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◬ AI & Machine Learning Jun 24, 2026
The Geometry Behind Diffusion and Flow Matching: Gradient Flows and Geodesics in Wasserstein Space

arXiv:2606.24157v1 Announce Type: new Abstract: The space $\mathcal{P}_2(\mathbb{R}^d$) of probability measures with finite second moment carries a natural geometry: the quadratic Wasserstein distance…

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◬ AI & Machine Learning Jun 24, 2026
T2D-Bench: Evidence-Gated Evaluation of LLM Outputs for Type 2 Diabetes Using a Multi-Layer Clinical-Lifestyle Knowledge Graph

arXiv:2606.24145v1 Announce Type: new Abstract: Large language models (LLMs) can produce clinically fluent recommendations for type 2 diabetes while failing to satisfy guideline constraints or explici…

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◬ AI & Machine Learning Jun 24, 2026
OmniPath: A Multi-Modal Agentic Framework for Auditing Wheelchair Accessibility

arXiv:2606.24129v1 Announce Type: new Abstract: For a wheelchair user, a standard blue line on a map is often a broken promise. While platforms like OpenStreetMap (OSM) successfully capture where a pa…

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◬ AI & Machine Learning Jun 24, 2026
VeryTrace: Verifying Reasoning Traces through Compilable Formalism and Structured Verification

arXiv:2606.24124v1 Announce Type: new Abstract: Multi-step reasoning with Chain-of-Thought (CoT) prompting remains fragile: logical errors or hallucinations in early steps silently propagate, producin…

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◬ AI & Machine Learning Jun 24, 2026
ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection

arXiv:2606.24112v1 Announce Type: new Abstract: Multimodal misinformation detection is increasingly important because viral posts now combine long multilingual narratives, several images, mixed proven…

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◬ AI & Machine Learning Jun 24, 2026
Exploring Academic Influence of Algorithms by Co-occurrence Network Based on Full-text of Academic Papers

arXiv:2606.24099v1 Announce Type: new Abstract: Algorithms have become central to scientific research in the era of artificial intelligence (AI). Although algorithm mentions in papers are often used t…

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◬ AI & Machine Learning Jun 24, 2026
Beyond Trajectory Imitation: Strategy-Guided Policy Optimization for LLM Reasoning

arXiv:2606.24064v1 Announce Type: new Abstract: Distilling reasoning capabilities from strong to weak language models typically involves imitating specific solution trajectories, effectively transferr…

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◬ AI & Machine Learning Jun 24, 2026
Ensemble Feature Selection and Harris Hawks Optimization for Explainable Mental Health Risk Prediction in Female Sex Workers

arXiv:2606.24047v1 Announce Type: new Abstract: One of the significant mental health issues affecting female sex workers (FSWs) is mental disorders, especially depression. Exposure to violence, stigma…

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◬ AI & Machine Learning Jun 24, 2026
Breaking the Filter Bubble: A Semantic Pareto-DQN Framework for Multi-Objective Recommendation

arXiv:2606.24042v1 Announce Type: new Abstract: Recommender systems often induce filter bubbles and semantic homogenization by monolithically optimizing for immediate user engagement. Standard single-…

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◬ AI & Machine Learning Jun 24, 2026
Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability?

arXiv:2606.24026v1 Announce Type: new Abstract: Mechanistic interpretability has made substantial progress in automatically localizing circuits, but explaining what localized components do remains lab…

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◬ AI & Machine Learning Jun 24, 2026
Reinforcement Learning Towards Broadly and Persistently Beneficial Models

arXiv:2606.24014v1 Announce Type: new Abstract: As AI systems are deployed across increasingly diverse and high-stakes settings, model alignment must generalize beyond the tasks and domains seen durin…

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◬ AI & Machine Learning Jun 24, 2026
Safe and Generalizable Hierarchical Multi-Agent RL via Constraint Manifold Control

arXiv:2606.24010v1 Announce Type: new Abstract: Multi-agent systems are widely used in safety-critical applications that require coordinated behavior under strict safety constraints. Existing approach…

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◬ AI & Machine Learning Jun 24, 2026
Critique of Agent Model

arXiv:2606.23991v1 Announce Type: new Abstract: What is an agent? What constitutes agency? With the rise of Large Language Model (LLM) systems marketed as ``coding agents'', ``AI co-scientists'', and …

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◬ AI & Machine Learning Jun 24, 2026
Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs

arXiv:2606.23938v1 Announce Type: new Abstract: Driving VLA models incorporating Chain-of-Thought (CoT) reasoning are attractive because they leverage pretrained VLM representations and expose interme…

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◬ AI & Machine Learning Jun 24, 2026
RIFT-Bench: Dynamic Red-teaming For Agentic AI Systems

arXiv:2606.23927v1 Announce Type: new Abstract: Agentic AI systems powered by large language models (LLMs) are rapidly evolving into autonomous decision-making systems, exposing attack vectors beyond …

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◬ AI & Machine Learning Jun 24, 2026
ORQ: Complex Analytics on Private Data with Strong Security Guarantees

arXiv:2509.10793v2 Announce Type: replace Abstract: We present ORQ, a system that enables collaborative analysis of large private datasets using cryptographically secure multi-party computation (MPC).…

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◬ AI & Machine Learning Jun 24, 2026
FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection

arXiv:2508.18684v2 Announce Type: replace Abstract: Signature-based Intrusion Detection Systems (IDS) detect malicious activity by matching network or host events against predefined rules. Security an…

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◬ AI & Machine Learning Jun 24, 2026
Leader Rotation Is Not Enough: Scrutinizing Leadership Democracy of Chained BFT Consensus

arXiv:2501.02970v2 Announce Type: replace Abstract: With the growing popularity of blockchains, modern chained BFT protocols combining chaining and leader rotation to obtain better efficiency and lead…

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◬ AI & Machine Learning Jun 24, 2026
A Systematic Literature Review on the NIS2 Directive

arXiv:2412.08084v2 Announce Type: replace Abstract: The second network and information security (NIS2) directive was enacted in the European Union (EU) in late 2022. It deals particularly with Europea…

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◬ AI & Machine Learning Jun 24, 2026
On the Limits of Stretching Quantum Pseudorandomness

arXiv:2606.24736v1 Announce Type: cross Abstract: Pseudorandom states, introduced by Ji, Liu, and Song (CRYPTO '18), are quantum analogues of classical pseudorandom generators. A fundamental property …

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◬ AI & Machine Learning Jun 24, 2026
Discrepancy for Random Linear Codes

arXiv:2606.24471v1 Announce Type: cross Abstract: We prove that random linear codes have nearly optimal discrepancy properties in a broad range of regimes. Our main results are two general theorems: o…

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◬ AI & Machine Learning Jun 24, 2026
AutoSpec: Safety Rule Evolution for LLM Agents via Inductive Logic Programming

arXiv:2606.24245v1 Announce Type: cross Abstract: Large language model (LLM) agents increasingly automate complex tasks by integrating language models with external tools and environments. However, th…

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◬ AI & Machine Learning Jun 24, 2026
Inside Crypter-as-a-Service: An Ecosystem Analysis of the exploit.in Underground Forum Research Talks

arXiv:2606.24226v1 Announce Type: cross Abstract: Crypter-as-a-Service (CraaS) has become a key enabling layer of the contemporary malware economy by providing on-demand evasion capabilities through u…

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◬ AI & Machine Learning Jun 24, 2026
Decoherence as Defence and the Magnitude of Noise Regularisation: A Rigorous N -Qubit Theory of Stochastic Quantum Neural Networks for Adversarially Robust Network Intrusion Detection

arXiv:2606.24219v1 Announce Type: cross Abstract: Stochastic quantum neural networks (SQNNs) encode neuronal activations as qubits, synaptic topology as entanglement, and neural noise through a Lindbl…

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