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Paper Citation Record · LEDGER

HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2309.16021.

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

pith.paper-citation-record.v1
2309.16021 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:44:21.007288Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:18:55.583857Z

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 25857972-7089-4754-8344-b4076343f7fc · inbound

Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions cites this paper.

Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T19:44:21.007288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:44:21.007288Z digest=sha256:063d9ed27fcd640ed50b7783c6205ab2eba9009240625f7a14b61d89e520b399

Observation e9b4e2c5-a8ac-489d-8714-c8aa97403d07 · inbound

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

Reference 127

Resolution
unresolved
no resolver link, observed 2026-08-06T16:24:30.167491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:30.167491Z digest=sha256:7bd556d0248e56c4ec2355aa88977dba5d57cd1f55004ac6e2cdec79f1615416

Observation 80df61b0-8b25-4aa2-90fb-1dbdff8d87ae · inbound

AnomalyExplainer Explainable AI for LLM-based anomaly detection using BERTViz and Captum cites this paper.

AnomalyExplainer Explainable AI for LLM-based anomaly detection using BERTViz and Captum HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T16:06:48.827171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:06:48.827171Z digest=sha256:3ee23f90defc89540ed20a1a1a76eae9049a8c7fce6749172b152dd2ad22a80f

Observation 85ea2c7d-1398-40f2-a516-d487b310bedb · inbound

Large Language Models for Security Operations Centers: A Comprehensive Survey cites this paper.

Large Language Models for Security Operations Centers: A Comprehensive Survey HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

Reference 231

Resolution
unresolved
no resolver link, observed 2026-08-04T17:32:21.492626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:32:21.492626Z digest=sha256:c9f0cc450c40c5354bfe10f1c108bffdf2fcc00c95542f374176a2f1be38b55b

Observation 14b18323-fc8b-485d-b4b4-4cd02910c7d1 · inbound

AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Comprehensive Survey cites this paper.

AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Comprehensive Survey HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:51:14.726971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T00:50:39.655353Z digest=sha256:b1ec02ded7dee996f5476b9dd1c18f43eb7d29cc0008f3c86773deeb87e03264

Observation 6ccd7f69-b90d-4df4-9d83-727d13501542 · inbound

Generative AI and Federated Learning for Intrusion Detection Systems: A Survey cites this paper.

Generative AI and Federated Learning for Intrusion Detection Systems: A Survey HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

Reference 130

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T20:18:55.587159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-03T20:18:02.667339Z digest=sha256:9a1e446bcbfec4fcfa637c1db2b2e72378e09a4a70ce718f54a2329d303269d2

Observation 61c79c3f-861a-4cf9-b1e0-57428c8e4f72 · inbound

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification cites this paper.

ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-12T00:54:19.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:54:19.034695Z digest=sha256:30121808adeb0bd4d6345554e95911ee8b8f065281b7f7a1d6e4a39c04d5ee79

Observation bdd57197-11b0-4211-9200-eca1a59b46c4 · inbound

(EC)2: Event-Centric Explainability for Cybersecurity Through Multi-Agent LLM Investigations cites this paper.

(EC)2: Event-Centric Explainability for Cybersecurity Through Multi-Agent LLM Investigations HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T00:34:16.443080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:34:16.443080Z digest=sha256:a5ea2e1a9b2acc173fafc3cb1705ef7f5c6324823052e8c68743cbb8a993c261

Observation 1d9a8ba7-360f-407b-b759-ef8d82bc7121 · inbound

Cybersecurity Detection Classification with Reasoning-enabled Language Models cites this paper.

Cybersecurity Detection Classification with Reasoning-enabled Language Models HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-31T06:41:21.698180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T06:41:21.698180Z digest=sha256:c9898432314f24649a5e52639e5985ad6fbc144dd6ad7615741e6a00ad1a8937

Observation d39cebb1-e7fc-40a5-aee5-3df95b617b5f · inbound

Distilling Knowledge from Large Language Models into Lightweight Reinforcement Learning Agents for Autonomous Cyber Operations cites this paper.

Distilling Knowledge from Large Language Models into Lightweight Reinforcement Learning Agents for Autonomous Cyber Operations HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T01:39:52.279475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:39:52.279475Z digest=sha256:fce519e898bf7b00317eec46f349cd55b08abcadf2fef348acd02f36c0df5ddf