter: Benchmarking and evaluating large video generation models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:f9bfeb1dd61b2eeef9d504f45222070ff21b793fcdc2add994b3288b20ea3e45","observation_id":"46f826b6-5c3d-4c68-a13f-a773fd31e14b","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21755","last_updated":"2025-08-20T15:49:30Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-27T17:57:01Z","title":"VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness","version":2},"cited_work":{"arxiv_id":"2503.21755","doi":"10.48550/arxiv.2503.21755","metadata_source":"pith","pith_arxiv_id":"2503.21755","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness","venue":"cs.CV","work_id":"14060202-ac5f-48e9-b91a-24d150775431","year":2025},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2503.21755","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:0af24f849c317c6f7647ecf0390fdaa14357cd059208a8da4e2142aa9dea63e8","observation_id":"39818612-6086-477c-8d37-1dc8e6664cb4","resolution":{"observed_at":"2026-07-04T00:29:15.588672Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.13609","last_updated":"2024-11-24T09:57:15Z","snapshot_observed_at":"2026-07-06T19:53:21.444233Z","submitted_at":"2024-11-20T01:40:00Z","title":"What You See Is What Matters: A Novel Visual and Physics-Based Metric for Evaluating Video Generation Quality","version":2},"cited_work":{"arxiv_id":"2411.13609","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.13609","snapshot_observed_at":"2026-07-04T00:29:15.617245Z","title":"What you see is what matters: A novel visual and physics-based metric for evaluating video generation quality.arXiv preprint arXiv:2411.13609, 2024","venue":null,"work_id":"762d994a-8c6a-4b54-a979-c4e05d15dd7c","year":2024},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2411.13609","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:0d32db518e91925549eeae22b424f384d99787a064eba4d0e510c7f634e5edb4","observation_id":"b0485cb6-0cb9-4947-b109-a2c8763a8646","resolution":{"observed_at":"2026-07-04T00:29:15.620984Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.02918","last_updated":"2026-06-29T01:14:54Z","snapshot_observed_at":"2026-07-06T21:03:55.628788Z","submitted_at":"2025-04-03T15:21:17Z","title":"Evaluating Newtonian Mechanics in Video Generative Models with Real Physical Systems","version":3},"cited_work":{"arxiv_id":"2504.02918","doi":"10.48550/arxiv.2504.02918","metadata_source":"pith","pith_arxiv_id":"2504.02918","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Zhang, D","venue":"cs.CV","work_id":"a5729cf7-9ce0-49a1-a57d-9886470c40b7","year":2025},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"cited_paper":"/paper/2504.02918","citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:38d02066151d21f1f6117352bcbe7a961dcaed97ec0a18743d1eb5659342ddf2","observation_id":"aa89d958-0b2c-43d4-b993-5bb693ffa962","resolution":{"observed_at":"2026-07-04T00:29:15.600381Z","resolver_source":"local_arxiv","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-07-10T21:18:48.706484+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T21:18:48.706484+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T21:13:36.568700Z","title":"Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-06-26T21:13:36.568700Z"},"links":{"citing_paper":"/paper/2606.18943"},"observation_digest":"sha256:c31c28e038cf80b22e1b3dce016362081e9b43d19941e225565e41fb2d6a1dc3","observation_id":"73c8d3ae-c1c4-49db-9607-6a968b3f8aa8","resolution":{"observed_at":"2026-06-26T21:13:36.568700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.18943","last_updated":"2026-06-17T11:23:52Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-01T03:49:23.750491Z","submitted_at":"2026-06-17T11:23:52Z","title":"Physics-IQ Verified"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":1,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":27,"verified_exact":22,"verified_fuzzy":0},"total_outbound_references":53},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 2 inbound Pith citation observations for arXiv:2606.18943."}