Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.21940.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T23:52:27.256334Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T00:55:12.768408Z
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 780dd898-74eb-46b4-a680-497cb2ab8e39 · inbound
Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies cites this paper.
Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:10:41.510733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0c11079a-0567-4e49-a383-cbf6c7db1738 · inbound
Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies cites this paper.
Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:42:39.794135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3b26cb01-2f32-48c7-ad34-56c21ffb75e6 · inbound
Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies cites this paper.
Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T00:55:12.769802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.