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Paper Citation Record · LEDGER

Language-based Color ISP Tuning

As of 19 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

Typed states for the displayed outbound observations.

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 2026-08-18T06:34:40.430872+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:a7c4a632d69e95f2b256ee4d5caada9aa4d242104b958a859bf5e576adf8b3af

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=sha256:6bf22b58e35ce88d64c3b1847daa783dcb19383c4eeec214bec1875a2f260a7b

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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source=pdf_text observed=2026-08-04T17:39:20.464495Z digest=sha256:c48d430e8915aa1441c1ee7295745ef515c6f8bd3f7ab6c3eab633bc3cc0f5e6

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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source=pdf_text observed=2026-08-04T17:39:20.839105Z digest=sha256:38e94b07877fe4be7c7a4424c956e1bd57692ab6823daab6e670fc229c5a5dd1

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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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=sha256:6670a5d0b92ac447ac4653d01f6a581e268ef1b66ce590f057f42ba03a7a43be

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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source=pdf_text observed=2026-08-04T17:39:21.276224Z digest=sha256:0c311dcc6edd9de9aadfa0d197d13d8681f089dca513449ee81f718aede5a105

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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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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source=pdf_text observed=2026-08-04T17:39:21.622964Z digest=sha256:82560620d342fdc8ce69099b6b17e8cfe02905819ddf9e415ed600c1be9d6e13

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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source=pdf_text observed=2026-08-04T17:39:21.784206Z digest=sha256:846faa8b2877c6aadd2009b9f19a4fb618dd05947f7a1316e454a5047a3dbc79

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=sha256:38735722b1ce13e20229f9bb5d85caeb904d80835cb6fef8ed2389d89d8508be

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=sha256:8f2db6f4c76578359e848067b4b7fcb1a86cafe5f62bbe6e8b23e36f335e12fb

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=sha256:57a7037c01c14c514c2b7ec7eab662f2a950e762a4742440c02a1ead47a5e94e

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:fa172dac43697e388b66fb3f9143c332f9b2bb123583162bed2e2ef06558f1dd

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=sha256:1f1b5f567b39f0880f21753eaa93be5a7820b79a4d06f8b14542e3dc37203c3d

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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source=pdf_text observed=2026-08-04T17:39:22.780378Z digest=sha256:c60b6f60fe0aebd5ca6c04c2a6e252cd9ad504ebd86880b5a851e5b74c3c4857

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=sha256:33cb5d0a330c8dc194a69ea01fb0bab0d439b10817b03cbff4bff144ce03abc3

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=sha256:6d0cd593c8e05da4e7923144daf297a5679d18d790c89bfe5fb333b0ceecdd0b

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:e253a657eccf71e32a42ee009e5f05fcbb5fea46e9a98b8e139de96b595573f8

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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source=pdf_text observed=2026-08-04T17:39:23.425491Z digest=sha256:96299611349a950e858a8004aa760b8c317fa7b85ba299a266735c85cc075082

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:c9d27bf6107d686fed2e586b7f4127f33729fb0a24d01b1324e6033f84de203f

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=sha256:96d25f9855c2b707c618a90d61e7107606d70e8480ed5a69379d23e68f9958d5

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:bd28b33d863f86020ece967604b70dc58c9e4a7de99967cb85b4c68a40b93bda

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=sha256:3d087164016e62e60037ae5d1a0fabaa2aa824e80a0f353eab316d981182418b

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=sha256:2946905e23d483a1200099e808cc55e2790df32c8a46e0e0ee3cd652869d05b5

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:a3ca20ca28d6416da5dd2cb3a829188c7eb8c034bb212da766330597da97e742

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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source=pdf_text observed=2026-08-04T17:39:24.677331Z digest=sha256:54f1094d85bc87357220b159311db40063c4a2442fadf7eeb5728079eac26b19

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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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:a4df08398edcab9dfe9835c7a96211d12fefb1e24b9631cecd27f429693f5c47

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:f5198c6f689a760a6d8698368c9e57fde49575f3a887dd79fc65867d72142ae6

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=sha256:641735394f7d26957066de82e7e1993a89977f3e764ae5c2268cf7afe437a696

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=sha256:87759026d3fd5262510fbf56cb8fff5f744630a132d8346a431f6397473eb85d

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=sha256:1fa862de3b34c197e2b06d4c1e971de7fbdbe5c578b02d1c17c4feaeda5127f2

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:f988de37797bcbf92428b2a961f994d1de83c3ccdc550f45c72efc378e0bf690

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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