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Paper Citation Record · LEDGER

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

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 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 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:26:51.157396Z

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

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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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-17T20:55:52.109166Z digest=sha256:bd7e7fd835679536128e79001b75dc8011b96653133259e51d35de3a5575ce8f

Observation 4a052639-0173-4342-893c-489e7a0babde · inbound

Steerable Scene Generation with Post Training and Inference-Time Search cites this paper.

Steerable Scene Generation with Post Training and Inference-Time Search Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T23:26:51.157396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:26:51.157396Z digest=sha256:593d80f5919d199f61efd96bbda6549c8b6b25ccce3020a460fdfeb01d88d848

Observation b2999abe-3644-42ee-828c-04641d630f1a · inbound

DataMIL: Selecting Data for Robot Imitation Learning with Datamodels cites this paper.

DataMIL: Selecting Data for Robot Imitation Learning with Datamodels Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 55

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no resolver link, observed 2026-08-15T21:34:17.205569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:34:17.205569Z digest=sha256:6340551d1f4952b62c4b8bd8ba4b20190ccbcfc5d87164a0b177b8e988a410b9

Observation 239bc6d7-fb8a-430a-bb06-09678c78ef5d · inbound

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes cites this paper.

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 32

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unresolved
no resolver link, observed 2026-08-07T00:23:18.763362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:23:18.763362Z digest=sha256:c1784bec70cd29900ea0db25c2ddf56e7e4f4c3e8bd0986bc8c2db88b67ef41c

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T04:32:56.397350Z digest=sha256:1982963091a1eddf371d32d4b5b8173c023b9fdc39fd1411885298a02648a4b7

Observation 46789b98-58c6-4b08-844e-251cbf232d7a · inbound

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations cites this paper.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T17:08:57.617889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:08:57.617889Z digest=sha256:78b6d905f268fb7c31be696e7fbb0f909a5355a4b4d93121e5e9d3e6bc3d1ae1

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:20:20.808116Z digest=sha256:cb1e2621d0022f16d765d178cf36ad5040f5768c1c54e66d1aa807409fa189af

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.

source=pdf_text observed=2026-08-02T23:48:59.417592Z digest=sha256:75ad45daa41cda73f420b74177d114190d4bf366692781fdd8e0e8cc7d633116

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.

source=pdf_text observed=2026-08-02T21:09:32.371957Z digest=sha256:973ab6f0fd57db58851dfdb2c272014fd04b014de11100a509d9cbcbbd2e730b

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T12:29:38.306670Z digest=sha256:d6c3ea895927862d5d6f11e62550e85d8f54aa8f7efd2acf6725c28f6c3eeb68

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T08:45:46.944379Z digest=sha256:cf4d61fb142525c4e72ff7244e99f2b2179b03c5e48f1b7162aef8262cb1d21d

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T16:36:52.555583Z digest=sha256:dc3f6e5fff8725e6c412a2fb61eb911683728c2191feb1493087dab8426c0aae

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T18:05:27.871988Z digest=sha256:f121546bfe5ead62b3513c4e633487f20ae0a6b551cc9ab52820d864bdc9de2d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T13:06:35.282837Z digest=sha256:4a99097fa63c6d768af5342d6f443e4b7178460323d83ac490e5d3db9d7f0bfd

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T09:51:56.563479Z digest=sha256:8db7c8819c07385942fbe74a448a9c968341202e6c2d266dcacf61bdea32a78e

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T09:52:38.167538Z digest=sha256:67708c5df1dd3aab2ecebcf4ddd836506011f90534d0e40d11b8c8992813d3e2

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T14:07:31.139419Z digest=sha256:25b4ae645666d48724e16821e41b7edb4c11ff72d0a616b48f6bb636da17802b

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T08:45:04.483217Z digest=sha256:65183555a52291e3f6536de1432104d70223b975af308fb3a5bcae1a52b99ee2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T04:06:08.614269Z digest=sha256:f4f7ba5a9f54842f6431cf254f195ee9800529cb5e5a78a2cd22b1a215b6a7ed

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.

source=pdf_text observed=2026-07-12T11:29:13.380384Z digest=sha256:8f57210748415e228f4ee680abac157ebfb6c3015b2e55670e08f57382a7d82c

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

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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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-30T01:28:29.441778Z digest=sha256:c50161af51c47ea362e1e2562a695d80a257026ac5c2a414c8a931494d328844

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.

source=pdf_text observed=2026-08-01T07:04:09.032208Z digest=sha256:2064678e15d9041742cb4b7ad0393ab67bd96a041cf90150257ccf56eea7f27f