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Paper Citation Record · LEDGER

Learning Domain Randomization Distributions for Training Robust Locomotion Policies

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.00410.

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

pith.paper-citation-record.v1
1906.00410 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:30:08.805934Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:42:39.422982Z

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 20b38924-b9bc-4b94-ba55-ce14b8dc0140 · inbound

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

Flow-based Domain Randomization for Learning and Sequencing Robotic Skills Learning Domain Randomization Distributions for Training Robust Locomotion Policies

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T14:30:08.805934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:30:08.805934Z digest=sha256:f3ef90be3eb9225570476d8b0eabe1f158799782b02069ce897c7349bd5b0dd8

Observation 1390674b-0db7-4ca4-b22c-9973fe4b864f · inbound

Sampling-Based System Identification with Active Exploration for Legged Robot Sim2Real Learning cites this paper.

Sampling-Based System Identification with Active Exploration for Legged Robot Sim2Real Learning Learning Domain Randomization Distributions for Training Robust Locomotion Policies

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:42:39.474780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:42:30.091104Z digest=sha256:170cef8e15e504b8e0605c592ff966e37d54949bc6c34bf66ba7f9e1d81eeccc