{"as_of":"2026-08-20T22:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e861daa255cf81cb264692139d3e8bcb7b9845d4673f3108d6fda99d185b81d5","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T11:29:26.829574Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T03:23:56.001153Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2607.19876","snapshot_observed_at":"2026-08-04T03:23:56.001153Z","title":"Kinebench: Benchmarking embodied world models via idm-free kinematic grounding.arXiv preprint arXiv:2607.19876, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.02603","last_updated":"2026-08-03T17:59:54Z","snapshot_observed_at":"2026-08-15T08:24:03.982326Z","submitted_at":"2026-08-03T17:59:54Z","title":"WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T03:23:56.001153Z"},"links":{"cited_paper":"/paper/2607.19876","citing_paper":"/paper/2608.02603"},"observation_digest":"sha256:fef8fdeeffe95170ea7ab4c97c0ee43f3d5122ee93833eb6346e65f74b863b31","observation_id":"a6bb979c-cc10-458d-8091-abfef7483c15","resolution":{"observed_at":"2026-08-04T03:23:56.001153Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2607.19876/citation-record","integrity":"/paper/2607.19876/integrity","json":"/paper/2607.19876/citation-record.json","paper":"/paper/2607.19876"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:22.524726Z","title":"IEEE Rransactions On Biomedical Engineering59(8), 2126–2136 (2011)","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:22.524726Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:1cb16943db68d48f18c61fb915ad47ecce037f0c5131ce07beadbeac917b1a91","observation_id":"f0bec22c-28cb-4ef5-8840-7af2f080b0fd","resolution":{"observed_at":"2026-08-01T11:29:22.524726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:22.568235Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:22.568235Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:00f3a9c86813360c36f367fb3049592576966ba3b0c9c70244f01fd8b12e16b7","observation_id":"fb3772a2-b771-4300-a781-f829ac8e3331","resolution":{"observed_at":"2026-08-01T11:29:22.568235Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:22.612928Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:22.612928Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:b45a5de33a07fbf2c04069bbfd72a0f84b26d787ed28cfb9b111a188afb95dfe","observation_id":"a019e91c-0bd6-4b28-ad07-f4bb6993117b","resolution":{"observed_at":"2026-08-01T11:29:22.612928Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:22.677416Z","title":"In: Forty-first International Conference on Machine Learning (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:22.677416Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:3e72f71e23b987e9890b8118f87a5af183a53b00fb8da94099ea7395cbaa327d","observation_id":"19ad0c21-03fc-459d-984a-100b55531edc","resolution":{"observed_at":"2026-08-01T11:29:22.677416Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.21539","last_updated":"2025-06-26T17:55:40Z","snapshot_observed_at":"2026-08-13T10:05:34.967093Z","submitted_at":"2025-06-26T17:55:40Z","title":"WorldVLA: Towards Autoregressive Action World Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.21539","snapshot_observed_at":"2026-08-01T11:29:22.750766Z","title":"arXiv preprint arXiv:2506.21539 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:22.750766Z"},"links":{"cited_paper":"/paper/2506.21539","citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:5892bbe6c6ede195905e7b3462a377148f045ecefaad7645419ee4c2bb9dfe85","observation_id":"be450e8b-9f0d-4dbd-b0aa-b71a6b0ee643","resolution":{"observed_at":"2026-08-01T11:29:22.750766Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2512.15840","last_updated":"2026-05-08T06:37:02Z","snapshot_observed_at":"2026-08-11T06:04:17.319434Z","submitted_at":"2025-12-17T18:35:54Z","title":"Large Video Planner Enables Generalizable Robot Control","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2512.15840","snapshot_observed_at":"2026-08-01T11:29:22.823149Z","title":"arXiv preprint arXiv:2512.15840 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:22.823149Z"},"links":{"cited_paper":"/paper/2512.15840","citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:08da91a3803f0df7d288970fe3c65c2a40a828cc409e6b5a529bf9bc09e23b34","observation_id":"4cad73c2-b0bd-4619-b4a0-2bc14a609c71","resolution":{"observed_at":"2026-08-01T11:29:22.823149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:22.909371Z","title":"arXiv preprint arXiv:2509.22642 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:22.909371Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:8f2d3b86f52efe268cf8f2f2e0e5b9fc99ee94f02a16d1f5647aa129e15ff3ea","observation_id":"7865cbed-69c9-459c-b973-8b2628f0808f","resolution":{"observed_at":"2026-08-01T11:29:22.909371Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:23.059001Z","title":"arXiv preprint arXiv:2601.15282 (2026)","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:23.059001Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:0690b2942a99a7e4597a5b1cd6fad440193dfe4f4207c302b91266ef1c5e0662","observation_id":"4ad8e54a-074b-470e-99ae-2c2512f3e397","resolution":{"observed_at":"2026-08-01T11:29:23.059001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:23.176804Z","title":"Advances in neural information processing systems36, 9156–9172 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:23.176804Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:6e0577cc145c82c5d2f8e29936e0297548de3e3b70a8d7681202125cbb853970","observation_id":"e06e6f49-29ab-42cb-9db6-1a19174821d3","resolution":{"observed_at":"2026-08-01T11:29:23.176804Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:23.308458Z","title":"arXiv preprint arXiv:2601.04137 (2026)","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:23.308458Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:3bc8761246bb156bb1dbb6ba56dd048a7f20c76367a3beae959864ddeff72999","observation_id":"4f6b16c3-ef27-413f-8021-092b73b312d9","resolution":{"observed_at":"2026-08-01T11:29:23.308458Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:23.380866Z","title":"In: Advances in Neural Information Processing Systems 31, pp","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:23.380866Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:41177b935f5a5decc42e77b1ae9bbb512284f09593bebd9cb090732ada0557fc","observation_id":"88faf3cf-5294-42b8-b025-da1dcd0f5680","resolution":{"observed_at":"2026-08-01T11:29:23.380866Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.01603","last_updated":"2020-03-17T17:10:58Z","snapshot_observed_at":"2026-08-20T13:32:55.916408Z","submitted_at":"2019-12-03T18:57:16Z","title":"Dream to Control: Learning Behaviors by Latent Imagination","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.01603","snapshot_observed_at":"2026-08-01T11:29:23.464143Z","title":"arXiv preprint arXiv:1912.01603 (2019)","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:23.464143Z"},"links":{"cited_paper":"/paper/1912.01603","citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:0733da867cbaec695c4825e783846d99fa31c544295a1b936a273f5ff3e2d435","observation_id":"a31d7177-79cb-4896-874d-72d52be1f750","resolution":{"observed_at":"2026-08-01T11:29:23.464143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02193","last_updated":"2022-02-12T20:01:53Z","snapshot_observed_at":"2026-08-17T02:57:21.304714Z","submitted_at":"2020-10-05T17:52:14Z","title":"Mastering Atari with Discrete World Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02193","snapshot_observed_at":"2026-08-01T11:29:23.506654Z","title":"arXiv preprint arXiv:2010.02193 (2020)","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:23.506654Z"},"links":{"cited_paper":"/paper/2010.02193","citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:a407d4f6e2a64bd1243b3651b01019fb323d7de4e08479633d81dbea49460ae4","observation_id":"a6ebf574-da82-4886-a65e-68dcb783d335","resolution":{"observed_at":"2026-08-01T11:29:23.506654Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:23.710661Z","title":"Nature pp","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:23.710661Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:cff5cac8a99377133f6bfbef7b678192739d75b2e68b16dd5cfbd5d4059a85f6","observation_id":"83de1698-ba60-4587-9bc8-a91ca3dd0ad7","resolution":{"observed_at":"2026-08-01T11:29:23.710661Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14803","last_updated":"2025-05-04T04:28:53Z","snapshot_observed_at":"2026-08-13T21:27:22.538668Z","submitted_at":"2024-12-19T12:48:40Z","title":"Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14803","snapshot_observed_at":"2026-08-01T11:29:23.759708Z","title":"arXiv preprint arXiv:2412.14803 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:23.759708Z"},"links":{"cited_paper":"/paper/2412.14803","citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:059c0e95f617583e53251c6805178597ee569acbf9af846acc260d7551ddee51","observation_id":"a41a65f7-99e5-43ac-9080-abd52fa43302","resolution":{"observed_at":"2026-08-01T11:29:23.759708Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:23.859313Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) KineBench 17","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:23.859313Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:a4e97c7688c276e90568b91c125fdd36f1fb20f453fc36039848153d5d5a3282","observation_id":"6d75970b-273b-4804-a559-0ec36c3ec82d","resolution":{"observed_at":"2026-08-01T11:29:23.859313Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:23.900216Z","title":"Advances in Neural Information Processing Systems38, 156210–156256 (2026)","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:23.900216Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:c66918b509630c9f16c58be54c94a6ee6c16c4287c651cc61ae513ca65279c8d","observation_id":"f280fe87-d591-4adc-baf5-3ef5fae0b138","resolution":{"observed_at":"2026-08-01T11:29:23.900216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2001.08361","last_updated":"2020-01-23T03:59:20Z","snapshot_observed_at":"2026-08-13T17:41:53.092611Z","submitted_at":"2020-01-23T03:59:20Z","title":"Scaling Laws for Neural Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.08361","snapshot_observed_at":"2026-08-01T11:29:23.941089Z","title":"arXiv preprint arXiv:2001.08361 (2020)","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:23.941089Z"},"links":{"cited_paper":"/paper/2001.08361","citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:c2ffbfc9e4deddc60a4f7bed6e6c3795798a3c3b3fd0463d9d4afb93402584fd","observation_id":"f53832a5-dc6b-4807-94ad-16d8453bf9a6","resolution":{"observed_at":"2026-08-01T11:29:23.941089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.03603","last_updated":"2025-03-11T08:14:25Z","snapshot_observed_at":"2026-08-17T07:44:10.213698Z","submitted_at":"2024-12-03T23:52:37Z","title":"HunyuanVideo: A Systematic Framework For Large Video Generative Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.03603","snapshot_observed_at":"2026-08-01T11:29:24.041211Z","title":"arXiv preprint arXiv:2412.03603 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:24.041211Z"},"links":{"cited_paper":"/paper/2412.03603","citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:98bf6dfda777c847fbadc4907cd46b02c5c9b9e5993ad291dfdf5afdf860f1a9","observation_id":"c5cc074a-d759-4299-8afb-c945b0c3beae","resolution":{"observed_at":"2026-08-01T11:29:24.041211Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:24.203542Z","title":"In: 2017 IEEE in- ternational conference on robotics and automation (ICRA)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:24.203542Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:18a0657b1d96e91fb947722a5b483d8ecd80ac9ff5dd1f7647dcf8ad1b1babf8","observation_id":"3b61dd4a-ec48-420e-ba4c-5ae8faf87a76","resolution":{"observed_at":"2026-08-01T11:29:24.203542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:24.357893Z","title":"arXiv preprint arXiv:2512.00425 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:24.357893Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:0a8640ae9d4c2e9b306c01cc88fa87f3774249b40255e91e8554d121034eb38e","observation_id":"36b9eab8-c092-4c98-a569-016b136b3b34","resolution":{"observed_at":"2026-08-01T11:29:24.357893Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:24.429184Z","title":"2, 2022-06-27","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:24.429184Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:cbb3e43e970a5fbde018b9fab670ea6c32a3e76903fa1d8d538248ca9eb16d2c","observation_id":"790171f1-ce28-409a-b05e-2b5571c2a16d","resolution":{"observed_at":"2026-08-01T11:29:24.429184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17177","last_updated":"2024-04-17T18:41:39Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-27T03:30:58Z","title":"Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17177","snapshot_observed_at":"2026-08-01T11:29:24.534892Z","title":"arXiv preprint arXiv:2402.17177 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:24.534892Z"},"links":{"cited_paper":"/paper/2402.17177","citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:1c4eb829461d4b1407636348255fc473d8a3e6d4ef832d2f36c30a221e9a5dd6","observation_id":"a6bb9b9c-e536-4474-9195-4baa33fd05e6","resolution":{"observed_at":"2026-08-01T11:29:24.534892Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:24.644015Z","title":"In: International Conference on Machine Learning (ICML) (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:24.644015Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:890ec4c68f9f4dda91a8e640002a0b988ff6930d4387a3a2e74d44559d98c77f","observation_id":"1c0ea38c-c512-4cd2-9b03-0ab15bca8308","resolution":{"observed_at":"2026-08-01T11:29:24.644015Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:24.767333Z","title":"arXiv preprint arXiv:2510.25238 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:24.767333Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:f8e61f678d81477962e5dd7ffbd7662a8df8b7772831e8c4819d9a8ab202da83","observation_id":"95d9e18f-f1f9-4a49-b280-fd1e72f266fa","resolution":{"observed_at":"2026-08-01T11:29:24.767333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.18072","last_updated":"2024-10-23T17:56:11Z","snapshot_observed_at":"2026-08-20T03:11:07.940068Z","submitted_at":"2024-10-23T17:56:11Z","title":"WorldSimBench: Towards Video Generation Models as World Simulators","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.18072","snapshot_observed_at":"2026-08-01T11:29:24.867712Z","title":"arXiv preprint arXiv:2410.18072 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:24.867712Z"},"links":{"cited_paper":"/paper/2410.18072","citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:471a70e137e2627bccdb2918197de57f5871717676e1d8eaa706212d7fd9c029","observation_id":"a47b9edb-c936-48fd-bec1-fbe836c40988","resolution":{"observed_at":"2026-08-01T11:29:24.867712Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2512.13507","last_updated":"2025-12-23T17:38:46Z","snapshot_observed_at":"2026-08-14T12:08:18.712691Z","submitted_at":"2025-12-15T16:36:52Z","title":"Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2512.13507","snapshot_observed_at":"2026-08-01T11:29:24.944764Z","title":"arXiv preprint arXiv:2512.13507 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:24.944764Z"},"links":{"cited_paper":"/paper/2512.13507","citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:e8c6da35c6f74b2433c6f08b2c5246519013787af26c2bc06ca7ae4c08649c53","observation_id":"84e1bf0e-39e2-4539-9807-18a55528360e","resolution":{"observed_at":"2026-08-01T11:29:24.944764Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:25.040008Z","title":"arXiv preprint arXiv:2510.09653 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:25.040008Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:06aa685ab81b25bb5d7527001b377a1f286ef7d6b467cd674ec1d0e9be992dbc","observation_id":"ede7d53e-c132-466a-b3e4-3a1bfb2260d7","resolution":{"observed_at":"2026-08-01T11:29:25.040008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.01717","last_updated":"2019-03-27T16:43:17Z","snapshot_observed_at":"2026-08-18T04:00:09.136122Z","submitted_at":"2018-12-03T03:57:42Z","title":"Towards Accurate Generative Models of Video: A New Metric & Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.01717","snapshot_observed_at":"2026-08-01T11:29:25.151154Z","title":"arXiv preprint arXiv:1812.01717 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:25.151154Z"},"links":{"cited_paper":"/paper/1812.01717","citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:b2fcc8252e131002075cf5b1a9885d0bf259c0fa12cbb72d83da749533518f4d","observation_id":"8bece776-46cc-48f0-824d-7b7d5ad00448","resolution":{"observed_at":"2026-08-01T11:29:25.151154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:25.218856Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:25.218856Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:3c03097269a2d0f4707d565fdbe20939ba735d88cc1634a24dc250e5778b0a99","observation_id":"25f40919-177f-4af2-acb5-c76986b7159c","resolution":{"observed_at":"2026-08-01T11:29:25.218856Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20314","last_updated":"2025-04-19T02:22:42Z","snapshot_observed_at":"2026-08-12T22:34:51.361078Z","submitted_at":"2025-03-26T08:25:43Z","title":"Wan: Open and Advanced Large-Scale Video Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.20314","snapshot_observed_at":"2026-08-01T11:29:25.288383Z","title":"arXiv preprint arXiv:2503.20314 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:25.288383Z"},"links":{"cited_paper":"/paper/2503.20314","citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:87780ea471b1af158582d95e2e2bea5039237231820aafa0dede73383b35d8f2","observation_id":"7e39da80-1fd0-4122-b39b-acdd34b18e5b","resolution":{"observed_at":"2026-08-01T11:29:25.288383Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.02546","last_updated":"2025-07-03T11:40:01Z","snapshot_observed_at":"2026-07-06T21:51:38.554688Z","submitted_at":"2025-07-03T11:40:01Z","title":"MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.02546","snapshot_observed_at":"2026-08-01T11:29:25.457707Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:25.457707Z"},"links":{"cited_paper":"/paper/2507.02546","citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:3dd0c78df124016fdd2b62bf9249b4ec4f6017cf1d09f1e99b9ba8d06fbe11b2","observation_id":"0f70b714-765e-472a-8f79-e6d4514afba4","resolution":{"observed_at":"2026-08-01T11:29:25.457707Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:25.501361Z","title":"IEEE transactions on image processing 13(4), 600–612 (2004)","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:25.501361Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:9fa18c56a2317d8472e42744af85cc4cbb62cb16e0f26271563c245f4573e059","observation_id":"234b79e4-c8fa-4329-b7e7-56d9aa18b42e","resolution":{"observed_at":"2026-08-01T11:29:25.501361Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:25.611691Z","title":"In: Proceedings of the IEEE/CVF conference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:25.611691Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:4acdd4698439bccffe1ccb37be4fa2690aabcca434e26218554eb3c9dd288aad","observation_id":"5dc0b209-5f87-4d0e-bcdf-b7d91e429c18","resolution":{"observed_at":"2026-08-01T11:29:25.611691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.18870","last_updated":"2025-11-25T02:52:10Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-11-24T08:22:07Z","title":"HunyuanVideo 1.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.18870","snapshot_observed_at":"2026-08-01T11:29:25.680343Z","title":"arXiv preprint arXiv:2511.18870 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:25.680343Z"},"links":{"cited_paper":"/paper/2511.18870","citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:e1161ce9fbd053a13239f896161f0482137c16318ee6a1f72deb7d2f8e6cc9e0","observation_id":"7001dd7a-d22c-4300-a5e1-3d8a2e2baa32","resolution":{"observed_at":"2026-08-01T11:29:25.680343Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06114","last_updated":"2024-09-26T17:14:09Z","snapshot_observed_at":"2026-08-13T12:06:46.989903Z","submitted_at":"2023-10-09T19:42:22Z","title":"Learning Interactive Real-World Simulators","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06114","snapshot_observed_at":"2026-08-01T11:29:25.739879Z","title":"arXiv preprint arXiv:2310.06114 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:25.739879Z"},"links":{"cited_paper":"/paper/2310.06114","citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:e8ddcc81fb2d9ca5c715388051f20cc925e0f108c15b6b8991258d88b04c1fb8","observation_id":"67681acf-cad7-47c6-a62f-1bb2b9e94a49","resolution":{"observed_at":"2026-08-01T11:29:25.739879Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.15922","last_updated":"2026-02-17T15:04:02Z","snapshot_observed_at":"2026-08-09T12:54:21.149243Z","submitted_at":"2026-02-17T15:04:02Z","title":"World Action Models are Zero-shot Policies","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.15922","snapshot_observed_at":"2026-08-01T11:29:25.785674Z","title":"arXiv preprint arXiv:2602.15922 (2026)","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:25.785674Z"},"links":{"cited_paper":"/paper/2602.15922","citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:5eac1bd24b4181dfd6656596781b486386bd555d186b70fb1e8464166612540d","observation_id":"c3d2960a-94fb-484b-a31a-58ec298d0970","resolution":{"observed_at":"2026-08-01T11:29:25.785674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:25.926310Z","title":"The international journal of Robotics Research4(2), 3–9 (1985)","venue":null,"work_id":null,"year":1985},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:25.926310Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:d9e10695515fc02bec591b7a445d7309f5dab6cdb3b745b0328f9d535d2a3273","observation_id":"c1707769-d05d-4cf9-a218-709ba8044595","resolution":{"observed_at":"2026-08-01T11:29:25.926310Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:26.057566Z","title":"arXiv preprint arXiv:2510.11512 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:26.057566Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:70162040a05f239c2b91d13cdbcc467a147fc3e0c4339383b64721327faf2421","observation_id":"77f54af9-dbd2-4c52-bf59-c292b9527b20","resolution":{"observed_at":"2026-08-01T11:29:26.057566Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:26.171807Z","title":"In: The Fourteenth International Conference on Learning Representations (2026), https://openreview.net/forum?id=yDmb7xAfeb","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:26.171807Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:7622c4d0c64ef0a99d8f52ee663c69b17ead3353fbf229e270ebdd42fb478f56","observation_id":"6c30d7ff-2fd4-4f96-a87c-ed9d38af38f4","resolution":{"observed_at":"2026-08-01T11:29:26.171807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:26.327097Z","title":"Trans- actions on Machine Learning Research (2025),https://openreview.net/forum? id=xT8BEgXmVc","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:26.327097Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:77c6d34fc59ba224029682ac071fdcae2eb6a571586ddc3e8b09a13141b60899","observation_id":"f8d337b6-5052-4d5f-90e4-c93a64758e2b","resolution":{"observed_at":"2026-08-01T11:29:26.327097Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:26.525360Z","title":"In: The Thirty- ninthAnnualConferenceonNeuralInformationProcessingSystems(2025),https: //openreview.net/forum?id=rRxFIOoEeF","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:26.525360Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:11d3cb923286829ed2a3e7490be869f6e7f58e217c3657058af1376cfc9fb9cd","observation_id":"c273e11a-52a4-4278-9603-a60fca99db42","resolution":{"observed_at":"2026-08-01T11:29:26.525360Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:26.664411Z","title":"arXiv preprint arXiv:2512.06963 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:26.664411Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:ee575ba23abd22ae181fc950af7ae07486a839230a43763dd0c7612263997389","observation_id":"6ca971ab-00ad-4683-bcca-c647fd995b48","resolution":{"observed_at":"2026-08-01T11:29:26.664411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:29:26.829574Z","title":"arXiv preprint arXiv:2506.18241 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-01T11:29:26.829574Z"},"links":{"citing_paper":"/paper/2607.19876"},"observation_digest":"sha256:f94ef292a03b378b8fe87f91810fe555d207690c5771bf13b424cb81b1550d90","observation_id":"4c6b651f-4e12-4a71-b62f-0093e301ac98","resolution":{"observed_at":"2026-08-01T11:29:26.829574Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.19876","last_updated":"2026-07-22T08:04:17Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-17T07:59:47.492816Z","submitted_at":"2026-07-22T08:04:17Z","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":44,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":44},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2607.19876."}