{"as_of":"2026-08-13T05:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c6996a4f1a05929f3ebf6177bb9db37859314c4a5596750aed5832ea52c1ec07","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:25:59.553801Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2501.08659/citation-record","integrity":"/paper/2501.08659/integrity","json":"/paper/2501.08659/citation-record.json","paper":"/paper/2501.08659"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.398072Z","title":"A practical survey on visual odometry for autonomous driving in challenging scenarios and conditions","venue":null,"work_id":"cb48aac4-51a0-4a14-bdb5-8cc4b414303b","year":2022},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.343675Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:cfa0ac587239bb53d9b26ce9eb913277d8316740fc891b9ea1624299e83d0daa","observation_id":"8634a7fe-e35a-4ea7-a724-bf1e4c9308da","resolution":{"observed_at":"2026-08-10T20:26:00.403261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.384203Z","title":"Direct visual odometry in low light using binary descriptors","venue":null,"work_id":"577f7412-3d92-41ab-900a-65ed195b4f21","year":2016},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.348962Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:ea507befb2e5c4852a837224c819a02cb959990251bd10ff6344f5e97b5f7fe0","observation_id":"dc15c20f-5a11-44cc-b1c9-0e795ba2106e","resolution":{"observed_at":"2026-08-10T20:26:00.388469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.367651Z","title":"Review of visual odometry: types, approaches, challenges, and applications","venue":null,"work_id":"2600ab32-e778-46cf-a715-cb27201375e4","year":2016},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.353649Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:e6b3651ed8a94d5b347d3a89f7b1307cd4df5c57e2818ab19399eb0744775e9d","observation_id":"3674897a-0046-4cd9-bbcd-ebfc4d430199","resolution":{"observed_at":"2026-08-10T20:26:00.373633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.350939Z","title":"Is space-time attention all you need for video understanding? In ICML , volume 2, page 4, 2021","venue":null,"work_id":"347d79a5-165e-40bd-8f3e-ed581e8a0765","year":2021},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.358515Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:15e4d549471b76f060e2bb45bc6c10d9bcad6915bb266671a9888f241d4574f8","observation_id":"3383a22c-1bc8-4ab7-8e6e-355112b9f4ff","resolution":{"observed_at":"2026-08-10T20:26:00.356806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.336156Z","title":"The euroc micro aerial vehicle datasets","venue":null,"work_id":"6d94d8db-c114-414c-a1b9-3e7de01f8c5c","year":2016},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.363383Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:c5e7ae89ecbda434a50d18cb18e76663b7a10bcddc8b42af71241cff42d5a259","observation_id":"7e1632f0-a64d-4b42-a93f-75b9989bbf7c","resolution":{"observed_at":"2026-08-10T20:26:00.341123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.10773","last_updated":"2020-01-29T12:13:20Z","snapshot_observed_at":"2026-07-06T08:53:28.193420Z","submitted_at":"2020-01-29T12:13:20Z","title":"Virtual KITTI 2","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.10773","snapshot_observed_at":"2026-08-10T20:25:59.367622Z","title":"Virtual kitti 2","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.367622Z"},"links":{"cited_paper":"/paper/2001.10773","citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:2b5c27da9d9017ff06e636b62e0f413c9ee91b61df6bd64de7c4dbcf6f5ba873","observation_id":"bb509173-d454-4859-a7ed-691d558ad5bf","resolution":{"observed_at":"2026-08-10T20:25:59.367622Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.308430Z","title":"Mobile robot localization using gps, imu and visual odometry","venue":null,"work_id":"489151d3-e8b1-46bb-ab6b-e267ce13f1df","year":2019},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.373323Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:b19b591f1d76adbccad5de982211cc809af470de4d9f44241a2ab05e790ba0eb","observation_id":"81910d56-b194-4d72-865a-1bb9c794a077","resolution":{"observed_at":"2026-08-10T20:26:00.315674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.285859Z","title":"Retinexformer: One-stage retinex-based transformer for low-light image enhancement","venue":null,"work_id":"ab5c2153-4aeb-407d-acd4-21f25a38e882","year":2023},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.378453Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:52d4a66dc69dcbfed5aa3117a94083e56faca03a6e0df83e045766fece69ed67","observation_id":"b821a204-e0b6-467f-b099-b98c72c72e11","resolution":{"observed_at":"2026-08-10T20:26:00.292711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.265666Z","title":"Orb-slam3: An accurate open-source library for visual, visual--inertial, and multimap slam","venue":null,"work_id":"a3015f28-3bc0-4bab-b3a1-e42b9a979177","year":2021},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.382901Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:15d772824211e8cbfc3e2500ced399ddbcbc9b039b45fef5d7676e9964f16537","observation_id":"e53c2aa0-686b-4001-a41e-f5ec7c5a1527","resolution":{"observed_at":"2026-08-10T20:26:00.271493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.249065Z","title":"Initialization techniques for 3d slam: A survey on rotation estimation and its use in pose graph optimization","venue":null,"work_id":"459a233f-f98b-4c85-8ae5-1473ebd81049","year":2015},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.386570Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:b154b4db732141688c26649bab003c18fe6b55b8abdb5ccfa3be20391ebb60a8","observation_id":"86c23f57-ebe5-43bd-b4e2-07ee08d621e0","resolution":{"observed_at":"2026-08-10T20:26:00.255474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.390376Z","title":"Carla: An open urban driving simulator","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.390376Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:1045006a71aff85284cd63a15acfb0c9a1ae302d3037ad6447926852f4361a4c","observation_id":"2763c52c-72de-4a45-8d5a-6d339ababadf","resolution":{"observed_at":"2026-08-10T20:25:59.390376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-13T02:40:23.887636Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-10T20:25:59.394802Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.394802Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:2810dcd4baee8b441f32ca6e32e9ce9a8f20c3361171b349dfbf0952f49a61e6","observation_id":"4d441b68-c8b7-4363-99ab-0fc3e1830c4f","resolution":{"observed_at":"2026-08-10T20:25:59.394802Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.210108Z","title":"Lsd-slam: Large-scale direct monocular slam","venue":null,"work_id":"fbe890ed-d1c5-4907-8c09-58cfb1b43e21","year":2014},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.399751Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:0e77f1a78111aacf88f616471d7d7fc1e4f9dea78878bc09b8e6dc89d5687737","observation_id":"dd8b2096-49f2-430a-ad06-8666606dfef9","resolution":{"observed_at":"2026-08-10T20:26:00.216737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.186621Z","title":"Comparison of various slam systems for mobile robot in an indoor environment","venue":null,"work_id":"87485b1c-32f7-44c7-8566-5c2e33d522db","year":2018},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.403911Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:adccb40cb12cbff827de6200b7427da0aff3f19db955204a25ef312f03d3ab4f","observation_id":"82eec6d5-4cdb-4e11-bd35-5b4fcd3cf585","resolution":{"observed_at":"2026-08-10T20:26:00.194927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06121","last_updated":"2025-01-20T19:22:24Z","snapshot_observed_at":"2026-07-06T15:25:32.095335Z","submitted_at":"2023-05-10T13:11:23Z","title":"Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.06121","snapshot_observed_at":"2026-08-10T20:25:59.408454Z","title":"Transformer-based model for monocular visual odometry: a video understanding approach","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.408454Z"},"links":{"cited_paper":"/paper/2305.06121","citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:49fd036bcb1e1e1aaa10d9292f22213719ac992aeedcf1dcd4db9381b5579c68","observation_id":"09074a3b-1d56-4f00-a91a-744b459dd873","resolution":{"observed_at":"2026-08-10T20:25:59.408454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.162624Z","title":"islam: Imperative slam","venue":null,"work_id":"bf19deed-441b-4ca8-a811-bdfa933b5e40","year":2024},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.413310Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:2aad1f13a225c52b115e14df1d6b4f0cc5559e276c65cd5817146126c8222b73","observation_id":"bc79df78-391f-4709-8ed4-f9211e31243a","resolution":{"observed_at":"2026-08-10T20:26:00.167985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.140094Z","title":"Are we ready for autonomous driving? the kitti vision benchmark suite","venue":null,"work_id":"a42dabc7-97cf-45b7-bce4-b5864fb5bc9e","year":2012},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.417822Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:36e5525c265d4caca98c3ca0594c38ad5eef5ef8822acf220950ff88fff476f7","observation_id":"2c0bb98f-71af-455a-a4cd-8f828ebff826","resolution":{"observed_at":"2026-08-10T20:26:00.147703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.118119Z","title":"A review of visual inertial odometry from filtering and optimisation perspectives","venue":null,"work_id":"2f000039-62a7-4df1-a4cd-2abf61723a10","year":2015},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.421987Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:0f44de82bbad06790f733d222a1ba10b9525e9b7cd6493340519e4239830c3d1","observation_id":"4fff54a6-ce54-4521-a8e2-e7ad3bf23779","resolution":{"observed_at":"2026-08-10T20:26:00.125195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.12556","last_updated":"2023-07-10T13:54:04Z","snapshot_observed_at":"2026-08-05T14:26:27.363682Z","submitted_at":"2020-12-23T09:37:54Z","title":"A Survey on Visual Transformer","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.12556","snapshot_observed_at":"2026-08-10T20:25:59.426002Z","title":"A survey on visual transformer","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.426002Z"},"links":{"cited_paper":"/paper/2012.12556","citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:e059914c1b7c96fdc31c95fb5149b29d63e7fd1498843d17f7c71ff0f30a0e50","observation_id":"0cf33162-92b6-4cbf-ba78-d373dc775a17","resolution":{"observed_at":"2026-08-10T20:25:59.426002Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.097779Z","title":"A review of monocular visual odometry","venue":null,"work_id":"91b1a1a5-970f-4793-b9f4-632780f8c048","year":2020},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.430379Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:c1e3a280a770789988aae2e99f08722af84af9f0f94a050a988ca1c11beea9d5","observation_id":"c352b522-9439-4ceb-af2d-69dbd370db73","resolution":{"observed_at":"2026-08-10T20:26:00.103395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.079575Z","title":"Robocentric visual--inertial odometry","venue":null,"work_id":"ab201e98-17dd-4d34-9575-b081888a336b","year":2022},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.434207Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:4a924e03791eab4e45bd61e51b67478e3c6712ec334c3de9e29bd094e9c1f9f2","observation_id":"09ed5d5a-deee-4cfd-a0f0-a0f52a64ca23","resolution":{"observed_at":"2026-08-10T20:26:00.085307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.055819Z","title":"The tum high definition video datasets","venue":null,"work_id":"32568a56-7f41-4fee-aa88-d6592bef9a54","year":2012},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.438122Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:f35816f67eef774207d0b87ffb2f693a305e5887d2116d7e0ee07c1d2466d183","observation_id":"1122f1d1-e852-49ff-9a2c-ab8ab40366c9","resolution":{"observed_at":"2026-08-10T20:26:00.061330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.036440Z","title":"R 3 live: A robust, real-time, rgb-colored, lidar-inertial-visual tightly-coupled state estimation and mapping package","venue":null,"work_id":"e6852231-0457-4fbd-9326-7e9463ecd2f3","year":2022},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.441827Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:0901afcf7b628bc8349c6bd5ccc37543b76d7a8975edf66598e9a194e6499006","observation_id":"385ae39e-1b1c-4ff8-aa23-b6e56ac62bf9","resolution":{"observed_at":"2026-08-10T20:26:00.041976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:26:00.004782Z","title":"Deep patch visual slam","venue":null,"work_id":"ffab5487-43a9-465f-b03f-1066d5db068e","year":2025},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.445661Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:3a8c0ba493fb2e79a8235b9da60ed0c69ac71ff5e28fcfc651a7a07935cc4e77","observation_id":"2b4d86e5-43ac-4f20-9214-fecf58e3f655","resolution":{"observed_at":"2026-08-10T20:26:00.015059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.987740Z","title":"Graph representation learning and optimization for spherical emission source microscopy system","venue":null,"work_id":"fb5c4cee-ff59-4dc1-bf04-6aeecac40e8e","year":2024},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.449677Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:25364f4063dee01f0af30679b8cbfea77070994bb793db6fdf4c61cdbc60f965","observation_id":"417eace7-fa1d-4451-83bc-2ee06eb83e3e","resolution":{"observed_at":"2026-08-10T20:25:59.992435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.973412Z","title":"Ransac for robotic applications: A survey","venue":null,"work_id":"68b74902-5240-4d0c-8781-759b94089929","year":2022},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.453510Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:276bb6511e125a489b4b2a7aacf70888cace05a1a1a0ff4fcecf5ccd920e6d98","observation_id":"060f958e-5368-438d-b3c7-b16eb7f23700","resolution":{"observed_at":"2026-08-10T20:25:59.978232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.957832Z","title":"Modality-invariant visual odometry for embodied vision","venue":null,"work_id":"04435133-75f7-4691-b67a-dd008d0a245d","year":2023},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.457350Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:862920e1ffbec2492c6b597cee8015ef27d0300d1693489d2f6c02e8b616c192","observation_id":"4e79b581-5854-47e0-beef-b28f69cd809c","resolution":{"observed_at":"2026-08-10T20:25:59.963797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.939655Z","title":"A survey on odometry for autonomous navigation systems","venue":null,"work_id":"43a8f688-b041-4c6b-aacf-12062fc7fc41","year":2019},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.461597Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:40a28a2ad6894f29280b7f72d2903121c135be7570cf3f8221bbc610e38c9401","observation_id":"b7772034-329f-4b5b-a189-fda662bc6700","resolution":{"observed_at":"2026-08-10T20:25:59.945671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.925050Z","title":"Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras","venue":null,"work_id":"ea4cb3c0-345e-4d2d-bd1a-d8691ce02e83","year":2017},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.465547Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:23be22bf669c1f66287a8c38dffa80fe9c2b07621c8fddd31ddf0ff35dd742a7","observation_id":"a0e6fe5f-de6d-4aee-9f2b-ec82593d8e45","resolution":{"observed_at":"2026-08-10T20:25:59.930350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.906582Z","title":"Measuring robustness of visual slam","venue":null,"work_id":"6416cf0e-3c31-40c1-8414-05ebbf846ea8","year":2019},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.470538Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:c54d7e26fc376ec561741658bfcf612a9bb378597908ddf63940e37de32e6a9f","observation_id":"d2048ba0-0904-4d4c-b467-62eb9cad0b68","resolution":{"observed_at":"2026-08-10T20:25:59.912953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.888340Z","title":"Vins-mono: A robust and versatile monocular visual-inertial state estimator","venue":null,"work_id":"6d16ddb4-7e02-4932-94bf-b07d59dafafe","year":2018},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.475011Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:a747e3159021cd6ea5b6d4265536ab4f1fed15e44181b3dd8d384e53e40c1d55","observation_id":"f442e375-22b9-43e9-87f0-02e8a14ce844","resolution":{"observed_at":"2026-08-10T20:25:59.893147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.874652Z","title":"Fusemodnet: Real-time camera and lidar based moving object detection for robust low-light autonomous driving","venue":null,"work_id":"914c620d-69ef-4e75-8390-6d65d56ca97f","year":2019},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.479080Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:2648f4c1dfa56b5b1314a3e36c5edc92c7c97ffa8a92337589ec804344563445","observation_id":"576c9154-14ab-48dd-8c92-8c573cf7d40c","resolution":{"observed_at":"2026-08-10T20:25:59.879283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.483467Z","title":"U-net: Convolutional networks for biomedical image segmentation","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.483467Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:e999314b970d669aa1022e653c0e86ec1b7a49fff518cd70aa36bcca50194659","observation_id":"95be4312-8f1a-4e63-bfed-1ee4366c72aa","resolution":{"observed_at":"2026-08-10T20:25:59.483467Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.853002Z","title":"Superglue: Learning feature matching with graph neural networks","venue":null,"work_id":"1b27825b-9004-47d1-98fb-155013b02c5c","year":2020},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.487597Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:c2a8739e493e1d33d46fdd21ae0cb64b04c43e9367ac711eec10324916e88bd3","observation_id":"5d0b7051-4a52-47f1-80d6-428f4498ea45","resolution":{"observed_at":"2026-08-10T20:25:59.857590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.839775Z","title":"Shift: a synthetic driving dataset for continuous multi-task domain adaptation","venue":null,"work_id":"6c992d0f-1a98-4bb3-8382-79c49e37d094","year":2022},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.492118Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:ea4b91b938cf025ce01e4e455744dc2c8c13843072d6baeb387bc6f237da0d9e","observation_id":"0f6ad369-e2a0-4115-9972-1af445572881","resolution":{"observed_at":"2026-08-10T20:25:59.844319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.825938Z","title":"Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras","venue":null,"work_id":"efff5f17-2609-4be1-9a5f-25fbccebd832","year":2021},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.498393Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:0770320023daebf4185684a0975e492c50dfe697edb707a3dccefa339b3361cb","observation_id":"09e3309d-bbec-4a35-b800-45bca5f1b8d0","resolution":{"observed_at":"2026-08-10T20:25:59.830538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.812624Z","title":"Deep patch visual odometry","venue":null,"work_id":"a3c2776c-b6ea-430f-877d-e96bcbd46987","year":2024},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.503078Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:d77e457dd526a3ca79737b4fda55deb5a8a712fcd373d2e2dd031411b14f6605","observation_id":"52795d04-cbdc-404a-81da-a7ecdeefe189","resolution":{"observed_at":"2026-08-10T20:25:59.817481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.507907Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.507907Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:b808860154205e265ce8536b980dfb5a887317df24f4bbd29ef34bbaac9cc34b","observation_id":"f9727c23-c441-4a34-a2af-4b3e25221e32","resolution":{"observed_at":"2026-08-10T20:25:59.507907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.784857Z","title":"Stereo dso: Large-scale direct sparse visual odometry with stereo cameras","venue":null,"work_id":"c6599b82-55d2-4727-9345-d4d35641b969","year":2017},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.512652Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:feccc4414a6ce16c78f78cfe2e7a34180baebc4ab4598840901bb5fc702b7548","observation_id":"63c3ae97-a281-4d9b-adac-2cd2c1d85af7","resolution":{"observed_at":"2026-08-10T20:25:59.790197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.767539Z","title":"Deepvo: Towards end-to-end visual odometry with deep recurrent convolutional neural networks","venue":null,"work_id":"cc6c2b5e-74ae-45c4-82b6-fdc3330ad395","year":2017},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.517321Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:20858a7bb2976973078c256ae84f5fe425e4572fa9563b5b1d3f0e318172620c","observation_id":"f9756e3a-fe8e-4357-be52-efc34dd59565","resolution":{"observed_at":"2026-08-10T20:25:59.772605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.753479Z","title":"Tartanair: A dataset to push the limits of visual slam","venue":null,"work_id":"cd770593-59df-4020-a926-f93741e16ad5","year":2020},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.521187Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:f7a2c83fcc9ea1b90be8b274711645d3c597cd7bf4855574bd0839c04bc62c3c","observation_id":"ddfb72c5-ea27-4aad-a64e-d58f2f715b55","resolution":{"observed_at":"2026-08-10T20:25:59.757923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.734874Z","title":"Tartanvo: A generalizable learning-based vo","venue":null,"work_id":"b58c6601-ebf6-4e3c-b3e5-75443aaedf6a","year":2021},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.526027Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:a5af4c2dc0740e4abb9e0acef8f065a7a14a2342d4d770f7756852dcff4bd525","observation_id":"65c606a7-50ce-4bab-b3d6-efb061ec336e","resolution":{"observed_at":"2026-08-10T20:25:59.739938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.709451Z","title":"Pypose: A library for robot learning with physics-based optimization","venue":null,"work_id":"af3488e1-4d2d-4a04-bf77-8586a929acc4","year":2023},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.532294Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:c65d039ad7688390155e0cb748f4df3d35024432e869e18e025b5daa996986c8","observation_id":"f91904d2-59e8-499f-812a-2ffb65c30e75","resolution":{"observed_at":"2026-08-10T20:25:59.717350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.03677","last_updated":"2020-11-20T00:10:51Z","snapshot_observed_at":"2026-08-10T09:26:32.416783Z","submitted_at":"2020-06-05T20:49:49Z","title":"Visual Transformers: Token-based Image Representation and Processing for Computer Vision","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.03677","snapshot_observed_at":"2026-08-10T20:25:59.538557Z","title":"Visual transformers: Token-based image representation and processing for computer vision","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.538557Z"},"links":{"cited_paper":"/paper/2006.03677","citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:66de533aa61c426aa11ec4dc00e31fb6c357fb336d2cc2af0ddaed53071d8992","observation_id":"36094c41-ccbc-43f4-8e2f-5ecdca2e55ac","resolution":{"observed_at":"2026-08-10T20:25:59.538557Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:25:59.685691Z","title":"Visual odometry and 3d point clouds under low-light conditions","venue":null,"work_id":"9cf294d6-299c-4dfa-8cfc-d06ce25642cd","year":2018},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.543809Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:ceb617ce64b316cc95f92c8f389773a13b2ce84bd5549e04bcdaf82d16b34655","observation_id":"d304733b-b2ef-4f82-b533-2582c3142858","resolution":{"observed_at":"2026-08-10T20:25:59.694385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.02382","last_updated":"2024-05-10T10:54:03Z","snapshot_observed_at":"2026-08-13T00:10:20.457741Z","submitted_at":"2024-05-10T10:54:03Z","title":"Light-SLAM: A Robust Deep-Learning Visual SLAM System Based on LightGlue under Challenging Lighting Conditions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.02382","snapshot_observed_at":"2026-08-10T20:25:59.548644Z","title":"Light-slam: A robust deep-learning visual slam system based on lightglue under challenging lighting conditions","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.548644Z"},"links":{"cited_paper":"/paper/2407.02382","citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:01b30537244b9dada445cde8b49c8b2bdd524af7ff0677fddf96da39d24f9bfd","observation_id":"6ffca5da-3ba3-46fe-968b-2b29d6ed6349","resolution":{"observed_at":"2026-08-10T20:25:59.548644Z","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":"2026-08-10T20:25:59.553801Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module","version":4},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-10T20:25:59.553801Z"},"links":{"citing_paper":"/paper/2501.08659"},"observation_digest":"sha256:9d8f1924bba92bb4d4c94ab92db8b51775cf710288911dea9e0f618babcb3d63","observation_id":"c1276cef-d444-441f-b3e6-0f3887e4865a","resolution":{"observed_at":"2026-08-10T20:25:59.553801Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.08659","last_updated":"2025-04-30T01:36:04Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T22:42:55.031708Z","submitted_at":"2025-01-15T08:50:52Z","title":"BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":0,"verified_fuzzy":37},"total_outbound_references":47},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2501.08659."}