Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Dive into Model-free Reinforcement Learning for Biological and Robotic Systems: Theory and Practice
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2405.11457.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:12:54.118546Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T18:12:54.150923Z
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 634e1531-2a30-4287-bf49-b7696c379ce7 · inbound
Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number cites this paper.
Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Deep Dive into Model-free Reinforcement Learning for Biological and Robotic Systems: Theory and Practice
Reference 32
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-15T18:12:54.157032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.