Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Giraffe: Using Deep Reinforcement Learning to Play Chess
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1509.01549.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T13:29:10.626000Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T10:37:35.561267Z
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 a001709c-5cf6-4e19-b714-4d43d8d6c97e · inbound
DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization cites this paper.
DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Giraffe: Using Deep Reinforcement Learning to Play Chess
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T13:29:10.626000Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a4508a3-57df-4807-898f-172ae2dea036 · inbound
Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study cites this paper.
Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study Giraffe: Using Deep Reinforcement Learning to Play Chess
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:37:35.626091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.