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Paper Citation Record · LEDGER

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

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.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1907.07484 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:42:55.291309Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a550028b-ace1-4bb5-a360-8d0e2848f6ad · inbound

Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels cites this paper.

Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T16:35:48.130485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T16:35:47.826165Z digest=sha256:5fbf2319a1744e94bcd2e9895ec25dc5571522a0c502ddc892f4df87bce39640

Observation 287ac540-2ecd-403c-8bdc-12b066e105d2 · inbound

TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations cites this paper.

TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 32

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verified exact
arxiv_id, observed 2026-05-23T05:52:37.221884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T05:48:01.651056Z digest=sha256:67e13dc53a46c85a57c49317f19bff07f331af534d803f32caf05ad5bb077a9b

Observation d1393877-7ed6-420b-8723-9108bbb7a0a3 · inbound

APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds cites this paper.

APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 28

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verified exact
arxiv_id, observed 2026-05-22T15:31:44.849022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T15:28:25.523722Z digest=sha256:4672357e2eb077e28e5dde18c74eecc516e82c6878da4e38a9b4b8029e8aaa97

Observation 4745d296-a2d8-4672-8dc2-bf0c98f4624d · inbound

LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models cites this paper.

LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T00:54:31.293854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T00:53:19.382994Z digest=sha256:4386d9ab4df6469aaa609847d3b491501bab3b9e3b8a8ae9f3ee72d9c491de58

Observation 0a71bc92-cf40-44df-b7bd-e7e3d77f46b0 · inbound

Improved Robustness from Biologically Inspired Sparse Contrast Representations cites this paper.

Improved Robustness from Biologically Inspired Sparse Contrast Representations Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T14:42:55.291309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:55.291309Z digest=sha256:8e3e3f21c95f61e309fee5defd449c9f967e672afb4e447dc0722fe0ede221b9

Observation 391d7fc7-9941-47ef-a360-ae9b07c5eb0c · inbound

VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors cites this paper.

VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T13:27:41.421624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:27:41.421624Z digest=sha256:86aae1f96d894266536ede3ec0cf9fbe321b6944e3cc08126a08d94bf2477449

Observation eec0beac-eb4f-4eb9-8b88-d50e5e33ee7c · inbound

Restore-R1: Efficient Image Restoration Agents via Reinforcement Learning with Multimodal LLM Perceptual Feedback cites this paper.

Restore-R1: Efficient Image Restoration Agents via Reinforcement Learning with Multimodal LLM Perceptual Feedback Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:58:31.896950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T20:55:20.532094Z digest=sha256:b126dd25d01efee063b143c574822ae769ea037339a47bfc5e617dd7bf69d153

Observation 9b6cdfe6-31e2-4b45-b726-13caa402277a · inbound

Towards Domain-Generalized Open-Vocabulary Object Detection: A Progressive Domain-invariant Cross-modal Alignment Method cites this paper.

Towards Domain-Generalized Open-Vocabulary Object Detection: A Progressive Domain-invariant Cross-modal Alignment Method Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T17:14:57.482974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:14:57.482974Z digest=sha256:dc6a2a13e0aab31f2ce334b114bc20e97e7a03aecd0c56a1865755a88012d789

Observation c2472127-ce76-4989-a7bb-3c04935db98a · inbound

Empirical Insights of Test Selection Metrics under Multiple Testing Objectives and Distribution Shifts cites this paper.

Empirical Insights of Test Selection Metrics under Multiple Testing Objectives and Distribution Shifts Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 59

Resolution
metadata mismatch
arxiv_id, observed 2026-05-08T22:39:21.737678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T08:04:29.848208Z digest=sha256:799082b096188ca7e20ed3615eaf13f369bb506bd171c06ca6921a1ddc72480d

Observation 2dfa2189-62ef-45e7-9ae2-d5a5c529bdc6 · inbound

Reward-Guided Semantic Evolution for Test-time Adaptive Object Detection cites this paper.

Reward-Guided Semantic Evolution for Test-time Adaptive Object Detection Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:46:08.686262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T17:12:52.435251Z digest=sha256:5deb6999bb0212baa9a5d799e3d443e03fea11f893586fb55bd9679a7544ee5f

Observation e5571cd7-e34f-412a-8e22-d112767686b0 · inbound

Safety-Critical Camera Reliability Monitoring for ADAS via Degradation-Aware Uncertainty Pattern Analysis cites this paper.

Safety-Critical Camera Reliability Monitoring for ADAS via Degradation-Aware Uncertainty Pattern Analysis Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:16:08.594102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T16:25:59.506432Z digest=sha256:90600f9e87b2863c037f36cc803669d9c6d3de5124d60c55d70b70e808a94db6

Observation ecc8ae5e-3783-4780-a403-6874bf688875 · inbound

Benchmarking Sensor-Fault Robustness in Forecasting cites this paper.

Benchmarking Sensor-Fault Robustness in Forecasting Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 76

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metadata mismatch
arxiv_id, observed 2026-05-12T05:26:23.967347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T05:25:26.679579Z digest=sha256:dfd3bbb49893cd322f0096bf3076088c14cccf39c7cd0db7bfce5dbdf9198bc3

Observation 1daddb4a-27d5-49d0-a03e-0cb355e5cee7 · inbound

Bench2Drive-Robust: Benchmarking Closed-Loop Autonomous Driving under Deployment Perturbations cites this paper.

Bench2Drive-Robust: Benchmarking Closed-Loop Autonomous Driving under Deployment Perturbations Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 74

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verified exact
arxiv_id, observed 2026-05-20T10:13:11.844541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T10:12:16.361783Z digest=sha256:3556ea744e0e40829acc7935654b9f95487623c7081573164fe97cfeb65702ea

Observation 4be2b843-fac8-423e-b9ec-575d02854d37 · inbound

StableVLA: Towards Robust Vision-Language-Action Models without Extra Data cites this paper.

StableVLA: Towards Robust Vision-Language-Action Models without Extra Data Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 32

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metadata mismatch
arxiv_id, observed 2026-05-20T11:58:15.147995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T11:55:22.498055Z digest=sha256:543c977f36d054bb4ba49fe2e967fc1a9a4776cdfa331129c7b01b87aa731f3b

Observation 56fb28f1-fe4f-4e26-84bc-300b33bac25b · inbound

Lost in Fog: Sensor Perturbations Expose Reasoning Fragility in Driving VLAs cites this paper.

Lost in Fog: Sensor Perturbations Expose Reasoning Fragility in Driving VLAs Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T03:34:28.934554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T03:27:19.011371Z digest=sha256:fd7cce6830b71fd56ea6f6688d466fb9119c1bb15447d9d950cd045478cc2cd3

Observation 9388f4c7-2465-47f3-be24-ba3b1c907e77 · inbound

Lost in Fog: Sensor Perturbations Expose Reasoning Fragility in Driving VLAs cites this paper.

Lost in Fog: Sensor Perturbations Expose Reasoning Fragility in Driving VLAs Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T16:54:58.190202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T16:54:24.484839Z digest=sha256:fcfcdc5b148aa2182d66a81ef97a693d8f0260355669c5413c6f44eaf120e0c3

Observation 717789ed-cc85-409a-bee0-61d0ff88793c · inbound

Semantic Robustness Probing via Inpainting: An Interactive Tool for Safety-Critical Object Detection cites this paper.

Semantic Robustness Probing via Inpainting: An Interactive Tool for Safety-Critical Object Detection Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 5

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metadata mismatch
arxiv_id, observed 2026-06-29T18:53:51.170446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T18:51:10.918967Z digest=sha256:aecae3e3fc90584f7391068188de98dc2b01fc0f90f63e601bc70493cde3f726

Observation ccc5a7e5-e3b3-4a51-b405-17ebeb45aebc · inbound

RoboStressBench: Benchmarking VLM Robustness to Physical Visual Stress in Embodied Scenes cites this paper.

RoboStressBench: Benchmarking VLM Robustness to Physical Visual Stress in Embodied Scenes Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 26

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verified exact
arxiv_id, observed 2026-06-28T19:02:34.431944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T18:56:37.114948Z digest=sha256:086a62c61cd1b03185bb464c24124bf2610f4d16b2cc1389f42a3b169d51c4e1

Observation 23f1b7c9-4a17-46cc-be8b-db350d96a79a · inbound

COD10K-C: Benchmarking Robustness of Camouflaged Object Detection Under Natural Image Corruptions cites this paper.

COD10K-C: Benchmarking Robustness of Camouflaged Object Detection Under Natural Image Corruptions Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:44:40.785174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T13:40:07.771485Z digest=sha256:ca4574839543bf16cebdd0440dfb5bad45149675b1c90c31174e24749ffb83a7

Observation c0440fe5-a4c7-4244-b093-7de8e303b0b5 · inbound

Real-World Perturbation Testing of Autonomous Driving Systems cites this paper.

Real-World Perturbation Testing of Autonomous Driving Systems Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 49

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unresolved
no resolver link, observed 2026-07-11T11:00:11.637455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:00:11.637455Z digest=sha256:5ae06bea0d52a0a8655a8861a7d949f53ab44d0efb0c4f99be119968a88e15f2

Observation f9b7d0b1-474f-4d33-a31a-27ad5e919794 · inbound

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 cites this paper.

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 Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 5

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unresolved
no resolver link, observed 2026-08-01T06:03:17.018043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:03:17.018043Z digest=sha256:ae2f9c84de9a34474de6ae9c1dadac0b3ba1e3b554fe1bb895d137fb5d7bda32

Observation 5507bb8a-079a-4d0c-ac0e-21473c115327 · inbound

Bigger or Cheaper? Scale and Quantization Effects on Uncertainty Signals in Vision-Language Models Under Image Degradation cites this paper.

Bigger or Cheaper? Scale and Quantization Effects on Uncertainty Signals in Vision-Language Models Under Image Degradation Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-31T14:56:08.975421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T14:56:08.975421Z digest=sha256:aa2496f28ac5e16cdf12512e1ada168f2a580146fcb735c9de59666fae1df4e7