Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T01:41:08.522543Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T01:41:08.522543Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
37 of 37 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b6417439-7a14-48ca-8e18-f4bd64462a63 · outbound
Image Quality Dependent Degradation for AI Systems A survey of autonomous driving: Common practices and emerging technologies,
Reference 1
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Observation 0e2ab30f-92c1-4773-89ff-5b36396929cb · outbound
Image Quality Dependent Degradation for AI Systems Abschluss- bericht ki absicherung,
Reference 2
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Unavailable: canonical work link unavailable.
Observation ee5728d6-cc40-47df-a6a7-bbb4a908c062 · outbound
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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Unavailable: canonical work link unavailable.
Observation 8f2cf97e-f9fe-40e2-8e93-2b4e6f039ec3 · outbound
Image Quality Dependent Degradation for AI Systems Formal Verification of a Fail-Operational Automotive Driving System
Reference 4
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Unavailable: canonical work link unavailable.
Observation a1b7200d-9594-43d6-afff-bc0c1254a9a8 · outbound
Image Quality Dependent Degradation for AI Systems Reliability Analysis of Gracefully Degrading Automotive Systems
Reference 5
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Unavailable: canonical work link unavailable.
Observation 70990530-1b27-4b6d-83e3-afac0e79cadb · outbound
Image Quality Dependent Degradation for AI Systems Revisiting the evaluation of deep neural networks for pedestrian detection,
Reference 6
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Unavailable: canonical work link unavailable.
Observation 09e8c6fb-ae56-4e4a-96eb-3be1896cc05b · outbound
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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Unavailable: canonical work link unavailable.
Observation a44bd483-cbc4-46c5-a1f5-c7265f2d626e · outbound
Image Quality Dependent Degradation for AI Systems Towards safety-aware pedestrian detection in autonomous systems,
Reference 8
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Unavailable: canonical work link unavailable.
Observation 14a00c46-cf9d-4a37-8abe-8a68f196b519 · outbound
Image Quality Dependent Degradation for AI Systems Safety in adas/ad –sotif, a risk-based approach,
Reference 9
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Unavailable: canonical work link unavailable.
Observation c728691d-389e-48d6-b0cb-d5ca11ecc0c8 · outbound
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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Unavailable: canonical work link unavailable.
Observation 9a862b3f-f008-40b0-a680-123eb0c7c2d6 · outbound
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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Unavailable: canonical work link unavailable.
Observation 3e892e09-0dd0-40ea-9517-743d3b70ee27 · outbound
Image Quality Dependent Degradation for AI Systems Emergent visual sensors for autonomous vehicles,
Reference 12
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Unavailable: canonical work link unavailable.
Observation b45c0b89-507a-43ad-9835-66e940a66c32 · outbound
Image Quality Dependent Degradation for AI Systems Image Data Augmentation for Deep Learning: A Survey
Reference 13
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Unavailable: canonical work link unavailable.
Observation 800bd525-2314-4fd4-addd-cd9adf635afa · outbound
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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Unavailable: canonical work link unavailable.
Observation 65561737-a25a-4ecb-b51d-b34de49e65d5 · outbound
Image Quality Dependent Degradation for AI Systems Scalable fail-degraded systems for autonomous vehicles: A survey,
Reference 15
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Unavailable: canonical work link unavailable.
Observation b7d38992-5920-4ed7-a13d-2366d0df3f6b · outbound
Image Quality Dependent Degradation for AI Systems A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement
Reference 16
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Unavailable: canonical work link unavailable.
Observation 0b4b0428-f73b-4379-9c03-99795db0a886 · outbound
Image Quality Dependent Degradation for AI Systems No-reference image quality assessment in the spatial domain,
Reference 17
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Unavailable: canonical work link unavailable.
Observation 42c472cc-2f1a-4ef3-8f1d-20234b05dcdb · outbound
Image Quality Dependent Degradation for AI Systems Making a “completely blind
Reference 18
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Unavailable: canonical work link unavailable.
Observation 1f6e3f70-b967-469c-bab9-6e67bff6cde1 · outbound
Image Quality Dependent Degradation for AI Systems Blind image quality evaluation using perception based features,
Reference 19
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Unavailable: canonical work link unavailable.
Observation aea13f46-da84-4bef-bc20-385e22968ec1 · outbound
Image Quality Dependent Degradation for AI Systems Deep cnn-based blind image quality predictor,
Reference 20
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Unavailable: canonical work link unavailable.
Observation cc39cabb-dc92-4110-8606-6e5455c537e1 · outbound
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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Unavailable: canonical work link unavailable.
Observation 02017f02-4c9e-46a8-8075-336900b00d7c · outbound
Image Quality Dependent Degradation for AI Systems Rankiqa: Learning from rankings for no-reference image quality assessment,
Reference 22
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Unavailable: canonical work link unavailable.
Observation 6b5c86a8-c8b0-414a-a20e-8f507022c3eb · outbound
Image Quality Dependent Degradation for AI Systems Variational inference with normalizing flows,
Reference 23
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Unavailable: canonical work link unavailable.
Observation 15e3c47b-7abf-4e03-a1c8-4bdeec450a86 · outbound
Image Quality Dependent Degradation for AI Systems Density estimation using Real NVP
Reference 24
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Unavailable: canonical work link unavailable.
Observation 7a1aa980-c409-42ca-932d-a2fc105ba8d8 · outbound
Image Quality Dependent Degradation for AI Systems Learning densities in feature space for reliable segmentation of indoor scenes,
Reference 25
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Unavailable: canonical work link unavailable.
Observation 9957c519-d5dc-4d4a-8d59-98c4c1daff47 · outbound
Image Quality Dependent Degradation for AI Systems Do Deep Generative Models Know What They Don't Know?
Reference 26
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Unavailable: canonical work link unavailable.
Observation b7893dce-1f84-4c91-8c2b-fe36045f72a3 · outbound
Image Quality Dependent Degradation for AI Systems Why normalizing flows fail to detect out-of-distribution data,
Reference 27
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Unavailable: canonical work link unavailable.
Observation be2067df-7749-4bd0-9c3b-cabb61f7e8fa · outbound
Image Quality Dependent Degradation for AI Systems Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows
Reference 28
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Unavailable: canonical work link unavailable.
Observation 5d2747b4-e937-4f7a-9b1b-278d07e95e68 · outbound
Image Quality Dependent Degradation for AI Systems Deep residual learning for image recognition,
Reference 29
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Unavailable: canonical work link unavailable.
Observation 7d440044-b63d-48c3-b877-5c151511e378 · outbound
Image Quality Dependent Degradation for AI Systems Emerging properties in self-supervised vision transformers,
Reference 30
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Unavailable: canonical work link unavailable.
Observation e443099a-1eef-4589-966a-ba1eea5c6ed7 · outbound
Image Quality Dependent Degradation for AI Systems Measuring colorfulness in natural images,
Reference 31
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Unavailable: canonical work link unavailable.
Observation 42ac61a3-429c-4528-b809-ebb269f31418 · outbound
Image Quality Dependent Degradation for AI Systems Un esempio diΓ −-convergenza,
Reference 32
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Unavailable: canonical work link unavailable.
Observation f317e8ba-e4b8-4837-97ba-adc87c843e88 · outbound
Image Quality Dependent Degradation for AI Systems Bdd100k: A diverse driving dataset for heterogeneous multitask learning,
Reference 33
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Unavailable: canonical work link unavailable.
Observation ddd73006-f07e-4af1-a106-42048ab77f46 · outbound
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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Unavailable: canonical work link unavailable.
Observation e6088430-89c7-4f40-b006-f94e51fe3de3 · outbound
Image Quality Dependent Degradation for AI Systems Carla-object-detection-dataset,
Reference 35
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Unavailable: canonical work link unavailable.
Observation dfc37b02-dfa1-407b-ac00-0d4aad533495 · outbound
Image Quality Dependent Degradation for AI Systems Ultralytics yolo11,
Reference 36
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Observation 3644aac1-a567-4615-9663-bb6345e14050 · outbound
Image Quality Dependent Degradation for AI Systems End-to-end object detection with transformers,
Reference 37
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No inbound Pith citation observations are available.