Pith. sign in

Paper Citation Record · LEDGER

REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.05244.

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

pith.paper-citation-record.v1
2202.05244 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:03:56.703511Z

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

4
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 546f6a77-7509-4672-a64a-4350949abc0e · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer

Reference 212

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:12:35.112259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-16T08:12:30.984870Z digest=sha256:a3dd3b0651bd76a1279cc5739fdd3d0dab1d4d153bbeba4dc8d5669e55d32506

Observation 37130817-48e1-4fa4-8085-b305024b6914 · inbound

Hybrid Cross-domain Robust Reinforcement Learning cites this paper.

Hybrid Cross-domain Robust Reinforcement Learning REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T13:03:56.703511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:03:56.703511Z digest=sha256:c8d46b651fe90386508926c71e6849aa740e6659fa10e4810ccdb34b7081fefe