Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data Filter
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2410.12160.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:24:23.383233Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T12:24:23.855969Z
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 a6f8c3df-dd88-4e57-90b5-bb1a4c2414e4 · inbound
Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning cites this paper.
Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data Filter
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T12:24:23.863440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.