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Source: paper_references, paper_reference_links, observed 2026-08-04T23:36:20.831364Z
Paper Citation Record · LEDGER
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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Source: paper_references, paper_reference_links, observed 2026-08-04T23:36:20.831364Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
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95 of 95 outbound references displayed
External citation measurements
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Observation 7ab72861-ad95-4477-9d5b-93cda47a6c71 · outbound
Hadamard-Domain Model Quantization for Learned Image Coding The jpeg still picture compression standard,
Reference 1
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Hadamard-Domain Model Quantization for Learned Image Coding Overview of the high efficiency video coding (hevc) standard,
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Hadamard-Domain Model Quantization for Learned Image Coding Overview of the versatile video coding (vvc) standard and its applications,
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Hadamard-Domain Model Quantization for Learned Image Coding Variational image compression with a scale hyperprior,
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Hadamard-Domain Model Quantization for Learned Image Coding Joint autoregressive and hierarchical priors for learned image compression,
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Hadamard-Domain Model Quantization for Learned Image Coding Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,
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Hadamard-Domain Model Quantization for Learned Image Coding Elic: Efficient learned image compression with unevenly grouped space- channel contextual adaptive coding,
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Hadamard-Domain Model Quantization for Learned Image Coding Learned image compression with mixed transformer-cnn architectures,
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Hadamard-Domain Model Quantization for Learned Image Coding Taming hierarchical image coding optimization: A spectral regularization perspective,
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Observation 6c89bb57-54d9-4273-8bcd-aa01fce4ce6c · outbound
Hadamard-Domain Model Quantization for Learned Image Coding IEEE Standard for Neural Network-Based Image Coding,
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Observation 1e35d7f1-cdff-4b5a-a48c-57c18df158bf · outbound
Hadamard-Domain Model Quantization for Learned Image Coding Rate-distortion optimized post-training quantization for learned image compression,
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Observation 2fb98f64-0173-41b7-8a08-ac260833b598 · outbound
Hadamard-Domain Model Quantization for Learned Image Coding A White Paper on Neural Network Quantization
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Observation adbd49ff-6433-4ac6-8cf5-f8f2f2be1daf · outbound
Hadamard-Domain Model Quantization for Learned Image Coding Activation and weight distribution balancing for optimal post-training quantization in learned image compression,
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Hadamard-Domain Model Quantization for Learned Image Coding Post- training quantization for cross-platform learned image compression,
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Hadamard-Domain Model Quantization for Learned Image Coding Device interop- erability for learned image compression with weights and activations quantization,
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Observation 0f360365-7f58-472d-a8b3-e97c92b256f5 · outbound
Hadamard-Domain Model Quantization for Learned Image Coding Quantized decoder in learned image compression for deterministic reconstruction,
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Hadamard-Domain Model Quantization for Learned Image Coding Efficient neural image decoding via fixed-point inference,
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Hadamard-Domain Model Quantization for Learned Image Coding Q-lic: Quantizing learned image compres- sion with channel splitting,
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Observation d62c5069-e86f-45ae-8741-be3157eed62f · outbound
Hadamard-Domain Model Quantization for Learned Image Coding End-to-end learned image compression with fixed point weight quantization,
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Observation b90dd507-cf00-44b5-92b5-2a424af24ab2 · outbound
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
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,
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Observation 86ba1003-df6a-4251-873b-85a75d711b05 · outbound
Hadamard-Domain Model Quantization for Learned Image Coding Mpp-lic: Mixed precision post-training quantization for learned image compression,
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Hadamard-Domain Model Quantization for Learned Image Coding Dynaquant: Dynamic mixed-precision quantization for learned image compression,
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Observation 2858b9c2-9945-444f-9aae-6d7c751efbf0 · outbound
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
Hadamard-Domain Model Quantization for Learned Image Coding Mixed-precision post- training quantization for learned image compression,
Reference 27
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Observation 3b8fe9ce-cc21-4c1b-b428-6e87b5d0e019 · outbound
Hadamard-Domain Model Quantization for Learned Image Coding Uniq: Uniform noise injection for non-uniform quantization of neural networks,
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Observation f55b437b-79da-4d31-a4b3-fe2ae8a260e6 · outbound
Hadamard-Domain Model Quantization for Learned Image Coding Clarke,Transform coding of images
Reference 29
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Observation fd5b4790-2e0e-48d6-b5c0-09427883606f · outbound
Hadamard-Domain Model Quantization for Learned Image Coding Theoretical foundations of transform coding,
Reference 30
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Observation e2dc381d-5107-427e-8ef4-13db0160aef1 · outbound
Hadamard-Domain Model Quantization for Learned Image Coding Hadamard transform image coding,
Reference 31
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Observation 4b361cad-275d-41b7-8329-d801cb57556a · outbound
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
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Observation 40d4aa92-91bc-4e2d-8d27-a097dff14616 · outbound
Hadamard-Domain Model Quantization for Learned Image Coding Nonlinear transform coding,
Reference 34
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Observation 034ff2c6-7d24-4e20-8860-cebbbea98ecd · outbound
Hadamard-Domain Model Quantization for Learned Image Coding Unresolved cited work
Reference 35
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Observation 5347479e-fdba-477c-9c9d-b49636454b8a · outbound
Hadamard-Domain Model Quantization for Learned Image Coding A method for the construction of minimum-redundancy codes,
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Observation c58f4bb5-1038-460c-a885-047349c25f2d · outbound
Hadamard-Domain Model Quantization for Learned Image Coding Discrete cosine transform,
Reference 37
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Observation 41eebc5a-5201-4bf1-9fe4-cc77b2a33996 · outbound
Hadamard-Domain Model Quantization for Learned Image Coding Complete discrete 2-d gabor transforms by neural networks for image analysis and compression,
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Observation cddb71bb-2ea8-419f-9335-be8b831aff1c · outbound
Hadamard-Domain Model Quantization for Learned Image Coding Image compression by back propagation: A demonstration of extensional programming,
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Hadamard-Domain Model Quantization for Learned Image Coding Neural network approaches to image compression,
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Observation ed4543bd-a927-48dd-a61c-e5d7f3e4c482 · outbound
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Hadamard-Domain Model Quantization for Learned Image Coding Variable rate image com- pression with recurrent neural networks,
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Hadamard-Domain Model Quantization for Learned Image Coding End-to-end optimized image compression,
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Hadamard-Domain Model Quantization for Learned Image Coding Channel-wise autoregressive entropy models for learned image compression,
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Observation 99d472d3-6acf-4e88-9863-58f42fa81bfb · outbound
Hadamard-Domain Model Quantization for Learned Image Coding Deep residual learning for image compression
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Hadamard-Domain Model Quantization for Learned Image Coding The devil is in the details: Window- based attention for image compression,
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Hadamard-Domain Model Quantization for Learned Image Coding Linear attention modeling for learned image compression,
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Hadamard-Domain Model Quantization for Learned Image Coding Mambaic: State space models for high-performance learned image compression,
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Hadamard-Domain Model Quantization for Learned Image Coding Learning convolutional networks for content-weighted image compression,
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Hadamard-Domain Model Quantization for Learned Image Coding Entroformer: A transformer-based entropy model for learned image compression,
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Hadamard-Domain Model Quantization for Learned Image Coding Contextformer: A transformer with spatio-channel attention for context modeling in learned image compression,
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Hadamard-Domain Model Quantization for Learned Image Coding Charge tunable structural phase transitions in few-layer tellurium: a step toward building mono-elemental devices
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Hadamard-Domain Model Quantization for Learned Image Coding QARV: Quantization-aware resnet vae for lossy image compression,
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Hadamard-Domain Model Quantization for Learned Image Coding Qarv++: An improved hierarchical vae for learned image compression,
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Hadamard-Domain Model Quantization for Learned Image Coding Lossy compression for lossless prediction,
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Hadamard-Domain Model Quantization for Learned Image Coding Deep joint source- channel coding for wireless image transmission,
Reference 56
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Observation a6aaed90-8de6-4418-8e2e-69344c8bcafd · outbound
Hadamard-Domain Model Quantization for Learned Image Coding Transtic: Transferring transformer-based image compression from human perception to machine perception,
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Hadamard-Domain Model Quantization for Learned Image Coding Perception-oriented latent coding for high-performance compressed domain semantic inference,
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Hadamard-Domain Model Quantization for Learned Image Coding Yoda: Yet another one-step diffusion-based video compressor,
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Hadamard-Domain Model Quantization for Learned Image Coding Toward extreme image compression with latent feature guidance and diffusion prior,
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Observation 5688a875-89d5-4260-9d42-b05a49cbc288 · outbound
Hadamard-Domain Model Quantization for Learned Image Coding 1.1 computing’s energy problem (and what we can do about it),
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Hadamard-Domain Model Quantization for Learned Image Coding Low-bit quantiza- tion of neural networks for efficient inference,
Reference 64
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Hadamard-Domain Model Quantization for Learned Image Coding Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model
Reference 65
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Hadamard-Domain Model Quantization for Learned Image Coding Advances in the neural network quantization: A comprehensive review,
Reference 66
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Hadamard-Domain Model Quantization for Learned Image Coding Gpt3. int8 (): 8-bit matrix multiplication for transformers at scale,
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Hadamard-Domain Model Quantization for Learned Image Coding On Quantizing Neural Representation for Variable-Rate Video Coding
Reference 68
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Hadamard-Domain Model Quantization for Learned Image Coding Hawq: Hessian aware quantization of neural networks with mixed-precision,
Reference 69
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Hadamard-Domain Model Quantization for Learned Image Coding 8-bit Numerical Formats for Deep Neural Networks
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Hadamard-Domain Model Quantization for Learned Image Coding Squeezellm: Dense-and-sparse quantization,
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Hadamard-Domain Model Quantization for Learned Image Coding Smoothquant: Accurate and efficient post-training quantization for large language models,
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Hadamard-Domain Model Quantization for Learned Image Coding Quarot: Outlier-free 4-bit inference in rotated llms,
Reference 73
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Hadamard-Domain Model Quantization for Learned Image Coding Spinquant: Llm quantization with learned rotations,
Reference 74
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Reference 77
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Hadamard-Domain Model Quantization for Learned Image Coding Structured pruning and quantization for learned image compression,
Reference 78
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Observation 916afe06-bb3a-4686-aff6-a9be9258ccde · outbound
Hadamard-Domain Model Quantization for Learned Image Coding Variable-rate learned image compression with integer-arithmetic-only inference,
Reference 79
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Hadamard-Domain Model Quantization for Learned Image Coding Seberry and M
Reference 80
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Reference 81
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Reference 82
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Reference 83
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Reference 84
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Hadamard-Domain Model Quantization for Learned Image Coding Hadamard matrices and their applica- tions,
Reference 85
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Reference 86
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Reference 87
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Reference 88
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Reference 89
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Reference 90
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Reference 91
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Reference 92
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Reference 93
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Hadamard-Domain Model Quantization for Learned Image Coding Calculation of average psnr differences between rd- curves,
Reference 94
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Reference 95
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