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Paper Citation Record · LEDGER

The Best Defense is a Good Offense: Countering LLM-Powered Cyberattacks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.15396.

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

pith.paper-citation-record.v1
2410.15396 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:28:57.384789Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T18:16:14.067578Z

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 402aea08-a4ab-4968-a428-ecf4ef5c4072 · 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 The Best Defense is a Good Offense: Countering LLM-Powered Cyberattacks

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:57.384789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:57.384789Z digest=sha256:0ce749e9ab383bd9ed245b873017b02cf991eef3c6cf3163af4c75c856b558c1

Observation b66b7867-adac-4c78-97c7-5068b00ec8b4 · inbound

On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models cites this paper.

On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models The Best Defense is a Good Offense: Countering LLM-Powered Cyberattacks

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-15T14:23:35.154072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T14:21:41.786001Z digest=sha256:db37f52bd5410aafcf8cf317052e203280e9e5f14ce3e4ad8b6aecca705e8762