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SRCH:695541C0

Robustness Comparison of Llama3.1 and Mistral 7B in Adversarial Code Vulnerability Detection

Submitted: 4 June 2026
Review score: 8.67/10
Verification: L2, Source-grounded claims
Quality tier: DOI grade
Verified claims: 4

Abstract

Abstract: This report synthesises findings from 12 peer-reviewed papers addressing the following research question: How does the robustness of Llama3.1 compare to Mistral 7B in detecting code vulnerabilities when subjected to adversarial syntax perturbations. 4 claims were extracted from source literature; 4 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.7/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research Question

How does the robustness of Llama3.1 compare to Mistral 7B in detecting code vulnerabilities when subjected to adversarial syntax perturbations?

Verification Level

Paper levelL2, Source-grounded claims
Source-grounded claims4
Claim record sourcenot publicly specified

Descriptive public verification status only; aggregate claim counts are public, but individual claim records are not exposed here.

Quality Tier

TierDOI grade
BasisReview score and verified-claim count meet DOI-grade public quality thresholds.

Descriptive public triage only; this tier does not alter current publication or DOI behavior.

Quality Dimensions

Evidence strength MEDIUM
Citation grounding MEDIUM
Uncertainty disclosure MEDIUM
Reproducibility status MEDIUM

Automated triage signals derived from public fields; not human peer review or independent validation.

Correction Record

StatusCURRENT
Correction count0
Manifest contractpaper-manifest-v1.1
Correction contractcorrection-record-v1

Public corrections are additive records. Current status does not claim the synthesis is error-free.

Provenance

PublisherAssignee Research
Public provenanceL3, Claim aggregate record
Report artifactAvailable
External recordNot registered
Claim lineage4 aggregate source-grounded claims
Review methodAutomated multi-reviewer assessment
Quality guideHow to read scores, claims, manifests, and evidence links
Provenance contractsource-provenance-v1
NoteMachine-generated synthesis of existing literature. Not primary research.