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Focus Shifts to Structured and Verifiable AI Development

The observed trend moves beyond simple model capability improvements toward building highly reliable systems that function within complex, real-world constraints. This is evidenced by the focus on using composable architecture frameworks or subjecting AI to rigorous validation through high-difficulty benchmarks like the Ramanujan Challenge. Furthermore, securing efficiency and robustness has become a critical concern across diverse domains, from optimizing RAG performance to streamlining embedded system security patches.

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arXivAugust 4, 2026

Vulnerability Detection in AArch64 Machine Code Using a Digital Twin

English summary not available yet. You can still read the original source.

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AArch64 기계어에서 소스 코드 없이 취약점을 탐지하기 위해 설명 가능한 디지털 트윈 기술을 제안합니다. 디지털 트윈을 통해 프로그램 실행 상태를 재현하고, 클레이니 대수 기반의 심볼릭 규칙을 유한 오토마타로 컴파일하여 취약점을 탐지합니다.

aarch64
digital-twin
vulnerability-detection
machine-code
symbolic-execution

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Focus Shifts to Structured and Verifiable AI Development

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Focus Shifts to Structured and Verifiable AI Development

Vulnerability Detection in AArch64 Machine Code Using a Digital Twin

Lossless Tensor Compression as Program Synthesis

Stress-Relief Annealing: Polynomial-Time Simulation-Free Layout Optimization for Automated Warehouses

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks

WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA

Decoy Images Amplify Caption-Mediated Defenses Against Encoded Jailbreaks

CallScreenBench: Benchmarking On-Device Models as Phone Secretaries

Control Under Compression: Reliability Frontiers for Tool-Using Agents

DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text

Credit the Right Box: Marginal Contribution Assignment for Structured Visual Perception

Role-Decoupled Attention Residuals: Separating Matching and Content Retrieval Across Depth

Who Belongs in the Eval Set? A Capability-Taxonomy-Driven Pipeline for Curating Regression Eval Sets in Agent-Extensibility Platforms

Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP

The Fourth Quadrant: A Stylized View of Benign Misfitting

Using Lower-Bound Representations for Trajectory Similarity Learning

Caliber: Cross-Architecture Extraction-Cost Control for Score-Returning APIs

FactorJEPA: Factorizing Monolithic Futures into Layout-Agent-Interaction Channels for Crowded and Chaotic Global South Urban Worlds

Logit-Origin Centering for Singleton Test-Time Adaptation

MiniMax H3, ComfyUI 출시 당일 지원 — 오픈 가중치·네이티브 오디오·2K 영상

Analyzing RV32/RV64 Trade-offs for FreeRTOS Latency on 8-Stage RISC-V Soft Processors