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Paper Citation Record · LEDGER

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems

As of 9 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2505.23201.

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

pith.paper-citation-record.v1
2505.23201 v2

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:55:56.123726Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

80 of 80 outbound references displayed

  • verified exact5
  • verified fuzzy46
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc7c5cc4-0a8a-4e28-9753-c9986ecd0125 · outbound

This paper cites Yolov4-5d: An effective and efficient object detector for autonomous driving,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Yolov4-5d: An effective and efficient object detector for autonomous driving,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:47.310789Z digest=sha256:51576aebbb93524620a2eb81a9b844202e7e4fc5d2793580ccc65addb35e59d6

Observation e7f7b147-a459-4cc7-b49c-3cc432ecc456 · outbound

This paper cites Yolov8-qsd: An improved small object detection algorithm for autonomous vehicles based on yolov8,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Yolov8-qsd: An improved small object detection algorithm for autonomous vehicles based on yolov8,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:47.396937Z digest=sha256:34312d2322357d166cb977c8909f4e4570810beb68f451be03dad10678fe413f

Observation 3c1b3ef7-4c8d-4153-b984-2c6e490eeeb7 · outbound

This paper cites Real-time object detection network in uav-vision based on cnn and transformer,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Real-time object detection network in uav-vision based on cnn and transformer,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8d74d03e-5e6c-4d73-90ac-e7d1a7a6bb54 · outbound

This paper cites Msffa-yolo network: Multiclass object detection for traffic investigations in foggy weather,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Msffa-yolo network: Multiclass object detection for traffic investigations in foggy weather,

Reference 4

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raw_fallback, observed 2026-08-07T12:56:02.439065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:47.569960Z digest=sha256:d708a930923051124d36828db64ddf2ff654eff8674c4622c2a8fdf8c04f7fc6

Observation 1a967fc9-b86f-45be-bff1-4ba444b579a9 · outbound

This paper cites Triangular chain closed-loop detection network for dense pedestrian detection,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Triangular chain closed-loop detection network for dense pedestrian detection,

Reference 5

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raw_fallback, observed 2026-08-07T12:56:02.373350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:47.662031Z digest=sha256:2ecd44b04a5a11d76d1562e3e43f974efd72376afd92a8855319e39f2caa3029

Observation 1ac80c00-3932-473f-9c3b-78ed3dfcae13 · outbound

This paper cites Pedestrian detection using stationary wavelet dilated residual super-resolution,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Pedestrian detection using stationary wavelet dilated residual super-resolution,

Reference 6

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raw_fallback, observed 2026-08-07T12:56:02.282263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:47.747479Z digest=sha256:a7b14f91a66725ab1e1f67c592e44637778e7d5a5a695ec32cff8f512ac87ed1

Observation d9acf15d-807c-4cd9-8c7e-56a08a459ed8 · outbound

This paper cites Miaf- net: A multi-information attention fusion network for field traffic sign detection,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Miaf- net: A multi-information attention fusion network for field traffic sign detection,

Reference 7

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raw_fallback, observed 2026-08-07T12:56:02.163676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:47.856362Z digest=sha256:1c1335f945beb1ff9b09c014c055fe622d8f51e4748a6dead4a288f51adc8e00

Observation b49d6726-9ba0-429b-a51f-8b9684d7455d · outbound

This paper cites Deep learning for large-scale traffic-sign detection and recognition,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Deep learning for large-scale traffic-sign detection and recognition,

Reference 8

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raw_fallback, observed 2026-08-07T12:56:02.056596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:47.990365Z digest=sha256:188e007478e43b22962633170375bfed0c34769c0cb12bb30c55f76110a9bd49

Observation b50256d9-62a6-469a-8105-d0de94b311f6 · outbound

This paper cites Obstacle detection and tracking for the urban challenge,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Obstacle detection and tracking for the urban challenge,

Reference 9

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raw_fallback, observed 2026-08-07T12:56:01.943765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:48.082617Z digest=sha256:e726175e9f1d66fd9b074ab5fd078f3a36af74a51ceed04777d0f3f28a1904d3

Observation 457dc913-de45-435c-a9c5-d45ab2502142 · outbound

This paper cites Camera as the instrument: The rising trend of vision based measurement,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Camera as the instrument: The rising trend of vision based measurement,

Reference 10

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raw_fallback, observed 2026-08-07T12:56:01.803781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:48.177141Z digest=sha256:b811f164e8ffe3083044bfedbf859f61d5195d53c966271484ccbf88a5eb813c

Observation 6ec4e37c-576d-4d2d-b0fd-6afa283b0eff · outbound

This paper cites Image enhancement based on equal area dualistic sub-image histogram equalization method,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Image enhancement based on equal area dualistic sub-image histogram equalization method,

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:48.257409Z digest=sha256:ffb4c01aa415b07a14634ceab554ddf54ed63658749e2fa22b2459d40b2374f3

Observation 67ba054c-46e7-4d23-94a1-b0b225f2bdf6 · outbound

This paper cites An adaptive brightness preserv- ing bi-histogram equalization,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems An adaptive brightness preserv- ing bi-histogram equalization,

Reference 12

Resolution
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raw_fallback, observed 2026-08-07T12:56:01.587343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:48.347753Z digest=sha256:d39930a2490a15f2d74862493f19bbd7899f6e2439025464d6edeaae27abd84b

Observation 0098b19f-c73f-4ce7-8624-f8b9adc6a05b · outbound

This paper cites (2025) Uniad plenary talk slides.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems (2025) Uniad plenary talk slides

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:48.439868Z digest=sha256:5fbd572b6ef1afeb91b7734fb810d06c0379e3baad94dd86d30b01e8cba27a46

Observation 434a3e05-1d1f-4028-bb20-bbedff3279a6 · outbound

This paper cites an unresolved cited work.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:48.572744Z digest=sha256:010d95a3420446731a0b5d575d7963a3fad1fcaec5b2f099be2a5b6cc532bb9d

Observation 900de7f2-9556-4767-b535-c6d9a3b1b778 · outbound

This paper cites (2025) Document search engine.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems (2025) Document search engine

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:48.707453Z digest=sha256:5d1aa0e35d61f5b8896d467b37720698318d6fb08e40f8e833dd27a06912e36c

Observation d64cd90f-5773-4812-a7d9-e766be9c456a · outbound

This paper cites (2025) Image search engine.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems (2025) Image search engine

Reference 16

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raw_fallback, observed 2026-08-07T12:56:01.253553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:48.837716Z digest=sha256:6aed53a7c8c332d5103d739a55a792c8539b798c4639032b551ff16092712441

Observation b191de1d-a376-40a7-ad18-eece322c458f · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:48.950704Z digest=sha256:c004e47c3a0d0712f0ff320c6a6b773c57bf8e08b6f84ea3d0f39e2803dfecff

Observation 5b37a7fa-60db-40d5-9191-f2960f6359f2 · outbound

This paper cites Fast r-cnn,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Fast r-cnn,

Reference 18

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no resolver link, observed 2026-08-07T12:55:49.076028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:49.076028Z digest=sha256:d3aef2c61654e9f5a1bbb5ca33947060f0b8b8c433fea34db5a6c228d75dac39

Observation b4e8bd9b-36c8-4ed9-97bd-ac09fcd6275d · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:49.189332Z digest=sha256:8a32c76cfcf797ec40e8100222a4d59cf3e54b1d7e3672da18b9dcd380dd3afb

Observation d2d23307-f09b-40a8-938f-b652f7a18aaf · outbound

This paper cites You only look once: Unified, real-time object detection,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems You only look once: Unified, real-time object detection,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:49.275479Z digest=sha256:9bec28d8f4a0af2aa0018745717f02aedaab2b96f5cef59af505e7ac1581fb75

Observation 56894b78-c1e0-4892-877a-bb2c9c4ebec4 · outbound

This paper cites Ssd: Single shot multibox detector,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Ssd: Single shot multibox detector,

Reference 21

Resolution
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raw_fallback, observed 2026-08-07T12:56:01.025120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:49.342578Z digest=sha256:11a439b505a39c841a77faff07780c5c70efa6c55b1c33dead575d5601dea9df

Observation f88899d2-2167-41b7-a32b-b661e3a0be8e · outbound

This paper cites An improved ssd-like deep network-based object detection method for indoor scenes,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems An improved ssd-like deep network-based object detection method for indoor scenes,

Reference 22

Resolution
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raw_fallback, observed 2026-08-07T12:56:00.812466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 13e0155a-3333-4715-9270-db058321a7d4 · outbound

This paper cites A multiscale retinex for bridging the gap between color images and the human observation of scenes,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems A multiscale retinex for bridging the gap between color images and the human observation of scenes,

Reference 23

Resolution
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raw_fallback, observed 2026-08-07T12:56:00.570599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 399cb546-da8b-4bab-a9b5-e633a1057cc8 · outbound

This paper cites Kindling the darkness: A practical low-light image enhancer,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Kindling the darkness: A practical low-light image enhancer,

Reference 24

Resolution
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no resolver link, observed 2026-08-07T12:55:49.686270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:49.686270Z digest=sha256:ba97d7dc4b2a5044260b08a9065599c36b46d09400569b16794696995679a114

Observation 8396f4c6-9e1d-40a8-9f2e-ea28686428a7 · outbound

This paper cites Retinexdip: A unified deep framework for low-light image enhancement,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Retinexdip: A unified deep framework for low-light image enhancement,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:00.388180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 367c3ac7-ee7a-4fb1-ba5b-067cb9bf84af · outbound

This paper cites Learning to enhance low-light image via zero-reference deep curve estimation,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Learning to enhance low-light image via zero-reference deep curve estimation,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:00.224042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a848a8c0-018f-4569-99ae-4a825859e0c3 · outbound

This paper cites Adaptive histogram equalization and its variations,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Adaptive histogram equalization and its variations,

Reference 27

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raw_fallback, observed 2026-08-07T12:56:00.071886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:50.063816Z digest=sha256:c0bc317240a899fe7d5deabe165a1c31286ef3f723969f8325fb55bbb33da3cf

Observation 7e07545b-40be-4d4d-934b-b178ca6b4a73 · outbound

This paper cites Properties and performance of a center/surround retinex,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Properties and performance of a center/surround retinex,

Reference 28

Resolution
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raw_fallback, observed 2026-08-07T12:55:59.933109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:50.246002Z digest=sha256:7012840e1240e9209c88497c61f6048f3010a0057ea773b89a88fea176d989b4

Observation b4491992-cfb0-4467-a600-c2ebaf70f2e3 · outbound

This paper cites A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement

Reference 29

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local_arxiv, observed 2026-08-07T12:55:56.830749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:50.393302Z digest=sha256:3e1f4f555c0d90d0996146c78b97f85a4d4e6f3906b608725098fd674dd043f1

Observation a644703b-f942-436b-b763-8d979503f4ed · outbound

This paper cites Improved measurement of camera re- sponse function and its performance evaluation,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Improved measurement of camera re- sponse function and its performance evaluation,

Reference 30

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raw_fallback, observed 2026-08-07T12:55:59.883950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:50.543828Z digest=sha256:e455160ebbd01de045f8a460788cd9a84869750812d83eb76111a832c5c334dc

Observation 01bf9e48-b0ec-4456-a5e2-a867a0585175 · outbound

This paper cites MSR-net:Low-light Image Enhancement Using Deep Convolutional Network.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems MSR-net:Low-light Image Enhancement Using Deep Convolutional Network

Reference 31

Resolution
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local_arxiv, observed 2026-08-07T12:55:56.646216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:50.689673Z digest=sha256:35772eac55bd2ccf7270a31f12213ef7f533ec27e08e8a0269a97ff338028a0e

Observation d567e868-b6e5-4332-8bdd-f95401dc8252 · outbound

This paper cites Lightennet: A convolutional neural network for weakly illuminated image enhancement,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Lightennet: A convolutional neural network for weakly illuminated image enhancement,

Reference 32

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raw_fallback, observed 2026-08-07T12:55:59.820285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:50.825807Z digest=sha256:5542ceae357720f27f159992eec90bd349a17ea529321fd425a245373184af95

Observation df618e63-ae5c-486e-84eb-442ee7f0c717 · outbound

This paper cites Deep Retinex Decomposition for Low-Light Enhancement.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Deep Retinex Decomposition for Low-Light Enhancement

Reference 33

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no resolver link, observed 2026-08-07T12:55:50.928088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:50.928088Z digest=sha256:629aae48088581dc5499910f2c520f6cabc52650f9e15146b28d897e20a9b7cd

Observation 0f247a87-3a92-4ace-bc94-26f132f6ff74 · outbound

This paper cites Beyond brightening low-light images,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Beyond brightening low-light images,

Reference 34

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no resolver link, observed 2026-08-07T12:55:51.035956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:51.035956Z digest=sha256:121c60ef04c962332a62709bd4d22f71d3b66267bde588c96c18904441acb9dc

Observation 9bc47250-9af2-4e90-9a76-02ee774f98ff · outbound

This paper cites Llnet: A deep autoencoder approach to natural low-light image enhancement,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Llnet: A deep autoencoder approach to natural low-light image enhancement,

Reference 35

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source=pdf_text observed=2026-08-07T12:55:51.122717Z digest=sha256:c3bb8d4df4c8047c27b2d6978a377b0d04c72dde4d742faf2016deafbdd9e24a

Observation b94e664e-9003-4204-b2f7-0f5bb0cbf29d · outbound

This paper cites SID-NISM: A Self-supervised Low-light Image Enhancement Framework.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems SID-NISM: A Self-supervised Low-light Image Enhancement Framework

Reference 36

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local_arxiv, observed 2026-08-07T12:55:56.514208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:51.216656Z digest=sha256:1f811f8c531c390ca1de29fd695aafa2177d50f3e8494ae4b3dd7c2363d8d079

Observation 17e278d8-55c7-40d0-a4a6-0b992dc5e101 · outbound

This paper cites Wespe: weakly supervised photo enhancer for digital cameras,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Wespe: weakly supervised photo enhancer for digital cameras,

Reference 37

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raw_fallback, observed 2026-08-07T12:55:59.766215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:51.326508Z digest=sha256:225b2f051fd8d962989aa63735e202dcbbaa1ba50666e5e3ce6525c6607b7d76

Observation 8b0d9646-a7db-47f2-9609-a0bb4d2b4bf3 · outbound

This paper cites Enlightengan: Deep light enhancement without paired supervision,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Enlightengan: Deep light enhancement without paired supervision,

Reference 38

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source=pdf_text observed=2026-08-07T12:55:51.423020Z digest=sha256:a1cd1b76173706c3ba857fbfc3b13c502b455ea843a3c50817c96a363aa37661

Observation 0faee14e-2829-4188-94b0-96790c975000 · outbound

This paper cites Generative adversarial nets,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Generative adversarial nets,

Reference 39

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:51.539855Z digest=sha256:99ee34449e26ac8d8ca542b4c478f596908c843fc446eb5c9d933b0f2a423495

Observation 5e1272cc-a632-4e53-bc79-ef6ad3dce25b · outbound

This paper cites A lowlight image enhancement method learning from both paired and unpaired data by adversarial training,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems A lowlight image enhancement method learning from both paired and unpaired data by adversarial training,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:55:59.712143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:51.648859Z digest=sha256:10d2ceab3ffbf2e82747f5aeb0d59584055fedf6a65074c85b4269be59fdfcee

Observation fc63cb74-f43b-4152-a975-ee8dfdb9a780 · outbound

This paper cites Band representation- based semi-supervised low-light image enhancement: Bridging the gap between signal fidelity and perceptual quality,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Band representation- based semi-supervised low-light image enhancement: Bridging the gap between signal fidelity and perceptual quality,

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-07T12:55:59.525090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:51.759239Z digest=sha256:4878a8a0f8017faf0eaf97be09f5337beb77b8039f5289bfd994883dd198f463

Observation 8f00347a-c88b-40af-80b4-fd29819f2090 · outbound

This paper cites Toward fast, flexible, and robust low-light image enhancement,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Toward fast, flexible, and robust low-light image enhancement,

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-07T12:55:59.408575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:51.891019Z digest=sha256:7802937c13e27c0aea946dbfbd4331a624b53252035d16d1bb18937d07e48564

Observation f9d5ef39-c0e0-4cf9-9d07-eded7d2d1196 · outbound

This paper cites Unsupervised illumination adaptation for low-light vision,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Unsupervised illumination adaptation for low-light vision,

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-07T12:55:59.245563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:52.005058Z digest=sha256:ca536646f40bb25cd95e973c3d3886f2d54cc0195c8e6cb614559da6bb7587ee

Observation 2e594200-aa84-4a41-8c08-35158cc96af0 · outbound

This paper cites Attention is all you need,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Attention is all you need,

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-07T12:55:59.091180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:52.112945Z digest=sha256:4e515da3551cd6bbc4f0cdf5804e22eea9a548eb7fc330e1a406a4465d5b843b

Observation e69895d4-af4c-4e5c-9adc-187017e2ddea · outbound

This paper cites Retinex- former: One-stage retinex-based transformer for low-light image en- hancement,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Retinex- former: One-stage retinex-based transformer for low-light image en- hancement,

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:52.214676Z digest=sha256:594f7e906877b7a8e6400a17b43276ab8194718f6dc13dc269726ced61cadd19

Observation 43454ed9-04eb-497e-b590-eac6ea8ea1c4 · outbound

This paper cites Upt-flow: Multi-scale transformer-guided normalizing flow for low-light image enhancement,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Upt-flow: Multi-scale transformer-guided normalizing flow for low-light image enhancement,

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-07T12:55:59.029885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:52.287266Z digest=sha256:7e462e18559dea3838097811ef723150e499ed3824bf8d3fa8c1950f927b9f74

Observation d204a81a-fe1d-47db-a33b-6b90ed37123f · outbound

This paper cites You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:52.430275Z digest=sha256:a752d2e64fb1c7f5f6c65a5743d57cd6b1a73dd8dfb79f4717c1ec7db76e89f4

Observation faf2af60-b134-4927-b1e3-67c03c8937c7 · outbound

This paper cites Ffenet: Learning frequency features for low-light enhancement,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Ffenet: Learning frequency features for low-light enhancement,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:55:59.003945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:52.556667Z digest=sha256:a5e580125ed2eafdaff1a0fb57d5a2536f89bc44a86f61f7096ea59eeb764a61

Observation 55c609f5-b5f3-47ae-8d08-5718d0be0306 · outbound

This paper cites Gaca: a gradient- aware and contrastive-adaptive learning framework for low-light image enhancement,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Gaca: a gradient- aware and contrastive-adaptive learning framework for low-light image enhancement,

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-07T12:55:58.966130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:52.654175Z digest=sha256:c1e961dcb9ef5c5b11f4aee2e186114a27162d89d90c826a572008349b1c836c

Observation 03f25ef7-b8c9-4912-a50c-760147f472e4 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Imagenet classification with deep convolutional neural networks,

Reference 50

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no resolver link, observed 2026-08-07T12:55:52.749213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:52.749213Z digest=sha256:41b2d2c1fdb169cf086f8b7a0b6dde94471e354ca46f7ab6524fd45a7b6a1f86

Observation 2e3a50ab-cb19-47c5-94ce-4f52cda0b020 · outbound

This paper cites Spatial pyramid pooling in deep convolutional networks for visual recognition,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Spatial pyramid pooling in deep convolutional networks for visual recognition,

Reference 51

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:52.802218Z digest=sha256:3f01b4e6b0c7576c64cf012d3955ef677eabb24945495df99438f23fa21a4403

Observation 7e56352f-632c-4d06-84e2-65a118fbfb0e · outbound

This paper cites Focal loss for dense object detection,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Focal loss for dense object detection,

Reference 52

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no resolver link, observed 2026-08-07T12:55:52.938285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:52.938285Z digest=sha256:13c653a4b5070698dd2eedccb797909354ec1b14a13f12e4ea408e46bf88c558

Observation 3b36cf25-139c-4d95-9f5b-feea2fe54cee · outbound

This paper cites Cornernet: Detecting objects as paired keypoints,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Cornernet: Detecting objects as paired keypoints,

Reference 53

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no resolver link, observed 2026-08-07T12:55:53.084272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:53.084272Z digest=sha256:f10d5ede3b1dabe396e049a2d12716510932e1e7079f49e0fe7c6a90d1be72d9

Observation a2650d13-3153-4491-9ce1-7b63ef9a265f · outbound

This paper cites Objects as Points.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Objects as Points

Reference 54

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:53.212058Z digest=sha256:0cd57003be5359ff8648240064588d18828ea9739be44f9073eae05124bf103a

Observation 25e84d5e-fb91-4fd2-bd30-64bf7eaeb9a7 · outbound

This paper cites Fcos: Fully convolutional one- stage object detection,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Fcos: Fully convolutional one- stage object detection,

Reference 55

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:53.309930Z digest=sha256:61ff4e858d97f3907d1a08cff5e7994c1ad6e0fc01670afd9f6ec4cea042b683

Observation d8828c14-038a-4d47-945c-0057037b5e8a · outbound

This paper cites Yolov10: Real-time end-to-end object detection,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Yolov10: Real-time end-to-end object detection,

Reference 56

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no resolver link, observed 2026-08-07T12:55:53.427266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:53.427266Z digest=sha256:785a8e9c18e699e51980e8c4d76af2c3912ba0904b64eb45f2d5625010d32ad0

Observation fcb040b6-8144-4ba3-bfe9-62f8dd44cfb2 · outbound

This paper cites YOLOv12: Attention-Centric Real-Time Object Detectors.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems YOLOv12: Attention-Centric Real-Time Object Detectors

Reference 57

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:55:53.497442Z digest=sha256:87bd6668937253080f99fe06fe3e9802a4070ac199b928853eb074ff038bb9a1

Observation 16842d78-e3c7-45f4-af91-a9cfa00e4b48 · outbound

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

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems End-to-end object detection with transformers,

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:53.608071Z digest=sha256:57d5158bcc107d5088ca8ebe68003bf864d4011ecb3b6ea54194529b480fd177

Observation d2b77932-993d-4a9b-a943-f371e99a47ef · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 59

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:53.699518Z digest=sha256:6e5b054c7607676bdf81f6d4195b6f5ff5ba0f53be07815cdb068041ca07658d

Observation 09a1cc62-a3c1-4fc0-845f-18efb0a14525 · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:53.861833Z digest=sha256:7923d9e4b5236965b6eff8667b22219d6767b9b7488c1e96006ef4aa7a0d3724

Observation 7a33b337-1cbf-45a8-9380-9796b6249de2 · outbound

This paper cites Pia: parallel architecture with illumination allocator for joint enhancement and detection in low-light,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Pia: parallel architecture with illumination allocator for joint enhancement and detection in low-light,

Reference 61

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raw_fallback, observed 2026-08-07T12:55:58.825532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:54.003399Z digest=sha256:a908eb02a5839dd6c2960585ba737f80e39fb3c096f49a90810dd176170b5225

Observation bd3ca049-a9cf-4da4-8288-444a9596a4ef · outbound

This paper cites Rethinking image restoration for object detection,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Rethinking image restoration for object detection,

Reference 62

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raw_fallback, observed 2026-08-07T12:55:58.688275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:54.153013Z digest=sha256:f40dd482e772e5c99864322c4c1b54603e06dc5b788641d429643fb8cad7eb2c

Observation ff46c0bc-d1ac-464a-b786-6e06641d5afb · outbound

This paper cites Domain adaptive faster r-cnn for object detection in the wild,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Domain adaptive faster r-cnn for object detection in the wild,

Reference 63

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no resolver link, observed 2026-08-07T12:55:54.262554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:54.262554Z digest=sha256:279bb366c21059de22ac9afb8df2609504afd7ad1b2d0002189db28c504b88f1

Observation 4482ec2c-89c5-4743-93de-ca4d16609e00 · outbound

This paper cites Cross domain object detection by target-perceived dual branch distillation,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Cross domain object detection by target-perceived dual branch distillation,

Reference 64

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raw_fallback, observed 2026-08-07T12:55:58.515140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:54.364119Z digest=sha256:b3d904378d03abe49b40e3ce29abb229da741e92eea51ccb000681d39aeeb203

Observation fcfa990b-3423-4550-b0c2-a8abf4aa108e · outbound

This paper cites Cross-domain adaptive teacher for object detection,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Cross-domain adaptive teacher for object detection,

Reference 65

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raw_fallback, observed 2026-08-07T12:55:58.444813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:54.492891Z digest=sha256:8f675a7a3e46faf9f2d7412784785b63e8f495de438ff98020a0e07e14f3cae8

Observation f87ea18d-9302-4b45-a183-96966c996aa3 · outbound

This paper cites Unbiased mean teacher for cross- domain object detection,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Unbiased mean teacher for cross- domain object detection,

Reference 66

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raw_fallback, observed 2026-08-07T12:55:58.291118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:54.616530Z digest=sha256:bdafe1246063f630839ce219fcdd62efc24b6a8035ee6520a05a1a67283a1edd

Observation e05dea1c-138e-4264-b46d-bc7c490118ac · outbound

This paper cites Boosting object detection with zero- shot day-night domain adaptation,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Boosting object detection with zero- shot day-night domain adaptation,

Reference 67

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raw_fallback, observed 2026-08-07T12:55:58.155732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:54.768516Z digest=sha256:98423c46a17184705199fea88220cc6e67e09f0a8fadd1951dc05b1bd2e4cef6

Observation 7b201c4e-3624-45a9-b19c-a953d88d2959 · outbound

This paper cites 2pcnet: Two-phase consistency training for day-to-night unsupervised domain adaptive object detection,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems 2pcnet: Two-phase consistency training for day-to-night unsupervised domain adaptive object detection,

Reference 68

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:54.928069Z digest=sha256:5701386025a7e478f6d9ba7cef5d53dad5b438b888f341fbd3532c14302b9773

Observation 7b60584d-801f-427f-85b9-733277ed82aa · outbound

This paper cites Wsa-yolo: Weak-supervised and adaptive object detection in the low-light environment for yolov7,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Wsa-yolo: Weak-supervised and adaptive object detection in the low-light environment for yolov7,

Reference 69

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raw_fallback, observed 2026-08-07T12:55:58.009212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:55.077048Z digest=sha256:41da3e1e9097c412b6a826c2a64e92ab58bc1d583c1d3e8c5e1a0bc37ff348dc

Observation c99bd57b-748a-4274-a956-12dea48fd7cb · outbound

This paper cites Steps: Joint self-supervised nighttime image enhancement and depth estimation,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Steps: Joint self-supervised nighttime image enhancement and depth estimation,

Reference 70

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raw_fallback, observed 2026-08-07T12:55:57.947967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:55.234018Z digest=sha256:495db1d821f4e792bd4bffaaf279114aed9f2868e36a5fdf7f93fdc01bf99323

Observation d6da62af-fb4c-41de-8bbc-006477fce88b · outbound

This paper cites Inception-v4, inception-resnet and the impact of residual connections on learning,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Inception-v4, inception-resnet and the impact of residual connections on learning,

Reference 71

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unresolved
no resolver link, observed 2026-08-07T12:55:55.318480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:55.318480Z digest=sha256:e6d929b08277bb46d933037fe195de43a9b63e7a7616ec4c9af63b1b8f526161

Observation d09d28c6-c3ea-48d6-bc42-8567b50ed5c6 · outbound

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

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Bdd100k: A diverse driving dataset for heterogeneous multitask learning,

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T12:55:55.473902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:55.473902Z digest=sha256:5567a8079e697b6cbc461292c4d88e16f6f6464dbd10410f856ddef3d68761d6

Observation cb91ee99-ba9f-4aef-9ded-f4d4502baa32 · outbound

This paper cites Shift: a synthetic driving dataset for continuous multi-task domain adaptation,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Shift: a synthetic driving dataset for continuous multi-task domain adaptation,

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T12:55:55.527582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:55.527582Z digest=sha256:71b263928c2333ce164ac022de44efe2ae6144abe2224766c0e9d65768c5adb8

Observation 2d5b0088-24cc-42aa-8470-ed90d9208f50 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems nuscenes: A multimodal dataset for autonomous driving,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:55:57.788522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:55.605810Z digest=sha256:1746c46330d61ac4234233692748753c487981045c6e6cfb63721f3f4033595e

Observation 9e8ea2ec-6992-4a05-8367-ae4bfa2f0ff6 · outbound

This paper cites Google maps,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Google maps,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:55:57.618897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:55.687741Z digest=sha256:30ee1e4c536d8a8729363b9aa06884b3bc9cf5f5be95b845556dfb3f749f1dc6

Observation 14222dec-7a60-4170-bc8c-3f4c971b546d · outbound

This paper cites Machine learning in mea- surement part 2: Uncertainty quantification,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Machine learning in mea- surement part 2: Uncertainty quantification,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:55:57.464662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:55.795831Z digest=sha256:b0c677724fe8087074ed6107e7fe04062beba61b64b7c318548b70735e49f9a3

Observation f80676a7-fa68-495e-883b-dad4ce19684a · outbound

This paper cites Machine learning in mea- surement part 1: Error contribution and terminology confusion,.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Machine learning in mea- surement part 1: Error contribution and terminology confusion,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:55:57.404007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:55.880614Z digest=sha256:4e227b398b29101b9d2487eff40bc13063dbefd5a03fdb6fa850b71d3d6227ac

Observation a7743487-0f2b-4441-aaf4-99e110ea5205 · outbound

This paper cites Self-supervised Image Enhancement Network: Training with Low Light Images Only.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Self-supervised Image Enhancement Network: Training with Low Light Images Only

Reference 78

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:55:56.316662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:55.957231Z digest=sha256:a410f64e6646dbaecf8e3e4fa31aaba984544a2a3f2e02039ad535924b71818f

Observation 98c73de9-88b4-4553-8008-768214cac4b7 · outbound

This paper cites an unresolved cited work.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems Unresolved cited work

Reference 2008

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:55:57.162811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:56.123726Z digest=sha256:88ee9acafe281fff7b8f9b56112ae4660481e5f786c5e86c4e1756b404052889

Observation 4e1915a1-ec03-43f7-a007-5b3b04088012 · outbound

This paper cites degree in Control Science and Engineering at Sun Yat-sen University, Shenzhen, 518107, Guangdong, China.

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems degree in Control Science and Engineering at Sun Yat-sen University, Shenzhen, 518107, Guangdong, China

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:55:57.301904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:55:56.038037Z digest=sha256:bb5f074e7431609ff400efda847392c3a0b09e21d1860dd07c83e877d687ac92

Pith citing papers

No inbound Pith citation observations are available.