{"as_of":"2026-08-10T23:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4646d92c5e73fd804f8a64a959db6037178c5e338520f1138590a9fe8c370828","coverage":[{"denominator":67,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":67,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-22T16:30:11.758892Z","state":"measured"},{"denominator":67,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":67,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.04864/citation-record","integrity":"/paper/2505.04864/integrity","json":"/paper/2505.04864/citation-record.json","paper":"/paper/2505.04864"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Geometrized transformer for self- supervised homography estimation","venue":null,"work_id":"1055489b-379b-4a03-8adc-97aaea658558","year":2023},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:cb90bfad49931bd52c2364012948bf46af25f571aca2f1d62971f958f3c2c440","observation_id":"a5c41ca9-917f-493e-acff-03aaa630f71f","resolution":{"observed_at":"2026-05-22T16:31:47.773720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Rempe: Registration of retinal images through eye modelling and pose estimation.IEEE Journal of Biomedical and Health Informatics, 24","venue":null,"work_id":"cf3a95ec-6e19-4450-a84f-5c7cd98c66b1","year":2020},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:93976bb657117f49dcdb34f72d3f36c88aee35cca9b6b5dfbbb74f3113acea61","observation_id":"a18a004b-89b2-4d78-a0f9-37b7a7364192","resolution":{"observed_at":"2026-05-22T16:31:47.780103Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Loftr: Detector-free local feature matching with transformers","venue":null,"work_id":"67cdf040-4ca6-414b-9f91-058af6521d70","year":2021},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:0eeafd1f6f78463b64fa368f8d2cb4516bc2bef764f89e461d71c5bdfe24de60","observation_id":"8ee323bb-41ed-4e16-9991-190ad4c14e50","resolution":{"observed_at":"2026-05-22T16:31:47.789204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Semi-supervised keypoint detector and descriptor for retinal im- age matching","venue":null,"work_id":"06b58e8a-60d7-442a-9d59-e49d7a80cf48","year":2022},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:eab322894f127c2d795a7317a2a26c45e0f9bac1e405c522513d09868f17c67b","observation_id":"bf292b6c-ab3e-4829-9e6b-3927edb9cecf","resolution":{"observed_at":"2026-05-22T16:31:47.768300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Superjunction: Learning- based junction detection for retinal image registration.Pro- ceedings of the AAAI Conference on Artificial Intelligence, 38(1):292–300, Mar","venue":null,"work_id":"78e5cb98-dbc6-4d27-bbb9-7e5a868b4d6e","year":2024},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:158acf120f3ac1d24cb334c122dcf293cffe6d8ce16030d54a747312b4da6007","observation_id":"251c5357-0cb7-412f-b437-a024d7800f9a","resolution":{"observed_at":"2026-05-22T16:31:47.765539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"V oxelmorph: a learning framework for deformable medical image registration.IEEE Transactions on Medical Imaging, 38","venue":null,"work_id":"1d9be61a-92aa-4c37-9bb2-891352636561","year":2019},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:afc5030e7591f34220e796b3f0f260e079784ca2ba6fba6d1b8322410c2cb2ce","observation_id":"519c1cdf-dab5-40bc-8ff3-fda2986b6eb1","resolution":{"observed_at":"2026-05-22T16:31:47.803434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Cyclemorph: cycle consistent un- supervised deformable image registration.Medical Image Anal- ysis, 71","venue":null,"work_id":"3667c28e-aec2-4024-b0ca-cc030f35d936","year":2021},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:66ba348b07eb49eabb912655e168d2f4a2090b8a38db12516ec65188b521bd36","observation_id":"7e7cb52c-a52f-41ef-9ee8-62bffb501364","resolution":{"observed_at":"2026-05-22T16:31:47.669409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Diffusemorph: unsu- pervised deformable image registration using diffusion model","venue":null,"work_id":"1da93e9b-0406-48db-8aa6-b2af20074cc2","year":2022},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:0e45c86b69e2f73e316659b694ebc69a509b04ef3c8e9ce73b085e59a190706c","observation_id":"c8ebb18e-367c-44b7-8266-9cdd0f9380e6","resolution":{"observed_at":"2026-05-22T16:31:47.800395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Frey, Yufan He, William P","venue":null,"work_id":"44287a49-7e6b-432e-8f33-0dfcfa1fe285","year":2022},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:a94dcf43bdcf2453ac317a8bcab487034fb3e1c8cf73d169a5d27f5aaef48543","observation_id":"15988801-236a-4ee7-912f-d920901f8a9c","resolution":{"observed_at":"2026-05-22T16:31:47.814577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Springer Nature Switzerland","venue":null,"work_id":"0586f739-49b3-474e-8d93-c18d70cfb6cc","year":2023},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:23b6e4b6d90f442698ad7bcae5d1bc5de7faf1d61d41ea83a3abbe1c85d35fbb","observation_id":"ec162233-d6ca-4b76-92c8-2bfdf780f2e0","resolution":{"observed_at":"2026-05-22T16:31:47.797671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"H- ViT: A Hierarchical Vision Transformer for Deformable Image Registration","venue":null,"work_id":"1b99d916-d741-4048-a99c-6245a571daf1","year":2024},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:b49275b34597fcbfc5796797adb085f4874df4e7a90cfbe79741985eb08e29a7","observation_id":"df7aeaa3-b22d-4bfb-adf5-79349ca239ff","resolution":{"observed_at":"2026-05-22T16:31:47.682956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Besl and Neil D","venue":null,"work_id":"59cb2300-96cf-41a0-9967-1164ef7bbc8b","year":1992},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:3a9e5b7b181308ae657832a7cdeef6490dd4427fade990275eba7af80ed01c6a","observation_id":"7b37292d-2c3a-4220-9fb7-cf4c032af361","resolution":{"observed_at":"2026-05-22T16:31:47.806234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Active shape models-their training and applica- tion.Computer Vision and Image Understanding, 61","venue":null,"work_id":"c2b9cdc8-7749-4527-a734-44d8bb61b4b3","year":1995},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:48edd372342f583c88a3cac650c01b2cab87b528075de1eb89aaf387444e72b9","observation_id":"415e09a9-a195-4527-ac4c-9237e13744b7","resolution":{"observed_at":"2026-05-22T16:31:47.820601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Lee, Ozan Oktay, Andreas Schuh, Michiel Schaap, and Ben Glocker","venue":null,"work_id":"197a15a4-62f2-47cb-b06f-b59a57e21585","year":null},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:db9b4ddfa2225e95e1266c643d0992369d58c17bb50d26334612d5d0db04b86b","observation_id":"e6b00cdf-b168-4d72-8816-43b056cf3567","resolution":{"observed_at":"2026-05-22T16:31:47.783082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A deep learning framework for unsupervised affine and deformable image regis- tration.Medical Image Analysis, 52","venue":null,"work_id":"2bfd9ee2-8f15-4a59-80bc-9df60ee0b664","year":2019},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:fd3a6ce79e966dfc4bc08fe28b6e1d61d96997454a6cf3462f6007a8e6a3a8b0","observation_id":"d777fd09-859b-4ad9-b8df-6a41d1042cee","resolution":{"observed_at":"2026-05-22T16:31:47.792001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deep lucas- kanade homography for multimodal image alignment","venue":null,"work_id":"9faca621-6c7f-4273-9103-db3a713956de","year":null},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:e983327201673c1e502ff68db326a1ccbbe23d6ecc0b3023490cf920888559d3","observation_id":"11ffb8dc-407f-4bbe-9005-e93e042fdc42","resolution":{"observed_at":"2026-05-22T16:31:47.777242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mcnet: Re- thinking the core ingredients for accurate and efficient homog- raphy estimation","venue":null,"work_id":"55d8f1dd-ddbc-482c-b6ad-437233be6aa3","year":2024},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:1d3217a695c6d23da35493efcbe34fd435ff7877ddaef5dcda047671fc782e9d","observation_id":"0547e205-2934-420d-adf3-a56c4b049ecc","resolution":{"observed_at":"2026-05-22T16:31:47.771173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Correlation-aware coarse-to-fine mlps for deformable medical image registration","venue":null,"work_id":"e241fd67-5418-49ec-a244-9cfd9531548e","year":2024},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:d99faf72e9cd2ed910621e5a642190653bc4c0ff4603a013e0b095b8bb41ba32","observation_id":"546f9b47-86d7-46fc-9001-5de9f76c8fc9","resolution":{"observed_at":"2026-05-22T16:31:47.759626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Stendahl, Lawrence Staib, Albert J","venue":null,"work_id":"e64a224b-acf1-4e5a-9c2d-0883369e870e","year":null},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:0da049d916013a4aa9dfdd1779a1d6c9eaab704e40d41e8316d523d63b239d27","observation_id":"ca57b80e-a0c3-4da3-9a9d-df6333c372de","resolution":{"observed_at":"2026-05-22T16:31:47.824160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Iirp-net: Iterative inference residual pyramid network for enhanced im- age registration","venue":null,"work_id":"959c26d5-f5c0-422a-a635-cce30c91658b","year":null},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:b35c314939571e8d4cc8d8a476acb492b73a9a74c35abd2f87f948d3afa630b2","observation_id":"ba2a0d88-cca5-481f-9a18-0480f8a257e5","resolution":{"observed_at":"2026-05-22T16:31:47.699087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Superpoint: Self-supervised interest point detection and de- scription","venue":null,"work_id":"8e22e902-9f64-4f21-898e-ad3fc1741ed6","year":2018},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:2d07b88985c1f979f16227fd94e170302714028ddb077d7fb1efa0aafdf77284","observation_id":"be080698-c9b1-4c84-98a1-86d5e7c8610f","resolution":{"observed_at":"2026-05-22T16:31:47.666211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Glam- points: Greedily learned accurate match points","venue":null,"work_id":"7138c8c8-35b1-48e9-8583-331f996a4ac0","year":2019},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:f3f4a3b3f257293e12cc020b2759e13fba87134cf73b7c330911921ee3a6d195","observation_id":"2975d172-3862-4e4a-b819-f6f477dd2b94","resolution":{"observed_at":"2026-05-22T16:31:47.644770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Ncnet: Neighbourhood consensus networks for estimating image correspondences","venue":null,"work_id":"5539cf4d-4f30-452b-beb3-f912a12ba4b1","year":2020},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:9a37bbca4e3f1f14990753eb6823f35f126c1fe7976a1e8e768a98870e805cf6","observation_id":"50130d71-8435-4001-9041-c73acfd77a0b","resolution":{"observed_at":"2026-05-22T16:31:47.648196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Superglue: Learning feature matching with graph neural networks","venue":null,"work_id":"0ed870cd-9e20-476c-8bf7-2c544cfe44af","year":2020},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:e661419ca2b6843e4fb301b04bddefbf19f1144a57b356f575b85ac2d4ede43a","observation_id":"271190d0-f59f-485e-98f3-7c768b55c872","resolution":{"observed_at":"2026-05-22T16:31:47.650872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Aspanformer: Detector-free image matching with adap- tive span transformer","venue":null,"work_id":"9b0a6f6c-d3d2-48cb-986d-52148d70ef72","year":2022},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:d8ecb81c7dcecbb285e36b4830cb725cdb4d891c81ed59629f4ec1290884e0a0","observation_id":"5032fb94-12a6-4e89-b546-10de3542d280","resolution":{"observed_at":"2026-05-22T16:31:47.653787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Tamplin, Isabella M","venue":null,"work_id":"21462d7f-e8f9-4a0f-9f2b-4517b199f812","year":2024},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:5dee2ecdf82671fcf2686a0155266d91c32f3e8be9982e25b23a50fc7abcefaf","observation_id":"d246e0ad-8924-4e4b-abdf-366f30d985d7","resolution":{"observed_at":"2026-05-22T16:31:47.686126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Iterative deep homography estimation","venue":null,"work_id":"cbb6cfee-007e-4d8e-a6ad-73d1da1cd9ad","year":2022},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:d29327a8d9b616a85713d10f150c52ae6a68dfcf0e1c602c87d320e9ff126a79","observation_id":"257a95b7-e600-4378-9da8-4b52f5e5f1f8","resolution":{"observed_at":"2026-05-22T16:31:47.662996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Distinctive image features from scale-invariant keypoints.International Journal of Computer Vision, 60","venue":null,"work_id":"b783f667-f184-4924-bfa7-19130910c6e5","year":2004},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:205155aaba00acbd7a532294d689cca75ab28eaf7e2447c3110e599ea1daf3f7","observation_id":"52e95798-89f5-4f9d-af7f-1f50c8709d50","resolution":{"observed_at":"2026-05-22T16:31:47.751387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Surf: Speeded up robust features","venue":null,"work_id":"97db1fe3-17b4-448d-a893-7a86a9fa0032","year":2006},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:a3d59043bdb04857a5fdf51c5dc6787e1d3ccb456b8bee558ff5a93ebe54e9bd","observation_id":"1c4197f4-aa53-4cb2-8c6f-61e5d7cfac5d","resolution":{"observed_at":"2026-05-22T16:31:47.837780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Faster and better: A machine learning approach to corner detection.IEEE Transactions on Pattern Analysis and Machine Intelligence, 32","venue":null,"work_id":"b9716e68-703c-4991-8225-c02b55c918a0","year":null},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:2b4ea4c11805cbd719c5937926bc2723998185fd0269391813912933237c90e4","observation_id":"e150b3d1-6b12-4e7c-91e2-c90e1d9f87b1","resolution":{"observed_at":"2026-05-22T16:31:47.834441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Brief: Binary robust independent elementary features","venue":null,"work_id":"6342b8cd-eb44-4dbb-90b8-983dbda536ac","year":2010},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:de71458c6d54bb2451c00626081f504438457f9ebb8ebb139e54c5cf9639f271","observation_id":"c0ca58e0-3a62-476c-95c2-730047499f2d","resolution":{"observed_at":"2026-05-22T16:31:47.847366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"R2d2: Repeatable and reliable detector and descriptor","venue":null,"work_id":"d7ef41d2-60dc-42b5-8b0a-c03bf9c64ca4","year":2019},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:97ce972a2c9d9a6a090908dacd0a6f903f431497433bec9002d52c32b962ae4b","observation_id":"e9c4f2f6-728c-4f0b-9f33-92b337a1c156","resolution":{"observed_at":"2026-05-22T16:31:47.827633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"LightGlue: Local Feature Matching at Light Speed","venue":null,"work_id":"2d394550-7815-4c70-abed-5a33b5ea9705","year":null},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:a11ed8e2ac0a9384519faa4dde87c93ff853505577436c2b76f15746ed49d9d0","observation_id":"a4c84c91-47f2-4751-9fef-0caadf88ef43","resolution":{"observed_at":"2026-05-22T16:31:47.737413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deep image homography estimation","venue":null,"work_id":"e826a41c-5214-461d-ac00-c487bf5f12db","year":2016},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:99ae2b549da7f6c623e391576eb77c660227732513892f737c0913cee9791f25","observation_id":"b53d4ba9-b39a-403d-8b9b-28c8b8acb949","resolution":{"observed_at":"2026-05-22T16:31:47.844124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Gmflow: Learning optical flow via global match- ing","venue":null,"work_id":"e19117c6-1ed9-4ea5-8bb6-99aaca5a3f91","year":2022},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:ca38e2ac683704f5ee7fffaa3eb1426a45ea2e982cc4e75d9c034b0250af4717","observation_id":"c759117d-fed6-41b2-8c7a-2404731242d7","resolution":{"observed_at":"2026-05-22T16:31:47.786210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Flowformer: A transformer architecture for optical flow","venue":null,"work_id":"cfc2b795-bd4d-4e65-8aaf-faf4d09a71e1","year":2022},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:7e9ec4e385d2008a086c16353325e25a25264f77693705d8f94990abef0e3de8","observation_id":"337a87c9-0562-476b-b259-da2f963635df","resolution":{"observed_at":"2026-05-22T16:31:47.840817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"RoMa: Robust Dense Feature Matching","venue":null,"work_id":"02d64cf4-2636-4bc9-844a-8de16dd1eaaa","year":null},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:ac4cea639d208a3474e4265dcf7ca690a468522a63012c47403c07ad0a9ea897","observation_id":"e9d3a99b-4513-484a-9ab9-91f6646d729d","resolution":{"observed_at":"2026-05-22T16:31:47.830914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Emergent correspondence from image diffusion","venue":null,"work_id":"e97c1d51-8d2f-4e1e-8f97-4ef24646f205","year":2023},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:8de3d737c0169e733e0a8b2909681756ab3f8b1051ba90f85f6eea22f1a3c9d1","observation_id":"9d98c5c5-b6be-4c4a-b02c-3345ec6cd2d7","resolution":{"observed_at":"2026-05-22T16:31:47.676216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Wells III","venue":null,"work_id":"2603747f-1d6b-4c06-8a21-26c5d95af30e","year":1997},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:136aa7384d5627d7064f6b78cdf259cb77671a8944de3f68c90417ad3acd541e","observation_id":"42f85f4b-1df2-4240-bbc6-2e1448d5754d","resolution":{"observed_at":"2026-05-22T16:31:47.728265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Image registration methods: a survey.Image and Vision Computing, 21(11):977–1000","venue":null,"work_id":"05716a01-36f6-4715-ba93-2da8a35b4260","year":2003},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:9ec01f1be8f80b44839b22ffe89d19a92bf3406a20a195e84462d32c1cc083ac","observation_id":"da8923b1-3ffd-4801-a74a-f5b88ffdad44","resolution":{"observed_at":"2026-05-22T16:31:47.734253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Multimodality image registration by maximization of mutual information.IEEE Transactions on Medical Imaging, 16(2):187–198","venue":null,"work_id":"097deccf-3a76-42d0-88cd-b25ceee7c785","year":1997},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:2cbf9bfa5eb35a40b3dcab243b7a2bde1472797f6f0acfe48b50acf803b0c77a","observation_id":"601fc97e-a8fa-4a0e-add2-21d46f12511f","resolution":{"observed_at":"2026-05-22T16:31:47.660006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Image matching as a diffusion process: an analogy with maxwell’s demons.Medical Image Analysis, 2(3):243–260","venue":null,"work_id":"124b03b3-15b5-4d93-aba0-9176da40f5b7","year":1998},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:c2e1380cabb473a07084e6e7db043c103aed8493360be682d3a7a9b59a0f28b6","observation_id":"a4e40cae-1993-4e1c-a2e8-7cc05656d58d","resolution":{"observed_at":"2026-05-22T16:31:47.748541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Spatial transformer networks.arXiv preprint","venue":null,"work_id":"576296a5-d1b6-42d8-be6c-fd509310a045","year":null},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:2736fda658614cc69bbfe1f596a14453bbb761a99c300a9f46c1b28ae565e7d5","observation_id":"21f429fb-a955-4242-8552-080791b0a145","resolution":{"observed_at":"2026-05-22T16:31:47.745427Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Separable flow: Learning motion cost volumes for optical flow estimation","venue":null,"work_id":"55c54d3b-c404-4705-8373-787c04d2feea","year":2021},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:84167de4754ee4288370a7da1e051cb24096d7293605e232fdb241bbcf238033","observation_id":"d0764926-8537-490f-a4f7-af753acc0ad3","resolution":{"observed_at":"2026-05-22T16:31:47.680062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deformable image regis- tration based on similarity-steered cnn regression","venue":null,"work_id":"170a9dd5-b067-4b80-b706-54e37a4aa388","year":null},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:fcc3402099d09f40225adf051cec1e8fc7ada47dd24a1ad0039cf4f58506f42b","observation_id":"b2384435-7c1a-4722-9817-7232f9711480","resolution":{"observed_at":"2026-05-22T16:31:47.695725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Weakly-supervised con- volutional neural networks for multimodal image registration","venue":null,"work_id":"f1c63a68-56b9-4881-8345-3b48c67b7af3","year":2018},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:14dad52a6669948acf7bfd138bbd5f106e274c0bc0f522b7192b7a5bc3fd5290","observation_id":"e625a7a4-b2b5-44e5-a378-b31b60b883a6","resolution":{"observed_at":"2026-05-22T16:31:47.672914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deepatlas: Joint semi- supervised learning of image registration and segmentation","venue":null,"work_id":"80f58cc1-da20-4ff8-96b2-be0834e7eff4","year":2019},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:acf8d0c6efc7ca75111125433c39ad0674865d05fd2060f27d62900e494e5ab4","observation_id":"fded82b0-e23a-4428-9a9f-8cf3a2577cbf","resolution":{"observed_at":"2026-05-22T16:31:47.756403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Springer Nature Switzerland","venue":null,"work_id":"59374169-7e80-44ba-8402-9d333254209f","year":2023},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:9bf319b1b2a08c6e31564ae0a345d1dcbd29bbe9962f0c28c1ad18f0d35e6b55","observation_id":"e3a805c2-893d-48c8-a27b-708c41996eff","resolution":{"observed_at":"2026-05-22T16:31:47.702280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Random sample con- sensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395","venue":null,"work_id":"98574012-31d3-48db-9ddf-f001586cc6ef","year":1981},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:3d6032ed065e0c6f6a00054f82ec2855691c34c11dfc263bfd8e80fa7f5f33a0","observation_id":"3ee65bc6-ff1c-4a81-bc5f-f5cd4ccac647","resolution":{"observed_at":"2026-05-22T16:31:47.692506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Lucas and Takeo Kanade","venue":null,"work_id":"b6152aad-af3e-41e9-b749-51917cb5cbd0","year":1981},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:6e6fe2ca2b326ef69097da9c813fd4b829b9e40a871e5413d86180a705f40b4f","observation_id":"48f220ff-d557-42f5-9c03-155ffc8a94a8","resolution":{"observed_at":"2026-05-22T16:31:47.689277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Posediffusion: Solving pose estimation via diffusion-aided bun- dle adjustment","venue":null,"work_id":"da926bc5-e7e6-47e0-837f-5074e6bd4e8d","year":2023},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:d45a627f5bfe89cb372150501ca33b420228ff9339c93da1c765c10ed418d6c7","observation_id":"4d699aaf-c4e6-4330-b9e4-b5887fa348dd","resolution":{"observed_at":"2026-05-22T16:31:47.709178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Cameras as rays: Pose estimation via ray diffusion","venue":null,"work_id":"b899837e-6a2d-4034-84f8-a87a56bd3c6c","year":2024},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:7f5b2ac1edfc517adfd52517dd8f56646a7c07393f32e614bfc5ff9b52a0e206","observation_id":"fce44689-e775-45d8-929f-79890ab65d86","resolution":{"observed_at":"2026-05-22T16:31:47.705952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Ang Jr, and Daniela Rus","venue":null,"work_id":"bba63e62-1a3e-4934-b70e-1b4ed4336653","year":2021},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:b5e9f3f2c115c8f5f408f543e476b659537d2570306a1ccd0586c8284600a938","observation_id":"7117269c-4aa9-43be-874a-84cd89fb34cd","resolution":{"observed_at":"2026-05-22T16:31:47.656811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Cambridge","venue":null,"work_id":"1ca59ddb-0efd-4573-b359-155dc26be026","year":2003},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:b7e0534c0b2f78ca605ee5399ce513b2a711ea67a544f914f16f87dca3e275f4","observation_id":"8c0bdeeb-912a-429f-be19-929c2be4716e","resolution":{"observed_at":"2026-05-22T16:31:47.740041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dsac* - differentiable ransac for camera lo- calization","venue":null,"work_id":"189356af-db81-4aa4-9bd1-a8d1f78b9f82","year":2019},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:f3da7e3744f9a4affc6610dbdd6ab1bf03d0902f16a8ac7dc26659a1eef9f94c","observation_id":"b15bcd8e-e8c9-4912-be57-dc8807105b1d","resolution":{"observed_at":"2026-05-22T16:31:47.742806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fire: Fundus image registration dataset.Journal for Modeling in Ophthalmology, 1","venue":null,"work_id":"caf96f76-1b8f-40e7-a9bb-28efa5c75924","year":2017},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:042799ce11165ec67ed647731cbf36d61df3290679d1e3f7d5ac6c7d2be206d0","observation_id":"b05532c3-fad0-4089-a7a5-c9573b8d259b","resolution":{"observed_at":"2026-05-22T16:31:47.754149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Flori21: Fluorescein an- giography longitudinal retinal image registration dataset","venue":null,"work_id":"cad62a19-6f44-49b1-bd6a-c8e1a9ee3db1","year":2021},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:47f620b7a010ed92e7a4117c06d38e3d28d184c48fd3450a462caa896003db40","observation_id":"420e53f0-03ec-4baf-b0f7-119d4b19382f","resolution":{"observed_at":"2026-05-22T16:31:47.762538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Hpatches: A benchmark and evaluation of hand- crafted and learned local descriptors","venue":null,"work_id":"18e39eb8-a1a0-460d-b965-94136a464ff6","year":2017},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:b59a27ddae98266d9b5860cfdd66125ccc4342a01784ccada054ecd88d33af88","observation_id":"52167cc5-8308-415c-b716-ee71be438388","resolution":{"observed_at":"2026-05-22T16:31:47.809027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Megadepth: Learning single- view depth prediction from internet photos","venue":null,"work_id":"4bb237ad-b545-4c92-8bf4-8c72f1808aa4","year":2018},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:3a0d4c3047fbe7e71d02b47d997d94e54b1ee1ec1cf19d1dd77106700083ac1b","observation_id":"929f7ebd-abc5-4428-8d62-46baf670d949","resolution":{"observed_at":"2026-05-22T16:31:47.794917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner","venue":null,"work_id":"8b18674f-f3ed-4efe-86eb-16c3103a98f2","year":2017},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:912f8a97ad615b80fc54e11bd8722cfdd2030a14e810f22b42f934fd64ce64c5","observation_id":"74eeabee-6729-4ee8-9f9b-617e5b74ed5c","resolution":{"observed_at":"2026-05-22T16:31:47.811578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Lawrence Zitnick, and Piotr Doll ´ar","venue":null,"work_id":"a73545ae-6e79-4f06-8aff-a7653b9cf20e","year":2015},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:49e7f963bffef0ce41872b1e6eef149531e8ca8985f06d4ba8831a4f903233cb","observation_id":"d5c78687-60a0-42f7-b205-3c1651a32b32","resolution":{"observed_at":"2026-05-22T16:31:47.817578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Decoupled weight decay reg- ularization","venue":null,"work_id":"09f7c312-5da2-4e3e-aabb-0fa1b4acba03","year":2019},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:9e1e78f496a718238b896fd01ec71d04b07248db7cb503ef2a03e776c20a26c9","observation_id":"6672c2d2-5bf3-4ab4-864f-11d4c0dedab2","resolution":{"observed_at":"2026-05-22T16:31:47.722471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The dual-bootstrap iterative closest point algorithm with application to retinal image registration.IEEE Transactions on Medical Imaging, 22","venue":null,"work_id":"e0100b84-c5e1-4a70-bb5d-908c4abada4f","year":2003},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:4c62c1567126c8a014afb4d24e23c95f72975b9f0e26dfb5f150b25bd884e7e4","observation_id":"54c43c86-178d-4b25-b0d4-2480047f4726","resolution":{"observed_at":"2026-05-22T16:31:47.725531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Matchformer: Interleaving attention in transformers for feature matching","venue":null,"work_id":"bdad05cd-0055-474d-8a07-aff626932f0a","year":2022},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:0fc4489b10d2a3b1ad421fb11b060fa37b9032e9c41bd5973b036b8f36a96d3f","observation_id":"6788b1f2-1a54-4d94-ad34-9d6446a79e35","resolution":{"observed_at":"2026-05-22T16:31:47.715336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Object retrieval with large vocabularies and fast spatial matching","venue":null,"work_id":"113d60f7-47e9-429a-b9d0-8b1c141a2b14","year":2007},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:821eaafd34967c2b002cb382e1076b42456a09a17f2a83f63927e7bd3cffb319","observation_id":"f16646db-97eb-44bb-ba2d-08dcc488bacd","resolution":{"observed_at":"2026-05-22T16:31:47.712115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Lost in quantization: Improving particular object retrieval in large scale image databases","venue":null,"work_id":"0e18eda0-ff0c-418d-acdf-9220fdcb6b65","year":2008},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:cbaea078496c0e3a0d465337687fdbf14a41686f79069f9d981e8fb29b5bfe2e","observation_id":"9e14c30a-fe19-4b7d-8920-d2586145f8a2","resolution":{"observed_at":"2026-05-22T16:31:47.718470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Recurrent homogra- phy estimation using homography-guided image warping and focus transformer","venue":null,"work_id":"9bed25ed-5a71-4317-b2cb-52464f6cd1f2","year":2023},"citing_paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-22T16:30:11.758892Z"},"links":{"citing_paper":"/paper/2505.04864"},"observation_digest":"sha256:a24687ae75895f118fb9e67f571e8883c5ced459bce2fea646f6b88f9894dd1e","observation_id":"46f58f02-6e77-406f-abb5-8a8792273c4d","resolution":{"observed_at":"2026-05-22T16:31:47.731413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.04864","last_updated":"2026-04-12T03:59:33Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T21:20:36.024792Z","submitted_at":"2025-05-08T00:28:31Z","title":"Auto-regressive transformation for image alignment"},"reference_resolution":{"displayed":67,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":67},"total_outbound_references":67},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2505.04864."}