{"as_of":"2026-08-23T11:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b3b0d1e4e4d12e60c8ab2519ba25d4fa567d300aeebe257e6b58a39042cdcb61","coverage":[{"denominator":23,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T09:28:26.425755Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+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/2510.15271/citation-record","integrity":"/paper/2510.15271/integrity","json":"/paper/2510.15271/citation-record.json","paper":"/paper/2510.15271"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:28:23.484753Z","title":"Scene coordinate reconstruction: Posing of image collections via incremental learning of a relocalizer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:23.484753Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:5e6cc46706e6cad87fc40387cc03e741132d769f92c34ad1048331e7520e4f03","observation_id":"35ac8b54-3d6c-47cd-9435-c3ba15a30767","resolution":{"observed_at":"2026-08-04T09:28:23.484753Z","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":"2026-08-04T09:28:23.595660Z","title":"Brief: Binary robust independent elementary features","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:23.595660Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:a23f369ce9a40bf73b37efd044ac118c087608f444d88301659267688ad9130d","observation_id":"c43f8f1b-6480-4c4b-9853-5c5258edcc43","resolution":{"observed_at":"2026-08-04T09:28:23.595660Z","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":"2026-08-04T09:28:23.704743Z","title":"Soft2: Stereo visual odometry for road vehicles based on a point-to-epipolar-line metric.IEEE Transactions on Robotics, 39(1):273–288, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:23.704743Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:bec5e0a1bde126aa08ec5deac49efd2066a808affc68843206dfbc97298ca993","observation_id":"3a295c1d-7dc2-4f0a-903b-5e1866919b41","resolution":{"observed_at":"2026-08-04T09:28:23.704743Z","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":"2026-08-04T09:28:23.780611Z","title":"Superpoint: Self-supervised interest point detection and description","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:23.780611Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:789512130fd8787d386e0868e81f5e3444e35e35f835163dd6ce27fd6426f4e9","observation_id":"42008b00-1dac-4cef-9f98-4220392682cf","resolution":{"observed_at":"2026-08-04T09:28:23.780611Z","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":"2026-08-04T09:28:23.852023Z","title":"Mast3r-sfm: A fully-integrated solution for unconstrained structure-from-motion","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:23.852023Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:c1330849ca1b70547f4d59a354277a4e65cb90d1bff02062b8bd107ff8ab4b13","observation_id":"eae1d202-ee84-4e0b-9624-e762aea45245","resolution":{"observed_at":"2026-08-04T09:28:23.852023Z","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":"2026-08-04T09:28:23.971775Z","title":"Roma: Robust dense feature matching","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:23.971775Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:f5fff1bd327df3dae7a61bb70f58df14a76be8c52f82631aa3af8d96f39ea9da","observation_id":"f116cb1b-1db5-4d3e-a26a-f99da1dab985","resolution":{"observed_at":"2026-08-04T09:28:23.971775Z","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":"2026-08-04T09:28:24.224675Z","title":"Are we ready for autonomous driving? the KITTI vision benchmark suite","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:24.224675Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:10696090c869218ef73a42444b3a76362d77bc2efd5e120d6502795a2d617134","observation_id":"0249e8a7-f0ea-4cf8-b41c-f6d0e8b41b5d","resolution":{"observed_at":"2026-08-04T09:28:24.224675Z","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":"2026-08-04T09:28:24.344749Z","title":"evo: Python package for the evaluation of odometry and slam.https://github.com/ MichaelGrupp/evo, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:24.344749Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:4fc987a7fe889c96be156eb372f1841378e19bf90718f6c18547f3773592663d","observation_id":"e7e552f6-ca9d-46d9-8156-6dcd6228f5ad","resolution":{"observed_at":"2026-08-04T09:28:24.344749Z","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":"2026-08-04T09:28:24.402715Z","title":"Cambridge University Press, New York, NY, USA, 2 edition, 2003","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:24.402715Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:024386c8cb594e8ca015989ab8aded2b48c2f423ed4b3c481c3bf58d0776a112","observation_id":"eee8af26-ad77-46b2-8348-fedb94d3aa58","resolution":{"observed_at":"2026-08-04T09:28:24.402715Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.04359","last_updated":"2025-07-08T16:53:53Z","snapshot_observed_at":"2026-08-17T22:10:09.616407Z","submitted_at":"2025-06-04T18:20:17Z","title":"cuVSLAM: CUDA accelerated visual odometry and mapping","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.04359","snapshot_observed_at":"2026-08-04T09:28:24.594901Z","title":"cuvslam: Cuda accelerated visual odometry.arXiv, 2506.04359,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:24.594901Z"},"links":{"cited_paper":"/paper/2506.04359","citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:574a2f996f65ec31b19ddd5cc9f39d4f42970490ccb7b33fcc18a241cdfb4b9f","observation_id":"c391e722-0696-45bf-87b6-1716d1cbfe7e","resolution":{"observed_at":"2026-08-04T09:28:24.594901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11917","last_updated":"2019-08-23T10:28:20Z","snapshot_observed_at":"2026-08-19T18:16:26.503191Z","submitted_at":"2019-07-27T14:08:09Z","title":"Triangulation: Why Optimize?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11917","snapshot_observed_at":"2026-08-04T09:28:24.714818Z","title":"Triangulation: why optimize?arXiv, 1907.11917, 2019","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:24.714818Z"},"links":{"cited_paper":"/paper/1907.11917","citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:ea86dd805d52cec08abff5cfc71d9711f916ef7c8fa496598962d05e45652005","observation_id":"303ab0d3-1b0c-4bc4-b633-96b0259443e4","resolution":{"observed_at":"2026-08-04T09:28:24.714818Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14914","last_updated":"2025-01-24T20:46:04Z","snapshot_observed_at":"2026-08-14T14:43:32.491698Z","submitted_at":"2025-01-24T20:46:04Z","title":"Light3R-SfM: Towards Feed-forward Structure-from-Motion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.14914","snapshot_observed_at":"2026-08-04T09:28:24.892441Z","title":"Grounding image matching in 3d with mast3r.arXiv, 2501.14914, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:24.892441Z"},"links":{"cited_paper":"/paper/2501.14914","citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:f2c14f7ec576ff2a19bc6e7bf61f5df7a9762238a103875065f6866720c4babd","observation_id":"f75285f3-47d2-42f0-927d-e3da9f06e8b0","resolution":{"observed_at":"2026-08-04T09:28:24.892441Z","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":"2026-08-04T09:28:24.980870Z","title":"Lightglue: Local feature matching at light speed","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:24.980870Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:52fe17bdc4b26777e61a429d7c9b6cb7b8da09c09eea20cb18947272a06ee2a4","observation_id":"8ca5eceb-45eb-4c50-b112-a3f8ca91aff8","resolution":{"observed_at":"2026-08-04T09:28:24.980870Z","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":"2026-08-04T09:28:25.099004Z","title":"Multi-session slam with differentiable wide-baseline pose optimization","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:25.099004Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:a0045d3947ad3d015b9ebeaa7333e8bea476418a72c64b3490e06f1541086523","observation_id":"d6b462ec-6447-4497-bee8-62f44f0a61f7","resolution":{"observed_at":"2026-08-04T09:28:25.099004Z","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":"2026-08-04T09:28:25.250305Z","title":"Distinctive image features from scale-invariant keypoints.International Journal of Computer Vision, 60(2):91–110, 2004","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:25.250305Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:415745ea1ccc7ce2b899756b2fd0d52b1ed52f5e0feee115b2bdbd7b54cac121","observation_id":"26849576-c2ff-467b-812c-57fb98dd6ad5","resolution":{"observed_at":"2026-08-04T09:28:25.250305Z","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":"2026-08-04T09:28:25.374743Z","title":"Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras.IEEE Transactions on Robotics, 33(5):1255–1262, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:25.374743Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:adc5602a8d5351998992dbf8eb9906a115f711856f7ab843ff6a88afe585d87a","observation_id":"5b43a711-a526-4476-b425-3648447c4a79","resolution":{"observed_at":"2026-08-04T09:28:25.374743Z","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":"2026-08-04T09:28:25.582005Z","title":"Global structure-from-motion revisited","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:25.582005Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:bf2db36201230ee82bdf03df3d5ec2d18b01cb0b2b10aa79b83610a6f0324731","observation_id":"08a73025-9446-4810-8c39-a531fe612245","resolution":{"observed_at":"2026-08-04T09:28:25.582005Z","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":"2026-08-04T09:28:25.774571Z","title":"Nascimento","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:25.774571Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:ae5e3d14e0b4e8fc0045ca3293e29ca1eeb771554d17573aa4f5b799dae52161","observation_id":"85e84a7a-f35e-44e8-ae2b-cc1bd315e5d6","resolution":{"observed_at":"2026-08-04T09:28:25.774571Z","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":"2026-08-04T09:28:25.971837Z","title":"Structure-from-motion revisited","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:25.971837Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:2a05388824e6d10d746f09c812b55fbf26d19e38c3f9ba19391e0d97ee560ee5","observation_id":"a20f7d4b-8c6f-4d5c-bbbe-45d6a8a5c31f","resolution":{"observed_at":"2026-08-04T09:28:25.971837Z","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":"2026-08-04T09:28:26.111808Z","title":"Disk: Learning local features with policy gradient","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:26.111808Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:2d6c56bf63aa9664e3e0726506194d26fcdf872c93d178311d56b67f8dfae659","observation_id":"535795e9-6f43-46b9-a905-11913086475e","resolution":{"observed_at":"2026-08-04T09:28:26.111808Z","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":"2026-08-04T09:28:26.211325Z","title":"Hierarchical multi-level information fusion for robust and consistent visual slam.IEEE Transactions on Vehicular Technology, 71(1):250–259, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:26.211325Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:c0ac26d4d98310cfd4afb5c814a469ced8f1f9c52a8db32a6a81859d4b438318","observation_id":"0729bf04-b085-4e95-b370-8f48b0dffb5e","resolution":{"observed_at":"2026-08-04T09:28:26.211325Z","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":"2026-08-04T09:28:26.330020Z","title":"Birch: an efficient data clustering method for very large databases.ACM SIGMOD Record, 25(2):103–114, 1996","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:26.330020Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:34a27f1fcefe76afe175e66237ea0db18fdb055457bc874c4a56062015f50c2f","observation_id":"a9c6697c-7f78-4706-b70d-a37eb05b2b05","resolution":{"observed_at":"2026-08-04T09:28:26.330020Z","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":"2026-08-04T09:28:26.425755Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T09:28:26.425755Z"},"links":{"citing_paper":"/paper/2510.15271"},"observation_digest":"sha256:d1606389e17122d82c310f8600f6fcfcc07fae57d80a2ea1c817e8c031426529","observation_id":"d0096094-3f8f-4db3-b84b-72ec8ac185e5","resolution":{"observed_at":"2026-08-04T09:28:26.425755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2510.15271","last_updated":"2025-10-17T03:29:11Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T20:31:48.625233Z","submitted_at":"2025-10-17T03:29:11Z","title":"CuSfM: CUDA-Accelerated Structure-from-Motion"},"reference_resolution":{"displayed":23,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":23},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2510.15271."}