Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Information based explanation methods for deep learning agents -- with applications on large open-source chess models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.09702.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T17:58:34.428749Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T17:58:38.351633Z
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 428f95f6-2f0f-43d7-9d80-d9874317bb83 · inbound
Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning cites this paper.
Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning Information based explanation methods for deep learning agents -- with applications on large open-source chess models
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T17:58:38.357079Z
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.
Observation adfdd28f-a489-4205-9d60-37461636f382 · inbound
Policy Gradient Steering: Interventions from Behavioral Objectives cites this paper.
Policy Gradient Steering: Interventions from Behavioral Objectives Information based explanation methods for deep learning agents -- with applications on large open-source chess models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:29:53.696694Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.