Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1912.01798.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T03:15:09.961548Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T08:11:03.828340Z
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 e9d00cfd-ccce-4741-ae37-0925c1efdb6b · inbound
SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity cites this paper.
SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:15:09.961548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64edd5d2-2285-44b9-9758-ba78eca51154 · inbound
Building Better Environments for Autonomous Cyber Defence cites this paper.
Building Better Environments for Autonomous Cyber Defence SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:11:03.831463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.