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Paper Citation Record · LEDGER

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers

As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.09590.

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

pith.paper-citation-record.v1
2607.09590 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T01:56:20.542865Z

measured 32 of 32 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

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

32 of 32 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier1
  • metadata mismatch0

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Outbound references

Observation 4f922d12-d744-47cc-bde8-0b4bd6501574 · outbound

This paper cites Visual servo control. I. Basic ap- proaches,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Visual servo control. I. Basic ap- proaches,

Reference 1

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Observation f258a2d1-63bf-4642-a833-d4193ebc5e86 · outbound

This paper cites Measurement errors in visual servoing,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Measurement errors in visual servoing,

Reference 2

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source=pdf_text observed=2026-07-13T01:56:20.542865Z digest=sha256:a6d15f58b28603bae946c403d76320f7b6d97b04b19cfb465bc8642a63990d68

Observation 6f926935-2c61-48d5-ba4b-20d11493d94f · outbound

This paper cites Learning fine-grained bimanual manipulation with low-cost hardware,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Learning fine-grained bimanual manipulation with low-cost hardware,

Reference 3

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Observation 56f38be9-251d-45c8-a69c-0f67c737e545 · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers A reduction of imitation learning and structured prediction to no-regret online learning,

Reference 4

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Observation b828162b-e267-4ae5-a29a-20d5d7065145 · outbound

This paper cites What matters in learning from offline human demonstrations for robot manipulation,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers What matters in learning from offline human demonstrations for robot manipulation,

Reference 5

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Observation 1635ef22-6a4f-4458-9b79-e0ff826c8a3d · outbound

This paper cites A survey of robot manipulation in contact,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers A survey of robot manipulation in contact,

Reference 6

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Observation cec1b4b3-6aa2-4df4-9be3-bc7ea93a8e7a · outbound

This paper cites Impedance control: An approach to manipulation: Part I— Theory,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Impedance control: An approach to manipulation: Part I— Theory,

Reference 7

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Observation 3bbceb78-7385-45e6-9a6c-d1fb5a7e865a · outbound

This paper cites Chunking the Critic: A Transformer-based Soft Actor-Critic with N-Step Returns.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Chunking the Critic: A Transformer-based Soft Actor-Critic with N-Step Returns

Reference 8

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Observation ad8a6034-15eb-49ba-8290-3abfcd38cd23 · outbound

This paper cites Reinforcement learning with action chunking,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Reinforcement learning with action chunking,

Reference 9

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Observation ace6b334-dc3c-41d9-8842-1acd0024546f · outbound

This paper cites LeRobot: An open-source library for end-to-end robot learning,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers LeRobot: An open-source library for end-to-end robot learning,

Reference 10

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Observation cf6cd62c-eb05-45d9-9d90-0eb8406552a9 · outbound

This paper cites Learning structured output representation using deep conditional generative models,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Learning structured output representation using deep conditional generative models,

Reference 11

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Observation 83e26bd3-1d04-4c2c-aab3-17b398e37ec7 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 12

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Observation 7a2398f1-78dd-4fd9-a5a6-1a8943ea23ad · outbound

This paper cites Behavior transformers: Cloningkmodes with one stone,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Behavior transformers: Cloningkmodes with one stone,

Reference 13

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Observation 3d6b4067-9e11-4a96-b0bb-e1e66aeaa735 · outbound

This paper cites RT-2: Vision-language-action models transfer web knowledge to robotic control,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers RT-2: Vision-language-action models transfer web knowledge to robotic control,

Reference 14

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Observation 30840037-1bda-4f9f-925e-6df950824298 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 15

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Observation 0d90a820-2411-4440-b666-8fe15505f541 · outbound

This paper cites Implicit behavioral cloning,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Implicit behavioral cloning,

Reference 16

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Observation d6206067-75b6-4dc8-86c6-14c8f3b0ba0c · outbound

This paper cites Coarse-to-fine Q-network with action se- quence for data-efficient reinforcement learning,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Coarse-to-fine Q-network with action se- quence for data-efficient reinforcement learning,

Reference 17

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Observation 70a2b9f6-16a9-467c-8c95-9cec381c07c6 · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 18

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Observation ff985ec7-44ac-460f-8f04-7723bff78053 · outbound

This paper cites Actor-critic for continuous action chunks: A reinforcement learning framework for long-horizon robotic manipulation with sparse reward,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Actor-critic for continuous action chunks: A reinforcement learning framework for long-horizon robotic manipulation with sparse reward,

Reference 19

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Observation 0d5fd5e8-feae-47a1-aaf1-c27b88f61567 · outbound

This paper cites Conservative Q- learning for offline reinforcement learning,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Conservative Q- learning for offline reinforcement learning,

Reference 20

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Observation b31d7d20-e346-4c93-9680-f0058b1dec54 · outbound

This paper cites Offline reinforcement learning with implicit Q-learning,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Offline reinforcement learning with implicit Q-learning,

Reference 21

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Observation 93154fcf-97f5-46b3-a1dd-8638be848579 · outbound

This paper cites Safe learning in robotics: From learning-based control to safe reinforcement learning,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Safe learning in robotics: From learning-based control to safe reinforcement learning,

Reference 22

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Observation 83e052c6-97bf-4d64-841c-fd69eb2190d6 · outbound

This paper cites Open X-Embodiment: Robotic learning datasets and RT-X models,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Open X-Embodiment: Robotic learning datasets and RT-X models,

Reference 23

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Observation 0a61ad18-c644-4b46-b3eb-f0a62b6fc8de · outbound

This paper cites Diffusion Policy Policy Optimization.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Diffusion Policy Policy Optimization

Reference 24

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Observation 3e4a49ac-292f-467a-b7c5-3aba8838eae3 · outbound

This paper cites Deep residual learning for image recognition,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Deep residual learning for image recognition,

Reference 25

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Observation dd0e740b-2363-4473-bbfd-7f03f74e9e61 · outbound

This paper cites Attention is all you need,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Attention is all you need,

Reference 26

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Observation 1447139b-7dc0-4bc2-aefd-b00298e1ddf1 · outbound

This paper cites R3M: A universal visual representation for robot manipulation,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers R3M: A universal visual representation for robot manipulation,

Reference 27

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Observation db3f1c5c-ac5b-4c7d-84e8-1b12030912fc · outbound

This paper cites Proximal Policy Optimization Algorithms.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Proximal Policy Optimization Algorithms

Reference 28

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Observation 947c5a34-629f-4157-984e-c7e5b219886e · outbound

This paper cites Trust re- gion policy optimization,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers Trust re- gion policy optimization,

Reference 29

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Observation 5f5a9c03-5e1d-4e1e-a6cb-8277cbbd064b · outbound

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

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers MuJoCo: A physics engine for model-based control,

Reference 30

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Observation fa16465c-9cd8-479a-afa6-57a00fce74ad · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 31

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Observation 3627a4af-7e70-427a-8c73-72316c825505 · outbound

This paper cites DeeR-VLA: Dynamic inference of multimodal large language models for efficient robot execution,.

PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers DeeR-VLA: Dynamic inference of multimodal large language models for efficient robot execution,

Reference 32

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Pith citing papers

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