Quantum Logic as the Logic of Contexts
We argue for the opposite order of explanation in a finite and fully computable setting. The free orthomodular lattice…
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We argue for the opposite order of explanation in a finite and fully computable setting. The free orthomodular lattice…

Evolutionary computation (EC) provides a computational basis for feedback-driven discovery because population-based…

What, then, is the equivalent catalyst needed to achieve a general-purpose model in computer vision? In this paper, we…

Mortensen View a PDF of the paper titled Phone Segmentation and Recognition through Phonological Activation Mapping,…

Unlike classical contextual bandits that rely solely on bandit feedback and assume conditional independence across…

These models often encode domain-specific knowledge into their graph encoding modules, which increases their parameter…

We study this gap in two oracle-evaluable domains with contrasting structure: Connect Four, a solved partisan game…

Currently, mitigating this premature termination requires continuous human-in-the-loop supervision. This heavy…

Computer Science > Software Engineering arXiv:2607.08981 (cs) [Submitted on 9 Jul 2026] Title:The Patchwork Problem in…

Computer Science > Robotics arXiv:2607.08974 (cs) [Submitted on 9 Jul 2026] Title:CLAP: Direct VLM-to-VLA Adaptation…

We introduce MultiView-Bench, a diagnostic benchmark expressly designed to evaluate multi-view integration for…

When a specification admits multiple readings but the supervision channel does not reveal which is operative,…

We present Eluna, a production-deployed agentic system for reliable SOP execution. Eluna is a graph-guided,…

Using a novel architecture inspired by previous QCNN and classical convolutional neural network (CNN) implementations,…

Standard methods inject stochasticity in the action space, but such jitter only yields rollouts close to the original.…

However, existing biological resources, such as molecular databases, protein repositories, genomic annotations,…

We present a diffusion-based synthesis pipeline for low-resource sand-boil imagery. Using Stable Diffusion XL…

Existing reinforcement learning (RL) approaches learn fixed strategies for sepsis treatment, limiting adaptability to…

We extend the LLaMEA framework to MOBO, using large language models as mutation and crossover operators within…

Pruning techniques that introduce sparsity into weight matrices can accelerate inference. However, maintaining model…

Recognizing the value of data, data transactions are increasingly common, giving rise to many data marketplaces, e.g.,…

Computer Science > Machine Learning arXiv:2607.08784 (cs) [Submitted on 13 Jun 2026] Title:HERO: A Heterogeneity-Aware…

Recent advances have extended Deep Neural Networks (DNNs) to operate on manifolds, accompanied by normalization…

Its efficiency depends on the communication and computation latencies of the GPUs, which are linked to the placement…

We show that this coupling can instead serve as an alignment interface: by matching noise and data according to a…

Existing remedies are either system-level (caching heuristics) or post-hoc (router fine-tuning), leaving the root…

Computer Science > Machine Learning arXiv:2607.08779 (cs) [Submitted on 12 Jun 2026] Title:Signed Symmetric…

Predicting AD conversion during the prodromal stage remains critical for disease understanding and patient care. As…

In this paper, we propose a unified approach to explore the common mechanism of various KD methods using interactions.…

Computer Science > Software Engineering arXiv:2607.07738 (cs) [Submitted on 7 Jul 2026] Title:REFORGE: A Method for…

This paper develops a quantum-like extension of the Tug-of-War (QTOW) decision-making model to clarify when such…

We introduce ConceptSMILE, a model-agnostic perturbation-based auditing framework for evaluating the reliability of…

However, existing frameworks typically call APIs based on coarse-grained matching between tasks and the functions of…

Computer Science > Artificial Intelligence arXiv:2607.09586 (cs) [Submitted on 10 Jul 2026] Title:TrustX Agent Risk…

The relevant unit of value is not prediction accuracy alone, but the defensibility of the supported decisions: their…

These are powerful capabilities, but they share a structural limitation: the representational frame within which the…

In multimodal clinical oncology, diagnostic modalities follow a clinically mandated order of escalating burden -- from…

Naively persisting entire conversation histories is token-inefficient and counterproductive: irrelevant context…

This risk is amplified when visual evidence is evaluated by text-only or weakly grounded rewards. We study reward…

We propose a semantic framework to describe AI systems, to be able to examine the correctness of such representations.…

While explicit goals may render certain actions optimal, implicit social norms often impose hidden constraints.…

On-policy distillation (OPD) provides dense teacher guidance and typically improves rapidly in the early stage, but…

The paper introduces a unified training paradigm that equips large language model agents with internal world modeling…

Planning, a core component of intelligent behavior, remains challenging for LLMs, which often produce infeasible or…

The paper presents Tree of Evidence (ToE), a hierarchical framework for automated claim verification that builds…

Specifically, for reasoning-based MLLMs, fast thinking by triggering direct answers often outperforms slow thinking…

However, their lived experiences with these tools remain largely underexamined. This paper proposes DysLexLens, a…

Computers create the Internet, and the Internet empowers the value of computers. The rapid development of the…

Computer Science > Artificial Intelligence arXiv:2606.27443 (cs) [Submitted on 25 Jun 2026] Title:When Does…

A foundry is an organized sheaf of knowledge that carries within it an argumentation component. Concrete foundries are…