Tootfinder

I am super happy to see the Chaos and open source communities coming together.
About 10 years ago, in my perception, that wasn't yet the case; there was little overlap.
It is similarly true for the demoscene.
Three really awesome communities that I now consider branches of one. 🧡

Decoded Quantum Interferometry Requires Structure
Eric R. Anschuetz, David Gamarnik, Jonathan Z. Lu
https://arxiv.org/abs/2509.14509 https://arxiv.org/pdf/…

Decoded Quantum Interferometry Requires Structure
We study the performance of Decoded Quantum Interferometry (DQI) on typical instances of MAX-$k$-XOR-SAT when the transpose of the constraint matrix is drawn from a standard ensemble of LDPC parity check matrices. We prove that if the decoding step of DQI corrects up to the folklore efficient decoding threshold for LDPC codes, then DQI is obstructed by a topological feature of the near-optimal space of solutions known as the overlap gap property (OGP). As the OGP is widely conjectured to exactl…

This sentiment expressed by @… below and the aspect of slowing down is also very much part of my own reasoning for getting back into analog print making. The other large part is the conceptual overlap with (and my love of) process-based art in general. It was exactly that what has drawn me to generative/algorithmic/procedural/kinetic approaches/concepts for most of my l…

Christopher Cookson (@figwit@pixelfed.nz)
Another hand coloured #cyanotype, this time of kōwhai flowers. I'm not sure whether this counts as #fineart or #adultcolouring but it is definitely a unique reproduction of one of my photos. What really draws me to this #altprocess for #photography reproduction is that it takes time, and even though I can produce multiple prints from the same negative, each one will be visibly unique. In an age where billions of photos are taken but most will never leave a digital device, slowing down and impo…

my therapist let me push therapy up by a couple hours so it wouldn't overlap with the Celtic match and she's extremely real for that thank u taliesha

Rate doubly robust estimation for weighted average treatment effects
Yiming Wang, Yi Liu, Shu Yang
https://arxiv.org/abs/2509.14502 https://arxiv.org/pdf/2…

Rate doubly robust estimation for weighted average treatment effects
The weighted average treatment effect (WATE) defines a versatile class of causal estimands for populations characterized by propensity score weights, including the average treatment effect (ATE), treatment effect on the treated (ATT), on controls (ATC), and for the overlap population (ATO). WATE has broad applicability in social and medical research, as many datasets from these fields align with its framework. However, the literature lacks a systematic investigation into the robustness and effi…

My colleagues just published a really nice analysis comparing the performance of (AI-enabled) Primo Research Assistant and traditional library search. TL;DR they pull up about the same proportion of relevant articles, without much overlap. Generated summary text still needs work. https://ital.corejournals.org/in…

The role of the overlap function in describing angular distributions of single-nucleon transfer reactions
M. R. Xie, J. G. Li, N. Keeley, N. Michel, W. Zuo
https://arxiv.org/abs/2510.12103

The role of the overlap function in describing angular distributions of single-nucleon transfer reactions
Single-nucleon transfer reactions offer a valuable way to probe nuclear structure. We explore the effect of directly introducing overlap functions computed using the Gamow shell model (GSM) into reaction calculations, taking the $\left< ^7\mathrm{Li} \mid \protect{^6\mathrm{He}} + p \right>$ single proton overlap as a case study. By incorporating both inter-nucleon correlations and continuum coupling, the GSM provides accurate overlap functions in both interior and asymptotic regions, together …

I have now taken #election compasses in 5 different countries and, surprise, surprise, the results rarely differ a lot.
I'm always too left and/or green for the local #SocialDemocrat.s, but only having a 74% overlap for the #Socialdemokratiet in #Denmark is even a new low for me.
Although if you look at the politics the PM #MetteFredriksen is promoting, I'm actually proud to only have such a small overlap with their values.

Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation
Valentyn Melnychuk, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel
https://arxiv.org/abs/2509.24962

Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation
The conditional average treatment effect (CATE) is widely used in personalized medicine to inform therapeutic decisions. However, state-of-the-art methods for CATE estimation (so-called meta-learners) often perform poorly in the presence of low overlap. In this work, we introduce a new approach to tackle this issue and improve the performance of existing meta-learners in the low-overlap regions. Specifically, we introduce Overlap-Adaptive Regularization (OAR) that regularizes target models prop…

Overlap-aware segmentation for topological reconstruction of obscured objects
J. Schueler, H. M. Ara\'ujo, S. N. Balashov, J. E. Borg, C. Brew, F. M. Brunbauer, C. Cazzaniga, A. Cottle, D. Edgeman, C. D. Frost, F. Garcia, D. Hunt, M. Kastriotou, P. Knights, H. Kraus, A. Lindote, M. Lisowska, D. Loomba, E. Lopez Asamar, P. A. Majewski, T. Marley, C. McCabe, L. Millins, R. Nandakumar, T. Neep, F. Neves, K. Nikolopoulos, E. Oliveri, A. Roy, T. J. Sumner, E. Tilly, W. Thompson, M. A. V…

Overlap-aware segmentation for topological reconstruction of obscured objects
The separation of overlapping objects presents a significant challenge in scientific imaging. While deep learning segmentation-regression algorithms can predict pixel-wise intensities, they typically treat all regions equally rather than prioritizing overlap regions where attribution is most ambiguous. Recent advances in instance segmentation show that weighting regions of pixel overlap in training can improve segmentation boundary predictions in regions of overlap, but this idea has not yet be…

An 8-year study of plants and pollinators in a Mediterranean community in southern Spain shows they're all flowering and active earlier as climate warms, but also a little less likely to overlap with interacting species
https://doi.org/10.1002/ecm.70046

Domain Knowledge Infused Generative Models for Drug Discovery Synthetic Data
Bing Hu, Jong-Hoon Park, Helen Chen, Young-Rae Cho, Anita Layton
https://arxiv.org/abs/2510.09837 ht…

Domain Knowledge Infused Generative Models for Drug Discovery Synthetic Data
The role of Artificial Intelligence (AI) is growing in every stage of drug development. Nevertheless, a major challenge in drug discovery AI remains: Drug pharmacokinetic (PK) and Drug-Target Interaction (DTI) datasets collected in different studies often exhibit limited overlap, creating data overlap sparsity. Thus, data curation becomes difficult, negatively impacting downstream research investigations in high-throughput screening, polypharmacy, and drug combination. We propose xImagand-DKI, …

Algorithms and Lower Bounds for the Maximum Overlap of Two Polygons Under Translation
Mikkel Abrahamsen, Sujoy Bhore, Maike Buchin, Jacobus Conradi, Ce Jin, Andr\'e Nusser, Carolin Rehs
https://arxiv.org/abs/2510.05896

Algorithms and Lower Bounds for the Maximum Overlap of Two Polygons Under Translation
A fundamental problem in shape matching and geometric similarity is computing the maximum area overlap between two polygons under translation. For general simple polygons, the best-known algorithm runs in $O((nm)^2 \log(nm))$ time [Mount, Silverman, Wu 96], where $n$ and $m$ are the complexities of the input polygons. In a recent breakthrough, Chan and Hair gave a linear-time algorithm for the special case when both polygons are convex. A key challenge in computational geometry is to design imp…

We are happy to welcome @… from RWTH in today's #nfdicore playground talking about "Bridging the Gap from Biomedical to Domain-Agnostic Semantics".
Besides others, he is demonstrating that our

Another ‘Monday Night Football’ doubleheader: Why Jets-Dolphins and Bengals-Broncos overlap https://www.nytimes.com/athletic/6665890/2025/09/29/monday-night-football-jets-dolphins-broncos-bengals-espn-abc-how-to-watch/

Boosting Multi-modal Keyphrase Prediction with Dynamic Chain-of-Thought in Vision-Language Models
Qihang Ma, Shengyu Li, Jie Tang, Dingkang Yang, Shaodong Chen, Yingyi Zhang, Chao Feng, Jiao Ran
https://arxiv.org/abs/2510.09358

Boosting Multi-modal Keyphrase Prediction with Dynamic Chain-of-Thought in Vision-Language Models
Multi-modal keyphrase prediction (MMKP) aims to advance beyond text-only methods by incorporating multiple modalities of input information to produce a set of conclusive phrases. Traditional multi-modal approaches have been proven to have significant limitations in handling the challenging absence and unseen scenarios. Additionally, we identify shortcomings in existing benchmarks that overestimate model capability due to significant overlap in training tests. In this work, we propose leveraging…

Synchrosqueezed windowed linear canonical transform: A method for mode retrieval from multicomponent signals with crossing instantaneous frequencies
Shuixin Li, Jiecheng Chen, Qingtang Jiang, Jian Lu
https://arxiv.org/abs/2510.10438

Synchrosqueezed windowed linear canonical transform: A method for mode retrieval from multicomponent signals with crossing instantaneous frequencies
In nature, signals often appear in the form of the superposition of multiple non-stationary signals. The overlap of signal components in the time-frequency domain poses a significant challenge for signal analysis. One approach to addressing this problem is to introduce an additional chirprate parameter and use the chirplet transform (CT) to elevate the two-dimensional time-frequency representation to a three-dimensional time-frequency-chirprate representation. From a certain point of view, the …

Interference-induced cavity resonances and imaginary Rabi splitting
Anael Ben-Asher, Antonio I. Fernandez-Dominguez, Johannes Feist
https://arxiv.org/abs/2510.11850 https://

Interference-induced cavity resonances and imaginary Rabi splitting
Polaritons are usually described within single-mode cavity QED models. However, nanophotonic environments typically involve several modes that spectrally overlap and interfere, giving rise to sharp dip features such as Fano profiles in the electromagnetic spectral density. Here, we identify these features as interference-induced resonances, effective electromagnetic modes with complex, non-Hermitian couplings to quantum emitters. We show that these modes hybridize with emitters to form polarito…

Day 18: Mark Oshiro
Having just learned that Oshiro is nonbinary, they're an instant include on this list. In veering extremely heavily towards YA, and losing a spot that would have gone to an absolutely legendary mangaka, anime writer, or feminist philosopher, but "Anger is A Gift" and "Each of us a Desert" are just that good, and I'm trying to steer a bit towards towards lesser-known authors I respect.
I already mentioned "Anger is a Gift" above, but to recap, it's a painful, vivid, and beautifully honest story of queer love, loss, and protest against an oppressive system. CW for racist police murder, intergenerational trauma, and police brutality against highschool students. It's a book a lot of Americans could benefit from reading right now, and while it's fiction, it's not fantasy or sci-fi. Besides the themes and politics, the writing is just really solid, with delicate characterization and tight-plotted developments that are beautifully paced.
To me "Each of us a Desert" is maybe even more beautiful, and Oshiro leaps into a magnificent fantasy world that's richly original in its desolation, dark history, lonely characters, and mythical magic. Particularly the clearly-not-just-superscription but ambiguously-important/powerful magical elements of Oshiro's worldbuilding are a rare contrast to the usual magic-is-real-here's-how-it-works fare, and pulling that off a all as they do is a testament to their craft. The prose is wonderful, probably especially so if you speak Spanish, but I enjoyed it immensely despite only knowing a few words here and there. The rich interiority of the characters, their conflicts both with each other and within themselves, and the juxtaposition of all that against origins in cult-like ignorance allows for the delivery of a lot of wisdom and complex truths.
Between these two books, so different and yet each so powerful, Oshiro has demonstrated incredible craft and also a wide range of styles, so I'm definitely excited to read more of their work and to recommend them to others.
I'm also glad to have finally put a nonbinary author on this list; the others I had in mind won't make it at this point because there's too much genre overlap, although I'll include them in my didn't-make-it list at the end. I've now got just 2 slots left and have counted up 14 more authors that absolutely need to be mentioned, so we'll see what happens.
#20AuthorsNoMen

Nice project: A computational framework for quantifying route diversification in road networks
https://arxiv.org/abs/2510.02582
Interactive: https://diverc…

Poisson Energy Formulation for Floorplanning: Variational Analysis and Mathematical Foundations
Wenxing Zhu, Hao Ai
https://arxiv.org/abs/2510.08126 https://

Poisson Energy Formulation for Floorplanning: Variational Analysis and Mathematical Foundations
Arranging many modules within a bounded domain without overlap, central to the Electronic Design Automation (EDA) of very large-scale integrated (VLSI) circuits, represents a broad class of discrete geometric optimization problems with physical constraints. This paper develops a variational and spectral framework for Poisson energy-based floorplanning and placement in physical design. We show that the Poisson energy, defined via a Neumann Poisson equation, is exactly the squared H^{-1} Sobolev …

Non-overlap Average Treatment Effect Bounds
Herbert P. Susmann, Alec McClean, Iv\'an D\'iaz
https://arxiv.org/abs/2509.20206 https://arxiv.org/pdf/…

Non-overlap Average Treatment Effect Bounds
The average treatment effect (ATE), the mean difference in potential outcomes under treatment and control, is a canonical causal effect. Overlap, which says that all subjects have non-zero probability of either treatment status, is necessary to identify and estimate the ATE. When overlap fails, the standard solution is to change the estimand, and target a trimmed effect in a subpopulation satisfying overlap; however, this no longer addresses the original goal of estimating the ATE. When the out…

Trying to bring up IPC between the CPU1 and CPU2 subsystems on STM32MP2.
Doing shared memory compute between a 32 and 64 bit processor that need to share pointers (the physical address spaces overlap and are zero extended on the 64 bit side) makes things... interesting.

Poor Kerkez. Ngumoha won't feed his overlap either.
(He's looked good so far... not having Van Dijk there to yell at him must relieve some pressure.)
#LFC

I find there is a lot of overlap between the following groups:
- people who are mission-driven and want to fight for a better future
- people who hate negotiation and think it makes them "selfish"
If you fall into those groups, please check out my negotiation tutorial. It is written specifically for YOU. 💖

How to Negotiate Without Being Pushy: The Empathy-Based Approach That Actually Works
Negotiation doesn’t have to be a battle of wills. Learn how to reach agreements through empathy, clarity, and mutual respect — even if you hate confrontation. This step-by-step guide shows you how to stay calm, connected, and confident in any negotiation.

Doubling the field of view and eliminating the replica overlap problem in common-path shearing quantitative phase imaging
Miko{\l}aj Rogalski, Piotr Zda\'nkowski, Matyas Heto, Jolanta Mierzejewska, Ma{\l}gorzata Lenarcik, Zhuoshi Li, Jiasong Sun, Chao Zuo, Maciej Trusiak
https://arxiv.org/abs/2510.01762…

Doubling the field of view and eliminating the replica overlap problem in common-path shearing quantitative phase imaging
Quantitative phase imaging (QPI) enables label-free, high-contrast visualization of transparent specimens, but its common implementation in off-axis digital holographic microscopy (DHM) requires a separate reference beam, which increases system complexity and sensitivity to noise and vibrations. Common-path shearing DHMs overcome these drawbacks by eliminating the reference arm, yet they suffer from sheared object beam (replica) overlap, as both interfering sheared beams traverse the sample and…

Congestion bounds via Laplacian eigenvalues and their application to tensor networks with arbitrary geometry
Sayan Mukherjee, Shinichiro Akiyama
https://arxiv.org/abs/2510.02725

Congestion bounds via Laplacian eigenvalues and their application to tensor networks with arbitrary geometry
Embedding the vertices of arbitrary graphs into trees while minimizing some measure of overlap is an important problem with applications in computer science and physics. In this work, we consider the problem of bijectively embedding the vertices of an $n$-vertex graph $G$ into the leaves of an $n$-leaf rooted binary tree $\mathcal{B}$. The congestion of such an embedding is given by the largest size of the cut induced by the two components obtained by deleting any vertex of $\mathcal{B}$. The c…

"‘Leaving the world’s poorest behind’: Nearly 900 million poor people face climate shocks, says UN"
#UN #UnitedNations #Climate

Climate shocks threaten 900 million poor people worldwide: UN report
More than 300 million people live in regions where three or four climate hazards overlap.

Crosslisted article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[3/3]:
- Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation
Valentyn Melnychuk, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel

Estimating Treatment Effects Under Bounded Heterogeneity
Soonwoo Kwon, Liyang Sun
https://arxiv.org/abs/2510.05454 https://arxiv.org/pdf/2510.05454

Estimating Treatment Effects Under Bounded Heterogeneity
Researchers often use specifications that correctly estimate the average treatment effect under the assumption of constant effects. When treatment effects are heterogeneous, however, such specifications generally fail to recover this average effect. Augmenting these specifications with interaction terms between demeaned covariates and treatment eliminates this bias, but often leads to imprecise estimates and becomes infeasible under limited overlap. We propose a generalized ridge regression est…

BloomAPR: A Bloom's Taxonomy-based Framework for Assessing the Capabilities of LLM-Powered APR Solutions
Yinghang Ma (Jack), Jiho Shin (Jack), Leuson Da Silva (Jack), Zhen Ming (Jack), Jiang, Song Wang, Foutse Khomh, Shin Hwei Tan
https://arxiv.org/abs/2509.25465

BloomAPR: A Bloom's Taxonomy-based Framework for Assessing the Capabilities of LLM-Powered APR Solutions
Recent advances in large language models (LLMs) have accelerated the development of AI-driven automated program repair (APR) solutions. However, these solutions are typically evaluated using static benchmarks such as Defects4J and SWE-bench, which suffer from two key limitations: (1) the risk of data contamination, potentially inflating evaluation results due to overlap with LLM training data, and (2) limited ability to assess the APR capabilities in dynamic and diverse contexts. In this paper,…

False Friends Are Not Foes: Investigating Vocabulary Overlap in Multilingual Language Models
Julie Kallini, Dan Jurafsky, Christopher Potts, Martijn Bartelds
https://arxiv.org/abs/2509.18750

UniDex: Rethinking Search Inverted Indexing with Unified Semantic Modeling
Zan Li, Jiahui Chen, Yuan Chai, Xiaoze Jiang, Xiaohua Qi, Zhiheng Qin, Runbin Zhou, Shun Zuo, Guangchao Hao, Kefeng Wang, Jingshan Lv, Yupeng Huang, Xiao Liang, Han Li
https://arxiv.org/abs/2509.24632

UniDex: Rethinking Search Inverted Indexing with Unified Semantic Modeling
Inverted indexing has traditionally been a cornerstone of modern search systems, leveraging exact term matches to determine relevance between queries and documents. However, this term-based approach often emphasizes surface-level token overlap, limiting the system's generalization capabilities and retrieval effectiveness. To address these challenges, we propose UniDex, a novel model-based method that employs unified semantic modeling to revolutionize inverted indexing. UniDex replaces complex m…

Non-Hermitian many-body localization in asymmetric chains with long-range interaction
Wen Wang, Han-Ze Li, Jian-Xin Zhong
https://arxiv.org/abs/2510.08277 https://

Non-Hermitian many-body localization in asymmetric chains with long-range interaction
Understanding the relationship between many-body localization and spectra in non-Hermitian many-body systems is crucial. In a one-dimensional clean, long-range interaction-induced non-Hermitian many-body localization system, we have discovered the coexistence of static and dynamic spectral real-complex phase transitions, along with many-body ergodic-localized phase transitions. The phase diagrams of these two types of transitions show similar non-monotonic boundary trends but do not overlap, hi…

Eigenvector overlaps of sample covariance matrices with intersecting time periods
Volodymyr Riabov, Konstantin Tikhonov, Jean-Philippe Bouchaud
https://arxiv.org/abs/2509.25076 …

Eigenvector overlaps of sample covariance matrices with intersecting time periods
We compute exactly the overlap between the eigenvectors of two large empirical covariance ma- trices computed over intersecting time intervals, generalizing the results obtained previously for non-intersecting intervals. Our method relies on a particular form of Girko linearisation and ex- tended local laws. We check our results numerically and apply them to financial data.

Dynamics of bright solitons in spin-orbit coupled Bose-Einstein condensates under the influence of optical and Rabi-coupling lattices
Sumaita Sultana, Sk Siddik, Golam Ali Sekh
https://arxiv.org/abs/2509.16637

Dynamics of bright solitons in spin-orbit coupled Bose-Einstein condensates under the influence of optical and Rabi-coupling lattices
We consider coupled matter-wave bright solitons in spatial coherence spin-orbit coupled Bose-Einstein condensates in optical and Rabi-coupling lattice potentials and find an effective potential for separation of coupled matter-wave solitons. We show that the Rabi lattice significantly affects the potential near the region of overlap between the solitons. We study the effects of Rabi lattice on the dynamics of solitons for different initial overlap and that the dynamics is controlled by the inte…

Euclid: Discovery of bright $z\simeq7$ Lyman-break galaxies in UltraVISTA and Euclid COSMOS
R. G. Varadaraj, R. A. A. Bowler, M. J. Jarvis, J. R. Weaver, E. Ba\~nados, P. Holloway, K. I. Caputi, S. M. Wilkins, D. Yang, B. Milvang-Jensen, L. Gabarra, P. A. Oesch, A. Amara, S. Andreon, N. Auricchio, C. Baccigalupi, M. Baldi, S. Bardelli, A. Biviano, E. Branchini, M. Brescia, S. Camera, G. Ca\~nas-Herrera, V. Capobianco, C. Carbone, J. Carretero, M. Castellano, G. Castignani, S. Cavuoti, …

Euclid: Discovery of bright $z\simeq7$ Lyman-break galaxies in UltraVISTA and Euclid COSMOS
We present a search for $z\simeq7$ Lyman-break galaxies using the $1.72 \, \rm{deg}^2$ near-infrared UltraVISTA survey in the COSMOS field, reaching $5\,σ$ depths in $Y$ of 26.2. We incorporate deep optical and Spitzer imaging for a full spectral energy distribution (SED) fitting analysis. We find 289 candidate galaxies at $6.5\leq z \leq 7.5$ covering $-22.6 \leq M_{\rm UV} \leq -20.2$, faint enough to overlap with Hubble Space Telescope studies. We conduct a separate selection by including c…

Node Classification via Simplicial Interaction with Augmented Maximal Clique Selection
Eunho Koo, Tongseok Lim
https://arxiv.org/abs/2509.23568 https://arx…

Node Classification via Simplicial Interaction with Augmented Maximal Clique Selection
Considering higher-order interactions allows for a more comprehensive understanding of network structures beyond simple pairwise connections. While leveraging all cliques in a network to handle higher-order interactions is intuitive, it often leads to computational inefficiencies due to overlapping information between higher-order and lower-order cliques. To address this issue, we propose an augmented maximal clique strategy. Although using only maximal cliques can reduce unnecessary overlap an…

Day 29: Leanne Betasamosake Simpson
I've been sitting on Simpson for a while because there's some overlap in her writing with Robin Wall Kimmerer, and I've had a lot of different genres/styles/subjects/media I've wanted to post at least one author from. But I've now hit repeats on at least YA romance and manga, and Simpson's writing is actually quite different from Kimmerer's in a lot of ways. While Kimmerer is a biologist by training and literally braids that knowledge together with her knowledge of Potawatomi cosmology and ethics, Simpson is an Anishinaabe philosopher and anarchist, and her position as a scholar of Indigenous philosophy adds a different depth to her work: she talks in more depth about knowledge relationships and her connections with specific elders, and she has more citations to other Indigenous theorists, which is the one criticism I've ever seen of Kimmerer's work. Rather than being Indigenous and a scientist, she's Indigenous and a scholar of indigenous studies.
I've only read "Theory of Water" by Simpson, but it was excellent, and especially inspiring to read as an anarchist. Simpson's explicit politics are another difference from Kimmerer's work, which is more implicitly than explicitly political. This allows Simpson to draw extremely interesting connections to other anarchist theorists and movements. "Theory of Water" is probably a bit less accessible than "Braiding Sweetgrass," but it's richer from a theory perspective as a result.
In any case, Simpson is a magnificent writer, sharing personal insights and stories along with (and inseparable from) her theoretical ideas.
#30AuthorsNoMen

VGGT-X: When VGGT Meets Dense Novel View Synthesis
Yang Liu, Chuanchen Luo, Zimo Tang, Junran Peng, Zhaoxiang Zhang
https://arxiv.org/abs/2509.25191 https://

VGGT-X: When VGGT Meets Dense Novel View Synthesis
We study the problem of applying 3D Foundation Models (3DFMs) to dense Novel View Synthesis (NVS). Despite significant progress in Novel View Synthesis powered by NeRF and 3DGS, current approaches remain reliant on accurate 3D attributes (e.g., camera poses and point clouds) acquired from Structure-from-Motion (SfM), which is often slow and fragile in low-texture or low-overlap captures. Recent 3DFMs showcase orders of magnitude speedup over the traditional pipeline and great potential for onli…

STRAPSim: A Portfolio Similarity Metric for ETF Alignment and Portfolio Trades
Mingshu Li, Dhruv Desai, Jerinsh Jeyapaulraj, Philip Sommer, Riya Jain, Peter Chu, Dhagash Mehta
https://arxiv.org/abs/2509.24151

STRAPSim: A Portfolio Similarity Metric for ETF Alignment and Portfolio Trades
Accurately measuring portfolio similarity is critical for a wide range of financial applications, including Exchange-traded Fund (ETF) recommendation, portfolio trading, and risk alignment. Existing similarity measures often rely on exact asset overlap or static distance metrics, which fail to capture similarities among the constituents (e.g., securities within the portfolio) as well as nuanced relationships between partially overlapping portfolios with heterogeneous weights. We introduce STRAP…

Light-SQ: Structure-aware Shape Abstraction with Superquadrics for Generated Meshes
Yuhan Wang, Weikai Chen, Zeyu Hu, Runze Zhang, Yingda Yin, Ruoyu Wu, Keyang Luo, Shengju Qian, Yiyan Ma, Hongyi Li, Yuan Gao, Yuhuan Zhou, Hao Luo, Wan Wang, Xiaobin Shen, Zhaowei Li, Kuixin Zhu, Chuanlang Hong, Yueyue Wang, Lijie Feng, Xin Wang, Chen Change Loy
https://

Light-SQ: Structure-aware Shape Abstraction with Superquadrics for Generated Meshes
In user-generated-content (UGC) applications, non-expert users often rely on image-to-3D generative models to create 3D assets. In this context, primitive-based shape abstraction offers a promising solution for UGC scenarios by compressing high-resolution meshes into compact, editable representations. Towards this end, effective shape abstraction must therefore be structure-aware, characterized by low overlap between primitives, part-aware alignment, and primitive compactness. We present Light-…

FedOC: Multi-Server FL with Overlapping Client Relays in Wireless Edge Networks
Yun Ji, Zeyu Chen, Xiaoxiong Zhong, Yanan Ma, Sheng Zhang, Yuguang Fang
https://arxiv.org/abs/2509.19398

FedOC: Multi-Server FL with Overlapping Client Relays in Wireless Edge Networks
Multi-server Federated Learning (FL) has emerged as a promising solution to mitigate communication bottlenecks of single-server FL. We focus on a typical multi-server FL architecture, where the regions covered by different edge servers (ESs) may overlap. A key observation of this architecture is that clients located in the overlapping areas can access edge models from multiple ESs. Building on this insight, we propose FedOC (Federated learning with Overlapping Clients), a novel framework design…

The Guided Local Hamiltonian Problem for Stoquastic Hamiltonians
Gabriel Waite
https://arxiv.org/abs/2509.25829 https://arxiv.org/pdf/2509.25829

The Guided Local Hamiltonian Problem for Stoquastic Hamiltonians
We show that the Guided Local Hamiltonian problem for stoquastic Hamiltonians is (promise) BPP-hard. The Guided Local Hamiltonian problem is a variant of the Local Hamiltonian problem that incorporates an additional input known as a guiding state, which is promised to overlap with the ground state. For a range of local Hamiltonian families, this problem is (promise) BQP-hard, though for stoquastic Hamiltonians, the complexity was previously unknown. Our results are achieved by first reducing fr…

GRPO is Secretly a Process Reward Model
Michael Sullivan
https://arxiv.org/abs/2509.21154 https://arxiv.org/pdf/2509.21154…

GRPO is Secretly a Process Reward Model
We prove theoretically that the GRPO RL algorithm induces a non-trivial process reward model (PRM), under certain assumptions regarding within-group overlap of token sequences across completions. We then show empirically that these assumptions are met under real-world conditions: GRPO does in fact induce a non-trivial PRM. Leveraging the framework of GRPO-as-a-PRM, we identify a flaw in the GRPO objective: non-uniformly distributed process steps hinder both exploration and exploitation (under d…

Studying $\textrm{QED}_3$ with radial quantization on the lattice -- I. Free limit
Peter A. Boyle, Richard C. Brower, George T. Fleming, Emanuel Katz, Nobuyuki Matsumoto, Rohan Misra
https://arxiv.org/abs/2510.03085

Studying $\textrm{QED}_3$ with radial quantization on the lattice -- I. Free limit
To investigate the three-dimensional quantum electrodynamics in the radial quantization on the lattice, the lattice action is constructed and the free limit is studied on $S^2 \times \mathbb{R}$. With the overlap fermion, it is numerically verified that the important symmetries of the theory can be realized on the lattice. The analytic correlators are derived and compared to the lattice results, which agree including the overall normalization. The $O(a^2)$-scaling is confirmed toward the analyt…

MemLens: Uncovering Memorization in LLMs with Activation Trajectories
Zirui He, Haiyan Zhao, Ali Payani, Mengnan du
https://arxiv.org/abs/2509.20909 https://

MemLens: Uncovering Memorization in LLMs with Activation Trajectories
Large language models (LLMs) are commonly evaluated on challenging benchmarks such as AIME and Math500, which are susceptible to contamination and risk of being memorized. Existing detection methods, which primarily rely on surface-level lexical overlap and perplexity, demonstrate low generalization and degrade significantly when encountering implicitly contaminated data. In this paper, we propose MemLens (An Activation Lens for Memorization Detection) to detect memorization by analyzing the pr…

Machine-Learning Potentials for Efficient Simulations of Anisotropic Colloids
B. Rusen Argun, Antonia Statt
https://arxiv.org/abs/2509.15504 https://arxiv.…

Machine-Learning Potentials for Efficient Simulations of Anisotropic Colloids
Simulating interactions between non-spherical colloidal particles is computationally challenging due to the complex dependency of forces and energies on their geometry. We introduce and evaluate both descriptor-based and end-to-end models for predicting interaction energies and forces. Then, we compare various descriptors coupled with different regression models, like Behler-Parinello descriptors, Smooth Overlap of Atomic Positions, and neuroevolution potential, as well as multiple end-to-end m…

Closed-Form Least-Squares Design of Fast-Convolution Based Variable-Bandwidth FIR Filters
Oksana Moryakova, H{\aa}kan Johansson
https://arxiv.org/abs/2509.25931 https://

Closed-Form Least-Squares Design of Fast-Convolution Based Variable-Bandwidth FIR Filters
This paper introduces a closed-form least-squares (LS) design approach for fast-convolution (FC) based variable-bandwidth (VBW) finite-impulse-response (FIR) filters. The proposed LS design utilizes frequency sampling and the VBW filter frequency-domain implementation using the overlap-save (OLS) method, that together offer significant savings in implementation and online bandwidth reconfiguration complexities. Since combining frequency-domain design and OLS implementation leads to a linear per…

Using AI on FPGAs for the CMS Overlap Muon Track Finder for the HL-LHC
Pelayo Leguina (on behalf of the CMS Collaboration), Santiago Folgueras (on behalf of the CMS Collaboration), Andrea Cardini (on behalf of the CMS Collaboration), Elena Aller (on behalf of the CMS Collaboration)
https://arxiv.org/abs/2509.23347

TL;DR: spending money to find the cause of autism is a eugenics project, and those resources could have been spent improving accommodations for Autistic people instead.
To preface this, I'm not Autistic but I'm neurodivergent with some overlap.
We need to be absolutely clear right now: the main purpose is *all* research into the causes of autism is eugenics: a cause is sought because non-autistic people want to *eliminate* autistic people via some kind of "cure." It should be obvious, but a "cured autistic person" who did not get a say in the decision to administer that "cure" has been subjected to non-consensual medical intervention at an extremely unethical level. Many autistic people have been exceptionally clear that they don't want to be "cured," including some people with "severe autism" such as people who are nonverbal.
When we think things like "but autism makes life so hard for some people," we're saying that the difficulties in their life are a result of their neurotype, rather than blaming the society that punished & devalues the behaviors that result from that neurotype at every turn. To the extent that an individual autistic person wants to modify their neurotype and/or otherwise use aids to modify themselves to reduce difficulties in their life, they should be free to pursue that. But we should always ask the question: "what if we changed their social or physical environment instead, so that they didn't have to change themselves?" The point is that difficulties are always the product of person x environment, and many of the difficulties we attribute to autism should instead be attributed to anti-autistic social & physical spaces, and resources spent trying to "find the cause of autism" would be *much* better spent trying to develop & promote better accommodations for autism. Or at least, that's the case if you care about the quality of life of autistic people and/or recognize their enormous contributions to society (e.g., Wikipedia could not exist in anything near its current form without autistic input). If instead you think of Autistic people as gross burdens that you'd rather be rid of, then it makes sense to investigate the causes of autism so that you can eventually find a "cure."
All of that to say: the best response to lies about the causes of autism is to ask "What is the end goal of identifying the cause?" instead of saying "That's not true, here's better info about the causes."
#autism #trump
P.S. yes, I do think about the plight of parents of autistic kids, particularly those that have huge struggles fitting into the expectations of our society. They've been put in a position where society constantly bullies and devalues their kid, and makes it mostly impossible for their kid to exist without constant parental support, which is a lot of work and which is unfair when your peers get the school system to do a massive amount of childcare. But in that situation, your kid is in an even worse position than you as the direct victim of all of that, and you have a choice: are you going to be their ally against the unfair world, or are you going to blame them and try to get them to confirm enough that you can let the school system take care of them, despite the immense pain that that will provoke? Please don't come crying for sympathy if you choose the later option (and yes, helping them be able to independently navigate society is a good thing for them, but there's a difference between helping them as their ally, at their pace, and trying to force them to conform to reduce the burden society has placed on you).

MMedFD: A Real-world Healthcare Benchmark for Multi-turn Full-Duplex Automatic Speech Recognition
Hongzhao Chen, XiaoYang Wang, Jing Lan, Hexiao Ding, Yufeng Jiang MingHui Yang, DanHui Xu, Jun Luo, Nga-Chun Ng, Gerald W. Y. Cheng, Yunlin Mao, Jung Sun Yoo
https://arxiv.org/abs/2509.19817

MMedFD: A Real-world Healthcare Benchmark for Multi-turn Full-Duplex Automatic Speech Recognition
Automatic speech recognition (ASR) in clinical dialogue demands robustness to full-duplex interaction, speaker overlap, and low-latency constraints, yet open benchmarks remain scarce. We present MMedFD, the first real-world Chinese healthcare ASR corpus designed for multi-turn, full-duplex settings. Captured from a deployed AI assistant, the dataset comprises 5,805 annotated sessions with synchronized user and mixed-channel views, RTTM/CTM timing, and role labels. We introduce a model-agnostic …

Sex-based Bias Inherent in the Dice Similarity Coefficient: A Model Independent Analysis for Multiple Anatomical Structures
Hartmut H\"antze, Myrthe Buser, Alessa Hering, Lisa C. Adams, Keno K. Bressem
https://arxiv.org/abs/2509.19778

Sex-based Bias Inherent in the Dice Similarity Coefficient: A Model Independent Analysis for Multiple Anatomical Structures
Overlap-based metrics such as the Dice Similarity Coefficient (DSC) penalize segmentation errors more heavily in smaller structures. As organ size differs by sex, this implies that a segmentation error of equal magnitude may result in lower DSCs in women due to their smaller average organ volumes compared to men. While previous work has examined sex-based differences in models or datasets, no study has yet investigated the potential bias introduced by the DSC itself. This study quantifies sex-b…

Neural Posterior Estimation with Autoregressive Tiling for Detecting Objects in Astronomical Images
Jeffrey Regier
https://arxiv.org/abs/2510.03074 https://

Neural Posterior Estimation with Autoregressive Tiling for Detecting Objects in Astronomical Images
Upcoming astronomical surveys will produce petabytes of high-resolution images of the night sky, providing information about billions of stars and galaxies. Detecting and characterizing the astronomical objects in these images is a fundamental task in astronomy -- and a challenging one, as most of these objects are faint and many visually overlap with other objects. We propose an amortized variational inference procedure to solve this instance of small-object detection. Our key innovation is a …

Magnon-photon coupling in the YIG-based disk and ring microcavities
S. S. Demirchyan, D. M. Krichevsky, V. I. Belotelov
https://arxiv.org/abs/2509.18872 https://

Further Results on Rendering Geometric Intersection Graphs Sparse by Dispersion
Nicol\'as Honorato-Droguett, Kazuhiro Kurita, Tesshu Hanaka, Hirotaka Ono, Alexander Wolff
https://arxiv.org/abs/2509.20903

Further Results on Rendering Geometric Intersection Graphs Sparse by Dispersion
Removing overlaps is a central task in domains such as scheduling, visibility, and map labelling. This task can be modelled using graphs, where overlap removals correspond to enforcing a certain sparsity constraint on the graph structure. We continue the study of the problem Geometric Graph Edit Distance, where the aim is to minimise the total cost of editing a geometric intersection graph to obtain a graph contained in a specific graph class. For us, the edit operation is the movement of objec…

Future Policy Aware Preference Learning for Mathematical Reasoning
Minjae Oh, Yunho Choi, Dongmin Choi, Yohan Jo
https://arxiv.org/abs/2509.19893 https://a…

Future Policy Aware Preference Learning for Mathematical Reasoning
Preference learning methods such as Direct Preference Optimization (DPO) have become standard for Large Language Model (LLM) post-training, yet they are often ineffective for mathematical reasoning. A key challenge is the large token overlap between preferred and dispreferred trajectories; lowering the probability of dispreferred trajectories also reduces the probability of shared useful tokens, leading to over-penalization and overall performance collapse. As a mitigation, existing algorithms …

A DECADE of dwarfs: first detection of weak lensing around spectroscopically confirmed low-mass galaxies
Chun-Hao To (DELVE Collaboration), Chihway Chang (DELVE Collaboration), Dhayaa Anbajagane (DELVE Collaboration), Risa H. Wechsler (DELVE Collaboration), Alex Drlica-Wagner (DELVE Collaboration), M. Adam\'ow (DELVE Collaboration), A. Alarcon (DELVE Collaboration), M. R. Becker (DELVE Collaboration), J. A. Carballo-Bello (DELVE Collaboration), R. Cawthon (DELVE Collaboration), N. …

A DECADE of dwarfs: first detection of weak lensing around spectroscopically confirmed low-mass galaxies
We present the first detection of weak gravitational lensing around spectroscopically confirmed dwarf galaxies, using the large overlap between DESI DR1 spectroscopic data and DECADE/DES weak lensing catalogs. A clean dwarf galaxy sample with well-defined redshift and stellar mass cuts enables excess surface mass density measurements in two stellar mass bins ($\log \rm{M}_*=[8.2, 9.2]~M_\odot$ and $\log \rm{M}_*=[9.2, 10.2]~M_\odot$), with signal-to-noise ratios of $5.6$ and $12.4$ respectively…

Specific multi-emitter identification via multi-label learning
Yuhao Chen, Boxiang He, Shilian Wang, Jing Lei
https://arxiv.org/abs/2509.22396 https://arxi…

Specific multi-emitter identification via multi-label learning
Specific emitter identification leverages hardware-induced impairments to uniquely determine a specific transmitter. However, existing approaches fail to address scenarios where signals from multiple emitters overlap. In this paper, we propose a specific multi-emitter identification (SMEI) method via multi-label learning to determine multiple transmitters. Specifically, the multi-emitter fingerprint extractor is designed to mitigate the mutual interference among overlapping signals. Then, the m…

OverLayBench: A Benchmark for Layout-to-Image Generation with Dense Overlaps
Bingnan Li, Chen-Yu Wang, Haiyang Xu, Xiang Zhang, Ethan Armand, Divyansh Srivastava, Xiaojun Shan, Zeyuan Chen, Jianwen Xie, Zhuowen Tu
https://arxiv.org/abs/2509.19282

ArtUV: Artist-style UV Unwrapping
Yuguang Chen, Xinhai Liu, Yang Li, Victor Cheung, Zhuo Chen, Dongyu Zhang, Chunchao Guo
https://arxiv.org/abs/2509.20710 https://

ArtUV: Artist-style UV Unwrapping
UV unwrapping is an essential task in computer graphics, enabling various visual editing operations in rendering pipelines. However, existing UV unwrapping methods struggle with time-consuming, fragmentation, lack of semanticity, and irregular UV islands, limiting their practical use. An artist-style UV map must not only satisfy fundamental criteria, such as overlap-free mapping and minimal distortion, but also uphold higher-level standards, including clean boundaries, efficient space utilizati…

RadEval: A framework for radiology text evaluation
Justin Xu, Xi Zhang, Javid Abderezaei, Julie Bauml, Roger Boodoo, Fatemeh Haghighi, Ali Ganjizadeh, Eric Brattain, Dave Van Veen, Zaiqiao Meng, David Eyre, Jean-Benoit Delbrouck
https://arxiv.org/abs/2509.18030

RadEval: A framework for radiology text evaluation
We introduce RadEval, a unified, open-source framework for evaluating radiology texts. RadEval consolidates a diverse range of metrics, from classic n-gram overlap (BLEU, ROUGE) and contextual measures (BERTScore) to clinical concept-based scores (F1CheXbert, F1RadGraph, RaTEScore, SRR-BERT, TemporalEntityF1) and advanced LLM-based evaluators (GREEN). We refine and standardize implementations, extend GREEN to support multiple imaging modalities with a more lightweight model, and pretrain a doma…

Dynamically tuneable helicity in twisted electromagnetic resonators
E. C. I. Paterson, J. Bourhill, M. E. Tobar, M. Goryachev
https://arxiv.org/abs/2510.01217 https://

Dynamically tuneable helicity in twisted electromagnetic resonators
We report the generation of helical electromagnetic radiation in a microwave cavity resonator, achieved by introducing mirror asymmetry, i.e., chirality, through a controlled geometric twist of the conducting boundary conditions. The emergence of electromagnetic helicity is attributed to a nonzero spatial overlap between the electric and magnetic mode eigenvectors, quantified by $\text{Im}\left[\vec{\mathbf{E}}_i(\vec{r})\cdot{\vec{\mathbf{H}}}_i^*(\vec{r})\right]$, a feature not observed in co…

Confinement-Higgs and deconfinement-Higgs transitions in four-dimensional SU(2) LGT at finite temperature
B. All\'es, O. Borisenko, A. Papa
https://arxiv.org/abs/2510.00697 …

Confinement-Higgs and deconfinement-Higgs transitions in four-dimensional SU(2) LGT at finite temperature
We re-examine by numerical simulation the phase structure of the (3+1)-dimensional SU(2) lattice gauge theory (LGT) with gauge fields coupled to Higgs fields at finite temperature. Concretely, we explore two different order parameters which are able to distinguish the three phases of the theory: (i) the Fredenhagen-Marcu operator used to discriminate between deconfinement and confinement/Higgs phases and (ii) the Greensite-Matsuyama overlap operator proposed recently to distinguish confinement …

DeepASA: An Object-Oriented One-for-All Network for Auditory Scene Analysis
Dongheon Lee, Younghoo Kwon, Jung-Woo Choi
https://arxiv.org/abs/2509.17247 https://

DeepASA: An Object-Oriented One-for-All Network for Auditory Scene Analysis
We propose DeepASA, a one-for-all model for auditory scene analysis that performs multi-input multi-output (MIMO) source separation, dereverberation, sound event detection (SED), audio classification, and direction-of-arrival estimation (DoAE) within a unified framework. DeepASA is designed for complex auditory scenes where multiple, often similar, sound sources overlap in time and move dynamically in space. To achieve robust and consistent inference across tasks, we introduce an object-oriente…

Are Neural Networks Collision Resistant?
Marco Benedetti, Andrej Bogdanov, Enrico M. Malatesta, Marc M\'ezard, Gianmarco Perrupato, Alon Rosen, Nikolaj I. Schwartzbach, Riccardo Zecchina
https://arxiv.org/abs/2509.20262

Are Neural Networks Collision Resistant?
When neural networks are trained to classify a dataset, one finds a set of weights from which the network produces a label for each data point. We study the algorithmic complexity of finding a collision in a single-layer neural net, where a collision is defined as two distinct sets of weights that assign the same labels to all data. For binary perceptrons with oscillating activation functions, we establish the emergence of an overlap gap property in the space of collisions. This is a topologica…

DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm
Xiaowei Zhu, Yubing Ren, Fang Fang, Qingfeng Tan, Shi Wang, Yanan Cao
https://arxiv.org/abs/2509.15550

DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm
The rapid advancement of large language models (LLMs) has blurred the line between AI-generated and human-written text. This progress brings societal risks such as misinformation, authorship ambiguity, and intellectual property concerns, highlighting the urgent need for reliable AI-generated text detection methods. However, recent advances in generative language modeling have resulted in significant overlap between the feature distributions of human-written and AI-generated text, blurring class…