Paper Citation Record · LEDGER

Dueling Deep Q-Learning for Intrusion Detection

As of 19 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2608.11291.

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

pith.paper-citation-record.v1
2608.11291 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:16:45.757636Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

16 of 16 outbound references displayed

verified exact0
verified fuzzy9
unresolved3
parse uncertain0
malformed identifier2
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4d41a1ef-95b1-4462-8694-430f9c13d737 · outbound

This paper cites Khraisat, I.

Dueling Deep Q-Learning for Intrusion Detection Khraisat, I

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:16:46.222096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2dd576ad-28a4-42d8-ab74-039d7de4d450 · outbound

This paper cites Garc ´ıa-Teodoro, J.

Dueling Deep Q-Learning for Intrusion Detection Garc ´ıa-Teodoro, J

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:16:46.201664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 266ccafb-9208-4cc6-ba9d-02539018c926 · outbound

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

Dueling Deep Q-Learning for Intrusion Detection Outside the closed world: On using machine learning for network intrusion detection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:16:46.182113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ab2791d1-91b3-4ecb-a292-f7d8472f8822 · outbound

This paper cites Anomaly detec- tion: A survey.ACM Computing Surveys (CSUR), 41(3):1–58, 2009.

Dueling Deep Q-Learning for Intrusion Detection Anomaly detec- tion: A survey.ACM Computing Surveys (CSUR), 41(3):1–58, 2009

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:16:46.162402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f6189f78-5386-4b0d-889f-4dcbf351cdd5 · outbound

This paper cites an unresolved cited work.

Dueling Deep Q-Learning for Intrusion Detection Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:16:46.142725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b416a5ed-bc0d-4faa-a348-8a855f1fcdf4 · outbound

This paper cites Data breach investigations report, 2022.

Dueling Deep Q-Learning for Intrusion Detection Data breach investigations report, 2022

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:16:46.124096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d7d2ebc2-b29a-42a2-af8a-57871edd6990 · outbound

This paper cites Sutton and Andrew G.

Dueling Deep Q-Learning for Intrusion Detection Sutton and Andrew G

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:16:46.105551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 06d7f56b-9945-4eb8-9bdd-a2edb98d0f39 · outbound

This paper cites Deep q-learning based reinforcement learning approach for network intrusion detection.Computers, 11(3):41, 2022.

Dueling Deep Q-Learning for Intrusion Detection Deep q-learning based reinforcement learning approach for network intrusion detection.Computers, 11(3):41, 2022

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T14:16:45.712987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69523298-68cc-43d1-a561-2d6579ddb2a0 · outbound

This paper cites Hierarchical multi- agent reinforcement learning for cyber network defense.Proceedings of the 2023 International Conference on Cybersecurity, 2023.

Dueling Deep Q-Learning for Intrusion Detection Hierarchical multi- agent reinforcement learning for cyber network defense.Proceedings of the 2023 International Conference on Cybersecurity, 2023

Reference 9

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T14:16:45.989208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3dc4d5a8-c20b-4de0-9c60-f9b5d3308ad1 · outbound

This paper cites Op- timizing intrusion detection systems in three phases on the cse-cic- ids-2018 dataset.MDPI Computers, 12(12):245, 2023.

Dueling Deep Q-Learning for Intrusion Detection Op- timizing intrusion detection systems in three phases on the cse-cic- ids-2018 dataset.MDPI Computers, 12(12):245, 2023

Reference 10

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T14:16:46.087963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9f95dcd4-d394-40e9-b152-99dd786a1527 · outbound

This paper cites Human-level control through deep reinforcement learning.Nature, 518(7540):529–533, 2015.

Dueling Deep Q-Learning for Intrusion Detection Human-level control through deep reinforcement learning.Nature, 518(7540):529–533, 2015

Reference 11

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T14:16:46.068088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9d6648e6-e8b1-425f-bf4b-f159e6318019 · outbound

This paper cites Generating images with recurrent adversarial networks.

Dueling Deep Q-Learning for Intrusion Detection Generating images with recurrent adversarial networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T14:16:45.734912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd365672-ce86-4077-9d8f-db6f387510d4 · outbound

This paper cites Sharafaldin, A.

Dueling Deep Q-Learning for Intrusion Detection Sharafaldin, A

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:16:46.048286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f6a7e072-beab-42b9-828a-52caf3f68f58 · outbound

This paper cites Intrusion detection system development using tree-based machine learning algorithms.International Journal of Computer Networks & Communications, 15(4):73–85, 2023.

Dueling Deep Q-Learning for Intrusion Detection Intrusion detection system development using tree-based machine learning algorithms.International Journal of Computer Networks & Communications, 15(4):73–85, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:16:46.029428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2335d13-1e94-4c19-a8c6-8ec3a55b1ad1 · outbound

This paper cites Hast-ids: Learning hierarchical spatial-temporal features using deep neural networks to improve intrusion detection.IEEE Access, 6:19174–19184, 2018.

Dueling Deep Q-Learning for Intrusion Detection Hast-ids: Learning hierarchical spatial-temporal features using deep neural networks to improve intrusion detection.IEEE Access, 6:19174–19184, 2018

Reference 15

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T14:16:45.878380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5099fc85-d835-4c8b-9639-f66b358c1a4f · outbound

This paper cites Beechey, T.

Dueling Deep Q-Learning for Intrusion Detection Beechey, T

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:16:46.009292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.