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Paper Citation Record · LEDGER

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control

As of 20 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2505.15304.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.15304 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

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measured 66 of 66 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

66 of 66 outbound references displayed

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External citation measurements

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Outbound references

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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

Reference 27

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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

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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

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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

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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

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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

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

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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

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

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

source=pdf_text observed=2026-08-07T15:26:44.319427Z digest=sha256:7062cea5023376f2c48c31c5bde1d2c92b10780d74536db6c63a4db1b4ec52f8

Observation b05b1b7e-5962-4710-915b-16fe9500fd05 · outbound

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

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

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.

source=pdf_text observed=2026-08-07T15:26:44.437796Z digest=sha256:9e4cf4db16311454782d733f54fb12836665b22796d974ebf14a71448ea08ef3

Observation 5e8b9dd0-751e-453e-b05b-358685b53927 · outbound

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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local_arxiv, observed 2026-08-07T15:26:48.931498Z

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.

source=pdf_text observed=2026-08-07T15:26:44.602280Z digest=sha256:1fd6d87579bea4599cc6ac54d156584466a8978ccd7db6ebc0ee0bdfaa0ecea1

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

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.

source=pdf_text observed=2026-08-07T15:26:44.757153Z digest=sha256:4b405dab297c99020a7ca96ffb7db09d73b92c5b2bacd51e8d52872e10295013

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

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.

source=pdf_text observed=2026-08-07T15:26:44.928459Z digest=sha256:105ac8ad3e81c3cb98dcaef1af761ff47f8446335e4cc1e84ece23e76e50c971

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

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.

source=pdf_text observed=2026-08-07T15:26:45.079348Z digest=sha256:93ef09075eaf7efc2d5fb62cff6ac2d386cb2dd9ecf06a11c248abc8ae66d2ee

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:45.237897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:45.237897Z digest=sha256:e0a298654ca952f8297cab62e8d79a9e8d7b67ea03a039bef6fb520c94a76f81

Observation 96d1252f-afd5-4aad-8115-2e062112ed2f · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:52.534944Z

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.

source=pdf_text observed=2026-08-07T15:26:45.412448Z digest=sha256:a15d29efc3abe4b8f4e5472cebcf0a4c50140568f414a922946e8a6f575c2efa

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

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.

source=pdf_text observed=2026-08-07T15:26:45.529485Z digest=sha256:a957bd7d7e7aaba9ecdc149dbf3f35bab299e98b49e7b094df7b5cc38902572e

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:45.646635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:45.646635Z digest=sha256:8a5705935fb016b10cd5093c2c9f4316c4e016931891171187e7c8dfe4617984

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

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.

source=pdf_text observed=2026-08-07T15:26:45.813475Z digest=sha256:f8f974f278133b9a6578d55f506be0f613ca5930ea3713d0192acea9d474017f

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:45.982042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:45.982042Z digest=sha256:c234c6ac3019677b47645a10c4ea3db42c9c8f8bdcee6a55bc9b660ca7c16d77

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

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.

source=pdf_text observed=2026-08-07T15:26:46.104811Z digest=sha256:5342c90bd11a466907978164cd4e3c9f22b4deb769f06b923af8858a25e5a5e8

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

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.

source=pdf_text observed=2026-08-07T15:26:46.247787Z digest=sha256:fd7a0083e5477d15542d776a5afa071e3e2a58ce5bebaf4b62920c802a220904

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

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.

source=pdf_text observed=2026-08-07T15:26:46.416698Z digest=sha256:b96b70f15ab51f9a16a45a37330222267290e62e460983900275f355ca25b65e

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

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.

source=pdf_text observed=2026-08-07T15:26:46.576139Z digest=sha256:235220fb567e1d89eeb73558b4a5a47e8ca524dad1b7a37f1ae2feeb3a0b56d2

Observation ed04cc12-310f-4445-8d5d-ee838b99c1e5 · outbound

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

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.

source=pdf_text observed=2026-08-07T15:26:46.703646Z digest=sha256:b066b453d70f758d8870c443dd47eae9cd0c73a26e8848ceb35680f66244ab00

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:46.908187Z digest=sha256:6bd2f2bc3caa89732dbec7eab71657ec5e10e87c13f325b9d75d49a76b386550

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:47.081309Z digest=sha256:584dac688b334c62c693030e92f871535f7d86000fd46d80a88d1dab70f3b352

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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unresolved
no resolver link, observed 2026-08-07T15:26:47.262426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:47.262426Z digest=sha256:9516b13616e1c83fd7e1424913160dc0a69b874e97de40d495fef599364e2768

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

This paper cites Sigmoid loss for language image pre-training.

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

Reference 55

Resolution
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no resolver link, observed 2026-08-07T15:26:47.386012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:47.386012Z digest=sha256:9ed4ce4bef1eacc55b222c3dba75346fc08f0439e6ea4d0a40ded65c1173d4f5

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

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.

source=pdf_text observed=2026-08-07T15:26:47.474817Z digest=sha256:ae2b539937691164a0048caccff897cc8d520b783c7d76a4ea78af9844afb691

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

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.

source=pdf_text observed=2026-08-07T15:26:47.561732Z digest=sha256:46085fb1293f85fbef0641e956d6b82cdb7b14e728c28edbc15ff977b5482443

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

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.

source=pdf_text observed=2026-08-07T15:26:47.649848Z digest=sha256:650f357cd460f8bc5da7231a40235b8e3b3f79e96c822d2ecceda21323f1f584

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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no resolver link, observed 2026-08-07T15:26:47.741744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:47.741744Z digest=sha256:30298d6ab9df8dac0bf0733fcffc492de5497c71697f25bc5c21cdb696768e32

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:47.808278Z digest=sha256:9fdcb71d667833fb5e52b7138d9792da65dc8183cfe1ae8712fbd71df7975875

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:47.886959Z digest=sha256:ed4db62ca068d453ce76b3d17fb04deffae18f934fbdeb411a0a733d13d81dd5

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

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

source=pdf_text observed=2026-08-07T15:26:48.056291Z digest=sha256:33199c11340a7c46cdbe21ecaa54158c77da9ecfea06cd28bec702e569f9455e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:48.187712Z digest=sha256:dcb63d5c693f7ba463d6dac010d5ea0d382b949ded3be5298ffa09413ee2bfbb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:48.298316Z digest=sha256:a704381f2f4de62e9581bd964934da0e1f9fc18d37e975ccd549626dec767c5a

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:48.463130Z digest=sha256:38a530ad770e988f45e1f411e6712160a54e9d95adfe669eaad619ed6ebca6dd

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:47.981023Z digest=sha256:404c79f16e2a71b6ad786d188bb65133472705c1be7334cf17513dd37aa95421

Pith citing papers

No inbound Pith citation observations are available.