Tootfinder

ExpliCIT-QA: Explainable Code-Based Image Table Question Answering
Maximiliano Hormaz\'abal Lagos, \'Alvaro Bueno S\'aez, Pedro Alonso Doval, Jorge Alcalde Vesteiro, H\'ector Cerezo-Costas
https://arxiv.org/abs/2507.11694

ExpliCIT-QA: Explainable Code-Based Image Table Question Answering
We present ExpliCIT-QA, a system that extends our previous MRT approach for tabular question answering into a multimodal pipeline capable of handling complex table images and providing explainable answers. ExpliCIT-QA follows a modular design, consisting of: (1) Multimodal Table Understanding, which uses a Chain-of-Thought approach to extract and transform content from table images; (2) Language-based Reasoning, where a step-by-step explanation in natural language is generated to solve the prob…

Former Univision anchor Jorge Ramos and his daughter Paola Ramos launch The Moment, a new English-language podcast targeting English-speaking Latinos (New York Times)
https://www.nytimes.com/2025/09/15/business…

Jorge Ramos Tries Something New, Next to His Daughter: A Show in English
Mr. Ramos, the longtime anchor for Univision, and his daughter are trying to tap into the growing number of Hispanics who consume media in English.

Anthem 2.0: Automated Reasoning for Answer Set Programming
Jorge Fandinno, Christoph Glinzer, Zachary Hansen, Jan Heuer, Yuliya Lierler, Vladimir Lifschitz, Torsten Schaub, Tobias Stolzmann
https://arxiv.org/abs/2507.11704

Anthem 2.0: Automated Reasoning for Answer Set Programming
Anthem 2.0 is a tool to aid in the verification of logic programs written in an expressive fragment of Clingo's input language named mini-gringo, which includes arithmetic operations and simple choice rules but not aggregates. It can translate logic programs into formula representations in the logic of here-and-there, and analyze properties of logic programs such as tightness. Most importantly, Anthem 2.0 can support program verification by invoking first-order theorem provers to confirm that a…

Short question to anyone with a Mobilizon account:
If I send you from Mastodon a private message, are you able to receive it / read it in Mobilzon? Thx.
(I'm still waiting for an answer, so maybe it's just not working...)
#fediverse #mastodon

Zahl der Toten in Jarowa erhöht sich auf 24
Die Zahl der Toten nach dem russischen Angriff in der ukrainischen Ortschaft Jarowa ist nach ukrainischen Angaben auf 24 gestiegen. Die russische Armee habe eine Lenkbombe auf das Zentrum Jarowas abgefeuert, die sich in der Region Donezk nur rund zehn Kilometer von der Front entfernt befindet, erklärte Innenminister Ihor Klymenko im Onlinedienst Telegram. 19 weitere Menschen seien b…
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Ukraine-Liveblog: ++ Selenskyj fordert schnelle Hilfe bei Flugabwehr ++
Der ukrainische Präsident Selenskyj bittet die Verbündeten um rasche Hilfe bei der Flugabwehr. Finnland sieht in der Senkung des Ölpreis-Deckels eine wirksame Methode, um Russlands Finanzen zu schwächen.

Ukraine: 81-Jährige bei Angriffen auf Cherson getötet
Bei russischen Angriffen auf die Stadt Cherson ist nach ukrainischen Angaben eine 81-jährige Frau getötet worden. Eine 53-Jährige sei bei dem Artillerieangriff in den frühen Morgenstunden verletzt worden, teilte die Staatsanwaltschaft im Onlinedienst Facebook mit. Die Frau wurde demnach in ein Krankenhaus eingeliefert.
Zudem wurde nach Angaben der Militärverwaltung ein 56…
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Ukraine-Liveblog: ++ Ukraine meldet Angriffe auf Energieinfrastruktur ++
Russland hat laut der ukrainischen Regierung in der Nacht die Energieinfrastruktur in mehreren Regionen angegriffen. Der US-Gesandte Witkoff will sich nach eigenen Angaben noch diese Woche mit Vertretern der Ukraine treffen.

Empirical Evaluation of a 5G Transparent Clock for Time Synchronization in a TSN-5G Network
Julia Caleya-Sanchez, Pablo Mu\~noz, Jorge S\'anchez-Garrido, Emilio Florent\'in, Felix Delgado-Ferro, Pablo Rodriguez-Martin, Pablo Ameigeiras
https://arxiv.org/abs/2509.06454

Empirical Evaluation of a 5G Transparent Clock for Time Synchronization in a TSN-5G Network
Time synchronization is essential for industrial IoT and Industry 4.0/5.0 applications, but achieving high synchronization accuracy in Time-Sensitive Networking (TSN)-5G networks is challenging due to jitter and asymmetric delays. 3GPP TS 23.501 defines three 5G synchronization modes: time-aware system, boundary clock (BC), and transparent clock (TC), where TC offers a promising solution. However, to the best of our knowledge, there is no empirical evaluation of TC in a TSN-5G network. This pap…

Impurities in cryogenic solids: a new platform for hybrid quantum systems
Andrew N. Kanagin, Nikolaus de Zordo, Andreas Angerer, Wenzel Kersten, Nikolaos Lagos, Joerg Schmiedmayer, Elena S. Redchenko
https://arxiv.org/abs/2508.21651

Impurities in cryogenic solids: a new platform for hybrid quantum systems
Hybrid quantum systems offer a promising platform for studying quantum phenomena and developing applied technologies, benefiting from the individual strengths of their components. Here, we present a novel hybrid quantum platform composed of solid noble gas crystals doped with spin impurities atop superconducting resonators. The noble gas crystals provide a soft, inert, predominantly spin-0 host matrix for the atomic impurities, while the alkali atoms have addressable and long-lived hyperfine tr…

Cowboys conclude preseason as Parsons looks on https://www.espn.com/nfl/story/_/id/46054582/dallas-cowboys-conclude-preseason-schedule-micah-parsons-looks-on

Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models
Juraj Vladika, Mahdi Dhaini, Florian Matthes
https://arxiv.org/abs/2509.04304 htt…

Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models
The growing capabilities of Large Language Models (LLMs) show significant potential to enhance healthcare by assisting medical researchers and physicians. However, their reliance on static training data is a major risk when medical recommendations evolve with new research and developments. When LLMs memorize outdated medical knowledge, they can provide harmful advice or fail at clinical reasoning tasks. To investigate this problem, we introduce two novel question-answering (QA) datasets derived…