Paper Citation Record · LEDGER

Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2410.20911.

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

pith.paper-citation-record.v1
2410.20911 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 2026-08-14T06:32:32.682623+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:56:30.656803Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:50:00.004834Z

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 d41286b4-34bf-4bbf-baaa-b0bc4772b999 · inbound

Agentic AI and the Cyber Arms Race cites this paper.

Agentic AI and the Cyber Arms Race Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T14:56:30.656803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fdb5850-aab3-4dec-8574-0b3f12695bca · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks

Reference 206

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.712565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e9966f72-bddd-4cd7-8f81-06f95b616e45 · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks

Reference 239

Resolution: unresolved; no resolver link, observed 2026-08-04T17:46:19.600220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1bed879-6400-4d29-9931-0c298c44b7ab · inbound

Challenges and Future Directions in Agentic Reverse Engineering Systems cites this paper.

Challenges and Future Directions in Agentic Reverse Engineering Systems Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:50:24.727498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1f1ab467-a6aa-4918-8a03-786bf544f830 · 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 Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:00:22.332882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9e7d443b-192a-47f4-8be8-4f831586907c · 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 Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-21T00:53:53.075542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bbce9579-25b1-4288-bb1e-f0ef6cc40863 · 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 Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T15:56:48.520225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65173f46-a3f7-45ba-a8dd-0c1b717f0c23 · inbound

Analyzing Defensive Misdirection Against Model-Guided Automated Attacks on Agentic AI Systems cites this paper.

Analyzing Defensive Misdirection Against Model-Guided Automated Attacks on Agentic AI Systems Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:19:34.758310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2cc61826-63a7-4f86-917d-b4eef6047b12 · inbound

Analyzing Defensive Misdirection Against Model-Guided Automated Attacks on Agentic AI Systems cites this paper.

Analyzing Defensive Misdirection Against Model-Guided Automated Attacks on Agentic AI Systems Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T10:34:36.557526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 95953daf-229f-4384-a74a-0823764c4d1b · inbound

Poisoned Playbooks: Demystifying Knowledge Poisoning Effects on AI Security Agents cites this paper.

Poisoned Playbooks: Demystifying Knowledge Poisoning Effects on AI Security Agents Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:50:00.006657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9a538ad0-d5b0-4961-a69c-63eb804cfe12 · inbound

AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents cites this paper.

AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-30T14:30:12.536703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd92ab9f-3aeb-450a-9611-6bb98788d3f7 · inbound

AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents cites this paper.

AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T04:29:02.231329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.