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Paper Citation Record · LEDGER

DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 39 inbound Pith citation observations for arXiv:2502.16932.

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

pith.paper-citation-record.v1
2502.16932 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 39 of 39 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:31:56.040498Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:10:07.748486Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 506c465b-881c-4ec0-a5ed-3e88c513e8e7 · inbound

GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data cites this paper.

GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 45

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arxiv_id, observed 2026-05-17T20:55:52.219097Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation dcddc091-71f3-4cda-af52-5e9141b26a47 · inbound

DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration cites this paper.

DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:31:56.040498Z digest=sha256:e6189db81212849b4a2de40cb22560ece7caf579d1504dc45ad800a683f7ff31

Observation d2147b9a-7dee-4474-a5a2-2be8f7692f7a · inbound

TypeTele: Releasing Dexterity in Teleoperation by Dexterous Manipulation Types cites this paper.

TypeTele: Releasing Dexterity in Teleoperation by Dexterous Manipulation Types DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 28

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no resolver link, observed 2026-08-06T20:47:35.279549Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:47:35.279549Z digest=sha256:17a1a524f40ab3d59ae1fa467f9c5ee8f178bde22f25908d0f0073a101f592d6

Observation 6086e1ce-a0bd-4e8e-833c-de48ccc18acd · inbound

Constraint-Preserving Data Generation for Visuomotor Policy Learning cites this paper.

Constraint-Preserving Data Generation for Visuomotor Policy Learning DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 10

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no resolver link, observed 2026-08-06T01:05:49.444320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T01:05:49.444320Z digest=sha256:acbd963d48171ea936c8d18f3a764c8862d22488ebc2e345f07aab81d2b0cf99

Observation 57fc8758-a9ee-4e6e-8c35-7580219e8c40 · inbound

Learning in ImaginationLand: Omnidirectional Policies through 3D Generative Models (OP-Gen) cites this paper.

Learning in ImaginationLand: Omnidirectional Policies through 3D Generative Models (OP-Gen) DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 4

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no resolver link, observed 2026-08-05T00:02:31.065365Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:02:31.065365Z digest=sha256:21ff0c42aa5ebd952e599da3fc99a7cea31801dbb9e5e5193eb847635dc69d50

Observation fe9b56af-6cbd-4d03-8d25-1c6aeb9f265e · inbound

Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data cites this paper.

Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 29

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arxiv_id, observed 2026-05-18T11:11:17.998083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T11:07:57.386640Z digest=sha256:a2172df0946335cd18c10c1f410080eca9415f59c7aad8f1bc63f5800a588707

Observation bbcffaf7-cc06-42cf-8fc0-df449b586a63 · inbound

R2RGEN: Real-to-Real 3D Data Generation for Spatially Generalized Manipulation cites this paper.

R2RGEN: Real-to-Real 3D Data Generation for Spatially Generalized Manipulation DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 25

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arxiv_id, observed 2026-05-18T08:51:09.032892Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T08:46:51.278024Z digest=sha256:fde562b3a34d9cdc21f5dc737de1094286f0a307ebb53106ea1fec5ea74092ab

Observation 4da4043e-1a93-4f40-9f60-69d62cd2e12b · inbound

RESample: A Robust Data Augmentation Framework via Exploratory Sampling for Robotic Manipulation cites this paper.

RESample: A Robust Data Augmentation Framework via Exploratory Sampling for Robotic Manipulation DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 11

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arxiv_id, observed 2026-05-18T06:10:57.834154Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T06:10:47.309028Z digest=sha256:bf6dea384058d97e26ddf9008bf0ae4ecbb9c0336e90e774a377318001c794f5

Observation 93bef79c-1315-4c4c-870c-030a324d5ae3 · inbound

DynaMimicGen: A Data Generation Framework for Robot Learning of Dynamic Tasks cites this paper.

DynaMimicGen: A Data Generation Framework for Robot Learning of Dynamic Tasks DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 24

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no resolver link, observed 2026-08-03T21:14:41.795842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:14:41.795842Z digest=sha256:ada6450f41bc989475250f1e94f0f77fc1bf25e7dcdfad91a5c36f492a8b155c

Observation 16891667-c7c6-424d-ac1b-dc9efaed8662 · inbound

IGen: Scalable Data Generation for Robot Learning from Open-World Images cites this paper.

IGen: Scalable Data Generation for Robot Learning from Open-World Images DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 62

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arxiv_id, observed 2026-05-17T02:58:54.862937Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T02:58:36.214948Z digest=sha256:0014ddce07662c7cbe4f8093b7d451c600d9841ed5338414d879733518bbcdb2

Observation 65c7da27-e028-4a13-8ae5-87e0f0c546a8 · inbound

ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning cites this paper.

ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:29:16.681738Z digest=sha256:e9b2a91802c70ddacb21ae62d5e4889285f13620e2c995c693ccd52c9478283e

Observation a0dd390a-bbeb-4eea-99bf-26f82f600257 · inbound

TwinRL: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation cites this paper.

TwinRL: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 61

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arxiv_id, observed 2026-05-21T13:14:10.921217Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c67dd0ee-a9a4-4fca-a76c-28635743ec23 · inbound

ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors cites this paper.

ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 40

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arxiv_id, observed 2026-05-15T09:39:55.134266Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:37:02.168898Z digest=sha256:7d56c1093b637478cd6611cb8f6dfce7f687d43f522c65493c8833d8b9803d04

Observation e8f138b0-ae3b-4bde-82d8-69ab04a526c0 · inbound

Referring-Aware Visuomotor Policy Learning for Closed-Loop Manipulation cites this paper.

Referring-Aware Visuomotor Policy Learning for Closed-Loop Manipulation DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 44

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arxiv_id, observed 2026-05-10T22:20:48.165522Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T19:59:02.039358Z digest=sha256:35a10bee0990b17570294d02a9a34efbdc98111640f024787971f9152279af86

Observation e16c1068-34a5-4004-a95a-76b15e47a710 · inbound

Generative Simulation for Policy Learning in Physical Human-Robot Interaction cites this paper.

Generative Simulation for Policy Learning in Physical Human-Robot Interaction DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 23

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arxiv_id, observed 2026-05-11T07:35:57.552406Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c94cee21-df02-4b08-be68-d568de2ed61b · inbound

AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Afford Correspondence cites this paper.

AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Afford Correspondence DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 33

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arxiv_id, observed 2026-05-11T09:00:59.100934Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4a60f559-490f-4451-b686-b99f90066f32 · inbound

AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Afford Correspondence cites this paper.

AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Afford Correspondence DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 33

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no resolver link, observed 2026-07-12T22:32:10.188246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:32:10.188246Z digest=sha256:22372e9903d94d25f7bc3cb54ac5c5a7c845218c21e6407a21abec9af1a88c17

Observation bcdce1be-22d6-4e59-b0bb-3f3ce2dec1fc · inbound

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation cites this paper.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 52

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arxiv_id, observed 2026-05-11T09:11:01.764026Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b9810f74-510d-4702-8660-bfcc309701f7 · inbound

DockAnywhere: Data-Efficient Visuomotor Policy Learning for Mobile Manipulation via Novel Demonstration Generation cites this paper.

DockAnywhere: Data-Efficient Visuomotor Policy Learning for Mobile Manipulation via Novel Demonstration Generation DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 19

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arxiv_id, observed 2026-05-10T10:19:20.172854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T10:17:26.903231Z digest=sha256:bd616c074cdb69ef1add49c3af60ac8a5d4b2b95b2a781ba2c29b7276f18155a

Observation c25447f2-ac5a-4d26-b2b7-bb8896c506da · inbound

One-Shot Cross-Geometry Skill Transfer through Part Decomposition cites this paper.

One-Shot Cross-Geometry Skill Transfer through Part Decomposition DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 20

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arxiv_id, observed 2026-05-10T10:44:38.270334Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 19e208ae-8747-4ab1-9e27-f79286e92635 · inbound

Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines cites this paper.

Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 25

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arxiv_id, observed 2026-05-11T19:36:14.165714Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:30:49.414976Z digest=sha256:38a2e579c889d6d6eff6b15a8d342ccee79a84eef2024d391e69d4fb0ad9b856

Observation f3867fc7-d87b-4246-8e52-02c5ab00233d · inbound

3D Generation for Embodied AI and Robotic Simulation: A Survey cites this paper.

3D Generation for Embodied AI and Robotic Simulation: A Survey DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 182

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arxiv_id, observed 2026-05-12T09:01:25.392864Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d0e5a37a-1a2e-4b14-bbc4-46bcce22291e · inbound

3D Generation for Embodied AI and Robotic Simulation: A Survey cites this paper.

3D Generation for Embodied AI and Robotic Simulation: A Survey DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 182

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arxiv_id, observed 2026-05-11T22:06:12.797808Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T03:31:05.311070Z digest=sha256:2fc857534d6ddb19ca9aeee86fdef3141dd0ffba743b4d7fb2db179072ec1977

Observation f1256021-5f64-410f-aa8e-089000661924 · inbound

3D Generation for Embodied AI and Robotic Simulation: A Survey cites this paper.

3D Generation for Embodied AI and Robotic Simulation: A Survey DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 182

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arxiv_id, observed 2026-05-11T04:05:58.301097Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T01:56:24.510913Z digest=sha256:9c0f97e75c724cafa7da7943943dbefb57586eadb8f0b883b7232cfd215d44b7

Observation d1005c13-9dfe-4b5c-a74f-0e95e6dcf9cc · inbound

A Principled Approach for Creating High-fidelity Synthetic Demonstrations for Imitation Learning cites this paper.

A Principled Approach for Creating High-fidelity Synthetic Demonstrations for Imitation Learning DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 32

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arxiv_id, observed 2026-05-11T16:51:09.108924Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f8c40941-3e37-4004-85a9-b467c611a2bf · inbound

SID: Sliding into Distribution for Robust Few-Demonstration Manipulation cites this paper.

SID: Sliding into Distribution for Robust Few-Demonstration Manipulation DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 51

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arxiv_id, observed 2026-05-14T19:17:50.288232Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T19:15:45.167147Z digest=sha256:8aac9db1f31e047f5fed86f058e8f2187270aae73a7a6f646e9ae141befc4a46

Observation acb6d00f-dc5e-43ab-9fa2-0a0a4e2bcd60 · inbound

Video2Sim2Real: Full-Stack Autonomous Dexterous Skill Acquisition from a Single Human Video cites this paper.

Video2Sim2Real: Full-Stack Autonomous Dexterous Skill Acquisition from a Single Human Video DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 61

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arxiv_id, observed 2026-07-02T23:37:27.695272Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T18:05:27.871988Z digest=sha256:5f0547d428f73574828c81ed3acf164a4ffd940903d7ef48a64c3cd071f76405

Observation 2620c298-47bd-4365-b96c-34f6e6b39b67 · inbound

ManiSplat: Manipulation Trajectory Synthesis from Monocular Video via Decoupled 3D Gaussian Splatting cites this paper.

ManiSplat: Manipulation Trajectory Synthesis from Monocular Video via Decoupled 3D Gaussian Splatting DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 18

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arxiv_id, observed 2026-07-03T04:27:36.651796Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T13:55:43.905407Z digest=sha256:98416d26b04c55ae86333ef9300cb8e469a6d1e4d80063a026ee8a913841029e

Observation ce619c6d-05b9-44d3-a52a-5ee53e314927 · inbound

One Demo is Worth a Thousand Trajectories: Action-View Augmentation for Visuomotor Policies cites this paper.

One Demo is Worth a Thousand Trajectories: Action-View Augmentation for Visuomotor Policies DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 34

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arxiv_id, observed 2026-07-04T01:19:20.775871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T20:30:35.868879Z digest=sha256:0ea96442e86dde4622db598520a9de9b4e0e9f964e3649beb0ed58141b49ba6b

Observation b9d37f03-a629-48e6-b0fb-3dc90cddeae9 · inbound

MirrorDuo: Reflection-Consistent Visuomotor Learning from Mirrored Demonstration Pairs cites this paper.

MirrorDuo: Reflection-Consistent Visuomotor Learning from Mirrored Demonstration Pairs DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 2

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arxiv_id, observed 2026-07-04T03:59:32.770103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T17:29:14.897170Z digest=sha256:f9782b24efa903a8f51148d8e8b621d69ee8ad7469db5c886dc27516eb2d13a1

Observation 7a8d484a-5937-4fa1-8108-2cf4fff5055b · inbound

Inductive Generalization for Robotic Manipulation cites this paper.

Inductive Generalization for Robotic Manipulation DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 53

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arxiv_id, observed 2026-07-04T06:09:36.788038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T14:52:15.202629Z digest=sha256:f55c9a45542a081182dbe4f396de51c81bc2cf15511ed75810fb5e6698016176

Observation b920928d-f6fd-4b21-b7aa-36179c9e6244 · inbound

Assistron: Bayesian Shared Autonomy with Off-the-shelf Vision-Language-Action Models cites this paper.

Assistron: Bayesian Shared Autonomy with Off-the-shelf Vision-Language-Action Models DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 24

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arxiv_id, observed 2026-07-04T10:39:45.724735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T08:36:25.450562Z digest=sha256:1dd3c0fe5d480e9d5f8b04674b7c8d9e5bb1027ff52d56d86678d92074668f05

Observation e66d91d8-7e5b-4290-bdde-95ecd9b91d31 · inbound

TSD: A Physics-Inspired Trajectory Saliency Detector for Efficient Imitation Learning cites this paper.

TSD: A Physics-Inspired Trajectory Saliency Detector for Efficient Imitation Learning DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-04T11:19:49.082712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T08:06:00.057747Z digest=sha256:918e0dace68219a3e832de49510816c5e1457d4b5bc260dd5f2df7d865f8ec20

Observation 20c5c28b-c069-4bc5-ba6d-93d4db4d971d · inbound

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning cites this paper.

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

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:10:07.750236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T20:38:40.242221Z digest=sha256:f652efb01918dbc69cf28df8a2df27a7560add1a3d98b099f18c12611270e954

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

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning cites this paper.

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

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:13:53.033817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:33dad1e9f83b0c2b93dc028375f4efd165fea42d72c902ad5f1b4106a084cf08

Observation e3b57ce5-5d6d-42bd-ba2d-632dc4a39b0a · inbound

WorldSample: Closed-loop Real-robot RL with World Modelling cites this paper.

WorldSample: Closed-loop Real-robot RL with World Modelling DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:58:02.434657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T10:57:40.128651Z digest=sha256:b2d8cbcbe9e4ee439c2ed4c7c69744ea5070e2c69246cfd7719bf59dba85a0bf

Observation 60456fd6-11b2-49d4-8aea-d39bf8e09799 · inbound

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation cites this paper.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T06:06:58.565741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T06:06:58.565741Z digest=sha256:9ee18cbc0b6ad7dfff7b76944f02067ad5ffe4a5f30c5f28cd74001d3654ced7

Observation b799e91b-8215-41cd-841b-2661fe3a4673 · inbound

Static In, Dynamic Out: Counterfactual Action Augmentation for Moving Object Manipulation cites this paper.

Static In, Dynamic Out: Counterfactual Action Augmentation for Moving Object Manipulation DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-31T23:37:16.146377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:37:16.146377Z digest=sha256:40a682c09ebf53e8cd2c8f9fc7a96373291d07774f66e8f1559a88efcb1dd6fb

Observation 1634343c-72c1-40c0-8d93-dd3f1efd1e6b · inbound

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration cites this paper.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:31.847231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:31.847231Z digest=sha256:3b6a06881d1e56dcf24a958725403298f924761a586798d204a71a005a053502