{"as_of":"2026-08-21T14:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:57cc945694b10c8a57324622315002a635b88958af8242d595fbfd706facbbce","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:40:21.964358Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/2504.12109/citation-record","integrity":"/paper/2504.12109/integrity","json":"/paper/2504.12109/citation-record.json","paper":"/paper/2504.12109"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:40:22.454928Z","title":"Scene parsing through ade20k dataset,","venue":null,"work_id":"cc3a75fb-4d20-4c0a-84a1-9f4918114e3c","year":2017},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.837629Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:552f6c44ee9522b2b43cede7e2cbf9e0f0f8bf562b0e41c10a1c2dadd05b5c55","observation_id":"d8afe220-e437-4d48-88dd-62c4495313fd","resolution":{"observed_at":"2026-08-16T12:40:22.459270Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:21.842490Z","title":"Bdd100k: A diverse driving dataset for heterogeneous multitask learning,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.842490Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:88093591734a10759a5d3435d8eceb5ccdfae61ff6318576b7d8ed70290a5f49","observation_id":"fc4e2086-6f92-4ee3-b02f-90e0814ee3be","resolution":{"observed_at":"2026-08-16T12:40:21.842490Z","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":"2026-08-16T12:40:22.436200Z","title":"Adaptive multi-lane detection based on robust instance segmentation for intelligent vehicles,","venue":null,"work_id":"772f42c5-2895-4fb9-8a84-539b7686cc7e","year":2022},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.846703Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:026badfafb70896337b5656080ac987929ff39f939805a0ae8afe24426e65cb8","observation_id":"abd34575-9e2c-4965-b09a-721d9155cd70","resolution":{"observed_at":"2026-08-16T12:40:22.440261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:21.850906Z","title":"V-strong: Visual self-supervised traversability learning for off-road navigation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.850906Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:017bb89d6fe8510267fa4885b3b56fb22cf1a83170da8d907b0ef22dcfe096f7","observation_id":"05abf7c9-2914-4225-bb59-85db54549608","resolution":{"observed_at":"2026-08-16T12:40:21.850906Z","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":"2026-08-16T12:40:22.415105Z","title":"Rellis-3d dataset: Data, benchmarks and analysis,","venue":null,"work_id":"69c48873-2f94-4a53-9b74-801aa1c4a923","year":2021},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.854918Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:08817b72d61594a59e9425eddecba124f4c3de16d5312fb79b4255d77c7e79ae","observation_id":"003cb641-4932-4d53-9a29-2615bfd0418b","resolution":{"observed_at":"2026-08-16T12:40:22.420094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01913","last_updated":"2024-02-02T21:31:50Z","snapshot_observed_at":"2026-08-20T02:50:18.931170Z","submitted_at":"2024-02-02T21:31:50Z","title":"TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01913","snapshot_observed_at":"2026-08-16T12:40:21.859525Z","title":"Tartandrive 2.0: More modalities and better infrastructure to further self-supervised learning research in off-road driving tasks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.859525Z"},"links":{"cited_paper":"/paper/2402.01913","citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:f6c3057dde9ddac7853041901adc8ec0d2bfd41d602673b55095e02238924c0a","observation_id":"d5721ec1-1375-4f80-9eb6-150345a4ac87","resolution":{"observed_at":"2026-08-16T12:40:21.859525Z","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":"2026-08-16T12:40:22.402808Z","title":"The goose dataset for perception in unstructured environments,","venue":null,"work_id":"7e8d4da7-a0f1-483b-8136-8a9abe7cb596","year":2024},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.865006Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:0edf5124f64553d445c7eba48e7cb397daed6f0e88c472067d948afd8f2462c0","observation_id":"8cf0b855-78a9-46ac-88eb-9815e866187f","resolution":{"observed_at":"2026-08-16T12:40:22.407262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.02642","last_updated":"2024-03-05T04:20:03Z","snapshot_observed_at":"2026-08-20T21:55:23.197221Z","submitted_at":"2024-03-05T04:20:03Z","title":"UFO: Uncertainty-aware LiDAR-image Fusion for Off-road Semantic Terrain Map Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.02642","snapshot_observed_at":"2026-08-16T12:40:21.868747Z","title":"Ufo: Uncertainty-aware lidar-image fusion for off-road semantic terrain map estimation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.868747Z"},"links":{"cited_paper":"/paper/2403.02642","citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:cf42981e0b37759c1af884387bb0a47cdc64af6ddb254f7bb477804f02599e39","observation_id":"2e29cb6f-fdbd-4ccd-9109-194b4e40f218","resolution":{"observed_at":"2026-08-16T12:40:21.868747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02871","last_updated":"2023-07-06T09:15:38Z","snapshot_observed_at":"2026-08-19T13:52:28.658013Z","submitted_at":"2023-07-06T09:15:38Z","title":"Contrastive Label Disambiguation for Self-Supervised Terrain Traversability Learning in Off-Road Environments","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02871","snapshot_observed_at":"2026-08-16T12:40:21.872855Z","title":"Contrastive label disambiguation for self-supervised terrain traversability learning in off-road environments,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.872855Z"},"links":{"cited_paper":"/paper/2307.02871","citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:8fbe57055bcaaa7e6a5f82fe4090b3c7d3a61fc5ed66100efe131f74f9ea3d6f","observation_id":"a629a6f3-d13b-4418-9e85-5a73247ca968","resolution":{"observed_at":"2026-08-16T12:40:21.872855Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14070","last_updated":"2024-09-21T08:56:34Z","snapshot_observed_at":"2026-08-20T16:15:42.327450Z","submitted_at":"2024-09-21T08:56:34Z","title":"IMOST: Incremental Memory Mechanism with Online Self-Supervision for Continual Traversability Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.14070","snapshot_observed_at":"2026-08-16T12:40:21.877230Z","title":"Imost: Incre- mental memory mechanism with online self-supervision for continual traversability learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.877230Z"},"links":{"cited_paper":"/paper/2409.14070","citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:4a9df0922aae34a7b57ba4b8466126f11a1a76c2c1f0dd01bb503a335070ed16","observation_id":"643f92de-4903-4aea-adef-a0a48aeaf261","resolution":{"observed_at":"2026-08-16T12:40:21.877230Z","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":"2026-08-16T12:40:22.389064Z","title":"Sterling: Self-supervised terrain representation learning from uncon- strained robot experience,","venue":null,"work_id":"7499f29c-452b-42a1-822d-033bc71e0890","year":2023},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.881170Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:3f35bafa7a564608232868ad6ea239664bc63ecdb1da3a8c0bd67c981f8e15f4","observation_id":"585c44e8-c7a9-49ba-a56d-3177c791f879","resolution":{"observed_at":"2026-08-16T12:40:22.394393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:22.377119Z","title":"Terrain traversability prediction through self- supervised learning and unsupervised domain adaptation on synthetic data,","venue":null,"work_id":"9889a6e2-d949-4520-a5b2-b2dabd7559b9","year":2024},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.884824Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:4059dfe55a4c041ae0f92370c2aadd3dbbcaba50b08b7dbf1737200691844780","observation_id":"8b5b2383-2916-4630-acc1-40af99dd2a9a","resolution":{"observed_at":"2026-08-16T12:40:22.381301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:22.365378Z","title":"Wayfast: Navigation with predictive traversability in the field,","venue":null,"work_id":"27fadb1f-9c9a-4fd8-9d84-0070bd8ab4a5","year":2022},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.888635Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:e3610c7937086e2e06f82a816329b9debdab2f3f14daa565d500b86c7d9a43b0","observation_id":"c5fc77ce-8768-411a-945a-049046a2cf88","resolution":{"observed_at":"2026-08-16T12:40:22.369377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.15771","last_updated":"2023-05-29T23:59:03Z","snapshot_observed_at":"2026-08-19T23:36:15.599068Z","submitted_at":"2023-03-28T07:15:54Z","title":"TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.15771","snapshot_observed_at":"2026-08-16T12:40:21.892493Z","title":"Terrainnet: Visual modeling of complex terrain for high-speed, off-road navigation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.892493Z"},"links":{"cited_paper":"/paper/2303.15771","citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:10f56bd703408683c9658c31f3df507d0a724cafeb1ed878a9859bc80838dc7f","observation_id":"9e9cb22c-4cfc-4d8e-aa11-97fe72ce160b","resolution":{"observed_at":"2026-08-16T12:40:21.892493Z","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":"2026-08-16T12:40:21.896686Z","title":"Learning off-road terrain traversability with self-supervisions only,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.896686Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:c2052172f097228fec3de57c15726dd2eaff51f498fe75a43c1f715351ee95e7","observation_id":"d2237189-547e-42f9-b0b5-ae4e8f371748","resolution":{"observed_at":"2026-08-16T12:40:21.896686Z","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":"2026-08-16T12:40:22.344002Z","title":"How does it feel? self-supervised costmap learning for off-road vehicle traversability,","venue":null,"work_id":"ae220c49-2b43-48a8-98e3-b9869457e61d","year":2023},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.900293Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:77a807e57f7015de2a788d9e1dd17a998067daebeca111b5c356985ddd022899","observation_id":"5f657913-bf4f-4585-9bfa-cfbc4e62b04f","resolution":{"observed_at":"2026-08-16T12:40:22.348670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:22.330698Z","title":"Self-supervised traversability prediction by learning to reconstruct safe terrain,","venue":null,"work_id":"208aab76-c938-4d51-985f-fe5188626da3","year":2022},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.904139Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:599c810e34657bccc62b6028e74c0f7f73638d5a95e9a7c2ba09aea37fdcd8c4","observation_id":"3c6dd62c-6b7b-425c-ae68-4c12c17f1982","resolution":{"observed_at":"2026-08-16T12:40:22.334948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:22.312452Z","title":"Fuzzy based traversabil- ity analysis for a mobile robot on rough terrain,","venue":null,"work_id":"3bee429b-8567-4b5f-a74a-b5fad2d2c38c","year":2015},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.908013Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:275bcb8083b811df9248024debac875982fb7d440204f5a85a24024498abfa0f","observation_id":"705bc04e-a2f0-4adf-9ad3-26285fa163ad","resolution":{"observed_at":"2026-08-16T12:40:22.318287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:22.297604Z","title":"Rough terrain motion planning for actively reconfigurable mobile robots,","venue":null,"work_id":"17fc28df-2d03-445d-8954-347c25d6916c","year":2015},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.911952Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:bdf284141ee50cfae6a565289585dbc5bf2c9df2b964b1b9e8bbcc092308859e","observation_id":"8fddd657-76b2-4b90-9e78-d66b8e66a359","resolution":{"observed_at":"2026-08-16T12:40:22.302426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:22.284150Z","title":"Navigation planning for legged robots in challenging terrain,","venue":null,"work_id":"67cfae1c-5fd1-4a3b-a739-d15a80b240ec","year":2016},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.915687Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:1d5357af5ae69714d6a4df63af4b12be414896b55361270c660e53640acffab6","observation_id":"b8f777b2-e795-4ff9-99e4-19e8e0f33587","resolution":{"observed_at":"2026-08-16T12:40:22.289056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:22.269162Z","title":"Probabilistic traversability map generation using 3d-lidar and camera,","venue":null,"work_id":"cd02c838-c7c2-4fce-9195-58e1858c46a0","year":2016},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.919682Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:36fdb630273097f3efba1a23f59c3b686048bb729952594e32c1b3b232b33533","observation_id":"09eb3085-4db7-4a03-9b46-8f2889adddce","resolution":{"observed_at":"2026-08-16T12:40:22.274469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:22.254673Z","title":"Fast terrain classification using variable-length representation for autonomous nav- igation,","venue":null,"work_id":"f8ea497c-198d-42ea-aa1f-b251df0292c1","year":2007},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.923320Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:8f0249d4af77b6d9aa2b65a28e59754c144ee98d918f21f08e1c826180785fa4","observation_id":"50e4fd57-5468-4b2e-8c10-96877f546fb0","resolution":{"observed_at":"2026-08-16T12:40:22.259894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:22.240647Z","title":"A survey on terrain traversability analysis for autonomous ground vehicles: Methods, sensors, and challenges","venue":null,"work_id":"a448504a-e42c-4ede-97f9-d3e41be17428","year":2022},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.926980Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:bebe100255604035b36aaff22142d266aa55c399509f0c53bd33fe3428d6b55f","observation_id":"6a6962a7-828f-4c6d-8ecf-a70280996fa4","resolution":{"observed_at":"2026-08-16T12:40:22.245628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:22.227231Z","title":"Terrain segmentation and roughness estimation using rgb data: Path planning application on the centauro robot,","venue":null,"work_id":"636c97ab-1acb-476f-9d7c-8c59fc461927","year":2019},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.930451Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:41115bf45278fa13412a851d8f1233ec7ca1cf5aa8a510ae0a271ea81db309cb","observation_id":"f54a0c6a-d235-45cb-a92f-13f407eabe3a","resolution":{"observed_at":"2026-08-16T12:40:22.232020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:22.211608Z","title":"Ga-nav: Efficient terrain segmentation for robot navigation in unstructured outdoor environments,","venue":null,"work_id":"3cf54e28-0307-4eb4-8e0d-db902063d7f1","year":2022},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.934440Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:1fbf6749f88e5d90def9f00b4328212b5b0b40c26e46d1b45156a0c96d702628","observation_id":"51a26b24-7da4-4556-9867-bfc0923a2b43","resolution":{"observed_at":"2026-08-16T12:40:22.217026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:22.196838Z","title":"Passable area detection in off-road environments based on improved pspnet,","venue":null,"work_id":"9e14fb3d-a0ea-43da-b687-c69c1dd2576f","year":2023},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.938036Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:b37c75e5b75a33c40cb1d26da1f995d211598bd2a9efa076001b2ccd890b44c1","observation_id":"8a702995-8b16-4d63-9c47-e985c5f6bf03","resolution":{"observed_at":"2026-08-16T12:40:22.201456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:21.941657Z","title":"Autonomous driving in unstructured environ- ments: How far have we come?","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.941657Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:5c40740dc45c6b96db964736735443acc3775fa559f97ffef37a563e51cd3cd9","observation_id":"4a9d66d9-2d21-4abc-bc36-39421872c028","resolution":{"observed_at":"2026-08-16T12:40:21.941657Z","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":"2026-08-16T12:40:21.945345Z","title":"Where should i walk? predicting terrain properties from images via self-supervised learning,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.945345Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:e5cd7dae454f6e380c45149313b7a0028c5ee35b2b2e8b35cabdd4d44e837b8f","observation_id":"459174be-ec25-4456-b760-85d2e77ede9b","resolution":{"observed_at":"2026-08-16T12:40:21.945345Z","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":"2026-08-16T12:40:21.949216Z","title":"Memorizing normality to detect anomaly: Memory- augmented deep autoencoder for unsupervised anomaly detection,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.949216Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:3ca9ff922c20d19967afd7c50a417ddda970adf15d8e447f202c1d4faaf9300a","observation_id":"9b0b3408-05dc-4086-8ff8-87d783c3e6b3","resolution":{"observed_at":"2026-08-16T12:40:21.949216Z","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":"2026-08-16T12:40:22.165831Z","title":"Traversability analysis for autonomous driving in complex environment: A lidar-based terrain modeling approach,","venue":null,"work_id":"c1e68786-9150-44fb-b74f-adb6b150560e","year":2023},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.952876Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:20b8cc948dc6c7761f98adb9940d1de26b40ade078fe1e8f37b3e5f183ca233c","observation_id":"ea5ebef3-449d-4504-8549-51dd515abf01","resolution":{"observed_at":"2026-08-16T12:40:22.170717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:22.150852Z","title":"Learning representation for clustering via prototype scattering and positive sampling,","venue":null,"work_id":"c3d60047-26f7-47c5-87ec-8c388d308a1f","year":2022},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.957009Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:36ca75f63ebd826cd38185969536703c1769e08c46d822f55afb77e3e275bb46","observation_id":"986906a8-73c2-4eb0-a168-9ee31b75c82c","resolution":{"observed_at":"2026-08-16T12:40:22.155778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:22.127777Z","title":"Prototypical contrastive learning of unsupervised representations (2020),","venue":null,"work_id":"fd40300f-60ec-44b0-9e4b-6eeaf6fbd06c","year":2020},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.960639Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:1c15900b255a3297e70d1e6a850b0d0af27de121c2ee0873a0e44c440cfc01d1","observation_id":"4704b9e0-b97e-4369-b106-22314e248662","resolution":{"observed_at":"2026-08-16T12:40:22.140498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T12:40:21.964358Z","title":"Pico: Contrastive label disambiguation for partial label learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T12:40:21.964358Z"},"links":{"citing_paper":"/paper/2504.12109"},"observation_digest":"sha256:fbcc36fe64e0c6bcd7121667219df7da9591ceed6c0fc0ccdb006b8124f6d3cf","observation_id":"e1701972-08d4-4b1f-9dae-f9385948f6db","resolution":{"observed_at":"2026-08-16T12:40:21.964358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2504.12109","last_updated":"2025-04-16T14:17:31Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-20T02:51:12.474836Z","submitted_at":"2025-04-16T14:17:31Z","title":"Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":0,"verified_fuzzy":21},"total_outbound_references":33},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2504.12109."}