src_fb50be84b835134c75
- Source-provided label
- Not reported
- Evidence class
- mentioned in report
- Confidence
- Not reported
- Observed
- Oct 07, 2026 04:00 UTC
- Retrieved
- Oct 08, 2026 03:43 UTC
arXiv:2608.03134v2 Announce Type: replace Abstract: Detecting source code vulnerabilities is increasingly difficult as modern security flaws are rooted in complex causal dependencies between execution flows, control conditions, and program states. Despite recent advances in Large Language Models (LLMs) and multi-agent frameworks, existing approaches primarily address superficial similarities betwe
CLEAR: Causal Context-Based Agentic Reasoning for Vulnerability Detection8a5083d2cba285596fe7fedaa88e2d97b4862bbd28a5986749b6efe15f3a7818Network indicators are visibly defanged. This page does not make them clickable or send them to another service.
No validated file hashes or network indicators are stored for this record.
This record contains metadata and attribution only. It does not host, download, unpack, render, or execute malware samples.
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1 sources: 0 stale, 0 needing attention, 0 paused, 1 unverified.
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