{"as_of":"2026-08-04T21:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8708f606fb82d30783ed1c2944e7bf1d4d383514e161c79d296b2dd4682242b8","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":22,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T14:42:55.291309Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-10T06:15:00.866473Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":"1907.07484","doi":"10.48550/arxiv.1907.07484","metadata_source":"arxiv_reference","pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming","venue":null,"work_id":"76047635-3cff-471d-94fe-7967d0b4d99e","year":1907},"citing_paper":{"arxiv_id":"2312.17090","last_updated":"2023-12-28T16:10:25Z","snapshot_observed_at":"2026-08-02T07:14:02.308302Z","submitted_at":"2023-12-28T16:10:25Z","title":"Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-15T16:35:47.826165Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2312.17090"},"observation_digest":"sha256:5fbf2319a1744e94bcd2e9895ec25dc5571522a0c502ddc892f4df87bce39640","observation_id":"a550028b-ace1-4bb5-a360-8d0e2848f6ad","resolution":{"observed_at":"2026-05-15T16:35:48.130485Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":"1907.07484","doi":"10.48550/arxiv.1907.07484","metadata_source":"arxiv_reference","pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming","venue":null,"work_id":"76047635-3cff-471d-94fe-7967d0b4d99e","year":1907},"citing_paper":{"arxiv_id":"2501.07360","last_updated":"2025-01-13T14:30:01Z","snapshot_observed_at":"2026-08-02T01:32:54.525073Z","submitted_at":"2025-01-13T14:30:01Z","title":"TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-23T05:48:01.651056Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2501.07360"},"observation_digest":"sha256:67e13dc53a46c85a57c49317f19bff07f331af534d803f32caf05ad5bb077a9b","observation_id":"287ac540-2ecd-403c-8bdc-12b066e105d2","resolution":{"observed_at":"2026-05-23T05:52:37.221884Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":"1907.07484","doi":"10.48550/arxiv.1907.07484","metadata_source":"arxiv_reference","pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming","venue":null,"work_id":"76047635-3cff-471d-94fe-7967d0b4d99e","year":1907},"citing_paper":{"arxiv_id":"2505.09971","last_updated":"2026-05-01T02:04:25Z","snapshot_observed_at":"2026-08-03T08:44:53.738858Z","submitted_at":"2025-05-15T05:21:16Z","title":"APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-22T15:28:25.523722Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2505.09971"},"observation_digest":"sha256:4672357e2eb077e28e5dde18c74eecc516e82c6878da4e38a9b4b8029e8aaa97","observation_id":"d1393877-7ed6-420b-8723-9108bbb7a0a3","resolution":{"observed_at":"2026-05-22T15:31:44.849022Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":"1907.07484","doi":"10.48550/arxiv.1907.07484","metadata_source":"arxiv_reference","pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming","venue":null,"work_id":"76047635-3cff-471d-94fe-7967d0b4d99e","year":1907},"citing_paper":{"arxiv_id":"2506.16950","last_updated":"2026-05-19T20:12:50Z","snapshot_observed_at":"2026-08-02T13:16:30.243090Z","submitted_at":"2025-06-20T12:32:27Z","title":"LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-22T00:53:19.382994Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2506.16950"},"observation_digest":"sha256:4386d9ab4df6469aaa609847d3b491501bab3b9e3b8a8ae9f3ee72d9c491de58","observation_id":"4745d296-a2d8-4672-8dc2-bf0c98f4624d","resolution":{"observed_at":"2026-05-22T00:54:31.293854Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-08-04T14:42:55.291309Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming.arXiv preprint arXiv:1907.07484, 2019","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-04T14:42:50.171778Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:55.291309Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:8e3e3f21c95f61e309fee5defd449c9f967e672afb4e447dc0722fe0ede221b9","observation_id":"0a71bc92-cf40-44df-b7bd-e7e3d77f46b0","resolution":{"observed_at":"2026-08-04T14:42:55.291309Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-08-04T13:27:41.421624Z","title":"Benchmarking robustness in object detection: Autonomous driving when winter is coming","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2510.00458","last_updated":"2026-07-02T20:01:06Z","snapshot_observed_at":"2026-08-04T13:27:37.483821Z","submitted_at":"2025-10-01T03:17:56Z","title":"VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors","version":4},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-04T13:27:41.421624Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2510.00458"},"observation_digest":"sha256:86aae1f96d894266536ede3ec0cf9fbe321b6944e3cc08126a08d94bf2477449","observation_id":"391d7fc7-9941-47ef-a360-ae9b07c5eb0c","resolution":{"observed_at":"2026-08-04T13:27:41.421624Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":"1907.07484","doi":"10.48550/arxiv.1907.07484","metadata_source":"arxiv_reference","pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming","venue":null,"work_id":"76047635-3cff-471d-94fe-7967d0b4d99e","year":1907},"citing_paper":{"arxiv_id":"2512.18599","last_updated":"2026-04-06T06:59:14Z","snapshot_observed_at":"2026-07-06T22:39:43.359149Z","submitted_at":"2025-12-21T05:12:25Z","title":"Restore-R1: Efficient Image Restoration Agents via Reinforcement Learning with Multimodal LLM Perceptual Feedback","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-16T20:55:20.532094Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2512.18599"},"observation_digest":"sha256:b126dd25d01efee063b143c574822ae769ea037339a47bfc5e617dd7bf69d153","observation_id":"eec0beac-eb4f-4eb9-8b88-d50e5e33ee7c","resolution":{"observed_at":"2026-05-16T20:58:31.896950Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-08-02T17:14:57.482974Z","title":"arXiv preprint arXiv:1907.07484 (2019) 4","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2603.27556","last_updated":"2026-07-17T03:36:55Z","snapshot_observed_at":"2026-08-02T17:14:56.744605Z","submitted_at":"2026-03-29T07:39:31Z","title":"Towards Domain-Generalized Open-Vocabulary Object Detection: A Progressive Domain-invariant Cross-modal Alignment Method","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T17:14:57.482974Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2603.27556"},"observation_digest":"sha256:dc6a2a13e0aab31f2ce334b114bc20e97e7a03aecd0c56a1865755a88012d789","observation_id":"9b6cdfe6-31e2-4b45-b726-13caa402277a","resolution":{"observed_at":"2026-08-02T17:14:57.482974Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":"1907.07484","doi":"10.48550/arxiv.1907.07484","metadata_source":"arxiv_reference","pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming","venue":null,"work_id":"76047635-3cff-471d-94fe-7967d0b4d99e","year":1907},"citing_paper":{"arxiv_id":"2604.23342","last_updated":"2026-04-25T15:05:32Z","snapshot_observed_at":"2026-07-06T23:09:34.300163Z","submitted_at":"2026-04-25T15:05:32Z","title":"Empirical Insights of Test Selection Metrics under Multiple Testing Objectives and Distribution Shifts","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-08T08:04:29.848208Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2604.23342"},"observation_digest":"sha256:799082b096188ca7e20ed3615eaf13f369bb506bd171c06ca6921a1ddc72480d","observation_id":"c2472127-ce76-4989-a7bb-3c04935db98a","resolution":{"observed_at":"2026-05-08T22:39:21.737678Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":"1907.07484","doi":"10.48550/arxiv.1907.07484","metadata_source":"arxiv_reference","pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming","venue":null,"work_id":"76047635-3cff-471d-94fe-7967d0b4d99e","year":1907},"citing_paper":{"arxiv_id":"2605.04531","last_updated":"2026-05-06T06:17:41Z","snapshot_observed_at":"2026-07-06T23:17:18.486586Z","submitted_at":"2026-05-06T06:17:41Z","title":"Reward-Guided Semantic Evolution for Test-time Adaptive Object Detection","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-08T17:12:52.435251Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2605.04531"},"observation_digest":"sha256:5deb6999bb0212baa9a5d799e3d443e03fea11f893586fb55bd9679a7544ee5f","observation_id":"2dfa2189-62ef-45e7-9ae2-d5a5c529bdc6","resolution":{"observed_at":"2026-05-11T17:46:08.686262Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":"1907.07484","doi":"10.48550/arxiv.1907.07484","metadata_source":"arxiv_reference","pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming","venue":null,"work_id":"76047635-3cff-471d-94fe-7967d0b4d99e","year":1907},"citing_paper":{"arxiv_id":"2605.05439","last_updated":"2026-05-06T20:55:08Z","snapshot_observed_at":"2026-07-06T23:18:02.987518Z","submitted_at":"2026-05-06T20:55:08Z","title":"Safety-Critical Camera Reliability Monitoring for ADAS via Degradation-Aware Uncertainty Pattern Analysis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-08T16:25:59.506432Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2605.05439"},"observation_digest":"sha256:90600f9e87b2863c037f36cc803669d9c6d3de5124d60c55d70b70e808a94db6","observation_id":"e5571cd7-e34f-412a-8e22-d112767686b0","resolution":{"observed_at":"2026-05-11T18:16:08.594102Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":"1907.07484","doi":"10.48550/arxiv.1907.07484","metadata_source":"arxiv_reference","pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming","venue":null,"work_id":"76047635-3cff-471d-94fe-7967d0b4d99e","year":1907},"citing_paper":{"arxiv_id":"2605.10822","last_updated":"2026-05-11T16:41:14Z","snapshot_observed_at":"2026-07-06T23:22:42.512039Z","submitted_at":"2026-05-11T16:41:14Z","title":"Benchmarking Sensor-Fault Robustness in Forecasting","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-12T05:25:26.679579Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2605.10822"},"observation_digest":"sha256:dfd3bbb49893cd322f0096bf3076088c14cccf39c7cd0db7bfce5dbdf9198bc3","observation_id":"ecc8ae5e-3783-4780-a403-6874bf688875","resolution":{"observed_at":"2026-05-12T05:26:23.967347Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":"1907.07484","doi":"10.48550/arxiv.1907.07484","metadata_source":"arxiv_reference","pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming","venue":null,"work_id":"76047635-3cff-471d-94fe-7967d0b4d99e","year":1907},"citing_paper":{"arxiv_id":"2605.18059","last_updated":"2026-05-18T08:45:24Z","snapshot_observed_at":"2026-08-02T12:47:52.648600Z","submitted_at":"2026-05-18T08:45:24Z","title":"Bench2Drive-Robust: Benchmarking Closed-Loop Autonomous Driving under Deployment Perturbations","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-20T10:12:16.361783Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2605.18059"},"observation_digest":"sha256:3556ea744e0e40829acc7935654b9f95487623c7081573164fe97cfeb65702ea","observation_id":"1daddb4a-27d5-49d0-a03e-0cb355e5cee7","resolution":{"observed_at":"2026-05-20T10:13:11.844541Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":"1907.07484","doi":"10.48550/arxiv.1907.07484","metadata_source":"arxiv_reference","pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming","venue":null,"work_id":"76047635-3cff-471d-94fe-7967d0b4d99e","year":1907},"citing_paper":{"arxiv_id":"2605.18287","last_updated":"2026-05-18T12:15:16Z","snapshot_observed_at":"2026-07-31T15:52:05.461441Z","submitted_at":"2026-05-18T12:15:16Z","title":"StableVLA: Towards Robust Vision-Language-Action Models without Extra Data","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-20T11:55:22.498055Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2605.18287"},"observation_digest":"sha256:543c977f36d054bb4ba49fe2e967fc1a9a4776cdfa331129c7b01b87aa731f3b","observation_id":"4be2b843-fac8-423e-b9ec-575d02854d37","resolution":{"observed_at":"2026-05-20T11:58:15.147995Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":"1907.07484","doi":"10.48550/arxiv.1907.07484","metadata_source":"arxiv_reference","pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming","venue":null,"work_id":"76047635-3cff-471d-94fe-7967d0b4d99e","year":1907},"citing_paper":{"arxiv_id":"2605.21446","last_updated":"2026-06-02T21:18:45Z","snapshot_observed_at":"2026-08-02T11:28:37.475351Z","submitted_at":"2026-05-20T17:34:02Z","title":"Lost in Fog: Sensor Perturbations Expose Reasoning Fragility in Driving VLAs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-21T03:27:19.011371Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2605.21446"},"observation_digest":"sha256:fd7cce6830b71fd56ea6f6688d466fb9119c1bb15447d9d950cd045478cc2cd3","observation_id":"56fb28f1-fe4f-4e26-84bc-300b33bac25b","resolution":{"observed_at":"2026-05-21T03:34:28.934554Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":"1907.07484","doi":"10.48550/arxiv.1907.07484","metadata_source":"arxiv_reference","pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming","venue":null,"work_id":"76047635-3cff-471d-94fe-7967d0b4d99e","year":1907},"citing_paper":{"arxiv_id":"2605.21446","last_updated":"2026-06-02T21:18:45Z","snapshot_observed_at":"2026-08-02T11:28:37.475351Z","submitted_at":"2026-05-20T17:34:02Z","title":"Lost in Fog: Sensor Perturbations Expose Reasoning Fragility in Driving VLAs","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-30T16:54:24.484839Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2605.21446"},"observation_digest":"sha256:fcfcdc5b148aa2182d66a81ef97a693d8f0260355669c5413c6f44eaf120e0c3","observation_id":"9388f4c7-2465-47f3-be24-ba3b1c907e77","resolution":{"observed_at":"2026-06-30T16:54:58.190202Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":"1907.07484","doi":"10.48550/arxiv.1907.07484","metadata_source":"arxiv_reference","pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming","venue":null,"work_id":"76047635-3cff-471d-94fe-7967d0b4d99e","year":1907},"citing_paper":{"arxiv_id":"2605.27155","last_updated":"2026-05-27T08:15:42Z","snapshot_observed_at":"2026-07-06T23:36:53.330986Z","submitted_at":"2026-05-26T15:15:38Z","title":"Semantic Robustness Probing via Inpainting: An Interactive Tool for Safety-Critical Object Detection","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-29T18:51:10.918967Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2605.27155"},"observation_digest":"sha256:aecae3e3fc90584f7391068188de98dc2b01fc0f90f63e601bc70493cde3f726","observation_id":"717789ed-cc85-409a-bee0-61d0ff88793c","resolution":{"observed_at":"2026-06-29T18:53:51.170446Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":"1907.07484","doi":"10.48550/arxiv.1907.07484","metadata_source":"arxiv_reference","pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming","venue":null,"work_id":"76047635-3cff-471d-94fe-7967d0b4d99e","year":1907},"citing_paper":{"arxiv_id":"2606.00828","last_updated":"2026-05-30T17:55:10Z","snapshot_observed_at":"2026-08-03T04:25:57.333029Z","submitted_at":"2026-05-30T17:55:10Z","title":"RoboStressBench: Benchmarking VLM Robustness to Physical Visual Stress in Embodied Scenes","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-28T18:56:37.114948Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2606.00828"},"observation_digest":"sha256:086a62c61cd1b03185bb464c24124bf2610f4d16b2cc1389f42a3b169d51c4e1","observation_id":"ccc5a7e5-e3b3-4a51-b405-17ebeb45aebc","resolution":{"observed_at":"2026-06-28T19:02:34.431944Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":"1907.07484","doi":"10.48550/arxiv.1907.07484","metadata_source":"arxiv_reference","pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming","venue":null,"work_id":"76047635-3cff-471d-94fe-7967d0b4d99e","year":1907},"citing_paper":{"arxiv_id":"2606.02603","last_updated":"2026-05-23T10:59:34Z","snapshot_observed_at":"2026-08-02T16:21:04.412033Z","submitted_at":"2026-05-23T10:59:34Z","title":"COD10K-C: Benchmarking Robustness of Camouflaged Object Detection Under Natural Image Corruptions","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T13:40:07.771485Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2606.02603"},"observation_digest":"sha256:ca4574839543bf16cebdd0440dfb5bad45149675b1c90c31174e24749ffb83a7","observation_id":"23f1b7c9-4a17-46cc-be8b-db350d96a79a","resolution":{"observed_at":"2026-06-30T13:44:40.785174Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-11T11:00:11.637455Z","title":"Ecker, Matthias Bethge, and Wieland Brendel","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.04953","last_updated":"2026-07-06T11:34:31Z","snapshot_observed_at":"2026-08-03T05:39:03.765448Z","submitted_at":"2026-07-06T11:34:31Z","title":"Real-World Perturbation Testing of Autonomous Driving Systems","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-11T11:00:11.637455Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2607.04953"},"observation_digest":"sha256:5ae06bea0d52a0a8655a8861a7d949f53ab44d0efb0c4f99be119968a88e15f2","observation_id":"c0440fe5-a4c7-4244-b093-7de8e303b0b5","resolution":{"observed_at":"2026-07-11T11:00:11.637455Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-08-01T06:03:17.018043Z","title":"arXiv preprint arXiv:1907.07484 , year =","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2607.22034","last_updated":"2026-07-24T07:00:32Z","snapshot_observed_at":"2026-08-01T06:03:15.987957Z","submitted_at":"2026-07-24T07:00:32Z","title":"Small Vision-Language Models Know When They Are Wrong But Cannot Say So: A Two-Model Study of Stated versus Internal Confidence Under Realistic Image Degradation","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-01T06:03:17.018043Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2607.22034"},"observation_digest":"sha256:ae2f9c84de9a34474de6ae9c1dadac0b3ba1e3b554fe1bb895d137fb5d7bda32","observation_id":"f9b7d0b1-474f-4d33-a31a-27ad5e919794","resolution":{"observed_at":"2026-08-01T06:03:17.018043Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-07-31T14:56:08.975421Z","title":"Ecker, Matthias Bethge, and Wieland Brendel","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2607.24440","last_updated":"2026-07-27T13:47:44Z","snapshot_observed_at":"2026-07-31T14:56:07.799183Z","submitted_at":"2026-07-27T13:47:44Z","title":"Bigger or Cheaper? Scale and Quantization Effects on Uncertainty Signals in Vision-Language Models Under Image Degradation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-31T14:56:08.975421Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2607.24440"},"observation_digest":"sha256:aa2496f28ac5e16cdf12512e1ada168f2a580146fcb735c9de59666fae1df4e7","observation_id":"5507bb8a-079a-4d0c-ac0e-21473c115327","resolution":{"observed_at":"2026-07-31T14:56:08.975421Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1907.07484/citation-record","integrity":"/paper/1907.07484/integrity","json":"/paper/1907.07484/citation-record.json","paper":"/paper/1907.07484"},"outbound":[],"paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-03T06:25:53.775445Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:1907.07484."}