Pith. sign in

Paper Citation Record · LEDGER

Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2502.08645.

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

pith.paper-citation-record.v1
2502.08645 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:26:51.670985Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:27:36.643517Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f0c99625-ed49-411a-8767-a6069ed4a148 · inbound

DSG-World: Learning a 3D Gaussian World Model from Dual State Videos cites this paper.

DSG-World: Learning a 3D Gaussian World Model from Dual State Videos Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T10:26:51.670985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:26:51.670985Z digest=sha256:b69511c16587cd57730a335e0390d857be8fa5209654fe17a85b5e9438bab8d5

Observation 351d99b1-c142-448a-b81b-d91deba851a5 · 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 Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T19:53:06.234870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:06.234870Z digest=sha256:ee75edcffff8a6382c1e62c4c869a7c4ed65263c828ec6f5889ef7c15b9d815b

Observation 5abab91f-7ab8-4634-9077-7fe11a14c8a4 · 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) Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T00:02:31.181437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:02:31.181437Z digest=sha256:4061a36c4a3f44ef16e02cd3ba2ef0e602a04892805d81dd606d06aa770998f7

Observation 815eca52-45b2-4740-a538-35b94714674a · inbound

CoEnv: Driving Embodied Multi-Agent Collaboration via Compositional Environment cites this paper.

CoEnv: Driving Embodied Multi-Agent Collaboration via Compositional Environment Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-13T01:20:01.171033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T19:27:12.286456Z digest=sha256:6a0fed5f853f89155a1a8d2621126955297b4ff4a55ea6f979529ac5f197a07b

Observation 191810a7-66bd-4ad4-b3f1-225fd7e10891 · inbound

{\Psi}-Map: Panoptic Surface Integrated Mapping Enables Real2Sim Transfer cites this paper.

{\Psi}-Map: Panoptic Surface Integrated Mapping Enables Real2Sim Transfer Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-13T01:20:01.171033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:56:28.658800Z digest=sha256:658037f9f0027754cd0208e8abd260110457a731af7ca0690ae090a5e343105e

Observation bd7ef3fe-9bc8-4e21-bec0-4c37d2797511 · 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 Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-13T01:20:01.171033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T08:45:46.944379Z digest=sha256:f48b375e266ab00acdb60614010d95a4a97c86b5998a4d21f03a5311490651ce

Observation 7f1ac07b-84f4-4bb2-b960-afee3901aba8 · inbound

GS-Playground: A High-Throughput Photorealistic Simulator for Vision-Informed Robot Learning cites this paper.

GS-Playground: A High-Throughput Photorealistic Simulator for Vision-Informed Robot Learning Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-13T01:20:01.171033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T16:12:45.211236Z digest=sha256:64c80843a20d5ef8fc4ebe6539df9026845b5dec88e2484601837b83863ee96d

Observation a669deeb-436a-4ea8-86ca-dc4a6c65060b · 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 Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-07-13T01:20:01.171033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T08:29:38.852167Z digest=sha256:d6211254865d7804738da37db4a79c2c2fbac2f20d6d808a45e540ef19943579

Observation d319bb0e-74fd-42b5-af94-5ce8dc26f0e6 · inbound

Beyond Binary Success: A Diagnostic Meta-Evaluation Framework for Fine-Grained Manipulation cites this paper.

Beyond Binary Success: A Diagnostic Meta-Evaluation Framework for Fine-Grained Manipulation Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-07-13T01:20:01.171033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T04:54:17.376700Z digest=sha256:4d2bbde687cf529061abdb258185db444c461134c1b40c9425fe64d4eb2d54ef

Observation 82332d1d-7478-4968-ade3-bd4a0764b2a6 · inbound

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery cites this paper.

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation

Reference 146

Resolution
verified exact
arxiv_id, observed 2026-07-13T01:20:01.171033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T04:46:43.679185Z digest=sha256:b8e3b57fa12944af69455bde93666b39cf711de64aaa305b7c15b0780f0427bd

Observation a7926d21-29f3-4bc5-9f90-d3bec1b7bb20 · 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 Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-13T01:20:01.171033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T13:55:43.905407Z digest=sha256:77001b7bdeafe7f0cee788742ae62a7fbea6324e5d5f76f6e0d2ad854783e0a1

Observation 1769a8ab-ba5f-47a7-91a8-44861904604c · 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 Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-13T01:20:01.171033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T04:06:08.614269Z digest=sha256:eb85a31450c85870bc4bbe49d69c1f54e5c9c5556e23a5fbf1edc02e6ecd54f2

Observation f5f983c1-18b7-4448-9bbd-d1737fd0fbc6 · 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 Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation

Reference 27

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=sha256:6fe50d16d6c820f26b8c884b33b1d81fa438416e605be2d1d8b8a425d74bfe2f

Observation aca99e46-4af9-496f-8cd2-6c778c657021 · inbound

B-spline Policy: Accelerating Manipulation Policies via B-spline Action Representations cites this paper.

B-spline Policy: Accelerating Manipulation Policies via B-spline Action Representations Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-13T01:29:26.731593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T01:29:26.731593Z digest=sha256:080f3d09cbbdff9c0604acec411e48f732769dcf5a4bc07981d4b65e816d8d7a