{"as_of":"2026-08-10T12:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dffd48711645bc4b21e9f56bcc76b08c5039b44b83d14bec517d191aef686a23","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":"2026-08-10T06:31:04.303077+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":"2026-08-10T11:57:13.042111Z","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":"2026-07-04T07:59:40.207778Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.13763","last_updated":"2024-01-03T09:40:56Z","snapshot_observed_at":"2026-08-07T01:05:45.860959Z","submitted_at":"2023-12-21T11:41:02Z","title":"Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.13763","snapshot_observed_at":"2026-08-10T11:57:13.042111Z","title":"Align your gaussians: Text-to-4d with dynamic 3d gaussians and composed diffusion models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.16617","last_updated":"2025-01-28T01:31:15Z","snapshot_observed_at":"2026-08-10T11:49:47.132732Z","submitted_at":"2025-01-28T01:31:15Z","title":"Predicting 3D representations for Dynamic Scenes","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T11:57:13.042111Z"},"links":{"cited_paper":"/paper/2312.13763","citing_paper":"/paper/2501.16617"},"observation_digest":"sha256:d6faba1ce2a5fd8db0f758bc743c8cb196eccfb08d75cea2bed1e37eb080f1c1","observation_id":"6b616f71-b9bb-4ad1-afe3-56127b60b35d","resolution":{"observed_at":"2026-08-10T11:57:13.042111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.13763","last_updated":"2024-01-03T09:40:56Z","snapshot_observed_at":"2026-08-07T01:05:45.860959Z","submitted_at":"2023-12-21T11:41:02Z","title":"Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.13763","snapshot_observed_at":"2026-08-07T04:41:31.549043Z","title":"Align your gaussians: Text-to-4d with dynamic 3d gaussians and composed diffusion mod- els.arXiv preprint arXiv:2312.13763, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.09982","last_updated":"2025-06-11T17:55:16Z","snapshot_observed_at":"2026-08-09T15:42:00.293473Z","submitted_at":"2025-06-11T17:55:16Z","title":"AnimateAnyMesh: A Feed-Forward 4D Foundation Model for Text-Driven Universal Mesh Animation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T04:41:31.549043Z"},"links":{"cited_paper":"/paper/2312.13763","citing_paper":"/paper/2506.09982"},"observation_digest":"sha256:db655e464a6cce9227c549b20e4b49ae010a9a4c5959cb0921332d02457bf5c9","observation_id":"b10bcdee-1379-4f06-863d-dad3ced05337","resolution":{"observed_at":"2026-08-07T04:41:31.549043Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.13763","last_updated":"2024-01-03T09:40:56Z","snapshot_observed_at":"2026-08-07T01:05:45.860959Z","submitted_at":"2023-12-21T11:41:02Z","title":"Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.13763","snapshot_observed_at":"2026-08-07T00:48:19.157496Z","title":"Align your gaussians: Text-to-4d with dynamic 3d gaussians and composed diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.12716","last_updated":"2025-06-15T04:40:20Z","snapshot_observed_at":"2026-08-09T04:17:23.716213Z","submitted_at":"2025-06-15T04:40:20Z","title":"Generative 4D Scene Gaussian Splatting with Object View-Synthesis Priors","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:19.157496Z"},"links":{"cited_paper":"/paper/2312.13763","citing_paper":"/paper/2506.12716"},"observation_digest":"sha256:4ea2b642168116106f972a789fe83c3281cfe33350142d5c5cd98ce996ac7f44","observation_id":"352b12f8-289f-4b5e-b762-ba4a26f36a6e","resolution":{"observed_at":"2026-08-07T00:48:19.157496Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.13763","last_updated":"2024-01-03T09:40:56Z","snapshot_observed_at":"2026-08-07T01:05:45.860959Z","submitted_at":"2023-12-21T11:41:02Z","title":"Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models","version":2},"cited_work":{"arxiv_id":"2312.13763","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.13763","snapshot_observed_at":"2026-07-04T07:59:40.207778Z","title":"arXiv preprint arXiv:2312.13763 , year=","venue":null,"work_id":"614154b6-0fbf-4e6a-8302-a6caa79261d2","year":2023},"citing_paper":{"arxiv_id":"2604.26917","last_updated":"2026-04-29T17:27:40Z","snapshot_observed_at":"2026-07-06T23:12:29.385105Z","submitted_at":"2026-04-29T17:27:40Z","title":"AnimateAnyMesh++: A Flexible 4D Foundation Model for High-Fidelity Text-Driven Mesh Animation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-07T10:50:24.047575Z"},"links":{"cited_paper":"/paper/2312.13763","citing_paper":"/paper/2604.26917"},"observation_digest":"sha256:6cd72352dbbe26230681da1aabc4045fb0061f80d9bc5b4c732842f747e14734","observation_id":"6c0a3995-9ab4-4d6b-b296-113b17e9aae4","resolution":{"observed_at":"2026-05-12T09:26:26.435740Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.13763","last_updated":"2024-01-03T09:40:56Z","snapshot_observed_at":"2026-08-07T01:05:45.860959Z","submitted_at":"2023-12-21T11:41:02Z","title":"Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models","version":2},"cited_work":{"arxiv_id":"2312.13763","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.13763","snapshot_observed_at":"2026-07-04T07:59:40.207778Z","title":"arXiv preprint arXiv:2312.13763 , year=","venue":null,"work_id":"614154b6-0fbf-4e6a-8302-a6caa79261d2","year":2023},"citing_paper":{"arxiv_id":"2605.13838","last_updated":"2026-06-27T12:19:23Z","snapshot_observed_at":"2026-08-01T20:39:26.680238Z","submitted_at":"2026-05-13T17:58:13Z","title":"R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow","version":1},"reference_index":115,"source":"arxiv_source","source_observed_at":"2026-05-14T19:07:53.671769Z"},"links":{"cited_paper":"/paper/2312.13763","citing_paper":"/paper/2605.13838"},"observation_digest":"sha256:2feb91566b35ea907f18388266bacde4c8d2bef88dbf04483241312f5db91ba4","observation_id":"176e652a-bfa3-4f18-b5be-18d211162829","resolution":{"observed_at":"2026-05-14T19:09:23.540683Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.13763","last_updated":"2024-01-03T09:40:56Z","snapshot_observed_at":"2026-08-07T01:05:45.860959Z","submitted_at":"2023-12-21T11:41:02Z","title":"Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models","version":2},"cited_work":{"arxiv_id":"2312.13763","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.13763","snapshot_observed_at":"2026-07-04T07:59:40.207778Z","title":"arXiv preprint arXiv:2312.13763 , year=","venue":null,"work_id":"614154b6-0fbf-4e6a-8302-a6caa79261d2","year":2023},"citing_paper":{"arxiv_id":"2605.13838","last_updated":"2026-06-27T12:19:23Z","snapshot_observed_at":"2026-08-01T20:39:26.680238Z","submitted_at":"2026-05-13T17:58:13Z","title":"R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow","version":2},"reference_index":115,"source":"arxiv_source","source_observed_at":"2026-05-15T06:08:52.321351Z"},"links":{"cited_paper":"/paper/2312.13763","citing_paper":"/paper/2605.13838"},"observation_digest":"sha256:1c1ede716bb45829b41d6826dfaece718b6a1632f77caf4e860a7454494a1666","observation_id":"3ff92ee1-a0fb-4300-87f2-977215021932","resolution":{"observed_at":"2026-05-15T06:09:49.713289Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.13763","last_updated":"2024-01-03T09:40:56Z","snapshot_observed_at":"2026-08-07T01:05:45.860959Z","submitted_at":"2023-12-21T11:41:02Z","title":"Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models","version":2},"cited_work":{"arxiv_id":"2312.13763","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.13763","snapshot_observed_at":"2026-07-04T07:59:40.207778Z","title":"arXiv preprint arXiv:2312.13763 , year=","venue":null,"work_id":"614154b6-0fbf-4e6a-8302-a6caa79261d2","year":2023},"citing_paper":{"arxiv_id":"2606.22131","last_updated":"2026-06-20T16:18:13Z","snapshot_observed_at":"2026-08-06T09:05:20.046435Z","submitted_at":"2026-06-20T16:18:13Z","title":"Feed-forward Motion In-betweening for Any 4D","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-26T12:21:01.979010Z"},"links":{"cited_paper":"/paper/2312.13763","citing_paper":"/paper/2606.22131"},"observation_digest":"sha256:a1395a876a550f9ebac5ed3ccb28aaf59dc97d8317d32c969ffec0dff7c9ff99","observation_id":"13fe42dd-7f5b-411f-a555-3feaca5e33e5","resolution":{"observed_at":"2026-07-04T07:59:40.209037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.13763","last_updated":"2024-01-03T09:40:56Z","snapshot_observed_at":"2026-08-07T01:05:45.860959Z","submitted_at":"2023-12-21T11:41:02Z","title":"Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.13763","snapshot_observed_at":"2026-08-02T06:23:35.136783Z","title":"Align Your Gaussians: Text-to-","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.12752","last_updated":"2026-07-15T04:28:35Z","snapshot_observed_at":"2026-08-07T19:36:05.834855Z","submitted_at":"2026-07-14T13:19:06Z","title":"Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation","version":2},"reference_index":103,"source":"arxiv_source","source_observed_at":"2026-08-02T06:23:35.136783Z"},"links":{"cited_paper":"/paper/2312.13763","citing_paper":"/paper/2607.12752"},"observation_digest":"sha256:707339d4d85d19cfb6dd5a99ceac8ef48ce11ed2da16ac8d92b0f529dec07b2f","observation_id":"4c90df51-3f00-46c2-9c31-755febf02e9c","resolution":{"observed_at":"2026-08-02T06:23:35.136783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2312.13763/citation-record","integrity":"/paper/2312.13763/integrity","json":"/paper/2312.13763/citation-record.json","paper":"/paper/2312.13763"},"outbound":[],"paper":{"arxiv_id":"2312.13763","last_updated":"2024-01-03T09:40:56Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T01:05:45.860959Z","submitted_at":"2023-12-21T11:41:02Z","title":"Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2312.13763."}