Pith. sign in

Paper Citation Record · LEDGER

PenHeal: A Two-Stage LLM Framework for Automated Pentesting and Optimal Remediation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.17788.

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

pith.paper-citation-record.v1
2407.17788 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:03:43.233878Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:35:07.025550Z

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 8e3af21d-5600-406b-a4ee-38cf1f9573e8 · inbound

The Game-Theoretic Symbiosis of Trust and AI in Networked Systems cites this paper.

The Game-Theoretic Symbiosis of Trust and AI in Networked Systems PenHeal: A Two-Stage LLM Framework for Automated Pentesting and Optimal Remediation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T17:11:08.837592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:11:08.837592Z digest=sha256:4dba60309f4b8bd2abcb60e47519ecbd6e8b208d1b31a4c1df821a93b57e4a1d

Observation dc595a1b-1618-4bcf-879c-c66540a5251c · inbound

Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy? cites this paper.

Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy? PenHeal: A Two-Stage LLM Framework for Automated Pentesting and Optimal Remediation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T12:03:43.233878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:03:43.233878Z digest=sha256:e114e6de08b5b240420ddc9b76ae5b069ef962645c96c8996f618d7535b8ddf8

Observation 9c47e9ee-98eb-4b56-9308-f1b64df907ec · inbound

Eradicating the Unseen: Detecting, Exploiting, and Remediating a Path Traversal Vulnerability across GitHub cites this paper.

Eradicating the Unseen: Detecting, Exploiting, and Remediating a Path Traversal Vulnerability across GitHub PenHeal: A Two-Stage LLM Framework for Automated Pentesting and Optimal Remediation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T14:01:01.769802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:01.769802Z digest=sha256:a2baac77995b89f344f5838457389b8d32d83229550c0930743dc4c43b188061

Observation d326bf29-32f0-4432-a82b-45699265daed · inbound

Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges cites this paper.

Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges PenHeal: A Two-Stage LLM Framework for Automated Pentesting and Optimal Remediation

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:35:07.054889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:35:03.833812Z digest=sha256:68bdd883b54fc347a9501eb636ce0370b167ac3d37522e48c722cb9936c4a792