Tootfinder

Hierarchy or Heterarchy? A Theory of Long-Range Connections for the Sensorimotor Brain
Jeff Hawkins (Thousand Brains Project), Niels Leadholm (Thousand Brains Project), Viviane Clay (Thousand Brains Project)
https://arxiv.org/abs/2507.05888

Hierarchy or Heterarchy? A Theory of Long-Range Connections for the Sensorimotor Brain
In the traditional understanding of the neocortex, sensory information flows up a hierarchy of regions, with each level processing increasingly complex features. Information also flows down the hierarchy via a different set of connections. Although the hierarchical model has significant support, many anatomical connections do not conform to the standard hierarchical interpretation. In addition, hierarchically arranged regions sometimes respond in parallel, not sequentially as would occur in a h…

Dynamics of subcritical threshold solutions for the 4d energy-critical NLS
Zuyu Ma, Changxing Miao, Jason Murphy, Jiqiang Zheng
https://arxiv.org/abs/2508.02608 https://

Dynamics of subcritical threshold solutions for the 4d energy-critical NLS
We study dynamics of the 4$d$ energy-critical nonlinear Schrödinger equation at the ground state energy. Previously, Duyckaerts and Merle [Geom. Funct. Anal. (2009)] proved that any radial solution with kinetic energy less than that of the ground state either scatters in both time directions or coincides (modulo symmetries) with a heteroclinic orbit, which scatters in one time direction and converges to the ground state in the other. We extend this result to the non-radial setting.

A Learned Cost Model-based Cross-engine Optimizer for SQL Workloads
Andr\'as Strausz, Niels Pardon, Ioana Giurgiu
https://arxiv.org/abs/2506.02802 http…

A Learned Cost Model-based Cross-engine Optimizer for SQL Workloads
Lakehouse systems enable the same data to be queried with multiple execution engines. However, selecting the engine best suited to run a SQL query still requires a priori knowledge of the query computational requirements and an engine capability, a complex and manual task that only becomes more difficult with the emergence of new engines and workloads. In this paper, we address this limitation by proposing a cross-engine optimizer that can automate engine selection for diverse SQL queries throu…

Dynamics and Coherence for the Free Cornering with Protocol Choice
Chad Nester, Niels Voorneveld
https://arxiv.org/abs/2508.00633 https://arxiv.org/pdf/250…

Dynamics and Coherence for the Free Cornering with Protocol Choice
We present a term rewriting system that models the dynamic aspects of the free cornering with protocol choice of a monoidal category, which has been proposed as a categorical model of process interaction. This term rewriting system is confluent and terminating in an appropriate sense. We use this machinery to prove a coherence theorem for the free cornering with protocol choice.

Decision-oriented Text Evaluation
Yu-Shiang Huang, Chuan-Ju Wang, Chung-Chi Chen
https://arxiv.org/abs/2507.01923 https://arxiv.org/p…

Decision-oriented Text Evaluation
Natural language generation (NLG) is increasingly deployed in high-stakes domains, yet common intrinsic evaluation methods, such as n-gram overlap or sentence plausibility, weakly correlate with actual decision-making efficacy. We propose a decision-oriented framework for evaluating generated text by directly measuring its influence on human and large language model (LLM) decision outcomes. Using market digest texts--including objective morning summaries and subjective closing-bell analyses--as…

Dynamical-System analysis of single-axion monodromy inflation with periodically-modulated potentials
Panagiotis Dorlis, Nick E. Mavromatos, Sotirios-Neilos Vlachos, Makarios Vyros
https://arxiv.org/abs/2507.02746

Dynamical-System analysis of single-axion monodromy inflation with periodically-modulated potentials
In this work, we study field theoretic systems of a single axion-like field with linear potentials modulated by cosine terms, allegedly induced by non-perturbative instanton configurations. These systems are considered in expanding-Universe spacetime backgrounds (of Friedman-Lema$\hat{\rm i}$tre-Robertson-Walker type). Using a dynamical-system approach, we classify the various de-Sitter like (inflationary) vacua from the point of view of their stability, which depend on the values of the model …

Revealing emergent many-body phenomena by analyzing large-scale space-time records of monitored quantum systems
Marcel Cech, Cecilia De Fazio, Mar\'ia Cea, Mari Carmen Ba\~nuls, Igor Lesanovsky, Federico Carollo
https://arxiv.org/abs/2507.00944

Revealing emergent many-body phenomena by analyzing large-scale space-time records of monitored quantum systems
Recent advances in quantum simulators permit unitary evolution interspersed with locally resolved mid-circuit measurements. This paves the way for the observation of large-scale space-time structures in quantum trajectories and opens a window for the \emph{in situ} analysis of complex dynamical processes. We demonstrate this idea using a paradigmatic dissipative spin model, which can be implemented, e.g., on Rydberg quantum simulators. Here, already the trajectories of individual experimental r…

This https://arxiv.org/abs/2506.00168 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

A novel sensitivity analysis method for agent-based models stratifies \emph{in-silico} tumor spheroid simulations
Agent-based models (ABMs) are widely used in biology to understand how individual actions scale into emergent population behavior. Modelers employ sensitivity analysis (SA) algorithms to quantify input parameters' impact on model outputs, however, it is hard to perform SA for ABMs due to their computational and complex nature. In this work, we develop the \textbf{S}imulate, \textbf{S}ummarize, \textbf{R}educe, \textbf{C}luster, and \textbf{A}nalyze (SSRCA) methodology, a machine-learning based …

Comment on Decidability of Quasi-Dense Modal Logics by Lyon and Ostropolski-Nalewaja
Olivier Gasquet
https://arxiv.org/abs/2507.11644 https://

Comment on Decidability of Quasi-Dense Modal Logics by Lyon and Ostropolski-Nalewaja
In \cite{Lyon24} the question of the decidability of quasi-dense modal logics is answered, and an upper bound in EXPSPACE is given. Unfortunately, authors' intricate proof contains a major flaw that cannot be fixed, leaving the question wide open. Once identified, this error roughly amounts to assuming that the union of two consistent sets is consistent, which is of course wrong.

A novel sensitivity analysis method for agent-based models stratifies \emph{in-silico} tumor spheroid simulations
Edward H. Rohr, John T. Nardini
https://arxiv.org/abs/2506.00168 …

A novel sensitivity analysis method for agent-based models stratifies \emph{in-silico} tumor spheroid simulations
Agent-based models (ABMs) are widely used in biology to understand how individual actions scale into emergent population behavior. Modelers employ sensitivity analysis (SA) algorithms to quantify input parameters' impact on model outputs, however, it is hard to perform SA for ABMs due to their computational and complex nature. In this work, we develop the \textbf{S}imulate, \textbf{S}ummarize, \textbf{R}educe, \textbf{C}luster, and \textbf{A}nalyze (SSRCA) methodology, a machine-learning based …