Paper Citation Record · LEDGER

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising

As of 23 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2509.00917.

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

pith.paper-citation-record.v1
2509.00917 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:08:15.664170Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:08:15.550360Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:08:15.822483Z

Reference resolution

25 of 25 outbound references displayed

verified exact2
verified fuzzy16
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 13578e76-ddf3-4e05-bf3d-c865204d48b3 · outbound

This paper cites DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T13:08:15.828164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 53631133-3497-4913-b648-1f916d1ec641 · outbound

This paper cites Overall Framework DarkVRAI is designed as a two-stage pipeline consisting of frame alignment, followed by denoising, as illustrated in Fig.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Overall Framework DarkVRAI is designed as a two-stage pipeline consisting of frame alignment, followed by denoising, as illustrated in Fig

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:08:16.109391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a8baef3c-2a70-4d28-8651-7baa3cb79a90 · outbound

This paper cites Experimental Setup Dataset.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Experimental Setup Dataset

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:08:16.094464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 02b51154-7aa6-4bbc-8de1-fb22994c3cdd · outbound

This paper cites We have addressed the fundamental difficulties of this task—severe noise, motion, and sensor-specific degra- dations—through a novel two-stage framework.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising We have addressed the fundamental difficulties of this task—severe noise, motion, and sensor-specific degra- dations—through a novel two-stage framework

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:08:16.078502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3aee09a2-fc1a-45fc-ac63-7116d34feed5 · outbound

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

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising A physics-based noise formation model for extreme low-light raw denoising,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:08:16.062450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5f2416ec-977c-40ae-86d1-3285ff0b0e66 · outbound

This paper cites Toward efficient deep blind raw image restoration,.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Toward efficient deep blind raw image restoration,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:08:16.045135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f702276a-4a20-4fd4-ae2f-c75848ad5c67 · outbound

This paper cites A high-quality denoising dataset for smart- phone cameras,.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising A high-quality denoising dataset for smart- phone cameras,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:08:16.030073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9df19c02-be98-4035-80b2-da56f53b68ba · outbound

This paper cites Benchmarking denois- ing algorithms with real photographs,.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Benchmarking denois- ing algorithms with real photographs,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:08:16.013778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 223da073-3319-45fa-9b3d-498e7f920a9f · outbound

This paper cites AIM 2025 low-light raw video denois- ing challenge: Dataset, methods and results,.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising AIM 2025 low-light raw video denois- ing challenge: Dataset, methods and results,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:08:15.995854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 68f09e95-671c-45e2-a92c-e5a77657dfdc · outbound

This paper cites Towards Controllable Real Image Denoising with Camera Parameters.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Towards Controllable Real Image Denoising with Camera Parameters

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:08:15.803901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 03ee31bd-9b56-4c89-b726-6f968a87a163 · outbound

This paper cites Scalable diffu- sion models with transformers,.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Scalable diffu- sion models with transformers,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:08:15.978860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 14ff85d5-d8d8-4c2a-9211-69e5dde56fed · outbound

This paper cites Layer Normalization.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Layer Normalization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T13:08:15.604319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b37705e-931d-49e8-9d7d-133bc60df2c3 · outbound

This paper cites Attention is all you need,.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Attention is all you need,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T13:08:15.609598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71040320-11f1-4d80-8343-51912b20fa66 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T13:08:15.613769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85817259-75bd-46e6-8189-e2ed537abd96 · outbound

This paper cites Cbam: Convolutional block attention module,.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Cbam: Convolutional block attention module,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:08:15.952788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 94400a33-f931-4957-93c4-c7a370869008 · outbound

This paper cites Mambair: A simple baseline for image restoration with state-space model,.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Mambair: A simple baseline for image restoration with state-space model,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:08:15.937864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e37d2cc-c0bc-45f0-95d9-18dbd64b1452 · outbound

This paper cites Burstormer: Burst image restoration and enhancement transformer,.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Burstormer: Burst image restoration and enhancement transformer,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:08:15.922232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cec01387-003e-41cb-939d-519083e24e86 · outbound

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

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising U-net: Convolutional networks for biomedical image segmentation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T13:08:15.632116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1e0b011-d747-4f6e-96bd-f244b262a281 · outbound

This paper cites Simple baselines for image restoration,.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Simple baselines for image restoration,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:08:15.895341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ce28461f-7562-40ae-8f41-9e06da4f9068 · outbound

This paper cites Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform,.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:08:15.878984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5f323e0c-7af3-4caa-bf78-de6fe3eebb37 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Adam: A Method for Stochastic Optimization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T13:08:15.645740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d73fbd25-b1bb-487c-8931-5a2b524e2a46 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T13:08:15.650352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 121240a3-027e-474e-a988-19bdf4ccb37b · outbound

This paper cites Multiscale structural similarity for image quality as- sessment,.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Multiscale structural similarity for image quality as- sessment,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:08:15.862020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2657cfb3-4274-4dfb-92ac-5ee497c89112 · outbound

This paper cites YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:08:15.709557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d4295f74-806c-43ce-8879-625e13e06798 · outbound

This paper cites Restormer: Efficient transformer for high- resolution image restoration,.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising Restormer: Efficient transformer for high- resolution image restoration,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:08:15.845577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 13578e76-ddf3-4e05-bf3d-c865204d48b3 · inbound