Paper Citation Record · LEDGER

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks

As of 22 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2606.07796.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.07796 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T18:17:44.048869Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy0
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a6e1c84-d205-436b-ab81-af7199030d8a · outbound

This paper cites Game-theoretic modeling of adaptive attacks and defenses in vehicular networks,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Game-theoretic modeling of adaptive attacks and defenses in vehicular networks,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b987c2b-9a25-429e-b994-d9467667bcf4 · outbound

This paper cites Learning-based security control for future intelligent transportation systems,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Learning-based security control for future intelligent transportation systems,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

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Unavailable: canonical work link unavailable.

Observation 5e8ae62e-f2f5-4ba4-82f9-a9ddb74c06a3 · outbound

This paper cites Intrusion detection systems for the internet of vehicles: A survey,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Intrusion detection systems for the internet of vehicles: A survey,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

Source-reported events for the cited work

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Observation 13aca244-5947-408e-90e1-3e48fe9e50d5 · outbound

This paper cites Benchmarking network intrusion detection systems: Pitfalls and best practices,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Benchmarking network intrusion detection systems: Pitfalls and best practices,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

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Observation 3f09575c-88b7-4529-adf2-25dd64a8e709 · outbound

This paper cites Outside the closed world: On using machine learning for network intrusion detection,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Outside the closed world: On using machine learning for network intrusion detection,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

Source-reported events for the cited work

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Observation 712ce6bb-43ad-4539-8528-70125c1b539c · outbound

This paper cites Adversarial reinforcement learning for autonomous network defense,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Adversarial reinforcement learning for autonomous network defense,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

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Observation 0d5d1b41-f0b5-4060-8a79-6909e33f6bd5 · outbound

This paper cites Deep reinforcement learning for adap- tive cyber defense: A survey and open challenges,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Deep reinforcement learning for adap- tive cyber defense: A survey and open challenges,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42aae201-a348-4268-8e85-ebd315870cfa · outbound

This paper cites Optimal policies for cyber defense via markov games,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Optimal policies for cyber defense via markov games,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba2ad06e-9e05-400a-84f9-b84e7bf64e82 · outbound

This paper cites Information-theoretic bounded rationality and decision-making,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Information-theoretic bounded rationality and decision-making,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

Source-reported events for the cited work

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Observation 89d7c797-ad6d-46dd-877e-2a5644283090 · outbound

This paper cites Robust decision-making under model uncertainty,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Robust decision-making under model uncertainty,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

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Observation 89387a5a-e3dd-47c7-849f-86a5164d9cbc · outbound

This paper cites Quantum-inspired reinforcement learning: A survey and perspectives,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Quantum-inspired reinforcement learning: A survey and perspectives,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

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Observation 14714d75-4995-4cff-8daf-838ac1d51fa0 · outbound

This paper cites Optimal strategy for moving target defense on the internet of vehicles based on game theory and reinforcement learning,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Optimal strategy for moving target defense on the internet of vehicles based on game theory and reinforcement learning,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

Source-reported events for the cited work

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Observation cdc68df1-15d9-486d-a75b-861589bbc5db · outbound

This paper cites Proximal Policy Optimization Algorithms.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Proximal Policy Optimization Algorithms

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

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Observation b0befa16-3876-42bd-8725-78909e42359b · outbound

This paper cites Ai-based intrusion detection systems for in-vehicle networks: A survey,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Ai-based intrusion detection systems for in-vehicle networks: A survey,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

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Observation 320a1c38-3875-40f7-8486-16a619b603ba · outbound

This paper cites Detection of zero-day attacks via sample augmentation for the internet of vehicles,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Detection of zero-day attacks via sample augmentation for the internet of vehicles,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

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Observation 53fcf973-5225-4bdb-ae46-aca2d16c30eb · outbound

This paper cites A secure and efficient deep learning-based intrusion detection framework for the internet of vehicles,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks A secure and efficient deep learning-based intrusion detection framework for the internet of vehicles,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

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Observation 7fadb35e-4c23-4040-ad3e-0a4ce1a3107e · outbound

This paper cites Deep reinforcement learning for cyber security,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Deep reinforcement learning for cyber security,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

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Observation 52d6f6ba-63c4-4625-ab20-e505e73f1a64 · outbound

This paper cites Noma-assisted secure offloading for vehicular edge computing networks with asynchronous deep reinforcement learning,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Noma-assisted secure offloading for vehicular edge computing networks with asynchronous deep reinforcement learning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

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Observation 516f72f5-7bea-43af-9067-1bcc934e6333 · outbound

This paper cites A multiagent deep reinforcement learning autonomous security manage- ment approach for internet of things,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks A multiagent deep reinforcement learning autonomous security manage- ment approach for internet of things,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

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Observation 0e8868a9-78d9-4c1f-a4ab-bdf47f27822d · outbound

This paper cites Risk-aware federated reinforcement learning-based secure iov communications,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Risk-aware federated reinforcement learning-based secure iov communications,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

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Observation b0820c53-69fa-44a2-bd2d-796cbcc47768 · outbound

This paper cites Analyzing robustness of deep rein- forcement learning under false data injection attacks,.

Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks Analyzing robustness of deep rein- forcement learning under false data injection attacks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T18:17:44.048869Z

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Pith citing papers

No inbound Pith citation observations are available.