
2025-07-21 09:24:40
Constructing and characterizing prime $\mathbb{Q}$-Fano threefolds of genus one and with six $1/2(1,1,1)$-singularites via key varieties
Hiromichi Takagi
https://arxiv.org/abs/2507.13657
Constructing and characterizing prime $\mathbb{Q}$-Fano threefolds of genus one and with six $1/2(1,1,1)$-singularites via key varieties
Hiromichi Takagi
https://arxiv.org/abs/2507.13657
Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR
Xiao Liang, Zhongzhi Li, Yeyun Gong, Yelong Shen, Ying Nian Wu, Zhijiang Guo, Weizhu Chen
https://arxiv.org/abs/2508.14029
Qudit-based scalable quantum algorithm for solving the integer programming problem
Kapil Goswami, Peter Schmelcher, Rick Mukherjee
https://arxiv.org/abs/2508.13906 https://
On upper bounds on the number of parts in the problem of partitioning sets into parts of smaller diameter
Arthur Igorevich Bikeev, Andrei Mikhailovich Raigorodskii
https://arxiv.org/abs/2508.14578
Nearly Tight Bounds for the Online Sorting Problem
Yossi Azar, Debmalya Panigrahi, Or Vardi
https://arxiv.org/abs/2508.14287 https://arxiv.org/pdf/2508.142…
So am I understanding this correctly that the upcoming NPM authentication and token changes mean our only publishing workflow options henceforth are either switching to OICD Trusted Publishing[1] via GitHub Actions or using granular access tokens. The problem with the former is that I wanted to migrate my projects to Codeberg soon (which isn't supported). The problem with the latter is that granular tokens are unsuitable for publishing packages from a large monorepo, since these tokens a…
“Anyone who claims to rely on the best scientific consensus today must report the current death toll in the Gaza genocide as ‘more than 115,000’ violent deaths or ‘more than 460,000’ overall.
Here, in detail, is why.”
https://www.counterpunch.org/202…
A double-phase Neumann problem with $p=1$
Alexandros Matsoukas, Nikos Yannakakis
https://arxiv.org/abs/2508.13772 https://arxiv.org/pdf/2508.13772
blew someone's mind the other day by telling them sf's sunset district is denser than the whole city of amsterdam. yup! it's car-centric but no, density is not the problem
The Rectilinear Marco Polo Problem
Ofek Gila (University of California, Irvine), Michael T. Goodrich (University of California, Irvine), Zahra Hadizadeh (University of Rochester), Daniel S. Hirschberg (University of California, Irvine), Shayan Taherijam (University of California, Irvine)
https://arxiv.org/abs/2508.14820
Approximating 1-in-3 SAT by linearly ordered hypergraph 3-colouring is NP-hard
Andrei Krokhin, Danny Vagnozzi
https://arxiv.org/abs/2508.14606 https://arxi…
On branching points in the Gilbert-Steiner problem
Danila Cherkashin
https://arxiv.org/abs/2507.13532 https://arxiv.org/pdf/2507.1353…
I’ve worked over the past year to reduce the amount of noise in my consciousness on a daily basis.
By that I mean - information noise, not literal sounds “noise”. (That problem was solved long ago by some good earplugs and noise canceling earphones.)
I’ve gotten used to spending less time on social media, regularly blocking most apps on my devices (anything with a feed news, most work communication apps, etc.), putting my phone and other devices aside for extended periods of time. Often go to work places with my iPad explicitly having its WiFi turned off and selecting cafes that don’t offer WiFi at all.
Negotiated better boundaries at work and in personal life where I exchange messages with people less often but try to make those interactions more meaningful, and people rarely expect me to respond to requests in less than 24 hours. Spent a lot of time setting up custom notification settings on all apps that would allow it, so I get fewer pings. With software, choosing fewer cloud-based options and using tools that are simple and require as few interruptions as possible.
Accustomed myself to lower-tech versions of doing things I like to do: reading on paper, writing by hand, drawing in physical sketchbooks, got a typewriter for typing without a screen. Choosing to call people on audio more, trying to make more of an effort to see people in person. Going to museums to look at art instead of browsing Pinterest. Defaulting to the library when looking for information.
I’m commenting on this now for two reasons:
1. I am pretty proud of myself for how much I’ve actually managed to reduce the constant stream of modern life esp. as a remote worker in tech!
2. Now that I’ve reached a breaking point of reducing enough noise that it’s NOTICEABLE - I am struck by the silence. I don’t know what to do with it. I don’t know how to navigate it and fill it. I made this space to be able to read and write and think more deeply - for now I feel stuck in limbo where I’m just reacquainting myself with the concept of having any space in my mind at all.
my conceptual framework part is about 1,5 pages too long. The problem is that I've condenced it for approx 2 hours. So I'm stuck. I need to work on some other part for a while. Writing articles is an amazingly fun pain in the ass.
Analyzing Undergraduate Problem-Solving in Physics Through Interaction With an AI Chatbot
Syed Furqan Abbas Hashmi, N. Sanjay Rebello
https://arxiv.org/abs/2508.14778 https://…
Worst-case Nonparametric Bounds for the Student T-statistic
David Edelman
https://arxiv.org/abs/2508.13226 https://arxiv.org/pdf/2508.13226
Do I at least get a poorly rushed conclusion with weird group sex at the end? https://cyberpunk.lol/@dirtwizard666/114888521066687558
> The underlying problem today was a malfunction at Amazon Web Services, where something called "DNS resolution" was not working
BBC putting quotes around "DNS resolution" there, like it's indecipherable Gen-Z slang.
https://www.bbc.co.uk/news/live/c5y8k7k6v1rt
I was just thinking about what you should do when you have a problem with an organisation you are part of, and so far (I've only just woken up) I think the steps are:
1. Wait - maybe it will pass
2. Act yourself to fix it - at the very least you will gain a better undertaking of the
3. Complain - perhaps the boss doesn't know theres a problem
4. Organise - what you can't fix alone you can fix together
5. Leave - if all else fails
And it feels lik…
Quantum algebra approach to univariate and multivariate rational functions of $q$-Racah type
Wolter Groenevelt, Carel Wagenaar
https://arxiv.org/abs/2507.13483
Replaced article(s) found for astro-ph.GA. https://arxiv.org/list/astro-ph.GA/new
[1/1]:
- Addressing the core-cusp and diversity problem of dwarf and disk galaxies using cold collisionles...
Liliya L. R. Williams, Jens Hjorth, Evan D. Skillman
An Elliptic-Parabolic Free Boundary Problem with Discontinuous Data
Dennis Kriventsov, Mar\'ia Soria-Carro
https://arxiv.org/abs/2508.13299 https://arx…
Amplitude maximization in stable systems, Schur positivity, and some conjectures on polynomial interpolation
Dmitrii M. Ostrovskii, Pavel S. Shcherbakov
https://arxiv.org/abs/2508.13554
Modular transformations of tau functions and conformal blocks on the torus
Fabrizio Del Monte, Harini Desiraju, Pavlo Gavrylenko
https://arxiv.org/abs/2508.14030 https://…
RiNNAL : a Riemannian ALM Solver for SDP-RLT Relaxations of Mixed-Binary Quadratic Programs
Di Hou, Tianyun Tang, Kim-Chuan Toh
https://arxiv.org/abs/2507.13776
Nearly Optimal Bounds on the Fourier sampling numbers of Besov Spaces
Jonathan W. Siegel
https://arxiv.org/abs/2508.13991 https://arxiv.org/pdf/2508.13991
An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem
Vincent Cohen-Addad, Fabian Kuhn, Zahra Parsaeian
https://arxiv.org/abs/2507.14089
High-Quality Axion Dark Matter at Gravitational Wave Interferometers
Disha Bandyopadhyay, Debasish Borah, Nayan Das, Rome Samanta
https://arxiv.org/abs/2509.14323 https://
The extended horizontal linear complementarity problem: iterative methods and error analysis
Shi-Liang Wu, Cui-Xia Li
https://arxiv.org/abs/2509.14491 https://
Finite graphs and configurations of points
Joseph Malkoun
https://arxiv.org/abs/2508.13472 https://arxiv.org/pdf/2508.13472
@… this is a tricky problem, because we have US notation and European one (1,000.00 vs 1.000,00).
People are kind of used to see both on screens so I'd say most important is to avoid confusion at all cost when it comes to money.
Space is a good way I guess. Valid for most languages and clear.
Replaced article(s) found for physics.hist-ph. https://arxiv.org/list/physics.hist-ph/new
[1/1]:
- The Algebra of the Pseudo-Observables II: The Measurement Problem
Edoardo Piparo
Crosslisted article(s) found for math.AG. https://arxiv.org/list/math.AG/new
[1/1]:
- Positive polynomials and the truncated moment problem on plane cubics
Mario Kummer, Alja\v{z} Zalar
Additive Problems with Primes from a Thin Bohr Set
Sarvagya Jain
https://arxiv.org/abs/2508.12139 https://arxiv.org/pdf/2508.12139
Form factors of composite branch-point twist operators in the sinh-Gordon model on a multi-sheeted Riemann surface: semiclassical limit
Michael Lashkevich, Amir Nesturov
https://arxiv.org/abs/2508.12878
A Durrett-Remenik particle system in $\mathbb{R}^d$
Rami Atar
https://arxiv.org/abs/2507.13990 https://arxiv.org/pdf/2507.13990
Freeze-Tag is NP-hard in 2D with $L_1$ distance
Lucas de Oliveira Silva, Lehilton Lelis Chaves Pedrosa
https://arxiv.org/abs/2509.14357 https://arxiv.org/p…
The Maximum Coverage Model and Recommendation System for UAV Vertiports Location Planning
Chunliang Hua, Xiao Hu, Jiayang Sun, Zeyuan Yang
https://arxiv.org/abs/2508.12651 https…
Cislunar Resonant Transport and Heteroclinic Pathways: From 3:1 to 2:1 to L1
Bhanu Kumar, Anjali Rawat, Aaron J. Rosengren, Shane D. Ross
https://arxiv.org/abs/2509.12675 https:…
Crosslisted article(s) found for cs.LO. https://arxiv.org/list/cs.LO/new
[1/1]:
- The Constraint Satisfaction Problem Over Multisorted Cores
Dejan Delic, John Marcoux
Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/2]:
- G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
Gao, Pi, Zhang, Ye, Zhong, Wang, Hong, Han, Xu, Li, Kong
Improved Online Sorting
Jubayer Nirjhor, Nicole Wein
https://arxiv.org/abs/2508.14361 https://arxiv.org/pdf/2508.14361
Replaced article(s) found for quant-ph. https://arxiv.org/list/quant-ph/new
[1/2]:
- The Algebra of the Pseudo-Observables II: The Measurement Problem
Edoardo Piparo
Crosslisted article(s) found for math.DS. https://arxiv.org/list/math.DS/new
[1/1]:
- Segmentation of the spacecraft transfer problem through overdetermined and continuity constraints...
Allan Kardec de Almeida Junior
The Chapman-Enskog Divergence Problem in Plasma Transport: Structural Limitations and a Practical Regularization Approach
Justo Karell
https://arxiv.org/abs/2508.12390 https://
This is a public service announcement for all the dollar-store Sherlock Holmes’s out there who clearly have nothing better to do than to concoct conspiracy theories about people from Gaza on the fediverse who are faced with genocide and famine:
Stop.
Have some humanity.
Case in point, do not do what Daniel (@helmet91@mastodon.social) is doing here:
KI soll 600.000 fehlende Beamte ersetzen? Klingt wie der Plan eines Startups, das gerade seine erste Fördermillion verbrannt hat.
Problem 1: KI ist kein Zauberstab.
Problem 2: Selbst wenn – die Infrastruktur dahinter gleicht oft noch einem Flickenteppich aus den 90ern.
Problem 3: Bürger wollen keine Algorithmen. Sie wollen funktionierende Behördengänge. Wie bei Amazon. Nur ohne Prime-Mitgliedschaft.
Gaussian Multiplier Bootstrap Procedure for the $\kappa$th Largest Coordinate of High-Dimensional Statistics
Yixi Ding, Qizhai Li, Yuke Shi, Liuquan Sun
https://arxiv.org/abs/2508.14400
Non-radial solutions for the critical quasi-linear H\'{e}non equation involving $p$-Laplacian in $\R^N$
Wei Dai, Lixiu Duan, Changfeng Gui, Yuan Li
https://arxiv.org/abs/2508.13539
Replaced article(s) found for physics.ed-ph. https://arxiv.org/list/physics.ed-ph/new
[1/1]:
- Using Large Language Models to Assign Partial Credit to Students' Explanations of Problem-Solving...
Zhongzhou Chen, Tong Wan
Re-weighting estimator for ab initio path integral Monte Carlo simulations of fictitious identical particles
Tobias Dornheim, Pontus Svensson, Paul Hamann, Sebastian Schwalbe, Zhandos Moldabekov, Panagiotis Tolias, Jan Vorberger
https://arxiv.org/abs/2508.12323
An analytical parameterization for all solutions of the two-dimensional moment problem under Carleman-type conditions
Sergey M. Zagorodnyuk
https://arxiv.org/abs/2508.10823 http…
Titans coach Brian Callahan was a problem in sickening Week 1 loss to Broncos
https://www.cbssports.com/nfl/news/titans-coach-brian-callahan-was-a-probl…
Spectral Tur\'an-type problem in non-$r$-partite graphs: Forbidden generalized book graph $B_{r,k}$
Yuantian Yu, Shuchao Li
https://arxiv.org/abs/2508.12034 https://
Reverse Hurwitz counts of genus 1 curves
Michael Mueller
https://arxiv.org/abs/2509.11280 https://arxiv.org/pdf/2509.11280…
Die CDU in Stuttgart völlig fanatisch am Hallozinieren. In ihrem Wahn völlig ungeeignet ihre einfachsten privaten Probleme zu lösen. Solche Leute sollten nicht auch noch Regierungsverantwortung bekommen.
Vaihingen ist ein Stadtrandstadtteil mit freistehenden Häusern und großen Gärten. Als ich dort wohnte stand mein Auto auf unserem Grundstück und nicht auf Kosten der Gesellschaft auf der Straße. Die CDU tritt auf wie ein Baby, das sich die Windel nicht wechseln kann.
A Nonlinear Scaling-based Design of Control Lyapunov-barrier Function for Relative Degree 2 Case and its Application to Safe Feedback Linearization
Haechan Pyon, Gyunghoon Park
https://arxiv.org/abs/2509.15071
Indoor Airflow Imaging Using Physics-Informed Background-Oriented Schlieren Tomography
Arjun Teh, Wael H. Ali, Joshua Rapp, Hassan Mansour
https://arxiv.org/abs/2509.14442 https…
Should we teach vibe coding? Here's why not.
Should AI coding be taught in undergrad CS education?
1/2
I teach undergraduate computer science labs, including for intro and more-advanced core courses. I don't publish (non-negligible) scholarly work in the area, but I've got years of craft expertise in course design, and I do follow the academic literature to some degree. In other words, In not the world's leading expert, but I have spent a lot of time thinking about course design, and consider myself competent at it, with plenty of direct experience in what knowledge & skills I can expect from students as they move through the curriculum.
I'm also strongly against most uses of what's called "AI" these days (specifically, generative deep neutral networks as supplied by our current cadre of techbro). There are a surprising number of completely orthogonal reasons to oppose the use of these systems, and a very limited number of reasonable exceptions (overcoming accessibility barriers is an example). On the grounds of environmental and digital-commons-pollution costs alone, using specifically the largest/newest models is unethical in most cases.
But as any good teacher should, I constantly question these evaluations, because I worry about the impact on my students should I eschew teaching relevant tech for bad reasons (and even for his reasons). I also want to make my reasoning clear to students, who should absolutely question me on this. That inspired me to ask a simple question: ignoring for one moment the ethical objections (which we shouldn't, of course; they're very stark), at what level in the CS major could I expect to teach a course about programming with AI assistance, and expect students to succeed at a more technically demanding final project than a course at the same level where students were banned from using AI? In other words, at what level would I expect students to actually benefit from AI coding "assistance?"
To be clear, I'm assuming that students aren't using AI in other aspects of coursework: the topic of using AI to "help you study" is a separate one (TL;DR it's gross value is not negative, but it's mostly not worth the harm to your metacognitive abilities, which AI-induced changes to the digital commons are making more important than ever).
So what's my answer to this question?
If I'm being incredibly optimistic, senior year. Slightly less optimistic, second year of a masters program. Realistic? Maybe never.
The interesting bit for you-the-reader is: why is this my answer? (Especially given that students would probably self-report significant gains at lower levels.) To start with, [this paper where experienced developers thought that AI assistance sped up their work on real tasks when in fact it slowed it down] (https://arxiv.org/abs/2507.09089) is informative. There are a lot of differences in task between experienced devs solving real bugs and students working on a class project, but it's important to understand that we shouldn't have a baseline expectation that AI coding "assistants" will speed things up in the best of circumstances, and we shouldn't trust self-reports of productivity (or the AI hype machine in general).
Now we might imagine that coding assistants will be better at helping with a student project than at helping with fixing bugs in open-source software, since it's a much easier task. For many programming assignments that have a fixed answer, we know that many AI assistants can just spit out a solution based on prompting them with the problem description (there's another elephant in the room here to do with learning outcomes regardless of project success, but we'll ignore this over too, my focus here is on project complexity reach, not learning outcomes). My question is about more open-ended projects, not assignments with an expected answer. Here's a second study (by one of my colleagues) about novices using AI assistance for programming tasks. It showcases how difficult it is to use AI tools well, and some of these stumbling blocks that novices in particular face.
But what about intermediate students? Might there be some level where the AI is helpful because the task is still relatively simple and the students are good enough to handle it? The problem with this is that as task complexity increases, so does the likelihood of the AI generating (or copying) code that uses more complex constructs which a student doesn't understand. Let's say I have second year students writing interactive websites with JavaScript. Without a lot of care that those students don't know how to deploy, the AI is likely to suggest code that depends on several different frameworks, from React to JQuery, without actually setting up or including those frameworks, and of course three students would be way out of their depth trying to do that. This is a general problem: each programming class carefully limits the specific code frameworks and constructs it expects students to know based on the material it covers. There is no feasible way to limit an AI assistant to a fixed set of constructs or frameworks, using current designs. There are alternate designs where this would be possible (like AI search through adaptation from a controlled library of snippets) but those would be entirely different tools.
So what happens on a sizeable class project where the AI has dropped in buggy code, especially if it uses code constructs the students don't understand? Best case, they understand that they don't understand and re-prompt, or ask for help from an instructor or TA quickly who helps them get rid of the stuff they don't understand and re-prompt or manually add stuff they do. Average case: they waste several hours and/or sweep the bugs partly under the rug, resulting in a project with significant defects. Students in their second and even third years of a CS major still have a lot to learn about debugging, and usually have significant gaps in their knowledge of even their most comfortable programming language. I do think regardless of AI we as teachers need to get better at teaching debugging skills, but the knowledge gaps are inevitable because there's just too much to know. In Python, for example, the LLM is going to spit out yields, async functions, try/finally, maybe even something like a while/else, or with recent training data, the walrus operator. I can't expect even a fraction of 3rd year students who have worked with Python since their first year to know about all these things, and based on how students approach projects where they have studied all the relevant constructs but have forgotten some, I'm not optimistic seeing these things will magically become learning opportunities. Student projects are better off working with a limited subset of full programming languages that the students have actually learned, and using AI coding assistants as currently designed makes this impossible. Beyond that, even when the "assistant" just introduces bugs using syntax the students understand, even through their 4th year many students struggle to understand the operation of moderately complex code they've written themselves, let alone written by someone else. Having access to an AI that will confidently offer incorrect explanations for bugs will make this worse.
To be sure a small minority of students will be able to overcome these problems, but that minority is the group that has a good grasp of the fundamentals and has broadened their knowledge through self-study, which earlier AI-reliant classes would make less likely to happen. In any case, I care about the average student, since we already have plenty of stuff about our institutions that makes life easier for a favored few while being worse for the average student (note that our construction of that favored few as the "good" students is a large part of this problem).
To summarize: because AI assistants introduce excess code complexity and difficult-to-debug bugs, they'll slow down rather than speed up project progress for the average student on moderately complex projects. On a fixed deadline, they'll result in worse projects, or necessitate less ambitious project scoping to ensure adequate completion, and I expect this remains broadly true through 4-6 years of study in most programs (don't take this as an endorsement of AI "assistants" for masters students; we've ignored a lot of other problems along the way).
There's a related problem: solving open-ended project assignments well ultimately depends on deeply understanding the problem, and AI "assistants" allow students to put a lot of code in their file without spending much time thinking about the problem or building an understanding of it. This is awful for learning outcomes, but also bad for project success. Getting students to see the value of thinking deeply about a problem is a thorny pedagogical puzzle at the best of times, and allowing the use of AI "assistants" makes the problem much much worse. This is another area I hope to see (or even drive) pedagogical improvement in, for what it's worth.
1/2
Surface Stokes Without Inf-Sup Condition
Ricardo H. Nochetto, Mansur Shakipov
https://arxiv.org/abs/2508.13342 https://arxiv.org/pdf/2508.13342
The tame Deligne-Simpson problem
Cheng Shu
https://arxiv.org/abs/2509.11841 https://arxiv.org/pdf/2509.11841
Robot Policy Evaluation for Sim-to-Real Transfer: A Benchmarking Perspective
Xuning Yang, Clemens Eppner, Jonathan Tremblay, Dieter Fox, Stan Birchfield, Fabio Ramos
https://arxiv.org/abs/2508.11117
Multiplicity of dead core solutions in indefinite elliptic problems
Vladimir Bobkov, Humberto Ramos Quoirin
https://arxiv.org/abs/2507.14016 https://
On the Linearization of Certain Singularities of Nijenhuis Operators
Andrey Yu. Konyaev
https://arxiv.org/abs/2509.10155 https://arxiv.org/pdf/2509.10155…
Sample efficient likelihood-free inference for virus dynamics with different types of experiments
Yingying Xu, Ulpu Remes, Enrico Rinaldi, Henri Pesonen
https://arxiv.org/abs/2508.11042
Exact solution of the two-magnon problem in the $k=-\pi/2$ sector of a finite-size anisotropic spin-$1/2$ frustrated ferromagnetic chain
Zimeng Li, Ning Wu
https://arxiv.org/abs/2509.09659
Cowboys Have 1 Glaring Problem Going Into the New Season https://heavy.com/sports/nfl/dallas-cowboys/cowboys-have-1-glaring-problem-season/?adt_ei=[email]
Efficient Algorithms for Disjoint Shortest Paths Problem and its Extensions
Keerti Choudhary, Amit Kumar, Lakshay Saggi
https://arxiv.org/abs/2509.14588 https://
The Gaussian Minkowski problem for epigraphs of convex functions
Xiao Li, Deping Ye
https://arxiv.org/abs/2508.12028 https://arxiv.org/pdf/2508.12028
Plancherel-P\'{o}lya's Type of Instability in Vibration System with Multiple Frozen Arguments
Lung-Hui Chen, Chung-Tsun Shieh
https://arxiv.org/abs/2508.11101 https://…
The Diophantine Frobenius Problem revisited
Yuchen Ding, Weijia Wang, Hao Zhang
https://arxiv.org/abs/2509.08599 https://arxiv.org/pdf/2509.08599
Fair distribution of bundles
Pablo Sober\'on
https://arxiv.org/abs/2507.13421 https://arxiv.org/pdf/2507.13421
$L^2$-solutions to stochastic reaction-diffusion equations with superlinear drifts driven by space-time white noise^
Shijie Shang, Pengyu Wang, Tusheng Zhang
https://arxiv.org/abs/2509.12744
H\"older stability of an inverse spectral problem for the magnetic Schr\"odinger operator on a simple manifold
Boya Liu, Hadrian Quan, Teemu Saksala, Lili Yan
https://arxiv.org/abs/2507.13619
@helmet91@mastodon.social These people are literally faced with genocide and famine and you’re out here acting like a dollar-store Sherlock Holmes.
I’ve told you several times now that I’ve had live video conversations over Signal with Nouran and her brother Yousef.
I don’t know what your problem is but what you’re doing by spreading this FUD is deplorable. I just saw that you wrote this blog post also:
Weighted First Order Model Counting for Two-variable Logic with Axioms on Two Relations
Qipeng Kuang, V\'aclav K\r{u}la, Ond\v{r}ej Ku\v{z}elka, Yuanhong Wang, Yuyi Wang
https://arxiv.org/abs/2508.11515
Asymptotic minimality of one-dimensional transition profiles in Aviles-Giga type models: an approach via 1-currents
Radu Ignat, Roger Moser
https://arxiv.org/abs/2508.13753 http…
Excitation Gaps of Ground and Excited State Energy of the Fermi-Hubbard Model Using Variational Quantum Eigensolver
Mrinal Dev, Bikash K. Behera, Vivek Vyas, Prasanta K. Panigrahi
https://arxiv.org/abs/2508.12307
Tight Bounds for Sparsifying Random CSPs
Joshua Brakensiek, Venkatesan Guruswami, Aaron Putterman
https://arxiv.org/abs/2508.13345 https://arxiv.org/pdf/25…
$S$-units and period length of continued fractions of linear recursions
Veekesh Kumar, Vivek Singh, Johannes Sprang
https://arxiv.org/abs/2509.14599 https://
Real-Analyticity of the Density of States for Random Schr\"odinger operators with Point Interactions
Masahiro Kaminaga
https://arxiv.org/abs/2508.12664 https://
Faster Multi-Source Reachability and Approximate Distances via Shortcuts, Hopsets and Matrix Multiplication
Michael Elkin, Chhaya Trehan
https://arxiv.org/abs/2507.13470
The maximum number of triangles in $K_{1,s,t}$-free graphs
Asier Calbet, Ritesh Goenka
https://arxiv.org/abs/2508.10611 https://arxiv.org/pdf/2508.10611
Language models align with brain regions that represent concepts across modalities
Maria Ryskina, Greta Tuckute, Alexander Fung, Ashley Malkin, Evelina Fedorenko
https://arxiv.org/abs/2508.11536
On the ternary Estermann problem with almost proportional summands
Firuz Rakhmonov
https://arxiv.org/abs/2510.05602 https://arxiv.org/pdf/2510.05602…
Global well-posedness of the NLS hierarchy with nonzero boundary condition
Xian Liao, Robert Wegner
https://arxiv.org/abs/2508.14572 https://arxiv.org/pdf/…
Randomised algebraic constructions for the no-$(k 1)$-in-line problem
Benedek Kov\'acs, Zolt\'an L\'or\'ant Nagy, D\'avid R. Szab\'o
https://arxiv.org/abs/2508.07632
You cannot capture the essence of capitalism in a single pho- https://me.dm/@davidtoddmccarty/114944150346707896
Bicentric configurations of pentagonal linkages
Ana Diakvnishvili
https://arxiv.org/abs/2508.11427 https://arxiv.org/pdf/2508.11427
Falconer's problem for dot product on paraboloids
Chun-Kai Tseng
https://arxiv.org/abs/2509.11710 https://arxiv.org/pdf/2509.11710
Crosslisted article(s) found for math.AP. https://arxiv.org/list/math.AP/new
[1/1]:
- The Gaussian Minkowski problem for epigraphs of convex functions
Xiao Li, Deping Ye
A generalised Ramsey--Tur\'an problem for matchings
Peter Keevash, Peleg Michaeli
https://arxiv.org/abs/2509.10679 https://arxiv.org/pdf/2509.10679
Streaming periodicity with mismatches, wildcards, and edits
Taha El Ghazi, Tatiana Starikovskaya
https://arxiv.org/abs/2509.14898 https://arxiv.org/pdf/250…
Equivalence between solvability of the Dirichlet and Regularity problem under an $L^1$ Carleson condition on $\partial_t A$
Martin Ulmer
https://arxiv.org/abs/2509.10328 https:/…
On Fixed-Parameter Tractability of Weighted 0-1 Timed Matching Problem on Temporal Graphs
Rinku Kumar, Bodhisatwa Mazumdar, Subhrangsu Mandal
https://arxiv.org/abs/2508.10562 ht…
On the edge expansion of random polytopes
Asaf Ferber, Michael Krivelevich, Marcelo Sales, Wojciech Samotij
https://arxiv.org/abs/2509.09831 https://arxiv.…
Multiple sign-changing solutions for semilinear subelliptic Dirichlet problem
Hua Chen, Hong-Ge Chen, Jin-Ning Li, Xin Liao
https://arxiv.org/abs/2510.10120 https://
Ill-posedness in $B^s_{p,\infty}$ of the Euler equations: Non-continuous dependence
Jinlu Li, Yanghai Yu
https://arxiv.org/abs/2509.12619 https://arxiv.org…
$\mathrm{L}^p$-based Sobolev theory for PDEs on closed manifolds of class $C^m$
Gonzalo A. Benavides, Ricardo H. Nochetto, Mansur Shakipov
https://arxiv.org/abs/2508.11109 https…