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Paper Citation Record · LEDGER

Language-based Color ISP Tuning

As of 9 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2509.10765.

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

pith.paper-citation-record.v1
2509.10765 v1

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measured 40 of 40 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T17:39:25.861409Z

measured 40 of 40 standing notices

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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40 of 40 outbound references displayed

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Outbound references

Observation 09370d09-1a5a-4bef-bfaf-7790423b044c · outbound

This paper cites Color image processing pipeline,.

Language-based Color ISP Tuning Color image processing pipeline,

Reference 1

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Observation 62121f2a-b436-4023-9e20-f940ab231ddc · outbound

This paper cites A software platform for ma- nipulating the camera imaging pipeline,.

Language-based Color ISP Tuning A software platform for ma- nipulating the camera imaging pipeline,

Reference 2

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Observation e6ae791c-eb53-48fd-92e7-efcd3c62e7f6 · outbound

This paper cites Replacing mobile cam- era ISP with a single deep learning model,.

Language-based Color ISP Tuning Replacing mobile cam- era ISP with a single deep learning model,

Reference 3

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Observation 33aef5b7-0f6b-42a2-8f36-87c7c23b8bc5 · outbound

This paper cites ISP meets deep learning: A survey on deep learning methods for image signal processing,.

Language-based Color ISP Tuning ISP meets deep learning: A survey on deep learning methods for image signal processing,

Reference 4

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source=pdf_text observed=2026-08-04T17:39:20.163165Z digest=sha256:cc2f9fc337433190ca9cd5ffbe86b576a5651e473f7c4d2e6842148873b0c0fa

Observation 769f5699-81b7-400f-bd6a-759a982887a4 · outbound

This paper cites Nilut: Conditional neural implicit 3d lookup tables for image en- hancement,.

Language-based Color ISP Tuning Nilut: Conditional neural implicit 3d lookup tables for image en- hancement,

Reference 5

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source=pdf_text observed=2026-08-04T17:39:20.345657Z digest=sha256:9e501d27f9f5ee07f6ffa71790cbe03d4fea93879203167f22b48abf0e9a2e18

Observation 9b691cb0-d7fd-490e-85be-fc932818e276 · outbound

This paper cites PQDynamicISP: dynam- ically controlled image signal processor for any image sensors pur- suing perceptual quality,.

Language-based Color ISP Tuning PQDynamicISP: dynam- ically controlled image signal processor for any image sensors pur- suing perceptual quality,

Reference 6

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Observation 0c4118da-c2da-424e-b9a9-81707581c554 · outbound

This paper cites Automatic ISP image quality tuning using nonlinear optimization,.

Language-based Color ISP Tuning Automatic ISP image quality tuning using nonlinear optimization,

Reference 7

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Observation e4bb2ed3-27c0-43fa-8c0a-628f13f71794 · outbound

This paper cites Hardware-in-the-loop end-to-end optimization of cam- era image processing pipelines,.

Language-based Color ISP Tuning Hardware-in-the-loop end-to-end optimization of cam- era image processing pipelines,

Reference 8

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Observation 1e816802-1e3c-49c5-83d2-8a7f256bf01e · outbound

This paper cites Refactoring ISP for high-level vi- sion tasks,.

Language-based Color ISP Tuning Refactoring ISP for high-level vi- sion tasks,

Reference 9

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source=pdf_text observed=2026-08-04T17:39:21.052583Z digest=sha256:a59143a9f3244521c4783002c010286558707502978eaf42447a547c33a8e97f

Observation f84b70a7-42f4-4a12-aec0-d29016f4c2d3 · outbound

This paper cites What is the cost of adding a constraint in linear least squares?.

Language-based Color ISP Tuning What is the cost of adding a constraint in linear least squares?

Reference 10

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source=pdf_text observed=2026-08-04T17:39:21.204872Z digest=sha256:a123e7807eda9c04e84a6a0fbdb5d6ff7a880f09d8558da4620b95552c3c7c9e

Observation fa804686-4067-40e9-971d-2c5d87794e0f · outbound

This paper cites Color cor- rection pipeline optimization for digital cameras,.

Language-based Color ISP Tuning Color cor- rection pipeline optimization for digital cameras,

Reference 11

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Observation f6875ab5-bdbb-41e6-9b27-c4217cf2ecc3 · outbound

This paper cites DNN- based ISP parameter inference algorithm for automatic image qual- ity optimization,.

Language-based Color ISP Tuning DNN- based ISP parameter inference algorithm for automatic image qual- ity optimization,

Reference 12

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source=pdf_text observed=2026-08-04T17:39:21.473577Z digest=sha256:000926631d2b8cedd1ca817200b97268622467030557b1b07e2ca62abd545a90

Observation 4e318377-9031-4a9d-8eee-854dd0865822 · outbound

This paper cites Hyperparame- ter optimization in black-box image processing using differentiable proxies.

Language-based Color ISP Tuning Hyperparame- ter optimization in black-box image processing using differentiable proxies

Reference 13

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Observation 722e4cb0-70e4-47a3-8cf4-28926499498f · outbound

This paper cites Ef- fective ISP tuning framework based on user preference feedback,.

Language-based Color ISP Tuning Ef- fective ISP tuning framework based on user preference feedback,

Reference 14

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Observation c1e5babc-269b-4f90-8f5f-9db9e852f627 · outbound

This paper cites Neural Photo-Finishing.

Language-based Color ISP Tuning Neural Photo-Finishing

Reference 15

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source=pdf_text observed=2026-08-04T17:39:21.934251Z digest=sha256:4ddfaec84063814c4724375b972726dbc8303fe8d5a226c0e85574c5e7c9f492

Observation ef103106-f4e0-49c2-b460-1b99f4f85968 · outbound

This paper cites Learning controllable ISP for image enhancement,.

Language-based Color ISP Tuning Learning controllable ISP for image enhancement,

Reference 16

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source=pdf_text observed=2026-08-04T17:39:22.089392Z digest=sha256:fa077bbd159ec69f191ca3041532eae9069c2524973873706b432de7209775a6

Observation ecddee08-8a77-412f-a61e-108d2307df03 · outbound

This paper cites AdaptiveISP: Learning an adaptive image signal processor for object detection,.

Language-based Color ISP Tuning AdaptiveISP: Learning an adaptive image signal processor for object detection,

Reference 17

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source=pdf_text observed=2026-08-04T17:39:22.242687Z digest=sha256:e2506ab40dfcbaaf278b6176c3ed7fc2b6ac951d921d50966c16a2967465b76f

Observation 2e3685b0-4b47-44bf-b83d-5c0ec9a0c191 · outbound

This paper cites DynamicISP: dynamically controlled image signal processor for image recogni- tion,.

Language-based Color ISP Tuning DynamicISP: dynamically controlled image signal processor for image recogni- tion,

Reference 18

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source=pdf_text observed=2026-08-04T17:39:22.415770Z digest=sha256:5ba7767f3c97831d82ec61af06d27cb89659720693e0ea3ea9a345fc4aa5fce5

Observation e0124ce0-27ef-4716-af63-8935b2496a8e · outbound

This paper cites CCMNet: Leveraging calibrated color correction matrices for cross-camera color constancy,.

Language-based Color ISP Tuning CCMNet: Leveraging calibrated color correction matrices for cross-camera color constancy,

Reference 19

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Observation 9db79c61-ee6f-4cf8-8384-8b66fa40dbfa · outbound

This paper cites Color correction for image-based modeling in the large,.

Language-based Color ISP Tuning Color correction for image-based modeling in the large,

Reference 20

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source=pdf_text observed=2026-08-04T17:39:22.668885Z digest=sha256:b96de30a33f8aa1fe349760bc64b745868ae815fb70b6356e912902903fe44b5

Observation 7efcf5f0-55a9-4a9d-adef-a32a1eca6fbf · outbound

This paper cites Example-based video color grading.

Language-based Color ISP Tuning Example-based video color grading

Reference 21

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Observation 37fd135b-2c9a-4e4e-9e26-d4d42fba276e · outbound

This paper cites Neural preset for color style transfer,.

Language-based Color ISP Tuning Neural preset for color style transfer,

Reference 22

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source=pdf_text observed=2026-08-04T17:39:22.995250Z digest=sha256:dd6471cb9e6cb1d4c994ad325b567e9bfd93001b5aacb3bebd285559a219bbd8

Observation 742948a0-c593-4ff8-a28b-5599f2c03a4c · outbound

This paper cites Van Hurkman,Color Correction Look Book: Creative Grading Techniques for Film and Video.

Language-based Color ISP Tuning Van Hurkman,Color Correction Look Book: Creative Grading Techniques for Film and Video

Reference 23

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source=pdf_text observed=2026-08-04T17:39:23.134917Z digest=sha256:6465af1a015fd571d98a34b8ffbc6660d9cd20d250bc120128cf4febb79fe695

Observation b38a3677-c4a7-4b50-8a3d-b5353e2e73bb · outbound

This paper cites Tunable color correction for noisy images,.

Language-based Color ISP Tuning Tunable color correction for noisy images,

Reference 24

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source=pdf_text observed=2026-08-04T17:39:23.287339Z digest=sha256:916fdb4755298cb36aaef96007c3dc4de885734c195a5c4db07eb5d2db16163c

Observation e2ab8425-78b8-4c84-801b-6b3bf5f53cec · outbound

This paper cites Learning pho- tographic global tonal adjustment with a database of input/output image pairs,.

Language-based Color ISP Tuning Learning pho- tographic global tonal adjustment with a database of input/output image pairs,

Reference 25

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Observation c4d4f172-8d7e-4e10-82c2-ebc5fe9594cc · outbound

This paper cites Color transfer with modulated flows,.

Language-based Color ISP Tuning Color transfer with modulated flows,

Reference 26

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source=pdf_text observed=2026-08-04T17:39:23.610649Z digest=sha256:5fad2f96813bce2cf4bc074f6b8afd935e420297c8a1dd2353c42978f1bec881

Observation f9b47921-4cc1-42d4-8bc2-e8e6562e33e2 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Language-based Color ISP Tuning Learning transferable visual models from natural language supervision,

Reference 27

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source=pdf_text observed=2026-08-04T17:39:23.762598Z digest=sha256:4c1014f1f49124ecb85b9dec27b7241ebca6fc465fa4f928f2cb87c9ba174f30

Observation 028b198c-bc2a-4092-963a-0dc476c8a69c · outbound

This paper cites OpenCLIP,.

Language-based Color ISP Tuning OpenCLIP,

Reference 28

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source=pdf_text observed=2026-08-04T17:39:23.972527Z digest=sha256:8d07482462e418cd41afdf3e119861821f3aee03e6cc444511b35ab13da638c6

Observation d05ab45a-374d-4319-a5ea-02ff9c45e5b6 · outbound

This paper cites Exploring CLIP for assessing the look and feel of images,.

Language-based Color ISP Tuning Exploring CLIP for assessing the look and feel of images,

Reference 29

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source=pdf_text observed=2026-08-04T17:39:24.112023Z digest=sha256:519b5808dba344f9b06a422ae55c42474e94b0b3a3021675ca02df00f229bf3d

Observation 050fddba-2847-49b4-ae68-99af450117c7 · outbound

This paper cites CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP.

Language-based Color ISP Tuning CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP

Reference 30

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source=pdf_text observed=2026-08-04T17:39:24.326550Z digest=sha256:b02458ac335c3ed68f4bfa1de60355ffe8d79bc49898ccabbe051bc082e4b98e

Observation dcb31aca-e06e-4228-a0da-d2bfed01365d · outbound

This paper cites Guiding Instruction-based Image Editing via Multimodal Large Language Models,.

Language-based Color ISP Tuning Guiding Instruction-based Image Editing via Multimodal Large Language Models,

Reference 31

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source=pdf_text observed=2026-08-04T17:39:24.538722Z digest=sha256:e730992ee4092cd63072b886ee0c6e184f95f9aaca211c1efb9a7c3631d1d971

Observation 0b8d63f3-e103-4666-ab6d-d14b2dc0a6d4 · outbound

This paper cites Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era.

Language-based Color ISP Tuning Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era

Reference 32

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Observation 28947865-25f8-46fc-bbf2-a2bfdd692413 · outbound

This paper cites Not every gift comes in gold paper or with a red ribbon: Exploring color perception in text-to-image models,.

Language-based Color ISP Tuning Not every gift comes in gold paper or with a red ribbon: Exploring color perception in text-to-image models,

Reference 33

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source=pdf_text observed=2026-08-04T17:39:24.828052Z digest=sha256:89e6948fbf8745d0dd972bed0ee6f31ba734e6bd42a43e98c004429cd059dd9b

Observation 8648ce4b-0f0b-4983-916e-67b8eb898eb1 · outbound

This paper cites Coco-lc: Colorfulness control- lable language-based colorization,.

Language-based Color ISP Tuning Coco-lc: Colorfulness control- lable language-based colorization,

Reference 34

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source=pdf_text observed=2026-08-04T17:39:24.930708Z digest=sha256:703fd7735042b3f3ed0db7e2c84ca62731bd5836b287727742928cff1d1f2ccb

Observation 71b3fbad-8012-4770-9f6b-da326578fe7a · outbound

This paper cites A Learnable Color Correction Matrix for RAW Reconstruction.

Language-based Color ISP Tuning A Learnable Color Correction Matrix for RAW Reconstruction

Reference 35

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source=pdf_text observed=2026-08-04T17:39:25.153384Z digest=sha256:266f243fe4205ccfc9270f3f337082c685878eb44c3e53921f807f58b264fcd1

Observation 5f3a8011-98ff-4402-ab29-eeb4223f2e32 · outbound

This paper cites Embedding Geometries of Contrastive Language-Image Pre-Training.

Language-based Color ISP Tuning Embedding Geometries of Contrastive Language-Image Pre-Training

Reference 36

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source=pdf_text observed=2026-08-04T17:39:25.332457Z digest=sha256:eda33af2c88824b40569c558b41ce0b41a0f85a6ce5c9ad46fd5d996e376d99d

Observation bbe2fbac-ff61-4dc5-aeb9-f27aa289f288 · outbound

This paper cites LAION-5b: An open large-scale dataset for training next generation image-text models,.

Language-based Color ISP Tuning LAION-5b: An open large-scale dataset for training next generation image-text models,

Reference 37

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source=pdf_text observed=2026-08-04T17:39:25.448776Z digest=sha256:14db0fa699d46ff9a5dd16e8761763a70ae5e76cd65a7d22e46d5f8ea13a7ae0

Observation 2fb7face-02f3-4e96-beb2-2646a1ebd9ec · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Language-based Color ISP Tuning PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 38

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source=pdf_text observed=2026-08-04T17:39:25.587901Z digest=sha256:73cc660e42a174113913bede2b8d69f02a603593444bffc4059ca13f953f5482

Observation 8bf2256d-a188-4910-9188-c9b8fac6cc8b · outbound

This paper cites Color in Visual-Language Models: CLIP deficiencies.

Language-based Color ISP Tuning Color in Visual-Language Models: CLIP deficiencies

Reference 39

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source=pdf_text observed=2026-08-04T17:39:25.717216Z digest=sha256:011d02300238153737f6106ad4dd9ed98d7c2eb4ec69487a04b1a685afd87a26

Observation f8234cda-8ec2-4009-9b71-0a0d05f2567a · outbound

This paper cites Measuring colorfulness in natural images,.

Language-based Color ISP Tuning Measuring colorfulness in natural images,

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