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Paper Citation Record · LEDGER

Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 40 inbound Pith citation observations for arXiv:2403.03949.

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

pith.paper-citation-record.v1
2403.03949 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 40 of 40 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 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:03:16.727408Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:29:59.793610Z

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 ab7c209e-66ee-42e9-a4df-4d0b04c2c6fb · inbound

Diffusion Policy Policy Optimization cites this paper.

Diffusion Policy Policy Optimization Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 93

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arxiv_id, observed 2026-05-16T08:48:15.014213Z

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.

source=pdf_text observed=2026-05-16T08:48:14.776754Z digest=sha256:e7334608678f4d86eeb7b14cccdb3e9035a2e817324ece5ac0199e45d82faa41

Observation 53be6ba4-0d61-4c3e-81dd-6bd5782e8c53 · inbound

What Matters in Building Vision-Language-Action Models for Generalist Robots cites this paper.

What Matters in Building Vision-Language-Action Models for Generalist Robots Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 39

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arxiv_id, observed 2026-05-17T21:37:50.784456Z

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.

source=pdf_text observed=2026-05-17T21:37:50.617813Z digest=sha256:228a72633bf3f61cdf9caceb10d014fe882e59388b88746e69a0a7078b6e620e

Observation 96cb6d3b-45f7-4b44-9cc0-5449c84b15c6 · inbound

A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards cites this paper.

A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 89

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no resolver link, observed 2026-08-08T00:03:16.727408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:16.727408Z digest=sha256:457e585b9b0de06c398d44d45a04d885b6566fe2fce971d696b2c9704e7bca98

Observation e829baf6-0aff-4441-b346-2fb0186b955b · inbound

Scan, Materialize, Simulate: A Generalizable Framework for Physically Grounded Robot Planning cites this paper.

Scan, Materialize, Simulate: A Generalizable Framework for Physically Grounded Robot Planning Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 40

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no resolver link, observed 2026-08-07T15:30:47.062546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:47.062546Z digest=sha256:f2c3da80c58006ad2abac07849a1ec4ea724b0def348223a4953d0beb783823e

Observation 92011b96-725c-40bb-9546-86c12af3169c · inbound

Robust and Safe Multi-Agent Reinforcement Learning with Communication for Autonomous Vehicles: From Simulation to Hardware cites this paper.

Robust and Safe Multi-Agent Reinforcement Learning with Communication for Autonomous Vehicles: From Simulation to Hardware Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 16

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verified exact
arxiv_id, observed 2026-05-19T11:22:16.546086Z

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.

source=pdf_text observed=2026-05-19T11:19:06.494832Z digest=sha256:da07468bef9b141b61de3f58b4f801a0dd2ab0d7d715b8b6559dd511c10937f5

Observation eb56646f-ebf2-4566-b39c-17b1ceb64217 · inbound

Hearing Hands: Generating Sounds from Physical Interactions in 3D Scenes cites this paper.

Hearing Hands: Generating Sounds from Physical Interactions in 3D Scenes Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 44

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no resolver link, observed 2026-08-07T04:42:03.345268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:03.345268Z digest=sha256:4e42582b58875f0196dd6aa41a69cad8994e50b54114f0df3360867dda7826b2

Observation ff4c716f-cc6d-4892-9889-7aff6367eb9d · inbound

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making cites this paper.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 62

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unresolved
no resolver link, observed 2026-08-07T00:57:29.750649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:29.750649Z digest=sha256:f75162bcaf7a899f65a593c7fd735f111423be2c490e8329580f688991f89d67

Observation f44988d2-0c53-4b8b-8a20-643b9b987659 · inbound

Prompting with the Future: Open-World Model Predictive Control with Interactive Digital Twins cites this paper.

Prompting with the Future: Open-World Model Predictive Control with Interactive Digital Twins Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.476651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.476651Z digest=sha256:54d35a44f6294ea4087f1db6069f1ea94d867cd6877fcccc07ff5db22c1a2edb

Observation 6a6d9936-f27f-4121-9e17-6715b23cb50f · inbound

ControlVLA: Few-shot Object-centric Adaptation for Pre-trained Vision-Language-Action Models cites this paper.

ControlVLA: Few-shot Object-centric Adaptation for Pre-trained Vision-Language-Action Models Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 17

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no resolver link, observed 2026-08-06T23:51:05.353073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.353073Z digest=sha256:067007d604ab4c52fcf72332c0c0f03fc575e63596f54eb938cb6d389ae6de69

Observation d246da9d-bc65-4a11-8486-638dd03bf2a3 · inbound

RoomCraft: Controllable and Complete 3D Indoor Scene Generation cites this paper.

RoomCraft: Controllable and Complete 3D Indoor Scene Generation Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 2024

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no resolver link, observed 2026-08-06T22:12:18.123936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:12:18.123936Z digest=sha256:754a8464b642aa345ab979dba15d85be403f93f2b1fdd94d59866fea57295c2d

Observation 9c166087-47a0-4197-aab4-70beedbeed2e · inbound

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training cites this paper.

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 20

Resolution
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no resolver link, observed 2026-08-06T19:53:06.215960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:06.215960Z digest=sha256:9dacba33477bb099f1c03f13aff50df17965512884f2c444de0b4c2eb851f637

Observation 429acebe-362e-4c3f-8fb8-4f77b6524ab6 · inbound

Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference cites this paper.

Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 16

Resolution
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no resolver link, observed 2026-08-05T12:19:11.705942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:19:11.705942Z digest=sha256:ac916705ef5f4d03de9354cd30aabcab8fe49352de7ad663f56676a814bc7b08

Observation 2073df42-8eda-4f2c-9221-ca9b5cbb52ee · 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) Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T00:02:31.175151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:02:31.175151Z digest=sha256:108e4047366fe941b9d2a7f6b4be7d26f9db5ec3104b2b5719ae0c2c6d7130b8

Observation 51bea36a-eee7-4d9f-bdbe-1f59481f4fd4 · inbound

TabletopGen: Tabletop Scene Generation and Interactive Simulation for Robotic Manipulation cites this paper.

TabletopGen: Tabletop Scene Generation and Interactive Simulation for Robotic Manipulation Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 50

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unresolved
no resolver link, observed 2026-08-03T19:19:22.634624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:19:22.634624Z digest=sha256:fd02fbd3540b4d6ed12544c60653f607801aeabf0dc3b967d09a96a92d3c69ff

Observation fbb07309-3550-4372-bfd9-0503a5c5d0f7 · inbound

RoboBPP: Benchmarking Robotic Online Bin Packing with Physics-based Simulation cites this paper.

RoboBPP: Benchmarking Robotic Online Bin Packing with Physics-based Simulation Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 2

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metadata mismatch
arxiv_id, observed 2026-05-17T02:23:52.857876Z

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.

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Observation 2ac729c7-6e9d-43d6-a624-90d3483a1bcc · inbound

ObjSplat: Geometry-Aware Gaussian Surfels for Active Object Reconstruction cites this paper.

ObjSplat: Geometry-Aware Gaussian Surfels for Active Object Reconstruction Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 4

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no resolver link, observed 2026-08-03T11:18:12.606573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:18:12.606573Z digest=sha256:d11d28c38d3366f1f0c3e779d5bbffbf30b0e339c108f7393cc680a6c9f893c5

Observation a07dbb77-4c92-4381-ba3f-49d783c169e4 · 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 Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 54

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verified exact
arxiv_id, observed 2026-05-21T13:14:10.897784Z

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.

source=pdf_text observed=2026-05-21T13:13:53.818915Z digest=sha256:a8c90b977529000c338b95c07d480de89824d6e9cd06c924e85071a2ac210ccf

Observation 749f911e-6f1b-4ff4-9468-3a017fb282c6 · 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 Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 67

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no resolver link, observed 2026-08-02T23:49:01.747074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:49:01.747074Z digest=sha256:3f2ed98587890e05c6b5c110b5d10dffe8c49315e56e5348bf6fa244df031327

Observation 5dc41c61-2387-436a-b8c1-3a3fa5a9a2df · inbound

Redefining End-of-Life: Intelligent Automation for Electronics Remanufacturing Systems cites this paper.

Redefining End-of-Life: Intelligent Automation for Electronics Remanufacturing Systems Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 205

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verified exact
arxiv_id, observed 2026-05-13T19:23:09.428399Z

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.

source=pdf_text observed=2026-05-13T19:21:34.849729Z digest=sha256:98cd2975149f9b9f392d08241dbc7c5de1bfce5eed71ba446d38f30c41d77338

Observation 2df247a4-5543-46f5-bbc9-6987690859c7 · inbound

SIM1: Physics-Aligned Simulator as Zero-Shot Data Scaler in Deformable Worlds cites this paper.

SIM1: Physics-Aligned Simulator as Zero-Shot Data Scaler in Deformable Worlds Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 47

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verified exact
arxiv_id, observed 2026-05-11T07:20:58.709579Z

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.

source=arxiv_source observed=2026-05-10T17:13:04.878923Z digest=sha256:0251d6a2f4aa826a526833d46ac09495bef426646998ad584e2a6d8adf77d2c6

Observation 07b8e730-3abc-49ab-aafb-e0513f939957 · 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 Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 44

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metadata mismatch
arxiv_id, observed 2026-05-11T09:11:01.734839Z

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.

source=pdf_text observed=2026-05-10T16:11:29.558490Z digest=sha256:bd53738cc57c1d77734a739ecde8b2862bf1cd5d9155a37552fb5fd373edb68d

Observation fbdb9962-2134-43e4-a874-c1ac48c32df4 · inbound

Reconstruction by Generation: 3D Multi-Object Scene Reconstruction from Sparse Observations cites this paper.

Reconstruction by Generation: 3D Multi-Object Scene Reconstruction from Sparse Observations Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 91

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verified exact
arxiv_id, observed 2026-05-12T10:01:27.992819Z

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.

source=pdf_text observed=2026-05-07T08:29:38.852167Z digest=sha256:6263f402ad51162f58f790549d7a19e72bcc99425a9039941459e302168135ee

Observation a3ecdf76-fb27-415a-b284-982c439ff31d · 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 Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:51:09.120605Z

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.

source=pdf_text observed=2026-05-09T14:37:57.995816Z digest=sha256:6f696f67feed84283d58aebdb785f7bda477713d318119fa039d6f673cb12827

Observation eb528989-970e-4e33-ba49-106eb46a4c26 · inbound

Creative Robot Tool Use by Counterfactual Reasoning cites this paper.

Creative Robot Tool Use by Counterfactual Reasoning Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 66

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arxiv_id, observed 2026-05-11T18:21:09.136036Z

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.

source=pdf_text observed=2026-05-08T16:13:04.706475Z digest=sha256:061753514261394f1a3c34c6f6a2f6289a85e6a61285e239922e9ce7583e9f6d

Observation a1ea8dc1-a1b0-4ce1-b7b1-583121f0bce2 · inbound

Preference-Calibrated Human-in-the-Loop Reinforcement Learning for Robotic Manipulation cites this paper.

Preference-Calibrated Human-in-the-Loop Reinforcement Learning for Robotic Manipulation Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:26:28.791230Z

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.

source=pdf_text observed=2026-06-28T10:07:09.526513Z digest=sha256:3dd0ad799b742c5732d3205c005d5b5b74b67fc5b32c016296742f4579571d1a

Observation f3de9e4d-269c-45bd-9c17-fa129a63d775 · inbound

Preference-Calibrated Human-in-the-Loop Reinforcement Learning for Robotic Manipulation cites this paper.

Preference-Calibrated Human-in-the-Loop Reinforcement Learning for Robotic Manipulation Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-12T15:13:47.413627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T15:13:47.413627Z digest=sha256:e40b7fe6d951240aba0d2c93f009f981922cddc31741037e0f0c0df938b2f21e

Observation 8c22f51c-a7ed-4873-9919-3c7380eaa961 · inbound

HARBOR: A Harness Framework for Agentic Robot Reinforcement Learning cites this paper.

HARBOR: A Harness Framework for Agentic Robot Reinforcement Learning Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 4

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verified exact
arxiv_id, observed 2026-07-02T23:27:26.947184Z

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.

source=pdf_text observed=2026-06-27T18:16:41.314678Z digest=sha256:c7fd2eae909143312471ad979f093e0fa2628d11fdba2fff0ff625628826c886

Observation 01875d55-69d7-4236-9237-b8d9392d8503 · 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 Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 42

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verified exact
arxiv_id, observed 2026-07-02T23:37:27.638171Z

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.

source=pdf_text observed=2026-06-27T18:05:27.871988Z digest=sha256:d36dff2e84fa7616f47dfe8a18aa027e10377a96d435f8898867eccc0d5de557

Observation dba63a65-307d-4bf4-8b84-900a4ce6a6ea · inbound

iMaC: Translating Actions into Motion and Contact Images for Embodied World Models cites this paper.

iMaC: Translating Actions into Motion and Contact Images for Embodied World Models Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 37

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verified exact
arxiv_id, observed 2026-07-03T01:47:31.810176Z

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.

source=pdf_text observed=2026-06-27T16:16:31.703940Z digest=sha256:e632e5a4732b5f92574f5456522ff3cf034e06b2a3ddac8f8bce7a3c755e04ac

Observation 3c8863be-b0d5-4c5c-b6e2-c088f700f066 · 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 Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:47:41.086509Z

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.

source=pdf_text observed=2026-06-27T13:06:35.282837Z digest=sha256:52ac85e9beb71ae8def4635fafecb236308f2137d2857308a8ae7bb22c0a6622

Observation 83613c72-1719-4026-95df-9f68acaf31bb · inbound

JoyAI-Sim: A Simulation-Enabled Interconversion Toolchain for the Embodied Data Pyramid cites this paper.

JoyAI-Sim: A Simulation-Enabled Interconversion Toolchain for the Embodied Data Pyramid Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:34:36.296051Z

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.

source=pdf_text observed=2026-06-30T10:31:54.292897Z digest=sha256:3a5a7f8c70f7adfd684eec88ffa489596dabb5ba25afefca1b6b6caa7fce0716

Observation 9ca42cfa-1940-43b3-a1d8-a494ef66d4f6 · inbound

Scalable Multi-Task Data Generation via Reinforcement Learning for Language-Conditioned Bimanual Dexterous Manipulation cites this paper.

Scalable Multi-Task Data Generation via Reinforcement Learning for Language-Conditioned Bimanual Dexterous Manipulation Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:19:42.973588Z

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.

source=pdf_text observed=2026-06-26T10:18:01.230648Z digest=sha256:02642f8e73929ab946e3aeb2be3a15d9aba8f8aac0e2527796cdcc7a5465c467

Observation 9e7bad5e-d70c-44db-91d9-a7d14ac9b97a · inbound

Scalable Multi-Task Data Generation via Reinforcement Learning for Language-Conditioned Bimanual Dexterous Manipulation cites this paper.

Scalable Multi-Task Data Generation via Reinforcement Learning for Language-Conditioned Bimanual Dexterous Manipulation Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:54:36.888178Z

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.

source=pdf_text observed=2026-06-30T10:46:26.385071Z digest=sha256:1fb6cc9851cf05fec925bbde666a256b7f2edc1372002161f0bae5aa092b59a2

Observation cc1e5f8e-8c23-43d2-8ee8-889f04b90c19 · inbound

ArtiTwinSplat: Interactable Digital Twin Reconstruction via Gaussian Splatting from RGB-D videos cites this paper.

ArtiTwinSplat: Interactable Digital Twin Reconstruction via Gaussian Splatting from RGB-D videos Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:29:59.795051Z

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.

source=pdf_text observed=2026-06-25T23:44:03.281202Z digest=sha256:0524b7b314cbf664330a041b5021817f557824e4064cb7e96f4133c3c33e8a39

Observation 4a947798-d468-4b5f-9e9d-cf9df7bd1364 · inbound

Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience cites this paper.

Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:25:58.729666Z

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.

source=pdf_text observed=2026-06-29T01:57:04.293058Z digest=sha256:19446e77710f54d0dbf6abf9e2d28e295964bcbde6ccfdcf8b1bc52710ff36f3

Observation f8739f8f-5218-4d10-8cc4-89dcee32e7d4 · 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 Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:15:50.802422Z

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.

source=pdf_text observed=2026-06-29T04:06:08.614269Z digest=sha256:a9e0e66880b254980417a5ac4db788a786f9650d210cf117426251ac5a3d611d

Observation 958fc291-26a0-442b-912a-e7322a044517 · 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 Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 80

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:f293d1a4be15f7343074bf5bcdc0eefdea9c4e991f80df9be66913a33ed78221

Observation 467348d3-6b37-4c34-a64e-dc831043eab2 · inbound

Active Real-World Factor-Based Evaluation for Generalist Robot Policies cites this paper.

Active Real-World Factor-Based Evaluation for Generalist Robot Policies Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T02:10:18.485823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:10:18.485823Z digest=sha256:eaebcf2de2dc4bc5f385d338a8a41cd13a632a3b85152e4f8a7430911c6853db

Observation 0c06d5d5-6f2a-47ab-baac-3a159b0e9092 · inbound

Shared Voxel-Map-Based Cooperative Indoor UAV Guidance with a Multi-Agent Soft Actor-Critic Controller cites this paper.

Shared Voxel-Map-Based Cooperative Indoor UAV Guidance with a Multi-Agent Soft Actor-Critic Controller Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T01:41:50.326608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:41:50.326608Z digest=sha256:6132fc25da8483d39c976fc86bd5cd4a2c391bc7abb3da1c46dd6acd765ba26f

Observation 4d5e883e-08c6-4193-ba6c-b0396e9a1f4e · inbound

GAUGE: A Measurement-Grounded Benchmark for Physical Fidelity in Simulation Engines and Video World Models cites this paper.

GAUGE: A Measurement-Grounded Benchmark for Physical Fidelity in Simulation Engines and Video World Models Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T20:36:25.685780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:36:25.685780Z digest=sha256:4d5acabd5c69222ed2d7f5dc486f2259abb3ffd2a01b5e20f9400550f598789e