Paper Citation Record · LEDGER

Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2503.24361.

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

pith.paper-citation-record.v1
2503.24361 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:20:20.808116Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 613c92c5-7e88-4e5c-ad2b-2cba8d31845e · 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 Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:55:52.230229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3682784c-062a-4ee2-b93c-1fdcf08f5794 · inbound

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation cites this paper.

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:32:56.805944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 531e4538-d394-48d9-a7ab-0affe19962a4 · inbound

HERMES: Human-to-Robot Embodied Learning from Multi-Source Motion Data for Mobile Dexterous Manipulation cites this paper.

HERMES: Human-to-Robot Embodied Learning from Multi-Source Motion Data for Mobile Dexterous Manipulation Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T15:20:20.808116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df251004-bb0e-4d1d-a5a7-ebe2c30610a1 · inbound

Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models cites this paper.

Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T23:48:59.417592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0cefec3-4792-4772-bb4a-f8fa7aa55f4b · inbound

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics cites this paper.

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T21:09:32.371957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b52697fc-258c-4fd1-beb3-86b1909729ce · inbound

A Mechanistic Analysis of Sim-and-Real Co-Training in Generative Robot Policies cites this paper.

A Mechanistic Analysis of Sim-and-Real Co-Training in Generative Robot Policies Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T12:30:22.710094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 54912ee8-772f-488b-a51a-8d0b29e5c513 · inbound

From Seeing to Simulating: Generative High-Fidelity Simulation with Digital Cousins for Generalizable Robot Learning and Evaluation cites this paper.

From Seeing to Simulating: Generative High-Fidelity Simulation with Digital Cousins for Generalizable Robot Learning and Evaluation Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:48:01.821283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c5f6929a-dfb1-4ec2-a278-2b2b62c8984b · inbound

HumanoidMimicGen: Data Generation for Loco-Manipulation via Whole-Body Planning cites this paper.

HumanoidMimicGen: Data Generation for Loco-Manipulation via Whole-Body Planning Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:43:40.647663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c7b5111b-c812-4459-be0d-5c29be62dabb · 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 Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:37:27.721909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 044fb3d5-4a96-4403-be77-376ca359ce45 · inbound

A Practical Recipe Towards Improving Sim-and-Real Correlation for VLA Evaluation cites this paper.

A Practical Recipe Towards Improving Sim-and-Real Correlation for VLA Evaluation Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:47:41.083631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 524b3ff2-8ad7-47c5-af55-52d60c8dadf5 · inbound

TacCoRL: Integrating Tactile Feedback into VLA via Simulation cites this paper.

TacCoRL: Integrating Tactile Feedback into VLA via Simulation Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:48:02.247545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 092556ca-66b8-4c47-a17b-cd2d687c482e · inbound

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics cites this paper.

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:37:57.235504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8506a2d2-2117-458d-be54-eca21963b9c3 · inbound

Imitation from Heterogeneous Demonstrations using Grounded Latent-Action World Models cites this paper.

Imitation from Heterogeneous Demonstrations using Grounded Latent-Action World Models Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:49:38.526771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3334b735-9e5d-4783-a60a-b228af55e1b0 · inbound

HiL-ResRL: A Model-Agnostic Finetuning Adapter via Human-in-the-loop Residual Reinforcement Learning cites this paper.

HiL-ResRL: A Model-Agnostic Finetuning Adapter via Human-in-the-loop Residual Reinforcement Learning Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:45.614751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a5b3759b-33a4-4ba7-850a-7255dd3dfe16 · inbound

SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation cites this paper.

SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-01T17:15:50.855028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b0907471-85b2-442e-ab0b-4f6e3c55cb68 · inbound

SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation cites this paper.

SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-12T11:29:13.380384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5c2eaea-dc8a-4516-b7e3-eef193978ab8 · inbound

FADA: Few-Shot Domain Adaptation via Dynamics Alignment for Humanoid Control cites this paper.

FADA: Few-Shot Domain Adaptation via Dynamics Alignment for Humanoid Control Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T01:34:09.858551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e71426a6-3960-42c8-86fb-b99e7090186b · inbound

Scale Up Strategically: Learning Compositional Generalization via Bias-Aware Evaluation and Data Collection for Robotic Manipulation cites this paper.

Scale Up Strategically: Learning Compositional Generalization via Bias-Aware Evaluation and Data Collection for Robotic Manipulation Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T07:04:09.032208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.