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Paper Citation Record · LEDGER

Hadamard-Domain Model Quantization for Learned Image Coding

As of 17 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 0 inbound Pith citation observations for arXiv:2608.01653.

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pith.paper-citation-record.v1
2608.01653 v1

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measured 95 of 95 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

Source: cited_works

Reference resolution

95 of 95 outbound references displayed

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External citation measurements

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Outbound references

Observation 7ab72861-ad95-4477-9d5b-93cda47a6c71 · outbound

This paper cites The jpeg still picture compression standard,.

Hadamard-Domain Model Quantization for Learned Image Coding The jpeg still picture compression standard,

Reference 1

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Observation c8bdb960-e80c-4037-9304-ff090ee41c7b · outbound

This paper cites Overview of the high efficiency video coding (hevc) standard,.

Hadamard-Domain Model Quantization for Learned Image Coding Overview of the high efficiency video coding (hevc) standard,

Reference 2

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Observation e93cb7de-c7ab-4704-9ef9-be304d57d2a3 · outbound

This paper cites Overview of the versatile video coding (vvc) standard and its applications,.

Hadamard-Domain Model Quantization for Learned Image Coding Overview of the versatile video coding (vvc) standard and its applications,

Reference 3

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Observation 5e8d3c45-00c2-4a0b-8c56-17452c91720b · outbound

This paper cites Variational image compression with a scale hyperprior,.

Hadamard-Domain Model Quantization for Learned Image Coding Variational image compression with a scale hyperprior,

Reference 4

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Observation 5f707150-3e5e-4a44-a396-21cf4504c490 · outbound

This paper cites Joint autoregressive and hierarchical priors for learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Joint autoregressive and hierarchical priors for learned image compression,

Reference 5

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Observation 51839d06-7e30-49ff-afe1-62ba8b55b377 · outbound

This paper cites Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,.

Hadamard-Domain Model Quantization for Learned Image Coding Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,

Reference 6

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Observation 2fd05043-71a6-4146-9666-bafb7d0e34bf · outbound

This paper cites Elic: Efficient learned image compression with unevenly grouped space- channel contextual adaptive coding,.

Hadamard-Domain Model Quantization for Learned Image Coding Elic: Efficient learned image compression with unevenly grouped space- channel contextual adaptive coding,

Reference 7

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Observation b53d7019-5f9f-41fc-bdb4-69ba9c70a25b · outbound

This paper cites Learned image compression with mixed transformer-cnn architectures,.

Hadamard-Domain Model Quantization for Learned Image Coding Learned image compression with mixed transformer-cnn architectures,

Reference 8

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Observation 5c69e093-a078-46a3-8286-772c05e8f00a · outbound

This paper cites Dit-ic: Aligned diffusion transformer for efficient image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Dit-ic: Aligned diffusion transformer for efficient image compression,

Reference 9

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Observation c21a9794-8011-4427-a8f6-8828ef0f2f57 · outbound

This paper cites Taming hierarchical image coding optimization: A spectral regularization perspective,.

Hadamard-Domain Model Quantization for Learned Image Coding Taming hierarchical image coding optimization: A spectral regularization perspective,

Reference 10

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Observation eaf8f1d4-5a54-40e0-b487-ec3a3900f25b · outbound

This paper cites Information technology—JPEG AI learning-based image coding system—Part 1: Core coding system,.

Hadamard-Domain Model Quantization for Learned Image Coding Information technology—JPEG AI learning-based image coding system—Part 1: Core coding system,

Reference 11

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Observation 6c89bb57-54d9-4273-8bcd-aa01fce4ce6c · outbound

This paper cites IEEE Standard for Neural Network-Based Image Coding,.

Hadamard-Domain Model Quantization for Learned Image Coding IEEE Standard for Neural Network-Based Image Coding,

Reference 12

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Observation 1e35d7f1-cdff-4b5a-a48c-57c18df158bf · outbound

This paper cites Rate-distortion optimized post-training quantization for learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Rate-distortion optimized post-training quantization for learned image compression,

Reference 13

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Observation 2fb98f64-0173-41b7-8a08-ac260833b598 · outbound

This paper cites A White Paper on Neural Network Quantization.

Hadamard-Domain Model Quantization for Learned Image Coding A White Paper on Neural Network Quantization

Reference 14

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Observation adbd49ff-6433-4ac6-8cf5-f8f2f2be1daf · outbound

This paper cites Activation and weight distribution balancing for optimal post-training quantization in learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Activation and weight distribution balancing for optimal post-training quantization in learned image compression,

Reference 15

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Observation dd088702-afe5-4b1a-ae1f-49f47ed54e75 · outbound

This paper cites Post- training quantization for cross-platform learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Post- training quantization for cross-platform learned image compression,

Reference 16

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Observation 744ba796-8e0d-4c14-a213-504a5dd89a7c · outbound

This paper cites Device interop- erability for learned image compression with weights and activations quantization,.

Hadamard-Domain Model Quantization for Learned Image Coding Device interop- erability for learned image compression with weights and activations quantization,

Reference 17

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Observation 0f360365-7f58-472d-a8b3-e97c92b256f5 · outbound

This paper cites Quantized decoder in learned image compression for deterministic reconstruction,.

Hadamard-Domain Model Quantization for Learned Image Coding Quantized decoder in learned image compression for deterministic reconstruction,

Reference 18

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Observation dd5fd6f0-39b6-4bf3-a452-5494865d7c2e · outbound

This paper cites Efficient neural image decoding via fixed-point inference,.

Hadamard-Domain Model Quantization for Learned Image Coding Efficient neural image decoding via fixed-point inference,

Reference 19

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Observation 3bbe1caf-2988-4403-9d05-02d5b875fc21 · outbound

This paper cites Q-lic: Quantizing learned image compres- sion with channel splitting,.

Hadamard-Domain Model Quantization for Learned Image Coding Q-lic: Quantizing learned image compres- sion with channel splitting,

Reference 20

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Observation d62c5069-e86f-45ae-8741-be3157eed62f · outbound

This paper cites End-to-end learned image compression with fixed point weight quantization,.

Hadamard-Domain Model Quantization for Learned Image Coding End-to-end learned image compression with fixed point weight quantization,

Reference 21

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Observation b90dd507-cf00-44b5-92b5-2a424af24ab2 · outbound

This paper cites Learned image compression with fixed- point arithmetic,.

Hadamard-Domain Model Quantization for Learned Image Coding Learned image compression with fixed- point arithmetic,

Reference 22

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Observation c55f51af-3cb4-46db-97e1-31626f51acd3 · outbound

This paper cites Subset-selection weight JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 13 post-training quantization method for learned image compression task,.

Hadamard-Domain Model Quantization for Learned Image Coding Subset-selection weight JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 13 post-training quantization method for learned image compression task,

Reference 23

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Observation 86ba1003-df6a-4251-873b-85a75d711b05 · outbound

This paper cites Mpp-lic: Mixed precision post-training quantization for learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Mpp-lic: Mixed precision post-training quantization for learned image compression,

Reference 24

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Observation 80479050-01ae-4fe5-ae6f-c7def37f8f68 · outbound

This paper cites Dynaquant: Dynamic mixed-precision quantization for learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Dynaquant: Dynamic mixed-precision quantization for learned image compression,

Reference 25

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Observation 2858b9c2-9945-444f-9aae-6d7c751efbf0 · outbound

This paper cites Flexible mixed precision quan- tization for learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Flexible mixed precision quan- tization for learned image compression,

Reference 26

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Observation 4cf22242-560b-4c36-a9f1-e89c947e7bf9 · outbound

This paper cites Mixed-precision post- training quantization for learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Mixed-precision post- training quantization for learned image compression,

Reference 27

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This paper cites Uniq: Uniform noise injection for non-uniform quantization of neural networks,.

Hadamard-Domain Model Quantization for Learned Image Coding Uniq: Uniform noise injection for non-uniform quantization of neural networks,

Reference 28

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Observation f55b437b-79da-4d31-a4b3-fe2ae8a260e6 · outbound

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Hadamard-Domain Model Quantization for Learned Image Coding Clarke,Transform coding of images

Reference 29

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Hadamard-Domain Model Quantization for Learned Image Coding Theoretical foundations of transform coding,

Reference 30

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Hadamard-Domain Model Quantization for Learned Image Coding Hadamard transform image coding,

Reference 31

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Hadamard-Domain Model Quantization for Learned Image Coding Vector quantization,

Reference 32

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Hadamard-Domain Model Quantization for Learned Image Coding Gersho and R

Reference 33

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Hadamard-Domain Model Quantization for Learned Image Coding Nonlinear transform coding,

Reference 34

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Hadamard-Domain Model Quantization for Learned Image Coding Unresolved cited work

Reference 35

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Hadamard-Domain Model Quantization for Learned Image Coding A method for the construction of minimum-redundancy codes,

Reference 36

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Observation c58f4bb5-1038-460c-a885-047349c25f2d · outbound

This paper cites Discrete cosine transform,.

Hadamard-Domain Model Quantization for Learned Image Coding Discrete cosine transform,

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:36:14.256665Z digest=sha256:598e2dfc237f8c3a5834b1a93bf22d99096659f9a9f4cc11afe229ba42d624c4

Observation 41eebc5a-5201-4bf1-9fe4-cc77b2a33996 · outbound

This paper cites Complete discrete 2-d gabor transforms by neural networks for image analysis and compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Complete discrete 2-d gabor transforms by neural networks for image analysis and compression,

Reference 38

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raw_fallback, observed 2026-08-04T23:36:21.904754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:14.470456Z digest=sha256:1251c8568b1407cbc59ebe43946f69a951e38965b8a61ceb96e6bcea183ab882

Observation cddb71bb-2ea8-419f-9335-be8b831aff1c · outbound

This paper cites Image compression by back propagation: A demonstration of extensional programming,.

Hadamard-Domain Model Quantization for Learned Image Coding Image compression by back propagation: A demonstration of extensional programming,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.893875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:14.609103Z digest=sha256:53f1d041296e2f4c91856b191ecd01942b9730fb11c745e9c07c8995bcbb58bf

Observation 3eaffa43-d753-44c6-9f32-35ed3f1a302a · outbound

This paper cites Neural network approaches to image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Neural network approaches to image compression,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.884470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:14.731473Z digest=sha256:a7932c7c4024771002590a6ede2705e6a75b6e6e142871d81f5b00e2ef50151f

Observation ed4543bd-a927-48dd-a61c-e5d7f3e4c482 · outbound

This paper cites Image compression with neural networks: A survey,.

Hadamard-Domain Model Quantization for Learned Image Coding Image compression with neural networks: A survey,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.875531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:14.894322Z digest=sha256:acdec4bd02dd548e4021643f5189341bb3383573dece741a839f4e1805760f3d

Observation f2a84b58-6e88-4dce-8aa1-e964b6090a3c · outbound

This paper cites Variable rate image com- pression with recurrent neural networks,.

Hadamard-Domain Model Quantization for Learned Image Coding Variable rate image com- pression with recurrent neural networks,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.866103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:15.026287Z digest=sha256:29a670827725c3b163d77310c71dea82c234581e4d8510ca9493565d48b31777

Observation 9f3abfbe-5dd2-4579-9ef5-de332fd399a5 · outbound

This paper cites End-to-end optimized image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding End-to-end optimized image compression,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.855860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:15.184929Z digest=sha256:bc3a13134259391f8e3cea816f32d06be279307a1068f71f5c10b565bc585e21

Observation 4737435c-8e27-47ea-be08-9ed041df3b06 · outbound

This paper cites Channel-wise autoregressive entropy models for learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Channel-wise autoregressive entropy models for learned image compression,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T23:36:15.383559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:36:15.383559Z digest=sha256:7f92080ba820a6a21f8e0c49b1ef736151fbfc0833095a47a8fbbee29a082b3d

Observation 99d472d3-6acf-4e88-9863-58f42fa81bfb · outbound

This paper cites Deep residual learning for image compression.

Hadamard-Domain Model Quantization for Learned Image Coding Deep residual learning for image compression

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.842310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:15.438114Z digest=sha256:d0d4e7de5bbe3c8e062498171c7c9bef85f41ab109800aaf4ca22b36fa24c33a

Observation 3122f9c8-4b32-4148-80e7-24ee149a81ed · outbound

This paper cites The devil is in the details: Window- based attention for image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding The devil is in the details: Window- based attention for image compression,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.833403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:15.560044Z digest=sha256:c699bb3eccdf323ff26173a0e85d63c6e5ccfcde5d6c6e3c1f865af1362242c0

Observation d6f5da61-d568-42ee-9bff-9d498ab3a6f0 · outbound

This paper cites Linear attention modeling for learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Linear attention modeling for learned image compression,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.825130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:15.731710Z digest=sha256:137bc55377713eaba9e481c6bbf94bba7b0e88e8d38f5c8daa0d8f7be65c77b3

Observation d23b4504-2179-423c-9817-cf5ca0d2e8a9 · outbound

This paper cites Mambaic: State space models for high-performance learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Mambaic: State space models for high-performance learned image compression,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.816218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:15.859796Z digest=sha256:840526dfeb8e915497bb7e1e2e9e698af48710a24c7c7a15da24f60ca8e7eb63

Observation d0c2b6b6-f3cb-4918-9a53-adbaec7e44bf · outbound

This paper cites Learning convolutional networks for content-weighted image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Learning convolutional networks for content-weighted image compression,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.806862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:15.947344Z digest=sha256:fb1d46ef007cda8f91dfac2b7ea0b1f128445bd1c4ee059c2db68a3c42107eda

Observation d9e5a7cf-5aba-4c36-b4c0-8a3c3484c0d4 · outbound

This paper cites Entroformer: A transformer-based entropy model for learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Entroformer: A transformer-based entropy model for learned image compression,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.795956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:16.018411Z digest=sha256:43b89f6dda0ea8ed54a1815be2310c95efb8cf905eda16cd05874372e80d3b5d

Observation b60369d9-34f3-4e54-8596-7ec452835d0d · outbound

This paper cites Contextformer: A transformer with spatio-channel attention for context modeling in learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Contextformer: A transformer with spatio-channel attention for context modeling in learned image compression,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.787173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:16.112624Z digest=sha256:2bbe4c7a9a6bf7c53035b8d8e2b1731f01c4f1dbf373921c788874e363a81a92

Observation 11c5bf83-8739-44d9-bc9f-9349347901e2 · outbound

This paper cites Charge tunable structural phase transitions in few-layer tellurium: a step toward building mono-elemental devices.

Hadamard-Domain Model Quantization for Learned Image Coding Charge tunable structural phase transitions in few-layer tellurium: a step toward building mono-elemental devices

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-08-04T23:36:21.282159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:16.183656Z digest=sha256:775b6ecbd3f482eb330a04fee0a07dd4a8d52574751448c9604b86012a8956c6

Observation 4a5a4362-31c2-4919-81b4-e7053b4732af · outbound

This paper cites QARV: Quantization-aware resnet vae for lossy image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding QARV: Quantization-aware resnet vae for lossy image compression,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.778817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:16.281197Z digest=sha256:4df7b691fffe7b08aeab1436d76f1caed316bdfe0836609f1cb8c2110e0346d6

Observation 51fb62ba-19b6-45bc-b486-d8ef5af76ff0 · outbound

This paper cites Qarv++: An improved hierarchical vae for learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Qarv++: An improved hierarchical vae for learned image compression,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.769358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:16.342021Z digest=sha256:91e4f7d0ea2a3d686b9db3ffc869ee670019468a9e8bd1de0230e87c3fff9f1d

Observation d49bc6c2-79c3-4ff8-9cf3-861a2fb67805 · outbound

This paper cites Lossy compression for lossless prediction,.

Hadamard-Domain Model Quantization for Learned Image Coding Lossy compression for lossless prediction,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.759660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:16.440340Z digest=sha256:28bdb80e19817927255ba583bcaf022ed59275d7d05faa814d4dcf4c4f45286d

Observation ace756e7-0f46-4faf-903e-d937c9ccd1b8 · outbound

This paper cites Deep joint source- channel coding for wireless image transmission,.

Hadamard-Domain Model Quantization for Learned Image Coding Deep joint source- channel coding for wireless image transmission,

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-04T23:36:16.528731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:36:16.528731Z digest=sha256:31d4c4a9c036b439ab12b459cd43b29a32b60f6ddc80e814d3916238f0ab2d95

Observation a6aaed90-8de6-4418-8e2e-69344c8bcafd · outbound

This paper cites Transtic: Transferring transformer-based image compression from human perception to machine perception,.

Hadamard-Domain Model Quantization for Learned Image Coding Transtic: Transferring transformer-based image compression from human perception to machine perception,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.746200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:16.633033Z digest=sha256:255407f1597a08b93cc9816f7a5789145e1ca1f9dc236109d9e661445ed04dee

Observation 301ff777-7217-4cf4-9abb-0669642f6390 · outbound

This paper cites Perception-oriented latent coding for high-performance compressed domain semantic inference,.

Hadamard-Domain Model Quantization for Learned Image Coding Perception-oriented latent coding for high-performance compressed domain semantic inference,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.737608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:16.736144Z digest=sha256:d31ec810c9c361e63a8f9db7a6f4b5c79e519dbb03ad240a6e026bfdf8700945

Observation 949b9cd8-fd90-4000-9ef4-57d9ec71fb24 · outbound

This paper cites Lossy image compression with conditional dif- fusion models,.

Hadamard-Domain Model Quantization for Learned Image Coding Lossy image compression with conditional dif- fusion models,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.728705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:16.831856Z digest=sha256:dd73da5c8dfbfd7a67f63106696fffb1f584c2731b34e32b01600eea3b8979e2

Observation 549045ea-0a72-4bcb-bf65-a2af02424491 · outbound

This paper cites Lossy image compression with foundation diffusion models,.

Hadamard-Domain Model Quantization for Learned Image Coding Lossy image compression with foundation diffusion models,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.719741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:16.902194Z digest=sha256:36201ee700a3b6f5908a206a3ef21b00b2f953fea70866846fed4847f541268c

Observation 025f3c53-6f51-44c5-9dc0-01ee4fcc9088 · outbound

This paper cites Yoda: Yet another one-step diffusion-based video compressor,.

Hadamard-Domain Model Quantization for Learned Image Coding Yoda: Yet another one-step diffusion-based video compressor,

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-04T23:36:16.996120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:36:16.996120Z digest=sha256:f8d95393027195dfa6daadce887e6b314f9afeac0f5d3245efefc79769096293

Observation 94851c27-cdd0-4252-a770-5545715cefb7 · outbound

This paper cites Toward extreme image compression with latent feature guidance and diffusion prior,.

Hadamard-Domain Model Quantization for Learned Image Coding Toward extreme image compression with latent feature guidance and diffusion prior,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.710966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:17.108602Z digest=sha256:96eb2ff67a0970e8769f7b62b648e3c2d0c2bb9959614f8398d7715106ecb777

Observation 5688a875-89d5-4260-9d42-b05a49cbc288 · outbound

This paper cites 1.1 computing’s energy problem (and what we can do about it),.

Hadamard-Domain Model Quantization for Learned Image Coding 1.1 computing’s energy problem (and what we can do about it),

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.702548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:17.346690Z digest=sha256:eaa06ba29fb4f9bcecf5b17949dd0b1a050e9c6e9dc8eb13071975cdfd0faa52

Observation b4f21d5e-9b2c-49ca-a984-ef86802f77e7 · outbound

This paper cites Low-bit quantiza- tion of neural networks for efficient inference,.

Hadamard-Domain Model Quantization for Learned Image Coding Low-bit quantiza- tion of neural networks for efficient inference,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.692866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:17.572914Z digest=sha256:67cfce55df12f02b2f16c0e3766b33a80df7228b43905128272e64bf6c8992a6

Observation f04f5448-cad6-49df-a76f-a190d1d5aa7a · outbound

This paper cites Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model.

Hadamard-Domain Model Quantization for Learned Image Coding Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-08-04T23:36:21.101736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:17.721553Z digest=sha256:feefd5d6a22567bb3d6a7066de495376df22fe16a04289267f3f5f16b319ce61

Observation 88a25232-f930-4fa5-bc9d-7d0aac8b9082 · outbound

This paper cites Advances in the neural network quantization: A comprehensive review,.

Hadamard-Domain Model Quantization for Learned Image Coding Advances in the neural network quantization: A comprehensive review,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-04T23:36:17.946597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:36:17.946597Z digest=sha256:a8cf5b1e40760d1c0c237548f83b65c9b1c426724b96f6c6d0a2e2e90faa2dd6

Observation d49937c4-3ee1-41d4-bea4-a12a3f082308 · outbound

This paper cites Gpt3. int8 (): 8-bit matrix multiplication for transformers at scale,.

Hadamard-Domain Model Quantization for Learned Image Coding Gpt3. int8 (): 8-bit matrix multiplication for transformers at scale,

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-04T23:36:18.063751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:36:18.063751Z digest=sha256:becac1c2f1e53c39bd16723750e3e15de73823ceb18ebd1183d75fb12455bb4b

Observation 8a209113-84f0-4dcb-a697-93a7b6b5b624 · outbound

This paper cites On Quantizing Neural Representation for Variable-Rate Video Coding.

Hadamard-Domain Model Quantization for Learned Image Coding On Quantizing Neural Representation for Variable-Rate Video Coding

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-08-04T23:36:20.987529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:18.286752Z digest=sha256:e6174685f294b71055fa960073f6f560fa11983c86ff4bb1df5ae03e6888f787

Observation c9a3eed1-fade-4487-ba47-0b87b176a349 · outbound

This paper cites Hawq: Hessian aware quantization of neural networks with mixed-precision,.

Hadamard-Domain Model Quantization for Learned Image Coding Hawq: Hessian aware quantization of neural networks with mixed-precision,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.674283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:18.572612Z digest=sha256:4cc294aaf5371ee1f25dfc20d1cc7cbd3a4ca8733b16c0765c6acfd60965d7f8

Observation 3424be5e-032d-435d-a309-a2ae40253e98 · outbound

This paper cites 8-bit Numerical Formats for Deep Neural Networks.

Hadamard-Domain Model Quantization for Learned Image Coding 8-bit Numerical Formats for Deep Neural Networks

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-04T23:36:18.802917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:36:18.802917Z digest=sha256:d8a7f455b55f7b772c608cdd679b80b6f80f8b5a75e27af557066350438f88b3

Observation 417754dc-f9be-4bfb-a466-df0eed12b46f · outbound

This paper cites Squeezellm: Dense-and-sparse quantization,.

Hadamard-Domain Model Quantization for Learned Image Coding Squeezellm: Dense-and-sparse quantization,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.664178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:18.875107Z digest=sha256:9cb73fcdd5f6b5f47ddfb2e651c5ba395e0162046da202e4920711c3685e130d

Observation bc082521-5fcf-43a3-93c6-160bced0591e · outbound

This paper cites Smoothquant: Accurate and efficient post-training quantization for large language models,.

Hadamard-Domain Model Quantization for Learned Image Coding Smoothquant: Accurate and efficient post-training quantization for large language models,

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-04T23:36:18.925631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:36:18.925631Z digest=sha256:d81c9ab51b1a57384e2dc7d9cbeb66fd305dd3b6eeb6aec2181efd5d42f36ce3

Observation 00256c05-f978-4e6f-95af-f3dfff10424b · outbound

This paper cites Quarot: Outlier-free 4-bit inference in rotated llms,.

Hadamard-Domain Model Quantization for Learned Image Coding Quarot: Outlier-free 4-bit inference in rotated llms,

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-04T23:36:19.006158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation feb69c20-761a-486b-b8e4-090075b4e777 · outbound

This paper cites Spinquant: Llm quantization with learned rotations,.

Hadamard-Domain Model Quantization for Learned Image Coding Spinquant: Llm quantization with learned rotations,

Reference 74

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verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.645160Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0525b83a-7096-4acd-89ad-a03aa56ac4d6 · outbound

This paper cites QuIP#: Even better LLM quantization with hadamard incoherence and lattice codebooks,.

Hadamard-Domain Model Quantization for Learned Image Coding QuIP#: Even better LLM quantization with hadamard incoherence and lattice codebooks,

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.635793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 85269343-a634-41a0-92f6-949f6f1eabf2 · outbound

This paper cites Integer networks for data compression with latent-variable models,.

Hadamard-Domain Model Quantization for Learned Image Coding Integer networks for data compression with latent-variable models,

Reference 76

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verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.626729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 79ba9ab2-7c19-4442-ae93-e7feec88e978 · outbound

This paper cites Integer quantized learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Integer quantized learned image compression,

Reference 77

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verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.617346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2b153be8-9f4b-459d-be06-19013b6f490a · outbound

This paper cites Structured pruning and quantization for learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Structured pruning and quantization for learned image compression,

Reference 78

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verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.607450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:19.318228Z digest=sha256:97dcbede30652effbfea0533965af623c79d2bad3f0fdc9447b8be84b298da52

Observation 916afe06-bb3a-4686-aff6-a9be9258ccde · outbound

This paper cites Variable-rate learned image compression with integer-arithmetic-only inference,.

Hadamard-Domain Model Quantization for Learned Image Coding Variable-rate learned image compression with integer-arithmetic-only inference,

Reference 79

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verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.596715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:19.372078Z digest=sha256:624acd741a20b4f455e4bed4d9316560a63056c1ea870519d483a6bc9cdf693a

Observation eff9f145-234d-455e-b46e-aecb63c5eeb9 · outbound

This paper cites Seberry and M.

Hadamard-Domain Model Quantization for Learned Image Coding Seberry and M

Reference 80

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verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.586673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 34d4a19c-d5fb-4c3b-ad6f-c5b90a079664 · outbound

This paper cites On the meaning and use of kurtosis.

Hadamard-Domain Model Quantization for Learned Image Coding On the meaning and use of kurtosis

Reference 81

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verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.574843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 59d383b0-cb3f-4f2a-ba00-2f524d6da0f3 · outbound

This paper cites Normality testing methods and the importance of skewness and kurtosis in statistical analysis,.

Hadamard-Domain Model Quantization for Learned Image Coding Normality testing methods and the importance of skewness and kurtosis in statistical analysis,

Reference 82

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verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.557763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d61c76d7-d7b9-4a18-a18d-e97454300134 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Hadamard-Domain Model Quantization for Learned Image Coding Gaussian Error Linear Units (GELUs)

Reference 83

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unresolved
no resolver link, observed 2026-08-04T23:36:19.634016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:36:19.634016Z digest=sha256:f97dd9117e8ce4c6b6b305234456d1197cc4eecc64d46f5619eb376008399c5a

Observation ce127892-92e6-488a-8e59-14f1d87cee54 · outbound

This paper cites Density Modeling of Images using a Generalized Normalization Transformation.

Hadamard-Domain Model Quantization for Learned Image Coding Density Modeling of Images using a Generalized Normalization Transformation

Reference 84

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unresolved
no resolver link, observed 2026-08-04T23:36:19.658730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:36:19.658730Z digest=sha256:f393638fe583a07a414661c18c138f76fd763fab4f942513c6d345160aa34148

Observation a70b463d-4849-4c65-b30f-0ebb4880f6db · outbound

This paper cites Hadamard matrices and their applica- tions,.

Hadamard-Domain Model Quantization for Learned Image Coding Hadamard matrices and their applica- tions,

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-04T23:36:19.818327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:36:19.818327Z digest=sha256:6cd3ac3d0c460c057bb898de10775405af01bb33aefae524db0c268c841c5a09

Observation a6c74245-6412-454c-a4cf-6cb87781fd83 · outbound

This paper cites Up or down? adaptive rounding for post-training quantization,.

Hadamard-Domain Model Quantization for Learned Image Coding Up or down? adaptive rounding for post-training quantization,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.527911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:19.962277Z digest=sha256:d172fa07e65a30ba15985a8f93c65c7461c0cbe7d74500d7ca31ab382f7babc6

Observation 64c38d8e-a953-4769-abbf-586e0dcf1773 · outbound

This paper cites BRECQ: Pushing the limit of post-training quantization by block reconstruction,.

Hadamard-Domain Model Quantization for Learned Image Coding BRECQ: Pushing the limit of post-training quantization by block reconstruction,

Reference 87

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verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.507041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9ffa37cc-ba7f-4318-b7fb-1b0bbe45e01e · outbound

This paper cites On quantizing neural representation for variable-rate video coding,.

Hadamard-Domain Model Quantization for Learned Image Coding On quantizing neural representation for variable-rate video coding,

Reference 88

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verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.487372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:20.149082Z digest=sha256:25e40974721be867f34bd19d65f3aab3940cb743421a38bd94103104f2059e11

Observation e2689950-fe67-4aa1-ac07-2acb052d3780 · outbound

This paper cites Mlic: Multi- reference entropy model for learned image compression,.

Hadamard-Domain Model Quantization for Learned Image Coding Mlic: Multi- reference entropy model for learned image compression,

Reference 89

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verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.467913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:20.260439Z digest=sha256:28b7f7a8f935e35530c3796e4b1642dced2f9e18d77f1ebdf16520c47dd87eb7

Observation 20db8065-7164-4896-bf09-eb6da0a5d9dd · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study,.

Hadamard-Domain Model Quantization for Learned Image Coding Ntire 2017 challenge on single image super-resolution: Dataset and study,

Reference 90

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verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.453391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:20.333420Z digest=sha256:f9b535cdf2db827df59942c23ab19c642b70275cc42510d387e026f3dc9750ba

Observation 7e013a9c-685f-4b80-99ed-73c03a604cdd · outbound

This paper cites Kodak lossless true color image suite (photocd pcd0992),.

Hadamard-Domain Model Quantization for Learned Image Coding Kodak lossless true color image suite (photocd pcd0992),

Reference 91

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verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.433174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:20.443594Z digest=sha256:387db611560b4159ebf8b6c67ca852708991dccf31014b4603cbcf91cf4ed803

Observation 59e31f7c-ea08-4b68-ae69-d4e60e6aa483 · outbound

This paper cites Testimages: a large-scale archive for testing visual devices and basic image processing algorithms.

Hadamard-Domain Model Quantization for Learned Image Coding Testimages: a large-scale archive for testing visual devices and basic image processing algorithms

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.410448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:20.552499Z digest=sha256:e238d80c81ffe0deb70b99e5ef0550f890a152fa7d04d358e824696b1f746054

Observation efaab4dc-4501-4780-8320-4c1df271a4a0 · outbound

This paper cites Workshop and challenge on learned image compression (clic2020),.

Hadamard-Domain Model Quantization for Learned Image Coding Workshop and challenge on learned image compression (clic2020),

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.395276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T23:36:20.663997Z digest=sha256:8bac2f17740d3cd2912739bba91361de5d4f979a3563de10babd33a61122a6e5

Observation fa8ebb7a-23ae-4d0b-840e-178b591024b3 · outbound

This paper cites Calculation of average psnr differences between rd- curves,.

Hadamard-Domain Model Quantization for Learned Image Coding Calculation of average psnr differences between rd- curves,

Reference 94

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unresolved
no resolver link, observed 2026-08-04T23:36:20.778882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:36:20.778882Z digest=sha256:9a0cd981ae87f950363364469f68f3760f2ff6a713d309a3f8e0f7edcd924e02

Observation bb5d7ee8-51ea-4aea-a422-2048c8994b32 · outbound

This paper cites Constructions of hadamard matrices,.

Hadamard-Domain Model Quantization for Learned Image Coding Constructions of hadamard matrices,

Reference 95

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verified fuzzy
raw_fallback, observed 2026-08-04T23:36:21.372057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.