{"as_of":"2026-08-15T12:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ca50dc36190aebe768a55a421e099fa7ece94bc38aef18b57d104d0b0bf3eaaa","coverage":[{"denominator":64,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":64,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T16:41:09.081269Z","state":"measured"},{"denominator":65,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":65,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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":"2026-05-16T16:41:08.620285Z","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":"2026-05-16T16:41:08.786549Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"cited_work":{"arxiv_id":"2411.13291","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.13291","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"bdaab051-e557-40aa-b6d1-6dab0dc3e38a","year":null},"citing_paper":{"arxiv_id":"2508.10934","last_updated":"2025-08-12T18:39:13Z","snapshot_observed_at":"2026-08-14T06:25:22.731553Z","submitted_at":"2025-08-12T18:39:13Z","title":"ViPE: Video Pose Engine for 3D Geometric Perception","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-05-16T16:41:08.620285Z"},"links":{"cited_paper":"/paper/2411.13291","citing_paper":"/paper/2508.10934"},"observation_digest":"sha256:881fb078161ef4b0b8c0d03a4a3f83a290caa544de8161bd12e7c02fb2fc0250","observation_id":"6501187c-d849-4565-b3ea-dc082d48644f","resolution":{"observed_at":"2026-05-16T16:41:08.788852Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.13291/citation-record","integrity":"/paper/2411.13291/integrity","json":"/paper/2411.13291/citation-record.json","paper":"/paper/2411.13291"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.666053Z","title":"M., Civera, J., and Neira, J","venue":null,"work_id":"49417c1f-6ca6-48f9-bd17-23daa5f0f883","year":2018},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.805458Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:66effc793e23b191dc8c8958d4dce245dccaa914b5ae78d63061232e6d5db0e1","observation_id":"b4cae6ee-a07f-463e-8672-5e5448136de9","resolution":{"observed_at":"2026-08-12T16:41:09.668957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.14460","last_updated":"2023-07-26T19:01:49Z","snapshot_observed_at":"2026-08-13T10:47:18.882919Z","submitted_at":"2023-07-26T19:01:49Z","title":"MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.14460","snapshot_observed_at":"2026-08-12T16:41:08.811419Z","title":"Midas v3.1 -- a model zoo for robust monocular relative depth estimation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.811419Z"},"links":{"cited_paper":"/paper/2307.14460","citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:5a1021771015f3a4bd092fdcc33603c9b9e5a306cb5d0fc0e6189ea5ef33bf15","observation_id":"b4030948-56ca-4586-b337-dea69d75a5fb","resolution":{"observed_at":"2026-08-12T16:41:08.811419Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.657949Z","title":"and Malik, J","venue":null,"work_id":"aa45db43-870d-49a5-aa2b-351d76958269","year":2010},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.815531Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:a3c05b0f62e26686e8400c42fad1ae274a8fd76a088959d297d3284a91d8ee69","observation_id":"e2304fb1-fa85-40ca-b371-fd20ada995c8","resolution":{"observed_at":"2026-08-12T16:41:09.660734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.649236Z","title":"Variational motion segmentation with level sets","venue":null,"work_id":"f9138cdf-544b-40b6-8d72-627f4323e774","year":2006},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.819222Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:9966e9e8f0826b65d446b77343954818e488f2e5cab6e09ac02a37a5279a52b4","observation_id":"ff4c1519-8d9a-4679-9c52-3e32b4d64f9e","resolution":{"observed_at":"2026-08-12T16:41:09.652171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.640707Z","title":"J., Wulff, J., Stanley, G","venue":null,"work_id":"76a5b8f9-69b0-458a-b4bd-9c8972f6b00c","year":2012},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.822146Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:7cc386909f0bf1dd594cff017778f5a45aca935228a99d7b48509cb3b42185d8","observation_id":"becefae4-c40a-4334-8559-33d3b1276588","resolution":{"observed_at":"2026-08-12T16:41:09.643949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.632914Z","title":"J., Wulff, J., Stanley, G","venue":null,"work_id":"edbfe4f1-302e-485c-98a3-43680ee9e56b","year":2012},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.825370Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:0fb1389f5a1e908a869734c63468b041dbf56f4ea32d21acc51bbef8b60eefef","observation_id":"6494c1cb-3147-49ce-9495-1a3743d30505","resolution":{"observed_at":"2026-08-12T16:41:09.636223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.11898","last_updated":"2021-04-23T13:17:58Z","snapshot_observed_at":"2026-08-11T00:26:42.247102Z","submitted_at":"2020-07-23T10:09:54Z","title":"ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.11898","snapshot_observed_at":"2026-08-12T16:41:08.828715Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.828715Z"},"links":{"cited_paper":"/paper/2007.11898","citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:b579356726e6fdeaaea3291b115a3aaf3d03acc6f93a131db7b72c5ffe79040f","observation_id":"16b577be-a225-4c01-9712-13d81744728a","resolution":{"observed_at":"2026-08-12T16:41:08.828715Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.624544Z","title":"and Govindu, V","venue":null,"work_id":"d99110c5-80e4-4a56-b18b-b837646b9ae6","year":2013},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.831657Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:749bdea7e1d16c2db68e76cf83a0a0a6101f4b07e6452061a458060699b280bd","observation_id":"88cf6eb1-ffcd-4276-835e-add40c009f70","resolution":{"observed_at":"2026-08-12T16:41:09.627340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.616952Z","title":"and Tan, P","venue":null,"work_id":"53bd16ba-5047-414e-9625-237b22f7d473","year":2015},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.834949Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:ce2d4589cd9ae27411dbb60282fdcaac2dd42b6c4d862124982e56ffc8a08e43","observation_id":"e239f135-364e-4754-94ae-de8fa9c34a99","resolution":{"observed_at":"2026-08-12T16:41:09.619738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.609593Z","title":"X., Savva, M., Halber, M., Funkhouser, T., and Nie ner, M","venue":null,"work_id":"dc94f409-ecf6-40e3-8e23-19b14052830f","year":2017},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.928843Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:a009e282ffb9186f4419dba0f8b43bfbbbfb81fc646122ce093d5dc86c3bd3ab","observation_id":"e6b7bd26-1cee-4da6-a011-5712834bceb1","resolution":{"observed_at":"2026-08-12T16:41:09.612309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:08.932318Z","title":"Superpoint: Self-supervised interest point detection and description","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.932318Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:861f2d99409c9b078edac28a034b32db19569e71ee482aa7f93fff80d25fe9ca","observation_id":"257fdb41-a5f9-43a2-af67-5586bb0ea72a","resolution":{"observed_at":"2026-08-12T16:41:08.932318Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.598173Z","title":"Tapir: Tracking any point with per-frame initialization and temporal refinement","venue":null,"work_id":"1246861a-c46c-47b2-b44b-6097e4051d21","year":2023},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.935967Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:265a5d08c7f80ca0016d2f3de92209ff592390d0bde5ec44c4dd8a5801d8be84","observation_id":"8c6ed9c7-51ec-436b-bae8-84458e2ac0e3","resolution":{"observed_at":"2026-08-12T16:41:09.600769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.589231Z","title":"and Fergus, R","venue":null,"work_id":"9f2bca65-7c8b-43fa-9f3b-aa2c40a97af6","year":2015},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.939010Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:9a836ccdcc43162541408148d33e750e2171f38387ededbfc689788c352264e7","observation_id":"512c7f30-2e1b-4e6b-9c2b-a8b05b9a2490","resolution":{"observed_at":"2026-08-12T16:41:09.592492Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.582170Z","title":"Depth map prediction from a single image using a multi-scale deep network","venue":null,"work_id":"a2321f51-e359-4257-ba42-a036e9880bcc","year":2014},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.941560Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:0addba9f13d99b01332244d05f7551d1042fe4721ec76a6ba117243e2388380d","observation_id":"fca597d9-6de9-407b-a665-d0ad7016e216","resolution":{"observed_at":"2026-08-12T16:41:09.585032Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.574325Z","title":"Lsd-slam: Large-scale direct monocular slam","venue":null,"work_id":"093431ef-9964-49a7-9448-0f09eede77bd","year":2014},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.944391Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:5bf7bb73aae5ed7de26dc7c56d1e1deca08f1df0f9d9034a74b11c50d4196cda","observation_id":"b2aa5975-cd3f-49d2-adca-9769ce5252c0","resolution":{"observed_at":"2026-08-12T16:41:09.577298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.567122Z","title":"Direct sparse odometry","venue":null,"work_id":"6775684a-77b4-4fef-bb57-9afc07b56b9b","year":2017},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.947864Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:6ff43bb6e852e3f94011644f3e1782c81cb344c0405ee521394e52b2039d39f5","observation_id":"c3fbf824-790e-4cbf-96bb-525befdcf900","resolution":{"observed_at":"2026-08-12T16:41:09.569868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.559469Z","title":"Svo: Fast semi-direct monocular visual odometry","venue":null,"work_id":"fe130ad2-6281-4074-946f-235828c38312","year":2014},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.950474Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:27d0c3be169536c6ffd4bf626e04bdccd81a1257ed2b5f896f134b78f5613485","observation_id":"90e5b675-5f03-46ec-bf1d-f47830854e60","resolution":{"observed_at":"2026-08-12T16:41:09.562275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.552551Z","title":"Svo: Semidirect visual odometry for monocular and multicamera systems","venue":null,"work_id":"feb2bba3-693c-42bc-b67f-f67f39c2172f","year":2016},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.953066Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:d6667dc2ccdd18bd7122578f1c6a9f69884c1bcbda70af2d406fdf119caf3d5d","observation_id":"2f7d734e-1dce-43d4-8fbc-d7f220e02320","resolution":{"observed_at":"2026-08-12T16:41:09.555339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.544948Z","title":"evo: Python package for the evaluation of odometry and slam","venue":null,"work_id":"744db5d4-1571-44b0-ba63-bb24395ad108","year":2017},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.955267Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:d473acb23d48bc9157670b64037a8892734ffe32e1bd54c53856759903c568da","observation_id":"108bcc23-e852-4404-a280-751730cd322d","resolution":{"observed_at":"2026-08-12T16:41:09.547735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.537662Z","title":"W., Fang, Z., and Fragkiadaki, K","venue":null,"work_id":"7f945073-4b62-4384-a2cc-b3bda051c91a","year":2022},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.957736Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:840a0b294cb47a7305858b1380262d8fb8e4e2bcff478fa58acd33c98710531e","observation_id":"5d5fe250-0c90-42f5-9d5a-5ba9fb6925a2","resolution":{"observed_at":"2026-08-12T16:41:09.540456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.530078Z","title":"Mask r-cnn","venue":null,"work_id":"038b059b-f75f-4534-accc-5c1229f336d0","year":2017},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.960365Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:4f0a578794e29b6fd71286dd9256bd90fdb288ab4aef5fbd5cab66d4a4e92481","observation_id":"72df2be7-c5dd-498c-9dc7-0b8830391c72","resolution":{"observed_at":"2026-08-12T16:41:09.532917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.523115Z","title":"Flownet 2.0: Evolution of optical flow estimation with deep networks","venue":null,"work_id":"e9108f2c-ff30-45c8-a4f4-fbdcdd533da3","year":2017},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.962997Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:d4141c5a56ad4d2cdfc16d15dd05eb7b21637deb35f87d0554026bede560d5f3","observation_id":"6fe134ec-d0b9-4941-9549-25dd3e3f0a34","resolution":{"observed_at":"2026-08-12T16:41:09.525827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.515422Z","title":"T., Hassani, A., Orlov, N., and Shi, H","venue":null,"work_id":"77a93a6f-253f-4f7c-8e91-45203cbf4eaf","year":2023},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.965121Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:0c56bbd16dc55974ae8d022c37dd8690dbdcec00e3051e2a5232fabf6d9b77c7","observation_id":"93647934-a7b8-49f3-8fda-ee1725b2f9e5","resolution":{"observed_at":"2026-08-12T16:41:09.518381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.507555Z","title":"CoTracker : It is better to track together","venue":null,"work_id":"5f4151a4-1c57-4179-b94c-54bbc11993c9","year":2023},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.968217Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:4aef2d2577f274d3aafdcb244c83423dea8a443f256c4d416e6bbec7bb016d36","observation_id":"52298a83-9764-472d-a421-39947979d303","resolution":{"observed_at":"2026-08-12T16:41:09.510741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.500325Z","title":"Simvodis: Simultaneous visual odometry, object detection, and instance segmentation, 2019","venue":null,"work_id":"d6b38ff1-1723-4a65-8f0e-2b06f4b33dbc","year":2019},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.970904Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:7a6ac4aaffb150ed752ac398fe9b98d6131c835722128b621af0537601658fba","observation_id":"0a047647-8a79-4be8-8866-fa86ee95533a","resolution":{"observed_at":"2026-08-12T16:41:09.503161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:08.973871Z","title":"and Murray, D","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.973871Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:3a17497cc45f423819f658ccd136df89634b4052bc119acd629a71210b265356","observation_id":"10128746-2739-4261-943d-3697637c4aae","resolution":{"observed_at":"2026-08-12T16:41:08.973871Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.05901","last_updated":"2021-06-22T03:33:03Z","snapshot_observed_at":"2026-08-14T06:29:00.261998Z","submitted_at":"2020-12-10T18:59:48Z","title":"Robust Consistent Video Depth Estimation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.05901","snapshot_observed_at":"2026-08-12T16:41:08.976626Z","title":"Robust consistent video depth estimation","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.976626Z"},"links":{"cited_paper":"/paper/2012.05901","citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:a6e4267a2307b93b6b5bd44fba6d44b128974daec1e303b4e5f674a7ed68b3d3","observation_id":"b8261a01-d395-4f91-97b5-2ca0602d20c5","resolution":{"observed_at":"2026-08-12T16:41:08.976626Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.492858Z","title":"Robust consistent video depth estimation","venue":null,"work_id":"c8c703ad-e077-4168-a06f-f8467466ccf6","year":2021},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.980505Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:ac8784078efbfdc26ba2a7e4a734fafe90e9e3b54c460d71a2467d2e7f735fe2","observation_id":"888c5dc3-d8a9-45b3-868d-3ca6ecb02d2d","resolution":{"observed_at":"2026-08-12T16:41:09.495631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14520","last_updated":"2021-05-30T12:39:48Z","snapshot_observed_at":"2026-08-13T19:13:47.894750Z","submitted_at":"2021-05-30T12:39:48Z","title":"Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14520","snapshot_observed_at":"2026-08-12T16:41:08.983246Z","title":"Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.983246Z"},"links":{"cited_paper":"/paper/2105.14520","citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:f079e0cc6f00103d9f813d69f2ee08d5f570561d6591e2caea84af32bbab3557","observation_id":"5fdf0f87-c66e-4178-894d-bdf59ab13258","resolution":{"observed_at":"2026-08-12T16:41:08.983246Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.485927Z","title":"and Snavely, N","venue":null,"work_id":"286339fb-fcea-43be-8d9e-347ebd3cc60a","year":2018},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.986414Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:cecae799fda5a45b14b559a89cbdbc9dd436e70a46c27cfb21159e969775083d","observation_id":"b8cd303e-496f-44be-a335-051cb2014b80","resolution":{"observed_at":"2026-08-12T16:41:09.488523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.476894Z","title":"The emergence of objectness: Learning zero-shot segmentation from videos","venue":null,"work_id":"43b7a592-a1bc-4669-8a57-c1225272b7a0","year":2021},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.989289Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:469e85975ea974e0bfda65d9b927f4041e5daaf2fc0abe89c26fc1c1f458a3a5","observation_id":"d3394d51-0d91-4a12-9fa3-f43b072843ae","resolution":{"observed_at":"2026-08-12T16:41:09.479880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.468850Z","title":"Zero-shot video object segmentation with co-attention siamese networks","venue":null,"work_id":"8926bb81-91ed-444c-aa17-9176e8451b48","year":2020},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.992231Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:11b659b77f61df5a7ec2b291e7855374391bc51469df6453ffe274181d7ca43b","observation_id":"8d6cb68c-4bbf-477a-b401-90cfb8935c5e","resolution":{"observed_at":"2026-08-12T16:41:09.471779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.461037Z","title":"Consistent video depth estimation","venue":null,"work_id":"9b5ffbd9-68b9-4ee8-b8d1-b368091fee3f","year":2020},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.995903Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:193e45fef599862ba358635787f133f4e88d9e8e254448b0c60381e09aedb0cb","observation_id":"4c09fe83-3d35-4e5d-a930-8c381837a39f","resolution":{"observed_at":"2026-08-12T16:41:09.463874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.453537Z","title":"and Tard \\'o s, J","venue":null,"work_id":"fdb6256f-df35-4661-953a-b4dcc7b8aa70","year":2017},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:08.999045Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:176794b0e29100b08c70fe0cf738f24c8bcf37d7b74e23026c9a8725d2076a5e","observation_id":"81147e34-8df1-4700-ad06-b34d335b1d76","resolution":{"observed_at":"2026-08-12T16:41:09.456663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.445357Z","title":"A., Lovegrove, S","venue":null,"work_id":"60700a4a-1513-4220-b16f-5d3067cdb7b5","year":2011},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.001707Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:920450a0ddf12991918ca6e4d92e056a92eb5a12d252797e778976ca3dcc59f9","observation_id":"f6313155-b0bf-4e10-b262-ce78adad0ee2","resolution":{"observed_at":"2026-08-12T16:41:09.448602Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.438014Z","title":"and Singer, A","venue":null,"work_id":"589ddedc-c70a-4684-806f-3de1f4915f50","year":2015},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.004586Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:4dc6461a80298e95089a576d7458ec6b47baac65dad883aea4ed1706933413a9","observation_id":"e28619d3-131e-48a8-80d8-920edfef6c64","resolution":{"observed_at":"2026-08-12T16:41:09.440570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.429913Z","title":"A benchmark dataset and evaluation methodology for video object segmentation","venue":null,"work_id":"2e4866f5-f0e4-4570-8cd4-247dd1a8f8eb","year":2016},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.007412Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:0fb7e03d4ab6783f73f71f4c808cf0d3de0ae70733b76f66b4e8bb0f362cabec","observation_id":"f23274e5-f464-4c6d-9c8c-f7628c5e068a","resolution":{"observed_at":"2026-08-12T16:41:09.433016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.421694Z","title":"Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer","venue":null,"work_id":"4050caa8-725b-4a66-bed3-231cf3c1b1d7","year":2022},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.009830Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:13794e70a8094b5ddf568e1cff80b7a0f01a12abc549872ff9d8c0191d2099cf","observation_id":"d41a5144-5977-44d9-a40d-f1066a3af26e","resolution":{"observed_at":"2026-08-12T16:41:09.425003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.413870Z","title":"Superglue: Learning feature matching with graph neural networks","venue":null,"work_id":"b852281a-2b6a-436c-8b6b-964e66e7a093","year":2020},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.012914Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:6c8b22749b3155aa1c8e0a76e3511761d62a2c6399f51ac55f66938cda202c7c","observation_id":"c9151749-0860-42b8-8b3b-76da5a43eff9","resolution":{"observed_at":"2026-08-12T16:41:09.416815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.406524Z","title":null,"venue":null,"work_id":"b0798269-46b9-49fc-88f3-8116d28ee325","year":2016},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.016150Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:1a58c4211bd159bf81ea60320ec7194934bb6688ad580e14a1372faa7fa48aca","observation_id":"ee8ad4d4-789a-4a42-a247-c091519d1ea3","resolution":{"observed_at":"2026-08-12T16:41:09.409242Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.018893Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.018893Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:0554c8d0aa4a373a05534394629ed20530674cb70f2ca221115f526cc8af399b","observation_id":"f5c27a8e-b798-49ac-9236-e00b26364d47","resolution":{"observed_at":"2026-08-12T16:41:09.018893Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.395536Z","title":"and Malik, J","venue":null,"work_id":"9381e3f7-ffb0-4904-a424-24a6cf4d0484","year":1998},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.021419Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:8c867562f5128ef472bfb765f84d638ce0a263239d7de512acb34f955512f1bc","observation_id":"977a65c2-cb0d-46d5-b7a7-25073256d612","resolution":{"observed_at":"2026-08-12T16:41:09.398278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.388227Z","title":"A benchmark for the evaluation of rgb-d slam systems","venue":null,"work_id":"08513d90-c941-43ff-b599-517b7a0b28a1","year":2012},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.024278Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:e2dba683bb7b015534f2bc6d495bcb2b07b31c63c7d873f348bb9fe9491e4a75","observation_id":"409833cf-0e0a-4b5c-97de-ac60ec744042","resolution":{"observed_at":"2026-08-12T16:41:09.390786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.381321Z","title":"Theia: A fast and scalable structure-from-motion library","venue":null,"work_id":"62205744-75d4-4eb4-9760-22d01071e47d","year":2015},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.027762Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:b267813630946828ac7170c5b2cf11f1611d8c63a6e9c6040d4e5e0db69f2283","observation_id":"664ea035-dab6-47b3-9f1e-e5f67094d711","resolution":{"observed_at":"2026-08-12T16:41:09.384335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.030484Z","title":"Robust monocular slam in dynamic environments","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.030484Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:942b9585cdf4a9d3d176ec661c8b5cf1594ce54070e446ae8a3e60d8c2075d62","observation_id":"d51aeb44-b951-4606-850d-1ab88445d423","resolution":{"observed_at":"2026-08-12T16:41:09.030484Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.374232Z","title":"and Deng, J","venue":null,"work_id":"bc1fe9ca-821b-485d-ab33-5c45c049a127","year":2020},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.033264Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:12a7e23589bd9eb636c88d3fb9102d952ee2c20fe69fadea994ca55136bc7908","observation_id":"5cc691ac-fbe0-4945-92ae-799726dd5fff","resolution":{"observed_at":"2026-08-12T16:41:09.376673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.367660Z","title":"and Deng, J","venue":null,"work_id":"cb5ca686-471a-43fe-af66-83a1c6f6bc55","year":2020},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.035586Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:78b546597d5880f705954ce7bb4f4328df5e0615e94313f8f2747e5d6b340c28","observation_id":"0ffc0502-a886-48c9-8e41-1a22e8597be3","resolution":{"observed_at":"2026-08-12T16:41:09.370205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.361244Z","title":"and Deng, J","venue":null,"work_id":"817925d4-edb3-45f3-9ccc-11fdb9b4d265","year":2021},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.038229Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:c9a2233e8c0b1d61f6d72a77500f61401daf3398783295ddaaf87f47d0853eeb","observation_id":"fae72577-1cdb-47a8-9e8d-0bf4e50e842c","resolution":{"observed_at":"2026-08-12T16:41:09.363661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.354276Z","title":null,"venue":null,"work_id":"6c0d06dc-605a-4da0-8aed-ba4e9508af0e","year":1994},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.040763Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:1deba7e03265d7a3c8db97084dc39516c7ba30e6d98c86f4d986382e51a3dea5","observation_id":"1cd61223-a911-4e1c-af59-07e73052938f","resolution":{"observed_at":"2026-08-12T16:41:09.356787Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.347080Z","title":"Tracking everything everywhere all at once","venue":null,"work_id":"a58308b5-0e0c-4a6e-9c7f-478ff06af209","year":2023},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.043323Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:0c8937fe7dc0ab2a4d551034a201a3fe182c2b11179e13feef6e2b97620f6bb9","observation_id":"f349c46b-cd3c-4250-923b-5b9a68a7afec","resolution":{"observed_at":"2026-08-12T16:41:09.349563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.338575Z","title":"Deepvo: Towards end-to-end visual odometry with deep recurrent convolutional neural networks","venue":null,"work_id":"ecd2858b-9b7a-41d6-800f-10639ef6a898","year":2017},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.045723Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:44f850793fbb94100b610765c4e1e9ae22a6b7e2fb44a4054a05f8f57156ce29","observation_id":"ccabbe67-b90c-431a-8b03-4bfe7fbcfc93","resolution":{"observed_at":"2026-08-12T16:41:09.342007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.00359","last_updated":"2020-10-31T20:49:33Z","snapshot_observed_at":"2026-08-13T22:01:09.731814Z","submitted_at":"2020-10-31T20:49:33Z","title":"TartanVO: A Generalizable Learning-based VO","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.00359","snapshot_observed_at":"2026-08-12T16:41:09.048463Z","title":"Tartanvo: A generalizable learning-based vo","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.048463Z"},"links":{"cited_paper":"/paper/2011.00359","citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:97c54fd42fa8667bcbb989b0086f8657d6704da58327024e11ea99551be37460","observation_id":"0c73be4e-7082-428c-b427-8423a5dc7161","resolution":{"observed_at":"2026-08-12T16:41:09.048463Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.08695","last_updated":"2024-10-03T17:58:03Z","snapshot_observed_at":"2026-08-14T02:43:58.742642Z","submitted_at":"2023-07-17T17:57:01Z","title":"NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation","version":3},"cited_work":{"arxiv_id":"2307.08695","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.08695","snapshot_observed_at":"2026-08-12T16:41:09.113624Z","title":"NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation","venue":"cs.CV","work_id":"bf1e8ca0-85d0-48df-83e9-91977770449e","year":2023},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.051264Z"},"links":{"cited_paper":"/paper/2307.08695","citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:fd165e650c7bfa90df906cec0d291100be7462b8613c918a6d55c3b01c096d51","observation_id":"a626c712-3882-40c2-b0a5-c5a824ab8592","resolution":{"observed_at":"2026-08-12T16:41:09.116743Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.331514Z","title":"Dynamic-slam: Semantic monocular visual localization and mapping based on deep learning in dynamic environment","venue":null,"work_id":"8829cfdf-1ab8-4de0-aeca-17afa5408d1e","year":2019},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.054421Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:76b09d5f4c34f9e37eff649b25f3a2c4aa7c75a4a58337ea6dcb10d83d3ae617","observation_id":"d52f6815-62d0-4a09-a030-74586e227df0","resolution":{"observed_at":"2026-08-12T16:41:09.334359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.324522Z","title":"Gmflow: Learning optical flow via global matching","venue":null,"work_id":"a4d99691-89bd-4583-936c-1a408c1a0bd4","year":2022},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.057057Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:1a5f83a2bdae713f4ce51eac5f074a33f0a32ee319ae2ef810d7fc37b3169b55","observation_id":"c9511114-10ce-40a4-9987-dfd2726022f3","resolution":{"observed_at":"2026-08-12T16:41:09.327206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.316710Z","title":"Self-supervised video object segmentation by motion grouping","venue":null,"work_id":"5689fd67-07dc-4b0b-a5d8-ade6e9d0cfdd","year":2021},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.060742Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:0a6253491ef321d554bf23fbd2846142658fd2b0068cccdf24d8a171397d758b","observation_id":"201c4ffb-6dab-4301-8871-b281fc3f1351","resolution":{"observed_at":"2026-08-12T16:41:09.319781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.308531Z","title":"v., Wang, R., and Cremers, D","venue":null,"work_id":"1e84dcba-e3ac-4c9d-95b4-9d573c75f69e","year":2020},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.063606Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:62b93f40800580f0d31a59a8c8d8e15c16190b30d442deccd8c18774e8a3abd8","observation_id":"910322b7-180f-4198-a4dd-d9e883a25a6d","resolution":{"observed_at":"2026-08-12T16:41:09.311310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.300496Z","title":"Deflowslam: Self-supervised scene motion decomposition for dynamic dense slam","venue":null,"work_id":"c92bd447-2de9-493b-9b27-07cf4175cc01","year":2022},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.066230Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:4ae7cf200a12bfa1961eca20cd8d781ec9de842f148cc35c20cd7fe505e43bab","observation_id":"78c4cfa2-0c4c-4790-a15b-e2563635825e","resolution":{"observed_at":"2026-08-12T16:41:09.303679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.292739Z","title":"PVO: Panoptic Visual Odometry","venue":null,"work_id":"b8e1c782-2620-435a-902c-cae0ca90363d","year":2023},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.068657Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:1cd1a3c8ecb64978abb94e135167c7e9ffa70edae1425af7045d929b2f792717","observation_id":"16ded084-e9cf-419e-93cc-5d7db6d8c22d","resolution":{"observed_at":"2026-08-12T16:41:09.295423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/tpami.2009.52","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.101442Z","title":"Consistent depth maps recovery from a video sequence","venue":null,"work_id":"b138e892-85a7-421f-bc8d-abd7165565c7","year":2009},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.071513Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:9647de300f7f2c6522bec8684651b92671ff0c34eb0c6b149635780fa82838ed","observation_id":"46506555-bac0-4978-89c0-0f0514ac6dd1","resolution":{"observed_at":"2026-08-12T16:41:09.106296Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.284731Z","title":"Learning two-view correspondences and geometry using order-aware network","venue":null,"work_id":"61c23029-204d-4dde-9cd0-40ad4d64727f","year":2019},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.074186Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:877878e0127fbc895e4fe74bde8cadc268f2ed1d2d9c9f3fbe45344c1259de32","observation_id":"3e76723f-7d00-4ee7-abc3-c008f9eafbbf","resolution":{"observed_at":"2026-08-12T16:41:09.287744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.276320Z","title":"Particlesfm: Exploiting dense point trajectories for localizing moving cameras in the wild","venue":null,"work_id":"db57fd87-6c2a-4ed0-8c22-f9cc11d39da6","year":2022},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.076540Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:8d1e2d8ad04975230a9f7a91e59b030f6d34de90c8ea67d4d460c6980d6a028c","observation_id":"1c653f4d-2aa9-4ee2-999d-fe328efc6d74","resolution":{"observed_at":"2026-08-12T16:41:09.279612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.268039Z","title":"Motion-attentive transition for zero-shot video object segmentation","venue":null,"work_id":"22a58f9b-a12f-429d-93e8-0eb08ab6c658","year":2020},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.078790Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:ee6b4231a42138332562b7260d9908f163e75f50283f6b994ecaa040b37d0fb5","observation_id":"e70f5585-4e86-4a7c-9218-73ebb2532213","resolution":{"observed_at":"2026-08-12T16:41:09.271206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T16:41:09.081269Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-12T16:41:09.081269Z"},"links":{"citing_paper":"/paper/2411.13291"},"observation_digest":"sha256:3de7e42982c68c6ccd1267e83c110b26f9132e6c112584f3c81f221194cfbb12","observation_id":"1cc5ef48-976b-4abe-88a5-9e15fbc3db5b","resolution":{"observed_at":"2026-08-12T16:41:09.081269Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2411.13291","last_updated":"2024-11-20T13:01:16Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T16:33:42.225190Z","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild"},"reference_resolution":{"displayed":64,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":2,"verified_fuzzy":50},"total_outbound_references":64},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2411.13291."}