MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models | Paper Citation Record

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Wood , title =

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models 2023 , url =

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Approximate Computing: A Survey , year=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models PLDI , year=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Density-Based Semantics for Reactive Probabilistic Programming

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Advances in Variational Inference , journal =

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models 2022 , url =

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models 2020 Design, Automation

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Reproducing the Universe: a comparison between the EAGLE simulations and the nearby DustPedia galaxy sample

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Rozier and Johann Schumann , editor =

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Bayesian Robot Programming , journal =

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models 2013 , url=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models 2017 , url =

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Banerjee and Zbigniew T

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks , booktitle =

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Journal of the American statistical Association , year=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Design Automation Conference (DAC) , year=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems,

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Deep Amortized Inference for Probabilistic Programs

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Continualization of Probabilistic Programs With Correction , booktitle =

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models and Henzinger, Thomas A

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Proceedings of the 55th Annual Design Automation Conference,

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models arXiv: Learning , year=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models An Unbiased

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models ProbLP: A framework for low-precision probabilistic inference

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Neurocomputing , volume =

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Beyond Application End-Point Results: Quantifying Statistical Robustness of MCMC Accelerators

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Vechev , editor =

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models IEEE Standard for Floating-Point Arithmetic , year=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Compiling Stan to generative probabilistic languages and extension to deep probabilistic programming , booktitle =

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Journal of Statistical Software , author=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Automatically improving accuracy for floating point expressions , booktitle =

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models A Survey of Model Compression and Acceleration for Deep Neural Networks

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models and Jankowiak, Martin and Obermeyer, Fritz and Pradhan, Neeraj and Karaletsos, Theofanis and Singh, Rohit and Szerlip, Paul and Horsfall, Paul and Goodman, Noah D

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Fully Convolutional Networks for Semantic Segmentation

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Latency-Constrained Input-Aware Quantization of Time Series Inference Workflows at the Edge , year=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models NeurIPS ML for Systems workshop, 2018 , year=

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Search What You Want: Barrier Panelty

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Temporal Dynamic Quantization for Diffusion Models , booktitle =

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Observation 1bdbd0b5-7c40-4c1c-90fa-81e91607846b · outbound

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Reference 63

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Observation a9fb9406-5774-4738-b870-b62e0220919c · outbound

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Reference 64

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Observation dbdc84b7-d2ac-4479-adf6-6fa3a91f832b · outbound

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Reference 65

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Observation abfeeef1-441f-49ef-8569-d77ff42750c2 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation , pages=

Reference 66

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Unavailable: canonical work link unavailable.

Observation 93c584c7-2a11-425f-a2d7-3c49bbe37f69 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Robust Quantization: One Model to Rule Them All

Reference 67

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Observation 6c0ac780-7752-480a-b920-63d0a6f8a4c0 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models MultiQuant: Training Once for Multi-bit Quantization of Neural Networks , url =

Reference 68

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Observation eaecd5b9-d5ad-4cc0-a998-27044ed494e7 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks , booktitle =

Reference 69

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Observation cfd4735d-d734-4612-9c87-4058111c2903 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 70

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Observation 210a3200-4c70-4a10-9424-6d0900b523e8 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Classification of Radar Targets using Features Based on Warped Discrete Fourier Transform , url =

Reference 71

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Observation 2cff81bb-0999-4b8d-a4cd-0a7f734ca3ec · outbound

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Reference 72

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Observation f5e16c7a-b2dd-41db-b466-50a908b7af55 · outbound

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Reference 73

Resolution: verified exact; doi, observed 2026-08-01T03:53:27.584491Z

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Observation 3f077559-c12e-452c-8e20-ff91d8ea76c3 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Progressive Neural Compression for Adaptive Image Offloading Under Timing Constraints , url=

Reference 74

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Unavailable: canonical work link unavailable.

Observation dd388dfd-681f-4d20-a8c8-60a4bf120bdf · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 75

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Unavailable: canonical work link unavailable.

Observation b9d66156-0194-46d0-95bc-8d96d2fee6d9 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models and Zhu, Menglong and Zhmoginov, Andrey and Chen, Liang-Chieh , title =

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.598223Z

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Unavailable: canonical work link unavailable.

Observation 2918f401-5f66-4263-9dee-00a962d5169d · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models and Adam, Hartwig , title =

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.600960Z

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Unavailable: canonical work link unavailable.

Observation 8bde1069-e876-480a-944c-57a4665fec21 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 78

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Observation 18e3d349-bc72-4f68-8f97-6cdd39782a73 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models 2024 33rd International Conference on Computer Communications and Networks (ICCCN) , pages=

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.606423Z

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Unavailable: canonical work link unavailable.

Observation 995c3780-315b-4938-9eb3-df9ea9b297e9 · outbound

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Reference 80

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Unavailable: canonical work link unavailable.

Observation 696bfb10-07b2-4100-b69a-a2a0995c8923 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Adam: A Method for Stochastic Optimization

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.611803Z

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Unavailable: canonical work link unavailable.

Observation 97488244-4a8e-4cb4-88e6-4fab2ae35d32 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.614688Z

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Unavailable: canonical work link unavailable.

Observation bbd8263a-a2c0-4c32-bfb7-b215b89d7876 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models PACT: Parameterized Clipping Activation for Quantized Neural Networks

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.617782Z

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Unavailable: canonical work link unavailable.

Observation 434502ee-95ff-4306-b3a8-e3e5132ad50a · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Hard Sample Matters a Lot in Zero-Shot Quantization

Reference 84

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Observation 3e8ae0d5-6218-4384-b3f0-6f9268a47943 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems , pages=

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.623495Z

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Unavailable: canonical work link unavailable.

Observation e5ec6c4f-f4a8-4632-9a67-5553b9f11404 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models 2024 33rd International Conference on Computer Communications and Networks (ICCCN) , pages=

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.626147Z

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Unavailable: canonical work link unavailable.

Observation d1741d34-8e0a-4b6c-a726-d57b39c6326a · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Proceedings of the ACM on Web Conference 2024 , pages=

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.628938Z

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Unavailable: canonical work link unavailable.

Observation 6f16d394-a09d-46b6-a954-18ebf2dbddc5 · outbound

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Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.631715Z

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Unavailable: canonical work link unavailable.

Observation f188ebce-64fa-4c6f-8c09-965dbaab8d22 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.634251Z

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Unavailable: canonical work link unavailable.

Observation d27db97e-eec6-4031-968d-c1e19e43208e · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Unresolved cited work

Reference 90

Resolution: verified exact; doi, observed 2026-08-01T03:53:27.234846Z

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Observation d52c2a5a-da13-48e0-9a6b-8457fbc1ddb4 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.639636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7495ec3a-6fc1-4902-841b-79f6b2665059 · outbound

This paper cites an unresolved cited work.

MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Unresolved cited work

Reference 92

Resolution: verified exact; doi, observed 2026-08-01T03:53:27.115574Z

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Observation be4dcddd-8248-469d-8fc4-8a508d58fdf2 · outbound

This paper cites an unresolved cited work.

MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Unresolved cited work

Reference 93

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Unavailable: canonical work link unavailable.

Observation 3565674b-bcb7-43b3-b56f-b8ef258b7433 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Triton: an intermediate language and compiler for tiled neural network computations , booktitle =

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.648507Z

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Unavailable: canonical work link unavailable.

Observation bdb35515-9976-49ef-9a92-2661b16a90d7 · outbound

This paper cites an unresolved cited work.

MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Unresolved cited work

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.651381Z

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Unavailable: canonical work link unavailable.

Observation 32808eaf-1304-4e5e-aefc-defcc1e3c61b · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Compressing Deep Convolutional Networks using Vector Quantization

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.653950Z

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Unavailable: canonical work link unavailable.

Observation c91577dc-6707-4f69-9160-3f2740e60d8d · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Gray , title =

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.656984Z

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Unavailable: canonical work link unavailable.

Observation e79d920c-b3ab-4eb9-9c4e-a06f2dc724f7 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models , journal=

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-01T03:51:32.659671Z

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Unavailable: canonical work link unavailable.

Observation 882877b9-5906-412d-8f63-2bd237636d12 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Unresolved cited work

Reference 99

Resolution: verified exact; doi, observed 2026-08-01T03:53:26.805338Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56db09d3-2335-4a13-b824-14e90910ae77 · outbound

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MixQuant: Adaptive Mixed-Precision Quantization for Large Language Models Sensors , volume =

Reference 100

Resolution: verified exact; doi, observed 2026-08-01T03:53:26.536995Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers