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Growing Concerns Over AI Code Quality and Security

The feed has recently focused heavily on the advancements of AI agents and the new challenges they introduce to software development. There is a noticeable technical effort to ensure output reliability, seen in tools like 'depgraph' for detecting latent code debt from AI-generated code or the use of adaptive ensemble methods (COVE) for pre-validating LLM outputs. Furthermore, alongside predictions that AI agents will evolve to autonomously manage aspects of human life, there is a concurrent warning about escalating security risks and infrastructure vulnerabilities, indicating significant uncertainty.

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As of Nov 4, 2026, 11:36 PM UTC

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arXivOctober 14, 2026

Lifting: Quantum State Discrimination Framework for Mid-Circuit Measurements

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본 논문은 양자 컴퓨팅의 핵심 과제인 중간 회로 측정(MCMs)을 위한 신뢰성 높은 양자 상태 판별(QSD) 프레임워크 'Lifting'을 제안합니다. Lifting은 반복 인코딩과 신경 디코딩, 그리고 현장 교정을 결합하여 기존 QSD의 오류 한계를 극복하고 동적 환경에서의 정확도를 높입니다.

quantum-computing
qsd
mcm
neural-decoding
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Growing Concerns Over AI Code Quality and Security

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Growing Concerns Over AI Code Quality and Security

Lifting: Quantum State Discrimination Framework for Mid-Circuit Measurements

Simplifying and Improving On-Policy Distillation for Few-Step Diffusion

Recalibrating Many Questions with Few Labels: Minimax Rates and Identification Limits

Two For The Price Of One: Curvature-Aware Pruning Preserves Influence Functions Too

Steering the Fidelity in State Preparation on Noisy Bosonic Systems with Risk-Seeking Optimization

Towards Safe Autonomy for Computer Use

ReTerm: Recovery Training for Self-Improving Terminal Agents

Approximating Optimal Policies in Heterogeneous Asynchronous Multi-player Bandits

SoK: Rethinking Membership Inference in Tabular Machine Learning

How Low Can You Go: Fine-Tuning LLMs with Bayesian Optimization (LlMBO)

Irodori-TTS v4.1의 일본어 발음 및 음성 클로닝 성능 비교 (Fish Audio 대비)

Cisco Turns Its Attention To The Control Layers Of Its Quantum Network

HiPAD: A Unified Gait, Audio-Visual, and Personality Fusion Network for Depression Detection, with a Hierarchical Personality Ablation and the Calibration Limits of Domain-Adapted LLMs

HodgePhaseNet: Discrete Hodge Decomposition of Semantic Flows in Transformer Attention

What Survives When Activation Steering Is Used as Memory

Toward System One Clinical Intelligence: Parameter-Efficient Fine-Tuning and Counterfactual Explainability of Decision Foundation Models

What Drives AI Citations? Content, Retrieval and Model Knowledge in Generative Engine Optimization (GEO)

UltraBERT: Beyond the Limit of BERT Pre-Training

Select or Rewrite: Oracle-Guided Fine-Tuning for Generative ASR Post-Editing from N-Best Hypotheses

Have You Been Convinced? A Neuro-symbolic Argumentation Reasoning Approach to Detecting Persuasiveness in ChangeMyView Discussions