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Paper Citation Record · LEDGER

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model

As of 23 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2411.11717.

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

pith.paper-citation-record.v1
2411.11717 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:16:41.834303Z

measured 59 of 59 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 2026-06-26T00:16:20.069236Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:49:57.347420Z

Reference resolution

58 of 58 outbound references displayed

  • verified exact0
  • verified fuzzy44
  • unresolved14
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 100b476f-f032-4d70-9aff-7249b3008153 · outbound

This paper cites Unprocessing images for learned raw denoising.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Unprocessing images for learned raw denoising

Reference 1

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Source-reported events for the cited work

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

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Observation 2d3cddd3-a883-4c2c-a3ea-6cc960cd20b2 · outbound

This paper cites Unprocessing images for learned raw denoising.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Unprocessing images for learned raw denoising

Reference 2

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T18:16:41.433519Z digest=sha256:b043dafde7f4ee4ad6f0dfa412f63e6b007d03883fcb9e0d8ee8ff825af0b552

Observation 890892fc-4f60-4a2d-b3bc-6958cff20e98 · outbound

This paper cites Instance segmentation in the dark.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Instance segmentation in the dark

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 00b37400-4011-4ea5-9237-0a34f6ee8187 · outbound

This paper cites Il- luminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution.JOSA A, 31(5):1049–1058, 2014.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Il- luminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution.JOSA A, 31(5):1049–1058, 2014

Reference 4

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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.

source=pdf_text observed=2026-08-12T18:16:41.447818Z digest=sha256:b348cc6fbf2aba1120162286c60e79f88b18431eba7d4fafec3589e7531b65d4

Observation 27a7704a-3509-47ca-b5c5-43a7c60b5a41 · outbound

This paper cites Model-based image signal processors via learnable dictionaries.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Model-based image signal processors via learnable dictionaries

Reference 5

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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.

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Observation 38f6af0b-4d06-481e-890c-d05670b9588e · outbound

This paper cites Raw-adapter: Adapting pre- trained visual model to camera raw images.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Raw-adapter: Adapting pre- trained visual model to camera raw images

Reference 6

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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.

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Observation 228d9945-4e7d-4844-8094-67ee840f2340 · outbound

This paper cites Transformers are ssms: General- ized models and efficient algorithms through structured state space duality.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Transformers are ssms: General- ized models and efficient algorithms through structured state space duality

Reference 7

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

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Observation 07813cb6-0bce-4902-ba6f-7e5faabf2429 · outbound

This paper cites Recovering high dy- namic range radiance maps from photographs.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Recovering high dy- namic range radiance maps from photographs

Reference 8

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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.

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Observation fe333958-f61a-4133-9401-2977a7b47e56 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Imagenet: A large-scale hierarchical image database

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f993ba88-c1d6-4fe9-a192-e47184a81f4c · outbound

This paper cites Fast bilateral filtering for the display of high-dynamic-range images.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Fast bilateral filtering for the display of high-dynamic-range images

Reference 10

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

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Observation 616fc3a1-1194-47ff-b724-ce645bff1472 · outbound

This paper cites Determining the camera response from images: What is knowable? IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(11):1455–1467, 2003.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Determining the camera response from images: What is knowable? IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(11):1455–1467, 2003

Reference 11

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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.

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Observation 890071b1-d5f4-4a83-a057-7b4344ee38cc · outbound

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

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 12

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Unavailable: canonical work link unavailable.

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Observation 6e176263-deeb-48db-8680-1328eccbea37 · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-12T18:16:43.220705Z

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.

source=pdf_text observed=2026-08-12T18:16:41.506968Z digest=sha256:866a56009e46d61a804162bd4f9c208ba8ac58fc6b7d3f3b5c7c588833a844ea

Observation ef131555-0572-44ba-afa5-0c244e8d649c · outbound

This paper cites Efficiently mod- eling long sequences with structured state spaces.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Efficiently mod- eling long sequences with structured state spaces

Reference 14

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raw_fallback, observed 2026-08-12T18:16:43.200288Z

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.

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Observation 604a88d5-2ed8-4fcc-a26f-2d7f26632e3c · outbound

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

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Mambair: A simple baseline for im- age restoration with state-space model

Reference 15

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Source-reported events for the cited work

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

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Observation 8e4404fe-ed40-4b97-b43b-dbfe09f93bac · outbound

This paper cites Squeeze-and-excitation net- works.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Squeeze-and-excitation net- works

Reference 16

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

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Observation a796e3bf-548a-4e65-86d6-25a2bca2dec0 · outbound

This paper cites LocalMamba: Visual State Space Model with Windowed Selective Scan.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model LocalMamba: Visual State Space Model with Windowed Selective Scan

Reference 17

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Observation 9c53efc4-1e54-47e3-8ffc-7be6219ff86b · outbound

This paper cites Expanding synthetic real-world degradations for blind video super resolution.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Expanding synthetic real-world degradations for blind video super resolution

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:43.139158Z

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.

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Observation cd9a741b-87dc-4757-bbbc-56a5c4d9cb53 · outbound

This paper cites Rbsformer: En- hanced transformer network for raw image super-resolution.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Rbsformer: En- hanced transformer network for raw image super-resolution

Reference 19

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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.

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Observation 7656cce3-187c-4391-b5c4-25813d285bde · outbound

This paper cites A new approach to linear filtering and pre- diction problems.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model A new approach to linear filtering and pre- diction problems

Reference 20

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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.

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Observation 44885b1c-0d1f-4748-8e01-0997d77858e3 · outbound

This paper cites an unresolved cited work.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Unresolved cited work

Reference 21

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

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Observation aeeccc43-44b3-484f-8ec0-7079a5df7785 · outbound

This paper cites Paramisp: learned forward and inverse isps using camera parameters.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Paramisp: learned forward and inverse isps using camera parameters

Reference 22

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

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Observation 33953e15-24d2-4942-b306-61900da52e5c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Adam: A Method for Stochastic Optimization

Reference 23

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Unavailable: canonical work link unavailable.

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Observation 8f810aad-ab28-4da3-bcb4-a7ce5182909b · outbound

This paper cites Videomamba: State space model for efficient video understanding.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Videomamba: State space model for efficient video understanding

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:43.000504Z

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.

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Observation 16d0b40e-a00d-459d-8d91-95503e6816e5 · outbound

This paper cites Metadata- based raw reconstruction via implicit neural functions.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Metadata- based raw reconstruction via implicit neural functions

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.981123Z

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.

source=pdf_text observed=2026-08-12T18:16:41.581744Z digest=sha256:ca7fdc4a74ffb67b4b836b962b22243c63e53e66296a47583c5e870c4f44afca

Observation 4bc33bd9-1a0d-456b-98a7-4d7270cb6807 · outbound

This paper cites MTMamba: Enhancing multi-task dense scene understanding by mamba-based de- coders.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model MTMamba: Enhancing multi-task dense scene understanding by mamba-based de- coders

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:16:41.588397Z digest=sha256:92232fd0d75dc9e2ac424b935ed7a28002e2fc6979ae43eb9f5f722ccb68c9b9

Observation c61d63cc-1706-4434-a556-cf4e157db670 · outbound

This paper cites Joint demo- saicing and denoising with self guidance.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Joint demo- saicing and denoising with self guidance

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.939857Z

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.

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Observation b04b2b2f-3fd7-4524-b9c5-47f5b0fe0b74 · outbound

This paper cites VMamba: Visual state space model.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model VMamba: Visual state space model

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.914180Z

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.

source=pdf_text observed=2026-08-12T18:16:41.601995Z digest=sha256:2cfd79572924e2e9e5bf6e2e20fc1fb09559fdf732e12095b21fe8fcc608fada

Observation 17b5d495-cb9b-4d28-b4c8-39104af59113 · outbound

This paper cites 9 Single-image hdr reconstruction by learning to reverse the camera pipeline.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model 9 Single-image hdr reconstruction by learning to reverse the camera pipeline

Reference 29

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raw_fallback, observed 2026-08-12T18:16:42.897877Z

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.

source=pdf_text observed=2026-08-12T18:16:41.607705Z digest=sha256:b3b4e7cb06eb9b709aa334aaa8d83180750bef42e632da9fc6834be95f9c87ec

Observation bcad78d6-823e-4e38-ac1a-8447869f2b2c · outbound

This paper cites A convnet for the 2020s.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model A convnet for the 2020s

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:16:41.613378Z digest=sha256:0a27e4c5870607c3e49d9cddbce4fd563b3c4679f76a8c44898532a9bb0a0c84

Observation fd229bfb-76c6-435a-9ceb-884902a7875f · outbound

This paper cites Snakes and Ladders: Two Steps Up for VideoMamba.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Snakes and Ladders: Two Steps Up for VideoMamba

Reference 31

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no resolver link, observed 2026-08-12T18:16:41.619430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:16:41.619430Z digest=sha256:fd3baa34300373dd495125c0d271d278238e230cabddd7d7e4d1b045bd141fbc

Observation aee9ace6-40e4-47c2-9916-b968ede33ee7 · outbound

This paper cites Logarithmic lenses: Exploring log rgb data for image classification.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Logarithmic lenses: Exploring log rgb data for image classification

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.867775Z

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.

source=pdf_text observed=2026-08-12T18:16:41.625243Z digest=sha256:91296a0eac553a4f2a847f02ad3acf208d0b7e3baa5fb51aa8ce2ea0b04aec1f

Observation 753863a2-26b6-4d35-a53b-b9e03fd7cbac · outbound

This paper cites Learning srgb-to-raw-rgb de-rendering with content-aware metadata.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Learning srgb-to-raw-rgb de-rendering with content-aware metadata

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.846942Z

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.

source=pdf_text observed=2026-08-12T18:16:41.630689Z digest=sha256:2cf64700f6d88183e62820b5050e397cfbb634655629baa9dba02ff3a0f0cd73

Observation 80505f81-9a38-4678-877c-81a921fbe124 · outbound

This paper cites Raw image recon- struction using a self-contained srgb-jpeg image with only 64 kb overhead.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Raw image recon- struction using a self-contained srgb-jpeg image with only 64 kb overhead

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.817917Z

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.

source=pdf_text observed=2026-08-12T18:16:41.635272Z digest=sha256:608c8879d4262fb9a53a27de4e8ff04aab39fd5ff51432944da8c2822582a499

Observation 80a9ed55-30df-4d84-9d95-9fae13b85fdf · outbound

This paper cites Raw image recon- struction using a self-contained srgb–jpeg image with small memory overhead.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Raw image recon- struction using a self-contained srgb–jpeg image with small memory overhead

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.792754Z

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.

source=pdf_text observed=2026-08-12T18:16:41.640929Z digest=sha256:4044e92690bd3f314b5a4c6655319a95b46e27f1977df6690d024495047946ac

Observation 09d7ca59-311a-4495-a19b-fd587475fb55 · outbound

This paper cites Spatially aware metadata for raw reconstruction.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Spatially aware metadata for raw reconstruction

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.761329Z

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.

source=pdf_text observed=2026-08-12T18:16:41.648488Z digest=sha256:34f1085bc0fb77208ba65ed20bb3ecc8e6f9303cc144fd13c02fc9a5d59517ce

Observation 889d5b82-bd6d-4a2a-895e-5a14f49c52f7 · outbound

This paper cites VmambaIR: Visual State Space Model for Image Restoration.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model VmambaIR: Visual State Space Model for Image Restoration

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T18:16:41.653514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:16:41.653514Z digest=sha256:1f9f10f76e23c4a5af271a1bf71596ae5abcbc280b70b3475312c1f729b1947b

Observation 52738997-45e0-4e0b-a6d3-01fc217bfa05 · outbound

This paper cites Attention is all you need.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Attention is all you need

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T18:16:41.659431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:16:41.659431Z digest=sha256:e5798e27abe1442938920b83114d3234b05e3bbe8d6d19e5babb1f6a5390c650

Observation c1a31219-dbb1-4288-89bd-80ef47cd8a7e · outbound

This paper cites Beyond learned metadata-based raw image reconstruction.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Beyond learned metadata-based raw image reconstruction

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.725454Z

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.

source=pdf_text observed=2026-08-12T18:16:41.669507Z digest=sha256:0595fda04c04b5b18d676d66813ac07de9d0097698023b6ded6271bf044da954

Observation 78ca5ff9-509e-4c4c-90f1-821bf6ddcdf2 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Image quality assessment: from error visibility to structural similarity

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T18:16:41.675398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:16:41.675398Z digest=sha256:22ab99da5f840626c5ca86987fed3efdd88bc3631b844f02b042f82db81e3441

Observation 3e172a1b-4169-49a1-8351-f6c9f7423539 · outbound

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

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model A physics-based noise formation model for extreme low-light raw denoising

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.678157Z

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.

source=pdf_text observed=2026-08-12T18:16:41.681185Z digest=sha256:2606c918136307fcd5b109b66138517e24eb1d54b39f89865eaf9f3951e56e4e

Observation 28d309b7-01ac-47bd-ac5c-41858e1f613b · outbound

This paper cites Rainmamba: Enhanced local- ity learning with state space models for video deraining.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Rainmamba: Enhanced local- ity learning with state space models for video deraining

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.656981Z

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.

source=pdf_text observed=2026-08-12T18:16:41.690175Z digest=sha256:6dad35c787e6dc3a79e353f21238883d1d2950689cb1b2849d9d8f09d9e63cfe

Observation b9875bc5-40b7-4c23-9717-294332d77847 · outbound

This paper cites End-to-end learning for joint image demosaicing, denoising and super-resolution.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model End-to-end learning for joint image demosaicing, denoising and super-resolution

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.633062Z

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.

source=pdf_text observed=2026-08-12T18:16:41.699284Z digest=sha256:90a9c0a40ee4ad6414780db7908edc7a6050a589ca8f47bd48c9adf23d2f963f

Observation 50ac6be8-26e9-4045-af36-516e6c0a1c71 · outbound

This paper cites Invertible image signal processing.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Invertible image signal processing

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.596547Z

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.

source=pdf_text observed=2026-08-12T18:16:41.707170Z digest=sha256:83bafed15f393bfb016d3914c859cea412ddce0090ebe16447f8d5cca3d6a536

Observation 8cc7a230-b513-4e58-a2a9-579779740458 · outbound

This paper cites Segmamba: Long-range sequential modeling mamba for 3d medical image segmentation.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Segmamba: Long-range sequential modeling mamba for 3d medical image segmentation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.572582Z

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.

source=pdf_text observed=2026-08-12T18:16:41.718208Z digest=sha256:40306e272cc471f2ab81e47001029f7674a0305481f57102fcdbe06116e203c3

Observation 549a4831-735d-4c5a-98a7-5852d79a2112 · outbound

This paper cites Lgrnet: Local-global recip- rocal network for uterine fibroid segmentation in ultrasound videos.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Lgrnet: Local-global recip- rocal network for uterine fibroid segmentation in ultrasound videos

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.543084Z

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.

source=pdf_text observed=2026-08-12T18:16:41.726392Z digest=sha256:a9f223b87e1c3829fbde7860d246f14f93a35001bb128cc556e3b63e979c0529

Observation 14cbaa91-2337-4a7e-b87b-7069450e6282 · outbound

This paper cites Toward raw object detection: A new benchmark and a new model.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Toward raw object detection: A new benchmark and a new model

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.508337Z

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.

source=pdf_text observed=2026-08-12T18:16:41.732426Z digest=sha256:ae409d93012bbc4f0e81dfd2cc64cbbb08f6403542c7dc30426a99a09a48b256

Observation 4229414c-6390-40d3-a247-0c833c120267 · outbound

This paper cites Exploiting raw images for real-scene super-resolution.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Exploiting raw images for real-scene super-resolution

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.488128Z

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.

source=pdf_text observed=2026-08-12T18:16:41.741271Z digest=sha256:2feba46b3447f4df6e75c585494ff1fdb822e6f8f39840e4c1aae4f9d32e447f

Observation ee15573d-bd33-442c-94d3-134dce048f39 · outbound

This paper cites Vivim: a Video Vision Mamba for Medical Video Segmentation.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Vivim: a Video Vision Mamba for Medical Video Segmentation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T18:16:41.751922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:16:41.751922Z digest=sha256:44b7681b92e0aeb4f72076edb17bc65429c37c8c441d632c0095c5677174dc87

Observation 488d19a8-03e1-4ba9-92df-0b71180aae88 · outbound

This paper cites Reconfigisp: Reconfigurable camera image process- ing pipeline.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Reconfigisp: Reconfigurable camera image process- ing pipeline

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.465058Z

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.

source=pdf_text observed=2026-08-12T18:16:41.762721Z digest=sha256:c953ffd3167e1aada643e66c31f12e2e4795071e00de0c33bd3adefc0f40c459

Observation 3abcee80-992b-4bde-93bc-02036ade2479 · outbound

This paper cites High quality image reconstruction from raw and jpeg image pair.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model High quality image reconstruction from raw and jpeg image pair

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.439824Z

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.

source=pdf_text observed=2026-08-12T18:16:41.776525Z digest=sha256:5b4e779a8a83cc5019d9cf70ebab2e0c5617296138449184d9ec7b55ebf8dd64

Observation 680c565f-035b-48bf-bd57-560d4599c980 · outbound

This paper cites High quality image reconstruction from raw and jpeg image pair.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model High quality image reconstruction from raw and jpeg image pair

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.412561Z

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.

source=pdf_text observed=2026-08-12T18:16:41.783505Z digest=sha256:e35a6f69b6eb2b129730c699eb5ef5c26519ee03c6ee3cd67662321bd68bf6b6

Observation ad3ba9ae-db86-4350-9870-519da1ddec24 · outbound

This paper cites Real- rawvsr: Real-world raw video super-resolution with a bench- mark dataset.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Real- rawvsr: Real-world raw video super-resolution with a bench- mark dataset

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.386075Z

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.

source=pdf_text observed=2026-08-12T18:16:41.790175Z digest=sha256:3c0a5e00597537853199dfd8ae30c3bad77695d2788ff12eb5bb9a0210a8542c

Observation da3f169f-2384-4c7d-89cb-dcead2e66235 · outbound

This paper cites Leveraging frame affin- ity for srgb-to-raw video de-rendering.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Leveraging frame affin- ity for srgb-to-raw video de-rendering

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.355712Z

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.

source=pdf_text observed=2026-08-12T18:16:41.796624Z digest=sha256:42765470c0d298c5712654762e02b8f5acf89d5c51567c3ff8a2ac745c34254c

Observation 82c40bae-04e1-4229-8296-d3f6be5a5043 · outbound

This paper cites Motion mamba: Efficient and long 10 sequence motion generation.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Motion mamba: Efficient and long 10 sequence motion generation

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.331521Z

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.

source=pdf_text observed=2026-08-12T18:16:41.803601Z digest=sha256:6277ca78c3d0440143fe0c10576b0ff91dcb86d983c8dd25d85186bf1d120704

Observation 4814d9fd-a593-45ef-90d0-69740c3a26af · outbound

This paper cites Vision mamba: Efficient visual representation learning with bidirectional state space model.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Vision mamba: Efficient visual representation learning with bidirectional state space model

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.302799Z

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.

source=pdf_text observed=2026-08-12T18:16:41.810396Z digest=sha256:e0aaf5a55536b3259d9ed11af7e839d155c7bfe4dc98e9bb55af1912be7ee6be

Observation f6dea8f3-38dc-4846-b480-dbc6d228706d · outbound

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

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-12T18:16:41.823018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:16:41.823018Z digest=sha256:472fa3ce51f512d64c46e7a120b11f5ce6c8d73b70a1ffd2077a1a3d95858c46

Observation f78eac06-3edc-4f95-afcf-245c0be204bc · outbound

This paper cites Rawhdr: High dynamic range image reconstruction from a single raw im- age.

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model Rawhdr: High dynamic range image reconstruction from a single raw im- age

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:16:42.281178Z

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.

source=pdf_text observed=2026-08-12T18:16:41.834303Z digest=sha256:79cbac303b2c260fe7cda0e63b77fff3fc58f6d90c56252f2bbd6f1d674635e5

Pith citing papers

Observation 238f950d-4b74-4801-b82f-9310f4e5d10d · inbound

MambaRaw: Selective State Space Modeling for Efficient 4K Raw Image Reconstruction cites this paper.

MambaRaw: Selective State Space Modeling for Efficient 4K Raw Image Reconstruction RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:49:57.349147Z

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.

source=pdf_text observed=2026-06-26T00:16:20.069236Z digest=sha256:bc18eed015c7a65f5c950b60a68844ed9e02e9b38c2762b745295232ad1b8cb3