Tootfinder

Jakobi Meyers gives 7-word answer regarding potential extension with Raiders https://raiderswire.usatoday.com/story/sports/nfl/raiders/2025/08/14/jakobi-meyers-gives-7-word-answer-on-potential-e…

Giants' Russell Wilson seized opportunity to 'answer the call' with 450-yard effort amid QB uncertainty

https://www.cbssports.com/nfl/news/giants-…

OPM: Trump’s hiring questions ‘mandatory’ for agencies to ask, but optional for candidates to answer
https://federalnewsnetwork.com/workforce/2025/08/opm-trumps-hiring-questions-mandatory-for-agencies-to-ask-but-optional-for-candidates-to-answer/

AI Answer Engine Citation Behavior An Empirical Analysis of the GEO16 Framework
Arlen Kumar, Leanid Palkhouski
https://arxiv.org/abs/2509.10762 https://arx…

AI Answer Engine Citation Behavior An Empirical Analysis of the GEO16 Framework
AI answer engines increasingly mediate access to domain knowledge by generating responses and citing web sources. We introduce GEO-16, a 16 pillar auditing framework that converts on page quality signals into banded pillar scores and a normalized GEO score G that ranges from 0 to 1. Using 70 product intent prompts, we collected 1,702 citations across three engines (Brave Summary, Google AI Overviews, and Perplexity) and audited 1,100 unique URLs. In our corpus, the engines differed in the GEO q…

An interesting guide to what you can do for climate action:
https://bsky.app/profile/globalecoguy.bsky.social/post/3lysibvowyk26

Dr. Jonathan Foley (@globalecoguy.bsky.social)
We often get asked, "What can I *personally* do to help address climate change?" Sadly, there hasn't been a very good answer to this question. Previous guides often treated people as monoliths, providing a one-size-fits-all answer. But that's all changed, thanks to SHIFT. jointheshift.earth https://jointheshift.earth

An interesting guide to what you can do for climate action:
https://bsky.app/profile/globalecoguy.bsky.social/post/3lysibvowyk26

Dr. Jonathan Foley (@globalecoguy.bsky.social)
We often get asked, "What can I *personally* do to help address climate change?" Sadly, there hasn't been a very good answer to this question. Previous guides often treated people as monoliths, providing a one-size-fits-all answer. But that's all changed, thanks to SHIFT. jointheshift.earth https://jointheshift.earth

"Conventionally, the output of an AI is graded in a binary way, rewarding it when it gives a correct response and penalizing it when it gives an incorrect one.
In simple terms, in other words, guessing is rewarded — because it might be right — over an AI admitting it doesn't know the answer, which will be graded as incorrect no matter what.
As a result, through "natural statistical pressures," LLMs are far more prone to hallucinate an answer instead of "ac…

FinGEAR: Financial Mapping-Guided Enhanced Answer Retrieval
Ying Li, Mengyu Wang, Miguel de Carvalho, Sotirios Sabanis, Tiejun Ma
https://arxiv.org/abs/2509.12042 https://

FinGEAR: Financial Mapping-Guided Enhanced Answer Retrieval
Financial disclosures such as 10-K filings present challenging retrieval problems due to their length, regulatory section hierarchy, and domain-specific language, which standard retrieval-augmented generation (RAG) models underuse. We introduce FinGEAR (Financial Mapping-Guided Enhanced Answer Retrieval), a retrieval framework tailored to financial documents. FinGEAR combines a finance lexicon for Item-level guidance (FLAM), dual hierarchical indices for within-Item search (Summary Tree and Que…

Pete Carroll gives frustrating answer for Raiders' bizarre usage of Ashton Jeanty https://www.sportingnews.com/us/nfl/las-vegas-raiders/news/pete-carroll-frustrating-answer-raiders-bizarre-u…

Maybe weird question, but does anyone have a favorite moving blanket or tarp, ideally one with metal grommets?
I want something that can be tied down with straps when used to cover stuff like furniture on a pickup truck truckbed.
(Please only answer if you have direct experience and have a favorite product.)

#Wordle 1,488 4/6*
⬜🟨⬜⬜🟨 <1% of 214,624 (27)
🟨⬜🟨⬜🟨 6% of 122 (7)
🟨🟨⬜🟨🟩 0 of 19 (2)
🟩🟩🟩🟩🟩
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.

inploid: Inploid: an online social Q&A platform
Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,749 nodes and 57,276 directed links between them. In addition, for …

How Google's Jigsaw and longtime pollster Scott Rasmussen plan to use AI to survey Americans to find common ground ahead of the US' 250th anniversary (Richard Nieva/Forbes)
https://www.forbes.com/sites/richardnieva/

Google And Pollster Scott Rasmussen Will Use AI To Survey Americans’ Political Views
A collaboration between the tech giant and a longtime pollster will gather five to 10 people each from every congressional district to answer questions about the nation’s most pressing issues. If it works, it could upend the fraught world of political polling.

And what happens when we fail to do our job, fail to treat with revulsion speech that deserves revulsion? What happens when we give racists and slavers and genocidal zealots room, whether out of some misguided sense of respect, or laziness, or fear?
You know the answer to this question.

What is the best (and safest) way to trigger a GPIO pin on a Raspberry Pi from a 5V microcontroller?
(An Arduino, in this case.)
I think the answer is a level shifter, but there's also an optoisloator/optocoupler, and of course a few resistors (though that one is probably the least safe.) A relay could work but seems like silly overkill.
#microcontroller

Never answer other's questions.
Never disclose the truth.
Never accept responsibility.
Never serve anything but self-interest.
Always communicate your own message; the media won't hold you responsible for anything & above all, attack attack attack.
- Excerpt from the #Trump media playbook

Trump's answer to numbers he doesn't like: Change them or throw them away (Washington Post)
https://www.washingtonpost.com/politics/2025/08/14/trump-data-misinformation/?pwapi_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJyZWFzb24iOiJnaWZ0IiwibmJmIjoxNzU1MTQ0MDAwLCJpc3MiOiJzdWJzY3JpcHRpb25zIiwiZXhwIjoxNzU2NTI2Mzk5LCJpYXQiOjE3NTUxNDQwMDAsImp0aSI6Ijk5NmY5MTRiLTVkN2EtNGJmMS1iMzY5LTQwOTJjYWY4NTljYSIsInVybCI6Imh0dHBzOi8vd3d3Lndhc2hpbmd0b25wb3N0LmNvbS9wb2xpdGljcy8yMDI1LzA4LzE0L3RydW1wLWRhdGEtbWlzaW5mb3JtYXRpb24vIn0.TcNvHiGgi4lHtEbtNmQWn8bKCVtXtg-a0vmfEoRQWW4&itid=gfta
http://www.memeorandum.com/250814/p77#a250814p77

Semi-interval Comparison Constraints in Query Containment and Their Impact on Certain Answer Computation
Foto N. Afrati, Matthew Damigos
https://arxiv.org/abs/2509.10138 https:/…

Semi-interval Comparison Constraints in Query Containment and Their Impact on Certain Answer Computation
We consider conjunctive queries with arithmetic comparisons (CQAC) and investigate the computational complexity of the problem: Given two CQAC queries, $Q$ and $Q'$, is $Q'$ contained in $Q$? We know that, for CQAC queries, the problem of testing containment is $Π_2 ^p$ -complete. However, there are broad classes of queries with semi-interval arithmetic comparisons in the containing query that render the problem solvable in NP. In all cases examined the contained query is allowed to be any CQA…

Why are the doctors always asking such hard questions as "how old are you?" A few more, and I'm going to remember to compute the answer before the appointment.

More frightening energy-use stats about AI, mostly reporting on the total energy use of GPT, which is pretty abstract, and makes it difficult to answer the question of what impact you yourself are having by using it.
A useful rule of thumb to remember is that the whole energy use per day of a person in a European country (including food, transportation, production etc.) is about 125 KWh if they don't live excessively. 1/n

To my surprise, Justin Webb, interviewer on BBC radio 4 this morning mentioned the Jeavons paradox.
It was in response to a data centre chief claiming they were getting more efficient.
Sadly he didn't push the point when the interviewer gave a weak, irrelevant answer.
@…

Anyone who follows me has probably gathered that I've become a fan of Discourse after running a few Discourse instances. They are currently requesting feedback.
I was pleased to see that they used a survey vendor that appears to have meaningful a11y — I didn't look for aria labels so I won't speak to that, but what I did notice is that there is explicitly-labeled support for keyboard-only interaction on every page, and I really appreciated that thoughtfulness.

@… You are definitely missing out.
The question is whether that's worth it... no easy answer IMO.

I got an email - I think it must have come from an AI bot - since the salutation reads
Hi *|FNAME|*,
I do not answer to *|FNAME|*

Flip side of this: ~3 years ago, I got automated calls from “RBC Visa”. I ignored them.
Then my card stopped working.
So I called the number on the back of my card and said as much.
The agent gave me a hard time: “So you JUST IGNORED our calls about this?”
“No; I didn’t know they were you calling.”
“How did you not know they were us?! It says ‘this is RBC Visa’ when you answer!”
“That’s indistinguishable from fraud.”
He did not like that. He thought …

Technobabble has always been a staple of #StarTrek. Which is fortunate, because this always makes for a good #TrekTriviaTuesday question.
As always no googling and no spoiling the answer for others. Please boost after voting! :BoostOK:
Vote will run for 24h, then I will reply with …

Answer (Jaydn, opus 26) #PianoImprov #NowPlaying https://muz4now.com/2025/answer-jaydn-

Answer (Jaydn, opus 26) #PianoImprov #NowPlaying
Stan Stewart - @muz4now

Efficiently Verifiable Proofs of Data Attribution
Ari Karchmer, Seth Neel, Martin Pawelczyk
https://arxiv.org/abs/2508.10866 https://arxiv.org/pdf/2508.108…

Efficiently Verifiable Proofs of Data Attribution
Data attribution methods aim to answer useful counterfactual questions like "what would a ML model's prediction be if it were trained on a different dataset?" However, estimation of data attribution models through techniques like empirical influence or "datamodeling" remains very computationally expensive. This causes a critical trust issue: if only a few computationally rich parties can obtain data attributions, how can resource-constrained parties trust that the provided attributions are inde…

Fine-grained Timing Analysis of Digital Integrated Circuits in Answer Set Programming
Alessandro Bertagnon, Marcello Dalpasso, Michele Favalli, Marco Gavanelli
https://arxiv.org/abs/2507.11150

Fine-grained Timing Analysis of Digital Integrated Circuits in Answer Set Programming
In the design of integrated circuits, one critical metric is the maximum delay introduced by combinational modules within the circuit. This delay is crucial because it represents the time required to perform a computation: in an Arithmetic-Logic Unit it represents the maximum time taken by the circuit to perform an arithmetic operation. When such a circuit is part of a larger, synchronous system, like a CPU, the maximum delay directly impacts the maximum clock frequency of the entire system. Ty…

Reasoning in the Dark: Interleaved Vision-Text Reasoning in Latent Space
Chao Chen, Zhixin Ma, Yongqi Li, Yupeng Hu, Yinwei Wei, Wenjie Li, Liqiang Nie
https://arxiv.org/abs/2510.12603

Reasoning in the Dark: Interleaved Vision-Text Reasoning in Latent Space
Multimodal reasoning aims to enhance the capabilities of MLLMs by incorporating intermediate reasoning steps before reaching the final answer. It has evolved from text-only reasoning to the integration of visual information, enabling the thought process to be conveyed through both images and text. Despite its effectiveness, current multimodal reasoning methods depend on explicit reasoning steps that require labor-intensive vision-text annotations and inherently introduce significant inference l…

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…

NATO SG mocking Russia while having no answer to simple drones over strategic targets in NATO countries.
https://kyivindependent.com/nato-chief-mocks-russia-over-malfunctioning-submarine-limping-home-from-patrol/

NATO chief mocks Russia over malfunctioning submarine 'limping home from patrol'
"What a change from the 1984 Tom Clancy novel The Hunt for Red October. Today, it seems more like the hunt for the nearest mechanic," NATO Secretary General Mark Rutte said.

A Survey on Parallel Reasoning
Ziqi Wang, Boye Niu, Zipeng Gao, Zhi Zheng, Tong Xu, Linghui Meng, Zhongli Li, Jing Liu, Yilong Chen, Chen Zhu, Hua Wu, Haifeng Wang, Enhong Chen
https://arxiv.org/abs/2510.12164

A Survey on Parallel Reasoning
With the increasing capabilities of Large Language Models (LLMs), parallel reasoning has emerged as a new inference paradigm that enhances reasoning robustness by concurrently exploring multiple lines of thought before converging on a final answer. It has become a significant trend to explore parallel reasoning to overcome the fragility of standard sequential methods and improve practical performance. In this paper, we aim to survey and summarize the progress and challenges of parallel reasonin…

The Recap: Looking at the (many) game-changing plays https://www.giants.com/news/giants-vs-cowboys-highlights-week-2-nfl-2025-russell-wilson-malik-nabers

A lot of people seem unaware of who charlie kirk was in fact, not just fantasy.
Perhaps this can help.
Murder is bad, and violence is never a good answer.
(sources follow in comment)
#USpol #kirk

Orthogonal polynomials, quantum walks and the Prouhet-Tarry-Escott problem
Frederico Can\c{c}ado, Gabriel Coutinho, Thom\'as Jung Spier
https://arxiv.org/abs/2509.09948 http…

Orthogonal polynomials, quantum walks and the Prouhet-Tarry-Escott problem
This paper is motivated by the following problem. Define a quantum walk on a positively weighted path (linear chain). Can the weights be tuned so that perfect state transfer occurs between the first vertex and any other position? We do not fully answer this question - in fact, we show that a particular case of this problem is equivalent to a solution of a particular case of the well known Prouhet-Tarry-Escott problem, deeming our original task certainly harder than anticipated. In our journey, …

"how are free people supposed to stay free? One short answer: don’t trust anyone over thirty. Paine, reversing centuries’ worth of regard for age and experience, argued that freedom is not a privilege that the old may confer, but a right that the young must demand. Every rising generation should hold its predecessors accountable, boldly taking its rights from them"
I am an old man and I approve this message.

Inventing the American Revolution: On Thomas Paine’s Guide to Fighting Dictatorship
Back in 2018, two years into the first Trump presidency, when the ground was shifting beneath our feet in ways that, today, might barely register on our wearied internal seismographs, political ana…

It is interesting to me how different we humans can be in ways that we often don't think about.
"When M.X. thought of people or objects, he did not see them. And yet his visual memories were intact. M.X. could answer factual questions such as whether former Prime Minister Tony Blair has light-colored eyes. (He does.) M.X. could even solve problems that required mentally rotating shapes, even though he could not see them."

Calibration of answer probabilities in verbal autopsies: Working Paper
Nathan Higgins, James Liley, Eilidh Cowan
https://arxiv.org/abs/2510.10065 https://a…

Calibration of answer probabilities in verbal autopsies: Working Paper
In most of the world, causes of death are not recorded. Verbal autopsies are structured interviews with people close to the deceased, which are used to estimate the likelihood of various causes of death. Such estimates typically make use of a table of marginal probabilities, called a `probbase', describing the frequency of answers to each interview question conditional on each cause of death. Assembling probbase tables is challenging, since data labelled with verified causes-of-death are not ty…

Assisting the Grading of a Handwritten General Chemistry Exam with Artificial Intelligence
Jan Cvengros, Gerd Kortemeyer
https://arxiv.org/abs/2509.10591 https://

Assisting the Grading of a Handwritten General Chemistry Exam with Artificial Intelligence
We explore the effectiveness and reliability of an artificial intelligence (AI)-based grading system for a handwritten general chemistry exam, comparing AI-assigned scores to human grading across various types of questions. Exam pages and grading rubrics were uploaded as images to account for chemical reaction equations, short and long open-ended answers, numerical and symbolic answer derivations, drawing, and sketching in pencil-and-paper format. Using linear regression analyses and psychometr…

Asked about Homan...🤔
‘You Did Not Answer The Question’: Stephanopoulos Throws VP Off-air
https://washingtoncurrent.substack.com/p/you-did-not-answer-the-question-stephanopoulos

Geometric Constructions of Mod $p$ Cohomology Operations
Herng Yi Cheng
https://arxiv.org/abs/2510.12574 https://arxiv.org/pdf/2510.12574

Geometric Constructions of Mod $p$ Cohomology Operations
The Brown Representability Theorem implies that cohomology operations can be represented by continuous maps between Eilenberg-Maclane spaces. These Eilenberg-Maclane spaces have explicit geometric models as spaces of cycles on round spheres and spaces of relative cycles on unit disks, due to the Almgren Isomorphism Theorem. A. Nabutovsky asked what maps between spaces of cycles represent the Steenrod squares. In this work we answer this question by constructing maps with explicit formulas fro…

Quantum thermodynamics of Gross-Pitaevskii qubits
Sebastian Deffner
https://arxiv.org/abs/2510.12599 https://arxiv.org/pdf/2510.12599

Quantum thermodynamics of Gross-Pitaevskii qubits
What are the resources that can be leveraged for a thermodynamic device to exhibit genuine quantum advantage? Typically, the answer to this question is sought in quantum correlations. In the present work, we show that quantum Otto engines that operate with nonlinear qubits significantly outperform linear engines. To this end, we develop a comprehensive thermodynamic description of nonlinear qubits starting with identifying the proper thermodynamic equilibrium state. We then show that for ideal …

A branch group with unsolvable conjugacy problem
Alex Bishop, Eduard Schesler
https://arxiv.org/abs/2509.12161 https://arxiv.org/pdf/2509.12161

A branch group with unsolvable conjugacy problem
We prove that every finitely generated residually finite group $G$ can be embedded in a finitely generated branch group $Γ$ such that two elements in $G$ are conjugate in $G$ if and only if they are conjugate in $Γ$. As an application we construct a finitely generated branch group with solvable word problem and unsolvable conjugacy problem and thereby answer a question of Bartholdi, Grigorchuk, and Šunik.

sometimes I will get specifically MIDI versions of songs stuck in my head
is this normal am I sane actually I'm on Fedi don’t answer that

sometimes I will get specifically MIDI versions of songs stuck in my head
is this normal am I sane actually I'm on Fedi don’t answer that

Browns DB gives surprising answer when asked about stopping Ravens RB Derrick Henry: It's 'not hard'

https://www.cbssports.com/nfl/news/browns-

Raiders’ Pete Carroll Offers Blunt Answer to Ashton Jeanty Usage https://heavy.com/sports/nfl/las-vegas-raiders/pete-carroll-blunt-ashton-jeanty-usage/?adt_ei=[email]

In March, Trump told NBC’s Kristen Welker that he was “not joking” about considering a third term.
There are “methods” by which he could do so, he claimed,
one being if Vice President JD Vance was to win the presidency, then pass the baton to Trump.
In May, however, Trump declared to Welker that he will be “a two-term president”
—though he seemingly couldn’t help but add,
“There are ways of doing it.”
In August, he said he would “like to run” again but “pro…

Amy Coney Barrett Gives Least Reassuring Answer on Trump Third Term
This Supreme Court is failing us.

“Sometimes the decision making criteria that the leadership uses to make a decision is different than the decision making criteria that might be reflected in scoring, but that really gets to the heart of it,” he said. 
That sounds a lot like #RFKJr's reasoning - Don't trust experts, I'm the one that knows what the right answer.

Lurie doubles down on S.F. permitting contract despite questions of deputy’s impropriety 
Lurie’s policy chief Ned Segal awarded contract to preferred firm despite report finding it "shouldn’t be considered."

On the Continuity of Enhancement Percolation
Paul Duncan, David Sivakoff, Benjamin Schweinhart
https://arxiv.org/abs/2509.10990 https://arxiv.org/pdf/2509.…

On the Continuity of Enhancement Percolation
We study bond percolation in $\mathbb{Z}^d$ with an unbounded family of enhancements that enable additional bonds to act as open. A natural question is whether percolation occurs in this model if and only if percolation also occurs in the system with a finite subcollection of enhancements. We give an affirmative answer in dimension $d=2$ for symmetric families of connected enhancements, and in dimensions $d\ge 3$ we prove a partial result.

The Deligne-Simpson Problem
William Crawley-Boevey
https://arxiv.org/abs/2509.11998 https://arxiv.org/pdf/2509.11998

The Deligne-Simpson Problem
Given k similarity classes of invertible matrices, the Deligne-Simpson problem asks to determine whether or not one can find matrices in these classes whose product is the identity and with no common invariant subspace. The author conjectured an answer in terms of an associated root system, and proved one implication in joint work with Shaw. In this paper we prove the other implication, thus confirming the conjecture.

The existence of suitable sets in locally compact strongly topological gyrogroups
Jiajia Yang, Jiamin He, Fucai Lin
https://arxiv.org/abs/2507.10907 https:…

The existence of suitable sets in locally compact strongly topological gyrogroups
A subset $S$ of a topological gyrogroup $G$ is said to be a {\it suitable set} for $G$ if the identity element $0$ is the unique accumulation point of $S$ and $\langle S\rangle$ is dense in $G$. In this paper, it is proved that every locally compact strongly topological gyrogroup has a suitable set, which gives an affirmative answer to a question posed by F. Lin, et al. in \cite{key14}.

#Wordle 1,550 4/6*
⬜⬜⬜⬜⬜ <1% of 220,978 (520)
⬜⬜⬜⬜⬜ 0 of 146 (120)
⬜⬜⬜🟨⬜ 0 of 0 (7)
🟩🟩🟩🟩🟩
WordleBot
Skill 87/99
Luck 31/99
I particularly like today's wordle answer!
Also I'm impressed with myself that I was able to eliminate 14 letters on my 1st 3 guesses.

I have seen little comment on the question "Israel vs Gaza - why peace now, why not before now?"
The answer could be that El Cheeto loves and supports strong-men such as Netanyahu.
And it is clear to any observer that Netanyahu is in political and legal trouble, and that the genocide in Gaza is putting Netanyahu into a vise between various sides that will, probably, cause him to lose office (and lose his defense in his criminal trials.)
So El Cheeto is throwing Ne…

Medico 2025: Visual Question Answering for Gastrointestinal Imaging
Sushant Gautam, Vajira Thambawita, Michael Riegler, P{\aa}l Halvorsen, Steven Hicks
https://arxiv.org/abs/2508.10869

Medico 2025: Visual Question Answering for Gastrointestinal Imaging
The Medico 2025 challenge addresses Visual Question Answering (VQA) for Gastrointestinal (GI) imaging, organized as part of the MediaEval task series. The challenge focuses on developing Explainable Artificial Intelligence (XAI) models that answer clinically relevant questions based on GI endoscopy images while providing interpretable justifications aligned with medical reasoning. It introduces two subtasks: (1) answering diverse types of visual questions using the Kvasir-VQA-x1 dataset, and (2…

inploid: Inploid: an online social Q&A platform
Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,749 nodes and 57,276 directed links between them. In addition, for …

Bailouts and Redistribution
Mikayel Sukiasyan
https://arxiv.org/abs/2509.10933 https://arxiv.org/pdf/2509.10933

Bailouts and Redistribution
What is the best macroprudential regulation when households differ in their exposure to profits from the financial sector? To answer the question, I study a real business cycle model with household heterogeneity and market incompleteness. In the model, shocks are amplified in states with high leverage, leading to lower investment. I consider the problem of a Ramsey planner who can finance transfers with a distortive tax on labor and levy taxes on the balance sheet components of experts. I show …

COSTAR-A: A prompting framework for enhancing Large Language Model performance on Point-of-View questions
Nzubechukwu C. Ohalete (School of Data Science and Analytics, Kennesaw State University, GA, USA), Kevin B. Gittner (School of Data Science and Analytics, Kennesaw State University, GA, USA), Lauren M. Matheny (School of Data Science and Analytics, Kennesaw State University, GA, USA)

COSTAR-A: A prompting framework for enhancing Large Language Model performance on Point-of-View questions
Large Language Models (LLMs) are highly sensitive to prompt design, and making optimized prompting techniques is crucial for generating consistent, high-quality outputs. In this study, we introduce COSTAR-A, a novel prompt engineering framework that enhances the existing COSTAR method, which stands for Context, Objective, Style, Tone, Audience, and Response, by adding the 'Answer' component at the end. We demonstrate that while the original COSTAR framework improves prompt clarity and aligns ou…

Considering the news as of late and all the discussions on social media surrounding that, I think it is a good time to remind everyone that hate is not the answer to anything. We need more love and respect in the world. It doesn't matter if it is brotherly love, neighborly love, platonic love, or romantic love. All love is good; there is no bad love. The type of love is totally up to you, just love your neighbor.
Just because someone is being hateful in their action and speech doesn't me…

#Food #FoodampDining Stop Guessing How Much Coffee to Use. The 'Golden Ratio' Is the Answer

Want a Perfect Pot of Coffee? Experts Suggest the 'Golden Ratio.' Here's How it Works
I spoke with a coffee educator to learn about the "Golden Ratio," grind size and other factors that make or break your home brew.

My kitchen scales broke (the culprit denies any responsibility) so I need to get a new one, which I'll use MOSTLY to bake but might also use for coffee if it does the job.
The one thing I'd like is that it weights *oil* as I pour it, something which my previous was unable to do (it would stick to initial weight).
So, long shot: does anybody here have and use a CASO KitchenDuo and can answer my question?

From <Answer> to <Think>: Multidimensional Supervision of Reasoning Process for LLM Optimization
Beining Wang, Weihang Su, Hongtao Tian, Tao Yang, Yujia Zhou, Ting Yao, Qingyao Ai, Yiqun Liu
https://arxiv.org/abs/2510.11457

From to : Multidimensional Supervision of Reasoning Process for LLM Optimization
Improving the multi-step reasoning ability of Large Language Models (LLMs) is a critical yet challenging task. The dominant paradigm, outcome-supervised reinforcement learning (RLVR), rewards only correct final answers, often propagating flawed reasoning and suffering from sparse reward signals. While process-level reward models (PRMs) provide denser, step-by-step feedback, they lack generalizability and interpretability, requiring task-specific segmentation of the reasoning process. To this en…

@… I ran your answer through chatgpt and it checked out fine

Trump Wants to Boot Out Massie. Could This Senate Candidate Be the Answer? (Jonathan Martin/Politico)
https://www.politico.com/news/magazine/2025/09/13/thomas-massie-trump-kentucky-daniel-cameron-00561596
http://www.memeorandum.com/250914/p2#a250914p2

Space-Time Tradeoffs for Spatial Conjunctive Queries
Aryan Esmailpour, Xiao Hu, Stavros Sintos
https://arxiv.org/abs/2509.10050 https://arxiv.org/pdf/2509.…

Space-Time Tradeoffs for Spatial Conjunctive Queries
Given a conjunctive query and a database instance, we aim to develop an index that can efficiently answer spatial queries on the results of a conjunctive query. We are interested in some commonly used spatial queries, such as range emptiness, range count, and nearest neighbor queries. These queries have essential applications in data analytics, such as filtering relational data based on attribute ranges and temporal graph analysis for counting graph structures like stars, paths, and cliques. Fu…

Jayden Daniels owns mistake, admits Commanders must be better with 'details and execution' https://www.nfl.com/news/jayden-daniels-owns-mistake-commanders-better-details-execution

#Wordle 1,517 4/6*
⬜⬜⬜🟩⬜ <1% of 212,038 (87)
⬜⬜⬜🟩🟨 3% of 77 (12)
⬜🟨🟨🟩⬜ 25% of 4 (2)
🟩🟩🟩🟩🟩 71% of 1,047
WordleBot
Skill 95/99
Luck 49/99
I was really beginning to think the answer was a word I must not know!
And omg the other word, yikes, glad it wasn't that one!

GTA: Supervised-Guided Reinforcement Learning for Text Classification with Large Language Models
Min Zeng, Jinfei Sun, Xueyou Luo, Caiquan Liu, Shiqi Zhang, Li Xie, Xiaoxin Chen
https://arxiv.org/abs/2509.12108

GTA: Supervised-Guided Reinforcement Learning for Text Classification with Large Language Models
In natural language processing tasks, pure reinforcement learning (RL) fine-tuning methods often suffer from inefficient exploration and slow convergence; while supervised fine-tuning (SFT) methods, although efficient in training, have limited performance ceiling and less solid theoretical foundation compared to RL. To address efficiency-capability trade-off, we propose the Guess-Think-Answer (GTA) framework that combines the efficiency of SFT with the capability gains of RL in a unified traini…

Every once in a while there are names that get repeated mention in #StarTrek; even if they are just mentioned in dialog. And we'll look at such a case for today's #TrekTriviaTuesday question.
As always no googling and no spoiling the answer for others. Please boost after voting! :…

First Ask Then Answer: A Framework Design for AI Dialogue Based on Supplementary Questioning with Large Language Models
Chuanruo Fu, Yuncheng Du
https://arxiv.org/abs/2508.08308

First Ask Then Answer: A Framework Design for AI Dialogue Based on Supplementary Questioning with Large Language Models
Large Language Models (LLMs) often struggle to deliver accurate and actionable answers when user-provided information is incomplete or ill-specified. We propose a new interaction paradigm, First Ask Then Answer (FATA), in which, through prompt words, LLMs are guided to proactively generate multidimensional supplementary questions for users prior to response generation. Subsequently, by integrating user-provided supplementary information with the original query through sophisticated prompting te…

qa_user: User interactions on Q&A websites (2016)
Networks of interactions among users from four online Q&A sites: Stack Overflow, Math Overflow, Super User, and Ask Ubuntu. A directed edge (i,j) indicates a user i responded to user j's post. Edges are timestamped. For each Q&A site, four differently defined networks are provided, based on the definition of an edge: (i) a user answered a question, (ii) a user commented on a question, (iii) a user commented on an answer…

The Republican's decision to give the White House full power to decide what, when, and how congressionally appropriated money is spent
has created an impasse more deep and intractable than the shutdown itself,
because the question of how the conflict over Obamacare subsidies gets resolved has become impossible to answer.
What we have here is a fully busted appropriations process;
it is impossible to have faith in anything that Trump and his Republican cronies do w…

Why It’s Pointless for Democrats to Negotiate a Shutdown Deal
The most overlooked aspect of the current impasse is that it began a long time ago—and is rooted in a deep Trumpian dysfunction.

Shane Steichen hopes winner emerges from Colts' QB battle 'sooner rather than later' https://www.nfl.com/news/shane-steichen-colts-qb-battle-sooner-rather-than-later-richardson-jones

Query-Specific GNN: A Comprehensive Graph Representation Learning Method for Retrieval Augmented Generation
Yuchen Yan, Zhihua Liu, Hao Wang, Weiming Li, Xiaoshuai Hao
https://arxiv.org/abs/2510.11541 …

Query-Specific GNN: A Comprehensive Graph Representation Learning Method for Retrieval Augmented Generation
Retrieval-augmented generation (RAG) has demonstrated its ability to enhance Large Language Models (LLMs) by integrating external knowledge sources. However, multi-hop questions, which require the identification of multiple knowledge targets to form a synthesized answer, raise new challenges for RAG systems. Under the multi-hop settings, existing methods often struggle to fully understand the questions with complex semantic structures and are susceptible to irrelevant noise during the retrieval…

#Wordle 1,518 4/6*
⬜⬜⬜⬜⬜ <1% of 217,150 (746)
⬜🟨⬜⬜⬜ 0 of 19 (38)
⬜🟩🟨🟨⬜ 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 92/99
Luck 40/99
It's always nice when the word you're unsure if it's worth guessing turns out to make getting the answer easy.

Moonlake AI, which creates tools to "vibe code virtual worlds", including for gaming, animation, and filmmaking, comes out of stealth with a $28M seed (Rashi Shrivastava/Forbes)
https://www.forbes.com/sites/rashishrivast

Gaming Worlds Could Be The Answer To AI’s Data Problem
Stanford PhDs Fan-Yun Sun and Sharon Lee cofounded AI research company Moonlake AI to help people "vibe code virtual worlds."

Violence is never a good answer. You don’t know what side of it you will be on.
#USpol

Towards Reliable and Interpretable Document Question Answering via VLMs
Alessio Chen, Simone Giovannini, Andrea Gemelli, Fabio Coppini, Simone Marinai
https://arxiv.org/abs/2509.10129

Towards Reliable and Interpretable Document Question Answering via VLMs
Vision-Language Models (VLMs) have shown strong capabilities in document understanding, particularly in identifying and extracting textual information from complex documents. Despite this, accurately localizing answers within documents remains a major challenge, limiting both interpretability and real-world applicability. To address this, we introduce \textit{DocExplainerV0}, a plug-and-play bounding-box prediction module that decouples answer generation from spatial localization. This design m…

Matt Eberflus needs to answer for inexcusable LB snap count in Cowboys' Week 1 loss https://www.si.com/nfl/cowboys/news/matt-eberflus-needs-to-answer-for-inexcusable-lb-snap-count-dallas-cowboys-week-1-loss…

Is Misinformation More Open? A Study of robots.txt Gatekeeping on the Web
Nicolas Steinacker-Olsztyn, Devashish Gosain, Ha Dao
https://arxiv.org/abs/2510.10315 https://

Is Misinformation More Open? A Study of robots.txt Gatekeeping on the Web
Large Language Models (LLMs) are increasingly relying on web crawling to stay up to date and accurately answer user queries. These crawlers are expected to honor robots.txt files, which govern automated access. In this study, for the first time, we investigate whether reputable news websites and misinformation sites differ in how they configure these files, particularly in relation to AI crawlers. Analyzing a curated dataset, we find a stark contrast: 60.0% of reputable sites disallow at least …

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models
Ching Chang, Yidan Shi, Defu Cao, Wei Yang, Jeehyun Hwang, Haixin Wang, Jiacheng Pang, Wei Wang, Yan Liu, Wen-Chih Peng, Tien-Fu Chen
https://arxiv.org/abs/2509.11575

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models
Time series reasoning treats time as a first-class axis and incorporates intermediate evidence directly into the answer. This survey defines the problem and organizes the literature by reasoning topology with three families: direct reasoning in one step, linear chain reasoning with explicit intermediates, and branch-structured reasoning that explores, revises, and aggregates. The topology is crossed with the main objectives of the field, including traditional time series analysis, explanation a…

"...the number of stories in national newspapers about asylum seekers or small boats or refugees. They found 542 in just the past month. And how many on the cost of living or essentials or living standards? Just 45."
Worried about rising bills and getting by? Keir Starmer has the answer: try chewing a flag!
| Aditya Chakrabortty | The Guardian

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[13/17]:
- Judge Before Answer: Can MLLM Discern the False Premise in Question?
Jidong Li, Lingyong Fang, Haodong Zhao, Sufeng Duan, Gongshen Liu

Encyclopedia Britannica and Merriam-Webster sue Perplexity, alleging that it unlawfully scraped their websites and redirected their traffic to its AI summaries (Blake Brittain/Reuters)
https://www.reuters.com/legal/litigation/e

After a Week 1 loss, can these NFL teams still win the Super Bowl? The answer comes down to this

https://www.cbssports.com/nfl/news/after-a

Reverse Physician-AI Relationship: Full-process Clinical Diagnosis Driven by a Large Language Model
Shicheng Xu, Xin Huang, Zihao Wei, Liang Pang, Huawei Shen, Xueqi Cheng
https://arxiv.org/abs/2508.10492

Reverse Physician-AI Relationship: Full-process Clinical Diagnosis Driven by a Large Language Model
Full-process clinical diagnosis in the real world encompasses the entire diagnostic workflow that begins with only an ambiguous chief complaint. While artificial intelligence (AI), particularly large language models (LLMs), is transforming clinical diagnosis, its role remains largely as an assistant to physicians. This AI-assisted working pattern makes AI can only answer specific medical questions at certain parts within the diagnostic process, but lack the ability to drive the entire diagnosti…

Reflective Homework as a Learning Tool: Evidence from Comparing Thirteen Years of Dual vs. Single Submission
Madhur Dixit, Kavya Lalbahadur Joshi, Kaveri Bhalchandra Konde, Edward F. Gehringer
https://arxiv.org/abs/2508.09314

Reflective Homework as a Learning Tool: Evidence from Comparing Thirteen Years of Dual vs. Single Submission
Dual-submission homework, where students submit work, receive feedback and then revise has gained attention as a way to foster reflection and discourage reliance on online answer repositories. This study analyzes 13 years of exam data from a computer architecture course to compare student performance under single versus dual-submission homework conditions. Using pooled t-tests on matched exam questions, we found that dual-submission significantly improved outcomes in a majority of cases. The re…

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens
Lucas Albarede, Jose Moreno, Lynda Tamine, Luce Lefeuvre
https://arxiv.org/abs/2508.08942 h…

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens
Despite their impressive performances, Large Language Models (LLMs) remain prone to hallucination, which critically undermines their trustworthiness. While most of the previous work focused on tackling answer and attribution correctness, a recent line of work investigated faithfulness, with a focus on leveraging internal model signals to reflect a model's actual decision-making process while generating the answer. Nevertheless, these methods induce additional latency and have shown limitations …

inploid: Inploid: an online social Q&A platform
Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,749 nodes and 57,276 directed links between them. In addition, for …

A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across Languages
Raoyuan Zhao, Yihong Liu, Hinrich Sch\"utze, Michael A. Hedderich
https://arxiv.org/abs/2510.09555

A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across Languages
Large reasoning models (LRMs) increasingly rely on step-by-step Chain-of-Thought (CoT) reasoning to improve task performance, particularly in high-resource languages such as English. While recent work has examined final-answer accuracy in multilingual settings, the thinking traces themselves, i.e., the intermediate steps that lead to the final answer, remain underexplored. In this paper, we present the first comprehensive study of multilingual CoT reasoning, evaluating three key dimensions: per…

DualResearch: Entropy-Gated Dual-Graph Retrieval for Answer Reconstruction
Jinxin Shi, Zongsheng Cao, Runmin Ma, Yusong Hu, Jie Zhou, Xin Li, Lei Bai, Liang He, Bo Zhang
https://arxiv.org/abs/2510.08959

DualResearch: Entropy-Gated Dual-Graph Retrieval for Answer Reconstruction
The deep-research framework orchestrates external tools to perform complex, multi-step scientific reasoning that exceeds the native limits of a single large language model. However, it still suffers from context pollution, weak evidentiary support, and brittle execution paths. To address these issues, we propose DualResearch, a retrieval and fusion framework that matches the epistemic structure of tool-intensive reasoning by jointly modeling two complementary graphs: a breadth semantic graph th…

Answering one key preseason question for 20 NFL teams https://www.espn.com/fantasy/football/story/_/id/45959542/fantasy-football-2025-nfl-position-battles-surprises-breakouts

Neural Bandit Based Optimal LLM Selection for a Pipeline of Tasks
Baran Atalar, Eddie Zhang, Carlee Joe-Wong
https://arxiv.org/abs/2508.09958 https://arxiv…

Neural Bandit Based Optimal LLM Selection for a Pipeline of Tasks
With the increasing popularity of large language models (LLMs) for a variety of tasks, there has been a growing interest in strategies that can predict which out of a set of LLMs will yield a successful answer at low cost. This problem promises to become more and more relevant as providers like Microsoft allow users to easily create custom LLM "assistants" specialized to particular types of queries. However, some tasks (i.e., queries) may be too specialized and difficult for a single LLM to han…

John Harbaugh: staff changes not 'the answer' as DC Zach Orr draws scrutiny amid Ravens 1-4 start

https://www.cbssports.com/nfl/news/john-ha

LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation
Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
https://arxiv.org/abs/2510.11358

LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation
Retrieval-augmented generation (RAG) enhances large language models (LLMs) by incorporating external knowledge. While traditional retrieval focuses on relevance, RAG's effectiveness depends on the utility of retrieved passages, i.e., the usefulness in facilitating the generation of an accurate and comprehensive answer. Existing studies often treat utility as a generic attribute, ignoring the fact that different LLMs may benefit differently from the same passage due to variations in internal kno…

Eight NFL teams that need preseason the most: Bears, Browns, Steelers among clubs with key questions to answer

https://www.cbssports.com/nfl/news/eight-n…

Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
Wonjoong Kim, Sangwu Park, Yeonjun In, Sein Kim, Dongha Lee, Chanyoung Park
https://arxiv.org/abs/2510.02837

Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
Although recent tool-augmented benchmarks incorporate complex user requests and diverse tools, the evaluation methods for most of them remain limited to answer matching. However, as the number of steps required to resolve a user request increases, a proper evaluation of an agent's performance must go beyond the final answer to also assess the problem-solving trajectory, including previously ignored aspects such as efficiency, hallucination, and adaptivity. The most straightforward method for ev…

Verbalized Algorithms
Supriya Lall, Christian Farrell, Hari Pathanjaly, Marko Pavic, Sarvesh Chezhian, Masataro Asai
https://arxiv.org/abs/2509.08150 https://

Verbalized Algorithms
Instead of querying LLMs in a one-shot manner and hoping to get the right answer for a reasoning task, we propose a paradigm we call \emph{verbalized algorithms} (VAs), which leverage classical algorithms with established theoretical understanding. VAs decompose a task into simple elementary operations on natural language strings that they should be able to answer reliably, and limit the scope of LLMs to only those simple tasks. For example, for sorting a series of natural language strings, \em…