Tootfinder

This https://arxiv.org/abs/2504.01359 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Monogenic functions over real alternative *-algebras: fundamental results and applications
The concept of monogenic functions over real alternative $\ast$-algebras has recently been introduced to unify several classical monogenic (or regular) functions theories in hypercomplex analysis, including quaternionic, octonionic, and Clifford analysis. This paper explores the fundamental properties of these monogenic functions, focusing on the Cauchy-Pompeiu integral formula and Taylor series expansion in hypercomplex subspaces, among which the non-commutativity and especially non-associativ…

This https://arxiv.org/abs/2505.24293 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Large Language Models are Locally Linear Mappings
We demonstrate that the inference operations of several open-weight large language models (LLMs) can be mapped to an exactly equivalent linear system for an input sequence without modifying the model weights or altering output predictions. Extending techniques from image diffusion models that exhibit local or piecewise linearity, we strategically alter the gradient computation with respect to a given input sequence for a next-token prediction such that the Jacobian of the model nearly exactly r…

Altermagnetic polarons
Maria Daghofer, Krzysztof Wohlfeld, Jeroen van den Brink
https://arxiv.org/abs/2506.03261 https://arxiv.org/pd…

Altermagnetic polarons
While a spin-dependent band splitting is one of the characteristic features of altermagnets, the conventional band picture itself breaks down in the many altermagnets that are correlated Mott materials. We employ two numerical many-body methods, the self-consistent Born approximation and variational cluster approach, to explore this strongly correlated regime and investigate hole motion in Mott altermagnets. Our results reveal that spin-dependent spectral-weight transfer is the dominant signatu…

WANDER: An Explainable Decision-Support Framework for HPC
Ankur Lahiry, Banooqa Banday, Tanzima Z. Islam
https://arxiv.org/abs/2506.04049 https://

WANDER: An Explainable Decision-Support Framework for HPC
High-performance computing (HPC) systems expose many interdependent configuration knobs that impact runtime, resource usage, power, and variability. Existing predictive tools model these outcomes, but do not support structured exploration, explanation, or guided reconfiguration. We present WANDER, a decision-support framework that synthesizes alternate configurations using counterfactual analysis aligned with user goals and constraints. We introduce a composite trade-off score that ranks sugges…

Efficient Model Checking for the Alternating-Time {\mu}-Calculus via Effectivity Frames
Daniel Hausmann, Merlin Humml, Simon Prucker, Lutz Schr\"oder
https://arxiv.org/abs/2506.01010

Efficient Model Checking for the Alternating-Time μ-Calculus via Effectivity Frames
The semantics of alternating-time temporal logic (ATL) and the more expressive alternating-time μ-calculus (AMC) is standardly given in terms of concurrent game frames (CGF). The information required to interpret AMC formulas is equivalently represented in terms of effectivity frames in the sense of Pauly; in many cases, this representation is more compact than the corresponding CGF, and in principle allows for faster evaluation of coalitional modalities. In the present work, we investigate wh…

A novel test of gravity: Does spacetime geometry track matter density?
Camille Bonvin, Nastassia Grimm, Isaac Tutusaus
https://arxiv.org/abs/2506.04387 htt…

A novel test of gravity: Does spacetime geometry track matter density?
We propose a novel test of gravity that combines galaxy clustering with gravitational lensing. In general relativity, the evolution of matter density fluctuations and of the Weyl potential -- the sum of spatial and temporal distortions of the geometry -- are governed by the same growth function. In contrast, alternative theories of gravity that modify the relation between geometry and matter content can lead to differences in these two growths. Exploiting a recent method to directly measure the…

De Russen
Google Maps can’t explain why it falsely labeled German autobahns as closed - Ars Technica
https://arstechnica.com/tech-policy/2025/05/google-maps-cant-explain-why-it-falsely-labeled-german-aut…

This https://arxiv.org/abs/2502.14879 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Limited attention and models of choice: A behavioral equivalence
We show that many models of choice can be alternatively represented as special cases of choice with limited attention (Masatlioglu, Nakajima, and Ozbay, 2012), singling out the properties of the unobserved attention filters that explain the observed choices.For each specification, information about the DM's consideration sets and preference is inferred from violations of the contraction consistency axiom, and it is compared with the welfare indications obtained from equivalent models. Remarkabl…

First-Principles and Machine Learning Investigation of the Structural and Optoelectronic Properties of Dodecaphenylyne: A Novel Carbon Allotrope
Kleuton A. L. Lima, Jose A. S. Laranjeira, Nicolas F. Martins, Julio R. Sambrano, Alexandre C. Dias, Luiz A. Ribeiro Junior, Douglas S. Galvao
https://arxiv.org/abs/2506.02218

First-Principles and Machine Learning Investigation of the Structural and Optoelectronic Properties of Dodecaphenylyne: A Novel Carbon Allotrope
We report the computational discovery and characterization of Dodecaphenylyne (DP), a novel carbon allotrope with a distinctive geometric arrangement. DP structural, thermodynamic, mechanical, electronic, and optical properties were evaluated using density functional theory and a machine learning interatomic potential trained explicitly for this material. The formation energy of -7.98 eV/atom indicates high thermodynamic stability, further supported by the absence of imaginary phonon modes and …

Beyond just predicting words, LLMs interpolate meaning between data points, as in the recent phenomenon of AI explaining fake idioms like "you can’t lick a badger twice." The danger is that made-up "truths" will fuel future models
https://www.