{"as_of":"2026-08-10T04:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cfce24fbca8540c7afc964a01bebe913c4f457e70f7f756948e0d661cff7cf0a","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T00:25:28.342295Z","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":"2026-05-20T14:38:21.700945Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.24211","last_updated":"2025-02-28T18:54:16Z","snapshot_observed_at":"2026-08-05T01:55:36.964036Z","submitted_at":"2024-10-31T17:59:01Z","title":"DELTA: Dense Efficient Long-range 3D Tracking for any video","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.24211","snapshot_observed_at":"2026-08-07T00:25:28.342295Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14198","last_updated":"2025-06-17T05:31:42Z","snapshot_observed_at":"2026-08-09T12:36:33.165813Z","submitted_at":"2025-06-17T05:31:42Z","title":"AMPLIFY: Actionless Motion Priors for Robot Learning from Videos","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T00:25:28.342295Z"},"links":{"cited_paper":"/paper/2410.24211","citing_paper":"/paper/2506.14198"},"observation_digest":"sha256:e22cb9849234d362386b76f17472da6be689f16ad54e9533a2c2ddf7ef5fdb40","observation_id":"3446c36d-6c31-4ab5-b5df-9fd4bd1bf586","resolution":{"observed_at":"2026-08-07T00:25:28.342295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.24211","last_updated":"2025-02-28T18:54:16Z","snapshot_observed_at":"2026-08-05T01:55:36.964036Z","submitted_at":"2024-10-31T17:59:01Z","title":"DELTA: Dense Efficient Long-range 3D Tracking for any video","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.24211","snapshot_observed_at":"2026-08-06T16:49:53.934235Z","title":"Delta: Dense efficient long-range 3d track- ing for any video","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12462","last_updated":"2025-07-19T02:07:12Z","snapshot_observed_at":"2026-08-08T08:02:10.460729Z","submitted_at":"2025-07-16T17:59:03Z","title":"SpatialTrackerV2: 3D Point Tracking Made Easy","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T16:49:53.934235Z"},"links":{"cited_paper":"/paper/2410.24211","citing_paper":"/paper/2507.12462"},"observation_digest":"sha256:04aab2a9d83680cbc2ac441b8329fa69b7c1f6ad0d038aded88eed12c9d2397a","observation_id":"baac1efc-fd17-4d9a-be28-31c0664fc70b","resolution":{"observed_at":"2026-08-06T16:49:53.934235Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.24211","last_updated":"2025-02-28T18:54:16Z","snapshot_observed_at":"2026-08-05T01:55:36.964036Z","submitted_at":"2024-10-31T17:59:01Z","title":"DELTA: Dense Efficient Long-range 3D Tracking for any video","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.24211","snapshot_observed_at":"2026-08-06T13:02:29.255074Z","title":"Delta: Dense efficient long-range 3d tracking for any video,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21045","last_updated":"2025-08-03T14:18:19Z","snapshot_observed_at":"2026-08-07T20:14:50.999165Z","submitted_at":"2025-07-28T17:59:02Z","title":"Reconstructing 4D Spatial Intelligence: A Survey","version":2},"reference_index":163,"source":"pdf_text","source_observed_at":"2026-08-06T13:02:29.255074Z"},"links":{"cited_paper":"/paper/2410.24211","citing_paper":"/paper/2507.21045"},"observation_digest":"sha256:6f82cebf568ef79f8a015ab51df0ea1596cb34add806195c244a060044ec285a","observation_id":"766c312a-fa0c-46ba-93ac-d1dc32af5acc","resolution":{"observed_at":"2026-08-06T13:02:29.255074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.24211","last_updated":"2025-02-28T18:54:16Z","snapshot_observed_at":"2026-08-05T01:55:36.964036Z","submitted_at":"2024-10-31T17:59:01Z","title":"DELTA: Dense Efficient Long-range 3D Tracking for any video","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.24211","snapshot_observed_at":"2026-08-05T13:52:52.705645Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00271","last_updated":"2026-06-17T20:45:44Z","snapshot_observed_at":"2026-08-08T09:36:37.528608Z","submitted_at":"2025-08-29T22:56:32Z","title":"Learn from What We HAVE: History-Aware VErifier that Reasons about Past Interactions Online","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T13:52:52.705645Z"},"links":{"cited_paper":"/paper/2410.24211","citing_paper":"/paper/2509.00271"},"observation_digest":"sha256:a298d9eccdb8ec18495bff760fa9ab3a8d4c309a600bed38a759e825e72df1c6","observation_id":"8d9de835-97a8-49f7-aba5-6baa3cc20cf2","resolution":{"observed_at":"2026-08-05T13:52:52.705645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.24211","last_updated":"2025-02-28T18:54:16Z","snapshot_observed_at":"2026-08-05T01:55:36.964036Z","submitted_at":"2024-10-31T17:59:01Z","title":"DELTA: Dense Efficient Long-range 3D Tracking for any video","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.24211","snapshot_observed_at":"2026-07-13T18:01:47.434552Z","title":"arXiv preprint arXiv:2410.24211 (2024) 3","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.25739","last_updated":"2026-07-07T18:00:02Z","snapshot_observed_at":"2026-07-13T18:01:46.253748Z","submitted_at":"2026-03-26T17:59:51Z","title":"MegaFlow: Zero-Shot Large Displacement Optical Flow","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-13T18:01:47.434552Z"},"links":{"cited_paper":"/paper/2410.24211","citing_paper":"/paper/2603.25739"},"observation_digest":"sha256:a10b31c1945942c3b36f26f96d12fb1f8b27245d56de804d83205c503b63036c","observation_id":"ef9c04e2-d9ba-40ba-9f5f-4fd7ec85e949","resolution":{"observed_at":"2026-07-13T18:01:47.434552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.24211","last_updated":"2025-02-28T18:54:16Z","snapshot_observed_at":"2026-08-05T01:55:36.964036Z","submitted_at":"2024-10-31T17:59:01Z","title":"DELTA: Dense Efficient Long-range 3D Tracking for any video","version":3},"cited_work":{"arxiv_id":"2410.24211","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.24211","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"D.; Zhuang, P.; Gan, C.; Kalogerakis, E.; Tulyakov, S.; Lee, H.-Y.; and Wang, C","venue":null,"work_id":"d7c6f2c9-f93e-46b5-ac15-a63279c010dc","year":2024},"citing_paper":{"arxiv_id":"2605.04527","last_updated":"2026-05-06T06:12:19Z","snapshot_observed_at":"2026-08-08T10:46:21.909855Z","submitted_at":"2026-05-06T06:12:19Z","title":"Velox: Learning Representations of 4D Geometry and Appearance","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-08T17:19:58.259824Z"},"links":{"cited_paper":"/paper/2410.24211","citing_paper":"/paper/2605.04527"},"observation_digest":"sha256:6810f821c02a3245a4bd487fbc34438ae12037dea6b9453d9f9c8d31164fbc94","observation_id":"35903ef4-b279-4a73-8b0c-4ebbd64569cf","resolution":{"observed_at":"2026-05-11T17:41:07.661322Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.24211","last_updated":"2025-02-28T18:54:16Z","snapshot_observed_at":"2026-08-05T01:55:36.964036Z","submitted_at":"2024-10-31T17:59:01Z","title":"DELTA: Dense Efficient Long-range 3D Tracking for any video","version":3},"cited_work":{"arxiv_id":"2410.24211","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.24211","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"D.; Zhuang, P.; Gan, C.; Kalogerakis, E.; Tulyakov, S.; Lee, H.-Y.; and Wang, C","venue":null,"work_id":"d7c6f2c9-f93e-46b5-ac15-a63279c010dc","year":2024},"citing_paper":{"arxiv_id":"2605.12587","last_updated":"2026-05-12T17:59:27Z","snapshot_observed_at":"2026-07-06T23:24:13.851504Z","submitted_at":"2026-05-12T17:59:27Z","title":"TrackCraft3R: Repurposing Video Diffusion Transformers for Dense 3D Tracking","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-14T21:28:12.151547Z"},"links":{"cited_paper":"/paper/2410.24211","citing_paper":"/paper/2605.12587"},"observation_digest":"sha256:c5aad2c3bf12231d59e6236c6b40cfa560143e13a2a28bb830d2726c3613ff6e","observation_id":"c2a1e82a-56e3-4abe-aa7e-7d6444521498","resolution":{"observed_at":"2026-05-14T21:29:29.049705Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.24211","last_updated":"2025-02-28T18:54:16Z","snapshot_observed_at":"2026-08-05T01:55:36.964036Z","submitted_at":"2024-10-31T17:59:01Z","title":"DELTA: Dense Efficient Long-range 3D Tracking for any video","version":3},"cited_work":{"arxiv_id":"2410.24211","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.24211","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"D.; Zhuang, P.; Gan, C.; Kalogerakis, E.; Tulyakov, S.; Lee, H.-Y.; and Wang, C","venue":null,"work_id":"d7c6f2c9-f93e-46b5-ac15-a63279c010dc","year":2024},"citing_paper":{"arxiv_id":"2605.17303","last_updated":"2026-05-17T07:41:12Z","snapshot_observed_at":"2026-07-31T09:06:46.556391Z","submitted_at":"2026-05-17T07:41:12Z","title":"LongDPM: Overlap-Aware 4D Reconstruction from Long Monocular Videos","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-05-20T14:34:54.528395Z"},"links":{"cited_paper":"/paper/2410.24211","citing_paper":"/paper/2605.17303"},"observation_digest":"sha256:2f3f3cc24f8d271657a3f2c83a4bde6674d1f72c8a0f48a03fe14f2da8563e98","observation_id":"5c9441e6-64b3-44a4-bf1e-4762aed0c79e","resolution":{"observed_at":"2026-05-20T14:38:21.703088Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.24211/citation-record","integrity":"/paper/2410.24211/integrity","json":"/paper/2410.24211/citation-record.json","paper":"/paper/2410.24211"},"outbound":[],"paper":{"arxiv_id":"2410.24211","last_updated":"2025-02-28T18:54:16Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T01:55:36.964036Z","submitted_at":"2024-10-31T17:59:01Z","title":"DELTA: Dense Efficient Long-range 3D Tracking for any video"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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:2410.24211."}