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Paper Citation Record · LEDGER

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP

As of 23 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2505.23743.

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

pith.paper-citation-record.v1
2505.23743 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:44:17.563851Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

56 of 56 outbound references displayed

  • verified exact0
  • verified fuzzy48
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 128b8633-5851-4945-828e-e041a50f829d · outbound

This paper cites Noise flow: Noise modeling with conditional normalizing flows.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Noise flow: Noise modeling with conditional normalizing flows

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T12:44:24.133112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:13.150307Z digest=sha256:7f7c7ba904053ecfb8852025ff60f52b0199a5a0961fca4720f039c8badaf354

Observation 2dc0f5ec-b5dc-422d-a6d3-bf8a47878921 · outbound

This paper cites The perception-distortion tradeoff.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP The perception-distortion tradeoff

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T12:44:24.021752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:13.245781Z digest=sha256:2e5fb4b1091f9818813e9a71b192c7f2bbc591e9a2baaa89c70adaefc931406c

Observation b1a57faf-9861-4bfc-8787-7b16d661abc7 · outbound

This paper cites Unpro- cessing images for learned raw denoising.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Unpro- cessing images for learned raw denoising

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:23.869101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:13.317684Z digest=sha256:8a83e656d068694ac3fade0bbc228bff5e1244dd77047d5c293a28e5f74db6ac

Observation a0257a2b-1a2c-4d07-9b76-2e3ffa2ab623 · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Instructpix2pix: Learning to follow image editing instructions

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:23.673081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:13.448742Z digest=sha256:72074f4a137020722f1d453b04e691ba434cde8252b33db8e6f5721d143b4c41

Observation 0790ae77-3cdf-48b8-b0a0-88d1c967959e · outbound

This paper cites Learning to see in the dark.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Learning to see in the dark

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T12:44:23.508679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:13.525786Z digest=sha256:70ff48176d07f098ba09a0cead793120e52b8901774a4fed0b4a1975a47bf9db

Observation b500ed4f-d5f2-4bf1-96f8-954d91080896 · outbound

This paper cites CrossViT: Cross-attention multi-scale vision transformer for image classification.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP CrossViT: Cross-attention multi-scale vision transformer for image classification

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:23.429361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:13.602574Z digest=sha256:d3922dc4176c536486a2b6e9c36898382acd9d0bd19317b958c9e248da309f55

Observation 307b06ee-8a54-4197-a747-24b28bc93c3c · outbound

This paper cites Training-free layout control with cross-attention guidance.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Training-free layout control with cross-attention guidance

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T12:44:23.321493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:13.755889Z digest=sha256:8b8c5ba4e46fe3b7e789c7ac31f20c4b74a36761baa4d58853785fe72acb4a66

Observation bce12096-ead8-4970-bc94-ac7433e8cc75 · outbound

This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:23.174785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:13.865884Z digest=sha256:73c096f1e89c49971d88abf61e8d8d51fac48f7755beb5fa3a3734d1ca6fdc85

Observation f14eb92b-ea2e-4ecd-b8a4-2f044c3e89f6 · outbound

This paper cites PPformer: Using pixel-wise and patch-wise cross-attention for low-light image enhancement.Computer Vision and Image Understanding, 241:103930, 2024.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP PPformer: Using pixel-wise and patch-wise cross-attention for low-light image enhancement.Computer Vision and Image Understanding, 241:103930, 2024

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:23.015099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:13.977007Z digest=sha256:1f75e75ffff4ece6352bfcc521e416655f55359da91196d64b64e02d35eed9f8

Observation b15134fc-dea1-4a5d-917a-0a3544273b69 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Taming transformers for high-resolution image synthesis

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:22.839158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:14.071727Z digest=sha256:5a94090b22668f02059a36f3eceead0f47e226e0b047989a95e6ca8b2005ee9f

Observation 2c2041dd-0e47-4937-976b-86a7df454e2e · outbound

This paper cites Generative diffusion prior for unified image restoration and enhancement.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Generative diffusion prior for unified image restoration and enhancement

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:22.634793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:14.158126Z digest=sha256:ceb1d93d76e6b2db247eba57d15a51670c9937b8c7bbfdab3dd32da0c5e7621b

Observation 1db64bf7-7a84-46a1-bcad-1b6fdd5a0e54 · outbound

This paper cites Implicit diffusion models for continuous super-resolution.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Implicit diffusion models for continuous super-resolution

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:22.496804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:14.274964Z digest=sha256:157742b6132a5ed4658b6cbad853e7b18d1c1bd5cb0335f73403c0cc86f62dfc

Observation 6b2acd08-b091-47f6-88d9-37bb902c6629 · outbound

This paper cites Pipal: a large-scale image quality assessment dataset for perceptual image restoration.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Pipal: a large-scale image quality assessment dataset for perceptual image restoration

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-07T12:44:22.321452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:14.400350Z digest=sha256:c09e497a883b42c3314aba022ef32e2f7c999e07b41507b215e6f55836e264dd

Observation 71af173b-4a2c-4604-b12e-99fca86ad3e6 · outbound

This paper cites Ren, Radu Timofte, Yuan Gong, Shanshan Lao, and et al Shi, Shuwei.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Ren, Radu Timofte, Yuan Gong, Shanshan Lao, and et al Shi, Shuwei

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:22.199443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:14.539882Z digest=sha256:d701b6881e5a0d679c32e138f90c7eec8b34884101625c35b93b3f7ae23a9d3e

Observation 05dce9a8-d601-4152-881a-853c5ab028b0 · outbound

This paper cites Low-light image enhancement via breaking down the darkness.IJCV, 2023.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Low-light image enhancement via breaking down the darkness.IJCV, 2023

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:22.122581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:14.667532Z digest=sha256:56903efeade61c3770f624fde3172ad469518e11e9b7d515af644997ad3b4ab5

Observation 28bc512b-454e-466b-8416-e854199a1996 · outbound

This paper cites Lime: Low-light image enhancement via illumination map estimation.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Lime: Low-light image enhancement via illumination map estimation

Reference 16

Resolution
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raw_fallback, observed 2026-08-07T12:44:22.006243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:14.769109Z digest=sha256:3b637901239be897fe12957fa7bcfcd1e003411936c14b56a0e633f64348ad35

Observation abc1590e-a57e-4639-8b05-b9a37a78bb2b · outbound

This paper cites Burst photography for high dynamic range and low-light imaging on mobile cameras.ACM TOG, 2016.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Burst photography for high dynamic range and low-light imaging on mobile cameras.ACM TOG, 2016

Reference 17

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raw_fallback, observed 2026-08-07T12:44:21.893323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:14.848388Z digest=sha256:eb05c1d02f567e62b1165be3b054dc5b69bd54e64bd30c69e559a35bc836df1f

Observation 96f12c6b-f3e7-49c7-8dd7-f75306786ff0 · outbound

This paper cites Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model

Reference 18

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no resolver link, observed 2026-08-07T12:44:14.929233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:14.929233Z digest=sha256:621be350390da156223ae19a50efb2b3a5cc959176e3be397fc42652289943cc

Observation afb0dd7e-283d-4774-8164-29a7958d53e2 · outbound

This paper cites Diffusion Models in Low-Level Vision: A Survey.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Diffusion Models in Low-Level Vision: A Survey

Reference 19

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no resolver link, observed 2026-08-07T12:44:14.991001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:14.991001Z digest=sha256:1267be8c56e4ba82c11f50710378ff1fada3bb9c36133a1241fcdb28be72fa22

Observation dfd0b447-d527-44c6-b731-10b5d0b844e8 · outbound

This paper cites Prompt-to- prompt image editing with cross-attention control.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Prompt-to- prompt image editing with cross-attention control

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:21.680520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:15.058949Z digest=sha256:5d2f6f0bdf1461904c906fb1ba3cb4dca343062b44ee9096e7d3b1e51e9e64a7

Observation 7827ab52-2c44-493c-82b1-6777d5705575 · outbound

This paper cites Classifier-Free Diffusion Guidance.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Classifier-Free Diffusion Guidance

Reference 21

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no resolver link, observed 2026-08-07T12:44:15.128510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:15.128510Z digest=sha256:c4a09ac70cf14259a0417cfa818a950222d91d4389e297955c9a881d318f8b35

Observation 8a3d0d3f-7e3a-48d3-bad1-ef5e2ac160ce · outbound

This paper cites Denoising diffusion probabilistic models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Denoising diffusion probabilistic models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:21.592347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:15.159535Z digest=sha256:3c9fff3422dc10031f3f218f010be05d8e5c5eab6f126e6bba2888ee5489437d

Observation 4c3bd6e0-6b4b-4cc3-9c81-7c45a5fa58ae · outbound

This paper cites Global structure-aware diffusion process for low-light image enhancement.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Global structure-aware diffusion process for low-light image enhancement

Reference 23

Resolution
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raw_fallback, observed 2026-08-07T12:44:21.493803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:15.188863Z digest=sha256:b89863c8be823c3905b4f4bbe9669ac8de7ede948a9281fbbe0604fa758fa06a

Observation 25b7faaa-32de-49f6-8e8a-a4da99bedc0d · outbound

This paper cites Low-light image enhancement with wavelet-based diffusion models.ACM TOG, 2023.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Low-light image enhancement with wavelet-based diffusion models.ACM TOG, 2023

Reference 24

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raw_fallback, observed 2026-08-07T12:44:21.379803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:15.220896Z digest=sha256:9a85bad6161ffb44c03a8d15d9341a23e75437157dba1cc965a9d2b93289c047

Observation b0761060-9b55-4c99-bdd2-76bd87050202 · outbound

This paper cites Lightendiffusion: Unsupervised low-light image enhancement with latent-retinex diffusion models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Lightendiffusion: Unsupervised low-light image enhancement with latent-retinex diffusion models

Reference 25

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raw_fallback, observed 2026-08-07T12:44:21.296045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:15.251024Z digest=sha256:2a369a6f488b67afdb26946579301018a8284c3b537717e7191a1247d84550eb

Observation 46e9b023-88e1-4587-9a8f-f941dea36092 · outbound

This paper cites Dnf: Decouple and feedback network for seeing in the dark.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Dnf: Decouple and feedback network for seeing in the dark

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:21.021857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:15.327896Z digest=sha256:6a93104a87797114616dd686577f3076a0b627df3e1a8027f1ec8f83869b437c

Observation bf6131a4-f75c-4ee6-9731-cf228dc4aff2 · outbound

This paper cites Lighting every darkness in two pairs: A calibration-free pipeline for raw denoising.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Lighting every darkness in two pairs: A calibration-free pipeline for raw denoising

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T12:44:20.939599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:15.405613Z digest=sha256:49a645caa5fc1104839e82039df9fc807fa909c93d9bbfacedc86539492b7b04

Observation 6da3bfe5-a421-4e2d-bcac-1e5da37cea32 · outbound

This paper cites Analyzing and improving the image quality of stylegan.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Analyzing and improving the image quality of stylegan

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:20.784274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:15.479960Z digest=sha256:6ab14062cfce876672ab26555c2e99c7d58231d308f49ab75f783a8da52c61b7

Observation 4665621e-33c5-410d-a7c4-d73cd09b38bc · outbound

This paper cites Denoising diffusion restoration models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Denoising diffusion restoration models

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:20.585245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:15.556313Z digest=sha256:49f0e397c917aa951e3ae91a525ec8fc5ed5430cf2e800c8eb7c1a3d0d9dfd14

Observation dbba6102-6a75-4201-8eeb-b7a2e88f5d63 · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Imagic: Text-based real image editing with diffusion models

Reference 30

Resolution
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raw_fallback, observed 2026-08-07T12:44:20.451434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:15.610476Z digest=sha256:1994e38749c45e04e797beb5981cd3507be9c92d63a7cc762e6b0d1a5f25fe85

Observation 7b308851-e289-4de4-ac7b-2e08e50318dd · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Adam: A Method for Stochastic Optimization

Reference 31

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unresolved
no resolver link, observed 2026-08-07T12:44:15.655943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:15.655943Z digest=sha256:ccedcaac2d65fe89eaecbf38d364d8ae917081b45bb9d4873c6f8b7917017b22

Observation abaf5e4f-afcb-4692-acc4-179e12238a5e · outbound

This paper cites xFormers: A modular and hackable transformer modelling library.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP xFormers: A modular and hackable transformer modelling library

Reference 32

Resolution
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raw_fallback, observed 2026-08-07T12:44:20.346940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:15.706613Z digest=sha256:21046f65655a2494253f0b82bf2e34c3d5971175d677ca7eebfef03d406ce3c0

Observation b5c88f15-86fc-441b-af1c-9d14f609d511 · outbound

This paper cites Handheld mobile photography in very low light.ACM TOG,.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Handheld mobile photography in very low light.ACM TOG,

Reference 33

Resolution
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raw_fallback, observed 2026-08-07T12:44:20.186493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:15.736445Z digest=sha256:17708ffeb8750c472e50bb567c429d2447ee0fd39905e800aa60753ac1f4722f

Observation b440853e-afa2-4b0c-81a9-324605b415aa · outbound

This paper cites DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:15.789208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:15.789208Z digest=sha256:03437e543af5dea04f6a5d26597e554a9070c5683312c8251d9f016a65f8f942

Observation b9a1aa1b-08fa-4b74-82de-7903c4003e01 · outbound

This paper cites Llnet: A deep autoencoder approach to natural low-light image enhancement.Pattern Recognition, 2017.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Llnet: A deep autoencoder approach to natural low-light image enhancement.Pattern Recognition, 2017

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:20.099828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:15.883535Z digest=sha256:6e71f559eb82c9f118c28cfe8d0bf20c1b1a54151d01e450024b05daf750010a

Observation 72e5b142-c2b7-4989-b6d0-8ed177071c87 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Repaint: Inpainting using denoising diffusion probabilistic models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:20.006820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:15.936203Z digest=sha256:b694bf1b8be57fac22884c7e3afe6ebdb676326de799899043a42f6f48465982

Observation 2175a9a7-e58e-4a74-bf30-6db530618851 · outbound

This paper cites Diffusion in the dark: A diffusion model for low-light text recognition.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Diffusion in the dark: A diffusion model for low-light text recognition

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.908195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:16.029561Z digest=sha256:5b255d706402ab42d65c9b39c25c88261a62bf7f39db9aa70d20f083288898c0

Observation de9cca60-a4bf-4dbb-bfe7-569d813d8eb2 · outbound

This paper cites Restoring vision in adverse weather conditions with patch-based denoising diffusion models.IEEE TPAMI, 2023.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Restoring vision in adverse weather conditions with patch-based denoising diffusion models.IEEE TPAMI, 2023

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.829059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:16.101877Z digest=sha256:07d26c15a5311ab334d0fc78b04fe70e3a6b7cfdcbdde53808d70f6ec425cdb8

Observation 7f0dd0a3-53b8-4872-a27e-e983c92765fb · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP High-resolution image synthesis with latent diffusion models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.741154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:16.278071Z digest=sha256:81107811fe5e3112d71b9f2ba5b1a3cc9f7e51b60af556f607d76281ac80743e

Observation b3963fa1-ff33-4d64-b102-7273b41b29d9 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP U-net: Convolutional networks for biomedical image segmentation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.631819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:16.359341Z digest=sha256:22152441bd569805ac05f15d78de20c5daf74c6e582740cec9db89136768f5b6

Observation 82807fb4-e2fe-4edd-86f7-bba462cdd2bf · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Deep unsupervised learning using nonequilibrium thermodynamics

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.551271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:16.437123Z digest=sha256:5c0eb2b485df6dec263bfa22586f0d3659a70804d4b770d84fe5f3504221979f

Observation 958dd5d5-3c91-42fd-830e-249e9b782d38 · outbound

This paper cites Denoising Diffusion Implicit Models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Denoising Diffusion Implicit Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:16.553796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:16.553796Z digest=sha256:e6bb64211d01eaee029b0eef3e56b6ab10e64af1759cf0dcceaf7291cac10c02

Observation 5267591b-dce5-4baf-838c-3eba2171d11f · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Generative modeling by estimating gradients of the data distribution

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.414129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:16.643163Z digest=sha256:5d98d2c5bcca0a7b69899e76c2607f251b8204e07a6a265fe07f57ef354484ba

Observation b0c1129b-cd6c-4870-a059-efb12aed6ce5 · outbound

This paper cites Improved techniques for training score-based generative models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Improved techniques for training score-based generative models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.292070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:16.741977Z digest=sha256:88ede4a71be4a9f90adc9f3fb782a34c591e899856c4cf909496e6e389ba7cd5

Observation 93a4f634-dda3-4eb4-b6e1-44fa073635fd · outbound

This paper cites Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:16.824042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:16.824042Z digest=sha256:68338f5d12ccdf81a085f10f9ed6b7f4ae37baca0dd10566894ca31198bfedef

Observation ea0d67a2-065c-48af-89d3-a3c89e5aa64e · outbound

This paper cites Low-light image enhance- ment with illumination-aware gamma correction and complete image modelling network.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Low-light image enhance- ment with illumination-aware gamma correction and complete image modelling network

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.171577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:16.904546Z digest=sha256:19f7b46536c0f49c9f814ac08c4c4c0ce3cebc8aba8cf4de0af7e26a693010df

Observation 3fc21384-8098-408b-9475-55a6558dd9d0 · outbound

This paper cites ExposureD- iffusion: Learning to expose for low-light image enhancement.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP ExposureD- iffusion: Learning to expose for low-light image enhancement

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.057472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:16.996729Z digest=sha256:32050307e20a8b76fa257724a319c46fe51f96193695dc2083965b3e5355a0f1

Observation 81f8084a-f5b1-4d42-92a3-b36df6f2a787 · outbound

This paper cites Restoreformer: High-quality blind face restoration from undegraded key-value pairs.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Restoreformer: High-quality blind face restoration from undegraded key-value pairs

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:18.953345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:17.052122Z digest=sha256:cd22ffe87477a949e6221b5d2c02d2d75e18cc80b66fd0ba5e91d4176d3d9845

Observation be876ae3-f101-4e16-9287-a55b4b739d23 · outbound

This paper cites A physics-based noise formation model for extreme low-light raw denoising.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP A physics-based noise formation model for extreme low-light raw denoising

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:18.828967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:17.117185Z digest=sha256:980d44560eb64a21e7d4edbe79a9cf7b6026ab9a43acabc7af8e22477d80c7f6

Observation fce05c41-3d5e-4b56-8254-ceba2cd544a4 · outbound

This paper cites LDM-ISP: Enhancing Neural ISP for Low Light with Latent Diffusion Models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP LDM-ISP: Enhancing Neural ISP for Low Light with Latent Diffusion Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:17.152298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:17.152298Z digest=sha256:22ff057d5da407cc7fcf0b4005afdfa0d9b7cb621fb50843c24240e3f52fa346

Observation 92d2f052-e435-409e-877c-d2c8f90a3943 · outbound

This paper cites Deblurring via stochastic refinement.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Deblurring via stochastic refinement

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:18.671970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:17.242801Z digest=sha256:d85f0b55058a7a3c7e1b2e299bb7640ef38de896f833d15a215d70d8b21c3291

Observation f566ba79-a2d0-49a6-91a2-a0613179a116 · outbound

This paper cites Low-light image enhancement via structure modeling and guidance.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Low-light image enhancement via structure modeling and guidance

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:18.540923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:17.313902Z digest=sha256:742c0021d015c495e9786414ae5049acfebd27985ae37580cc1a6ba02e7f0eea

Observation e3c348f8-e57e-4364-be75-0de462ec25ec · outbound

This paper cites Diff-Retinex: Rethinking low-light image enhancement with a generative diffusion model.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Diff-Retinex: Rethinking low-light image enhancement with a generative diffusion model

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:18.425732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:17.385010Z digest=sha256:e0976772f0482aec2079f4d159d9e5b840a3118812831078fd04622268798d1c

Observation 1978b206-e6cc-4141-97f6-15ed04566285 · outbound

This paper cites Towards general low-light raw noise synthesis and modeling.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Towards general low-light raw noise synthesis and modeling

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:18.256529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:17.427080Z digest=sha256:a211f3efe62b786d5dcdb8ebdcf4d5f33cd94ce78df3c7bdef239c16c28a59f7

Observation feca16b5-863b-421a-ba94-773f9ae8edec · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Adding conditional control to text-to-image diffusion models

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:18.085467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:17.504384Z digest=sha256:a6593675206ef294fae1e0667e9a43fdd81cda7a5315547056613e3e9e11f2fd

Observation 450be4fe-4e23-433e-bf46-9853a9b401a0 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP The unreasonable effectiveness of deep features as a perceptual metric

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:17.917484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:44:17.563851Z digest=sha256:f41fdd3a133e2d0cf75d81ebb3cd756045280c3608118fa73211ad3d4dadb761

Pith citing papers

No inbound Pith citation observations are available.