Biomedical systems biology workflow orchestration and execution with PoSyMed
2026-04-24T08:51:45Z•8f025a896c42c5cfbfc93fa0a26bf0a4c3240b86bb8ab7a1664bf43657a88b48
AI-governanceCVE-evaluationLLMsSBOMSCAbenchmarkingcode-similaritydata-leakagememorizationparallel-codeperformance-profilingprogram-repairprogram-verificationprompt-engineeringreproducibilityresidual-risksoftware-composition-analysissoftware-supply-chainspecification-synthesisstatic-analysisvulnerability-detection
What happened
This collection of recent CS/arXiv papers highlights multiple software-security and software-engineering risks and mitigation directions. Key findings: SBOMs and SCA tools can miss hidden code-level dependencies and component variants, producing inconsistent vulnerability reports and VEX handling; vulnerability detection tooling evaluations are brittle without concrete ground-truth mappings across ecosystems; many patched functions remain semantically/structurally similar to their vulnerable originals (Residual Risk Scoring shows ~61% of high-risk pairs retain residual issues validated by Cpp
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_se
- Record identifier
- 8f025a896c42c5cfbfc93fa0a26bf0a4c3240b86bb8ab7a1664bf43657a88b48
- Enrichment time
- 2026-04-24T08:51:45Z
- AI-assisted enrichment
- Yes
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