Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control | Paper Citation Record

Observation 2a1df0e9-2f3f-4e60-8e20-cffb3057cc35 · outbound

This paper cites Post train- ing 4-bit quantization of convolutional networks for rapid- deployment.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Post train- ing 4-bit quantization of convolutional networks for rapid- deployment

Reference 1

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Observation 7072238f-6a30-4021-9732-951facc58eba · outbound

This paper cites π0: A vision-language- action flow model for general robot control.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control π0: A vision-language- action flow model for general robot control

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:56.893576Z

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Observation 528637d8-e137-452f-ad44-bcfb64d007e1 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control RT-1: Robotics Transformer for Real-World Control at Scale

Reference 3

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Observation 85e31520-029f-4986-b24f-8cf1a304927a · outbound

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

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 4

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Observation f8cb1902-1e9f-4865-8653-aea9d325ff3f · outbound

This paper cites {TVM}: An automated {End- to-End} optimizing compiler for deep learning.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control {TVM}: An automated {End- to-End} optimizing compiler for deep learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:56.719208Z

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Observation 13e9bad8-b01b-4bed-8dae-c177d0311841 · outbound

This paper cites PACT: Parameterized Clipping Activation for Quantized Neural Networks.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control PACT: Parameterized Clipping Activation for Quantized Neural Networks

Reference 6

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Observation c484c973-0df3-4457-b89c-97767bdb801e · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Xception: Deep learning with depthwise separable convolutions

Reference 7

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Observation 3ff8eb9c-fbdb-447c-ae36-fda3cd61a747 · outbound

This paper cites Exploring the limitations of behavior cloning for autonomous driving.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Exploring the limitations of behavior cloning for autonomous driving

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:56.363291Z

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Observation 9b95704c-67d1-4520-b534-fa1f56d6fcf9 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Qlora: Efficient finetuning of quantized llms

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:56.140044Z

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Observation 8c93484f-3cd1-473c-9f78-db0314834780 · outbound

This paper cites Carla: An open urban driv- ing simulator.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Carla: An open urban driv- ing simulator

Reference 10

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Observation d29c8608-6875-4c1e-bd09-9ca9f4327eb7 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control PaLM-E: An Embodied Multimodal Language Model

Reference 11

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Observation c8d62afe-e017-496f-9ad7-a8300c008edc · outbound

This paper cites Learned step size quantization.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Learned step size quantization

Reference 12

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Observation 68421177-b7fc-47cc-a6ad-2ba329b57d58 · outbound

This paper cites QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

Reference 13

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Observation d941d3c9-9cb3-4b48-9cf4-9f2872c8c8da · outbound

This paper cites Quarl: Quantization for fast and environ- mentally sustainable reinforcement learning.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Quarl: Quantization for fast and environ- mentally sustainable reinforcement learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:55.817408Z

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Observation e2e18529-8cbe-42e1-84fe-a09591e1aa0f · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 15

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Observation 79e3be54-6bbd-4e29-9021-db6aa484538b · outbound

This paper cites OPTQ: Accurate quantization for generative pre- trained transformers.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control OPTQ: Accurate quantization for generative pre- trained transformers

Reference 16

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Observation 6467a289-f3d7-4a31-9df9-b1fcef50bfe5 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 17

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Observation d71d14ee-7c02-46f7-bcf2-f5e99b295ba4 · outbound

This paper cites Visualizing and understanding atari agents.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Visualizing and understanding atari agents

Reference 18

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Observation a744ba7b-fbda-4b64-a43f-d1bbdfdbd49e · outbound

This paper cites Apple in- telligence foundation language models.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Apple in- telligence foundation language models

Reference 19

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Observation 1cb0dea1-60ec-49e3-9fa1-9175ad003998 · outbound

This paper cites Deep residual learning for image recognition.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Deep residual learning for image recognition

Reference 20

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Observation 1aaa00d2-b22e-446b-94e5-773e14b95432 · outbound

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

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control 1.1 computing’s energy problem (and what we can do about it)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:55.222813Z

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Observation de9775d0-ea2c-485b-9c4b-948edcd66a27 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control LoRA: Low-Rank Adaptation of Large Language Models

Reference 22

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Observation 229cf082-9c1b-44c7-99b8-8b42cbf5a562 · outbound

This paper cites Fixed-point feedfor- ward deep neural network design using weights +1, 0, and -1.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Fixed-point feedfor- ward deep neural network design using weights +1, 0, and -1

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:55.004778Z

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Observation 046817d5-e50e-44c3-897f-ac37ad670265 · outbound

This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Quantization and training of neural networks for efficient integer-arithmetic-only inference

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:54.812709Z

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Observation 35c55f88-98d8-4336-81fd-0979efdb47d0 · outbound

This paper cites A Study of BFLOAT16 for Deep Learning Training.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control A Study of BFLOAT16 for Deep Learning Training

Reference 25

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Observation f6a8f5bb-c535-470c-81d7-8bcfdb533326 · outbound

This paper cites Scaling Laws for Neural Language Models.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Scaling Laws for Neural Language Models

Reference 26

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Observation eac87eee-46f4-41c6-a4d7-728fe5b40334 · outbound

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

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control OpenVLA: An Open-Source Vision-Language-Action Model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:43.584317Z

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Observation bea669d0-1423-4040-891f-d6a8cb349ac2 · outbound

This paper cites Kisa: A unified keyframe identifier and skill annotator for long-horizon robotics demonstrations.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Kisa: A unified keyframe identifier and skill annotator for long-horizon robotics demonstrations

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:54.608580Z

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Observation 508bb649-1fdc-414b-9ce8-b37455fb77f4 · outbound

This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:43.664448Z

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Observation 3701830a-85fb-4d06-b2c6-e81cf8d55fae · outbound

This paper cites Stabilizing off-policy q-learning via boot- strapping error reduction.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Stabilizing off-policy q-learning via boot- strapping error reduction

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:54.391932Z

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Observation 7f83503a-568e-4fe1-ae95-0c3e5cd7e0c1 · outbound

This paper cites BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:43.918119Z

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Observation 8d7d5870-8742-4079-8880-eecdc479c54f · outbound

This paper cites LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 32

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Observation 50c2fded-ae41-4339-b927-cd67c103fac0 · outbound

This paper cites Cirl: Controllable imitative reinforcement learning for vision-based self-driving.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Cirl: Controllable imitative reinforcement learning for vision-based self-driving

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:54.105879Z

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Observation 8c8da681-13e4-40a4-837c-0afd744cfaca · outbound

This paper cites Awq: Activation-aware weight quan- tization for llm compression and acceleration.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Awq: Activation-aware weight quan- tization for llm compression and acceleration

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:53.898098Z

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Observation 575d87cd-ece9-46b5-a5af-74a7cb98b205 · outbound

This paper cites Libero: Benchmarking knowl- edge transfer for lifelong robot learning.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Libero: Benchmarking knowl- edge transfer for lifelong robot learning

Reference 35

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This paper cites Nvidia tensor core pro- grammability, performance & precision.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Nvidia tensor core pro- grammability, performance & precision

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:53.452177Z

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This paper cites Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing

Reference 37

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Observation c93b2a8c-c258-4c37-8193-8972dc8a232b · outbound

This paper cites Up or down? adap- tive rounding for post-training quantization.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Up or down? adap- tive rounding for post-training quantization

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:53.199021Z

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Observation adc0483e-0c69-4cd8-ad32-89bc28581785 · outbound

This paper cites Ni and The ncnn contributors.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Ni and The ncnn contributors

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:52.983665Z

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Observation 292bfb9a-281b-4e84-910e-1a329d4b75f7 · outbound

This paper cites Nvidia tegrastats toolkit.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Nvidia tegrastats toolkit

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:52.754171Z

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Observation 8d4d6494-4b09-40f1-aeef-8a41dbd7e723 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control DINOv2: Learning Robust Visual Features without Supervision

Reference 41

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This paper cites An algorithmic perspective on imitation learning.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control An algorithmic perspective on imitation learning

Reference 42

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Observation a01432b4-d4de-4e3a-b2b1-0cfd3535e97c · outbound

This paper cites Pruning with scaled policy constraints for light- weight reinforcement learning.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Pruning with scaled policy constraints for light- weight reinforcement learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:52.283790Z

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Observation 3a93d326-c6fa-4238-bf46-0bbbbc5b9ffb · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 44

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Observation d3b2f32b-f402-4e98-b56d-666f02586a57 · outbound

This paper cites Algorithm-hardware co-design of adaptive floating-point encodings for resilient deep learning infer- ence.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Algorithm-hardware co-design of adaptive floating-point encodings for resilient deep learning infer- ence

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:52.034107Z

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Observation f29855f9-5e6b-47a6-a869-b01169c27d81 · outbound

This paper cites DeepMind Control Suite.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control DeepMind Control Suite

Reference 46

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Observation f16256d7-a622-4e03-b705-59dd62a90d7b · outbound

This paper cites Carla autonomous driving leaderboard.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Carla autonomous driving leaderboard

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:51.844281Z

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Observation 78429ad3-be2b-4ac0-bf98-ccaccd803140 · outbound

This paper cites MLC-LLM, 2023.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control MLC-LLM, 2023

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:51.659292Z

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Observation b4bad106-f5bd-4990-8bea-64e586f936c4 · outbound

This paper cites Mujoco: A physics engine for model-based control.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Mujoco: A physics engine for model-based control

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:51.429762Z

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Observation 1b8646d0-5f0a-49e7-88dc-6f521d78750c · outbound

This paper cites Llama 2: Open foundation and fine- tuned chat models, 2023.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Llama 2: Open foundation and fine- tuned chat models, 2023

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:51.227998Z

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This paper cites Bridgedata v2: A dataset for robot learning at scale.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Bridgedata v2: A dataset for robot learning at scale

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:50.989592Z

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Observation cd310cb9-9b56-4302-bab0-49de4ff4bf40 · outbound

This paper cites TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:46.908187Z

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Observation 39fefdfb-c3aa-4aa9-832a-4ffbe1fc9584 · outbound

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

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Smoothquant: Accurate and effi- cient post-training quantization for large language models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:50.837260Z

Source-reported events for the cited work

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

Observation 2bb0a087-7c09-4e1c-b393-79d73d80547a · outbound

This paper cites Ptq4vit: Post-training quantization for vision transformers with twin uniform quantization.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Ptq4vit: Post-training quantization for vision transformers with twin uniform quantization

Reference 54

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Observation 9855b86d-ed0a-4a03-ac3f-96d4baf0a206 · outbound

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Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Sigmoid loss for language image pre-training

Reference 55

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Observation fd2d0dd2-e4bb-4575-8918-97873bd6216a · outbound

This paper cites Fastact: A lightweight actor compression framework for fast policy learning.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Fastact: A lightweight actor compression framework for fast policy learning

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:50.679848Z

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Observation 4e77e36e-cb92-439a-b306-6fb60cde32df · outbound

This paper cites End-to-end urban driving by imitat- ing a reinforcement learning coach.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control End-to-end urban driving by imitat- ing a reinforcement learning coach

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:50.494302Z

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Observation 6461f5f9-d376-4759-a766-0e6456bede1a · outbound

This paper cites Poster: Self-supervised quantization-aware knowledge distillation.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Poster: Self-supervised quantization-aware knowledge distillation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:50.289554Z

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Observation 52cec2f9-8b8f-4fc5-8414-89b2ae6ac9d3 · outbound

This paper cites DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Reference 59

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Observation dfc9ba2d-05d7-4bc6-a44c-2e4c72e2189d · outbound

This paper cites LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:26:48.766498Z

Source-reported events for the cited work

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

Observation 7e0adae9-a18d-40c5-a024-1a7b6ef22443 · outbound

This paper cites Towards effective low-bitwidth convolutional neural networks.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Towards effective low-bitwidth convolutional neural networks

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:47.886959Z

Source-reported events for the cited work

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Observation b5c2bc72-750a-4304-b3b6-c152fe2fe37e · outbound

This paper cites Pick up the black bowl next to the ramekin and place it on the plate.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Pick up the black bowl next to the ramekin and place it on the plate

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:49.878041Z

Source-reported events for the cited work

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Observation a2fe93a9-018b-484c-873f-cdcbd08f9d97 · outbound

This paper cites 10 for Sec.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control 10 for Sec

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:49.679838Z

Source-reported events for the cited work

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

Observation 0c197a5e-c398-4bb7-bebf-ceb958e6ad25 · outbound

This paper cites To assess the distinct im- pacts of different quantization methods, we separately eval- uate each approach, as detailed in Table 10.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control To assess the distinct im- pacts of different quantization methods, we separately eval- uate each approach, as detailed in Table 10

Reference 65

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:26:49.507662Z

Source-reported events for the cited work

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

Observation 572d91ac-f3a1-4896-85b5-d748c7ed8d20 · outbound

This paper cites Detailed settings Device Settings: For our experimental setup, we utilized NVIDIA Jetson AGX Orin 64GB and RTX 2080Ti GPU.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Detailed settings Device Settings: For our experimental setup, we utilized NVIDIA Jetson AGX Orin 64GB and RTX 2080Ti GPU

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:26:49.331031Z

Source-reported events for the cited work

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

Observation 930916cb-f9f7-4e53-a71d-2c227deec78c · outbound

This paper cites an unresolved cited work.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Unresolved cited work

Reference 2018

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:26:50.082258Z

Source-reported events for the cited work

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

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