Learned Step Size Quantization | Paper Citation Record

Observation 31971a76-fc2c-4c49-9eb1-4b2ec9453ef5 · inbound

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale cites this paper.

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale Learned Step Size Quantization

Reference 131

Resolution: verified exact; arxiv_id, observed 2026-05-13T13:35:36.073220Z

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Observation 44c1c523-db5d-4199-9746-6dce1c83ad7c · inbound

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration cites this paper.

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration Learned Step Size Quantization

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-24T08:29:11.362464Z

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Observation 1680614d-ac59-48fc-ab79-bc3cefb9a1c6 · inbound

Reclaiming Residual Knowledge: A Novel Paradigm to Low-Bit Quantization cites this paper.

Reclaiming Residual Knowledge: A Novel Paradigm to Low-Bit Quantization Learned Step Size Quantization

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T22:28:31.067884Z

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Observation b0513012-b79a-406c-a485-5313f3fd0288 · inbound

EfQAT: An Efficient Framework for Quantization-Aware Training cites this paper.

EfQAT: An Efficient Framework for Quantization-Aware Training Learned Step Size Quantization

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-12T19:06:18.363058Z

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Observation 92400972-e2aa-432c-b237-996911293793 · inbound

GAQAT: gradient-adaptive quantization-aware training for domain generalization cites this paper.

GAQAT: gradient-adaptive quantization-aware training for domain generalization Learned Step Size Quantization

Reference 2019

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Observation 86b8ce24-5af9-40ee-8db0-e660e2096899 · inbound

Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection cites this paper.

Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection Learned Step Size Quantization

Reference 14

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Observation 1dbb6216-c17f-4eaf-9139-c60181dfa2ce · inbound

TTAQ: Towards Stable Post-training Quantization in Continuous Domain Adaptation cites this paper.

TTAQ: Towards Stable Post-training Quantization in Continuous Domain Adaptation Learned Step Size Quantization

Reference 2020

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Observation 55aca96a-60ec-44dc-a677-63207520b89b · inbound

MVQ:Towards Efficient DNN Compression and Acceleration with Masked Vector Quantization cites this paper.

MVQ:Towards Efficient DNN Compression and Acceleration with Masked Vector Quantization Learned Step Size Quantization

Reference 5

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Observation 32fff98c-075d-4295-bd7d-e2aeca25d960 · inbound

MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models cites this paper.

MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models Learned Step Size Quantization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:03.380906Z

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Observation 91973c6e-f009-40c6-b8d4-803ad8984b42 · inbound

Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation cites this paper.

Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation Learned Step Size Quantization

Reference 16

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Observation 610122ef-155f-4923-9af8-8ad862fd1f8c · inbound

1.58-bit FLUX cites this paper.

1.58-bit FLUX Learned Step Size Quantization

Reference 15

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Observation 69d0c0a8-83e2-4a9a-868c-ea4ffa0c8a36 · inbound

PTQ4VM: Post-Training Quantization for Visual Mamba cites this paper.

PTQ4VM: Post-Training Quantization for Visual Mamba Learned Step Size Quantization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T23:26:35.230306Z

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Observation 9bcd83e9-39a9-4969-82a7-f04886d171f4 · inbound

Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance Segmentation cites this paper.

Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance Segmentation Learned Step Size Quantization

Reference 13

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Observation f930ae56-96c9-4bba-8eef-16970f6f73cd · inbound

DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models cites this paper.

DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models Learned Step Size Quantization

Reference 2024

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Observation e5bfff5c-d975-4cc5-b53c-322e4be84717 · inbound

JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration cites this paper.

JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration Learned Step Size Quantization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:17:40.757068Z

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Observation 21c22704-f137-44fe-b2ef-8fccf4744441 · inbound

Hybrid Photonic-digital Accelerator for Attention Mechanism cites this paper.

Hybrid Photonic-digital Accelerator for Attention Mechanism Learned Step Size Quantization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:24.511926Z

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Observation 53e7adea-934e-45a3-9350-eb09fae0bc33 · inbound

Nearly Lossless Adaptive Bit Switching cites this paper.

Nearly Lossless Adaptive Bit Switching Learned Step Size Quantization

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T16:22:12.514507Z

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Observation d4f1fefe-c81d-44d3-84d5-d63e70f665ba · inbound

Efficient Diffusion Models: A Survey cites this paper.

Efficient Diffusion Models: A Survey Learned Step Size Quantization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T16:13:35.860096Z

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Observation a684b590-357e-4f2b-823d-84224357e7ff · inbound

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits cites this paper.

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits Learned Step Size Quantization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T10:26:45.429133Z

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Observation 6b9dac8b-19f0-4c22-9bbe-e23ddb94b25c · inbound

AHCQ-SAM: Toward Accurate and Hardware-Compatible Post-Training Segment Anything Model Quantization cites this paper.

AHCQ-SAM: Toward Accurate and Hardware-Compatible Post-Training Segment Anything Model Quantization Learned Step Size Quantization

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T01:52:23.036648Z

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Observation 945fb518-1ac8-4c20-b855-4bbbe0540d1c · inbound

Gradual Binary Search and Dimension Expansion : A general method for activation quantization in LLMs cites this paper.

Gradual Binary Search and Dimension Expansion : A general method for activation quantization in LLMs Learned Step Size Quantization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:57.904252Z

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Observation 2e306230-213c-4a50-a579-048e0c537673 · inbound

Precision Neural Network Quantization via Learnable Adaptive Modules cites this paper.

Precision Neural Network Quantization via Learnable Adaptive Modules Learned Step Size Quantization

Reference 6

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Observation b42b5c23-55db-449e-8eb9-4bd126922165 · inbound

Pack-PTQ: Advancing Post-training Quantization of Neural Networks by Pack-wise Reconstruction cites this paper.

Pack-PTQ: Advancing Post-training Quantization of Neural Networks by Pack-wise Reconstruction Learned Step Size Quantization

Reference 20

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Observation 491d907c-098e-48b1-ac26-32ef3eb75521 · inbound

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization cites this paper.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization Learned Step Size Quantization

Reference 2023

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Observation 6f016767-6db1-44a6-b060-7655cb905541 · inbound

Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning cites this paper.

Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning Learned Step Size Quantization

Reference 2020

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Observation 477f2c49-b101-4fb8-9df8-13b954aa17c9 · inbound

Diffusion Model Quantization: A Review cites this paper.

Diffusion Model Quantization: A Review Learned Step Size Quantization

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T23:13:35.657597Z

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Observation 39e43c9c-7f1a-448c-8ae6-bde3be19a16c · inbound

Scaling Law for Quantization-Aware Training cites this paper.

Scaling Law for Quantization-Aware Training Learned Step Size Quantization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:41:06.036806Z

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Observation 236c17b8-9918-47c9-aa7d-3e09aa1d7f80 · inbound

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference cites this paper.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Learned Step Size Quantization

Reference 1

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Observation 96c378ab-2551-4677-8817-b454a008e5d2 · inbound

Is Quantum Optimization Ready? An Effort Towards Neural Network Compression using Adiabatic Quantum Computing cites this paper.

Is Quantum Optimization Ready? An Effort Towards Neural Network Compression using Adiabatic Quantum Computing Learned Step Size Quantization

Reference 7

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Observation 71d6a732-72b7-470d-b92c-21e7eb3600e3 · inbound

Frequency Composition for Compressed and Domain-Adaptive Neural Networks cites this paper.

Frequency Composition for Compressed and Domain-Adaptive Neural Networks Learned Step Size Quantization

Reference 10

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Observation c3481ddd-bf17-490d-863f-34eecde84714 · inbound

Flexible Mixed Precision Quantization for Learned Image Compression cites this paper.

Flexible Mixed Precision Quantization for Learned Image Compression Learned Step Size Quantization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:52:58.474593Z

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Observation 40d849c3-31e1-42ab-8cce-2d293def07e2 · inbound

Structured Pruning and Quantization for Learned Image Compression cites this paper.

Structured Pruning and Quantization for Learned Image Compression Learned Step Size Quantization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T11:51:38.003222Z

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Observation 9768d41f-423b-434f-94b1-129a3380f40e · inbound

Unified Scaling Laws for Compressed Representations cites this paper.

Unified Scaling Laws for Compressed Representations Learned Step Size Quantization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:52.179507Z

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Observation 7c51df52-81ac-42bb-a7a1-992de9239ea5 · inbound

ScalableHD: Scalable and High-Throughput Hyperdimensional Computing Inference on Multi-Core CPUs cites this paper.

ScalableHD: Scalable and High-Throughput Hyperdimensional Computing Inference on Multi-Core CPUs Learned Step Size Quantization

Reference 53

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Observation 07d7a2a6-20c0-47b9-939c-faf30ae1bf2e · inbound

TruncQuant: Truncation-Ready Quantization for DNNs with Flexible Weight Bit Precision cites this paper.

TruncQuant: Truncation-Ready Quantization for DNNs with Flexible Weight Bit Precision Learned Step Size Quantization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:18:09.205283Z

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Observation 290b2395-8c77-4bbb-b477-f9a3d3714391 · inbound

GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers cites this paper.

GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers Learned Step Size Quantization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:24.991159Z

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Observation 8307382a-9527-4d6a-bbfc-f6b9999c0c6f · inbound

Compression Aware Certified Training cites this paper.

Compression Aware Certified Training Learned Step Size Quantization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:47.498768Z

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Observation dccd5cfe-54e6-427a-9325-b1addcea781f · inbound

PQCAD-DM: Progressive Quantization and Calibration-Assisted Distillation for Extremely Efficient Diffusion Model cites this paper.

PQCAD-DM: Progressive Quantization and Calibration-Assisted Distillation for Extremely Efficient Diffusion Model Learned Step Size Quantization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:35.252934Z

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Observation 1764b4e4-73de-4d2d-9015-b1c14d93593c · inbound

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation cites this paper.

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation Learned Step Size Quantization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:57:19.426181Z

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Observation b4ac89f9-5cec-46f8-8778-f0398913346f · inbound

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models cites this paper.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Learned Step Size Quantization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.315395Z

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Observation 8b6f505e-be6e-4521-be51-583d6161aa85 · inbound

Post-Training Quantization of Generative and Discriminative LSTM Text Classifiers: A Study of Calibration, Class Balance, and Robustness cites this paper.

Post-Training Quantization of Generative and Discriminative LSTM Text Classifiers: A Study of Calibration, Class Balance, and Robustness Learned Step Size Quantization

Reference 7

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Observation cbfc8fdb-1a46-43e1-b2ad-11d343256647 · inbound

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization cites this paper.

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization Learned Step Size Quantization

Reference 12

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Observation a237aaf0-7e3c-4e3e-b092-3296471d6481 · inbound

DFQ-ViT: Data-Free Quantization for Vision Transformers without Fine-tuning cites this paper.

DFQ-ViT: Data-Free Quantization for Vision Transformers without Fine-tuning Learned Step Size Quantization

Reference 10

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Observation dd440759-04de-4927-a98b-eb4bca742f94 · inbound

Task-Specific Zero-shot Quantization-Aware Training for Object Detection cites this paper.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Learned Step Size Quantization

Reference 15

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Observation 4a647b1d-9898-4422-b763-fdba6849a14c · inbound

MSQ: Memory-Efficient Bit Sparsification Quantization cites this paper.

MSQ: Memory-Efficient Bit Sparsification Quantization Learned Step Size Quantization

Reference 7

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Observation 41d0a812-6b18-4e6d-aa92-aa55a80c09a6 · inbound

Progressive Element-wise Gradient Estimation for Neural Network Quantization cites this paper.

Progressive Element-wise Gradient Estimation for Neural Network Quantization Learned Step Size Quantization

Reference 4

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Observation 126dd45d-9b93-4862-a571-8cf62f5229ee · inbound

Quantization Meets OOD: Generalizable Quantization-aware Training from a Flatness Perspective cites this paper.

Quantization Meets OOD: Generalizable Quantization-aware Training from a Flatness Perspective Learned Step Size Quantization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T13:12:23.842748Z

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Observation f612e707-561c-4ce3-94d2-17ee752e2e2e · inbound

TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization cites this paper.

TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization Learned Step Size Quantization

Reference 2020

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Observation cd70e39b-ba15-4377-b2c1-3dc24d5e704e · inbound

DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling cites this paper.

DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling Learned Step Size Quantization

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:11:46.648023Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b2ee982-5da9-4f62-a49b-3e11bbd87699 · inbound

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception cites this paper.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception Learned Step Size Quantization

Reference 2023

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Observation 348c33c4-a20e-4b31-83a6-7b258dba99a9 · inbound

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization cites this paper.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Learned Step Size Quantization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.841583Z

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Observation 998955bc-b234-451d-960a-ae836362f91a · inbound

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training cites this paper.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Learned Step Size Quantization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T08:50:45.221727Z

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Observation dea28714-5f1f-4ccc-b9e7-446ab3ec1a20 · inbound

BWTA: Accurate and Efficient Binarized Transformer by Algorithm-Hardware Co-design cites this paper.

BWTA: Accurate and Efficient Binarized Transformer by Algorithm-Hardware Co-design Learned Step Size Quantization

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T17:28:02.202298Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0153782f-2b55-49d7-902f-5212e6ee5eec · inbound

Prune-Quantize-Distill: An Ordered Pipeline for Efficient Neural Network Compression cites this paper.

Prune-Quantize-Distill: An Ordered Pipeline for Efficient Neural Network Compression Learned Step Size Quantization

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T17:08:01.005812Z

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Observation c81116b7-85bc-4a43-a97a-565e43699293 · inbound

Streaming Chain cites this paper.

Streaming Chain Learned Step Size Quantization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T10:56:59.609600Z

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Observation 42685933-42af-4882-96c2-39ca4de5a61d · inbound

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling cites this paper.

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling Learned Step Size Quantization

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:36:02.318550Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c6a48177-ecae-451d-a973-15c12e2ede31 · inbound

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling cites this paper.

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling Learned Step Size Quantization

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T18:02:42.262146Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b6e4dcc6-8777-4049-a388-7ac1ff043371 · inbound

Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities cites this paper.

Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities Learned Step Size Quantization

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:16:10.524889Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 67e0fdd0-457d-4a87-b0d2-48b67d6c06ad · inbound

Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay cites this paper.

Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay Learned Step Size Quantization

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:56:07.915496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 32018b6c-027a-49b0-ab6f-4a5177c8507a · inbound

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization cites this paper.

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization Learned Step Size Quantization

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:30:44.070205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation df43dc13-4ab7-4605-a063-e0f1984e1f4c · inbound

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization cites this paper.

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization Learned Step Size Quantization

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:01:18.227436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5d7ecf12-a9f5-44a5-915a-50a6b3a33633 · inbound

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale cites this paper.

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale Learned Step Size Quantization

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:06:28.066914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a7bdc49f-cfb2-44af-aec9-66cc197757f5 · inbound

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale cites this paper.

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale Learned Step Size Quantization

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T04:59:46.115251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9157aa84-cdcf-4559-af53-99d65bf9047c · inbound

Nonlinear Bipolar Compensation: Handling Outliers in Post-Training Quantization cites this paper.

Nonlinear Bipolar Compensation: Handling Outliers in Post-Training Quantization Learned Step Size Quantization

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:59:01.912985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68dcdfb4-530a-43d8-b48e-cb0f73ed7839 · inbound

CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model cites this paper.

CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model Learned Step Size Quantization

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T21:32:47.912829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 03739a84-7a2e-490c-b52f-6047627a4e30 · inbound

When Bits Break Recourse: Counterfactual-Faithful Quantization cites this paper.

When Bits Break Recourse: Counterfactual-Faithful Quantization Learned Step Size Quantization

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:43:22.026533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bb2c1927-2b61-430c-9cb5-1118c699bc1b · inbound

When Bits Break Recourse: Counterfactual-Faithful Quantization cites this paper.

When Bits Break Recourse: Counterfactual-Faithful Quantization Learned Step Size Quantization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T02:20:53.370884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6362ee4d-a4c7-4c58-a066-077ef16e8c3c · inbound

When Bits Break Recourse: Counterfactual-Faithful Quantization cites this paper.

When Bits Break Recourse: Counterfactual-Faithful Quantization Learned Step Size Quantization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T05:08:29.585923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbee18d4-50ba-4103-baef-d2f39146fd17 · inbound

Llamas on the Web: Memory-Efficient, Performance-Portable, and Multi-Precision LLM Inference with WebGPU cites this paper.

Llamas on the Web: Memory-Efficient, Performance-Portable, and Multi-Precision LLM Inference with WebGPU Learned Step Size Quantization

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T02:53:55.320139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a2c54c39-4a01-4aaa-adfb-858f6b5abfa7 · inbound

Motion-Compensated Weight Compression cites this paper.

Motion-Compensated Weight Compression Learned Step Size Quantization

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:04:40.387726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 80f51098-826e-4b32-9554-39700d4458cd · inbound

Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation cites this paper.

Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation Learned Step Size Quantization

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:16:16.072130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b99cdcb8-ee70-4299-84cb-3efeb6362a89 · inbound

Neural Network Quantization by Learning Low-Loss Subspaces cites this paper.

Neural Network Quantization by Learning Low-Loss Subspaces Learned Step Size Quantization

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:59:58.458592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 039dfd3a-41b3-40b8-862e-476ed7c348e9 · inbound

Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks cites this paper.

Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks Learned Step Size Quantization

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-29T05:13:06.464635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5af4991f-3a88-4d89-92cd-e4d247ad68a1 · inbound

Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative Models cites this paper.

Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative Models Learned Step Size Quantization

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:05:37.356845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 309faec2-c6d1-4dcb-ab1b-a5cd1144c729 · inbound

Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative Models cites this paper.

Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative Models Learned Step Size Quantization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:34.334377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f58b4862-c954-487e-bd95-a35a52059fd7 · inbound

Quantize with Confidence? An Empirical Study of Quantization for Code Generation cites this paper.

Quantize with Confidence? An Empirical Study of Quantization for Code Generation Learned Step Size Quantization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T03:32:51.696835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cf1a8e3-2252-4309-8c31-797433b000cb · inbound

Local Stability and Gaussian Smoothing of Quantized Neural Networks cites this paper.

Local Stability and Gaussian Smoothing of Quantized Neural Networks Learned Step Size Quantization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T10:41:37.432929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a211fb2b-3085-45b4-8bf1-583eef5a886f · inbound

Opt.Gear Technical Report cites this paper.

Opt.Gear Technical Report Learned Step Size Quantization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:38.734813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ecdeb7f-7892-40fa-8731-7914f2bfd5cc · inbound

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features cites this paper.

SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features Learned Step Size Quantization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:03.928368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers