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Paper Citation Record · LEDGER

Image Quality Dependent Degradation for AI Systems

As of 12 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2607.25736.

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

pith.paper-citation-record.v1
2607.25736 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:41:08.522543Z

measured 37 of 37 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

37 of 37 outbound references displayed

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Outbound references

Observation b6417439-7a14-48ca-8e18-f4bd64462a63 · outbound

This paper cites A survey of autonomous driving: Common practices and emerging technologies,.

Image Quality Dependent Degradation for AI Systems A survey of autonomous driving: Common practices and emerging technologies,

Reference 1

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source=pdf_text observed=2026-08-01T01:41:02.470534Z digest=sha256:2da3d8b0fe0fdb322a6444612e65d1cf78804b61323a0bfa39e3a1644d181d45

Observation 0e2ab30f-92c1-4773-89ff-5b36396929cb · outbound

This paper cites Abschluss- bericht ki absicherung,.

Image Quality Dependent Degradation for AI Systems Abschluss- bericht ki absicherung,

Reference 2

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Observation ee5728d6-cc40-47df-a6a7-bbb4a908c062 · outbound

This paper cites Taxonomy to unify fault tolerance regimes for automotive systems: Defining fail-operational, fail-degraded, and fail-safe,.

Image Quality Dependent Degradation for AI Systems Taxonomy to unify fault tolerance regimes for automotive systems: Defining fail-operational, fail-degraded, and fail-safe,

Reference 3

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Observation 8f2cf97e-f9fe-40e2-8e93-2b4e6f039ec3 · outbound

This paper cites Formal Verification of a Fail-Operational Automotive Driving System.

Image Quality Dependent Degradation for AI Systems Formal Verification of a Fail-Operational Automotive Driving System

Reference 4

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Observation a1b7200d-9594-43d6-afff-bc0c1254a9a8 · outbound

This paper cites Reliability Analysis of Gracefully Degrading Automotive Systems.

Image Quality Dependent Degradation for AI Systems Reliability Analysis of Gracefully Degrading Automotive Systems

Reference 5

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Observation 70990530-1b27-4b6d-83e3-afac0e79cadb · outbound

This paper cites Revisiting the evaluation of deep neural networks for pedestrian detection,.

Image Quality Dependent Degradation for AI Systems Revisiting the evaluation of deep neural networks for pedestrian detection,

Reference 6

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Observation 09e8c6fb-ae56-4e4a-96eb-3be1896cc05b · outbound

This paper cites Toward Robust LiDAR based 3D Object Detection via Density-Aware Adaptive Thresholding.

Image Quality Dependent Degradation for AI Systems Toward Robust LiDAR based 3D Object Detection via Density-Aware Adaptive Thresholding

Reference 7

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Observation a44bd483-cbc4-46c5-a1f5-c7265f2d626e · outbound

This paper cites Towards safety-aware pedestrian detection in autonomous systems,.

Image Quality Dependent Degradation for AI Systems Towards safety-aware pedestrian detection in autonomous systems,

Reference 8

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source=pdf_text observed=2026-08-01T01:41:02.951946Z digest=sha256:107be864940c02088c1f0bebaec3d9e92a5ce0b837b920f8093fc9eeccca8ced

Observation 14a00c46-cf9d-4a37-8abe-8a68f196b519 · outbound

This paper cites Safety in adas/ad –sotif, a risk-based approach,.

Image Quality Dependent Degradation for AI Systems Safety in adas/ad –sotif, a risk-based approach,

Reference 9

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Observation c728691d-389e-48d6-b0cb-d5ca11ecc0c8 · outbound

This paper cites Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions.

Image Quality Dependent Degradation for AI Systems Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions

Reference 10

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Observation 9a862b3f-f008-40b0-a680-123eb0c7c2d6 · outbound

This paper cites Perception and sensing for autonomous vehicles under adverse weather conditions: A survey,.

Image Quality Dependent Degradation for AI Systems Perception and sensing for autonomous vehicles under adverse weather conditions: A survey,

Reference 11

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Observation 3e892e09-0dd0-40ea-9517-743d3b70ee27 · outbound

This paper cites Emergent visual sensors for autonomous vehicles,.

Image Quality Dependent Degradation for AI Systems Emergent visual sensors for autonomous vehicles,

Reference 12

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Observation b45c0b89-507a-43ad-9835-66e940a66c32 · outbound

This paper cites Image Data Augmentation for Deep Learning: A Survey.

Image Quality Dependent Degradation for AI Systems Image Data Augmentation for Deep Learning: A Survey

Reference 13

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Observation 800bd525-2314-4fd4-addd-cd9adf635afa · outbound

This paper cites The role of noisy data in improving cnn robustness for image clas- sification,.

Image Quality Dependent Degradation for AI Systems The role of noisy data in improving cnn robustness for image clas- sification,

Reference 14

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Observation 65561737-a25a-4ecb-b51d-b34de49e65d5 · outbound

This paper cites Scalable fail-degraded systems for autonomous vehicles: A survey,.

Image Quality Dependent Degradation for AI Systems Scalable fail-degraded systems for autonomous vehicles: A survey,

Reference 15

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Observation b7d38992-5920-4ed7-a13d-2366d0df3f6b · outbound

This paper cites A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement.

Image Quality Dependent Degradation for AI Systems A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement

Reference 16

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Observation 0b4b0428-f73b-4379-9c03-99795db0a886 · outbound

This paper cites No-reference image quality assessment in the spatial domain,.

Image Quality Dependent Degradation for AI Systems No-reference image quality assessment in the spatial domain,

Reference 17

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Observation 42c472cc-2f1a-4ef3-8f1d-20234b05dcdb · outbound

This paper cites Making a “completely blind.

Image Quality Dependent Degradation for AI Systems Making a “completely blind

Reference 18

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Observation 1f6e3f70-b967-469c-bab9-6e67bff6cde1 · outbound

This paper cites Blind image quality evaluation using perception based features,.

Image Quality Dependent Degradation for AI Systems Blind image quality evaluation using perception based features,

Reference 19

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Observation aea13f46-da84-4bef-bc20-385e22968ec1 · outbound

This paper cites Deep cnn-based blind image quality predictor,.

Image Quality Dependent Degradation for AI Systems Deep cnn-based blind image quality predictor,

Reference 20

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Observation cc39cabb-dc92-4110-8606-6e5455c537e1 · outbound

This paper cites Aciqa: A dataset and method for assessing the imaging quality of automotive cameras,.

Image Quality Dependent Degradation for AI Systems Aciqa: A dataset and method for assessing the imaging quality of automotive cameras,

Reference 21

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Observation 02017f02-4c9e-46a8-8075-336900b00d7c · outbound

This paper cites Rankiqa: Learning from rankings for no-reference image quality assessment,.

Image Quality Dependent Degradation for AI Systems Rankiqa: Learning from rankings for no-reference image quality assessment,

Reference 22

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Observation 6b5c86a8-c8b0-414a-a20e-8f507022c3eb · outbound

This paper cites Variational inference with normalizing flows,.

Image Quality Dependent Degradation for AI Systems Variational inference with normalizing flows,

Reference 23

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source=pdf_text observed=2026-08-01T01:41:07.358801Z digest=sha256:32e64ad7937cfc172ddbe0143557511870de646440e9f18385bcb3952e1fa890

Observation 15e3c47b-7abf-4e03-a1c8-4bdeec450a86 · outbound

This paper cites Density estimation using Real NVP.

Image Quality Dependent Degradation for AI Systems Density estimation using Real NVP

Reference 24

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source=pdf_text observed=2026-08-01T01:41:07.422407Z digest=sha256:dec17120ba3e0312b4ead0003da87b0a8c559e085d97ef1954f556b9590e5103

Observation 7a1aa980-c409-42ca-932d-a2fc105ba8d8 · outbound

This paper cites Learning densities in feature space for reliable segmentation of indoor scenes,.

Image Quality Dependent Degradation for AI Systems Learning densities in feature space for reliable segmentation of indoor scenes,

Reference 25

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source=pdf_text observed=2026-08-01T01:41:07.475615Z digest=sha256:80f1cec5ac48c388cc818d87b97a53b49c7dc7f67b17569da2d3910b6ef6a8ef

Observation 9957c519-d5dc-4d4a-8d59-98c4c1daff47 · outbound

This paper cites Do Deep Generative Models Know What They Don't Know?.

Image Quality Dependent Degradation for AI Systems Do Deep Generative Models Know What They Don't Know?

Reference 26

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source=pdf_text observed=2026-08-01T01:41:07.505673Z digest=sha256:01d9d64aa7e8e28d57b1e462c508a338ef92c151455a670b87a151d158961190

Observation b7893dce-1f84-4c91-8c2b-fe36045f72a3 · outbound

This paper cites Why normalizing flows fail to detect out-of-distribution data,.

Image Quality Dependent Degradation for AI Systems Why normalizing flows fail to detect out-of-distribution data,

Reference 27

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source=pdf_text observed=2026-08-01T01:41:07.664970Z digest=sha256:cfc7df4f29ea553c2c84ea14329c816959277376409040b042bf7e8e1249a65a

Observation be2067df-7749-4bd0-9c3b-cabb61f7e8fa · outbound

This paper cites Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows.

Image Quality Dependent Degradation for AI Systems Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows

Reference 28

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Observation 5d2747b4-e937-4f7a-9b1b-278d07e95e68 · outbound

This paper cites Deep residual learning for image recognition,.

Image Quality Dependent Degradation for AI Systems Deep residual learning for image recognition,

Reference 29

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source=pdf_text observed=2026-08-01T01:41:07.741525Z digest=sha256:18cb09a9d79b339a0a51b397348677a0ea42526c89c03c5e0374248a66dfb96e

Observation 7d440044-b63d-48c3-b877-5c151511e378 · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Image Quality Dependent Degradation for AI Systems Emerging properties in self-supervised vision transformers,

Reference 30

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source=pdf_text observed=2026-08-01T01:41:07.771937Z digest=sha256:0776b1edae7f8d8bc95490d32e9d608f91d4547efa0a6ec6158e69a10e7eba1f

Observation e443099a-1eef-4589-966a-ba1eea5c6ed7 · outbound

This paper cites Measuring colorfulness in natural images,.

Image Quality Dependent Degradation for AI Systems Measuring colorfulness in natural images,

Reference 31

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Observation 42ac61a3-429c-4528-b809-ebb269f31418 · outbound

This paper cites Un esempio diΓ −-convergenza,.

Image Quality Dependent Degradation for AI Systems Un esempio diΓ −-convergenza,

Reference 32

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Observation f317e8ba-e4b8-4837-97ba-adc87c843e88 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning,.

Image Quality Dependent Degradation for AI Systems Bdd100k: A diverse driving dataset for heterogeneous multitask learning,

Reference 33

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Observation ddd73006-f07e-4af1-a106-42048ab77f46 · outbound

This paper cites Zenseact open dataset: A large-scale and diverse multimodal dataset for autonomous driving,.

Image Quality Dependent Degradation for AI Systems Zenseact open dataset: A large-scale and diverse multimodal dataset for autonomous driving,

Reference 34

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Observation e6088430-89c7-4f40-b006-f94e51fe3de3 · outbound

This paper cites Carla-object-detection-dataset,.

Image Quality Dependent Degradation for AI Systems Carla-object-detection-dataset,

Reference 35

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Observation dfc37b02-dfa1-407b-ac00-0d4aad533495 · outbound

This paper cites Ultralytics yolo11,.

Image Quality Dependent Degradation for AI Systems Ultralytics yolo11,

Reference 36

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Observation 3644aac1-a567-4615-9663-bb6345e14050 · outbound

This paper cites End-to-end object detection with transformers,.

Image Quality Dependent Degradation for AI Systems End-to-end object detection with transformers,

Reference 37

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Pith citing papers

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