Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reinforcement Learning based Cyberattack Model for Adaptive Traffic Signal Controller in Connected Transportation Systems
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.01845.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:52:04.827052Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T18:48:50.036126Z
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 d50ebdaf-2d45-49b2-afdb-e58a6955a667 · inbound
Vehicular Communication Security: Multi-Channel and Multi-Factor Authentication cites this paper.
Vehicular Communication Security: Multi-Channel and Multi-Factor Authentication Reinforcement Learning based Cyberattack Model for Adaptive Traffic Signal Controller in Connected Transportation Systems
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:52:04.827052Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 951765d5-5bb6-494b-852c-247c912962b2 · inbound
BARD-MARL: Byzantine-Agent Detection for Learned Communication in Multi-Agent Reinforcement Learning cites this paper.
BARD-MARL: Byzantine-Agent Detection for Learned Communication in Multi-Agent Reinforcement Learning Reinforcement Learning based Cyberattack Model for Adaptive Traffic Signal Controller in Connected Transportation Systems
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T18:48:50.037484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.