Paper Citation Record · LEDGER

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2505.24705.

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

pith.paper-citation-record.v1
2505.24705 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:18:27.696324Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:18:24.635956Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:57:38.130354Z

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy26
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 046bade2-5fdc-4a1e-b6ee-9cfcd71c419c · outbound

This paper cites RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:18:24.635956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc71fc07-0b9f-4e35-8250-fde256f24e20 · outbound

This paper cites Low-Light Image Enhancement Low-light image enhancement is challenging due to dynamic illumination and noise in nighttime conditions.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Low-Light Image Enhancement Low-light image enhancement is challenging due to dynamic illumination and noise in nighttime conditions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:34.445499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 514fc983-1b93-4bf0-97b9-d149dc8bdd27 · outbound

This paper cites illuminated.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement illuminated

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:34.289919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c779b85-5794-4fdc-8d5d-ee39c53b5650 · outbound

This paper cites an unresolved cited work.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:18:34.067817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7ea37837-0e7a-4e5f-9334-80c29ecef737 · outbound

This paper cites Quantitative comparison of RT-X Net with baseline methods on LLVIP and V-TIEE dataset.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Quantitative comparison of RT-X Net with baseline methods on LLVIP and V-TIEE dataset

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:33.870927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 55c7073e-39d1-4ea7-be76-a8175c0478d3 · outbound

This paper cites an unresolved cited work.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:18:33.687369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9d03b1a8-9bb4-4cc7-a519-f0917b1470a9 · outbound

This paper cites The experimental results demonstrate that the proposed approach outperforms recent state-of-the-art methods by effectively incorporating ther- mal information.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement The experimental results demonstrate that the proposed approach outperforms recent state-of-the-art methods by effectively incorporating ther- mal information

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:33.550732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 493f3eaa-515b-4905-9fef-29d465974519 · outbound

This paper cites Degan: Mixed noise removal via generative adversarial net- works,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Degan: Mixed noise removal via generative adversarial net- works,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:33.407242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f9d1c42a-f630-4464-8702-87ee1c4b6400 · outbound

This paper cites Deep multi-scale convolutional neural network for dy- namic scene deblurring,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Deep multi-scale convolutional neural network for dy- namic scene deblurring,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:33.239667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45f859a0-5b24-40f6-9d4e-12d4fd267af1 · outbound

This paper cites Deblurgan: Blind motion deblurring using conditional adversarial net- works,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Deblurgan: Blind motion deblurring using conditional adversarial net- works,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:33.012729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3b51929c-13f5-4210-af67-827c5fafab68 · outbound

This paper cites Learn- ing a single convolutional super-resolution network for multiple degradations,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Learn- ing a single convolutional super-resolution network for multiple degradations,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:32.848174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ef286e1d-4d48-422e-9d55-1e9c8f239f28 · outbound

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

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Deep Retinex Decomposition for Low-Light Enhancement

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:18:25.993984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8a432bc-5ca1-4aff-ac53-23ad7e271263 · outbound

This paper cites Retinexformer: One-stage retinex-based transformer for low-light image enhance- ment,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Retinexformer: One-stage retinex-based transformer for low-light image enhance- ment,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:32.620314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e544958a-ea9f-4a4f-9d63-d208d0c6f577 · outbound

This paper cites Snr-aware low-light image enhancement,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Snr-aware low-light image enhancement,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:32.402302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e43d346f-3d82-4559-893f-307fea2ec271 · outbound

This paper cites Global structure-aware dif- fusion process for low-light image enhancement,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Global structure-aware dif- fusion process for low-light image enhancement,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:32.189259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 465bbed5-97b3-421f-b623-b82ef49e2eeb · outbound

This paper cites On the role of thermal imaging in automotive applications: A critical review,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement On the role of thermal imaging in automotive applications: A critical review,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:31.923525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53230a32-68d5-48aa-a7be-adec50d27c48 · outbound

This paper cites Mfnet: Towards real-time semantic segmentation for autonomous vehi- cles with multi-spectral scenes,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Mfnet: Towards real-time semantic segmentation for autonomous vehi- cles with multi-spectral scenes,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:31.725740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ca9911f5-5484-43a7-8c9b-60a9cf56fb14 · outbound

This paper cites Cmx: Cross- modal fusion for rgb-x semantic segmentation with transformers,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Cmx: Cross- modal fusion for rgb-x semantic segmentation with transformers,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:31.570186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation faa9665d-b722-4626-89eb-b006a927d8ff · outbound

This paper cites Contextual and vari- ational contrast enhancement,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Contextual and vari- ational contrast enhancement,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:31.361178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cb52a364-1629-46ea-886b-4bc6e57f5499 · outbound

This paper cites Learning to see in the dark,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Learning to see in the dark,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:31.121145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 83ac945d-c41e-4cb3-b99c-22a408d116c2 · outbound

This paper cites Low-light image en- hancement with normalizing flow,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Low-light image en- hancement with normalizing flow,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:30.891470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ebdbf4a-f418-4b65-ab85-d0b87d1e6703 · outbound

This paper cites Ultra-high- definition low-light image enhancement: A benchmark and transformer-based method,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Ultra-high- definition low-light image enhancement: A benchmark and transformer-based method,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:30.644341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b631c0a9-c174-4b29-b9af-94588996e517 · outbound

This paper cites Enlightengan: Deep light enhance- ment without paired supervision,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Enlightengan: Deep light enhance- ment without paired supervision,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:30.429893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 34ac539a-3125-4905-bf32-182bde9ae5b9 · outbound

This paper cites Elegan: An efficient low light enhancement gan for unpaired supervision,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Elegan: An efficient low light enhancement gan for unpaired supervision,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:30.188872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a98bae1-5976-4107-82de-03aef748649c · outbound

This paper cites Rgb and lut based cross atten- tion network for image enhancement.,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Rgb and lut based cross atten- tion network for image enhancement.,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:29.659626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4906188a-8c1c-449f-b939-8e60c989c226 · outbound

This paper cites Rtfnet: Rgb- thermal fusion network for semantic segmentation of ur- ban scenes,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Rtfnet: Rgb- thermal fusion network for semantic segmentation of ur- ban scenes,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:28.990714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2833f0d0-55c4-4e2d-b5a5-49f19bceb114 · outbound

This paper cites A deep thermal-guided approach for effective low-light visible image enhancement,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement A deep thermal-guided approach for effective low-light visible image enhancement,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:28.694722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e14a03f-e05c-42a4-9615-37f913ce0bec · outbound

This paper cites Llvip: A visible-infrared paired dataset for low-light vision,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Llvip: A visible-infrared paired dataset for low-light vision,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:28.330495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 428a4f7c-914a-4ea9-b56e-efac171d8871 · outbound

This paper cites Noise-optimal capture for high dynamic range photography,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Noise-optimal capture for high dynamic range photography,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:28.165262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 77853a15-d867-42e8-ab42-ae4fb99f8386 · outbound

This paper cites Kin- dling the darkness: A practical low-light image en- hancer,.

RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement Kin- dling the darkness: A practical low-light image en- hancer,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:18:27.909657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 046bade2-5fdc-4a1e-b6ee-9cfcd71c419c · inbound