Agentic interpretation uses lattices to track LLM judgments on decomposed program claims during analysis.
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3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3representative citing papers
LLM-based security code review is vulnerable to framing bias, with a novel iterative refinement attack achieving 100% success in reintroducing vulnerabilities across real projects.
Primacy, anchoring, and order-dependence are architecturally necessary in autoregressive models due to causal masking constraints, with supporting evidence from theorems, LLM fits, and human experiments.
citing papers explorer
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Agentic Interpretation: Lattice-Structured Evidence for LLM-Based Program Analysis
Agentic interpretation uses lattices to track LLM judgments on decomposed program claims during analysis.
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Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review
LLM-based security code review is vulnerable to framing bias, with a novel iterative refinement attack achieving 100% success in reintroducing vulnerabilities across real projects.
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Bias by Necessity: Impossibility Theorems for Sequential Processing with Convergent AI and Human Validation
Primacy, anchoring, and order-dependence are architecturally necessary in autoregressive models due to causal masking constraints, with supporting evidence from theorems, LLM fits, and human experiments.