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Paper Citation Record · LEDGER

LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2410.13919.

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

pith.paper-citation-record.v1
2410.13919 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:38:47.695578Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6f2c69fd-02e4-4b75-bfc2-96c83cc33b55 · inbound

Winning at All Cost: A Small Environment for Eliciting Specification Gaming Behaviors in Large Language Models cites this paper.

Winning at All Cost: A Small Environment for Eliciting Specification Gaming Behaviors in Large Language Models LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T23:38:47.695578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:38:47.695578Z digest=sha256:5c475c7f618a1b09bd13cbbdb843fd57094d4b0cc208aa2db3a8120a030cecba

Observation 44b3e694-cbc2-4d91-8bc7-4728821fcec1 · inbound

Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks cites this paper.

Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild

Reference 192

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:59.622556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:59.622556Z digest=sha256:d78c483877300cc5ee2c85b7ca51ca2a0e7344c857911dff2963a21c75fda72e

Observation ddcc7e4b-845e-422c-a881-94e2c7faa835 · inbound

SoK: Honeypots & LLMs, More Than the Sum of Their Parts? cites this paper.

SoK: Honeypots & LLMs, More Than the Sum of Their Parts? LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:05:48.250461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T03:03:29.755428Z digest=sha256:924514688e6102545956159c30b8003cffacb84846b2ffeaae225031bebc62e9

Observation 649ee6cc-ed58-494f-be61-53d54229c02b · inbound

Beyond Pattern Matching: Seven Cross-Domain Techniques for Prompt Injection Detection cites this paper.

Beyond Pattern Matching: Seven Cross-Domain Techniques for Prompt Injection Detection LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:00:22.341255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T04:42:33.450658Z digest=sha256:cc067e1d8a1b81beea41c58cce3d3eae9def813e39b365bad91b777276a913f8

Observation 62c421e5-188a-49ba-8c35-9cce00e2f091 · inbound

Beyond Pattern Matching: Seven Cross-Domain Techniques for Prompt Injection Detection cites this paper.

Beyond Pattern Matching: Seven Cross-Domain Techniques for Prompt Injection Detection LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:53:53.092168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T00:51:22.907932Z digest=sha256:368066ed28aea9209529cfb38d87effa161e17fcf6b071c0305443e573d93a26

Observation 2ef6ac0e-3305-4a13-a36c-0fc0bd92b6c2 · inbound

Beyond Pattern Matching: Seven Cross-Domain Techniques for Prompt Injection Detection cites this paper.

Beyond Pattern Matching: Seven Cross-Domain Techniques for Prompt Injection Detection LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T15:56:48.569189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:56:48.569189Z digest=sha256:4cb4352d6a1ad3a8caa18e5db3b018d356cc48a43d90183bd51a93f49f9d5efb

Observation c17e5a7a-fffa-457e-8c39-6188bba567a0 · inbound

Caught in the Act(ivation): Toward Pre-Output and Multi-Turn Detection of Credential Exfiltration by LLM Agents cites this paper.

Caught in the Act(ivation): Toward Pre-Output and Multi-Turn Detection of Credential Exfiltration by LLM Agents LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:16:36.046375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T09:15:57.044886Z digest=sha256:4eadcdde6b0881d56b31f2c7305479bf0b08d05cd2e200a0a748a2ed32214d79

Observation dde89974-8d03-4085-a075-a3a480a80a86 · inbound

Honeyquest for LLMs: Rethinking Cyber Deception for AI Attackers cites this paper.

Honeyquest for LLMs: Rethinking Cyber Deception for AI Attackers LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:39:37.775849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T14:19:21.406261Z digest=sha256:e2151a8b88762071b40a232034ca5c91fe576ad34902d3408cf34cb056c08270

Observation 506f3d3c-b07e-4538-bc5e-604bdc25669e · inbound

AdvancedShelLM: A Stateful Multi-Agent LLM Honeypot for SSH Deception cites this paper.

AdvancedShelLM: A Stateful Multi-Agent LLM Honeypot for SSH Deception LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T04:03:05.354641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T03:54:36.274072Z digest=sha256:5ad1c0c05c4ad02988a00221d1e612a6469ffc46a3d0c6369ba5431279708e5a

Observation 5eda3281-a0d9-4d00-98a2-cd170b6998f4 · inbound

Ghost Without Shell: Measuring Non-Interactive SSH Attacks on Honeypots cites this paper.

Ghost Without Shell: Measuring Non-Interactive SSH Attacks on Honeypots LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-29T03:53:05.363888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T03:49:35.928873Z digest=sha256:d1b89b7aca6584ac6eadd5b5a779cc5a8336ab5e16d90b28da96556cab79c45e

Observation 25cff76b-b122-48c4-9852-89c9d6e89334 · inbound

Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response cites this paper.

Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-01T02:40:29.510129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:40:29.510129Z digest=sha256:ab56546f0fc075894f937aaf1c0c19471b999391acfa303676cf30c049406daa

Observation 8e6f95e3-c039-4e88-acb4-94423dc28edb · inbound

Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response cites this paper.

Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-04T01:33:23.376610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:33:23.376610Z digest=sha256:fab6792cdca014a3a31b9e3c30d9b15bd6f3daaeb68f09a99e19743ec39ddb8f