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Paper Citation Record · LEDGER

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning

As of 22 July 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2606.25939.

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

pith.paper-citation-record.v1
2606.25939 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T04:53:12.335945Z

measured 65 of 65 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+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

A source-named dated measurement, never combined with another source.

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Reference resolution

65 of 65 outbound references displayed

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  • verified fuzzy0
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External citation measurements

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Outbound references

Observation d98da7b8-6e4e-4651-8a2c-aa5d62381aa9 · outbound

This paper cites pi0: A vision-language-action flow model for general robot control.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning pi0: A vision-language-action flow model for general robot control

Reference 1

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Observation 3637a0af-b789-41a6-9abb-ccfad6fd94c3 · outbound

This paper cites pi0.5: a vision-language-action model with open-world generalization.arXiv preprint, 2025.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning pi0.5: a vision-language-action model with open-world generalization.arXiv preprint, 2025

Reference 2

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Observation 073164a2-9c0f-4e5c-970f-052b63232e12 · outbound

This paper cites Openvla: An open-source vision-language-action model.arXiv preprint, 2024.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Openvla: An open-source vision-language-action model.arXiv preprint, 2024

Reference 3

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Observation cd68ca5e-8790-4f37-84f8-3ec19f7d5e56 · outbound

This paper cites Gr00t n1: An open foundation model for generalist humanoid robots.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Gr00t n1: An open foundation model for generalist humanoid robots

Reference 4

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:f0815726844be82926891faa9cc2bec71e1a1774f9cdfec16de18f0152410c3c

Observation 0a412702-8602-40e6-ad37-b942dc8ec982 · outbound

This paper cites InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy

Reference 5

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:ea1ad8fe5563ee0dd6f84efca349ec00acdffbb765cd8036b9e84d92cd751d04

Observation cc02b17a-cd3b-4638-8e38-d7679cca3026 · outbound

This paper cites Dreamvla: A vision-language-action model dreamed with comprehensive world knowledge.arXiv preprint, 2025.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Dreamvla: A vision-language-action model dreamed with comprehensive world knowledge.arXiv preprint, 2025

Reference 6

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:40db4620c9932d7d3666b2e96e3da5af629b9ac236f53670430d1a9303d6adf9

Observation d795e6ea-047c-46a9-aa31-b104ffc4940d · outbound

This paper cites Disentangled Robot Learning via Separate Forward and Inverse Dynamics Pretraining.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Disentangled Robot Learning via Separate Forward and Inverse Dynamics Pretraining

Reference 7

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:c8968481ea4cb515fe3c6c37badb4fc39fc38f222cadbdc9510f2f4bdcbbfbfa

Observation 17c6b6fc-667c-434a-b8fc-d60f3e0f5393 · outbound

This paper cites Vla-jepa: Enhancing vision-language-action model with latent world model.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Vla-jepa: Enhancing vision-language-action model with latent world model

Reference 8

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:c80628ccb2645c0dd3a7a6ca9d88139c86bd3f960125f4640a6e8a4969d96565

Observation 738ac2dd-f1d3-45cb-bc91-2358e7d7e837 · outbound

This paper cites Discrete diffusion vla: Bringing discrete diffusion to action decoding in vision- language-action policies.arXiv preprint, 2025.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Discrete diffusion vla: Bringing discrete diffusion to action decoding in vision- language-action policies.arXiv preprint, 2025

Reference 9

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:be9a01c516a89c4d96af48aaf820138553a1fb8617d8f2c0e34f9d5973a7f220

Observation 8ab02e35-05e1-47ab-b578-58629f0d1458 · outbound

This paper cites Robotwin: Dual-arm robot benchmark with generative digital twins (early version).

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Robotwin: Dual-arm robot benchmark with generative digital twins (early version)

Reference 10

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:1df70bbda4fb9192d0c5fe2046082697273a411641e140b7c8d13d9079731c08

Observation 0b9406c8-71ea-4b5a-9e70-853e303b57dc · outbound

This paper cites Mimicgen: A data generation system for scalable robot learning using human demonstrations.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Mimicgen: A data generation system for scalable robot learning using human demonstrations

Reference 11

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:39e8edb72014a5fc0348d93a644b296befa2ad3463ec41706649e410490c1e7e

Observation fb6cafc1-e129-44f9-a660-1c83622287a4 · outbound

This paper cites DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 12

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Observation de6f62e7-310f-452d-8125-3f5cbe828029 · outbound

This paper cites Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation

Reference 13

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Observation cbe241d9-a3bf-4a44-ad1a-49c5b3ec587d · outbound

This paper cites Egodemogen: Novel egocentric demonstration generation enables viewpoint-robust manipula- tion.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Egodemogen: Novel egocentric demonstration generation enables viewpoint-robust manipula- tion

Reference 14

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:c7df009265bf05d3e3ec8271511f2d08280caa81f57ae0c6ed23c822c536aadf

Observation f7eb1fa6-7b2d-447e-8cd0-d7f80df0c46a · outbound

This paper cites Softmimic- gen: A data generation system for scalable robot learning in deformable object manipulation.arXiv preprint arXiv:2603.25725, 2026.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Softmimic- gen: A data generation system for scalable robot learning in deformable object manipulation.arXiv preprint arXiv:2603.25725, 2026

Reference 15

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Observation bf006b5b-133e-47be-86a2-6270623384d4 · outbound

This paper cites SIM1: Physics-Aligned Simulator as Zero-Shot Data Scaler in Deformable Worlds.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning SIM1: Physics-Aligned Simulator as Zero-Shot Data Scaler in Deformable Worlds

Reference 16

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Observation 2c82dcdc-b3da-4df4-93ba-fe13d63c480a · outbound

This paper cites Robotic manipulation and sensing of deformable objects in domestic and industrial applications: a survey.The International Journal of Robotics Research, 37(7):688–716, 2018.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Robotic manipulation and sensing of deformable objects in domestic and industrial applications: a survey.The International Journal of Robotics Research, 37(7):688–716, 2018

Reference 17

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Observation 3d131e27-b11a-4708-ae5a-ae905bb35ded · outbound

This paper cites Modeling, learning, perception, and control methods for deformable object manipulation.Science Robotics, 6(54):eabd8803, 2021.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Modeling, learning, perception, and control methods for deformable object manipulation.Science Robotics, 6(54):eabd8803, 2021

Reference 18

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Observation 33a95491-4de9-484b-8c25-90c397d2cc83 · outbound

This paper cites Real-to-sim robot policy evaluation with gaussian splatting simulation of soft-body in- teractions.ArXiv, abs/2511.04665.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Real-to-sim robot policy evaluation with gaussian splatting simulation of soft-body in- teractions.ArXiv, abs/2511.04665

Reference 19

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Observation a4ba121b-a697-4680-9e34-2fac9a7fa3a3 · outbound

This paper cites High-fidelity simulated data generation for real-world zero-shot robotic manipulation learning with gaussian splatting.IEEE Robotics and Automation Letters, 11(5):5310–5317, 2026.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning High-fidelity simulated data generation for real-world zero-shot robotic manipulation learning with gaussian splatting.IEEE Robotics and Automation Letters, 11(5):5310–5317, 2026

Reference 20

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Observation 3f2ad7a9-4304-4285-9335-943b472b0cb3 · outbound

This paper cites RLBench: The Robot Learning Benchmark & Learning Environment.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning RLBench: The Robot Learning Benchmark & Learning Environment

Reference 21

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:27c711a44f0ece7e6092117fe03d7fe9c70895bc17f4361bfcbc53ef4e4f8801

Observation b0b4c336-1b88-4001-9772-2f9c4b6009c0 · outbound

This paper cites RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

Reference 22

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Observation 7f512068-9b08-449c-be94-ef05d9469576 · outbound

This paper cites RL-Driven Data Generation for Robust Vision-Based Dexterous Grasping.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning RL-Driven Data Generation for Robust Vision-Based Dexterous Grasping

Reference 23

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:2075bf7c95c0d49fb85c7999fef116f66792d26ac4881b9280c54293f8ad6775

Observation 29da05e2-28a8-4093-9058-6d6cfecd1966 · outbound

This paper cites Semantically controllable augmentations for generalizable robot learning.The International Journal of Robotics Research, 44(10-11):1705–1726, 2025.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Semantically controllable augmentations for generalizable robot learning.The International Journal of Robotics Research, 44(10-11):1705–1726, 2025

Reference 24

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Observation c7451c0d-feb8-406c-b6a4-8014a1e4e7cb · outbound

This paper cites Gigabrain-0: A world model-powered vision-language- action model.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Gigabrain-0: A world model-powered vision-language- action model

Reference 25

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Observation 4d1d55fc-b5f4-4cba-b931-a9afc5f9c053 · outbound

This paper cites Dexmimicgen: Automated data generation for bimanual dexterous manipulation via imitation learning.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Dexmimicgen: Automated data generation for bimanual dexterous manipulation via imitation learning

Reference 26

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Observation bdb03f11-43c3-4292-92c0-864a0e915c42 · outbound

This paper cites Dreamgen: Unlocking generalization in robot learning through neural trajectories.arXiv preprint, 2025.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Dreamgen: Unlocking generalization in robot learning through neural trajectories.arXiv preprint, 2025

Reference 27

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Observation 7143484e-65d6-4d77-84eb-76a577476a83 · outbound

This paper cites Manipdreamer3d: Synthesizing plausible robotic manipulation video with occupancy-aware 3d trajectory.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Manipdreamer3d: Synthesizing plausible robotic manipulation video with occupancy-aware 3d trajectory

Reference 28

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Observation 1e9f0ede-d4a1-400e-965a-1687979084a8 · outbound

This paper cites Oxe-auge: A large-scale robot augmentation of oxe for scaling cross-embodiment policy learning.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Oxe-auge: A large-scale robot augmentation of oxe for scaling cross-embodiment policy learning

Reference 29

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Observation 65924e56-a957-4177-9ef8-5c21c8837d2b · outbound

This paper cites RoboVIP: Multi-view video generation with visual identity prompting augments robot manipulation.arXiv preprint arXiv:2601.05241, 2026a.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning RoboVIP: Multi-view video generation with visual identity prompting augments robot manipulation.arXiv preprint arXiv:2601.05241, 2026a

Reference 30

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Observation bcbcb4df-6039-44f6-a205-0d6e55c95892 · outbound

This paper cites One demo is worth a thousand trajectories: Action-view augmentation for visuomotor policies.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning One demo is worth a thousand trajectories: Action-view augmentation for visuomotor policies

Reference 31

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Observation 694aa2f9-138f-4a35-af6a-75a8b8aefc6c · outbound

This paper cites Real2render2real: Scaling robot data without dynamics simulation or robot hardware,.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Real2render2real: Scaling robot data without dynamics simulation or robot hardware,

Reference 32

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Observation eaafd8c7-0865-4016-830c-8bdb7e2008ec · outbound

This paper cites Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware

Reference 33

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:867401b84b5bf237440e4bba318ff1cb28cbe48b9db5efbec02a882e13d410b0

Observation ec6011ff-2b22-4717-8c05-57690e963c81 · outbound

This paper cites Real2edit2real: Generating robotic demonstrations via a 3d control interface.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Real2edit2real: Generating robotic demonstrations via a 3d control interface

Reference 34

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:c23240377d8c1ebfc2ad11ba24e9a60d3981febeb093066b14314470ab3d657d

Observation 13e65899-f511-45de-a8b9-d14006bb04aa · outbound

This paper cites SkillMimicGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning SkillMimicGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment

Reference 35

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:5c4d8ee7c28e7c617b47454c93fd3d48a74e4b201289fad6e4bc959e80ce5404

Observation 0f754463-a4ea-4408-ad86-e1c74ad09725 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Trans.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 36

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:dd0abd873513c668bcc37c41183572d1e9b2dccef56cc956ef68d53342c22173

Observation e21d8b1d-782b-4f72-b094-ea87ac6dcb85 · outbound

This paper cites Deformation constraints in a mass-spring model to describe rigid cloth behaviour.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Deformation constraints in a mass-spring model to describe rigid cloth behaviour

Reference 37

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:77f6d6dd1b07d8bfeb6124ddc32efd23596567de2df4488dc4251ebc8e9fb6bf

Observation cdf97176-f8c4-45cc-b9c8-b5c782e2e124 · outbound

This paper cites Real-time elastic deformations of soft tissues for surgery simulation.IEEE transactions on Visualization and Computer Graphics, 5(1):62–73, 2002.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Real-time elastic deformations of soft tissues for surgery simulation.IEEE transactions on Visualization and Computer Graphics, 5(1):62–73, 2002

Reference 38

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:137b2b041877be9fad3b1bb7487980ee2a53c3c45620e7e51acc011cf08bfd62

Observation 91e52c5a-e932-417f-9568-3627c69f0c55 · outbound

This paper cites A moving least squares material point method with displacement discontinuity and two-way rigid body coupling.ACM Transactions on Graphics (TOG), 37(4):1–14, 2018.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning A moving least squares material point method with displacement discontinuity and two-way rigid body coupling.ACM Transactions on Graphics (TOG), 37(4):1–14, 2018

Reference 39

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:2c6211ea6d54f8c317f277f4f76d0aa69999e9edeb1fe7a5f2cab82958555da1

Observation e966e67d-8b70-4b2a-a7be-d210c2bba0f6 · outbound

This paper cites Position based dynamics.Journal of Visual Communication and Image Representation, 18(2):109–118, 2007.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Position based dynamics.Journal of Visual Communication and Image Representation, 18(2):109–118, 2007

Reference 40

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:baa918983cbd74ac6f45409d1b82563f0e256d8b881c8000e368de8ad2e6aa22

Observation 0841b2cf-561d-44f3-be07-6e1cbc1b78e7 · outbound

This paper cites May, Tushar Kusnur, George Konidaris, and Laura Herlant.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning May, Tushar Kusnur, George Konidaris, and Laura Herlant

Reference 41

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:2328f955d21e446a2c58849ffe4be189a7282cad98d6d7e3d9a4841bdd1ca30d

Observation 6f070862-732c-459c-956b-3dc2c9990ade · outbound

This paper cites Tenenbaum, David Held, and Chuang Gan.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Tenenbaum, David Held, and Chuang Gan

Reference 42

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:1583b2a9ee849fbaefb6ada1f78dbd45144eb003638850bb5b5859b6cf47f441

Observation 79a32a48-c0ff-42a7-918b-94631fd9547d · outbound

This paper cites Robocook: Long-horizon elasto-plastic object manipulation with diverse tools.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Robocook: Long-horizon elasto-plastic object manipulation with diverse tools

Reference 43

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:e9b9c5aa8b2ba518b7c80f9be6c6a99f19c55401aa34e50972929aaa688be573

Observation cda46df7-3d04-4d83-b00d-d3177e8fd332 · outbound

This paper cites Predicting object interactions with behavior primitives: An application in stowing tasks.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Predicting object interactions with behavior primitives: An application in stowing tasks

Reference 44

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:0ddded0e60b7fec074a2f7b7dc2b223908a12abc35d3529606fd5ed84022889e

Observation 4bfa15a9-9b33-4f8f-a3e9-e45cf0b74444 · outbound

This paper cites Defgraspsim: Physics-based simulation of grasp outcomes for 3d deformable objects.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Defgraspsim: Physics-based simulation of grasp outcomes for 3d deformable objects

Reference 45

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:1dd06db28c0798b0c9c429d8910ef5d0c5a70680fff051fd86595e3266265c5c

Observation ff214df3-d618-4c22-91f1-4808282109f9 · outbound

This paper cites Robotic manipulation of deformable objects: a comprehensive review.Robotic Intelligence and Automation, pages 1–16, 2026.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Robotic manipulation of deformable objects: a comprehensive review.Robotic Intelligence and Automation, pages 1–16, 2026

Reference 46

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:2cf44b222852e59fcfdad7e41c954bd62861d646dc2a1cb835640c586d4567a4

Observation 941da9bf-0e8c-465a-98d4-a40eae706a16 · outbound

This paper cites A perspective on open challenges in deformable object manipulation.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning A perspective on open challenges in deformable object manipulation

Reference 47

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arxiv_id, observed 2026-06-29T19:13:53.023919Z

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:8361fa173d8a2c5119e52faad1e7569cf7b1fb22922874cf13fe3d9fc7ed2a46

Observation 7c29b1aa-bb46-4403-8886-d523f184a67b · outbound

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

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Diffusion policy: Visuomotor policy learning via action diffusion

Reference 48

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:6aa624329dea216765179cf8a7d7b06bb70f3931296cac608fc8551e3dca76c0

Observation d6ebff3a-f7a1-4986-a0ee-2dbb8c9ece5c · outbound

This paper cites Autoencoders as cross-modal teachers: Can pretrained 2d image transformers help 3d representation learning? InICLR, 2023.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Autoencoders as cross-modal teachers: Can pretrained 2d image transformers help 3d representation learning? InICLR, 2023

Reference 49

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:3321c2693baf6124932396fa9481b575d21859a3eee54e09a079d6af5e989f5a

Observation 17ef69f7-765b-4c5f-8d11-aaaf5bdba3b7 · outbound

This paper cites TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach

Reference 50

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arxiv_id, observed 2026-06-29T19:13:53.014591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:59e1d0b7a5572b5d127de07b8a8117b36c323a1ecd285046acb9fbc78b7b7491

Observation ae553e52-3040-4283-8525-edf6769703d4 · outbound

This paper cites Robotic assembly of deformable linear objects via curriculum reinforcement learning.IEEE Robotics and Automation Letters, 2025.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Robotic assembly of deformable linear objects via curriculum reinforcement learning.IEEE Robotics and Automation Letters, 2025

Reference 51

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:7e3f7d697b590f6075d73bb06b5932c9286d3adb67653ccfada17c9a738d6954

Observation 377a3101-166d-43bf-a3fa-46592f7b6e94 · outbound

This paper cites χ0: Resource-aware robust manipulation via taming distributional inconsistencies.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning χ0: Resource-aware robust manipulation via taming distributional inconsistencies

Reference 52

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arxiv_id, observed 2026-06-29T19:13:52.987799Z

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:df27d42a84e2935c8f0719c7a426691991947364af89dd91d82d4aafa3122a9e

Observation 654b2715-07d9-49ee-abf2-bfc9ca40e985 · outbound

This paper cites Deep imitation learning of sequential fabric smoothing from an algorithmic supervisor.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Deep imitation learning of sequential fabric smoothing from an algorithmic supervisor

Reference 53

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:ff60cf587d382993c8e41bea36613506f70c97313ee22f4f8c9411bb2a616984

Observation dc2f1e88-4a03-4428-9014-1d5abe73bbe7 · outbound

This paper cites Fabricflownet: Bimanual cloth manipulation with a flow-based policy.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Fabricflownet: Bimanual cloth manipulation with a flow-based policy

Reference 54

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:3e356075691350f2e5ace1d17f9558062e6ee9d19b2490c91976508354405ae0

Observation 3f7075a3-6dbe-43e2-8d1f-0160eabea647 · outbound

This paper cites Dexgarmentlab: Dexterous garment manipulation environment with generalizable policy.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Dexgarmentlab: Dexterous garment manipulation environment with generalizable policy

Reference 55

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arxiv_id, observed 2026-06-29T19:13:53.026634Z

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:f5dbc8d603b5a32d65143b8992298b404b295b0860ea29f651537870fa81266c

Observation d7ec7947-084e-463b-974f-d95291cd6ec2 · outbound

This paper cites Flingbot: The unreasonable effectiveness of dynamic manipulation for cloth unfolding.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Flingbot: The unreasonable effectiveness of dynamic manipulation for cloth unfolding

Reference 56

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:35c1ec88545542ceb8107aae46e7293a8140d958fe0b977f1dff30283e24de05

Observation 884e3d9a-2b52-47ac-9628-af654d01f72e · outbound

This paper cites Phystwin: Physics- informed reconstruction and simulation of deformable objects from videos.ICCV, 2025.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Phystwin: Physics- informed reconstruction and simulation of deformable objects from videos.ICCV, 2025

Reference 57

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:8e1a581d1c5cfd9a59f6486587151fd447da3d8feae227641797246bb93bb948

Observation c1fdd84a-cfee-43a0-b612-ee388f5b493a · outbound

This paper cites Softgym: Benchmarking deep reinforcement learning for deformable object manipulation.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Softgym: Benchmarking deep reinforcement learning for deformable object manipulation

Reference 58

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:93f5958713d8ea8b042ce6753bff158020246e2275be85c0f8d79d24c8d2f24c

Observation 2627a893-e190-4f45-b3ad-cc9f6a2c5cef · outbound

This paper cites Taichi: a language for high-performance computation on spatially sparse data structures.ACM Transactions on Graphics (TOG), 38 (6):1–16, 2019.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Taichi: a language for high-performance computation on spatially sparse data structures.ACM Transactions on Graphics (TOG), 38 (6):1–16, 2019

Reference 59

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:500fa2f98af72a1b09f5de07fcd0a348b1e40a87cb43fde5b2f3d7a2514f7557

Observation 59af7c1b-f216-4d82-bc57-9eb5566760cd · outbound

This paper cites Warp: A high-performance python framework for gpu simulation and graphics.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Warp: A high-performance python framework for gpu simulation and graphics

Reference 60

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:a4b67325851373a10edd9f9831f57505edc8b7268f1c17454d2bed502b52c320

Observation 88857bc2-51f6-4aa1-ab57-b4e265572c5c · outbound

This paper cites Interndata-a1: Pioneering high-fidelity synthetic data for pre-training generalist policy.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Interndata-a1: Pioneering high-fidelity synthetic data for pre-training generalist policy

Reference 61

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arxiv_id, observed 2026-06-29T19:13:52.981306Z

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:ae0026334c474dd484bfc072dcc15afff165c495b69e49361560f90229b0f339

Observation c2392c01-bf1d-485d-9a26-fbf16e0581c8 · outbound

This paper cites Learning from demonstrations through the use of non-rigid registration.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Learning from demonstrations through the use of non-rigid registration

Reference 62

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:8431d9e97a971688ff898a15490f2cc0248670f83a91943da52737bbc2dbeff1

Observation e43c13f9-1fe7-4d23-95f3-e154f674e3e3 · outbound

This paper cites Learning fine-grained bimanual manipulation with low-cost hardware.arXiv preprint, 2023.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Learning fine-grained bimanual manipulation with low-cost hardware.arXiv preprint, 2023

Reference 63

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:b307a9dfe6bde36b0fdfa497aba9cf56cfb39211685276bc62030a1bba89ac0c

Observation de4956e3-5cac-4f76-a057-c2e3540d1766 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, 2023.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, 2023

Reference 64

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:38cc7af01992f211dfea5ebedcc54ada1803afc62976cc10a236aafbe7ae8519

Observation 700b4bb0-6ce4-46cf-90ed-7ce402801495 · outbound

This paper cites Smolvla: A vision-language-action model for affordable and efficient robotics.arXiv preprint, 2025.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning Smolvla: A vision-language-action model for affordable and efficient robotics.arXiv preprint, 2025

Reference 65

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source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:aa05478619b125af2fb7376724cb952623e93d02cb7e6cef0622ad6d14c2f398

Pith citing papers

No inbound Pith citation observations are available.