A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference | Paper Citation Record

Observation d847339a-93c5-4b84-8548-2c4b57302876 · outbound

This paper cites BinaryBERT: Pushing the Limit of BERT Quantization.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference BinaryBERT: Pushing the Limit of BERT Quantization

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Observation 402c2fb8-c46e-49e5-98d3-787a07be3777 · outbound

This paper cites Racod: algorithm/hardware co-design for mobile robot path planning.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Racod: algorithm/hardware co-design for mobile robot path planning

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Observation 78c13865-e4b4-41b1-a338-df3a467d6fda · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

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Observation 5fd53278-df1a-4c0d-a796-7d0544556ef7 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

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Observation f24425eb-88a8-4245-b349-3ec4a305083d · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

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Observation 3c97f8a5-465f-478d-86b0-258194387a0e · outbound

This paper cites P3-LLM: An Integrated NPU-PIM Accelerator for Edge LLM Inference Using Hybrid Numerical Formats.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference P3-LLM: An Integrated NPU-PIM Accelerator for Edge LLM Inference Using Hybrid Numerical Formats

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Observation 9c3224f0-0782-4969-ac01-1904a27ebaa7 · outbound

This paper cites Xnor neural engine: A hardware accelerator ip for 21.6-fj/op binary neural network inference.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Xnor neural engine: A hardware accelerator ip for 21.6-fj/op binary neural network inference

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Observation 2fec4cf6-8036-4a8f-8ff8-cdab958a7770 · outbound

This paper cites Extreme Compression of Large Language Models via Additive Quantization.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Extreme Compression of Large Language Models via Additive Quantization

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Observation 53ed0936-22ac-4023-b72e-9fc262577958 · outbound

This paper cites Hardware implemen- tation of slam algorithms: a survey on implementation approaches and platforms.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Hardware implemen- tation of slam algorithms: a survey on implementation approaches and platforms

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Observation 2d69e4ad-a34a-4cb6-8b69-c72d5853306b · outbound

This paper cites Foundation models in robotics: Applications, challenges, and the future.The International Journal of Robotics Research, page 02783649241281508, 2023.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Foundation models in robotics: Applications, challenges, and the future.The International Journal of Robotics Research, page 02783649241281508, 2023

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Observation d88db920-6d2f-468d-86a5-98a8cf508c82 · outbound

This paper cites Fpga based hardware accelerator for calculations of the parallel robot inverse kinematics.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Fpga based hardware accelerator for calculations of the parallel robot inverse kinematics

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Observation 32445c27-cf89-4708-a739-ebdaa766bee5 · outbound

This paper cites Eudoxus: Characterizing and accelerating localization in autonomous machines industry track paper.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Eudoxus: Characterizing and accelerating localization in autonomous machines industry track paper

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Observation bba17782-30da-48db-a5e4-caccac5c8563 · outbound

This paper cites Olive: Accelerating large language models via hardware-friendly outlier-victim pair quantization.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Olive: Accelerating large language models via hardware-friendly outlier-victim pair quantization

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Observation df62de3b-5dda-46e5-aab2-80b240b08c69 · outbound

This paper cites Fast matrix multiplications for lookup table-quantized llms.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Fast matrix multiplications for lookup table-quantized llms

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Observation c41de033-74e9-408b-9246-ac2bd01eceb2 · outbound

This paper cites An algorithm-hardware co-design based on revised microscaling format quantization for accelerating large language models.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference An algorithm-hardware co-design based on revised microscaling format quantization for accelerating large language models

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Observation d5f52e7a-a5db-4722-a4b4-295b899ecfdd · outbound

This paper cites Orianna: An accelerator generation framework for optimization-based robotic applications.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Orianna: An accelerator generation framework for optimization-based robotic applications

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Observation d6a7a33f-6f7b-4cf4-87f7-064f2ef9f6f9 · outbound

This paper cites Blitzcrank: Factor graph accelerator for motion planning.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Blitzcrank: Factor graph accelerator for motion planning

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Observation c52dbf01-e141-432a-a21b-ab12549c67fa · outbound

This paper cites Vapr: Variable-precision tensors to accelerate robot motion planning.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Vapr: Variable-precision tensors to accelerate robot motion planning

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Observation e347b51b-fa2a-4859-8f4f-d4f49cd3d3c4 · outbound

This paper cites M2xfp: A metadata- augmented microscaling data format for efficient low-bit quantization.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference M2xfp: A metadata- augmented microscaling data format for efficient low-bit quantization

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Observation 028d95d4-3cce-40ef-b696-6b44540b0e21 · outbound

This paper cites Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis

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Observation eeab9772-bb18-461e-9a30-9a88aacf74b0 · outbound

This paper cites Moped: Efficient mo- tion planning engine with flexible dimension support.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Moped: Efficient mo- tion planning engine with flexible dimension support

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Observation 31253611-08d4-4b20-90b6-bffd531ed3b0 · outbound

This paper cites Dadu-corki: Algorithm-architecture co-design for embodied ai-powered robotic manipulation.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Dadu-corki: Algorithm-architecture co-design for embodied ai-powered robotic manipulation

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Observation b9381cc6-af6d-4d44-8f77-c18a19356ae4 · outbound

This paper cites Biqgemm: matrix multiplication with lookup table for binary-coding-based quantized dnns.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Biqgemm: matrix multiplication with lookup table for binary-coding-based quantized dnns

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Observation 4b7630d7-f5e0-42cc-95a4-c718bd8e7755 · outbound

This paper cites Beta: Binarized energy-efficient transformer accelerator at the edge.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Beta: Binarized energy-efficient transformer accelerator at the edge

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Observation 688cd637-87ba-4247-98f5-9e48f584304a · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

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Observation 4d62cb03-bf2b-4003-ad10-86721d449273 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference OpenVLA: An Open-Source Vision-Language-Action Model

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Observation 0cd73134-fce7-45e8-bfde-549c4eba9a5a · outbound

This paper cites Ramulator: A fast and extensible dram simulator.IEEE Computer architecture letters, 15(1):45–49, 2015.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Ramulator: A fast and extensible dram simulator.IEEE Computer architecture letters, 15(1):45–49, 2015

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Observation ee00fb1e-d82c-4f39-8779-15b98efb3666 · outbound

This paper cites Automatic domain-specific soc design for autonomous unmanned aerial vehicles.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Automatic domain-specific soc design for autonomous unmanned aerial vehicles

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Observation 8080b74b-239c-4dc1-9bf4-4ec42abe792e · outbound

This paper cites Owq: Outlier-aware weight quantization for efficient fine-tuning and inference of large language models.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Owq: Outlier-aware weight quantization for efficient fine-tuning and inference of large language models

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Observation 03c9bed3-b5fc-455b-9b1b-c5ac7f274fa7 · outbound

This paper cites Mx+: Pushing the limits of microscaling formats for efficient large language model serving.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Mx+: Pushing the limits of microscaling formats for efficient large language model serving

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Observation e1276c72-8fdb-4c60-bd78-39c6a094ba17 · outbound

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A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Spade: Sparse pillar-based 3d object detection accelerator for autonomous driving

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Observation a0e7f26a-9ba9-4b74-bbd8-f941b7ad70b6 · outbound

This paper cites Lut-dla: Lookup table as efficient extreme low-bit deep learning accelerator.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Lut-dla: Lookup table as efficient extreme low-bit deep learning accelerator

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Observation c5fb9ad4-a1da-4803-aea9-f43f45530565 · outbound

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A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Vision-Language Foundation Models as Effective Robot Imitators

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Observation 16a2573e-5d68-4dca-95fe-5bd2bb6624f1 · outbound

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A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Dadu-p: A scalable accelerator for robot motion planning in a dynamic environment

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A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Dadu: Accelerating inverse kinematics for high-dof robots

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Observation 9871de23-205d-4c1f-8fd2-a3f16b86eb21 · outbound

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A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Libero: Benchmarking knowledge transfer for lifelong robot learning

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Observation 353553f0-f406-4944-89c7-12fdf04e3774 · outbound

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A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference eslam: An energy- efficient accelerator for real-time orb-slam on fpga platform

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Observation dbbe92e1-800c-4821-8ad2-31db5ffc242d · outbound

This paper cites RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

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This paper cites Archytas: A framework for synthesizing and dynamically optimiz- ing accelerators for robotic localization.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Archytas: A framework for synthesizing and dynamically optimiz- ing accelerators for robotic localization

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Observation 49b7f4e2-b02b-4dfb-b9f4-c6ee1d0111f3 · outbound

This paper cites Mobilesp: An fpga-based real-time keypoint extraction hardware accelerator for mobile vslam.IEEE transactions on circuits and systems I: regular papers, 69(12):4919–4929, 2022.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Mobilesp: An fpga-based real-time keypoint extraction hardware accelerator for mobile vslam.IEEE transactions on circuits and systems I: regular papers, 69(12):4919–4929, 2022

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Observation a98edad2-02b4-4ed7-8b36-fb8c426cbf8a · outbound

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A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Vq-llm: High-performance code generation for vector quantization augmented llm inference

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A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Energy-efficient machine learning accelerator for binary neural networks

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Observation 66d66dca-d70c-4522-9f77-c03048785bc4 · outbound

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A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference A pro- grammable architecture for robot motion planning acceleration

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Observation 9b116ebf-e964-4b02-9157-5263aa1952cd · outbound

This paper cites The microarchitecture of a real-time robot motion planning accelerator.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference The microarchitecture of a real-time robot motion planning accelerator

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Observation e19dac09-19e9-4fab-ab89-9db16a767582 · outbound

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A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Roboshape: Using topology patterns to scalably and flexibly deploy accelerators across robots

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A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Fine-grained dram: Energy- efficient dram for extreme bandwidth systems

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Observation 82c85908-c833-492a-898a-9c753e170130 · outbound

This paper cites Codegemm: A codebook-centric approach to efficient gemm in quantized llms.Advances in Neural Information Processing Systems, 38:34603–34623, 2026.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Codegemm: A codebook-centric approach to efficient gemm in quantized llms.Advances in Neural Information Processing Systems, 38:34603–34623, 2026

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Observation d022e10c-ac93-4a7c-bea4-038db1774c36 · outbound

This paper cites Codegemm: A codebook-centric approach to efficient gemm in quantized llms.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Codegemm: A codebook-centric approach to efficient gemm in quantized llms

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Observation ef0d437c-1dee-420f-a46c-0a90bfb2051b · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.Advances in neural information processing systems, 32, 2019.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Pytorch: An imperative style, high-performance deep learning library.Advances in neural information processing systems, 32, 2019

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Observation c5a04696-30b4-411b-b2f8-61ea4139747a · outbound

This paper cites Microscopiq: Accel- erating foundational models through outlier-aware microscaling quantization.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Microscopiq: Accel- erating foundational models through outlier-aware microscaling quantization

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Observation 9c477877-7600-4b3b-ac21-4fbdd983a1e8 · outbound

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A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Robox: an end-to-end solution to accelerate autonomous control in robotics

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Observation 9081392d-f06c-4a83-82df-34e131529f7e · outbound

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A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference SCALE-Sim: Systolic CNN Accelerator Simulator

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A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Towards hardware accelerated reinforcement learning for application-specific robotic control

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Observation 92997e95-e426-48cd-ae42-69f6f2080321 · outbound

This paper cites A unified accelerator design for lidar slam algorithms for low-end fpgas.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference A unified accelerator design for lidar slam algorithms for low-end fpgas

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Observation bb99d64c-7cd9-4181-9ab4-477aae8a0e4e · outbound

This paper cites A universal lidar slam accelerator system on low-cost fpga.IEEE Access, 10:26931–26947, 2022.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference A universal lidar slam accelerator system on low-cost fpga.IEEE Access, 10:26931–26947, 2022

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Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.334490Z

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Observation b4c1c66f-e7c7-4874-94bf-aa1f917b4d8d · outbound

This paper cites an unresolved cited work.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.336818Z

Source-reported events for the cited work

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Observation 15217b44-bb9b-4cdc-a88f-f7eb7dac3377 · outbound

This paper cites ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI

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Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.339049Z

Source-reported events for the cited work

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Observation 829af20d-2a27-471e-a618-badf62ddb760 · outbound

This paper cites QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

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Observation ae606c36-2916-41b6-9b3e-687d0f2cce2c · outbound

This paper cites GPTVQ: The Blessing of Dimensionality for LLM Quantization.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference GPTVQ: The Blessing of Dimensionality for LLM Quantization

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Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.344122Z

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Observation c0b7aa9a-f2e5-4b3a-bb04-d88f0cfc34d9 · outbound

This paper cites Scaling the power wall: a path to exascale.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Scaling the power wall: a path to exascale

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Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.346621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0323ab6e-5a95-4a47-8bd1-949dc0aaccb4 · outbound

This paper cites Gpt-4v (ision) for robotics: Multimodal task planning from human demonstration.IEEE Robotics and Automation Letters, 2024.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Gpt-4v (ision) for robotics: Multimodal task planning from human demonstration.IEEE Robotics and Automation Letters, 2024

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Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.348797Z

Source-reported events for the cited work

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Observation af9da121-f5da-4c27-a5dd-1c40bd21682f · outbound

This paper cites Vlatest: Testing and evaluating vision-language-action models for robotic manipulation.Proceedings of the ACM on Software Engineering, 2(FSE):1615–1638, 2025.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Vlatest: Testing and evaluating vision-language-action models for robotic manipulation.Proceedings of the ACM on Software Engineering, 2(FSE):1615–1638, 2025

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Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.351074Z

Source-reported events for the cited work

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Observation 3fa714f3-73f7-456f-9645-8ab8d3eab9f7 · outbound

This paper cites Oltron: Algorithm-hardware co-design for outlier-aware quantization of llms with inter-/intra-layer adaptation.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Oltron: Algorithm-hardware co-design for outlier-aware quantization of llms with inter-/intra-layer adaptation

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Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.353246Z

Source-reported events for the cited work

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Observation 2c8b413c-245b-46f2-9381-916542cdbddd · outbound

This paper cites Dadu-rbd: Robot rigid body dynam- ics accelerator with multifunctional pipelines.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Dadu-rbd: Robot rigid body dynam- ics accelerator with multifunctional pipelines

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Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.355457Z

Source-reported events for the cited work

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Observation 01ad4351-512f-46ba-a698-ad5c01550b40 · outbound

This paper cites Shiftaddllm: Accel- erating pretrained llms via post-training multiplication-less reparameterization.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Shiftaddllm: Accel- erating pretrained llms via post-training multiplication-less reparameterization

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Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.357676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cb7202a-9caf-4a8d-b550-ef96a42da0c9 · outbound

This paper cites Building the computing system for autonomous micromobility vehicles: Design constraints and architectural optimizations.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Building the computing system for autonomous micromobility vehicles: Design constraints and architectural optimizations

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Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.359808Z

Source-reported events for the cited work

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Observation b66fcec3-dd60-4830-8215-5226f6ceeef0 · outbound

This paper cites Pqcache: Product quantization-based kvcache for long context llm inference.Proceedings of the ACM on Management of Data, 3(3):1–30, 2025.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Pqcache: Product quantization-based kvcache for long context llm inference.Proceedings of the ACM on Management of Data, 3(3):1–30, 2025

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Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.362156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fec21808-ec41-480b-9899-5283790e5a65 · outbound

This paper cites Loam: Lidar odometry and mapping in real-time.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Loam: Lidar odometry and mapping in real-time

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Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.364487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6304360a-4036-4fcd-bcd1-e5012d0b1c55 · outbound

This paper cites Exploiting intra-sm parallelism in gpus via persistent and elastic blocks.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Exploiting intra-sm parallelism in gpus via persistent and elastic blocks

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Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.366723Z

Source-reported events for the cited work

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Observation fde251f1-6b09-4fad-962e-6b604becf5cd · outbound

This paper cites Binary weight multi-bit activation quantization for compute-in-memory cnn accelerators.IEEE Transac- tions on Computer-Aided Design of Integrated Circuits and Systems, 2025.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Binary weight multi-bit activation quantization for compute-in-memory cnn accelerators.IEEE Transac- tions on Computer-Aided Design of Integrated Circuits and Systems, 2025

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Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.368912Z

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