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◬ AI & Machine Learning Apr 15, 2026
Memory as Metabolism: A Design for Companion Knowledge Systems

arXiv:2604.12034v1 Announce Type: new Abstract: Retrieval-Augmented Generation remains the dominant pattern for giving LLMs persistent memory, but a visible cluster of personal wiki-style memory archi…

arXiv AI Read →
◬ AI & Machine Learning Apr 15, 2026
WiseOWL: A Methodology for Evaluating Ontological Descriptiveness and Semantic Correctness for Ontology Reuse and Ontology Recommendations

arXiv:2604.12025v1 Announce Type: new Abstract: The Semantic Web standardizes concept meaning for humans and machines, enabling machine-operable content and consistent interpretation that improves adv…

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◬ AI & Machine Learning Apr 15, 2026
A longitudinal health agent framework

arXiv:2604.12019v1 Announce Type: new Abstract: Although artificial intelligence (AI) agents are increasingly proposed to support potentially longitudinal health tasks, such as symptom management, beh…

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◬ AI & Machine Learning Apr 15, 2026
Identity as Attractor: Geometric Evidence for Persistent Agent Architecture in LLM Activation Space

arXiv:2604.12016v1 Announce Type: new Abstract: Large language models map semantically related prompts to similar internal representations -- a phenomenon interpretable as attractor-like dynamics. We …

arXiv AI Read →
◬ AI & Machine Learning Apr 15, 2026
When to Forget: A Memory Governance Primitive

arXiv:2604.12007v1 Announce Type: new Abstract: Agent memory systems accumulate experience but currently lack a principled operational metric for memory quality governance -- deciding which memories t…

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◬ AI & Machine Learning Apr 15, 2026
The Long-Horizon Task Mirage? Diagnosing Where and Why Agentic Systems Break

arXiv:2604.11978v1 Announce Type: new Abstract: Large language model (LLM) agents perform strongly on short- and mid-horizon tasks, but often break down on long-horizon tasks that require extended, in…

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◬ AI & Machine Learning Apr 15, 2026
Narrative-Driven Paper-to-Slide Generation via ArcDeck

arXiv:2604.11969v1 Announce Type: new Abstract: We introduce ArcDeck, a multi-agent framework that formulates paper-to-slide generation as a structured narrative reconstruction task. Unlike existing m…

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◬ AI & Machine Learning Apr 15, 2026
GoodPoint: Learning Constructive Scientific Paper Feedback from Author Responses

arXiv:2604.11924v1 Announce Type: new Abstract: While LLMs hold significant potential to transform scientific research, we advocate for their use to augment and empower researchers rather than to auto…

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◬ AI & Machine Learning Apr 15, 2026
Self-Monitoring Benefits from Structural Integration: Lessons from Metacognition in Continuous-Time Multi-Timescale Agents

arXiv:2604.11914v1 Announce Type: new Abstract: Self-monitoring capabilities -- metacognition, self-prediction, and subjective duration -- are often proposed as useful additions to reinforcement learn…

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◬ AI & Machine Learning Apr 15, 2026
The Non-Optimality of Scientific Knowledge: Path Dependence, Lock-In, and The Local Minimum Trap

arXiv:2604.11828v1 Announce Type: new Abstract: Science is widely regarded as humanity's most reliable method for uncovering truths about the natural world. Yet the \emph{trajectory} of scientific dis…

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◬ AI & Machine Learning Apr 15, 2026
AnyPoC: Universal Proof-of-Concept Test Generation for Scalable LLM-Based Bug Detection

arXiv:2604.11950v1 Announce Type: cross Abstract: While recent LLM-based agents can identify many candidate bugs in source code, their reports remain static hypotheses that require manual validation, …

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
INTARG: Informed Real-Time Adversarial Attack Generation for Time-Series Regression

arXiv:2604.11928v1 Announce Type: cross Abstract: Time-series forecasting aims to predict future values by modeling temporal dependencies in historical observations. It is a critical component of many…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
LogicEval: A Systematic Framework for Evaluating Automated Repair Techniques for Logical Vulnerabilities in Real-World Software

arXiv:2604.12994v1 Announce Type: new Abstract: Logical vulnerabilities in software stem from flaws in program logic rather than memory safety, which can lead to critical security failures. Although e…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
Parallax: Why AI Agents That Think Must Never Act

arXiv:2604.12986v1 Announce Type: new Abstract: Autonomous AI agents are rapidly transitioning from experimental tools to operational infrastructure, with projections that 80% of enterprise applicatio…

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◬ AI & Machine Learning Apr 15, 2026
Distinguishers for Skew and Linearized Reed-Solomon Codes

arXiv:2604.12954v1 Announce Type: new Abstract: Generalized Reed-Solomon (GRS) and Gabidulin codes have been proposed for various code-based cryptosystems, though most such schemes without elaborate d…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
EXTree: Towards Supporting Explainability in Attribute-based Access Control

arXiv:2604.12850v1 Announce Type: new Abstract: With increasing emphasis on transparency in digital governance, users expect more than silence when their access requests are denied by a system. Howeve…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
Evaluating Differential Privacy Against Membership Inference in Federated Learning: Insights from the NIST Genomics Red Team Challenge

arXiv:2604.12737v1 Announce Type: new Abstract: While Federated Learning (FL) mitigates direct data exposure, the resulting trained models remain susceptible to membership inference attacks (MIAs). Th…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
LLM-Guided Prompt Evolution for Password Guessing

arXiv:2604.12601v1 Announce Type: new Abstract: Passwords still remain a dominant authentication method, yet their security is routinely subverted by predictable user choices and large-scale credentia…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
DeepSeek Robustness Against Semantic-Character Dual-Space Mutated Prompt Injection

arXiv:2604.12548v1 Announce Type: new Abstract: Prompt injection has emerged as a critical security threat to large language models (LLMs), yet existing studies predominantly focus on single-dimension…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
Scaling Exposes the Trigger: Input-Level Backdoor Detection in Text-to-Image Diffusion Models via Cross-Attention Scaling

arXiv:2604.12446v1 Announce Type: new Abstract: Text-to-image (T2I) diffusion models have achieved remarkable success in image synthesis, but their reliance on large-scale data and open ecosystems int…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
VeriX-Anon: A Multi-Layered Framework for Mathematically Verifiable Outsourced Target-Driven Data Anonymization

arXiv:2604.12431v1 Announce Type: new Abstract: Organisations increasingly outsource privacy-sensitive data transformations to cloud providers, yet no practical mechanism lets the data owner verify th…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
Practical Evaluation of the Crypto-Agility Maturity Model

arXiv:2604.12428v1 Announce Type: new Abstract: Cryptographic agility is a key prerequisite for maintaining the long-term security of digital communication, particularly in light of the transition to …

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
Security and Resilience in Autonomous Vehicles: A Proactive Design Approach

arXiv:2604.12408v1 Announce Type: new Abstract: Autonomous vehicles (AVs) promise efficient, clean and cost-effective transportation systems, but their reliance on sensors, wireless communications, an…

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◬ AI & Machine Learning Apr 15, 2026
Tamper-Proofing with Self-Modifying Code

arXiv:2604.12407v1 Announce Type: new Abstract: Classical computability theory tells us that self-modifying code (SMC) on a deterministic universal Turing machine can be simulated by non-SMC code on t…

arXiv Security Read →
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