Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.13597.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:36:29.475877Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T10:16:52.343738Z
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 4378ed49-6bf1-4171-9c77-a216ec25811b · inbound
From Texts to Shields: Convergence of Large Language Models and Cybersecurity cites this paper.
From Texts to Shields: Convergence of Large Language Models and Cybersecurity APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:36:29.475877Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 634b3637-5b83-4130-9a21-2d6d8985144c · 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 APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching
Reference 83
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:01:05.532332Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69978a07-0878-4b0f-8835-fc13aace2e3c · inbound
Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation cites this paper.
Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:56:16.258162Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 565a021c-b7d4-4804-8c0e-a51825386495 · inbound
SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents cites this paper.
SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:10:45.432004Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb635c84-9dec-4f8d-9104-db8951be7082 · inbound
SHIELDS: Automating OS Hardening with Iterative Multi-Agent Remediation cites this paper.
SHIELDS: Automating OS Hardening with Iterative Multi-Agent Remediation APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T10:16:52.345223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.