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…

Dual Protection Ring: User Profiling Via Differential Privacy and Service Dissemination Through Private Information Retrieval
Imdad Ullah, Najm Hassan, Tariq Ahamed Ahangar, Zawar Hussain Shah, Mehregan Mahdavi Andrew Levula
https://arxiv.org/abs/2506.13170

Dual Protection Ring: User Profiling Via Differential Privacy and Service Dissemination Through Private Information Retrieval
User profiling is crucial in providing personalised services, as it relies on analysing user behaviour and preferences to deliver targeted services. This approach enhances user experience and promotes heightened engagement. Nevertheless, user profiling also gives rise to noteworthy privacy considerations due to the extensive tracking and monitoring of personal data, potentially leading to surveillance or identity theft. We propose a dual-ring protection mechanism to protect user privacy by exam…

Absolute Calibration of Cluster Mira Variables to Provide a New Anchor for the Hubble Constant Determination
Anupam Bhardwaj, Noriyuki Matsunaga, Caroline D. Huang, Adam G. Riess, Marina Rejkuba
https://arxiv.org/abs/2507.10658

Absolute Calibration of Cluster Mira Variables to Provide a New Anchor for the Hubble Constant Determination
Mira variables in globular clusters can provide an accurate and precise absolute calibration of their period-luminosity relations (PLRs) to independently anchor the cosmic distance scale and determine the Hubble constant. We present homogeneous near-infrared ($JHK_s$) time-series photometric observations of a sample of 55 candidate long-period variables in 18 globular clusters covering a wide metallicity range ($-1.7 < \textrm{[Fe/H]} < -0.1$ dex). The Gaia proper motions, long-period variabili…

#Wordle 1,488 4/6*
⬜🟨⬜⬜🟨 <1% of 214,624 (27)
🟨⬜🟨⬜🟨 6% of 122 (7)
🟨🟨⬜🟨🟩 0 of 19 (2)
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WordleBot
Skill 89/99
Luck 52/99
well that was lol funny. I typed in the answer as my 3rd guess and then thought of another word I liked better so I used that as my 3rd guess. I still like my 3rd guess better as I feel it provided more info though, so I don't feel bad!
Bot had a better 3rd guess that would have left only 1 word no matter which of the 7 words the answer was, instead of the 2 that my guess left.

Can Cowboys profit after investing just $8 million, Day 3 pick in crucial position? https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/07/16/will-sanders-williams-or-rookie-jaydon-blue-e…

Querying Large Automotive Software Models: Agentic vs. Direct LLM Approaches
Lukasz Mazur, Nenad Petrovic, James Pontes Miranda, Ansgar Radermacher, Robert Rasche, Alois Knoll
https://arxiv.org/abs/2506.13171

Querying Large Automotive Software Models: Agentic vs. Direct LLM Approaches
Large language models (LLMs) offer new opportunities for interacting with complex software artifacts, such as software models, through natural language. They present especially promising benefits for large software models that are difficult to grasp in their entirety, making traditional interaction and analysis approaches challenging. This paper investigates two approaches for leveraging LLMs to answer questions over software models: direct prompting, where the whole software model is provided …

Practical colinear chaining on sequences revisited
Nicola Rizzo, Manuel C\'aceres, Veli M\"akinen
https://arxiv.org/abs/2506.11750 https://…

Practical colinear chaining on sequences revisited
Colinear chaining is a classical heuristic for sequence alignment and is widely used in modern practical aligners. Jain et al. (J. Comput. Biol. 2022) proposed an $O(n \log^3 n)$ time algorithm to chain a set of $n$ anchors so that the chaining cost matches the edit distance of the input sequences, when anchors are maximal exact matches. Moreover, assuming a uniform and sparse distribution of anchors, they provided a practical solution ($\mathtt{ChainX}$) working in $O(n \cdot \mathsf{SOL} + n …

Massiver Cyberangriff auf US-Provider: Erster Einbruch schon ein Jahr früher
2024 ist mutmaßlich chinesischen Angreifern ein massiver Angriff auf US-Provider gelungen. Eine Malware wurde aber offenbar deutlich früher installiert.

Path-filtration for modal logics applied to revisiting quasi-dense logics
Olivier Gasquet
https://arxiv.org/abs/2507.11258 https://ar…

Path-filtration for modal logics applied to revisiting quasi-dense logics
In https://arxiv.org/pdf/2405.10094 (also published at LICS'24 conference), Lyon and Ostropolski-Nalewaja answer the question of the decidability of quasi-dense modallogics, and give an upper bound in EXPSPACE. Unfortunately, their intricate proof contains a major flaw that cannot be fixed, leaving the question wide open. In this paper we provide a correct and rather simple and direct proof of it by introducing a new variant of the well-know filtration method based on paths in a canonical model…

Katzen irritieren Reasoning-Modelle: Studie probt Angriff
Ein irrelevanter Input verschlechtert die Ergebnisse von Reasoning-Modellen drastisch: Eine Studie hat das mit Katzen getestet.
https://www.