Paper Citation Record · LEDGER

Domain Randomization via Entropy Maximization

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2311.01885.

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

pith.paper-citation-record.v1
2311.01885 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:07:19.717212Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T09:23:24.976672Z

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 a7b2837b-8dbb-4975-97a6-29faca3685bb · inbound

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

Flow-based Domain Randomization for Learning and Sequencing Robotic Skills Domain Randomization via Entropy Maximization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T14:30:08.890438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7d09495-6b85-43a4-b46d-889e013f183d · inbound

Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning cites this paper.

Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning Domain Randomization via Entropy Maximization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T11:31:10.742814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b8e0d7a-63b7-4354-a78a-379b9e52ae3e · inbound

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments cites this paper.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Domain Randomization via Entropy Maximization

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-16T06:07:19.717212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e17aac6-4775-49ff-9632-b7acee9d32ac · inbound

One Net to Rule Them All: Domain Randomization in Quadcopter Racing Across Different Platforms cites this paper.

One Net to Rule Them All: Domain Randomization in Quadcopter Racing Across Different Platforms Domain Randomization via Entropy Maximization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T05:05:29.325322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2054f665-bc14-4e12-9075-4d97de8575e4 · 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 Domain Randomization via Entropy Maximization

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T14:37:27.923135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe750302-087f-4822-adef-d5d0585b47dc · inbound

Trajectory-based actuator identification via differentiable simulation cites this paper.

Trajectory-based actuator identification via differentiable simulation Domain Randomization via Entropy Maximization

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:05.028756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ba1b99cf-0891-4284-a3cf-8d53e675206c · inbound

Distributionally Robust Control via Stein Variational Inference for Contact-Rich Manipulation cites this paper.

Distributionally Robust Control via Stein Variational Inference for Contact-Rich Manipulation Domain Randomization via Entropy Maximization

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:23:24.978270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 22e305e5-0e16-4254-9213-caf5d3708330 · inbound

Distributionally Robust Control via Stein Variational Inference for Contact-Rich Manipulation cites this paper.

Distributionally Robust Control via Stein Variational Inference for Contact-Rich Manipulation Domain Randomization via Entropy Maximization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-14T18:52:37.718635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.