Paper Citation Record · LEDGER

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2605.21710.

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

pith.paper-citation-record.v1
2605.21710 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T09:11:01.949677Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

verified exact1
verified fuzzy36
unresolved1
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0888422d-63bc-4dbc-a115-664936bb8b68 · outbound

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

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Gr00t n1: An open foundation model for generalist humanoid robots

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.425238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3f2ab65b-c843-4da0-b70b-32544123fa96 · outbound

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

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Mimicgen: A data generation system for scalable robot learning using human demonstrations

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.372797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d3498efa-91a5-41e5-b331-dfb83cdd529e · outbound

This paper cites Dexmimicgen: Automated data generation for bimanual dex- terous manipulation via imitation learning.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Dexmimicgen: Automated data generation for bimanual dex- terous manipulation via imitation learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.445120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c08dc30c-a119-499e-98be-b4aa14c77d24 · outbound

This paper cites Physics-driven data generation for contact- rich manipulation via trajectory optimization.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Physics-driven data generation for contact- rich manipulation via trajectory optimization

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.389945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ea27be5b-f6e2-4e52-a311-13a0089a9cda · outbound

This paper cites Spider: Scalable physics-informed dexterous retargeting.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Spider: Scalable physics-informed dexterous retargeting

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.434290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3c9e5e21-a308-4cf3-8a47-55b4a0aeeb35 · outbound

This paper cites Curating demonstra- tions using online experience.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Curating demonstra- tions using online experience

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.437370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6ae52d25-1980-4f0e-af62-4d0fa3381c54 · outbound

This paper cites Cupid: Curating data your robot loves with influence functions.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Cupid: Curating data your robot loves with influence functions

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.351674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 13119af1-5b0f-4c7f-8f9f-cdcced996222 · outbound

This paper cites Datamil: Selecting data for robot imitation learning with datamodels.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Datamil: Selecting data for robot imitation learning with datamodels

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.339479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c89e6515-6912-4722-ada1-247cff14546d · outbound

This paper cites Datarater: Meta-learned dataset curation.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Datarater: Meta-learned dataset curation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.342505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0409ee7a-3801-494b-ae52-ba539a7243ac · outbound

This paper cites Scizor: A self-supervised approach to data curation for large-scale imitation learning.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Scizor: A self-supervised approach to data curation for large-scale imitation learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.440354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d761e89b-9af8-4923-b98c-1b85d4daa308 · outbound

This paper cites Lucid-xr: An extended- reality data engine for robotic manipulation.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Lucid-xr: An extended- reality data engine for robotic manipulation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.428585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 074381a5-ea6f-4871-81aa-a469f6f7d234 · outbound

This paper cites Anytask: an automated task and data generation framework for advancing sim-to-real policy learning.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Anytask: an automated task and data generation framework for advancing sim-to-real policy learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.431170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 42040153-2b24-41a8-831a-8c1a4de78be5 · outbound

This paper cites Skillmimicgen: Automated demonstration generation for efficient skill learning and deployment.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Skillmimicgen: Automated demonstration generation for efficient skill learning and deployment

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.408950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 429d97c8-22eb-4637-8b58-ef9e2bda2874 · outbound

This paper cites Lodestar: Long-horizon dexterity via synthetic data augmentation from human demonstrations.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Lodestar: Long-horizon dexterity via synthetic data augmentation from human demonstrations

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.411556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 70dc642a-f048-4b97-becd-55946175e029 · outbound

This paper cites Demogen: Synthetic demonstration generation for data-efficient visuomotor policy learning.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Demogen: Synthetic demonstration generation for data-efficient visuomotor policy learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.406407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4c909707-d759-4095-ae20-0bc615aa00c3 · outbound

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

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Real2render2real: Scaling robot data without dynamics simulation or robot hardware

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.414158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 64245713-77c1-4cbe-9c48-fbf393f2b625 · outbound

This paper cites Gensim2: Scaling robot data generation with multi-modal and reason- ing llms.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Gensim2: Scaling robot data generation with multi-modal and reason- ing llms

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.417120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 06cca5f4-4c70-41a7-ae72-5dd7662c07c0 · outbound

This paper cites Scissor- bot: Learning generalizable scissor skill for paper cutting via simulation, imitation, and sim2real.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Scissor- bot: Learning generalizable scissor skill for paper cutting via simulation, imitation, and sim2real

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.420002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0409a00b-53d9-4e77-95b9-faeb7a663e21 · outbound

This paper cites Tiebot: Learning to knot a tie from visual demonstration through a real- to-sim-to-real approach.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Tiebot: Learning to knot a tie from visual demonstration through a real- to-sim-to-real approach

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.398480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e9447a63-10f2-41b4-b260-8720ce35ce77 · outbound

This paper cites Robot see robot do: Imitating articulated object manip- ulation with monocular 4d reconstruction.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Robot see robot do: Imitating articulated object manip- ulation with monocular 4d reconstruction

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.401383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cc6b2536-8f4c-433b-a505-7b4f29ce2334 · outbound

This paper cites Momagen: Generating demonstrations under soft and hard constraints for multi-step bimanual mobile manipulation.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Momagen: Generating demonstrations under soft and hard constraints for multi-step bimanual mobile manipulation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.392826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 02ceab59-31d4-400b-b6af-49a4e1a6c977 · outbound

This paper cites Human-in-the-loop task and motion planning for imitation learning.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Human-in-the-loop task and motion planning for imitation learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.384417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 94ac1a90-6d2a-4521-9722-7e1563dd353e · outbound

This paper cites Rac: Robot learning for long-horizon tasks by scaling recovery and correction.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Rac: Robot learning for long-horizon tasks by scaling recovery and correction

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.387148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 07aea5b6-ed3d-4720-9a9b-23bbb2e92a1f · outbound

This paper cites Robot-gated interactive imitation learning with adaptive intervention mechanism.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Robot-gated interactive imitation learning with adaptive intervention mechanism

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.395485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bc6ef21c-e6fc-4e0b-8bc4-c36a0f0decb1 · outbound

This paper cites Human-in-the-Loop Imitation Learning using Remote Teleoperation.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Human-in-the-Loop Imitation Learning using Remote Teleoperation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:11:21.001930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7a5a495a-e82b-40d6-9a19-f290777d26d6 · outbound

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

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration What matters in learning from offline human demonstrations for robot manipulation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.375760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ff05f159-bba4-42c7-9d88-be4b4aaf9029 · outbound

This paper cites Action chunking and exploratory data collection yield exponential improvements in behavior cloning for continuous control.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Action chunking and exploratory data collection yield exponential improvements in behavior cloning for continuous control

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.363799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ab9e0818-b249-4688-aba2-250def9c5f7d · outbound

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

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration A reduction of imitation learning and structured prediction to no-regret online learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.366974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 88e4bedf-4217-48a3-bf1a-9371021dfca0 · outbound

This paper cites Robust offline imitation learning from diverse auxiliary data.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Robust offline imitation learning from diverse auxiliary data

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.369640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 96d791c8-e843-4ff4-bfb0-54cbb8d9ff25 · outbound

This paper cites Discriminator-guided model-based offline imitation learning.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Discriminator-guided model-based offline imitation learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.378784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 98048030-773e-4940-944e-3e502e1201fe · outbound

This paper cites an unresolved cited work.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-05-22T09:11:21.354834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b5e2b36b-b850-421c-ac4f-a2347c51e218 · outbound

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

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Learning fine-grained bimanual manipulation with low-cost hardware

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.357613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 560908fd-596d-4c7b-90f6-f17b03253b5d · outbound

This paper cites Deep residual learning for image recognition.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Deep residual learning for image recognition

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.360839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 54932f82-52bf-4cf3-af60-63c43030981b · outbound

This paper cites Gello: A general, low-cost, and intuitive teleoperation framework for robot manipulators.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Gello: A general, low-cost, and intuitive teleoperation framework for robot manipulators

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.381372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ff670bac-0702-486d-a8e7-8392db0f23d6 · outbound

This paper cites Isaac Sim.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Isaac Sim

Reference 35

Resolution: parse uncertain; raw_fallback, observed 2026-05-22T09:11:21.403682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ee572f93-d911-47c0-8195-bfb200074f8b · outbound

This paper cites Discrete cosine transform.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Discrete cosine transform

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.422568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d01f7f96-3f95-4989-99c5-c9c9a40aa798 · outbound

This paper cites Fast: Efficient action tokenization for vision-language-action models.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Fast: Efficient action tokenization for vision-language-action models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.442767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 696f327e-46b0-4d6e-b213-3ff9a6aeb34d · outbound

This paper cites Determinantal point processes for machine learning.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Determinantal point processes for machine learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.345293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c0c9849b-7f19-4429-9a19-c815d63f628f · outbound

This paper cites Faster greedy MAP inference for determinantal point processes.

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration Faster greedy MAP inference for determinantal point processes

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T09:11:21.348656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.