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Paper Citation Record · LEDGER

Evolving Rewards to Automate Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1905.07628.

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

pith.paper-citation-record.v1
1905.07628 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:38:45.186797Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:40:37.025498Z

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 b725b8b9-f6d9-4349-a25b-658a27f77880 · inbound

EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning cites this paper.

EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning Evolving Rewards to Automate Reinforcement Learning

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-10T14:38:45.186797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:45.186797Z digest=sha256:2d862450af69f4cdea0e3bd8361bc0e4c4e6bc5bf6f775afa43adb1c715461e4

Observation 1d6b1797-87ba-4bed-92f5-4f0250950f5a · inbound

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward cites this paper.

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Evolving Rewards to Automate Reinforcement Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:11:59.932441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:11:59.932441Z digest=sha256:52cb5fe0e1cd3bc322e1a62d5d86b893df7b097a7e81643ed4bec3fb9c6c38c2

Observation b2d527e8-a4ee-4711-bbe7-d0e0096f72f6 · inbound

Impedance Primitive-augmented Hierarchical Reinforcement Learning for Sequential Tasks cites this paper.

Impedance Primitive-augmented Hierarchical Reinforcement Learning for Sequential Tasks Evolving Rewards to Automate Reinforcement Learning

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:40:37.032785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T15:40:36.910953Z digest=sha256:f5b307a59b0aea3ae52ef98a4821d619c27987de8b8ae42477dac66cd9f5b43f