{"as_of":"2026-08-04T07:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:291d6196bb9996383e96c49959f9a08ddad76ffdb84cc9695360ad56f66b1862","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T08:20:39.824430Z","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":"2026-07-03T00:57:30.546915Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.18982","last_updated":"2025-01-31T09:28:07Z","snapshot_observed_at":"2026-07-06T20:28:52.880548Z","submitted_at":"2025-01-31T09:28:07Z","title":"OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation","version":1},"cited_work":{"arxiv_id":"2501.18982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.18982","snapshot_observed_at":"2026-07-03T00:57:30.546915Z","title":"Omniphysgs: 3d con- stitutive gaussians for general physics-based dynamics generation.arXiv preprint arXiv:2501.18982","venue":null,"work_id":"97b2be7b-cd3e-4bde-8626-e42d3ede91d5","year":2025},"citing_paper":{"arxiv_id":"2511.00503","last_updated":"2026-04-07T13:15:23Z","snapshot_observed_at":"2026-07-06T22:34:38.619949Z","submitted_at":"2025-11-01T11:16:25Z","title":"Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-05-18T01:59:23.928725Z"},"links":{"cited_paper":"/paper/2501.18982","citing_paper":"/paper/2511.00503"},"observation_digest":"sha256:2b8a8ccd4e56cd46a594de9918ae8fc5031006d97f862428e3a47425efc5eba5","observation_id":"9167727f-9830-4e28-adf4-b7652548747d","resolution":{"observed_at":"2026-05-18T02:00:39.559600Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18982","last_updated":"2025-01-31T09:28:07Z","snapshot_observed_at":"2026-07-06T20:28:52.880548Z","submitted_at":"2025-01-31T09:28:07Z","title":"OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation","version":1},"cited_work":{"arxiv_id":"2501.18982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.18982","snapshot_observed_at":"2026-07-03T00:57:30.546915Z","title":"Omniphysgs: 3d con- stitutive gaussians for general physics-based dynamics generation.arXiv preprint arXiv:2501.18982","venue":null,"work_id":"97b2be7b-cd3e-4bde-8626-e42d3ede91d5","year":2025},"citing_paper":{"arxiv_id":"2511.16988","last_updated":"2026-04-20T18:47:57Z","snapshot_observed_at":"2026-08-02T07:53:36.532478Z","submitted_at":"2025-11-21T06:51:39Z","title":"PhysMorph-GS: Render-Guided Volumetric Morphing with Differentiable Physics","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-17T20:58:05.450903Z"},"links":{"cited_paper":"/paper/2501.18982","citing_paper":"/paper/2511.16988"},"observation_digest":"sha256:e78bd39e7846db7bd5547925a502900b26600a3f132595a20076bb05da44c122","observation_id":"943a3364-3908-421a-bbf1-1034a25faa4e","resolution":{"observed_at":"2026-05-17T21:00:15.770297Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18982","last_updated":"2025-01-31T09:28:07Z","snapshot_observed_at":"2026-07-06T20:28:52.880548Z","submitted_at":"2025-01-31T09:28:07Z","title":"OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation","version":1},"cited_work":{"arxiv_id":"2501.18982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.18982","snapshot_observed_at":"2026-07-03T00:57:30.546915Z","title":"Omniphysgs: 3d con- stitutive gaussians for general physics-based dynamics generation.arXiv preprint arXiv:2501.18982","venue":null,"work_id":"97b2be7b-cd3e-4bde-8626-e42d3ede91d5","year":2025},"citing_paper":{"arxiv_id":"2604.07882","last_updated":"2026-04-09T06:51:14Z","snapshot_observed_at":"2026-07-06T22:57:05.146373Z","submitted_at":"2026-04-09T06:51:14Z","title":"ReconPhys: Reconstruct Appearance and Physical Attributes from Single Video","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T16:57:29.556084Z"},"links":{"cited_paper":"/paper/2501.18982","citing_paper":"/paper/2604.07882"},"observation_digest":"sha256:e1225d824f19e8a43e42baf5820be6aa0aaf0c0df425e4abd586696dc0a09878","observation_id":"1c010266-33db-40ee-b270-68f58911bf2d","resolution":{"observed_at":"2026-05-11T07:50:57.810804Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18982","last_updated":"2025-01-31T09:28:07Z","snapshot_observed_at":"2026-07-06T20:28:52.880548Z","submitted_at":"2025-01-31T09:28:07Z","title":"OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation","version":1},"cited_work":{"arxiv_id":"2501.18982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.18982","snapshot_observed_at":"2026-07-03T00:57:30.546915Z","title":"Omniphysgs: 3d con- stitutive gaussians for general physics-based dynamics generation.arXiv preprint arXiv:2501.18982","venue":null,"work_id":"97b2be7b-cd3e-4bde-8626-e42d3ede91d5","year":2025},"citing_paper":{"arxiv_id":"2605.22597","last_updated":"2026-05-21T15:13:49Z","snapshot_observed_at":"2026-07-06T23:32:54.127514Z","submitted_at":"2026-05-21T15:13:49Z","title":"MoSA: Motion-constrained Stress Adaptation for Mitigating Real-to-Sim Gap in Continuum Dynamics via Learning Residual Anisotropy","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-22T06:57:30.028829Z"},"links":{"cited_paper":"/paper/2501.18982","citing_paper":"/paper/2605.22597"},"observation_digest":"sha256:8d10e807d7c6da91a5d5d11488901f28209207d58f69ebd5dc6e5fcaf2c08aee","observation_id":"5622ca0e-97cf-4b47-9844-df33db533cff","resolution":{"observed_at":"2026-05-22T07:01:11.902378Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18982","last_updated":"2025-01-31T09:28:07Z","snapshot_observed_at":"2026-07-06T20:28:52.880548Z","submitted_at":"2025-01-31T09:28:07Z","title":"OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation","version":1},"cited_work":{"arxiv_id":"2501.18982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.18982","snapshot_observed_at":"2026-07-03T00:57:30.546915Z","title":"Omniphysgs: 3d con- stitutive gaussians for general physics-based dynamics generation.arXiv preprint arXiv:2501.18982","venue":null,"work_id":"97b2be7b-cd3e-4bde-8626-e42d3ede91d5","year":2025},"citing_paper":{"arxiv_id":"2605.30347","last_updated":"2026-05-28T17:59:53Z","snapshot_observed_at":"2026-08-02T08:00:36.870267Z","submitted_at":"2026-05-28T17:59:53Z","title":"NeuROK: Generative 4D Neural Object Kinematics","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-06-29T08:20:39.824430Z"},"links":{"cited_paper":"/paper/2501.18982","citing_paper":"/paper/2605.30347"},"observation_digest":"sha256:0002853249586e4f4452b19215382717dc30178085bdde92b667d8d9f34be30d","observation_id":"7f0dfdbf-85ac-4883-bba8-06051de53b56","resolution":{"observed_at":"2026-06-29T08:23:15.033123Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18982","last_updated":"2025-01-31T09:28:07Z","snapshot_observed_at":"2026-07-06T20:28:52.880548Z","submitted_at":"2025-01-31T09:28:07Z","title":"OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation","version":1},"cited_work":{"arxiv_id":"2501.18982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.18982","snapshot_observed_at":"2026-07-03T00:57:30.546915Z","title":"Omniphysgs: 3d con- stitutive gaussians for general physics-based dynamics generation.arXiv preprint arXiv:2501.18982","venue":null,"work_id":"97b2be7b-cd3e-4bde-8626-e42d3ede91d5","year":2025},"citing_paper":{"arxiv_id":"2606.04737","last_updated":"2026-06-03T11:20:00Z","snapshot_observed_at":"2026-07-06T23:44:47.848374Z","submitted_at":"2026-06-03T11:20:00Z","title":"Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-28T07:02:37.291472Z"},"links":{"cited_paper":"/paper/2501.18982","citing_paper":"/paper/2606.04737"},"observation_digest":"sha256:aece93468898920d754abf03bc4f055af8bf2aa13c17971f359689a63ae8bb24","observation_id":"af5f1c60-f345-4124-be75-6c91efb64aea","resolution":{"observed_at":"2026-07-02T07:16:44.732459Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18982","last_updated":"2025-01-31T09:28:07Z","snapshot_observed_at":"2026-07-06T20:28:52.880548Z","submitted_at":"2025-01-31T09:28:07Z","title":"OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation","version":1},"cited_work":{"arxiv_id":"2501.18982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.18982","snapshot_observed_at":"2026-07-03T00:57:30.546915Z","title":"Omniphysgs: 3d con- stitutive gaussians for general physics-based dynamics generation.arXiv preprint arXiv:2501.18982","venue":null,"work_id":"97b2be7b-cd3e-4bde-8626-e42d3ede91d5","year":2025},"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":4,"source":"pdf_text","source_observed_at":"2026-06-27T18:24:06.159337Z"},"links":{"cited_paper":"/paper/2501.18982","citing_paper":"/paper/2606.08688"},"observation_digest":"sha256:a4af595afae83ab5910d58b88dc79e1815a4d18c0e23c9cc5f214bf1a6eb682f","observation_id":"ae6eff3b-2331-4511-871b-7d550d03f381","resolution":{"observed_at":"2026-07-02T23:17:29.193186Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18982","last_updated":"2025-01-31T09:28:07Z","snapshot_observed_at":"2026-07-06T20:28:52.880548Z","submitted_at":"2025-01-31T09:28:07Z","title":"OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation","version":1},"cited_work":{"arxiv_id":"2501.18982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.18982","snapshot_observed_at":"2026-07-03T00:57:30.546915Z","title":"Omniphysgs: 3d con- stitutive gaussians for general physics-based dynamics generation.arXiv preprint arXiv:2501.18982","venue":null,"work_id":"97b2be7b-cd3e-4bde-8626-e42d3ede91d5","year":2025},"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":7,"source":"arxiv_source","source_observed_at":"2026-06-27T16:52:36.288955Z"},"links":{"cited_paper":"/paper/2501.18982","citing_paper":"/paper/2606.09187"},"observation_digest":"sha256:17fdb556ba28c3a29b23c4dcca3257feaa5f7f5be1816b7189eac9b52bcbb7ea","observation_id":"6598fd64-8b0f-4785-b887-defb110a2ec5","resolution":{"observed_at":"2026-07-03T00:57:30.548435Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.18982/citation-record","integrity":"/paper/2501.18982/integrity","json":"/paper/2501.18982/citation-record.json","paper":"/paper/2501.18982"},"outbound":[],"paper":{"arxiv_id":"2501.18982","last_updated":"2025-01-31T09:28:07Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T20:28:52.880548Z","submitted_at":"2025-01-31T09:28:07Z","title":"OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2501.18982."}