{"as_of":"2026-08-13T11:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1a5db7a8605700b51f6755b981709dc2f13cddca02568e9ca377f95f81acfce9","coverage":[{"denominator":76,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":76,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:38:20.487096Z","state":"measured"},{"denominator":80,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":80,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T00:20:07.915390Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T12:59:52.472080Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"cited_work":{"arxiv_id":"2506.04803","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.04803","snapshot_observed_at":"2026-07-04T12:59:52.472080Z","title":"Superansac: One ransac to rule them all","venue":null,"work_id":"01fe1560-12e5-47f0-945b-f56af082c448","year":2025},"citing_paper":{"arxiv_id":"2604.05621","last_updated":"2026-04-26T16:43:43Z","snapshot_observed_at":"2026-08-11T20:18:10.038214Z","submitted_at":"2026-04-07T09:22:12Z","title":"FunRec: Reconstructing Functional 3D Scenes from Egocentric Interaction Videos","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T18:44:25.862686Z"},"links":{"cited_paper":"/paper/2506.04803","citing_paper":"/paper/2604.05621"},"observation_digest":"sha256:cbe9a0881e44021c032390c116aca14200e335f543f7e9cfd8b32971b0abc796","observation_id":"c30f0afe-b59a-4458-a3af-838416d5795f","resolution":{"observed_at":"2026-05-11T00:00:55.536000Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"cited_work":{"arxiv_id":"2506.04803","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.04803","snapshot_observed_at":"2026-07-04T12:59:52.472080Z","title":"Superansac: One ransac to rule them all","venue":null,"work_id":"01fe1560-12e5-47f0-945b-f56af082c448","year":2025},"citing_paper":{"arxiv_id":"2606.26863","last_updated":"2026-06-25T10:47:53Z","snapshot_observed_at":"2026-08-02T03:01:59.438511Z","submitted_at":"2026-06-25T10:47:53Z","title":"Rolling Shutter Relative Pose Estimation Made Practical","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T05:40:03.411082Z"},"links":{"cited_paper":"/paper/2506.04803","citing_paper":"/paper/2606.26863"},"observation_digest":"sha256:dff840c495e896d6b3ed75f783e147fc01dc2858f068f029c55bc570593a6864","observation_id":"96ae95cd-15a4-4253-9532-3d8859d8240a","resolution":{"observed_at":"2026-07-04T12:59:52.473327Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.04803","snapshot_observed_at":"2026-07-11T22:38:10.372574Z","title":"arXiv preprint arXiv:2506.04803 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03972","last_updated":"2026-07-04T18:06:20Z","snapshot_observed_at":"2026-08-12T11:57:38.938684Z","submitted_at":"2026-07-04T18:06:20Z","title":"DS-SAC: Density Search for Sample Consensus","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-11T22:38:10.372574Z"},"links":{"cited_paper":"/paper/2506.04803","citing_paper":"/paper/2607.03972"},"observation_digest":"sha256:fcdc7de501f40d96320f5a22cba0ceda2fc710b2836af7c48380309b9cbada40","observation_id":"a6294122-fc7d-462d-99c0-d415ea5a911a","resolution":{"observed_at":"2026-07-11T22:38:10.372574Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.04803","snapshot_observed_at":"2026-08-02T00:20:07.915390Z","title":"Superansac: One ransac to rule them all,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15058","last_updated":"2026-07-16T14:32:34Z","snapshot_observed_at":"2026-08-05T11:33:59.836192Z","submitted_at":"2026-07-16T14:32:34Z","title":"SUFLECA: Scaling Up Feature Learning for CAD-to-image Alignment","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-02T00:20:07.915390Z"},"links":{"cited_paper":"/paper/2506.04803","citing_paper":"/paper/2607.15058"},"observation_digest":"sha256:a2377b2f4f3561dafb45e09e953b9e4c16e7f707e61a24660108655b6516cbca","observation_id":"5a9b2327-e95d-4a0e-8844-30029e9db511","resolution":{"observed_at":"2026-08-02T00:20:07.915390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.04803/citation-record","integrity":"/paper/2506.04803/integrity","json":"/paper/2506.04803/citation-record.json","paper":"/paper/2506.04803"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:21.487004Z","title":"From coarse to fine: Robust hierarchical localization at large scale,","venue":null,"work_id":"c22461f8-41db-4fd6-abb8-64b40e677821","year":2019},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:17.145682Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:a064783b4c09048567412030a6a59abf7ec1283c644fb530a9f6a0bada6dced3","observation_id":"382f5aac-a580-44cf-b069-771fde68fa0a","resolution":{"observed_at":"2026-08-07T10:38:21.504064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.440031Z","title":"Structure-from-motion revisited,","venue":null,"work_id":"6eb95521-3bfb-484e-98ab-14cef56d84fe","year":2016},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:17.203760Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:760465cec2e7e0afef93c5dd618ce3b7ed91ffb320535837d6dd612e6822e616","observation_id":"8e5d4507-5c10-4a76-b1c8-738cbf175143","resolution":{"observed_at":"2026-08-07T10:38:21.463520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.403981Z","title":"Global structure-from-motion revisited,","venue":null,"work_id":"013d16c0-e0d3-420d-9790-1feb40967f9f","year":2024},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:17.285193Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:80975e40f6cd21d4ebeb78bdb3f13fe9738a2c0e9f4db96c65db9b4f417eb791","observation_id":"f5514bdd-d77b-417f-9dec-11eb922cabbd","resolution":{"observed_at":"2026-08-07T10:38:21.416991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.386453Z","title":"ORB-SLAM: a versatile and accurate monocular SLAM system,","venue":null,"work_id":"e18445eb-5ccf-40db-9242-96babbf94124","year":2015},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:17.351994Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:32c625ca0709653449122b629acfdb1b7a502cf99c15314e70ba1f46b27ac787","observation_id":"ed11fa41-d1de-462a-84b7-0b05451eb39c","resolution":{"observed_at":"2026-08-07T10:38:21.392672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.376878Z","title":"RANSAC for robotic applications: A survey,","venue":null,"work_id":"3b8ec4d8-4045-438f-8dee-06b5e241a000","year":2022},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:17.440016Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:4f1c7e14d7ee9c9efe4b2f1654b16897d8a3f00f4bcb9a4a6658c7855c98bc9a","observation_id":"2b9ce32f-a2a5-4a2d-a6d3-ffe328fbeb7d","resolution":{"observed_at":"2026-08-07T10:38:21.380066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.367877Z","title":"Epos: Estimating 6d pose of objects with symmetries,","venue":null,"work_id":"de1cab92-7ba0-42a0-9337-bb8f90f1e511","year":2020},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:17.524466Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:f0d3d4c801328b03a09a34b132eb92e4a2aa22634db98d312200b64a70d623ee","observation_id":"82e6b0a5-86d4-46c0-9906-97b77c05a89a","resolution":{"observed_at":"2026-08-07T10:38:21.370955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.358096Z","title":"Foundpose: Unseen object pose estimation with foundation features,","venue":null,"work_id":"1efc6d80-8696-4968-bcf8-360074139a80","year":2025},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:17.616122Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:a4765da3dabff58c824a325e66bee6b70f11c2d297ab6be8954bbc137471b33f","observation_id":"45573bfc-600f-4ef1-835f-167b8d0b8f12","resolution":{"observed_at":"2026-08-07T10:38:21.361489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:17.655835Z","title":"Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,","venue":null,"work_id":null,"year":1981},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:17.655835Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:e8f74d958d8d384bd8554a890df3b276043bb285d8412b79e97ec655f595d4b0","observation_id":"7ad75931-2529-4272-b9a7-bcf8b6db9119","resolution":{"observed_at":"2026-08-07T10:38:17.655835Z","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":"2026-08-07T10:38:21.341499Z","title":"RANSAC in 2020 tutorial,","venue":null,"work_id":"f98b4ac8-9961-461d-8900-f7e73fe72f54","year":2020},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:17.757773Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:6d92684c2fadf9748c8d1e8d0a7b631904bb26fe73d63fb382c57ca4095bc742","observation_id":"e0b10b19-16f9-489f-aecc-ca2ff35925f5","resolution":{"observed_at":"2026-08-07T10:38:21.344510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.332004Z","title":"Matching with prosac-progressive sample consensus,","venue":null,"work_id":"fba4f569-40f8-4db5-8192-2054909441ca","year":2005},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:17.808951Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:6589502deb6f227f53a4f674dce76c58ba738048ae9c0bf9a92fb65224ba5d23","observation_id":"980e9670-adbb-4c1c-8b02-e6fdf8a0cc9a","resolution":{"observed_at":"2026-08-07T10:38:21.335489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.322195Z","title":"NAPSAC: High noise, high dimensional robust estimation-it’s in the bag,","venue":null,"work_id":"dedb48db-8aa5-4c90-9ef0-901606f49163","year":2002},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:17.884566Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:4c35682fe79ec3a43a0f1d347d6ccb6f353b6ea10e10b9d44056cd8dc9b28330","observation_id":"215c1071-b4ab-4622-a108-9dcfc79ef590","resolution":{"observed_at":"2026-08-07T10:38:21.325395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.312736Z","title":"NeFSAC: Neurally filtered minimal samples,","venue":null,"work_id":"de4b3fe2-df0f-4265-aa22-25d1b318199e","year":2022},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:17.952412Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:e597ba5131ff1748588535d88d2a1f30580b6fe06ba084437df3f7bd990f84c2","observation_id":"6384521f-b789-449b-a229-c70e35d0b40c","resolution":{"observed_at":"2026-08-07T10:38:21.315961Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.302594Z","title":"Neural-guided RANSAC: Learning where to sample model hypotheses,","venue":null,"work_id":"f9d64694-c851-453e-87c3-876a4e5065c3","year":2019},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.004458Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:fc70ab979da52a11ec017c626a326fe02c5316426c033060f4db53c832d3791a","observation_id":"bfa022dc-d03a-4343-9170-5e4bb4896168","resolution":{"observed_at":"2026-08-07T10:38:21.306006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.292813Z","title":"MLESAC: A new robust estimator with application to estimating image geometry,","venue":null,"work_id":"e7015c0c-f091-48c3-a90b-fe7c1dfd1ffa","year":2000},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.094744Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:d94556aab2ddf34a308d4a32932af2ce04d6d4f1a6c7c54363f9b853524e3453","observation_id":"94a011af-b69e-43b6-91ae-ca15c2489b7d","resolution":{"observed_at":"2026-08-07T10:38:21.296155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.282656Z","title":"Marginalizing sample consensus,","venue":null,"work_id":"e8b8fe8a-b7fe-4652-badd-b3f02c71f515","year":2021},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.186079Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:eb8fffd98f2312a9fcc535563dd75f7d4e7d002968336a3a0db84bdd384b0f88","observation_id":"62beb73c-4445-4073-be5a-99489f20f55b","resolution":{"observed_at":"2026-08-07T10:38:21.286044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.270126Z","title":"MAGSAC++, a fast, reliable and accurate robust estimator,","venue":null,"work_id":"7e1d6ad2-fb36-42c2-9256-854ebdc73d5d","year":2020},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.264579Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:ba32a0ce79df7c8955bae621f2138afaf020cff0875caca9ddf03a6cd6775164","observation_id":"e74d46ec-9891-4196-8d86-47219b166f98","resolution":{"observed_at":"2026-08-07T10:38:21.273808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.258562Z","title":"Learning to find good models in RANSAC,","venue":null,"work_id":"aa7935b2-9f90-4131-8039-d7214c0d9560","year":2022},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.343008Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:b7e6a753cff5fc9050db5fa78a656abb5cead889ef541fead81a88ec9d495d56","observation_id":"d84e27fb-9a11-4375-975e-21ba51ea4aab","resolution":{"observed_at":"2026-08-07T10:38:21.262141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.247488Z","title":"Locally optimized RANSAC,","venue":null,"work_id":"a2f3dacb-39fa-48f2-a525-0354b16310a9","year":2003},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.408302Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:56371d977b4cd58cbb7559f74c45364f82eba0132e37f9c440e2078ffd969344","observation_id":"1af86caa-0140-48bd-ac4c-3d287273f8b6","resolution":{"observed_at":"2026-08-07T10:38:21.251233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.237619Z","title":"Fixing the locally optimized RANSAC–full experimental evaluation,","venue":null,"work_id":"aa0da8c0-f900-4c99-81e9-ebdddb1778cf","year":2012},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.462838Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:bf2d493a39f0da0b018c5573963813fa62105b6fcf21d1757d7cc2377a1a63f8","observation_id":"865a10d8-e1eb-42de-803a-d1e9e51f7094","resolution":{"observed_at":"2026-08-07T10:38:21.240784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.226773Z","title":"Two-view geometry estimation unaffected by a dominant plane,","venue":null,"work_id":"22dc43c8-94e1-4f7e-b7e7-f29dc4f9356b","year":2005},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.516864Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:87c04fb0deffd40132e19885990cc69c03c205e746b53384ac169f9757c36fe4","observation_id":"be1d595a-bde8-4ada-9ad3-f9081e54c406","resolution":{"observed_at":"2026-08-07T10:38:21.230509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.215063Z","title":"DSAC - differentiable RANSAC for camera localiza- tion,","venue":null,"work_id":"611eead2-48f9-490b-8530-e34f62c0f354","year":2017},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.573719Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:2cfef9c281858f1f817aa910c440fe7a552fe32b6dc70aca1533f1ba00efbb4c","observation_id":"49d633be-2bf9-4f30-8a98-244de3f87798","resolution":{"observed_at":"2026-08-07T10:38:21.218656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.204430Z","title":"Generalized differentiable RANSAC,","venue":null,"work_id":"977879c3-7047-4ff6-85cd-ccb125048aee","year":2023},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.616646Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:8f65d435840c0f46df9149eaac45d1118b7c8382247ced9d0f080b58837523a8","observation_id":"7707bc5a-5880-4c85-9f41-f0a7b6758233","resolution":{"observed_at":"2026-08-07T10:38:21.207981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.194164Z","title":"USAC: A universal framework for random sample consensus,","venue":null,"work_id":"10fa922f-f8a3-44a3-9d76-7376ebbeba81","year":2022},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.672757Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:00f226ea1c86a737d395ba436db6d128d06e43c8877ba8a655db45785b1d1e7b","observation_id":"8417df47-fe73-45db-a0a6-22237daee360","resolution":{"observed_at":"2026-08-07T10:38:21.197601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.182323Z","title":"VSAC: Efficient and accurate estimator for h and f,","venue":null,"work_id":"6f664f05-3d09-460d-b939-0f8da7cc969a","year":2021},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.717538Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:8c8ce10a4819d8f5fcd42ac72dcee77d350f83a25ef571d4b985eb746cf3ede6","observation_id":"0c3f918c-759f-49b3-807e-079e41dde279","resolution":{"observed_at":"2026-08-07T10:38:21.186253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.171117Z","title":"PoseLib,","venue":null,"work_id":"ceec1d28-343f-48f7-862a-e14ee482c9ef","year":2000},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.769498Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:97c280973f8853e46c1b63fcf1a4e0c1182b7118da41e5d0effaefe6652a3296","observation_id":"38a31caa-fa86-4b48-b95a-bd22e23f01f0","resolution":{"observed_at":"2026-08-07T10:38:21.174544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:18.818743Z","title":"Bradski, A","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.818743Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:0e2f255d8b04d5eb335950af1bd6b5cc4635595a6e8a1e8364a33df7077e593e","observation_id":"229fe924-d164-4da6-99cc-2687cb115cfa","resolution":{"observed_at":"2026-08-07T10:38:18.818743Z","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":"2026-08-07T10:38:21.153470Z","title":"Graph-cut RANSAC,","venue":null,"work_id":"81d904cd-efc2-46b0-a410-4840b6a29a03","year":2018},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.870308Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:3f0dd11b67c6db2b40d258fb95823f09a2b252cd52b09ae138e06a6573a85589","observation_id":"f81fa7bc-39c2-49b3-9bc4-deb8b0c0d7cd","resolution":{"observed_at":"2026-08-07T10:38:21.156880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.142923Z","title":"Photo tourism: exploring photo collections in 3d,","venue":null,"work_id":"fa5ce041-ca3a-44fc-ab6d-de5cba192c35","year":2006},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.921205Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:2822bb89da70c7b03014c67e46dda15d815fc890322b1e97a70220dfa0a66fb2","observation_id":"a6e73dac-76bd-45f6-87e8-506f54d9de18","resolution":{"observed_at":"2026-08-07T10:38:21.146339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.131559Z","title":"3dmatch: Learning local geometric descriptors from RGB-D recon- structions,","venue":null,"work_id":"c8a7e7fb-e999-49b3-b41c-20f51aae8264","year":2017},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:18.961145Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:47531217e7515489a0fbaf221eabd188170fb05a13013327415be64056906438","observation_id":"2961f5bb-c075-4c29-afb2-589624481a8e","resolution":{"observed_at":"2026-08-07T10:38:21.135678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:19.035896Z","title":"Superpoint: Self- supervised interest point detection and description,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.035896Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:df773d037e7b8563a9459324e7bbb2b0f5d3b17ed14d190f09528d652079f432","observation_id":"864b6164-6e28-4181-b9b3-21d71708d89f","resolution":{"observed_at":"2026-08-07T10:38:19.035896Z","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":"2026-08-07T10:38:21.113165Z","title":"Lightglue: Local feature matching at light speed,","venue":null,"work_id":"5b1c9227-6902-4a1d-ac87-272238f56f64","year":2023},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.088152Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:82915005ef19b3a92cc439b881cd6929da590378fdde0b6a049a11ca6d204ff7","observation_id":"3b0f52d1-c4bb-4842-ae9c-55706f8c651c","resolution":{"observed_at":"2026-08-07T10:38:21.116746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.102196Z","title":"Roma: Robust dense feature matching,","venue":null,"work_id":"7fd79550-9156-4659-9ab7-b74f9e9a1761","year":2024},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.147403Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:ba0f699263bb923a5e17ef47ded913468d01df4161a77794da3e7cd273d9c172","observation_id":"1d8aa0f2-3911-4a0a-aa92-279d0c3c3bbf","resolution":{"observed_at":"2026-08-07T10:38:21.105700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02295","last_updated":"2019-06-05T20:28:18Z","snapshot_observed_at":"2026-07-06T07:58:18.558050Z","submitted_at":"2019-06-05T20:28:18Z","title":"Progressive NAPSAC: sampling from gradually growing neighborhoods","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02295","snapshot_observed_at":"2026-08-07T10:38:19.198886Z","title":"Progressive napsac: sampling from gradually growing neighborhoods,","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.198886Z"},"links":{"cited_paper":"/paper/1906.02295","citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:1bb60958c5cad4a9bd4cbefecf1425743eecae7a6b3a2dba0521f13f4c2f40f6","observation_id":"8e86acba-79a4-4145-8d95-a9afea4c7e1b","resolution":{"observed_at":"2026-08-07T10:38:19.198886Z","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":"2026-08-07T10:38:21.089877Z","title":"Finding geometric models by clustering in the consensus space,","venue":null,"work_id":"1079bb81-ac18-4f56-8ebf-78bd09530557","year":2023},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.248587Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:84a4316af599c5cd6a0abfc36888ba0f3279ecd5abe82078602208d55b100574","observation_id":"3874d640-c0e1-4f9f-8016-4bc586159155","resolution":{"observed_at":"2026-08-07T10:38:21.094009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.075539Z","title":"GroupSAC: Efficient consensus in the presence of groupings,","venue":null,"work_id":"5ec7481f-2512-4b81-834e-eb10d2b2326c","year":2009},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.298735Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:ffb766643e8604fc6e253c38455a0b90b896195babfc6cab0352330ad62179dc","observation_id":"7b3520f7-3c33-4918-9a0c-0839157c2e42","resolution":{"observed_at":"2026-08-07T10:38:21.081263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.063613Z","title":"Adaptive sample consensus for efficient random optimization,","venue":null,"work_id":"9f2485b0-04cf-4d9a-86b9-e475e576960d","year":2009},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.369223Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:41ee2ae7cbc69550f13729b499054486cb7b002f3f6d81c2dd6d26039dcbc17c","observation_id":"2b6f8088-1a0d-4c6a-8fa2-0b1d5e88f5ba","resolution":{"observed_at":"2026-08-07T10:38:21.067319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.053259Z","title":"Bansac: A dynamic bayesian network for adaptive sample consensus,","venue":null,"work_id":"ca6334fb-3671-48c9-afb9-700dd77238e8","year":2023},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.413056Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:f1215e321cf43dd6fd4082211cda3d150e9e46d4e253c5d15dbd8250f44486e1","observation_id":"db412af9-b775-4f9f-964d-2c75e71a3d68","resolution":{"observed_at":"2026-08-07T10:38:21.056777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.041322Z","title":"Adaptive reordering sampler with neurally guided magsac,","venue":null,"work_id":"0f176805-a8b2-4610-b857-8e76ee311908","year":2023},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.476515Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:54c30f065cdc994abff3eced2db4177aae70eec326c2524e27e6d3cf602628fc","observation_id":"f54ed48c-7fcf-47a8-a070-60c0c95d54a2","resolution":{"observed_at":"2026-08-07T10:38:21.045240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:21.029150Z","title":"Bayesian model estimation and selection for epipolar ge- ometry and generic manifold fitting,","venue":null,"work_id":"f77d2833-6ad8-47e7-ad73-7348d49b7d89","year":2002},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.531827Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:41e11e395b571f9ffc5e401ac0d64cc9cd06ae4ae50ed52d43d909c56a4bb878","observation_id":"2f702111-3e09-4597-9bd4-f167385de92f","resolution":{"observed_at":"2026-08-07T10:38:21.033128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.909467Z","title":"MINPRAN: A new robust estimator for computer vision,","venue":null,"work_id":"e3eece9e-6d18-4e1c-923c-f0350d33701f","year":1995},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.571693Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:ff4500cc87c15b705da1088bd4709f68d89fef736c663c890bad6c4a7ef6294b","observation_id":"a503fd7a-835c-4a6d-94fa-bc02c43f9557","resolution":{"observed_at":"2026-08-07T10:38:20.912931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:19.641892Z","title":"Automatic homographic reg- istration of a pair of images, with a contrario elimination of outliers,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.641892Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:5e3994f94e54688c4676f82acd51dc7eb98536a2d397e95a053b27c230ca724f","observation_id":"a73c79d4-8bdc-46d3-9d7a-13c65b295e16","resolution":{"observed_at":"2026-08-07T10:38:19.641892Z","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":"2026-08-07T10:38:20.892268Z","title":"Optimal randomized RANSAC,","venue":null,"work_id":"0d234bf5-4d83-444e-bbf4-c94dcb940344","year":2008},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.685941Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:0a8c5e4a12fa7ac8151fb34d9e9d0fb9f0b214fdb465acb150300094aa308c8f","observation_id":"7b88e679-7bf5-4de0-967c-0ae811e3bd1d","resolution":{"observed_at":"2026-08-07T10:38:20.895868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.881796Z","title":"Space-partitioning RANSAC,","venue":null,"work_id":"7841aed9-1ad6-4688-9421-aa98f98202b9","year":2022},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.763466Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:e8109766abcaf14074033808ba0bc064d674c6f29671ae8644db29534eb16e12","observation_id":"32105835-3ebe-4c07-937e-45c88e8213ef","resolution":{"observed_at":"2026-08-07T10:38:20.884943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.870741Z","title":"RANSAC for (quasi-) degenerate data (QDEGSAC),","venue":null,"work_id":"6e8f68f0-7929-4133-8f58-785bc2371769","year":2006},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.840652Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:831491baedb7cb057d47cdf920713a646085dd02e6b0828e3c376a4c8910f97a","observation_id":"ce9d73b0-c980-476b-958b-4df133494311","resolution":{"observed_at":"2026-08-07T10:38:20.874843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.860010Z","title":"Gms: Grid-based motion statistics for fast, ultra-robust feature correspondence,","venue":null,"work_id":"d7b4785b-84ab-4cd0-a609-b875d6aa933e","year":2017},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.909830Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:a9332cb5eb6d30089d1b1e16453192767fb6b0d01ce61a8ea4688e768f8a7a1c","observation_id":"f9f21d63-eeb0-4867-a278-b1c84d0ce5b7","resolution":{"observed_at":"2026-08-07T10:38:20.863919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.849791Z","title":"Handcrafted outlier detection revisited,","venue":null,"work_id":"32dc3bc7-81a4-4499-9311-618fdb678c56","year":2020},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.981531Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:cab497e4cdeb9dc862c9cd8cd33f0c1944e7f9dc3e21aea33f5ee6df3a1b86b0","observation_id":"a021e355-29bd-422a-b9ef-2f9767223f48","resolution":{"observed_at":"2026-08-07T10:38:20.853081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.838573Z","title":"Learning to find good correspondences,","venue":null,"work_id":"45606c35-6231-422f-8cc8-d7bbc485e8eb","year":2018},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.040298Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:285d5bd4e6aff2595c7d750183aba2163c8666b1a09da2dbdceb79e0c3f87aee","observation_id":"0df45cc7-4bec-4834-b72d-c1ff1e10dc39","resolution":{"observed_at":"2026-08-07T10:38:20.842038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.826412Z","title":"Pointnet: Deep learning on point sets for 3d classification and segmentation,","venue":null,"work_id":"c1eac829-8cb2-42a4-a8e6-e82e3fab068d","year":2017},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.128914Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:33c62815996ab66710ea7fa49ad4e2e7b1adaf28ce3d23dc46e898c490e4d69b","observation_id":"84cf4633-e4ff-4d9f-9868-d96ff796a538","resolution":{"observed_at":"2026-08-07T10:38:20.829922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.816632Z","title":"Acne: Atten- tive context normalization for robust permutation-equivariant learning,","venue":null,"work_id":"605f16bb-ab2b-4518-8876-8038111ac002","year":2020},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.228941Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:6a9c718b6bfb6cf4277997806b0607033470a4b137649fa1b0f5e00dd092903d","observation_id":"681e1ebc-faac-4ef8-a7f6-f2a5e6642546","resolution":{"observed_at":"2026-08-07T10:38:20.820043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.806704Z","title":"Learning two-view correspondences and geometry using order-aware network,","venue":null,"work_id":"0caad80a-c4e7-4638-b4bc-1a3e60cff317","year":2019},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.266301Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:c0a0fe77f22624f5b13049b6a3858150a9782bc1739918ed10a10671cf00c319","observation_id":"811ac9c1-3c1d-4ddd-83c7-2dcc42d36f61","resolution":{"observed_at":"2026-08-07T10:38:20.810080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.796493Z","title":"Progressive correspondence pruning by consensus learning,","venue":null,"work_id":"22641b44-ed1a-4de7-99cd-5aefe1f780a0","year":2021},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.381430Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:83c0b5b3694f65a0433777e72899feb52b04bea24aae23d0b4de1c1e9b48be5b","observation_id":"d5c6a6f8-72ce-4e2a-a998-4ccc7d317420","resolution":{"observed_at":"2026-08-07T10:38:20.800046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.786677Z","title":"Ms2dg- net: Progressive correspondence learning via multiple sparse semantics dynamic graph,","venue":null,"work_id":"eaa9ca0f-2d26-402f-a9da-1843f8a57e5a","year":2022},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.400587Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:5b3a894145faa091585f0d0578e43f760db278ba27602fe3d26ee45d58576690","observation_id":"be1f6729-711d-48f4-8f20-f5d95cff6854","resolution":{"observed_at":"2026-08-07T10:38:20.790101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.774988Z","title":"In defense of the eight-point algorithm,","venue":null,"work_id":"15f42db6-ec06-4572-bba0-75d2afde814d","year":1997},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.404508Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:69395c4f2347918ac7f30ef2afc4cfc9dda7d0de62cb48539dfdbd822a2d8669","observation_id":"9de94416-f85f-49f3-b416-6843f2d6aabd","resolution":{"observed_at":"2026-08-07T10:38:20.778737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.762599Z","title":"Scannet: Richly-annotated 3d reconstructions of indoor scenes,","venue":null,"work_id":"36e59f9c-3367-43a7-874a-a093f0ef81c4","year":2017},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.408555Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:02892dd7b1575ec67b0dc4e6a057aee649d589f81d3181856a23767066699c99","observation_id":"048a0d31-8452-461a-9322-d5e8819dc1e3","resolution":{"observed_at":"2026-08-07T10:38:20.766889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.749881Z","title":"Superglue: Learning feature matching with graph neural networks,","venue":null,"work_id":"0b7f9454-1d69-41b3-aedf-ff938b264420","year":2020},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.412559Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:528eb5fcf3cfdefd7815269d224f2341f5f957676bbaa585a31ecb777407c4fb","observation_id":"3e171087-0f07-4225-913d-d5f955f9c7a1","resolution":{"observed_at":"2026-08-07T10:38:20.754051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.738690Z","title":"Image matching across wide baselines: From paper to practice,","venue":null,"work_id":"77362f47-d33c-48dd-a3d2-605155c08bd2","year":2021},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.415904Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:25bcad0e5e5fd5ceb3bb540a672e787ee2dd06e60ae22334dcb1daf2f65bcdf6","observation_id":"2ab7c77c-c4a4-499d-979f-b280a7c820e7","resolution":{"observed_at":"2026-08-07T10:38:20.742374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.726578Z","title":"Lamar: Benchmarking localization and mapping for augmented reality,","venue":null,"work_id":"4bb7db8a-6e93-4485-a83e-8929c34b5035","year":2022},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.419247Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:379c04f3ad04b1fccf9a1f79cbfafafb0a74e1b3ee60e7af21a8edce0d110b85","observation_id":"08c3ee6d-7e3f-48e5-8bad-7c43fabef01a","resolution":{"observed_at":"2026-08-07T10:38:20.730334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.714016Z","title":"Real-time RGB-D camera relocalization,","venue":null,"work_id":"c568805e-fe75-4706-87a0-476035cb9fe8","year":2013},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.423428Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:2f288973743fb126774fec43f8463d264cbf0cb02806dcd459a64db5b91a69f0","observation_id":"8ed38598-baa7-4ade-9454-002b3df49a10","resolution":{"observed_at":"2026-08-07T10:38:20.718457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.701333Z","title":"Bad SLAM: Bundle adjusted direct RGB-D SLAM,","venue":null,"work_id":"f9168d18-ed3b-4cab-8256-4bdcf39d632e","year":2019},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.427034Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:b4c02e173c4575238b975d41e780f20a4fe9de56b914205c262cc3866732bc66","observation_id":"d090644c-5d3e-4f64-835d-b90bcf787e45","resolution":{"observed_at":"2026-08-07T10:38:20.705902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.430518Z","title":"Vision meets robotics: The kitti dataset,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.430518Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:8781ee0283bdcb75ed6c708b7b61d629408e2fbe1c032a4a5f14d7149974a509","observation_id":"e6a410d9-b61d-4ce1-96c5-911a5440b776","resolution":{"observed_at":"2026-08-07T10:38:20.430518Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:20.434586Z","title":"Hartley and A","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.434586Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:ff70d8f005ecf0bbf369a3e4513743552f634cab5337a97114ce85fdcba327cc","observation_id":"dae80b48-d015-4df5-bb04-21ef8a1f825b","resolution":{"observed_at":"2026-08-07T10:38:20.434586Z","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":"2026-08-07T10:38:20.675561Z","title":"An efficient solution to the five-point relative pose problem,","venue":null,"work_id":"9384b211-5aee-4f98-8b29-49f68b339bdb","year":2004},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.438635Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:783a77aa2752bd836707a45d01e67b4e55ae3636d25b05773bdd1b872aaac2e4","observation_id":"62025556-cd9d-40bc-bedc-17b1a83e600a","resolution":{"observed_at":"2026-08-07T10:38:20.678928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.665980Z","title":"Sur deux problemes de reconstruction,","venue":null,"work_id":"0699ceb3-49c5-43c3-a9a8-cb7509cf8fd4","year":1988},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.442174Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:948cb95354cdcb35d79848837afad1d9d83fe96edae5211475c3bdc133b25a83","observation_id":"b888a15e-ec12-4938-95b4-98ea0a03a1be","resolution":{"observed_at":"2026-08-07T10:38:20.669098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.656054Z","title":null,"venue":null,"work_id":"6de9c9c1-e469-4b55-80b6-cd841f1953bf","year":2004},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.445546Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:603c9529a95d99d3126a2cb1df2f7af0f1a3fabb3cf480a75838538753010705","observation_id":"8d08d07e-0279-435b-9e02-8a68f754d055","resolution":{"observed_at":"2026-08-07T10:38:20.659265Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.646914Z","title":"Lambda twist: An accurate fast robust perspective three point (P3P) solver,","venue":null,"work_id":"1be0a103-7935-4492-9f02-b39bf5a5fd00","year":2018},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.449316Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:747933c79f3e5583eea68da957093b1b62f5d39eaac6a8bd33909ec1949d5d0f","observation_id":"9a59d503-210c-4535-bec0-a35b96f3eaf2","resolution":{"observed_at":"2026-08-07T10:38:20.650357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.637398Z","title":null,"venue":null,"work_id":"89adacf7-c06c-4fb4-94bd-25b04b49dd1c","year":1983},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.452877Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:ff4fbdfcdf322b1ec270f442cd932cfce49c7a8945d5f963fd8f58fc4a910c98","observation_id":"80c1c0b7-e9dd-4214-8f39-d77d3b1b7a8f","resolution":{"observed_at":"2026-08-07T10:38:20.640561Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.626911Z","title":"A large- scale homography benchmark,","venue":null,"work_id":"19a270e6-fdf3-46c7-a1a3-36905c6f6bc7","year":2023},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.456367Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:77810edd2c0f3177f852aba2e3955b77b0cd7631e442cc263d238f3c0fb6df1d","observation_id":"66de0019-b7e7-4497-9052-c3094da8c372","resolution":{"observed_at":"2026-08-07T10:38:20.630463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.617599Z","title":"A minimal solution for relative pose with unknown focal length,","venue":null,"work_id":"1364ed0b-1950-4ad9-9fcc-39bff0fb902f","year":2008},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.459608Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:4a902e9a4c6a2d39758c140f08c6d78527fab9f193bcc349efc8551a62788caf","observation_id":"5bf65ad0-96ca-4ba8-85ef-2d1a47df01a8","resolution":{"observed_at":"2026-08-07T10:38:20.620698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.607684Z","title":"Nonlinear estimation of the fundamental matrix with minimal parameters,","venue":null,"work_id":"6dd08bf5-8642-4332-9c64-f6f3adb7100b","year":2004},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.463477Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:af0f4f2f9dcf31ad671a92170a05fa53bdd942c8c492d16a020f92ee99b84750","observation_id":"873d5f20-c0ab-435b-b58c-bc174e7e223d","resolution":{"observed_at":"2026-08-07T10:38:20.611126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.597298Z","title":"EPnP: An accurate o (n) solution to the p n p problem,","venue":null,"work_id":"76b3156a-b9da-46cd-97e5-2c2fdac01878","year":2009},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.466650Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:a71607c03795d81c262876bda960777b73339fab9475e58283aebf4fcee67c59","observation_id":"0fb52831-bb90-4135-be23-d75c28aaff02","resolution":{"observed_at":"2026-08-07T10:38:20.600733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.586826Z","title":"Sift-the scale invariant feature transform,","venue":null,"work_id":"8fd5c5a7-5dee-403b-8573-13d56c7c780a","year":2004},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.470058Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:d37807d80c0f0a50e3bd1ac667f66fb1814e1879478f21358b324de0566a2b70","observation_id":"cd2285bb-9c7a-4160-8be4-0a0b3b0a236c","resolution":{"observed_at":"2026-08-07T10:38:20.590034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.575744Z","title":"Benchmarking 6dof outdoor visual localization in changing conditions,","venue":null,"work_id":"8a8d6c4d-4df8-480f-b262-ec43ec3dbedf","year":2018},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.473188Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:1aa00597adec0b9a6125e189a1209612c237f672008b784576a43f443ccd8b97","observation_id":"81926faa-af77-4b49-b585-32f8497468c7","resolution":{"observed_at":"2026-08-07T10:38:20.579129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.565403Z","title":"Inloc: Indoor visual localization with dense matching and view synthesis,","venue":null,"work_id":"5221713c-8629-4a56-b4d5-842f90ec5cb6","year":2018},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.476596Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:f0de471cd55ae6899806217437288e545c51f2d76d7c57457b798078a60092bc","observation_id":"ec93189e-b505-458d-97d2-c8222845dfbf","resolution":{"observed_at":"2026-08-07T10:38:20.568723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T10:38:20.554617Z","title":"Geotransformer: Fast and robust point cloud registration with geometric transformer,","venue":null,"work_id":"3752d119-baab-40c6-b40a-67d6e33b0f8e","year":2023},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.479797Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:89cfcd2f50ff447d2bc217504e33f4675ba6ee71e705893aba2a1e3aaee1d4f3","observation_id":"bdf5daea-7013-4042-bbe3-2e4c919020f9","resolution":{"observed_at":"2026-08-07T10:38:20.557998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.09847","last_updated":"2018-01-30T04:33:20Z","snapshot_observed_at":"2026-07-06T06:20:51.245757Z","submitted_at":"2018-01-30T04:33:20Z","title":"Open3D: A Modern Library for 3D Data Processing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.09847","snapshot_observed_at":"2026-08-07T10:38:20.483418Z","title":"Open3d: A modern library for 3d data processing,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.483418Z"},"links":{"cited_paper":"/paper/1801.09847","citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:ae412e74522ce78844da1482090db6a5954ae65d7844b74eb74dee3d6382eff0","observation_id":"114e8985-53bc-4516-ab5c-e2fc66cabe27","resolution":{"observed_at":"2026-08-07T10:38:20.483418Z","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":"2026-08-07T10:38:20.541363Z","title":"Predator: Registration of 3d point clouds with low overlap,","venue":null,"work_id":"0ac26c77-16d4-4eed-97d8-ddd3b5205e00","year":2021},"citing_paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:20.487096Z"},"links":{"citing_paper":"/paper/2506.04803"},"observation_digest":"sha256:b00444f82cd5f2154952f5c694e927a83ca82d6d18771fc16b3331739020ff50","observation_id":"86facd7d-544e-4e34-82ff-3bc7d268a1f1","resolution":{"observed_at":"2026-08-07T10:38:20.546509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.04803","last_updated":"2025-06-05T09:30:27Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T11:57:29.446621Z","submitted_at":"2025-06-05T09:30:27Z","title":"SupeRANSAC: One RANSAC to Rule Them All"},"reference_resolution":{"displayed":76,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":0,"verified_fuzzy":66},"total_outbound_references":76},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 4 inbound Pith citation observations for arXiv:2506.04803."}