Patch Policy: Efficient Embodied Control via Dense Visual Representations | Paper Citation Record

Observation 0999069a-05e8-417a-9284-4ba5c61bfe49 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Patch Policy: Efficient Embodied Control via Dense Visual Representations An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 1

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Observation 0eeac7d6-2deb-42ce-bce1-017f501e3918 · outbound

This paper cites an unresolved cited work.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 2

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Observation 8eb8e320-c867-46f5-87ad-79fce496bbba · outbound

This paper cites Caron, H.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Caron, H

Reference 3

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Observation 0c995deb-d0c2-435d-9aa1-d9dd9dabc4e1 · outbound

This paper cites Radford, J.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Radford, J

Reference 4

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Observation 481d6e2c-2442-4367-ab4e-c25fa70d8c65 · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 5

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Observation 9675e14b-461b-4013-ac55-adf0bd06031f · outbound

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

Patch Policy: Efficient Embodied Control via Dense Visual Representations DINOv2: Learning Robust Visual Features without Supervision

Reference 6

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Observation fc8e785e-22eb-4c8c-af82-7c0e5c67ec11 · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 7

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Observation 9ad3551f-3055-427d-a70c-47e9face7e6d · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 8

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Observation 11142b12-6738-40ac-a20e-7673e925a913 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

Patch Policy: Efficient Embodied Control via Dense Visual Representations SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 9

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Observation 2f40e646-8e15-4a07-ad90-43d437fd6312 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

Patch Policy: Efficient Embodied Control via Dense Visual Representations SAM 3: Segment Anything with Concepts

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:49.507989Z

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Observation 96bad1a5-b26b-4db2-ad49-038ee0ab0550 · outbound

This paper cites Sim’eoni, H.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Sim’eoni, H

Reference 11

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Observation 4df71557-4ab1-4660-b94a-8d38f3473849 · outbound

This paper cites Scaling Language-Free Visual Representation Learning.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Scaling Language-Free Visual Representation Learning

Reference 12

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Observation 98feb01b-fc84-4930-8c4d-7ba04a46194d · outbound

This paper cites Revisiting Feature Prediction for Learning Visual Representations from Video.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Revisiting Feature Prediction for Learning Visual Representations from Video

Reference 13

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Observation 9bef89f6-8651-4929-892c-9774659f74fd · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

Patch Policy: Efficient Embodied Control via Dense Visual Representations V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 14

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Observation 890cfa89-100b-4d78-8877-0d820be77bac · outbound

This paper cites an unresolved cited work.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 15

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Observation 46dcbc55-fab3-4d4c-85ef-152ea0382e78 · outbound

This paper cites Perez, F.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Perez, F

Reference 16

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Observation 6e11dcf3-a4c7-4e78-81c4-4fa1f5ba9946 · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 17

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Observation 0110f960-8278-4fc5-b079-87f8714795a3 · outbound

This paper cites Dasari, M.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Dasari, M

Reference 18

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Observation 00933520-968d-4560-8027-3bb7d073a6c5 · outbound

This paper cites Vaswani, N.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Vaswani, N

Reference 19

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Observation b2b5dbd3-d27d-4b6a-a84a-d3ff6cb0a5f1 · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 20

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Observation ea0789c3-802a-4b47-bfb6-7642aef5e01b · outbound

This paper cites Behavior Generation with Latent Actions.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Behavior Generation with Latent Actions

Reference 21

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Observation 0ba4f9e8-ff30-46f0-a63f-21120c87abcb · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 22

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Observation 80919815-5340-42ba-b48d-721840aebdbf · outbound

This paper cites DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control.

Patch Policy: Efficient Embodied Control via Dense Visual Representations DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control

Reference 23

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Observation e4b5bcc5-a8d2-468f-b4e7-6cf58cd7721a · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 24

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Observation 7f97f9c9-d4ca-479e-826e-b97a71c250a5 · outbound

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

Patch Policy: Efficient Embodied Control via Dense Visual Representations Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 25

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Observation 8a107fb1-f7b1-4f9a-b316-481a604117b4 · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 26

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Observation 4a7a596b-d246-484a-9e59-dd0fca3448ad · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 27

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Observation 288ae33f-27d3-4546-8119-0a9d36d32cf7 · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 28

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Observation 15eb3220-764d-46a0-97e6-5808cab7a24a · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 29

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Observation b0d58eda-0838-4b9e-ab0d-6517889294aa · outbound

This paper cites Behavior Transformers: Cloning $k$ modes with one stone.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Behavior Transformers: Cloning $k$ modes with one stone

Reference 30

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Observation 4409a8e5-702f-4301-9c01-a16d3b5cbc8e · outbound

This paper cites From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data.

Patch Policy: Efficient Embodied Control via Dense Visual Representations From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data

Reference 31

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Observation 0397119c-7d5a-407a-abf0-d60113c35004 · outbound

This paper cites Florence, C.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Florence, C

Reference 32

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Observation 57850cf2-f296-44f6-8aec-38b8a2da1c1f · outbound

This paper cites IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation.

Patch Policy: Efficient Embodied Control via Dense Visual Representations IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation

Reference 33

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Observation 2ac2a723-e2c9-4f3e-a980-9e6f78d3c251 · outbound

This paper cites O’Neill, A.

Patch Policy: Efficient Embodied Control via Dense Visual Representations O’Neill, A

Reference 34

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Observation 71ae4aa7-a093-4dd4-ad9e-80667fc5dc61 · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Patch Policy: Efficient Embodied Control via Dense Visual Representations DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 35

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Observation d23b7808-6ceb-44c6-9bb5-f8eb5a9b08b8 · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 36

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Observation 5443285a-23c8-41b7-98fc-f6d65bc1658b · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Bootstrap your own latent: A new approach to self-supervised Learning

Reference 37

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Observation 54dbe55a-bb8b-4c57-bfe0-ae2892ae64ed · outbound

This paper cites Caron, H.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Caron, H

Reference 38

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Observation c681f91b-e1fa-4cdb-b9ef-5f0c8fe658d5 · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 39

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Observation c1bf5388-b2c3-4bca-b513-778369347356 · outbound

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

Patch Policy: Efficient Embodied Control via Dense Visual Representations RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 40

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Observation 27e872ca-2a84-48b4-b026-ef46e352edf9 · outbound

This paper cites Devlin, M.-W.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Devlin, M.-W

Reference 41

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Observation bc149f9a-9fa4-45c6-ac14-785b41012230 · outbound

This paper cites Brown, B.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Brown, B

Reference 42

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Observation 17379085-faaf-41aa-81c6-dda3e40c3cbd · outbound

This paper cites Perceiver: General Perception with Iterative Attention.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Perceiver: General Perception with Iterative Attention

Reference 43

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Observation b6c910e8-61e0-4b87-82db-d0bdb8aaa69b · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 44

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Observation 5d22822d-b801-4b2f-930a-9bb0064479a1 · outbound

This paper cites Janner, Q.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Janner, Q

Reference 45

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Observation 4c4517a7-6cf2-4e01-bad9-8404ac3e0c8d · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 46

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Observation 8eb5da6c-6359-4f3e-be9c-4ec660c5932e · outbound

This paper cites BAKU: An Efficient Transformer for Multi-Task Policy Learning.

Patch Policy: Efficient Embodied Control via Dense Visual Representations BAKU: An Efficient Transformer for Multi-Task Policy Learning

Reference 47

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Observation fc7f91ff-44ed-40cf-8411-761fe62efaa8 · outbound

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

Patch Policy: Efficient Embodied Control via Dense Visual Representations RT-1: Robotics Transformer for Real-World Control at Scale

Reference 48

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Observation 1b6d5ed2-27e4-4af0-a675-ee096f722e61 · outbound

This paper cites A Generalist Agent.

Patch Policy: Efficient Embodied Control via Dense Visual Representations A Generalist Agent

Reference 49

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Observation 4ec0c974-e445-4cc3-9f64-289ecac1c60d · outbound

This paper cites Diffusion Transformer Policy.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Diffusion Transformer Policy

Reference 50

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Observation ae89e05f-250f-4e71-be5c-69f7cc383c92 · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Octo: An Open-Source Generalist Robot Policy

Reference 51

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Observation b829ec7e-9d70-4be2-b312-401f1e4e8c33 · outbound

This paper cites Goyal, J.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Goyal, J

Reference 52

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Observation e8af3338-a5a1-44fb-b8f6-599857b26016 · outbound

This paper cites Shridhar, L.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Shridhar, L

Reference 53

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Observation bd7a1c2f-a9dc-4374-ae29-21219182ae17 · outbound

This paper cites Driess, F.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Driess, F

Reference 54

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Observation cb4fc575-16a4-4031-a831-2c0abb3e72b2 · outbound

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

Patch Policy: Efficient Embodied Control via Dense Visual Representations $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 55

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Observation 2ce54d37-576d-4d0e-beae-8283c2362505 · outbound

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

Patch Policy: Efficient Embodied Control via Dense Visual Representations $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 56

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Observation 5a764ebf-589c-4213-9d9d-69210564c53f · outbound

This paper cites $\pi^{*}_{0.6}$: a VLA That Learns From Experience.

Patch Policy: Efficient Embodied Control via Dense Visual Representations $\pi^{*}_{0.6}$: a VLA That Learns From Experience

Reference 57

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Observation 3182a82b-00c6-4b54-a79f-bcde711ad075 · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 58

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Observation 629bb516-025b-436d-9e8d-9ae1243756ce · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 59

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Observation a760df6e-d248-44ab-bf5f-74b9f08d95af · outbound

This paper cites OGBench: Benchmarking Offline Goal-Conditioned RL.

Patch Policy: Efficient Embodied Control via Dense Visual Representations OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 60

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Observation 0d373029-cf83-4e1a-9e7f-744428ca06d5 · outbound

This paper cites Evaluating Real-World Robot Manipulation Policies in Simulation.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Evaluating Real-World Robot Manipulation Policies in Simulation

Reference 61

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Observation 5722ae45-67c2-4e9b-a7be-35ab3de60bd7 · outbound

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Reference 64

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Observation 935d5ff0-3365-48ba-a330-60bc60c25213 · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 65

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Observation c43ce1f2-6d2b-4522-a62c-dfb63c4fbdc6 · outbound

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Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 66

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Observation 654d5c8b-7c9a-4268-bc7e-69a78a48951d · outbound

This paper cites an unresolved cited work.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 67

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Observation 8d1784ce-9e9b-4a58-a0bc-e3a5b81d3c2f · outbound

This paper cites The real-world tasks comprise: (1)Tool Hanging, (2)Pen Collection (long-horizon, small objects), (3)Cable Insertion(low-tolerance insertion).

Patch Policy: Efficient Embodied Control via Dense Visual Representations The real-world tasks comprise: (1)Tool Hanging, (2)Pen Collection (long-horizon, small objects), (3)Cable Insertion(low-tolerance insertion)

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:56.589336Z

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Observation 580b867b-f96d-427e-b272-83e30420f0f3 · outbound

This paper cites an unresolved cited work.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:48.834059Z

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Observation 1a8e159e-4787-4ec7-9759-bc60ce055df8 · outbound

This paper cites an unresolved cited work.

Patch Policy: Efficient Embodied Control via Dense Visual Representations Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:53.717008Z

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