Paper Citation Record · LEDGER

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model

As of 14 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2506.18779.

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

pith.paper-citation-record.v1
2506.18779 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:20:33.526878Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T10:54:40.275899Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T10:58:14.652125Z

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation 8f6e6a21-e8bd-42a8-87c2-16c25dbfc14e · outbound

This paper cites Toward Robotic Manipulation,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Toward Robotic Manipulation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:40.114829Z

Source-reported events for the cited work

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Observation 5766fa81-49e9-4bb4-aa12-f0e299ef86a5 · outbound

This paper cites Robotic Manipulation and Sensing of Deformable Objects in Domestic and Industrial Applications: A Survey,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Robotic Manipulation and Sensing of Deformable Objects in Domestic and Industrial Applications: A Survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:39.956649Z

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Observation c75516c3-cc58-46ac-8938-29b9bd8c7ced · outbound

This paper cites DefGraspSim: Simulation-based grasping of 3D deformable objects,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model DefGraspSim: Simulation-based grasping of 3D deformable objects,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:39.784077Z

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Observation 76931988-80f3-4167-a81a-f9976eabde15 · outbound

This paper cites Challenges and outlook in robotic manipulation of deformable objects,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Challenges and outlook in robotic manipulation of deformable objects,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:39.534176Z

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Observation 5ceb6af1-d0a4-460f-82ec-fe63d828ace2 · outbound

This paper cites Learning to manipulate deformable objects without demonstrations,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Learning to manipulate deformable objects without demonstrations,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:39.374737Z

Source-reported events for the cited work

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Observation 06ff675e-f921-4da5-b405-fc4003f80c19 · outbound

This paper cites Deformernet: Learning bimanual manipulation of 3d deformable objects,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Deformernet: Learning bimanual manipulation of 3d deformable objects,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:39.069688Z

Source-reported events for the cited work

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Observation bc71a51e-279a-405e-ba5c-c61fb1f8cd96 · outbound

This paper cites Defgoalnet: Contextual goal learning from demonstrations for deformable object manipulation,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Defgoalnet: Contextual goal learning from demonstrations for deformable object manipulation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:38.897417Z

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Observation a2040a45-a4f4-4c30-9603-40e1ef0bd438 · outbound

This paper cites Denoising diffusion probabilistic models,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Denoising diffusion probabilistic models,

Reference 8

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Observation c5372a48-a3b6-4a94-ae58-c12635a1e516 · outbound

This paper cites Multi- fingered grasp planning via inference in deep neural networks: Outper- forming sampling by learning differentiable models,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Multi- fingered grasp planning via inference in deep neural networks: Outper- forming sampling by learning differentiable models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:38.673138Z

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Observation 2f2109ea-3eda-4962-9166-0498c8007696 · outbound

This paper cites 6-dof graspnet: Variational grasp generation for object manipulation,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model 6-dof graspnet: Variational grasp generation for object manipulation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:38.576115Z

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Observation 1764a601-b607-4102-b20a-04d346bdfee9 · outbound

This paper cites 6-dof grasping for target-driven object manipulation in clutter,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model 6-dof grasping for target-driven object manipulation in clutter,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:38.448260Z

Source-reported events for the cited work

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Observation 5c9beb58-6305-43a4-ad80-907a76ef2f02 · outbound

This paper cites Self-supervised 6D Object Pose Estimation for Robot Manipulation,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Self-supervised 6D Object Pose Estimation for Robot Manipulation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:38.252243Z

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Observation 3959a003-b06f-4dee-b867-f3fb99724dd2 · outbound

This paper cites Multi-fingered active grasp learning,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Multi-fingered active grasp learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:38.126111Z

Source-reported events for the cited work

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Observation 3e24f3fa-e855-4061-9478-e280b5069992 · outbound

This paper cites Learning continuous 3d reconstructions for geometrically aware grasping,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Learning continuous 3d reconstructions for geometrically aware grasping,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:37.977117Z

Source-reported events for the cited work

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Observation 97a747e3-dc8e-4470-a943-41fb13d2905e · outbound

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

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model RT-1: Robotics Transformer for Real-World Control at Scale

Reference 15

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Observation 49fd9edc-61d7-4ceb-b523-1e8fa4f299bf · outbound

This paper cites Visually servoed deformation control by robot manipulators,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Visually servoed deformation control by robot manipulators,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:37.811817Z

Source-reported events for the cited work

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Observation 67451b07-c0d6-4ca7-a121-fa86d172bf28 · outbound

This paper cites Au- tonomous data-driven manipulation of unknown anisotropic deformable tissues using unmodelled continuum manipulators,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Au- tonomous data-driven manipulation of unknown anisotropic deformable tissues using unmodelled continuum manipulators,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:37.685979Z

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Observation 713626d4-e764-40cb-a081-6d2928efb25e · outbound

This paper cites Automatic 3-d manipulation of soft objects by robotic arms with an adaptive deformation model,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Automatic 3-d manipulation of soft objects by robotic arms with an adaptive deformation model,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:37.476840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2f06f87e-1e46-4c02-8690-8905dd8d5eb4 · outbound

This paper cites Model Predictive Manipulation of Compliant Objects with Multi-Objective Optimizer and Adversarial Network for Occlusion Compensation.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Model Predictive Manipulation of Compliant Objects with Multi-Objective Optimizer and Adversarial Network for Occlusion Compensation

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:20:33.901901Z

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Observation e2e9ffc8-725f-4b4b-8c35-d24b665a9674 · outbound

This paper cites A robust data-driven approach for online learning and manipulation of unmodeled 3-d heterogeneous compliant objects,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model A robust data-driven approach for online learning and manipulation of unmodeled 3-d heterogeneous compliant objects,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:37.204825Z

Source-reported events for the cited work

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Observation b75ecba3-9d65-43f7-9688-ca0dfbf04204 · outbound

This paper cites Lattice-based shape tracking and servoing of elastic objects.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Lattice-based shape tracking and servoing of elastic objects

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:20:33.771089Z

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Observation 6c8ebcd6-8296-400d-986b-ecc6406f9fb9 · outbound

This paper cites 3-D Deformable Object Manipulation Using Deep Neural Networks,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model 3-D Deformable Object Manipulation Using Deep Neural Networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:36.936412Z

Source-reported events for the cited work

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Observation b5592a03-ca3a-424a-8aef-63a0c29a7272 · outbound

This paper cites Fast 3D recognition and pose using the Viewpoint Feature Histogram,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Fast 3D recognition and pose using the Viewpoint Feature Histogram,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:36.766734Z

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Observation db395f2d-586d-46f3-aa37-fa9cbac48eda · outbound

This paper cites Learning visual shape control of novel 3d deformable objects from partial-view point clouds,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Learning visual shape control of novel 3d deformable objects from partial-view point clouds,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:36.507094Z

Source-reported events for the cited work

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Observation 7c6af73d-b16d-41a3-9eba-25d391836470 · outbound

This paper cites Pointconv: Deep convolutional networks on 3d point clouds,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Pointconv: Deep convolutional networks on 3d point clouds,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:36.283815Z

Source-reported events for the cited work

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Observation 9d967c3d-aa4b-4f8c-82c4-f5a7fcc7d514 · outbound

This paper cites 3d point cloud generative adversarial network based on tree structured graph convolutions,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model 3d point cloud generative adversarial network based on tree structured graph convolutions,

Reference 26

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Observation 2764da43-758c-4f26-b4f8-cc7211ae49e9 · outbound

This paper cites Learning rep- resentations and generative models for 3d point clouds,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Learning rep- resentations and generative models for 3d point clouds,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:32.418532Z

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Observation 4324b9e6-6e06-4005-b8a9-d2732b2cf0f0 · outbound

This paper cites A progressive conditional generative adversarial network for generating dense and colored 3d point clouds,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model A progressive conditional generative adversarial network for generating dense and colored 3d point clouds,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:35.864924Z

Source-reported events for the cited work

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Observation 3b238b10-fab6-4a72-86b6-badeee633026 · outbound

This paper cites C-flow: Conditional generative flow models for images and 3d point clouds,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model C-flow: Conditional generative flow models for images and 3d point clouds,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:35.605066Z

Source-reported events for the cited work

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Observation 57f2a397-d76c-4df8-892c-b21a310adc4a · outbound

This paper cites Large-scale scenario generation for robotic manipulation via conditioned generative models,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Large-scale scenario generation for robotic manipulation via conditioned generative models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:35.439820Z

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Observation e2392708-dbc5-4428-b9aa-d000809d1df2 · outbound

This paper cites Learning universal policies via text-guided video generation,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Learning universal policies via text-guided video generation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:35.267857Z

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Observation a416020f-ae27-44d1-b44b-0342acc23e94 · outbound

This paper cites What matters in language conditioned robotic imitation learning over unstructured data,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model What matters in language conditioned robotic imitation learning over unstructured data,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:35.066169Z

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Observation 8dc6af20-f410-47c1-85d8-5e21f04e4fe2 · outbound

This paper cites Bridging language and action: A survey of language-conditioned robot manipulation,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Bridging language and action: A survey of language-conditioned robot manipulation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:34.884701Z

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Observation fd1bf49a-8123-48f6-8ccd-56b352fc37e3 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via ac- tion diffusion,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Diffusion policy: Visuomotor policy learning via ac- tion diffusion,

Reference 34

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Observation 3860fd00-9347-4ca2-ad53-b256111f81aa · outbound

This paper cites Stein variational belief propagation for multi-robot coordination,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Stein variational belief propagation for multi-robot coordination,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:34.686907Z

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Observation d5251acc-047e-4a0b-95eb-e3ebbe494654 · outbound

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

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 36

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Observation 3f12e96b-1aaf-4548-b608-071fd80ee4ce · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 37

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Observation 7a6206e4-2e84-4a1a-ae3a-370afd45f416 · outbound

This paper cites Noise2Music: Text-conditioned Music Generation with Diffusion Models.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Noise2Music: Text-conditioned Music Generation with Diffusion Models

Reference 38

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This paper cites Diffusion probabilistic models for 3d point cloud generation,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Diffusion probabilistic models for 3d point cloud generation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:34.432153Z

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Observation 095cedbb-d210-4f61-aab0-e8dcf8e8c486 · outbound

This paper cites Auto-Encoding Variational Bayes.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Auto-Encoding Variational Bayes

Reference 40

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Observation bf5b0230-3f74-4488-a914-93639053ce24 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 41

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Observation 8e53f6d2-35fc-4be2-beb7-30286f4f4639 · outbound

This paper cites Long short-term memory,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Long short-term memory,

Reference 42

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Observation aaeca5d9-069e-4cab-975d-6726b4e7219d · outbound

This paper cites An open-source research kit for the da Vinci® Surgical System,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model An open-source research kit for the da Vinci® Surgical System,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:34.236328Z

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Observation d4ceeb05-9661-48dc-b01a-4a3f30f8848b · outbound

This paper cites GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning

Reference 44

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Observation f0d4d10c-22c9-4b7b-bb14-dfa82b76e61e · outbound

This paper cites Central airway obstruction,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model Central airway obstruction,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:34.023379Z

Source-reported events for the cited work

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Observation 8674bb9f-4e2a-4f4f-9d7a-e1db6f8bdfda · outbound

This paper cites A point set generation network for 3d object reconstruction from a single image,.

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model A point set generation network for 3d object reconstruction from a single image,

Reference 46

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Learning-Based Adaptive Control for Surgical Robotic Exposure Task on Deformable Tissues cites this paper.

Learning-Based Adaptive Control for Surgical Robotic Exposure Task on Deformable Tissues DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model

Reference 32

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