Paper Citation Record · LEDGER

Understanding Domain Randomization for Sim-to-real Transfer

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2110.03239.

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

pith.paper-citation-record.v1
2110.03239 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:30:08.728361Z

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

33
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 3d9c91d8-8be8-4684-a205-42a6b4d56cba · inbound

Flow-based Domain Randomization for Learning and Sequencing Robotic Skills cites this paper.

Flow-based Domain Randomization for Learning and Sequencing Robotic Skills Understanding Domain Randomization for Sim-to-real Transfer

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T14:30:08.728361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a499f1f-455f-4ea9-9bdc-324eb9e0df8f · inbound

Humans Coexist, So Must Embodied Artificial Agents cites this paper.

Humans Coexist, So Must Embodied Artificial Agents Understanding Domain Randomization for Sim-to-real Transfer

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T21:27:27.351890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df52e767-143e-4f50-bdb3-099563a1177d · inbound

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

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

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T00:05:05.612989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37744985-66d8-45c9-87c4-27bdddde1692 · inbound

McARL:Morphology-Control-Aware Reinforcement Learning for Generalizable Quadrupedal Locomotion cites this paper.

McARL:Morphology-Control-Aware Reinforcement Learning for Generalizable Quadrupedal Locomotion Understanding Domain Randomization for Sim-to-real Transfer

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:36:25.255118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 924fea50-4cd8-4b30-a670-70c94db900cf · inbound

Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning cites this paper.

Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning Understanding Domain Randomization for Sim-to-real Transfer

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:37:23.614328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 184933b4-ad98-4aa4-9e17-61c4260a859c · inbound

Hold My Beer: Learning Gentle Humanoid Locomotion and End-Effector Stabilization Control cites this paper.

Hold My Beer: Learning Gentle Humanoid Locomotion and End-Effector Stabilization Control Understanding Domain Randomization for Sim-to-real Transfer

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:38:13.189222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2009e78b-d955-4f6f-9cd1-9bb7442976db · inbound

Foundation Model Driven Robotics: A Comprehensive Review cites this paper.

Foundation Model Driven Robotics: A Comprehensive Review Understanding Domain Randomization for Sim-to-real Transfer

Reference 154

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.406311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23ab09ef-081e-4601-9436-5eee88753e02 · inbound

Simulation Priors for Data-Efficient Deep Learning cites this paper.

Simulation Priors for Data-Efficient Deep Learning Understanding Domain Randomization for Sim-to-real Transfer

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T05:10:10.464051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50c439eb-c5b9-487f-904e-167a0bf2be08 · inbound

Now You See That: Learning End-to-End Humanoid Locomotion from Raw Pixels cites this paper.

Now You See That: Learning End-to-End Humanoid Locomotion from Raw Pixels Understanding Domain Randomization for Sim-to-real Transfer

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:27:32.276563Z

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.

Observation d507f494-150f-4340-ab7d-3c376256c195 · inbound

Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift cites this paper.

Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift Understanding Domain Randomization for Sim-to-real Transfer

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:21:25.363159Z

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.

Observation e05c8b8e-6ca9-4fac-9f07-22cb94ab18db · inbound

Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift cites this paper.

Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift Understanding Domain Randomization for Sim-to-real Transfer

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:09:07.637572Z

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.

Observation e244d894-13ab-4d21-a3f3-5237656e0b4c · inbound

Zero-shot Transfer of Reinforcement Learning Control Policies for the Swing-Up and Stabilization of a Cart-Pole System cites this paper.

Zero-shot Transfer of Reinforcement Learning Control Policies for the Swing-Up and Stabilization of a Cart-Pole System Understanding Domain Randomization for Sim-to-real Transfer

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-26T11:39:24.549635Z

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.

Observation fbee72d6-5f5b-476f-bd3c-cf51bdb56969 · inbound

Stationary Robust Mean-Field Games under Model Mismatches cites this paper.

Stationary Robust Mean-Field Games under Model Mismatches Understanding Domain Randomization for Sim-to-real Transfer

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:49:42.733940Z

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.