
2025-07-30 13:26:14
Interesting discussion thread on open science
https://neuromatch.social/@adredish/114942098283461507
Interesting discussion thread on open science
https://neuromatch.social/@adredish/114942098283461507
Locating Extremal Periodic Orbits for the Planar Circular Restricted Three Body Problem using Polynomial Sum-of-Squares Optimization
Vinay Sharma, Sergei I Chernyshenko
https://arxiv.org/abs/2505.23430
On finite $\beta$-expansions for the set of natural numbers
T\'ulio O. Carvalho, Catharina M. Moreira
https://arxiv.org/abs/2507.19604 https://arxiv.or…
Inverse scattering without phase: Carleman convexification and phase retrieval via the Wentzel--Kramers--Brillouin approximation
Thuy T. Le, Phuong M. Nguyen, Loc H. Nguyen
https://arxiv.org/abs/2506.21699
from my link log —
Tiling with three polygons is undecidable.
https://arxiv.org/abs/2409.11582
saved 2024-11-21 https://dotat.at/…
Optimal Impulsive Control of Cislunar Relative Motion using Reachable Set Theory
Matthew Hunter, Walter J. Manuel, Simone D'Amico
https://arxiv.org/abs/2507.21425 https://…
City Corners 🏙️
城市角落 🏙️
📷 Minolta Hi-Matic AF
🎞️ILFORD FP4 Plus, expired 1995
buy me ☕️ ?/请我喝杯☕️?
#filmphotography
Hybrid fluid-kinetic cylindrical equilibria with axial background magnetic field
D. A. Kaltsas, A. I. Kuiroukidis, G. N. Throumoulopoulos
https://arxiv.org/abs/2507.20248 https:…
Monolithic framework to simulate fluid-structure interaction problems using geometric volume-of-fluid method
Soham Prajapati (Department of Aerospace Engineering and Mechanics, University of Minnesota - Twin Cities, Minneapolis, Minnesota, USA), Ali Fakhreddine (Department of Aerospace Engineering and Mechanics, University of Minnesota - Twin Cities, Minneapolis, Minnesota, USA), Krishnan Mahesh (Department of Aerospace Engineering and Mechanics, University of Minnesota - Twin Cities, …
rStar2-Agent: Agentic Reasoning Technical Report
Ning Shang, Yifei Liu, Yi Zhu, Li Lyna Zhang, Weijiang Xu, Xinyu Guan, Buze Zhang, Bingcheng Dong, Xudong Zhou, Bowen Zhang, Ying Xin, Ziming Miao, Scarlett Li, Fan Yang, Mao Yang
https://arxiv.org/abs/2508.20722
The Subset Sum Matching Problem
Yufei Wu, Manuel R. Torres, Parisa Zehtabi, Alberto Pozanco Lancho, Michael Cashmore, Daniel Borrajo, Manuela Veloso
https://arxiv.org/abs/2508.19218
Ligand Pose Generation via QUBO-Based Hotspot Sampling and Geometric Triplet Matching
Pei-Kun Yang
https://arxiv.org/abs/2507.20304 https://arxiv.org/pdf/2…
Hybrid Quantum-Classical Branch-and-Price Method for the Vertex Coloring Problem
Chiara Vercellino, M. Yassine Naghmouchi, Wesley Coelho, Giacomo Vitali, Alberto Scionti, Paolo Viviani, Olivier Terzo, Bartolomeo Montrucchio
https://arxiv.org/abs/2508.18887
Separation of Three or More Autonomous Mobile Models under Hierarchical Schedulers
Shota Naito, Tsukasa Ninomiya, Koichi Wada
https://arxiv.org/abs/2508.19805 https://
Incorporating Pre-trained Diffusion Models in Solving the Schr\"odinger Bridge Problem
Zhicong Tang, Tiankai Hang, Shuyang Gu, Dong Chen, Baining Guo
https://arxiv.org/abs/2508.18095
A comparative study of finite element methods for a class of harmonic map heat flow problems
Nam Anh Nguyen, Arnold Reusken
https://arxiv.org/abs/2508.20590 https://
On the Parameterized Complexity of Grundy Domination and Zero Forcing Problems
Robert Scheffler
https://arxiv.org/abs/2508.18104 https://arxiv.org/pdf/2508…
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
Three-point functions from integrability in $\mathcal{N}=2$ orbifold theories
Dennis le Plat, Torben Skrzypek
https://arxiv.org/abs/2506.21323 https://
Wild refitting for black box prediction
Martin J. Wainwright
https://arxiv.org/abs/2506.21460 https://arxiv.org/pdf/2506.21460…
Horn's problem in PU$(n,1)$
Arielle Marc-Zwecker (IF)
https://arxiv.org/abs/2507.17362 https://arxiv.org/pdf/2507.17362
Distinguishing Filling Invariants Associated to Conjugacy in Groups
Conan Gillis, Timothy Riley
https://arxiv.org/abs/2506.19264 https://
The problem of finding three numbers such that the sum or difference of any two of them is a square number
Seiji Tomita
https://arxiv.org/abs/2508.15781 https://
Triangle-free subsets of the Hypercube
Padmini Mukkamala
https://arxiv.org/abs/2506.18782 https://arxiv.org/pdf/2506.18782
Making Graphs Irregular through Irregularising Walks
Julien Bensmail, Romain Bourneuf, Paul Colinot, Samuel Humeau, Timoth\'ee Martinod
https://arxiv.org/abs/2506.21254
Disjunctions of Two Dependence Atoms
Nicolas Fr\"ohlich, Phokion G. Kolaitis, Arne Meier
https://arxiv.org/abs/2508.16146 https://arxiv.org/pdf/2508.1…
On the Shape of the Symmetric Solution Set of a Linear Complementarity Problem with Interval Data
Uwe Sch\"afer
https://arxiv.org/abs/2508.16824 https://
Formation of vacuum state and delta-shock in the solution of two-dimensional Riemann problem for zero pressure gas dynamics
Anamika Pandey, T. Raja Sekhar
https://arxiv.org/abs/2507.17213
Finite energy foliations in the restricted three-body problem
Lei Liu, Pedro A. S. Salom\~ao
https://arxiv.org/abs/2506.17867 https://
Epstein shit and adjacent, Rural America, Poverty, Abuse
Everyone who's not a pedophile thinks pedophiles are bad, but there's this special obsessed hatred you'll find among poor rural Americans. The whole QAnon/Epstein obsession may not really make sense to folks raised in cities. Like, why do these people think *so much* about pedophiles? Why do they think that everyone in power is a pedophile? Why would the Pizzagate thing make sense to anyone? What is this unhinged shit? A lot of folks (who aren't anarchists) might be inclined to ask "why can't these people just let the cops take care of it?"
I was watching Legal Eagle's run down on the Trump Epstein thing earlier today and I woke up thinking about something I don't know if I've ever talked about. Now that I'm not in the US, I'm not at any risk of talking about it. I don't know how much I would have been before, but that's not something I'm gonna dig into right now. So let me tell you a story that might explain a few things.
I'm like 16, maybe 17. I have my license, so this girl I was dating/not dating/just friends with/whatever would regularly convince me to drive her and her friends around. I think she's like 15 at the time. Her friends are younger than her.
She tells me that there's a party we can go to where they have beer. She was told to invite her friends, so I can come too. We're going to pick her friends up (we regularly fill the VW Golf well beyond the legal limit and drive places) and head to the party.
So I take these girls, at least is 13 years old, down to this party. I'm already a bit sketched out bringing a 13 year old to a party. We drive out for a while. It's in the country. We drive down a long dark road. Three are some barrel fires and a shack. This is all a bit strange, but not too abnormal for this area. We're a little ways outside of a place called Mill City (in Oregon).
We park and walk towards the shack. This dude who looks like a rat comes up and offers us beer. He laughs and talks to the girl who invited me, "What's he doing here? You're supposed to bring your girl friends." She's like, "He's our ride." I don't remember if he offered me a beer or not.
We go over to this shed and everyone starts smoking, except me because I didn't smoke until I turned 18. The other girls start talking about the rat face dude, who's wandered over by the fire with some other guys. They're mainly teasing one of the 13 year old girls about having sex with him a bunch of times. They say he's like, 32 or something. The other girls joke about him only having sex with 13 year olds because he's too ugly to have sex with anyone closer to his own age.
Somewhere along the line it comes out that he's a cop. I never forgot that, it's absolutely seared in to my memory. I can picture his face perfectly still, decades later, and them talking about how he's a deputy, he was in his 30's, and he was having sex with a 13 year old girl. I was the only boy there, but there were a few older men. This was a chunk of the good ol' boys club of the town. I think there were a couple of cops besides the one deputy, and a judge or the mayor or some kind of big local VIP.
I kept trying to get my friend to leave, but she wanted to stay. Turns out under age drinking with cops seems like a great deal if you're a kid because you know you won't get busted. I left alone, creeped the fuck out.
I was told later that I wasn't invited and that I couldn't talk about it, I've always been good at compartmentalization, so I never did.
Decades later it occurred to me what was actually happening. I'm pretty sure that cop was giving meth he'd seized as evidence to these kids. This wasn't some one-off thing. It was regular. Who knows how many decades it went on after I left, or how many decades it had been going on before I found out. I knew this type of thing had happened at least a few times before because that's how that 13 year old girl and that 32 year old cop had hooked up in the first place.
Hearing about Epstein's MO, targeting these teenage girls from fucked up backgrounds, it's right there for me. I wouldn't be surprised if they were involved in sex trafficking of minors or some shit like that... but who would you call if you found out? Half the sheriff's department was there and the other half would cover for them.
You live in the city and shit like that doesn't happen, or at least you don't think it happens. But rural poor folks have this intuition about power and abuse. It's right there and you know it.
Trump is such a familiar character for me, because he's exactly that small town mayor or sheriff. He'll will talk about being tough on crime and hunting down pedophiles, while hanging out at a party that exists so people can fuck 8th graders.
The problem with the whole thing is that rural folks will never break the cognitive dissonance between "kill the peods" and "back the blue." They'll never go kill those cops. No, the pedos must be somewhere else. It must be the elites. It must be outsiders. It can't be the cops and good ol' boys everyone respects. It can't be the mayor who rigs the election to win every time. It can't be the "good upstanding" sheriff. Nah, it's the Clintons.
To be fair, it's probably also the Clitnons, a bunch of other politicians, billionaires, etc. Epstein was exactly who everyone thought he was, and he didn't get away with it for so long without a whole lot of really powerful help.
There are still powerful people who got away with involvement with #Epstein. #Trump is one of them, but I don't really believe that he's the only one.
#USPol #ACAB
Global lattice models of a rotating planet -- view on shake, rattle and roll
William E. Barnfield, Alessio Kandiah, Vladimir Frid, Igor B. Movchan, Alexander B. Movchan
https://arxiv.org/abs/2508.16630
Democrats have an age problem
House Republicans managed to pass their draconian budget bill,
-- which promises to make massive cuts to Medicaid, Medicare, and food assistance,
-- early Thursday morning by a narrow one-vote margin
💥that was only possible due the deaths of three Democrats in this current Congress.
The latest Democrat to pass away was 75-year-old Representative Gerry Connolly of Virginia, who died on Wednesday after battling esophageal cancer.
Experimental Evidence for the Propagation and Preservation of Machine Discoveries in Human Populations
Levin Brinkmann, Thomas F. Eisenmann, Anne-Marie Nussberger, Maxim Derex, Sara Bonati, Valerii Chirkov, Iyad Rahwan
https://arxiv.org/abs/2506.17741
Minimal Banach-Tarski Decompositions
Cesare Straffelini, Kilian Zambanini
https://arxiv.org/abs/2507.17517 https://arxiv.org/pdf/2507.17517
A predictor-corrector scheme for approximating signed distances using finite element methods
Amina El Bachari, Johann Rannou, Vladislav A. Yastrebov, Pierre Kerfriden, Susanne Claus
https://arxiv.org/abs/2506.17830
Trion polaron problem in bulk and two-dimensional materials
V. Shahnazaryan, A. Kudlis, K. Varga, I. A. Shelykh, I. V. Tokatly
https://arxiv.org/abs/2508.14756 https://
Robotic Manipulation of a Rotating Chain with Bottom End Fixed
Qi Jing Chen, Shilin Shan, Quang-Cuong Pham
https://arxiv.org/abs/2506.18355 https://…
Full non-LTE multi-level radiative transfer I. An atom with three bound infinitely sharp levels
Tristan Lagache, Fr\'ed\'eric Paletou, Malali Sampoorna
https://arxiv.org/abs/2506.15361
Triadic First-Order Logic Queries in Temporal Networks
Omkar Bhalerao, Yunjie Pan, C. Seshadhri, Nishil Talati
https://arxiv.org/abs/2507.17215 https://
Going Beyond Twin-width? CSPs with Unbounded Domain and Few Variables
Peter Jonsson, Victor Lagerkvist, Jorke M. de Vlas, Magnus Wahlstr\"om
https://arxiv.org/abs/2508.16389
Understanding Distribution Structure on Calibrated Recommendation Systems
Diego Correa da Silva, Denis Robson Dantas Boaventura, Mayki dos Santos Oliveira, Eduardo Ferreira da Silva, Joel Machado Pires, Frederico Ara\'ujo Dur\~ao
https://arxiv.org/abs/2508.13568
Fermion mass ratios from the exceptional Jordan algebra
Tejinder P. Singh
https://arxiv.org/abs/2508.10131 https://arxiv.org/pdf/2508.10131
Supervised Extraction of the Thermal Sunyaev$-$Zel'dovich Effect with a Three-Dimensional Convolutional Neural Network
Cameron T. Pratt, Zhijie Qu, Joel N. Bregman
https://arxiv.org/abs/2507.13400
Recognizing Penny and Marble Graphs is Hard for Existential Theory of the Reals
Anna Lubiw, Marcus Schaefer
https://arxiv.org/abs/2508.10136 https://arxiv.…
Probing EFX via PMMS: (Non-)Existence Results in Discrete Fair Division
Jaros{\l}aw Byrka, Franciszek Malinka, Tomasz Ponitka
https://arxiv.org/abs/2507.14957
On Reconstructing Training Data From Bayesian Posteriors and Trained Models
George Wynne
https://arxiv.org/abs/2507.18372 https://arxiv.org/pdf/2507.18372
Depression as a disorder of distributional coding
Matthew Botvinick, Zeb Kurth-Nelson, Timothy Muller, Will Dabney
https://arxiv.org/abs/2507.16598 https:/…
Three-Dimensional Numerical Simulations of Magnetar Crust Quakes
Yuanhong Qu, Ashley Bransgrove
https://arxiv.org/abs/2508.12567 https://arxiv.org/pdf/2508…
The Hexablock: a domain associated with the $\mu$-synthesis in $M_2(\mathbb C)$
Indranil Biswas, Sourav Pal, Nitin Tomar
https://arxiv.org/abs/2506.15149 h…
On the $PGL_2(q)$-orbits of lines of $PG(3,q)$ and binary quartic forms in characteristic three
Krishna Kaipa, Puspendu Pradhan
https://arxiv.org/abs/2508.11229 https://
About three-quarters of fungi are “dark taxa” – species known only by their DNA sequence, as physical specimens have not been found.
https://www.theguardian.com/environment/2025/aug/15/biology-mycorrhizal-fungi-map-restoring-world-fore…
Exact Renormalization Relation and Binding Energies for Three Identical Bosons
Langxuan Chen, Pengfei Zhang
https://arxiv.org/abs/2506.12531 https://
Series A, Episode 08 - Duel
JENNA: Deactivating.
BLAKE: Now, this is the pursuit ship that's done all the firing. That'll be low on power now, so it won't be a problem.
CALLY: So we can ignore it.
https://blake.torpidity.net/m/108/154 B7B3
Manifold Optics
Hongming Shen, Wen Xiao, Fei Fang Chuang, Huanyang Chen
https://arxiv.org/abs/2507.17437 https://arxiv.org/pdf/2507.17437
Sharp Boundary Growth Rate Estimate of the Singular Equation $-\Delta u=u^{-\gamma}$ in a Critical Cone
Leyun Wu, Chilin Zhang
https://arxiv.org/abs/2507.16319
The SOS Rank of Biquadratic Forms
Liqun Qi, Chunfeng Cui, Yi Xu
https://arxiv.org/abs/2507.16399 https://arxiv.org/pdf/2507.16399
Low-order finite element complex with application to a fourth-order elliptic singular perturbation problem
Xuewei Cui, Xuehai Huang
https://arxiv.org/abs/2506.20240
Quantum thermodynamics in a rotating BTZ black hole spacetime
Wenjing Chen, Yixuan Ma, Si-Wei Han, Zihao Wang, Jun Feng
https://arxiv.org/abs/2507.16787 ht…
Probably a good day 🥵 to remind of our CoolWalks study: https://www.nature.com/articles/s41598-025-97200-2
- Above all, stop burning fossil fuels
- Buildings (and trees) cast a lot of shade in cities. We systematically quantify the benefits for 🚶🚴
- Make shade plans, b…
Natura Urbana VII 🏡
城市自然 VII 🏡
📷 Nikon FE
🎞️Ilford FP4 Plus, expired 1995
buy me ☕️ ?/请我喝杯☕️?
#filmphotography
Integrating Uncertainties for Koopman-Based Stabilization
Yicheng Lin, Bingxian Wu, Nan Bai, Zhiyong Sun, Yunxiao Ren, Chuanze Chen, Zhisheng Duan
https://arxiv.org/abs/2508.11533
The Word Problem for Products of Symmetric Groups
Hans U. Simon
https://arxiv.org/abs/2506.13655 https://arxiv.org/pdf/2506.13655
MOFCO: Mobility- and Migration-Aware Task Offloading in Three-Layer Fog Computing Environments
Soheil Mahdizadeh, Elyas Oustad, Mohsen Ansari
https://arxiv.org/abs/2507.12028
Consecutive collision orbits in the restricted three-body problem above the first critical energy value
Jungsoo Kang, Kevin Ruck
https://arxiv.org/abs/2506.01735
Two out of three night trains on this trip has had our sleeper carriage cancelled or replaced last minute (causing 1hr delay).. I wonder if there's a bed bug problem in Europe at the moment
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
Mixing of Gaussian Solute Plumes
Daniel Lester
https://arxiv.org/abs/2506.20387 https://arxiv.org/pdf/2506.20387
Partially rigid motions in the planar three-body problem
Richard Moeckel
https://arxiv.org/abs/2506.13570 https://arxiv.org/pdf/2506.…
Non-invertible Symmetry as a Solution to the Strong CP Problem in a GUT-inspired Standard Model
Tatsuo Kobayashi, Hajime Otsuka, Tsutomu T. Yanagida
https://arxiv.org/abs/2508.12287
Global existence and optimal time-decay rates of the compressible Navier-Stokes equations with density-dependent viscosities
Jie Fan, Xiangdi Huang, Anchun Ni
https://arxiv.org/abs/2507.16436
Simpler and Faster Contiguous Art Gallery
Sarita de Berg, Jacobus Conradi, Ivor van der Hoog, Frank Staals
https://arxiv.org/abs/2508.09734 https://arxiv.o…
Conservative fusion of unbiased partial state estimates: CI is optimal
Jochen Trumpf, Behzad Zamani, Chris Manzie
https://arxiv.org/abs/2507.16216 https://…
Nonexistence of Consecutive Powerful Triplets Around Cubes with Prime-Square Factors
Jialai She
https://arxiv.org/abs/2507.16828 https://
Data assimilation using a global Girsanov nudged particle filter
Maneesh Kumar Singh, Joshua Hope-Collins, Colin J. Cotter, Dan Crisan
https://arxiv.org/abs/2507.17685 https://
Almost and Approximate EFX for Few Types of Agents
Vishwa Prakash HV, Ruta Mehta, Prajakta Nimbhorkar
https://arxiv.org/abs/2508.15380 https://arxiv.org/pd…
A Novel Feedforward Youla Parameterization Method for Avoiding Local Minima in Stereo Image Based Visual Servoing Control
Rongfei Li, Francis Assadian
https://arxiv.org/abs/2506.10252
Global well-posedness of the inviscid resistive isentropic compressible MHD system
Jinkai Li, Liening Qiao
https://arxiv.org/abs/2508.13627 https://arxiv.o…
Gordian split links in the Gehring ropelength problem
Friedrich Bauermeister
https://arxiv.org/abs/2506.04644 https://arxiv.org/pdf/2…
This https://arxiv.org/abs/2505.09708 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…
Variational Construction of Homoclinic and Heteroclinic Orbits in the Planar Sitnikov Problem
Yuika Kajihara, Mitsuru Shibayama, Guowei Yu
https://arxiv.org/abs/2508.08051 https…
Constructing characteristic initial data for three dimensional compressible Euler equations
Yuxuan Wang, Sifan Yu, Pin Yu
https://arxiv.org/abs/2508.15199 https://
Deciding the Value of Two-Clock Almost Non-Zeno Weighted Timed Games
Isa Vialard
https://arxiv.org/abs/2508.00014 https://arxiv.org/pdf/2508.00014
Beyond Robustness: Learning Unknown Dynamic Load Adaptation for Quadruped Locomotion on Rough Terrain
Leixin Chang, Yuxuan Nai, Hua Chen, Liangjing Yang
https://arxiv.org/abs/2507.07825
This https://arxiv.org/abs/2501.02529 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…
An explicit computational approach for a three-dimensional system of nonlinear elastodynamic sine-Gordon problem
Eric Ngondiep
https://arxiv.org/abs/2506.14807
Data-Driven Stabilisation of Unstable Periodic Orbits of the Three-Body Problem
Owen M. Brook, Jason J. Bramburger, Davide Amato, Urban Fasel
https://arxiv.org/abs/2507.08630
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initial toot: https://mastoxiv.page/@arXiv_mat…
Three-dimensional Navier-Stokes-Biot coupling via a moving reticular plate interface: existence of weak solutions
Felix Brandt, Sun\v{c}ica \v{C}ani\'c, Boris Muha
https://arxiv.org/abs/2508.14310 …
Additive Problems with Primes from a Thin Bohr Set
Sarvagya Jain
https://arxiv.org/abs/2508.12139 https://arxiv.org/pdf/2508.12139
A time-adaptive optimization approach for reconstructing immune response in a mathematical model of acute HIV infection using clinical data
L. Beilina, I. Gainova, G. Bocharov
https://arxiv.org/abs/2508.13123
Nonlinear stochastic trajectory optimization
Thomas Caleb, Roberto Armellin, St\'ephanie Lizy-Destrez
https://arxiv.org/abs/2508.13677 https://arxiv.or…
A Stokes-Brinkman-type formulation for the eigenvalue problem in porous media
Felipe Lepe, Gonzalo Rivera, Jesus Vellojin
https://arxiv.org/abs/2507.08226 …
Global uniform regularity for the 3D incompressible MHD equations with slip boundary condition near a background magnetic field
Jincheng Gao, Lianyun Peng, Jiahong Wu, Zheng-an Yao
https://arxiv.org/abs/2508.09609
Comparison of three random field sampling methods for high-resolution Bayesian inversion with application to a plane stress problem
Pieter Vanmechelen, Geert Lombaert, Giovanni Samaey
https://arxiv.org/abs/2508.12876
The Riemann problem for three-phase foam flow in porous media
Luis Fernando Lozano, Grigori Chapiro, Dan Marchesin
https://arxiv.org/abs/2506.08152 https:/…
Weighted and unweighted enrichment strategies for solving the Poisson problem with Dirichlet boundary conditions
Francesco Dell'Accio, Luca Desiderio, Allal Guessab, Federico Nudo
https://arxiv.org/abs/2508.07238
Three bound states with prescribed angular momentum to the cubic-quintic NLS equations in $\mathbb{R}^{3}$
Shuai Yao, Juntao Sun
https://arxiv.org/abs/2507.04057
Structural stability of three dimensional steady Prandtl equation
Weiming Shen, Yue Wang, Tong Yang
https://arxiv.org/abs/2506.04578 https://
On the uniqueness of strong solution to the nonhomogeneous incompressible Navier-Stokes-Cahn-Hilliard system
Lingxin Jiang, Jiahong Wu, Fuyi Xu
https://arxiv.org/abs/2508.09761 …
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