{"as_of":"2026-08-21T18:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:588ea87db440e77b7635edb6e2459566c604f566281c8d670b7d9fa211393ea5","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":"2026-08-12T11:47:25.524260Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:28:27.825638Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T13:30:19.566586Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"cited_work":{"arxiv_id":"2411.17886","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.17886","snapshot_observed_at":"2026-08-07T13:30:19.566586Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","venue":"cs.CV","work_id":"2c21cea9-b55b-430b-b385-b5d621454999","year":2024},"citing_paper":{"arxiv_id":"2505.21743","last_updated":"2025-05-27T20:33:07Z","snapshot_observed_at":"2026-08-14T14:08:02.127708Z","submitted_at":"2025-05-27T20:33:07Z","title":"Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T13:28:27.825638Z"},"links":{"cited_paper":"/paper/2411.17886","citing_paper":"/paper/2505.21743"},"observation_digest":"sha256:6578f85ee23508c4412a8b9719f030b57c883b26873ec81936f5ba11d24e9744","observation_id":"16568c93-a05a-49a2-bd3b-4c16fbee2bf2","resolution":{"observed_at":"2026-08-07T13:30:19.670993Z","resolver_source":"local_arxiv","status":"verified_exact"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2411.17886/citation-record","integrity":"/paper/2411.17886/integrity","json":"/paper/2411.17886/citation-record.json","paper":"/paper/2411.17886"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-17T09:58:46.058102Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-12T11:47:25.378910Z","title":"Gpt-4 technical report","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.378910Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:0a35c83e37cafc95a4503d4dd468e88ba6dc96d6611eb294df2da652028f5896","observation_id":"063201c3-3644-4932-8e47-a7faefad5140","resolution":{"observed_at":"2026-08-12T11:47:25.378910Z","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":"2026-08-12T11:47:26.042010Z","title":"What characterizes” situations” in situation awareness? findings from a human- centered investigation","venue":null,"work_id":"c449e488-a0ed-4cd0-990d-3c7d7c5fecee","year":2024},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.384350Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:de5298afba27761daaf66cf7ac7426fe5de7f5084bc105d48ba3a51c14f75137","observation_id":"212614d8-fc73-4331-a8c2-f21a80d5581b","resolution":{"observed_at":"2026-08-12T11:47:26.046813Z","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":"2026-08-12T11:47:26.027215Z","title":"The cityscapes dataset for semantic urban scene understanding","venue":null,"work_id":"9d76df6c-50be-4808-9745-dab722a7fe8d","year":2016},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.389158Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:cacaeecd23a6c236402870209a41123af7f55166677ee30203d39cb609ab6084","observation_id":"3afcd5d2-b352-4896-ab55-094c01187e47","resolution":{"observed_at":"2026-08-12T11:47:26.031995Z","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":"2026-08-12T11:47:26.010417Z","title":"Drivellm: Charting the path toward full au- tonomous driving with large language models","venue":null,"work_id":"dfec5a79-6112-4d0e-b415-1bf3d3731b9b","year":2023},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.393815Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:76a8158009bcf70958109f7b493f82b80265130e2770ae9d0bb514d21c0da883","observation_id":"6a8a9fbf-fd32-4b06-8455-dc71f4912d2b","resolution":{"observed_at":"2026-08-12T11:47:26.015963Z","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":"2026-08-12T11:47:25.994229Z","title":"Mit-avt clustered driving scene dataset: Evaluating perception systems in real-world natu- ralistic driving scenarios","venue":null,"work_id":"bd8ed4f5-3bae-443a-8691-72d5f6349d67","year":2020},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.398549Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:98bd48723daa2e467771f8175298bd14c29074f5c17b82f77199a06eeb181f91","observation_id":"34d1169d-a2ae-46e3-9b42-2d9566f85478","resolution":{"observed_at":"2026-08-12T11:47:25.999185Z","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":"2026-08-12T11:47:25.978714Z","title":"Mit ad- vanced vehicle technology study: Large-scale naturalistic driving study of driver behavior and interaction with automa- tion","venue":null,"work_id":"3984bb5b-d23e-42cc-b8c1-0464db551b89","year":2019},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.403371Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:fde2a81ed3f87ef13450653ddd4b868210d5a6bdbe324be7e9565f75601560cb","observation_id":"b660a877-e839-4b6b-b2ef-7b3ee00dafa1","resolution":{"observed_at":"2026-08-12T11:47:25.983878Z","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":"2026-08-12T11:47:25.962713Z","title":"Environmental factors affecting the frequency of road traffic accidents: a case study of sub-urban area of pakistan","venue":null,"work_id":"d4bfa255-a97c-47e0-88d7-5c95ad812682","year":2019},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.408093Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:5689f20240bd73b2dd6bee721d7c2221cc72ccf9b5abb236b516282def637d01","observation_id":"bad740c5-c812-4e36-8931-2a8794a70da3","resolution":{"observed_at":"2026-08-12T11:47:25.968004Z","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":"2026-08-12T11:47:25.947387Z","title":"The effect of traffic on situation aware- ness and mental workload: Simulator-based study","venue":null,"work_id":"a6f7bdbd-6586-4117-99e6-cf874560879d","year":2007},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.413280Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:db67719626c8865e3b3ef12f6cfdd91f7d9ca273fa43549c4e9da64e7fa27dfe","observation_id":"6bd94cd6-cea0-4851-b678-d9ba1ae35083","resolution":{"observed_at":"2026-08-12T11:47:25.952536Z","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":"2026-08-12T11:47:25.931590Z","title":"An image-based crash risk prediction model using visual attention mapping and a deep convolutional neural network","venue":null,"work_id":"68957c8a-fda1-4e42-be4c-3f1d920ebd66","year":2023},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.417718Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:e0e1a36025bc1c392c5329b31aeb94a87f94fb0da20814436c95c04693071e27","observation_id":"b1c304ac-9ff2-46f2-83b7-47b6cd8bbe09","resolution":{"observed_at":"2026-08-12T11:47:25.936854Z","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":"2026-08-12T11:47:25.421924Z","title":"Oneformer: One transformer to rule universal image segmentation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.421924Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:99689024935bcc3c56c16d8456b6d84d06cdbbb2018cafe33c4d15bf9c9500a8","observation_id":"8515ff78-8a8d-49dc-9e0d-697646c7466c","resolution":{"observed_at":"2026-08-12T11:47:25.421924Z","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":"2026-08-12T11:47:25.905331Z","title":"Effects of hazard exposure and roadway com- plexity on young and older driver situation awareness and performance","venue":null,"work_id":"a0ccb283-8296-45ac-a2bf-b44f08ab645f","year":2012},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.426188Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:07c92d87e6df777f8f11512b2b6af71d2425072062f843e245c00b56efaaf321","observation_id":"b04d2b39-6665-42e2-a75e-58217981a455","resolution":{"observed_at":"2026-08-12T11:47:25.910761Z","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":"2106.10319","last_updated":"2021-06-18T19:07:59Z","snapshot_observed_at":"2026-08-16T18:16:01.375338Z","submitted_at":"2021-06-18T19:07:59Z","title":"A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and prevention","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.10319","snapshot_observed_at":"2026-08-12T11:47:25.430491Z","title":"A system of vision sensor based deep neu- ral networks for complex driving scene analysis in support of crash risk assessment and prevention","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.430491Z"},"links":{"cited_paper":"/paper/2106.10319","citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:339aa842628ea23df291405024e54715793d7800b2f58d70b354e6ee63b1c6f4","observation_id":"bb426992-a593-4849-973e-a3329c2ce789","resolution":{"observed_at":"2026-08-12T11:47:25.430491Z","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":"2026-08-12T11:47:25.888932Z","title":"Evaluating the nature of distractive driving factors towards road traffic accident","venue":null,"work_id":"d6fca8e2-e0aa-4fb4-9682-5ea3d8d4d63b","year":2020},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.435096Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:a8a3c3e8df023bec1fbf7f2ce89947cf7514d93253c2c570e22556ea9fb03588","observation_id":"30eac131-dbc6-42eb-ac2b-d96fbb4186f2","resolution":{"observed_at":"2026-08-12T11:47:25.894044Z","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":"2026-08-12T11:47:25.874264Z","title":"Panoptic segmentation","venue":null,"work_id":"c59d54c0-e9c9-4e92-8dd8-6f864836d0ab","year":2019},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.439626Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:2f9b6b3460ad1c1a3aee561a86a07729a120106d0f6759dbd10e874adedfb1bc","observation_id":"f8e5c6f1-d422-4f56-99f6-5f79a9abb5be","resolution":{"observed_at":"2026-08-12T11:47:25.878832Z","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":"2026-08-12T11:47:25.858567Z","title":"Lundberg, Gabriel Erion, Hugh Chen, Alex De- Grave, Jordan M","venue":null,"work_id":"42b9b58c-8e50-4ba5-9134-27c0433deb62","year":2020},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.444000Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:8819e231392319051da31f2f41e6c65f673138881659dfa4e08890fe2b6f6275","observation_id":"d87da1da-7d39-4253-9ab7-4a462baeb7a3","resolution":{"observed_at":"2026-08-12T11:47:25.863497Z","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":"2026-08-12T11:47:25.843445Z","title":"Note on the sampling error of the differ- ence between correlated proportions or percentages","venue":null,"work_id":"90000684-04a1-4038-8fce-778ce4d301b6","year":1947},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.448406Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:315f7c84a317d0e860e61038db47b9a80ca01066037e5cce31cce8c46fac8ef8","observation_id":"cd88b2c0-25ce-4cc2-85a4-eff63b44572a","resolution":{"observed_at":"2026-08-12T11:47:25.848190Z","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":"2026-08-12T11:47:25.828172Z","title":"Urban street structure and traffic safety.Journal of safety research, 62:63–71, 2017","venue":null,"work_id":"5cf7566e-1b61-4d83-a22f-0acd05cfcc5a","year":2017},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.452860Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:205afe402beecd9c26c5a81d712f8a1b4ada0aba1b86ed2341b24f5cfa6563e2","observation_id":"0a9b7a7c-9303-4b33-8d49-557776e87cf5","resolution":{"observed_at":"2026-08-12T11:47:25.832828Z","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":"2026-08-12T11:47:25.456990Z","title":"Most: Multi-modality scene to- kenization for motion prediction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.456990Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:d3bb6510e1ccd379f8c7450dcf7e15c56414bccbcdce06fc2f8e4975d7137a31","observation_id":"d90371a5-53e7-49d6-96e1-4f49532f8ae0","resolution":{"observed_at":"2026-08-12T11:47:25.456990Z","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":"2026-08-12T11:47:25.802704Z","title":"Impact of road infrastructure land use and traffic operational characteristics on pedestrian fatality risk: A case study of kolkata, india","venue":null,"work_id":"01f010a6-ea49-4f2e-8970-caa4ed758b42","year":2019},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.461191Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:1be7835f872fc0c3b97ebc440aef4273155847f65bc65e0918bae4c507b687eb","observation_id":"b9e3cfd8-b7e5-4602-b68f-099bcb6d0fe1","resolution":{"observed_at":"2026-08-12T11:47:25.807687Z","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":"2026-08-12T11:47:25.788231Z","title":"The impact of environmental complexity on drivers’ situation awareness","venue":null,"work_id":"67ae6ff4-3e4c-4f71-abfd-f5b0b28b049e","year":2022},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.465543Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:274960b6b470ca09802c3086fbfcf931a78e441050b4866c768d31a4fd7f07e7","observation_id":"21bdd024-9cca-429e-ba41-70ba47b8c502","resolution":{"observed_at":"2026-08-12T11:47:25.793050Z","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":"2026-08-12T11:47:25.773380Z","title":"Modeling the accuracy of traffic crash prediction models","venue":null,"work_id":"d0d21104-cf91-47ab-a625-9bc29eda19f2","year":2022},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.469737Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:2dd7b1268edb9798bcb33091e8a59a80f9e14b538ff7459d91d1f15e8b95e85c","observation_id":"f56199e8-684b-4e06-9795-43df71b2ae5a","resolution":{"observed_at":"2026-08-12T11:47:25.778349Z","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":"2026-08-12T11:47:25.759113Z","title":"Critical reasons for crashes investigated in the national motor vehicle crash causation survey","venue":null,"work_id":"70f0a8d3-5af1-4920-9662-a7c4785b185b","year":2015},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.474222Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:53414260da47489d9a534f82abb297c0b7e9765724ed517a025129c6f6949053","observation_id":"b30381f3-d854-46a8-9caa-39a26344fa48","resolution":{"observed_at":"2026-08-12T11:47:25.763731Z","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":"2409.00301","last_updated":"2024-08-30T23:59:12Z","snapshot_observed_at":"2026-08-19T15:48:48.796434Z","submitted_at":"2024-08-30T23:59:12Z","title":"ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language Models","version":1},"cited_work":{"arxiv_id":"2409.00301","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.00301","snapshot_observed_at":"2026-08-12T11:47:25.576297Z","title":"ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language Models","venue":"cs.CV","work_id":"00d046ce-62c8-4b15-9fae-d37720023ec3","year":2024},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.479518Z"},"links":{"cited_paper":"/paper/2409.00301","citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:60d5b9980c73a652be946e12e7bf56a8dcdf5a3c4ce5998d2acbed720d8ae034","observation_id":"5983325a-28a4-4fca-8e6e-af350c1b73c5","resolution":{"observed_at":"2026-08-12T11:47:25.582886Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-12T11:47:25.743550Z","title":"The effect of traffic and road characteristics on road safety: A review and future research direction","venue":null,"work_id":"323cb6b6-0609-4580-b028-833b18ce73b5","year":2013},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.484438Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:c8c864781b8485b513f468d1de231caf336c21a30f189a5610dd86fb7decd0dc","observation_id":"56696c0a-2ee8-449f-838d-b747c5c3bf5b","resolution":{"observed_at":"2026-08-12T11:47:25.749203Z","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":"2026-08-12T11:47:25.728655Z","title":"Identifying crash- prone traffic conditions under different weather on freeways","venue":null,"work_id":"02f62b44-0973-4cae-a349-6d22193448b4","year":2013},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.488637Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:4f9624081733992258ced46a247ad2c2b4fed856c8026b7ec765baf5fc444a8c","observation_id":"bb7250af-3c18-40cb-a51d-993dcc0a351e","resolution":{"observed_at":"2026-08-12T11:47:25.733443Z","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":"2026-08-12T11:47:25.713685Z","title":"Associ- ation rule analysis of factors contributing to extraordinarily severe traffic crashes in china.Journal of safety research, 67: 65–75, 2018","venue":null,"work_id":"02f03455-e2d3-4f5f-a7b0-779dd5858a9d","year":2018},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.492946Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:5d1ebfeb85f85ebb47392e06e44198d2588d725f9a0db5729b9247e34a9cf32b","observation_id":"5b53679d-cb95-43b9-9f3f-772d977afdae","resolution":{"observed_at":"2026-08-12T11:47:25.718795Z","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":"2026-08-12T11:47:25.697974Z","title":"Takeover context matters: Characterising context of takeovers in naturalistic driving using super cruise and au- topilot","venue":null,"work_id":"274d8498-4fd7-4a49-be40-ee096829a4cd","year":2023},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.497444Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:02b75d8c9bfcb40d9c71d15bc744549960518c75547ddf6b9e479eec53eba542","observation_id":"af1f00a0-0ab9-44b9-bc6e-4d5c8b1aefb2","resolution":{"observed_at":"2026-08-12T11:47:25.702644Z","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":"2405.13547","last_updated":"2024-05-22T11:32:37Z","snapshot_observed_at":"2026-08-16T13:50:40.243322Z","submitted_at":"2024-05-22T11:32:37Z","title":"HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13547","snapshot_observed_at":"2026-08-12T11:47:25.501726Z","title":"High- wayllm: Decision-making and navigation in highway driv- ing with rl-informed language model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.501726Z"},"links":{"cited_paper":"/paper/2405.13547","citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:10ff77cba2c6bfd072cca904e8f5dc7d90971794c930ecd38f8880609ea5d06b","observation_id":"464c8fa0-d91b-4a50-a26b-535d2d4df684","resolution":{"observed_at":"2026-08-12T11:47:25.501726Z","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":"2026-08-12T11:47:25.682789Z","title":"Improving driver situation awareness pre- diction using human visual sensory and memory mechanism","venue":null,"work_id":"81575911-1efd-4da8-a531-9d2fea77ca92","year":2021},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.506377Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:00aeb1df680149f4a5a8808733d9b7f779c9cacc7dab593d159b7e37a252762e","observation_id":"085b8472-1a69-4b1c-80d7-6e4c36c435e5","resolution":{"observed_at":"2026-08-12T11:47:25.687548Z","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":"2026-08-12T11:47:25.667716Z","title":"3.2.3 and Sec","venue":null,"work_id":"1a6ff476-c1c9-45f5-a9df-2a5b13a67377","year":2024},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.510725Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:4ccfe308bb98e5550e514c8b9800ed728bf6d6ea40851556a4ff0c65ad08e9b9","observation_id":"98540ba5-24eb-47b5-98d4-6aae8d7a95e2","resolution":{"observed_at":"2026-08-12T11:47:25.672714Z","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":"2026-08-12T11:47:25.653192Z","title":null,"venue":null,"work_id":"e7292475-8c4d-4889-80e5-2489428bc81e","year":null},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.514953Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:0ecd199aea66c5db2abd43a34297cd25d2e918b7fa8c1519181556ed19f49219","observation_id":"4d550999-37db-4eeb-b8a6-10fe24826be2","resolution":{"observed_at":"2026-08-12T11:47:25.657657Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-12T11:47:25.638419Z","title":"3.4.2 is shown in Fig","venue":null,"work_id":"25d4454e-9681-4c4a-8b02-821eb54ab6b2","year":null},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.519828Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:42728fa5e186712d3c0bf8b3fbaf0e18369edb83ef88c8effebd2ceb80887363","observation_id":"70888308-f31b-4332-92ea-b89a11c25ef4","resolution":{"observed_at":"2026-08-12T11:47:25.643023Z","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":"2026-08-12T11:47:25.623351Z","title":"Encoder Training Details Regarding the training configurations of the encoders men- tioned in Sec","venue":null,"work_id":"c0115b44-9239-46bc-b1bb-37f4ae37a85c","year":null},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.524260Z"},"links":{"citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:51794e8a27119f92bf539498cdede824a65d1bb551745fcf0b4ada74aeb8d461","observation_id":"8123e2bd-bdbf-447f-a1a3-3aac102d4a89","resolution":{"observed_at":"2026-08-12T11:47:25.627987Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"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"}}],"paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":1,"verified_fuzzy":25},"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 1 inbound Pith citation observation for arXiv:2411.17886."}