Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1906.02500.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:01:22.744141Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T23:34:48.205298Z
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 44aa58bd-627c-45d5-95c6-1a3750e3d5bb · inbound
Free-Lunch Saliency via Attention in Atari Agents cites this paper.
Free-Lunch Saliency via Attention in Atari Agents Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:45:56.212557Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdde2bf2-25da-4f13-825a-1a06159bdf88 · inbound
Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes cites this paper.
Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:22.744141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c766b3fe-7979-4301-9978-5fffa20c34fb · inbound
A Survey of State Representation Learning for Deep Reinforcement Learning cites this paper.
A Survey of State Representation Learning for Deep Reinforcement Learning Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
Reference 98
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T23:34:48.339822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.