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Paper Citation Record · LEDGER

RL-GSBridge: 3D Gaussian Splatting Based Real2Sim2Real Method for Robotic Manipulation Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.20291.

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

pith.paper-citation-record.v1
2409.20291 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:53:39.809899Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:18:29.120834Z

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 24ea9d40-428c-47f3-87e3-dd209c02d405 · inbound

Splatting Physical Scenes: End-to-End Real-to-Sim from Imperfect Robot Data cites this paper.

Splatting Physical Scenes: End-to-End Real-to-Sim from Imperfect Robot Data RL-GSBridge: 3D Gaussian Splatting Based Real2Sim2Real Method for Robotic Manipulation Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T10:53:39.809899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:53:39.809899Z digest=sha256:89f9fc32b8577308e9367bfd4678cae6ac3e0f78d70526fc7b6eb48c09df4673

Observation da8c1c21-aa6f-476c-9a6d-610b252029e3 · 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 RL-GSBridge: 3D Gaussian Splatting Based Real2Sim2Real Method for Robotic Manipulation Learning

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T00:57:29.743022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:29.743022Z digest=sha256:ec43cc885ee0e3a474ebb94e55e602e0e10c36aef0034ab522828734d162397b

Observation d2905212-012b-47b7-b0c9-ac8e45bfe6f4 · 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 RL-GSBridge: 3D Gaussian Splatting Based Real2Sim2Real Method for Robotic Manipulation Learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.497395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.497395Z digest=sha256:1655a9e540fc4ae27cf3f6ee620704bdb0b2f4f2b06e0071525dfa0fa05a1654

Observation f01e55e5-7bb1-43e6-bf80-2634c230df3b · 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 RL-GSBridge: 3D Gaussian Splatting Based Real2Sim2Real Method for Robotic Manipulation Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T19:53:06.240108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:06.240108Z digest=sha256:62bff3e3f9e6cdbc6fbb6bba373e291ae113cb708f641b94dba702e46cc342f5

Observation 3bf551a7-5f7f-48ef-92f8-41e822a2c69a · inbound

Learning human-to-robot handovers through 3D scene reconstruction cites this paper.

Learning human-to-robot handovers through 3D scene reconstruction RL-GSBridge: 3D Gaussian Splatting Based Real2Sim2Real Method for Robotic Manipulation Learning

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:18:29.160053Z

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=2026-08-06T18:18:25.232897Z digest=sha256:6d20699b5c33b441188effb41482316ecc2c2a3a97bc56a2433dae731363324b