Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Assessing LLMs in Malicious Code Deobfuscation of Real-world Malware Campaigns
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.19715.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T16:23:46.360969Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T04:50:58.022352Z
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 382b2283-badf-4e5f-90e9-babe704ea219 · inbound
Bypassing Array Canaries via Autonomous Function Call Resolution cites this paper.
Bypassing Array Canaries via Autonomous Function Call Resolution Assessing LLMs in Malicious Code Deobfuscation of Real-world Malware Campaigns
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:23:46.360969Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b82148ae-7b71-45eb-9443-cb1a0821b557 · inbound
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Assessing LLMs in Malicious Code Deobfuscation of Real-world Malware Campaigns
Reference 132
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:24:30.194833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b79c860-3487-46fe-af2c-c2609ad0fd03 · inbound
Benchmarking Large Language Models for IoC Recovery under Adversarial Code Obfuscation and Encryption cites this paper.
Benchmarking Large Language Models for IoC Recovery under Adversarial Code Obfuscation and Encryption Assessing LLMs in Malicious Code Deobfuscation of Real-world Malware Campaigns
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:50:58.028353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.