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◬ AI & Machine Learning
The Decentralisation Paradox in Digital Identity: Centralising Decentralisation with Digital Wallets?

arXiv:2603.16403v1 Announce Type: new Abstract: Digital identity is shifting from service- and network-centric approaches toward user-centric ones that promise users increased control over their data.…

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◬ AI & Machine Learning
Poisoning the Pixels: Revisiting Backdoor Attacks on Semantic Segmentation

arXiv:2603.16405v1 Announce Type: new Abstract: Semantic segmentation models are widely deployed in safety-critical applications such as autonomous driving, yet their vulnerability to backdoor attacks…

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◬ AI & Machine Learning
SAMSEM -- A Generic and Scalable Approach for IC Metal Line Segmentation

arXiv:2603.16548v1 Announce Type: new Abstract: In light of globalized hardware supply chains, the assurance of hardware components has gained significant interest, particularly in cryptographic appli…

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◬ AI & Machine Learning
Malicious Or Not: Adding Repository Context to Agent Skill Classification

arXiv:2603.16572v1 Announce Type: new Abstract: Agent skills extend local AI agents, such as Claude Code or Open Claw, with additional functionality, and their popularity has led to the emergence of d…

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◬ AI & Machine Learning
SynthChain: A Synthetic Benchmark and Forensic Analysis of Advanced and Stealthy Software Supply Chain Attacks

arXiv:2603.16694v1 Announce Type: new Abstract: Advanced software supply chain (SSC) attacks are increasingly runtime-only and leave fragmented evidence across hosts, services, and build/dependency la…

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◬ AI & Machine Learning
Ember: A Serverless Peer-to-Peer End-to-End Encrypted Messaging System over an IPv6 Mesh Network

arXiv:2603.16735v1 Announce Type: new Abstract: This paper presents Ember, a serverless peer-to-peer messaging system providing end-to-end encrypted communication over a decentralised IPv6 mesh networ…

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◬ AI & Machine Learning
Quantum-Secure-By-Construction (QSC): A Paradigm Shift For Post-Quantum Agentic Intelligence

arXiv:2603.15668v1 Announce Type: cross Abstract: As agentic artificial intelligence systems scale across globally distributed and long lived infrastructures, secure and policy compliant communication…

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◬ AI & Machine Learning
Evolving Contextual Safety in Multi-Modal Large Language Models via Inference-Time Self-Reflective Memory

arXiv:2603.15800v1 Announce Type: cross Abstract: Multi-modal Large Language Models (MLLMs) have achieved remarkable performance across a wide range of visual reasoning tasks, yet their vulnerability …

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◬ AI & Machine Learning
KidsNanny: A Two-Stage Multimodal Content Moderation Pipeline Integrating Visual Classification, Object Detection, OCR, and Contextual Reasoning for Child Safety

arXiv:2603.16181v1 Announce Type: cross Abstract: We present KidsNanny, a two-stage multimodal content moderation architecture for child safety. Stage 1 combines a vision transformer (ViT) with an obj…

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◬ AI & Machine Learning
From Torsors to Topoi: An Introduction with a View Toward $\Sigma$-Protocols in Cryptography

arXiv:2603.16274v1 Announce Type: cross Abstract: This paper provides a preparatory introduction to sheaves and topoi, written as a conceptual continuation of the author's earlier introduction to tors…

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◬ AI & Machine Learning
REFORGE: Multi-modal Attacks Reveal Vulnerable Concept Unlearning in Image Generation Models

arXiv:2603.16576v1 Announce Type: cross Abstract: Recent progress in image generation models (IGMs) enables high-fidelity content creation but also amplifies risks, including the reproduction of copyr…

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◬ AI & Machine Learning
Persistent Device Identity for Network Access Control in the Era of MAC Address Randomization: A RADIUS-Based Framework

arXiv:2603.16745v1 Announce Type: cross Abstract: Modern operating systems increasingly randomize Media Access Control (MAC) addresses to protect user privacy, fundamentally disrupting Network Access …

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◬ AI & Machine Learning
Neural-Symbolic Logic Query Answering in Non-Euclidean Space

arXiv:2603.15633v1 Announce Type: new Abstract: Answering complex first-order logic (FOL) queries on knowledge graphs is essential for reasoning. Symbolic methods offer interpretability but struggle w…

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◬ AI & Machine Learning
NextMem: Towards Latent Factual Memory for LLM-based Agents

arXiv:2603.15634v1 Announce Type: new Abstract: Memory is critical for LLM-based agents to preserve past observations for future decision-making, where factual memory serves as its foundational part. …

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◬ AI & Machine Learning
AIDABench: AI Data Analytics Benchmark

arXiv:2603.15636v1 Announce Type: new Abstract: As AI-driven document understanding and processing tools become increasingly prevalent in real-world applications, the need for rigorous evaluation stan…

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◬ AI & Machine Learning
The Comprehension-Gated Agent Economy: A Robustness-First Architecture for AI Economic Agency

arXiv:2603.15639v1 Announce Type: new Abstract: AI agents are increasingly granted economic agency (executing trades, managing budgets, negotiating contracts, and spawning sub-agents), yet current fra…

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◬ AI & Machine Learning
Form Follows Function: Recursive Stem Model

arXiv:2603.15641v1 Announce Type: new Abstract: Recursive reasoning models such as Hierarchical Reasoning Model (HRM) and Tiny Recursive Model (TRM) show that small, weight-shared networks can solve c…

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◬ AI & Machine Learning
CraniMem: Cranial Inspired Gated and Bounded Memory for Agentic Systems

arXiv:2603.15642v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly deployed in long running workflows, where they must preserve user and task state across many turns. M…

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◬ AI & Machine Learning
GSI Agent: Domain Knowledge Enhancement for Large Language Models in Green Stormwater Infrastructure

arXiv:2603.15643v1 Announce Type: new Abstract: Green Stormwater Infrastructure (GSI) systems, such as permeable pavement, rain gardens, and bioretention facilities, require continuous inspection and …

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◬ AI & Machine Learning
Did You Check the Right Pocket? Cost-Sensitive Store Routing for Memory-Augmented Agents

arXiv:2603.15658v1 Announce Type: new Abstract: Memory-augmented agents maintain multiple specialized stores, yet most systems retrieve from all stores for every query, increasing cost and introducing…

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◬ AI & Machine Learning
DynaTrust: Defending Multi-Agent Systems Against Sleeper Agents via Dynamic Trust Graphs

arXiv:2603.15661v1 Announce Type: new Abstract: Large Language Model-based Multi-Agent Systems (MAS) have demonstrated remarkable collaborative reasoning capabilities but introduce new attack surfaces…

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◬ AI & Machine Learning
QV May Be Enough: Toward the Essence of Attention in LLMs

arXiv:2603.15665v1 Announce Type: new Abstract: Starting from first principles and a linguistic perspective centered on part-of-speech (POS) and syntactic analysis, this paper explores and derives the…

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◬ AI & Machine Learning
Compiled Memory: Not More Information, but More Precise Instructions for Language Agents

arXiv:2603.15666v1 Announce Type: new Abstract: Existing memory systems for language agents address memory management: how to retrieve and page more information within a context budget. We address a c…

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◬ AI & Machine Learning
A Dynamic Survey of Fuzzy, Intuitionistic Fuzzy, Neutrosophic, Plithogenic, and Extensional Sets

arXiv:2603.15667v1 Announce Type: new Abstract: Real-world phenomena often exhibit vagueness, partial truth, and incomplete information. To model such uncertainty in a mathematically rigorous way, man…

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