
2025-08-07 08:50:13
Twisted conjugacy in $BS(n, 1)$
Oorna Mitra, Mallika Roy, Enric Ventura
https://arxiv.org/abs/2508.04397 https://arxiv.org/pdf/2508.04397
Twisted conjugacy in $BS(n, 1)$
Oorna Mitra, Mallika Roy, Enric Ventura
https://arxiv.org/abs/2508.04397 https://arxiv.org/pdf/2508.04397
On certain root number $1$ cases of the cube sum problem
Shamik Das, Somnath Jha
https://arxiv.org/abs/2508.05361 https://arxiv.org/pdf/2508.05361
An improved construction for the triangle removal lemma
Zach Hunter
https://arxiv.org/abs/2507.05231 https://arxiv.org/pdf/2507.05231…
The probabilities for the number of intersections in the Buffon-Laplace needle problem in $\mathbb{R}^d$
Uwe B\"asel
https://arxiv.org/abs/2508.04640 https://
Color Distance Oracles and Snippets: Separation Between Exact and Approximate Solutions
Noam Horowicz, Tsvi Kopelowitz
https://arxiv.org/abs/2507.04578 htt…
The occupation dependent DFT-1/2 method
Shengxin Yang, Jiangzhen Shi, Kan-Hao Xue, Jun-Hui Yuan, Xiangshui Miao
https://arxiv.org/abs/2507.04804 https://…
Day 1: Gene starts thread asking why his Thunderbird looks weird.
https://lists.debian.org/msgid-search/acb28fa6-4521-4848-ae20-7fc5b5b72a76@shentel.net
Day 3, 32 mails in: Gene works out which desktop environment he is using.
"Two final considerations include (1) the necessity of being both deliberate and strategic and (2) the importance of being flexible and even whimsical about your future."
https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.…
Rational lemniscates and the matching problem
Kirill Lazebnik, Pierre-Olivier Paris\'e, Malik Younsi
https://arxiv.org/abs/2507.03547 https://
I am ignorant on what it is to be trans or a woman or a world-class athlete, but I THINK the problem here is a doomed project of representing a multidimensional continuously variable attribute with a single Boolean https://infosec.exchange/@JessTheUnstill/114639211101368863
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
On the conjugacy problem for subdirect products of hyperbolic groups
Martin R. Bridson
https://arxiv.org/abs/2507.05087 https://arxiv…
An old friend of mine is a Hasher. Shout-out to Pollywaffle from Canberra. https://sudomakecake.com/@woollypigs/114640950327552671
On Shelah's Approachability Ideal
Hannes Jakob, Alejandro Poveda
https://arxiv.org/abs/2508.04374 https://arxiv.org/pdf/2508.04374
MD-LLM-1: A Large Language Model for Molecular Dynamics
Mhd Hussein Murtada, Z. Faidon Brotzakis, Michele Vendruscolo
https://arxiv.org/abs/2508.03709 https://
Retrodicting Chaotic Systems: An Algorithmic Information Theory Approach
Kamal Dingle, Boumediene Hamzi, Marcus Hutter, Houman Owhadi
https://arxiv.org/abs/2507.04780
This is the first numerical problem I ever did. It demonstrates the
power of computers:
Enter lots of data on calorie & nutritive content of foods. Instruct
the thing to maximize a function describing nutritive content, with a
minimum level of each component, for fixed caloric content. The
results are that one should eat each day:
1/2 chicken
1 egg
1 glass of skim milk
27 heads of lettuce.
-- Rev. Adrian Melott
Replaced article(s) found for cs.NE. https://arxiv.org/list/cs.NE/new
[1/1]:
- A Census-Based Genetic Algorithm for Target Set Selection Problem in Social Networks
Md. Samiur Rahman, Mohammad Shamim Ahsan, Cheng-Wu Chen, Vijayakumar Varadarajan
Gordian split links in the Gehring ropelength problem
Friedrich Bauermeister
https://arxiv.org/abs/2506.04644 https://arxiv.org/pdf/2…
Global strong solution of the 3D compressible liquid crystal flows with density-dependent viscosity and large velocity
Jiaxu Li, Yu Mei, Rong Zhang
https://arxiv.org/abs/2507.04760
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]
You cannot capture the essence of capitalism in a single pho- https://me.dm/@davidtoddmccarty/114944150346707896
Communication Round and Computation Efficient Exclusive Prefix-Sums Algorithms (for MPI_Exscan)
Jesper Larsson Tr\"aff
https://arxiv.org/abs/2507.04785
Spectral Tur\'{a}n problem of non-bipartite graphs: Forbidden books
Ruifang Liu, Lu Miao
https://arxiv.org/abs/2506.04884 https://
Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising
Xiaoxi Cui, Weihai Lu, Yu Tong, Yiheng Li, Zhejun Zhao
https://arxiv.org/abs/2508.05352
Covariant and Gauge-invariant Metric-based Gravitational-waves Extraction in Numerical Relativity
Joan Fontbut\'e, Sebastiano Bernuzzi, Simone Albanesi, David Radice, Alireza Rashti, William Cook, Boris Daszuta, Alessandro Nagar
https://arxiv.org/abs/2508.03799
Best approximation of a three-variable function by sum of one-variable coordinate functions
Rashid A. Aliev, Vugar A. Guliyev, Amil F. Jabiyev
https://arxiv.org/abs/2507.04747
P\'olya's conjecture up to $\epsilon$-loss and quantitative estimates for the remainder of Weyl's law
Renjin Jiang, Fanghua Lin
https://arxiv.org/abs/2507.04307
Asymptotic Plateau problem for $2$-convex hypersurface in $\mathbb{H}^4$
Defa Chen, Zhenan Sui, Letao Sun
https://arxiv.org/abs/2506.00565 https://
Tired of how much Canadian journalism focus on the US. Sure let's do it about trade policies that impact us.. but their non-stop stupidity and fuckery, we just don't need to see that.
They are gerrymandering in Texas, this is their fucking problem. Why should it be the #1 news of the Canadian public broadcaster? What can I do? How does that concern me?
And yes, human rights abuse should be denounced.
Are we running out of problems in Canada to talk about? I don…
Counting linear congruence systems with a fixed number of solutions
Marcus Nilsson
https://arxiv.org/abs/2507.04688 https://arxiv.org…
MoDA: Multi-modal Diffusion Architecture for Talking Head Generation
Xinyang Li, Gen Li, Zhihui Lin, Yichen Qian, GongXin Yao, Weinan Jia, Weihua Chen, Fan Wang
https://arxiv.org/abs/2507.03256
Bicriteria approximation for $k$-edge-connectivity
Zeev Nutov, Reut Cohen
https://arxiv.org/abs/2507.03786 https://arxiv.org/pdf/2507…
Die Erde speichert derzeit mehr als doppelt so viel Wärme, wie #Klimamodelle es erwarten.
Die #Energieungleichgewicht liegt 2023 bei 1,8 W/m² und übersteigt die Prognosen deutlich. Forscher vermuten eine abnehmende
And this, people, is why Europe ABSOLUTELY NEEDS RIGHT FREAKING NOW its own human-graded space access system.
I'll never understand why nobody at #ESA thought of developping further the ATV in order to be also used to send people up instead of just cargo.
I know, the problem was mostly in bringing people down, as the ATV was designed to burn up in the atmosphere. But still. Now we…
Hypergraph Tur\'an problem of the generalized triangle with bounded matching number
Jian Wang, Wenbin Wang, Weihua Yang
https://arxiv.org/abs/2507.04579
"The big problem is 'bottlenecks' that make it harder to produce housing, expand energy production, or build new roads and bridges."
vs.
"The big problem is that big corporations have way too much power over our economy and our government."
By 12pts all voters and by 42pts Dem voters prefer the second statement. They're right!
Johann Steurer und Erich W. Russi konnten als Ärzte 120% arbeiten, weil sie im Backoffice eine Frau hatten, die sich um Haushalt und Kinder kümmerte. Dass dies ein Problem sein kann, sehen sie nicht.
https://www.tagesanzeiger.ch/zuerich-rueckzahlung-der-studienkosten-gegen-aerztemangel-672603559843
Green\'s Mapping and Julia Sets
Ilia Binder, Paul F. X. M\"uller, Peter Yuditskii
https://arxiv.org/abs/2508.04207 https://arxiv.org/pdf/2508.0420…
Comments on QED$_3$ in a Magnetic Field
Thomas T. Dumitrescu, Juan Maldacena
https://arxiv.org/abs/2508.03532 https://arxiv.org/pdf/2508.03532
Evolution problem for the $1$-Laplacian with mixed boundary conditions
N. Igbida, J. M. Maz\'on, J. Toledo
https://arxiv.org/abs/2508.01809 https://arx…
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
Reducing Profile-Based Matching to the Maximum Weight Matching Problem
Seongbeom Park
https://arxiv.org/abs/2507.00047 https://arxiv.…
Squares, three fleas, sporadic integer sets, and squares
Giedrius Alkauskas
https://arxiv.org/abs/2508.05347 https://arxiv.org/pdf/2508.05347
Replaced article(s) found for cs.CC. https://arxiv.org/list/cs.CC/new
[1/1]:
- On the Counting Complexity of the Skolem Problem
Gorav Jindal, Jo\"el Ouaknine
Czy ktoś jeszcze ma taki problem na moim blogu?
https://pol.social/@mstankiewicz_prywatnie/114953802904907641
Orbit recovery for spherical functions
Tamir Bendory, Dan Edidin, Josh Katz, Shay Kreymer
https://arxiv.org/abs/2508.02674 https://arxiv.org/pdf/2508.02674…
Iteration Steps of 3x 1 Problem
Youchun Luo
https://arxiv.org/abs/2506.23070 https://arxiv.org/pdf/2506.23070
Sufficient conditions of $k$-leaf-connected graphs and spanning trees with bounded total $k$-excess
Guoyan Ao, Ruifang Liu, Jinjiang Yuan
https://arxiv.org/abs/2507.04400
Replaced article(s) found for cs.LO. https://arxiv.org/list/cs.LO/new
[1/1]:
- The Boolean Solution Problem from the Perspective of Predicate Logic -- Extended Version
Christoph Wernhard
housing ownership law possibilities
Should we maybe have a law that says any one person or entity can only own a max of 2 houses? Or that you can only own 1 not being lived in by your immediate family?
I can see several reasonable use cases for having 1 extra house, including when an old person dies and the family takes a while to decide what's happening with their previous house. And we could debate those cases, and maybe even decide it's not worth arguing over 2 or 3 extra, because that isn't the biggest problem.
But I think we could possibly mostly agree that having one person or company own 5 or 10 or 50 or 500 houses just to extract profit from them is not good for overall wellbeing.
#housing #law #HouseOwnership #HousingMarket #renting #RentalMarket
Faster MPC Algorithms for Approximate Allocation in Uniformly Sparse Graphs
Jakub {\L}\k{a}cki, Slobodan Mitrovi\'c, Srikkanth Ramachandran, Wen-Horng Sheu
https://arxiv.org/abs/2506.04524
I am looking at switching away from Spotify and currently looking at Apple Music.
I can understand artists/labels not publishing to Apple Music, no problem with that.
The problem I have is that 1 track on the album (which just happens to be my favourite of the album) is just not there on Apple Music.
It's not geo-locked (I'll get onto that in a min) but my god, it is so stupid.
Thankfully this particular artist, I support on Bandcamp, so no major loss there.
Prediction of acoustic field in 1-D uniform duct with varying mean flow and temperature using neural networks
D. Veerababu, Prasanta K. Ghosh
https://arxiv.org/abs/2507.22370 ht…
There’s exactly 1 narrow way that it’s true. Before widespread #WFH, attackers often had an insurmountable barrier: no way into the business network from the Internet. At the last gig (2008) where I had to visit a “workplace” regularly, inbound remote access was officially non-existent & outbound Internet access all went through restrictive web proxies.
Solving a real-world modular logistic scheduling problem with a quantum-classical metaheuristics
Florian Krellner, Abhishek Awasthi, Nico Kraus, Sarah Braun, Michael Poppel, Daniel Porawski
https://arxiv.org/abs/2507.21701
Replaced article(s) found for cs.CE. https://arxiv.org/list/cs.CE/new
[1/1]:
- The time slot allocation problem in liberalised passenger railway markets: a multi-objective appr...
Be\v{s}inovi\'c, Garc\'ia-R\'odenas, L\'opez-Garc\'ia, L\'opez-G\'omez, Mart\'i…
Exact algorithms for quadratic optimization over roots of unity
Ahmad Al-Sulami, Hamza Fawzi, Shengding Sun
https://arxiv.org/abs/2508.02006 https://arxiv.…
On the dynamics of a semigroup and its relation with the Riemann Hypothesis
Carlos F. \'Alvarez, Juan Manzur
https://arxiv.org/abs/2507.03625 https://
Resilient Pattern Mining
Pengxin Bian, Panagiotis Charalampopoulos, Lorraine A. K. Ayad, Manal Mohamed, Solon P. Pissis, Grigorios Loukides
https://arxiv.org/abs/2506.04935
Factorization of Basic Hypergeometric Series
Jonathan G. Bradley-Thrush
https://arxiv.org/abs/2507.04313 https://arxiv.org/pdf/2507.0…
Fractional Infinity Laplacian with Obstacle
Samer Dweik, Ahmad Sabra
https://arxiv.org/abs/2507.04328 https://arxiv.org/pdf/2507.0432…
This https://arxiv.org/abs/2501.00671 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…
Computing $H$-equations with 2-by-2 integral matrices
Gemma Bastardas, Enric Ventura
https://arxiv.org/abs/2506.05272 https://arxiv.o…
When Are Standard Graph Products Isomorphic?
Priti Prasanna Mondal, M. Rajesh Kannan, Fouzul Atik
https://arxiv.org/abs/2508.04137 https://arxiv.org/pdf/25…
Error analysis for a Finite Element Discretization of a radially symmetric harmonic map heat flow problem
Nam Anh Nguyen, Arnold Reusken
https://arxiv.org/abs/2506.23748
Non-radial minimizers for Hardy--Sobolev inequalities in non-convex cones
A. I. Nazarov, N. V. Rastegaev
https://arxiv.org/abs/2507.04470 https://
Generalized Hardy's identity for the astroid-type p-circle lattice point problem
Masaya Kitajima
https://arxiv.org/abs/2506.03331 https://
Tight Guarantees for Cut-Relative Survivable Network Design via a Decomposition Technique
Nikhil Kumar, JJ Nan, Chaitanya Swamy
https://arxiv.org/abs/2507.04473
Unknotting number is not additive under connected sum
Mark Brittenham, Susan Hermiller
https://arxiv.org/abs/2506.24088 https://arxiv…
Faster Distributed $\Delta$-Coloring via a Reduction to MIS
Yann Bourreau, Sebastian Brandt, Alexandre Nolin
https://arxiv.org/abs/2508.01762 https://arxiv…
On embedding of ample semigroups in inverse semigroups
Nasir Sohail, Aftab Hussain Shah, Kristo V\"aljako
https://arxiv.org/abs/2508.01949 https://arx…
This https://arxiv.org/abs/2501.10302 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…
Spectral extremal problem for the odd prism
Xinhui Duan, Lu Lu
https://arxiv.org/abs/2507.01266 https://arxiv.org/pdf/2507.01266
A weighted divisor problem and exponential sum
Kritika Aggarwal, Debika Banerjee
https://arxiv.org/abs/2507.01891 https://arxiv.org/p…
Bootstrap Percolation, Indecomposable Permutations, and the n-Kings problem
Mark Huibregtse, Cristobal Lemus-Vidales, David Vella
https://arxiv.org/abs/2508.02030 https://
Determining unit groups and $\mathrm{K}_1$ of finite rings
Tommy Hofmann
https://arxiv.org/abs/2506.00266 https://arxiv.org/pdf/2506.…
$C^{1,\alpha}$ regularity of the solution for the obstacle problem for the linearized Monge-Amp\`ere operator
Meng Ji
https://arxiv.org/abs/2505.24410 http…
Breaking the $n^{1.5}$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition
Anders Aamand, Justin Y. Chen, Mina Dalirrooyfard, Slobodan Mitrovi\'c, Yuriy Nevmyvaka, Sandeep Silwal, Yinzhan Xu
https://arxiv.org/abs/2507.01873
On one of Erd\H{o}s' Problems -- An Efficient Search for Benelux Pairs
Christian Hercher
https://arxiv.org/abs/2506.01099 https://
Replaced article(s) found for cs.DS. https://arxiv.org/list/cs.DS/new
[1/1]:
- A Maximum Linear Arrangement Problem on Directed Graphs
Matt DeVos, Kathryn Nurse
h…
Replaced article(s) found for math.AP. https://arxiv.org/list/math.AP/new
[1/1]:
- Subelliptic $p$-Laplacian spectral problem for H\"ormander vector fields
Mukhtar Karazym, Durvudkhan Suragan
On the Erd\H{o}s-Ko-Rado problem of flags with type $\{1, n-3 \}$ of finite sets
Philipp Heering
https://arxiv.org/abs/2506.20556 https://
A Refined Kernel for $d$-Hitting Set
Yuxi Liu, Mingyu Xiao
https://arxiv.org/abs/2506.24114 https://arxiv.org/pdf/2506.24114
Shape derivative approach to fractional overdetermined problems
Sidy M. Djitte, Ignace A. Minlend
https://arxiv.org/abs/2506.00268 https://
Code-based $[3,1]$-avoiders in finite affine spaces $\mathrm{AG}(n,2)$
Benedek Kov\'acs
https://arxiv.org/abs/2505.24072 https://…
This https://arxiv.org/abs/2405.05727 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…
Global existence of the solution of the modified Camassa-Holm equation with step-like boundary conditions
I. Karpenko, D. Shepelsky, G. Teschl
https://arxiv.org/abs/2507.02100
A 0.51-Approximation of Maximum Matching in Sublinear $n^{1.5}$ Time
Sepideh Mahabadi, Mohammad Roghani, Jakub Tarnawski
https://arxiv.org/abs/2506.01669 h…
Algebraic aspects of the polynomial Littlewood-Offord problem
Zhihan Jin, Matthew Kwan, Lisa Sauermann, Yiting Wang
https://arxiv.org/abs/2505.23335 https:…
On the Frobenius Problem for Some Generalized Fibonacci Subsequences -- II
Ryan Azim Shaikh, Amitabha Tripathi
https://arxiv.org/abs/2507.00495 https://
General monotone formula for homogeneous $k$-Hessian equation in the exterior domain and its applications
Jiabin Yin, Xingjian Zhou
https://arxiv.org/abs/2506.01434
Sums and differences of sets: a further improvement over AlphaEvolve
Fan Zheng
https://arxiv.org/abs/2506.01896 https://arxiv.org/pdf…
This https://arxiv.org/abs/2505.00493 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…
Improved bounds on the postage stamp problem for large numbers of stamps
Eric James Faust, Michael Tait
https://arxiv.org/abs/2507.23627 https://arxiv.org/…