{"as_of":"2026-08-05T06:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8f134ce0d2eb518f04d847f01709ed90741f8fcebf240731861e8a333696219c","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":27,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T15:15:44.115282Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T15:49:57.996142Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2401.03890","last_updated":"2026-04-09T05:33:48Z","snapshot_observed_at":"2026-08-02T14:35:25.400234Z","submitted_at":"2024-01-08T13:42:59Z","title":"A Survey on 3D Gaussian Splatting","version":9},"reference_index":134,"source":"pdf_text","source_observed_at":"2026-05-24T04:17:05.906282Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2401.03890"},"observation_digest":"sha256:ed489dda4d5961f2ad66465f943befff40a2c6129595cdd6ac8fef0672037195","observation_id":"aeeaed79-4892-4218-9a16-cd9704cb2bc9","resolution":{"observed_at":"2026-05-24T04:18:54.412164Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_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},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-20T11:34:37.599691Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2406.03520"},"observation_digest":"sha256:43e4e744d429c30a88395499cd40459edb8a7800d44d6e0a16b7a3ae5244a1cc","observation_id":"4c797d12-e72d-48ea-a8d9-def57f6d0f53","resolution":{"observed_at":"2026-05-20T11:34:37.684658Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2506.05317","last_updated":"2026-05-18T22:52:25Z","snapshot_observed_at":"2026-07-06T21:37:28.044836Z","submitted_at":"2025-06-05T17:55:56Z","title":"ProJo4D: Progressive Joint Optimization for Sparse-View Inverse Physics Estimation","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-22T00:10:23.227010Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2506.05317"},"observation_digest":"sha256:6f7e311b72d21640d78aa26dcd33e96316cf92a4822f1608d7ac42884400bb39","observation_id":"67124c49-abff-48c9-a56d-470d474ae76a","resolution":{"observed_at":"2026-05-22T00:10:47.443116Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2508.09977","last_updated":"2026-04-11T08:26:14Z","snapshot_observed_at":"2026-07-06T22:12:31.023627Z","submitted_at":"2025-08-13T17:44:39Z","title":"A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation","version":4},"reference_index":186,"source":"pdf_text","source_observed_at":"2026-05-18T22:39:24.200019Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2508.09977"},"observation_digest":"sha256:eab13ebc331e57bbee9e551a722786a717124c1bebb149a137d88b87e9e5f620","observation_id":"e2c14f53-4a08-4d75-a95e-c2deb27e162f","resolution":{"observed_at":"2026-05-18T22:41:53.263157Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2601.23286","last_updated":"2026-06-07T21:12:04Z","snapshot_observed_at":"2026-08-03T06:13:17.430436Z","submitted_at":"2026-01-30T18:59:57Z","title":"VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-16T09:16:57.528410Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2601.23286"},"observation_digest":"sha256:f3a190626ae73450d62ceb662d6dff631a058fe0c43a6b9d2903c1d51d00bec1","observation_id":"6010fa96-af35-4ec0-a29c-02c6484b0c7d","resolution":{"observed_at":"2026-05-16T09:17:40.248141Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-08-03T06:13:19.816662Z","title":"Liu, J., Liu, G., Liang, J., Li, Y ., Liu, J., Wang, X., Wan, P., Zhang, D., and Ouyang, W","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.23286","last_updated":"2026-06-07T21:12:04Z","snapshot_observed_at":"2026-08-03T06:13:17.430436Z","submitted_at":"2026-01-30T18:59:57Z","title":"VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T06:13:19.816662Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2601.23286"},"observation_digest":"sha256:a20b8280a792f8c32449bc8898e8c9a079d4718b8e4e1f75c542a0b0c596bf99","observation_id":"3bc500c5-cf8d-4257-bfb4-a6e476eb988e","resolution":{"observed_at":"2026-08-03T06:13:19.816662Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2603.11911","last_updated":"2026-05-06T13:54:46Z","snapshot_observed_at":"2026-07-06T22:48:48.873215Z","submitted_at":"2026-03-12T13:28:50Z","title":"InSpatio-WorldFM: An Open-Source Real-Time Generative Frame Model","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-15T12:07:17.341611Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2603.11911"},"observation_digest":"sha256:5b022c9293ffabbbfd88d9fcd8e3638cebd37233e4564577acd68a43d0592a65","observation_id":"ef88e135-4038-407a-a2b1-50e5ffc2c026","resolution":{"observed_at":"2026-05-15T12:09:59.859280Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2604.06339","last_updated":"2026-04-07T18:17:05Z","snapshot_observed_at":"2026-07-06T22:54:53.308309Z","submitted_at":"2026-04-07T18:17:05Z","title":"Evolution of Video Generative Foundations","version":1},"reference_index":295,"source":"pdf_text","source_observed_at":"2026-05-10T18:41:38.616611Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2604.06339"},"observation_digest":"sha256:78c33d183ac599a2d221269b33b76a384623e5cbedb3bc9d9bfa7b01825eee7b","observation_id":"5d512d07-60bb-426d-9e6e-1102fa6d53bc","resolution":{"observed_at":"2026-05-11T00:05:51.101037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2604.09415","last_updated":"2026-04-10T15:27:27Z","snapshot_observed_at":"2026-07-06T22:58:17.167367Z","submitted_at":"2026-04-10T15:27:27Z","title":"PhysInOne: Visual Physics Learning and Reasoning in One Suite","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-10T16:39:48.066744Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2604.09415"},"observation_digest":"sha256:d2bd8ce5f238c26c588e60a75d366ea2a1f2e405a63910c08477ec4bb1469228","observation_id":"a53671fa-c785-4a57-b0aa-6a77902ae182","resolution":{"observed_at":"2026-05-11T08:25:59.635792Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2605.00177","last_updated":"2026-07-31T03:42:48Z","snapshot_observed_at":"2026-08-05T06:12:22.748804Z","submitted_at":"2026-04-30T19:53:37Z","title":"FieryGS: In-the-Wild Fire Synthesis with Physics-Integrated Gaussian Splatting","version":1},"reference_index":113,"source":"arxiv_source","source_observed_at":"2026-05-09T19:52:57.426347Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2605.00177"},"observation_digest":"sha256:0625303fa0ff3d6f74f04af5958516f0dfbb85e2b6ebf2fc8e804b7cb1db4af9","observation_id":"e9a9c30a-dc52-42c7-b52e-e8c5b2dfc058","resolution":{"observed_at":"2026-05-11T15:31:05.954354Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-08-03T02:28:26.570007Z","title":"Physics3d: Learning physical properties of 3d gaussians via video diffusion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.00177","last_updated":"2026-07-31T03:42:48Z","snapshot_observed_at":"2026-08-05T06:12:22.748804Z","submitted_at":"2026-04-30T19:53:37Z","title":"FieryGS: In-the-Wild Fire Synthesis with Physics-Integrated Gaussian Splatting","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-03T02:28:26.570007Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2605.00177"},"observation_digest":"sha256:3f618bf43e90f0466046088a1837d271f945bf732d9a6fea2e239eacab2b31bb","observation_id":"9ed5a6d1-0e6e-4cf6-89c7-f381cb654a37","resolution":{"observed_at":"2026-08-03T02:28:26.570007Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2605.16022","last_updated":"2026-05-15T14:56:54Z","snapshot_observed_at":"2026-07-06T23:27:15.745896Z","submitted_at":"2026-05-15T14:56:54Z","title":"EndoGSim: Physics-Aware 4D Dynamic Endoscopic Scene Simulations via MLLM-Guided Gaussian Splatting","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-20T19:53:08.472172Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2605.16022"},"observation_digest":"sha256:6fffe4a1e68d31fdcbd1d7287da938ecccec42253afb51148c2aec700f1763a3","observation_id":"b7cc769a-f1d3-41bd-8842-6394c5072d49","resolution":{"observed_at":"2026-05-20T19:53:42.135924Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2605.19386","last_updated":"2026-05-19T05:32:49Z","snapshot_observed_at":"2026-07-06T23:30:06.876413Z","submitted_at":"2026-05-19T05:32:49Z","title":"MatPhys: Learning Material-Aware Physics Parameters for Deformable Object Simulation from Videos","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-20T06:13:48.662625Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2605.19386"},"observation_digest":"sha256:73d9a2a8650a84a142cd43df01b4a2c38b01342c58f5c23ac811103230e62a02","observation_id":"d65b4d39-8220-42b8-996f-6837ffc74dfa","resolution":{"observed_at":"2026-05-20T06:18:05.624958Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2605.21489","last_updated":"2026-05-21T21:50:17Z","snapshot_observed_at":"2026-08-02T14:20:11.088817Z","submitted_at":"2026-05-20T17:59:52Z","title":"Variance Reduction for Expectations with Diffusion Teachers","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-21T04:51:57.800006Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2605.21489"},"observation_digest":"sha256:5eda5636da7d487a12b768068f065e570e0e187fc8e39bd6ddca817b5af08f36","observation_id":"d7c639b2-88f9-4367-bbbb-f59b72af0a72","resolution":{"observed_at":"2026-05-21T04:53:57.908760Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2605.21489","last_updated":"2026-05-21T21:50:17Z","snapshot_observed_at":"2026-08-02T14:20:11.088817Z","submitted_at":"2026-05-20T17:59:52Z","title":"Variance Reduction for Expectations with Diffusion Teachers","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-25T05:41:10.076206Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2605.21489"},"observation_digest":"sha256:c6ad77dd44422e1a93d84926a7ddd0fd14e49bb053d673f7b44ff2afb55832dc","observation_id":"e9a61047-5a3f-4d4f-aa7a-0019d782a2ff","resolution":{"observed_at":"2026-05-25T05:46:39.775033Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2605.30239","last_updated":"2026-08-02T12:20:19Z","snapshot_observed_at":"2026-08-05T06:23:54.949170Z","submitted_at":"2026-05-28T17:07:51Z","title":"CA-World: Multi-Object Counterfactual Alignment for Efficient Interactive-Ready Reconstruction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-29T07:42:13.082630Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2605.30239"},"observation_digest":"sha256:cdc7662d70654047993e89f8944d8a745db7a07ccf1f119b54a461c0ab19981e","observation_id":"4e323edc-13de-4454-81ca-e78b04e3325f","resolution":{"observed_at":"2026-06-29T07:43:13.323127Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-08-04T04:59:18.542899Z","title":"arXiv preprint arXiv:2406.04338 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.30239","last_updated":"2026-08-02T12:20:19Z","snapshot_observed_at":"2026-08-05T06:23:54.949170Z","submitted_at":"2026-05-28T17:07:51Z","title":"CA-World: Multi-Object Counterfactual Alignment for Efficient Interactive-Ready Reconstruction","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T04:59:18.542899Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2605.30239"},"observation_digest":"sha256:bf85ffb1868b8ed3b753151f3de79f862b6d76703ed340e0bf49c45db18335a3","observation_id":"a414eee4-52b7-484e-a5ca-3e904e823b98","resolution":{"observed_at":"2026-08-04T04:59:18.542899Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2606.07508","last_updated":"2026-06-05T17:57:32Z","snapshot_observed_at":"2026-08-03T10:42:24.485829Z","submitted_at":"2026-06-05T17:57:32Z","title":"Streaming Video Generation with Streaming Force Control","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-27T22:14:32.465663Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2606.07508"},"observation_digest":"sha256:7db14017a311e8b315901e187f1a39e1663be87fb25bdf37da6afa71d8a69ea4","observation_id":"725cfeb4-ea56-498e-8957-205947dd0a4c","resolution":{"observed_at":"2026-07-02T17:07:12.325380Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2606.08688","last_updated":"2026-06-07T15:42:56Z","snapshot_observed_at":"2026-08-03T12:10:14.668956Z","submitted_at":"2026-06-07T15:42:56Z","title":"PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-27T18:24:06.159337Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2606.08688"},"observation_digest":"sha256:dbfb5837f18ede29e1543240cb61e839225ff171afde36a67b2eedae83ea214c","observation_id":"ec986947-e581-47f2-83a4-cea8f50fab82","resolution":{"observed_at":"2026-07-02T23:17:29.213200Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2606.09187","last_updated":"2026-06-08T08:23:12Z","snapshot_observed_at":"2026-08-02T09:38:07.984141Z","submitted_at":"2026-06-08T08:23:12Z","title":"CP4D: Compositional Physics-aware 4D Scene Generation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-06-27T16:52:36.288955Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2606.09187"},"observation_digest":"sha256:3e60f50984d94c06be3a163d9a91e9be8548bfe8709a9dc37064acd15179ce45","observation_id":"20f82198-a737-4c54-8505-bd3fc328f7d5","resolution":{"observed_at":"2026-07-03T00:57:30.556089Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2606.21753","last_updated":"2026-06-19T21:12:52Z","snapshot_observed_at":"2026-08-01T23:02:31.577351Z","submitted_at":"2026-06-19T21:12:52Z","title":"Scene-Level Heterogeneous Physics Simulation with 3D Gaussian Splats","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-26T12:24:31.803044Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2606.21753"},"observation_digest":"sha256:b6ad5ebe69bd72e434ed6bcdeb4bc58a0ee2567b3bfd598fdb4a03ef06d6bfc2","observation_id":"b1791674-d845-4671-9660-300ec856f4c6","resolution":{"observed_at":"2026-07-04T07:59:40.008739Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2606.26410","last_updated":"2026-06-24T22:06:35Z","snapshot_observed_at":"2026-07-07T00:00:46.505337Z","submitted_at":"2026-06-24T22:06:35Z","title":"Neural Voxel Dynamics: Learning Implicit 3D Physics via Volumetric Feature Advection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-26T01:17:06.587807Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2606.26410"},"observation_digest":"sha256:7d25f4fb99a67206d0a2715241cb4e017c971363a2972b1e503d2e25be96e01f","observation_id":"7a9a924c-e6f5-4971-a67e-4c86b2f84189","resolution":{"observed_at":"2026-07-04T15:49:57.997600Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2606.29303","last_updated":"2026-06-30T09:06:34Z","snapshot_observed_at":"2026-07-07T00:03:16.968118Z","submitted_at":"2026-06-28T09:50:46Z","title":"Occlusion-Robust Multi-Object Decoupling for Physics-Based Robotic Interaction","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-30T07:53:14.854330Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2606.29303"},"observation_digest":"sha256:6ae62b7785cc24d7320baf7b640b004a239004b0248f0ff078d0fc707c963c5e","observation_id":"80ec9e38-de6e-43cb-af72-cbbe978c570d","resolution":{"observed_at":"2026-06-30T07:54:21.770214Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2606.29303","last_updated":"2026-06-30T09:06:34Z","snapshot_observed_at":"2026-07-07T00:03:16.968118Z","submitted_at":"2026-06-28T09:50:46Z","title":"Occlusion-Robust Multi-Object Decoupling for Physics-Based Robotic Interaction","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-01T07:00:20.609727Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2606.29303"},"observation_digest":"sha256:401c97dbf8e70b556326629c299e6633654d78e9002607b8c62c511826290ea5","observation_id":"78ecc802-cd1d-4a44-9f0e-f81ab4f756c6","resolution":{"observed_at":"2026-07-01T07:05:29.183948Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":"2406.04338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-07-04T15:49:57.996142Z","title":"Physics3D: Learning physical properties of 3D gaussians via video diffusion","venue":null,"work_id":"0217218c-eea9-4fab-860d-26974d4ef468","year":2024},"citing_paper":{"arxiv_id":"2606.29379","last_updated":"2026-06-28T13:03:13Z","snapshot_observed_at":"2026-08-04T02:42:41.445301Z","submitted_at":"2026-06-28T13:03:13Z","title":"DR-GS: Physically-Based Deformable and Relightable 2D Gaussians","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-30T07:05:17.688286Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2606.29379"},"observation_digest":"sha256:b229f7cec5109f1c1687bbf170777f6019332d2ca4205a375a97a3bee92ce12d","observation_id":"a35aad96-8b29-41b6-b880-14525c09c70f","resolution":{"observed_at":"2026-06-30T07:14:21.681034Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-08-01T09:46:43.891115Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20653","last_updated":"2026-07-22T18:25:57Z","snapshot_observed_at":"2026-08-04T10:52:59.214081Z","submitted_at":"2026-07-22T18:25:57Z","title":"PhysCoRe: Physics-Corrected Residual World Models for Material-Aware Deformable Dynamics","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T09:46:43.891115Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2607.20653"},"observation_digest":"sha256:4fb45499a2f5eb5106317684add689e05926c377e271faf992bb5d8dbb7cdd86","observation_id":"961ffc98-a5e9-4e4d-9df6-3f884dc409a9","resolution":{"observed_at":"2026-08-01T09:46:43.891115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04338","snapshot_observed_at":"2026-08-04T15:15:44.115282Z","title":"Physics3d: Learning physical properties of 3d gaussians via video diffusion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02099","last_updated":"2026-08-03T11:59:51Z","snapshot_observed_at":"2026-08-05T06:35:22.155176Z","submitted_at":"2026-08-03T11:59:51Z","title":"DeGS: A Scalable 3DGS Architecture via Decoupled Workload Parsing and Reorganization","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T15:15:44.115282Z"},"links":{"cited_paper":"/paper/2406.04338","citing_paper":"/paper/2608.02099"},"observation_digest":"sha256:01c22b8e8bd5d95dda37f166ffe7832d53b8a56698379d813dba6a6b550b61a7","observation_id":"49b5513d-2364-468b-b3b1-6dadb45d40a3","resolution":{"observed_at":"2026-08-04T15:15:44.115282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.04338/citation-record","integrity":"/paper/2406.04338/integrity","json":"/paper/2406.04338/citation-record.json","paper":"/paper/2406.04338"},"outbound":[],"paper":{"arxiv_id":"2406.04338","last_updated":"2024-06-11T03:36:09Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T18:26:42.010940Z","submitted_at":"2024-06-06T17:59:47Z","title":"Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2406.04338."}