Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2504.07137.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:30:09.336820Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T06:49:38.743694Z
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 cfd59e5b-9c1a-43ba-85b1-3191eabaffb8 · inbound
Weakest Link in the Chain: Security Vulnerabilities in Advanced Reasoning Models cites this paper.
Weakest Link in the Chain: Security Vulnerabilities in Advanced Reasoning Models Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:30:09.336820Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33c2d988-3bd7-4de8-a68f-2154e7e9e01a · inbound
TraceRAG: A LLM-Based Framework for Explainable Android Malware Detection and Behavior Analysis cites this paper.
TraceRAG: A LLM-Based Framework for Explainable Android Malware Detection and Behavior Analysis Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:52:33.310756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38589da4-6659-474a-b8f3-a3e23ad229e2 · inbound
Can Small GenAI Language Models Rival Large Language Models in Understanding Application Behavior? cites this paper.
Can Small GenAI Language Models Rival Large Language Models in Understanding Application Behavior? Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:04:10.062111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4366844-2655-421d-aced-66693a66c7d6 · inbound
Taint-Style Vulnerability Detection and Confirmation for Node.js Packages Using LLM Agent Reasoning cites this paper.
Taint-Style Vulnerability Detection and Confirmation for Node.js Packages Using LLM Agent Reasoning Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:59:49.640706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f9e56d3d-99c5-4e0e-a408-dfb58b870657 · inbound
LCC-LLM: Leveraging Code-Centric Large Language Models for Malware Attribution cites this paper.
LCC-LLM: Leveraging Code-Centric Large Language Models for Malware Attribution Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:21:08.659540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 04dd216c-6029-4310-a639-803a9b1a94fd · inbound
LLM-assisted Generation of Pseudo-C2 Servers for IoT Malware Dynamic Analysis cites this paper.
LLM-assisted Generation of Pseudo-C2 Servers for IoT Malware Dynamic Analysis Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T06:49:38.745457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.