Tootfinder

Holographic connection of f(G) gravity through Barrow and a generalized version of holographic dark fluid
Surajit Chattopadhyay
https://arxiv.org/abs/2510.07335 https://

Holographic connection of f(G) gravity through Barrow and a generalized version of holographic dark fluid
In the context of f(G) modified gravity, we address the cosmic application of the most generalized form of holographic dark energy (The European Physical Journal C, 77, (2017): 1-8) in this study, as well as a specific instance of it in the form of Barrow holographic dark energy (Physical Review D, 102(12), p.123525). Holographic dark energy and a well-known power law form of the scale factor a(t) are added to the f(G) model in order to achieve this. It is observed that a sufficient criterion f…

MRI-Based Brain Tumor Detection through an Explainable EfficientNetV2 and MLP-Mixer-Attention Architecture
Mustafa Yurdakul, \c{S}akir Ta\c{s}demir
https://arxiv.org/abs/2509.06713

MRI-Based Brain Tumor Detection through an Explainable EfficientNetV2 and MLP-Mixer-Attention Architecture
Brain tumors are serious health problems that require early diagnosis due to their high mortality rates. Diagnosing tumors by examining Magnetic Resonance Imaging (MRI) images is a process that requires expertise and is prone to error. Therefore, the need for automated diagnosis systems is increasing day by day. In this context, a robust and explainable Deep Learning (DL) model for the classification of brain tumors is proposed. In this study, a publicly available Figshare dataset containing 3,…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/6]:
- In-Context Policy Adaptation via Cross-Domain Skill Diffusion
Minjong Yoo, Woo Kyung Kim, Honguk Woo

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[3/8]:
- TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration
Yanshu Li, Jianjiang Yang, Tian Yun, Pinyuan Feng, Jinfa Huang, Ruixiang Tang

💰 Supports multiple dimensions and quantization options - binary 512d version outperforms OpenAI-v3-large while reducing vector database costs by 99.48%
🔍 Processes entire documents in single pass to generate chunk embeddings enriched with document-level context
🎯 Less sensitive to chunking strategies compared to traditional context-agnostic embedding models

Hypersurfaces of six-dimensional nearly K\"ahler manifolds
Mateo Anarella, Marie D'haene
https://arxiv.org/abs/2507.22526 https://arxiv.org/pdf/25…

Hypersurfaces of six-dimensional nearly Kähler manifolds
In the context of six-dimensional homogeneous nearly Kähler manifolds, we prove that $\mathbb S^6$ is the only ambient space admitting constant sectional curvature hypersurfaces. In order to do so, we prove first that in $\mathbb S^3\times\mathbb S^3$, $\mathbb C P^3$ and $F(\mathbb C^3)$, any hypersurface with constant sectional curvature is $η$-quasi umbilical, where $η$ is the dual one-form of the Reeb vector field. Then, we use the non-existence of such hypersurfaces in these spaces. Add…

H-Net : Hierarchical Dynamic Chunking for Tokenizer-Free Language Modelling in Morphologically-Rich Languages
Mehrdad Zakershahrak, Samira Ghodratnama
https://arxiv.org/abs/2508.05628

H-Net++: Hierarchical Dynamic Chunking for Tokenizer-Free Language Modelling in Morphologically-Rich Languages
Byte-level language models eliminate fragile tokenizers but face computational challenges in morphologically-rich languages (MRLs), where words span many bytes. We propose H-NET++, a hierarchical dynamic-chunking model that learns linguistically-informed segmentation through end-to-end training. Key innovations include: (1) a lightweight Transformer context-mixer (1.9M parameters) for cross-chunk attention, (2) a two-level latent hyper-prior for document-level consistency, (3) specialized handl…

If you think there might be an AI bubble, but don't worry, even if it pops, how bad can it be?
Here's one number: seven tech companies (NVIDIA, Microsoft, Google, Apple, Meta, Tesla, Amazon) are worth ~20 trillion, ⇓ of total US stock market
For context: total subprime mortgages in 2008 were 1.3 trillion, total US mortgage debt 10 trillion
You have a 401k or index fonds? Your money is likely tied with the AI market. If you want that, that's fine. If you're …

Open strings in type IIB AdS$_3$ flux vacua
\'Alvaro Arboleya, Adolfo Guarino, Matteo Morittu, Giuseppe Sudano
https://arxiv.org/abs/2507.18529 https://

Open strings in type IIB AdS$_3$ flux vacua
The role of open strings is investigated in the context of AdS$_{3}$ flux vacua arising from type IIB orientifold reductions. On the one hand, contrary to expectations, the perturbative stability of certain recently found non-supersymmetric AdS$_{3}$ flux vacua is shown to be robust under fluctuations of the open-string moduli. On the other hand, a wealth of new perturbatively stable AdS$_{3}$ flux vacua appears as a consequence of the non-trivial dynamics of open-string moduli. We also comment…

The Masses of Fermions in the context of the Supersymmetric $SU(3)_{C}\times SU(3)_{L}\times U(1)_{N}$ Model
M. C. Rodriguez
https://arxiv.org/abs/2508.11456 https://

The Masses of Fermions in the context of the Supersymmetric $SU(3)_{C}\times SU(3)_{L}\times U(1)_{N}$ Model
We will study in details the masses spectrum of fermions of the Minimal Supersymmetric $SU(3)_{C}\times SU(3)_{L}\times U(1)_{N}$ Model. We will consider the case in which all the usual neutral scalars fields of this model obtain vacuum expectation values, in both case when we have $R$-parity conservation, respect the invariance of the quantum number, ${\cal F}\equiv B+L$, where $B$ is the baryon number while $L$ is the total lepton number, and the oppposite ones, it means $R$-parity violation.…

Software Engineer Will Larson unpacks a lot in this July 2025 post. Key takeaway use cases of agentic AI include:
1. Using an LLM to evaluate a context window and get a result.
2. Using an LLM to suggest tools relevant to the context window, then enrich it with the tool’s response.
3. Managing flow control for tool usage.
4. Doing anything software can do to build better context windows to pass on to LLMs.
"What can agents actually do?"

Finding My Way: Influence of Different Audio Augmented Reality Navigation Cues on User Experience and Subjective Usefulness
Sina Hinzmann, Francesco Vona, Juliane Henning, Mohamed Amer, Omar Abdellatif, Tanja Kojic, Jan-Niklas Voigt-Antons
https://arxiv.org/abs/2509.03199

Finding My Way: Influence of Different Audio Augmented Reality Navigation Cues on User Experience and Subjective Usefulness
As augmented reality (AR) becomes increasingly prevalent in mobile and context-aware applications, the role of auditory cues in guiding users through physical environments is becoming critical. This study investigates the effectiveness and user experience of various categories of audio cues, including fully non-verbal sounds and speech-derived Spearcons, during outdoor navigation tasks using the Meta Quest 3 headset. Twenty participants navigated five outdoor routes using audio-only cue types: …

Combinatorics of monoidal actions in Lie-algebraic context
Volodymyr Mazorchuk, Xiaoyu Zhu
https://arxiv.org/abs/2509.01404 https://arxiv.org/pdf/2509.0140…

Combinatorics of monoidal actions in Lie-algebraic context
This paper is, essentially, a survey related to the problem of understanding the combinatorics of the action of the monoidal category of finite dimensional modules over a simple finite dimensional Lie algebra on various categories of Lie algebra modules. A special attention is payed to the Lie algebras $\mathfrak{sl}_2$ and $\mathfrak{sl}_3$. A few new general results are collected at the end.

Next highest weight and other lower $SU(3)$ irreducible representations with proxy-$SU(4)$ symmetry for nuclei with $32 \le \mbox{Z,N} \le 46$
V. K. B. Kota
https://arxiv.org/abs/2510.00800

Next highest weight and other lower $SU(3)$ irreducible representations with proxy-$SU(4)$ symmetry for nuclei with $32 \le \mbox{Z,N} \le 46$
In the applications of proxy-SU(3) model in the context of determining $(β,γ)$ values for nuclei across the periodic table, for understanding the preponderance of triaxial shapes in nuclei with $Z \ge 30$, it is seen that one needs not only the highest weight (hw) or leading $SU(3)$ irreducible representation (irrep) $(λ_H, μ_H)$ but also the lower $SU(3)$ irreps $(λ,μ)$ such that $2λ+ μ=2λ_H + μ_H-3r$ with $r=0,1$ and $2$ [Bonatsos et al., Symmetry {\bf 16}, 1625 (2024)]. These give …

A JWST/MIRI view of k Andromedae b: Refining its mass, age, and physical parameters
N. Godoy, E. Choquet, E. Serabyn, M. Malin, P. Tremblin, C. Danielski, P. O. Lagage, A. Boccaletti, B. Charnay, M. E. Ressler
https://arxiv.org/abs/2509.03624

A JWST/MIRI view of k Andromedae b: Refining its mass, age, and physical parameters
Context. kAndb is a substellar companion near the planet-brown dwarf boundary, orbiting a B9IV star at 50-100 au. Estimates of its age and mass vary, fueling a decade-long debate. Atmospheric parameters (Teff 1650-2050 K, log(g) 3.5-5.5) remain poorly constrained due to model differences and heterogeneous datasets. Aims. We refine the characterization of kAndb using mid-infrared data to capture its bolometric emission. Combined with NIR measurements, we constrain Teff, log(g), and radius to red…

Am ***I*** a needle in somebody's haystack!?
https://arxiv.org/html/2502.05167v3

Limiting the Parameter Space for Unstable eV-scale Neutrinos Using IceCube Data
Abbasi, Ackermann, Adams, Agarwalla, Aguilar, Ahlers, Alameddine, Ali, Amin, Andeen, Arg\"uelles, Ashida, Athanasiadou, Axani, Babu, Bai, Baines-Holmes, V., Barwick, Bash, Basu, Bay, Beatty, Tjus, Behrens, Beise, Bellenghi, Benkel, BenZvi, Berley, Bernardini, Besson, Blaufuss, Bloom, Blot, Bodo, Bontempo, Motzkin, Meneguolo, B\"oser, Botner, B\"ottcher, Braun, Brinson, Brisson-Tsavoussis, Bur…

Limiting the Parameter Space for Unstable eV-scale Neutrinos Using IceCube Data
This Letter extends a recent IceCube sterile neutrino search to include unstable sterile neutrinos within the context of a model termed 3+1+Decay, which expands upon the 3+1 model by introducing sterile neutrino decay to invisible particles with coupling constant $g^2$. The model is attractive since it reduces tension between oscillation experiments within the global fits and with constraints that come from cosmological observables. The analysis uses 10.7 years of up-going muon neutrino data wi…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/4]:
- Provable Low-Frequency Bias of In-Context Learning of Representations
Yongyi Yang, Hidenori Tanaka, Wei Hu
…

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting
Yuxi Hu, Jun Zhang, Kuangyi Chen, Zhe Zhang, Friedrich Fraundorfer
https://arxiv.org/abs/2508.20754

${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting
Generalizable Gaussian Splatting aims to synthesize novel views for unseen scenes without per-scene optimization. In particular, recent advancements utilize feed-forward networks to predict per-pixel Gaussian parameters, enabling high-quality synthesis from sparse input views. However, existing approaches fall short in encoding discriminative, multi-view consistent features for Gaussian predictions, which struggle to construct accurate geometry with sparse views. To address this, we propose $\m…

Studying the black widow pulsars PSR J0312$-$0921 and PSR J1627$ $3219 in the optical and X-rays
A. V. Bobakov, A. Kirichenko, S. V. Zharikov, D. A. Zyuzin, A. V. Karpova, Yu. A. Shibanov, T. Begari
https://arxiv.org/abs/2509.01488

Studying the black widow pulsars PSR J0312$-$0921 and PSR J1627$+$3219 in the optical and X-rays
Context. PSR J0312$-$0921 and PSR J1627$+$3219 are black widow pulsars with orbital periods of 2.34 and 3.98 hours. They were recently detected in the radio and $γ$-rays. Aims. Our goals are to estimate the fundamental parameters of both binary systems and their components. Methods. We performed first phase-resolved multi-band photometry of both objects with the 10.4-m Gran Telescopio Canarias and fitted the obtained light curves with a model assuming direct heating of the companion by the pul…

Suppression of Thermal Conductivity via Singlet-Dominated Scattering in TmFeO$_3$
M. L. McLanahan, D. Lederman, A. P. Ramirez
https://arxiv.org/abs/2507.12608

Suppression of Thermal Conductivity via Singlet-Dominated Scattering in TmFeO$_3$
We measured the thermal conductivity of the rare-earth orthoferrites, $R$FeO$_3$, where $R$ = Eu, Gd, Tb, Dy, Ho, Er, Tm, and Yb and see an anomalous strong suppression for TmFeO$_3$. Using a Debye thermal transport model, we demonstrate that this suppression is due to resonant scattering between phonons and the Tm$^{3+}$ $4f$ singlet crystal field levels. The implications of these results are discussed in context of thermal conductivity studies in quantum magnets.

#VoyageAI introduces voyage-context-3, a contextualized chunk #embedding #llm that captures both chunk details and full document context 🔍

Early Approaches to Adversarial Fine-Tuning for Prompt Injection Defense: A 2022 Study of GPT-3 and Contemporary Models
Gustavo Sandoval, Denys Fenchenko, Junyao Chen
https://arxiv.org/abs/2509.14271

Early Approaches to Adversarial Fine-Tuning for Prompt Injection Defense: A 2022 Study of GPT-3 and Contemporary Models
This paper documents early research conducted in 2022 on defending against prompt injection attacks in large language models, providing historical context for the evolution of this critical security domain. This research focuses on two adversarial attacks against Large Language Models (LLMs): prompt injection and goal hijacking. We examine how to construct these attacks, test them on various LLMs, and compare their effectiveness. We propose and evaluate a novel defense technique called Adversar…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[3/4]:
- LaMPE: Length-aware Multi-grained Positional Encoding for Adaptive Long-context Scaling Without T...
Sikui Zhang, Guangze Gao, Ziyun Gan, Chunfeng Yuan, Zefeng Lin, Houwen Peng, Bing Li, Weiming Hu

@… thanks, I wonder whether Ventoy is compatible with 15.0.
https://www.reddit.com/r/freebsd/comments/1nh3z73/comment/nfe4kd9/?contex…

Lunar Reference Timescale
Adrien Bourgoin (LTE, Observatoire de Paris, Universit\'e PSL, CNRS, Sorbonne Universit\'e, LNE, Paris, France), Pascale Defraigne (Royal Observatory of Belgium, Brussels, Belgium), Fr\'ed\'eric Meynadier (Time Department, BIPM, Pavillon de Breteuil, S\`evres, France)
https://arxiv.org/abs/2507.215…

Lunar Reference Timescale
Setting up a relativistic lunar reference frame is of a prime importance in the context of future exploration missions to the Moon. If the procedure for building a consistent reference frame within the framework of the general theory of relativity is well established (cf. resolutions B.3 of IAU 2000), there is still some freedom in the choice of the coordinate timescale to be adopted as reference in the cislunar region. In this paper, we review the orders of magnitude of the relativistic effect…

The Impact of Axion-Like Particles on Late Stellar Evolution From Intermediate-Mass Stars to core-collapse Supernova Progenitors
Inmacolata Dom\'inguez, Oscar Straniero, Luciano Piersanti, Maurizio Giannotti, Alessandro Mirizzi
https://arxiv.org/abs/2508.17779

The Impact of Axion-Like Particles on Late Stellar Evolution From Intermediate-Mass Stars to core-collapse Supernova Progenitors
Context. Stars with masses ranging from 3 to 11 M_\odot exhibit multiple evolutionary paths. Less massive stars in this range conclude their evolution as carbon-oxygen (CO) white dwarfs. However, those that achieve carbon ignition before the pressure by degenerate electron halts the core contraction may either form massive CONe/ONe white dwarfs, or undergo an electron-capture supernova, or photo-disintegrate neon and proceed with further thermonuclear burning, ultimately leading to the formatio…

Replaced article(s) found for nlin.CD. https://arxiv.org/list/nlin.CD/new
[1/1]:
- Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machin...
Yuanzhao Zhang, William Gilpin

GPT-OSS-20B: A Comprehensive Deployment-Centric Analysis of OpenAI's Open-Weight Mixture of Experts Model
Deepak Kumar, Divakar Yadav, Yash Patel
https://arxiv.org/abs/2508.16700

GPT-OSS-20B: A Comprehensive Deployment-Centric Analysis of OpenAI's Open-Weight Mixture of Experts Model
We present a single-GPU (H100, bf16) evaluation of GPT-OSS-20B (Mixture-of-Experts; 20.9B total, approx. 3.61B active) against dense baselines Qwen3-32B and Yi-34B across multiple dimensions. We measure true time-to-first-token (TTFT), full-decode throughput (TPOT), end-to-end latency percentiles, peak VRAM with past key values (PKV) held, and energy via a consistent nvidia-smi-based sampler. At a 2048-token context with 64-token decode, GPT-OSS-20B delivers higher decode throughput and tokens …

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[2/3]:
- Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compli...
Hu, Li, Jing, Hu, Zeng, Han, Xu, Chu, Hu, Song

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/4]:
- Dynamic Context Compression for Efficient RAG
Shuyu Guo, Zhaochun Ren
https://

Low-energy atomic scattering: s-wave relation between the interaction potential and the phase shift
Francesco Lorenzi, Luca Salansich
https://arxiv.org/abs/2507.20421 https://…

Low-energy atomic scattering: s-wave relation between the interaction potential and the phase shift
We investigate the on-shell approximation in the context of s-wave scattering for ultracold two-body collisions. Our analysis systematically covers spatial dimensions D=1,2,3 , with the aim of identifying the regimes in which the approximation remains valid when applied to commonly used model interaction potentials. Specifically, we focus on the square well and delta shell potentials, both of which admit analytical solutions for the s-wave scattering problem in all dimensions considered. By emp…

On the analytic rank of the twin prime elliptic curve $y^2=x(x-2)(x-p)$
Kirti Joshi
https://arxiv.org/abs/2508.12340 https://arxiv.org/pdf/2508.12340

On the analytic rank of the twin prime elliptic curve $y^2=x(x-2)(x-p)$
Let $p\geq 7$ and suppose $(p,p-2)$ are twin prime numbers, in [Hatley, 2009], the elliptic curve $E_p:y^2=x(x-2)(x-p)$ was considered in the context of a conjecture by Jason Beers about the Mordell-Weil ranks of $E_p/\mathbb{Q}$. I show that for $p\equiv 3,5\bmod 8$, the analytic rank of $E_p$ is at least one (Theorem 1.1.2) in line with Beers' predictions. This is done by finding a formula (Theorem 4.1.1) for the global root number of $E_p$ for all twin prime pairs. I also show that Beers' co…

Restricted Jacobi permutations
Alyssa G. Henke, Kyle R. Hoffman, Derek H. Stephens, Yongwei Yuan, Yan Zhuang
https://arxiv.org/abs/2509.11494 https://arxiv…

Restricted Jacobi permutations
Jacobi permutations, introduced by Viennot in the context of Jacobi elliptic functions, are counted by the Euler numbers $E_{n}$ appearing in the series expansion $\sec x+\tan x=\sum_{n=0}^{\infty}E_{n}x^{n}/n!$. We conduct a systematic study of pattern avoidance in Jacobi permutations, achieving a complete enumeration of Jacobi permutations avoiding a prescribed set of length 3 patterns. In the case of a single pattern restriction, we obtain refined enumerations with respect to several permuta…

Unavailability of experimental 3D structural data on protein folding dynamics and necessity for a new generation of structure prediction methods in this context
Aydin Wells, Khalique Newaz, Jennifer Morones, Jianlin Cheng, Tijana Milenkovi\'c
https://arxiv.org/abs/2507.08188

Unavailability of experimental 3D structural data on protein folding dynamics and necessity for a new generation of structure prediction methods in this context
Motivation: Protein folding is a dynamic process during which a protein's amino acid sequence undergoes a series of 3-dimensional (3D) conformational changes en route to reaching a native 3D structure; the resulting 3D structural conformations are called folding intermediates. While data on native 3D structures are abundant, data on 3D structures of non-native intermediates remain sparse, due to limitations of current technologies for experimental determination of 3D structures. Yet, analyzing …

Electron impact ro-vibrational transitions and dissociative recombination of H2 and HD : Rate coefficients and astrophysical implications
Riyad Hassaine, Emerance Djuissi, Nicolina Pop, Felix Iacob, Michel D. Ep\'ee Ep\'ee, Ousmanou Motapon, Vincenzo Laporta, Razvan Bogdan, Mehdi Ayouz, Mourad Telmini, Carla M. Coppola, Daniele Galli, Janos Zs. Mezei, Ioan F. Schneider

Electron impact ro-vibrational transitions and dissociative recombination of H2+ and HD+: Rate coefficients and astrophysical implications
Context. Molecular hydrogen and its cation H+2 are among the first species formed in the early Universe, and play a key role in the thermal and chemical evolution of the primordial gas. In molecular clouds, H+2 ions formed through ionization of H2 by particles react rapidly with H2 to form H+3 , triggering the formation of almost all detected interstellar molecules. Aims. We present a new set of cross sections and rate coefficients for state-to-state ro-vibrational transitions of the H+2 and HD…

On the boundary Carrollian conformal algebra
Lucas Buzaglo, Xiao He, Tuan Anh Pham, Haijun Tan, Girish S Vishwa, Kaiming Zhao
https://arxiv.org/abs/2508.21603 https://

On the boundary Carrollian conformal algebra
We initiate the mathematical study of the boundary Carrollian conformal algebra (BCCA), an infinite-dimensional Lie algebra recently discovered in the context of Carrollian physics. The BCCA is an intriguing object from both physical and mathematical perspectives, since it is a filtered but not graded Lie algebra. In this paper, we first construct some modules for the BCCA and one of its subalgebras, which we call $\mathcal{O}$, by restriction of well-known modules of the BMS$_3$ and Witt algeb…

LLMs in the SOC: An Empirical Study of Human-AI Collaboration in Security Operations Centres
Ronal Singh, Shahroz Tariq, Fatemeh Jalalvand, Mohan Baruwal Chhetri, Surya Nepal, Cecile Paris, Martin Lochner
https://arxiv.org/abs/2508.18947

LLMs in the SOC: An Empirical Study of Human-AI Collaboration in Security Operations Centres
The integration of Large Language Models (LLMs) into Security Operations Centres (SOCs) presents a transformative, yet still evolving, opportunity to reduce analyst workload through human-AI collaboration. However, their real-world application in SOCs remains underexplored. To address this gap, we present a longitudinal study of 3,090 analyst queries from 45 SOC analysts over 10 months. Our analysis reveals that analysts use LLMs as on-demand aids for sensemaking and context-building, rather th…

Rigidity of proper holomorphic self-mappings of the hexablock
Enchao Bi, Zeinab Shaaban, Guicong Su
https://arxiv.org/abs/2507.16176 https://

Rigidity of proper holomorphic self-mappings of the hexablock
The hexablock \(\mathbb{H}\), introduced by Biswas-Pal-Tomar \cite{Hexablock}, is a Hartogs domain in \(\mathbb{C}^4\) fibered over the tetrablock \(\mathbb{E}\) in \(\mathbb{C}^3\), arising in the context of \(μ\)-synthesis problems. In this paper, we prove that every proper holomorphic self-map of \(\mathbb{H}\) is necessarily an automorphism. Consequently, we resolve the conjecture \(G(\mathbb{H}) = \mathrm{Aut}(\mathbb{H})\) on the automorphism group structure, originally posed by Biswas-P…

Dwarf-Dwarf interactions and their influence on star formation : Insights from post-merger galaxies
Rakshit Chauhan, Smitha Subramanian, Deepak A. Kudari, S. Amrutha, Mousumi Das
https://arxiv.org/abs/2507.14695

Dwarf-Dwarf interactions and their influence on star formation : Insights from post-merger galaxies
Dwarf galaxies dominate the galaxy population across all redshifts, and majority of mergers are expected to occur between them. However, the impact of dwarf-dwarf mergers on star formation (SF) is less understood. In this context, we study SF in 6,155 isolated dwarf galaxies (no massive galaxy, $M_{*} > 10^{10} M_{\odot}$, within 1 Mpc$^3$), including 194 post-mergers and 5,961 non-interacting galaxies, spanning stellar masses of $10^7$ - $10^{9.6}$ M$_{\odot}$ and redshifts of 0.01 - 0.12. Pos…

On finite extensions of lamplighter groups
Corentin Bodart
https://arxiv.org/abs/2507.13203 https://arxiv.org/pdf/2507.13203

On finite extensions of lamplighter groups
We study a family of groups consisting of the simplest extensions of lamplighter groups. We use these groups to answer multiple open questions in combinatorial group theory, providing groups that exhibit various combinations of properties: 1) Decidable Subgroup Membership and undecidable Uniform Subgroup Membership Problem, 2) Rational volume growth series and undecidable Word Problem and 3) Recursive (even context-free) language of conjugacy geodesics, decidable Word Problem, and undecidable C…

Deep opacity and AI: A threat to XAI and to privacy protection mechanisms
Vincent C. M\"uller
https://arxiv.org/abs/2509.08835 https://arxiv.org/pdf/2…

Deep opacity and AI: A threat to XAI and to privacy protection mechanisms
It is known that big data analytics and AI pose a threat to privacy, and that some of this is due to some kind of "black box problem" in AI. I explain how this becomes a problem in the context of justification for judgments and actions. Furthermore, I suggest distinguishing three kinds of opacity: 1) the subjects do not know what the system does ("shallow opacity"), 2) the analysts do not know what the system does ("standard black box opacity"), or 3) the analysts cannot possibly know what the …

🤖 Context-Aware Agents
Build agents maintaining context across hundreds of tool calls and multi-step workflows with complete #API documentation, tool definitions, and interaction histories without losing coherence.
💰 Pricing Structure
Standard rates: Prompts ≤200K tokens ($3/MTok input, $15/MTok output)
Extended context: Prompts >200K tokens ($6/MTok input, $22.50/MTok out…

Reionization in HESTIA: Studying reionization in the LG through zoom simulations
David Attard, Luke Conaboy, Noam Libeskind, Sergey Pillipenko, Keri Dixon, Ilian T. Iliev
https://arxiv.org/abs/2509.10133

Reionization in HESTIA: Studying reionization in the LG through zoom simulations
While cosmic reionization has been broadly constrained by global observables, the interplay between internal sources (Milky Way, M31, and their satellites) and external ionization fronts remains poorly understood in a realistic Local Group (LG) context. To address this issue, we perform radiative transfer post-processing on the original HESTIA LG constrained simulation. We calibrate our source models using a uniform 1024^3 particle, dark-matter only, HESTIA simulation coupled with a subgrid col…

CATVis: Context-Aware Thought Visualization
Tariq Mehmood, Hamza Ahmad, Muhammad Haroon Shakeel, Murtaza Taj
https://arxiv.org/abs/2507.11522 https://

CATVis: Context-Aware Thought Visualization
EEG-based brain-computer interfaces (BCIs) have shown promise in various applications, such as motor imagery and cognitive state monitoring. However, decoding visual representations from EEG signals remains a significant challenge due to their complex and noisy nature. We thus propose a novel 5-stage framework for decoding visual representations from EEG signals: (1) an EEG encoder for concept classification, (2) cross-modal alignment of EEG and text embeddings in CLIP feature space, (3) captio…

An Interactive Platform for Unified Assessment of Drug-Drug Interactions Using Descriptive and Pharmacokinetic Data
Nadezhda Diadkina
https://arxiv.org/abs/2508.08351 https://…

An Interactive Platform for Unified Assessment of Drug-Drug Interactions Using Descriptive and Pharmacokinetic Data
Drug-drug interactions (DDIs) are a major concern in polypharmacy. Public databases often provide only qualitative descriptions without pharmacokinetic context. We present an interactive web tool that integrates 191,541 descriptive DDI records from DrugBank with 3,779 AUC-based interactions from the PK-DDIP dataset, extracted from FDA-approved drug labeling (DailyMed) using natural language processing and manual verification. Using multi-step name harmonization (exact, fuzzy, synonym expansion,…

Mapping Toxic Comments Across Demographics: A Dataset from German Public Broadcasting
Jan Fillies, Michael Peter Hoffmann, Rebecca Reichel, Roman Salzwedel, Sven Bodemer, Adrian Paschke
https://arxiv.org/abs/2508.21084

Mapping Toxic Comments Across Demographics: A Dataset from German Public Broadcasting
A lack of demographic context in existing toxic speech datasets limits our understanding of how different age groups communicate online. In collaboration with funk, a German public service content network, this research introduces the first large-scale German dataset annotated for toxicity and enriched with platform-provided age estimates. The dataset includes 3,024 human-annotated and 30,024 LLM-annotated anonymized comments from Instagram, TikTok, and YouTube. To ensure relevance, comments we…

LLM coding is the opposite of DRY
An important principle in software engineering is DRY: Don't Repeat Yourself. We recognize that having the same code copied in more than one place is bad for several reasons:
1. It makes the entire codebase harder to read.
2. It increases maintenance burden, since any problems in the duplicated code need to be solved in more than one place.
3. Because it becomes possible for the copies to drift apart if changes to one aren't transferred to the other (maybe the person making the change has forgotten there was a copy) it makes the code more error-prone and harder to debug.
All modern programming languages make it almost entirely unnecessary to repeat code: we can move the repeated code into a "function" or "module" and then reference it from all the different places it's needed. At a larger scale, someone might write an open-source "library" of such functions or modules and instead of re-implementing that functionality ourselves, we can use their code, with an acknowledgement. Using another person's library this way is complicated, because now you're dependent on them: if they stop maintaining it or introduce bugs, you've inherited a problem, but still, you could always copy their project and maintain your own version, and it would be not much more work than if you had implemented stuff yourself from the start. It's a little more complicated than this, but the basic principle holds, and it's a foundational one for software development in general and the open-source movement in particular. The network of "citations" as open-source software builds on other open-source software and people contribute patches to each others' projects is a lot of what makes the movement into a community, and it can lead to collaborations that drive further development. So the DRY principle is important at both small and large scales.
Unfortunately, the current crop of hyped-up LLM coding systems from the big players are antithetical to DRY at all scales:
- At the library scale, they train on open source software but then (with some unknown frequency) replicate parts of it line-for-line *without* any citation [1]. The person who was using the LLM has no way of knowing that this happened, or even any way to check for it. In theory the LLM company could build a system for this, but it's not likely to be profitable unless the courts actually start punishing these license violations, which doesn't seem likely based on results so far and the difficulty of finding out that the violations are happening. By creating these copies (and also mash-ups, along with lots of less-problematic stuff), the LLM users (enabled and encouraged by the LLM-peddlers) are directly undermining the DRY principle. If we see what the big AI companies claim to want, which is a massive shift towards machine-authored code, DRY at the library scale will effectively be dead, with each new project simply re-implementing the functionality it needs instead of every using a library. This might seem to have some upside, since dependency hell is a thing, but the downside in terms of comprehensibility and therefore maintainability, correctness, and security will be massive. The eventual lack of new high-quality DRY-respecting code to train the models on will only make this problem worse.
- At the module & function level, AI is probably prone to re-writing rather than re-using the functions or needs, especially with a workflow where a human prompts it for many independent completions. This part I don't have direct evidence for, since I don't use LLM coding models myself except in very specific circumstances because it's not generally ethical to do so. I do know that when it tries to call existing functions, it often guesses incorrectly about the parameters they need, which I'm sure is a headache and source of bugs for the vibe coders out there. An AI could be designed to take more context into account and use existing lookup tools to get accurate function signatures and use them when generating function calls, but even though that would probably significantly improve output quality, I suspect it's the kind of thing that would be seen as too-baroque and thus not a priority. Would love to hear I'm wrong about any of this, but I suspect the consequences are that any medium-or-larger sized codebase written with LLM tools will have significant bloat from duplicate functionality, and will have places where better use of existing libraries would have made the code simpler. At a fundamental level, a principle like DRY is not something that current LLM training techniques are able to learn, and while they can imitate it from their training sets to some degree when asked for large amounts of code, when prompted for many smaller chunks, they're asymptotically likely to violate it.
I think this is an important critique in part because it cuts against the argument that "LLMs are the modern compliers, if you reject them you're just like the people who wanted to keep hand-writing assembly code, and you'll be just as obsolete." Compilers actually represented a great win for abstraction, encapsulation, and DRY in general, and they supported and are integral to open source development, whereas LLMs are set to do the opposite.
[1] to see what this looks like in action in prose, see the example on page 30 of the NYTimes copyright complaint against OpenAI (#AI #GenAI #LLMs #VibeCoding

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/6]:
- A Layered Multi-Expert Framework for Long-Context Mental Health Assessments
Jinwen Tang, Qiming Guo, Wenbo Sun, Yi Shang

Theory space and stability analysis of General Relativistic cosmological solutions in modified gravity
Saikat Chakraborty, Piyabut Burikham
https://arxiv.org/abs/2509.15762 http…

Theory space and stability analysis of General Relativistic cosmological solutions in modified gravity
Some aspects of two General Relativistic cosmological solutions, an exact $Λ$CDM-like cosmological solution $j=1$ ($j$ is cosmographic jerk parameter), and a specifically designed toy cosmological solution $j=1+3\varepsilon(q-1/2)$ ($q$ is cosmographic deceleration parameter, $0<|\varepsilon|<1$) that is capable of accommodating a phantom crossing scenario as suggested by DESI DR2, are studied within the context of $f(R)$ gravity, by portraying them as a \emph{flow} in the 2-dimensio…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[2/3]:
- MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models
Zhongzhan Huang, Guoming Ling, Shanshan Zhong, Hefeng Wu, Liang Lin

XUE 10. The CO$_2$-rich terrestrial planet-forming region of an externally irradiated Herbig disk
Jenny Frediani, Arjan Bik, Mar\'ia Claudia Ram\'irez-Tannus, Rens Waters, Konstantin V. Getman, Eric D. Feigelson, Bayron Portilla-Revelo, Beno\^it Tabone, Thomas J. Haworth, Andrew Winter, Thomas Henning, Giulia Perotti, Alexis Brandeker, Germ\'an Chaparro, Pablo Cuartas-Restrepo, Sebasti\'an Hern\'andez, Michael A. Kuhn, Thomas Preibisch, Veronica Roccatagliata, Sierk…

XUE 10. The CO$_2$-rich terrestrial planet-forming region of an externally irradiated Herbig disk
We investigate the James Webb Space Telescope (JWST) MIRI MRS gas molecular content of an externally irradiated Herbig disk, the F-type XUE 10 source, in the context of the eXtreme UV Environments (XUE) program. XUE 10 belongs to the massive star cluster NGC 6357 (1.69 kpc), where it is exposed to an external far-ultraviolet (FUV) radiation $\approx$ 10$^3$ times stronger than in the Solar neighborhood. We modeled the molecular features in the mid-infrared spectrum with Local Thermodynamic Equi…

The higher spin $\Pi$-operator in Clifford analysis
Wanqing Cheng, Chao Ding
https://arxiv.org/abs/2508.11271 https://arxiv.org/pdf/2508.11271

The higher spin $Π$-operator in Clifford analysis
Rarita-Schwinger fields are solutions to the relativistic field equation of spin-$3/2$ fermions in four dimensional flat spacetime, which are important in supergravity and superstring theories. Bure\v s et al. generalized it to arbitrary spin $k/2$ in 2002 in the context of Clifford algebras. In this article, we introduce the higher spin $Π$-operator related to the Rarita-Schwinger operator. Further, we investigate norm estimates, mapping properties and the adjoint operator of the higher spin …

Agentic UAVs: LLM-Driven Autonomy with Integrated Tool-Calling and Cognitive Reasoning
Anis Koubaa, Khaled Gabr
https://arxiv.org/abs/2509.13352 https://ar…

Agentic UAVs: LLM-Driven Autonomy with Integrated Tool-Calling and Cognitive Reasoning
Unmanned Aerial Vehicles (UAVs) are increasingly deployed in defense, surveillance, and disaster response, yet most systems remain confined to SAE Level 2--3 autonomy. Their reliance on rule-based control and narrow AI restricts adaptability in dynamic, uncertain missions. Existing UAV frameworks lack context-aware reasoning, autonomous decision-making, and ecosystem-level integration; critically, none leverage Large Language Model (LLM) agents with tool-calling for real-time knowledge access. …

The Interstellar Medium in IZw18 seen with JWST/MIRI: I. Highly Ionized Gas
L. K. Hunt, A. Aloisi, M. G. Navarro, R. J. Rickards Vaught, B. T. Draine, A. Adamo, F. Annibali, D. Calzetti, S. Hernandez, B. L. James, M. Mingozzi, R. Schneider, M. Tosi, B. Brandl, M. G. del Valle-Espinosa, F. Donnan, A. S. Hirschauer, M. Meixner, D. Rigopoulou, C. T. Richardson, J. M. Levanti, A. R. Basu-Zych

The Interstellar Medium in IZw18 seen with JWST/MIRI: I. Highly Ionized Gas
We present JWST/MIRI spectra from the Medium-Resolution Spectrometer of IZw18, a nearby dwarf galaxy with a metallicity of $\sim$3% Solar. Its proximity enables a detailed study of highly ionized gas that can be interpreted in the context of newly discovered high-redshift dwarf galaxies. We derive aperture spectra centered on eleven regions of interest; the spectra show very low extinction, A_V $\lesssim 0.1$, consistent with optical determinations. The gas is highly ionized; we have detected 1…

OH on slack
User Story
As Overloaded Olivia, the backend engineer,
I want clear, actionable requirements with business context, so that I can implement the correct solution without burning half a day in meetings or wild guessing.
Acceptance Criteria
1. The story includes functional requirements (not just vibes).
2. Success/failure states are defined happy path edge cases).
3. Any dependencies or blockers are identified.
Bonus: PM/Designer reviewed this and it’s not just a draft in disguise.
#swe #sre #devops #devoops @… @…

Local existence theory for a class of CMC gauges for the Einstein-non-linear scalar field equations
Hans Ringstr\"om
https://arxiv.org/abs/2509.14110 https://

Local existence theory for a class of CMC gauges for the Einstein-non-linear scalar field equations
The purpose of this article is to develop a local existence theory for a class of CMC gauges for the Einstein-non-linear scalar field equations. We do so in the context of closed and parallelisable initial manifolds. The assumption that the initial manifold is parallelisable is not a topological restriction in the case of closed oriented 3-manifolds, but it is a restriction in higher dimensions. The results include local existence, uniqueness, a continuation criterion and Cauchy stability. Prev…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[3/5]:
- ILRe: Intermediate Layer Retrieval for Context Compression in Causal Language Models
Manlai Liang, Mandi Liu, Jiangzhou Ji, Huaijun Li, Haobo Yang, Yaohan He, Jinlong Li

The Few-shot Dilemma: Over-prompting Large Language Models
Yongjian Tang, Doruk Tuncel, Christian Koerner, Thomas Runkler
https://arxiv.org/abs/2509.13196 https://

The Few-shot Dilemma: Over-prompting Large Language Models
Over-prompting, a phenomenon where excessive examples in prompts lead to diminished performance in Large Language Models (LLMs), challenges the conventional wisdom about in-context few-shot learning. To investigate this few-shot dilemma, we outline a prompting framework that leverages three standard few-shot selection methods - random sampling, semantic embedding, and TF-IDF vectors - and evaluate these methods across multiple LLMs, including GPT-4o, GPT-3.5-turbo, DeepSeek-V3, Gemma-3, LLaMA-3…

HumorPlanSearch: Structured Planning and HuCoT for Contextual AI Humor
Shivam Dubey
https://arxiv.org/abs/2508.11429 https://arxiv.org/pdf/2508.11429

HumorPlanSearch: Structured Planning and HuCoT for Contextual AI Humor
Automated humor generation with Large Language Models (LLMs) often yields jokes that feel generic, repetitive, or tone-deaf because humor is deeply situated and hinges on the listener's cultural background, mindset, and immediate context. We introduce HumorPlanSearch, a modular pipeline that explicitly models context through: (1) Plan-Search for diverse, topic-tailored strategies; (2) Humor Chain-of-Thought (HuCoT) templates capturing cultural and stylistic reasoning; (3) a Knowledge Graph to r…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[3/10]:
- Context-aware Biases for Length Extrapolation
Ali Veisi, Hamidreza Amirzadeh, Amir Mansourian