Tootfinder

T-TExTS (Teaching Text Expansion for Teacher Scaffolding): Enhancing Text Selection in High School Literature through Knowledge Graph-Based Recommendation
Nirmal Gelal, Chloe Snow, Ambyr Rios, Hande K\"u\c{c}\"uk McGinty
https://arxiv.org/abs/2506.12075

T-TExTS (Teaching Text Expansion for Teacher Scaffolding): Enhancing Text Selection in High School Literature through Knowledge Graph-Based Recommendation
The implementation of transformational pedagogy in secondary education classrooms requires a broad multiliteracy approach. Due to limited planning time and resources, high school English Literature teachers often struggle to curate diverse, thematically aligned literature text sets. This study addresses the critical need for a tool that provides scaffolds for novice educators in selecting literature texts that are diverse -- in terms of genre, theme, subtheme, and author -- yet similar in conte…

Large Language Models (LLMs) for Requirements Engineering (RE): A Systematic Literature Review
Mohammad Amin Zadenoori, Jacek D\k{a}browski, Waad Alhoshan, Liping Zhao, Alessio Ferrari
https://arxiv.org/abs/2509.11446

Large Language Models (LLMs) for Requirements Engineering (RE): A Systematic Literature Review
Large Language Models (LLMs) are finding applications in numerous domains, and Requirements Engineering (RE) is increasingly benefiting from their capabilities to assist with complex, language-intensive tasks. This paper presents a systematic literature review of 74 primary studies published between 2023 and 2024, examining how LLMs are being applied in RE. The study categorizes the literature according to several dimensions, including publication trends, RE activities, prompting strategies, an…

Recent Advances and Future Directions in Literature-Based Discovery
Andrej Kastrin, Bojan Cestnik, Nada Lavra\v{c}
https://arxiv.org/abs/2506.12385 https:/…

Recent Advances and Future Directions in Literature-Based Discovery
The explosive growth of scientific publications has created an urgent need for automated methods that facilitate knowledge synthesis and hypothesis generation. Literature-based discovery (LBD) addresses this challenge by uncovering previously unknown associations between disparate domains. This article surveys recent methodological advances in LBD, focusing on developments from 2000 to the present. We review progress in three key areas: knowledge graph construction, deep learning approaches, an…

"Research on the construction and application of problem-method-oriented academic graph empowered by LLM" https://doi.org/10.1007/s10791-025-09675-2
"Nowadays, the volume of literature in each field is huge and is growing rapidly, which posts challenge to researchers’ lit…

Ah nice, SuUB Bremen (@…) offers their FOLIO scripts in a public repository.
This is the third german repository in my list (https://coll…

International promotion patterns in the smart city literature: Exploring the role of geography in affecting local drivers and smart cities' outcomes
Filippo Marchesani, Francesca Masciarelli, Andrea Bikfalvi
https://arxiv.org/abs/2507.12281

International promotion patterns in the smart city literature: Exploring the role of geography in affecting local drivers and smart cities' outcomes
The rise of smart cities represents a significant trend in urban development. However, only in recent years has attention shifted toward the international promotion of these cities. Despite ongoing academic discussions on the impact of smart city development on urban environments, the global recognition of smart cities remains uncertain due to their multidisciplinary nature. To address this, we conducted a systematic literature review of articles published in top-tier peer-reviewed journals fro…

Updating the Complex Systems Keyword Diagram Using Collective Feedback and Latest Literature Data
Hiroki Sayama
https://arxiv.org/abs/2509.11997 https://ar…

Updating the Complex Systems Keyword Diagram Using Collective Feedback and Latest Literature Data
The complex systems keyword diagram generated by the author in 2010 has been used widely in a variety of educational and outreach purposes, but it definitely needs a major update and reorganization. This short paper reports our recent attempt to update the keyword diagram using information collected from the following multiple sources: (a) collective feedback posted on social media, (b) recent reference books on complex systems and network science, (c) online resources on complex systems, and (…

I can't come across a document in the "Cool URIs" family and not share it: https://datacite.org/blog/cool-dois/

Cool DOI's - DataCite
In 1998 Tim Berners-Lee coined the term cool URIs [-@https://www.w3.org/Provider/Style/URI], that is URIs that don’t change. We know that URLs referenced in the scholarly literature are often not cool, leading […]

Ekphrasis and the Music of Literature: Music, Literature, and the Visual Arts
https://ift.tt/qKMYtzW
updated: Thursday, July 17, 2025 - 10:44amfull name / name of organization: Diana Shaffer / NeMLA’s…
via Input 4 RELCFP

James Baldwin Was Not Your Figurehead
#literature

James Baldwin Was Not Your Figurehead
there's a kind of violence in posthumously drafting a man famously resistant to joining anything into your political movement

A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
Haydn Thomas Jones, Natalie Maus, Josh Magnus Ludan, Maggie Ziyu Huan, Jiaming Liang, Marcelo Der Torossian Torres, Jiatao Liang, Zachary Ives, Yoseph Barash, Cesar de la Fuente-Nunez, Jacob R. Gardner, Mark Yatskar
https://arxiv.org/abs/2508.10899

A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
AI-driven discovery can greatly reduce design time and enhance new therapeutics' effectiveness. Models using simulators explore broad design spaces but risk violating implicit constraints due to a lack of experimental priors. For example, in a new analysis we performed on a diverse set of models on the GuacaMol benchmark using supervised classifiers, over 60\% of molecules proposed had high probability of being mutagenic. In this work, we introduce \ourdataset, a dataset of priors for design pr…

zERExtractor:An Automated Platform for Enzyme-Catalyzed Reaction Data Extraction from Scientific Literature
Rui Zhou, Haohui Ma, Tianle Xin, Lixin Zou, Qiuyue Hu, Hongxi Cheng, Mingzhi Lin, Jingjing Guo, Sheng Wang, Guoqing Zhang, Yanjie Wei, Liangzhen Zheng
https://arxiv.org/abs/2508.09995

zERExtractor:An Automated Platform for Enzyme-Catalyzed Reaction Data Extraction from Scientific Literature
The rapid expansion of enzyme kinetics literature has outpaced the curation capabilities of major biochemical databases, creating a substantial barrier to AI-driven modeling and knowledge discovery. We present zERExtractor, an automated and extensible platform for comprehensive extraction of enzyme-catalyzed reaction and activity data from scientific literature. zERExtractor features a unified, modular architecture that supports plug-and-play integration of state-of-the-art models, including la…

Fuel Consumption in Platoons: A Literature Review
Oumaima Barhoumi, Ghazal Farhani, Taufiq Rahman, Mohamed H. Zaki, Sofi\`ene Tahar, Fadi Araji
https://arxiv.org/abs/2508.10891 …

Fuel Consumption in Platoons: A Literature Review
Platooning has emerged as a promising strategy for improving fuel efficiency in automated vehicle systems, with significant implications for reducing emissions and operational costs. While existing literature on vehicle platooning primarily focuses on individual aspects such as aerodynamic drag reduction or specific control strategies, this work takes a more comprehensive approach by bringing together a wide range of factors and components that contribute to fuel savings in platoons. In this li…

Betti numbers in the Random Connection Model for higher-dimensional simplicial complexes and the Boolean model
Dominik Pabst
https://arxiv.org/abs/2506.13429

Betti numbers in the Random Connection Model for higher-dimensional simplicial complexes and the Boolean model
Random simplicial complexes, as generalizations of random graphs, have become increasingly popular in the literature in recent years. In this paper, we consider a new model for a random simplicial complex that was introduced in arXiv:2506.11918, which generalizes the Random Connection Model in a natural way and includes several models used in the literature as special cases. We focus on the marked stationary case with vertices in $R^d\times A$, where the mark space $A$ is an arbitrary Borel spa…

Ernst #Bloch - Konkrete Utopie in der Jetztwelt
".... the very desire to transcend the status quo supports the idea that the world is pregnant with unrealized possibilities (Bloch 1988: 16)"
1988, The Utopian Function of Art and Literature: Selected Essays, Jack Zipes and Frank Mecklenburg (trans.), Cambridge, MA: MIT Press

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models
Ching Chang, Yidan Shi, Defu Cao, Wei Yang, Jeehyun Hwang, Haixin Wang, Jiacheng Pang, Wei Wang, Yan Liu, Wen-Chih Peng, Tien-Fu Chen
https://arxiv.org/abs/2509.11575

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models
Time series reasoning treats time as a first-class axis and incorporates intermediate evidence directly into the answer. This survey defines the problem and organizes the literature by reasoning topology with three families: direct reasoning in one step, linear chain reasoning with explicit intermediates, and branch-structured reasoning that explores, revises, and aggregates. The topology is crossed with the main objectives of the field, including traditional time series analysis, explanation a…

Later, I'll be giving a talk at #IANLS25 on some quantitative analyses of Latin book prodcution in Germany (and Italy in part) from 1500 through 1800. Slides, code and data can be found here: https://doi.org/10.5281/zenodo.15878272

Cryptanalysis and design for a family of plaintext non-delayed chaotic ciphers
Qianxue Wang, Simin Yu
https://arxiv.org/abs/2509.11158 https://arxiv.org/pd…

Cryptanalysis and design for a family of plaintext non-delayed chaotic ciphers
Plaintext non-delayed chaotic cipher (PNDCC) means that in the diffusion equation, plaintext has no delay terms while ciphertext has a feedback term. In existing literature, chaotic cipher diffusions invariably take this form. Since its introduction, PNDCC has attracted attention but also doubts. Designers of chaotic ciphers usually claim PNDCC security by statistical tests, while rigorous cryptographic proofs are absent. Thus, it is necessary to re-examine its design rationale and empirical se…

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies
Rom Gutman, Shimon Sheiba, Omer Noy Klien, Naama Dekel Bird, Amit Gruber, Doron Aronson, Oren Caspi, Uri Shalit
https://arxiv.org/abs/2507.11381

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies
We propose a framework for building patient-specific treatment recommendation models, building on the large recent literature on learning patient-level causal models and inspired by the target trial paradigm of Hernan and Robins. We focus on safety and validity, including the crucial issue of causal identification when using observational data. We do not provide a specific model, but rather a way to integrate existing methods and know-how into a practical pipeline. We further provide a real wor…

"My Boyfriend is AI": A Computational Analysis of Human-AI Companionship in Reddit's AI Community
Pat Pataranutaporn, Sheer Karny, Chayapatr Archiwaranguprok, Constanze Albrecht, Auren R. Liu, Pattie Maes
https://arxiv.org/abs/2509.11391

"My Boyfriend is AI": A Computational Analysis of Human-AI Companionship in Reddit's AI Community
Human-AI interaction researchers face an overwhelming challenge: synthesizing insights from thousands of empirical studies to understand how AI impacts people and inform effective design. Existing approach for literature reviews cluster papers by similarities, keywords or citations, missing the crucial cause-and-effect relationships that reveal how design decisions impact user outcomes. We introduce the Atlas of Human-AI Interaction, an interactive web interface that provides the first systemat…

Ryser's Theorem for Simple Multi-Latin Rectangle
Amin Bahmanian
https://arxiv.org/abs/2509.11471 https://arxiv.org/pdf/2509.11471

Ryser's Theorem for Simple Multi-Latin Rectangle
We prove a general result on completing objects similar to Latin rectangles in which the number of occurrences of each symbol is prescribed, each cell contains multiple symbols, and no cell contains repeated symbols. This generalizes several results in the literature, and leads to confirming a conjecture of Cavenagh, Hämäläinen, Lefevre, and Stones. An $r\times s$ {\it $λ$-Latin rectangle} $L$ is an $r\times s$ array in which each cell contains a multiset of $λ$ elements from the set $\{…

Bumblebee vector-tensor dark energy
Carsten van de Bruck, Mohammad Ali Gorji, Nils A. Nilsson, Masahide Yamaguchi
https://arxiv.org/abs/2509.11647 https://…

Bumblebee vector-tensor dark energy
Bumblebee models, a class of vector-tensor theories in which a vector field acquires a nonzero vacuum expectation value that spontaneously breaks spacetime symmetries, are ubiquitous in the literature. In this paper, we highlight several often-overlooked properties of these models by analyzing their cosmological perturbations. We show that a non-minimal coupling to gravity is essential for the stability of the setup. However, avoiding propagation of a ghost mode then requires imposing a relatio…

Folkman's theorem and the primes
David J. Fern\'andez-Bret\'on
https://arxiv.org/abs/2509.12025 https://arxiv.org/pdf/2509.12025

Folkman's theorem and the primes
We provide two new proofs of the infinitude of prime numbers, using the additive Ramsey-theoretic result known as Folkman's theorem (alternatively, one can think of these proofs as using Hindman's theorem). This adds to the existing literature deriving the infinitude of primes from Ramsey-type theorems.

A Review of Generative AI in Computer Science Education: Challenges and Opportunities in Accuracy, Authenticity, and Assessment
Iman Reihanian, Yunfei Hou, Yu Chen, Yifei Zheng
https://arxiv.org/abs/2507.11543

A Review of Generative AI in Computer Science Education: Challenges and Opportunities in Accuracy, Authenticity, and Assessment
This paper surveys the use of Generative AI tools, such as ChatGPT and Claude, in computer science education, focusing on key aspects of accuracy, authenticity, and assessment. Through a literature review, we highlight both the challenges and opportunities these AI tools present. While Generative AI improves efficiency and supports creative student work, it raises concerns such as AI hallucinations, error propagation, bias, and blurred lines between AI-assisted and student-authored content. Hum…

Exploring Distributed Vector Databases Performance on HPC Platforms: A Study with Qdrant
Seth Ockerman, Amal Gueroudji, Song Young Oh, Robert Underwood, Nicholas Chia, Kyle Chard, Robert Ross, Shivaram Venkataraman
https://arxiv.org/abs/2509.12384

Exploring Distributed Vector Databases Performance on HPC Platforms: A Study with Qdrant
Vector databases have rapidly grown in popularity, enabling efficient similarity search over data such as text, images, and video. They now play a central role in modern AI workflows, aiding large language models by grounding model outputs in external literature through retrieval-augmented generation. Despite their importance, little is known about the performance characteristics of vector databases in high-performance computing (HPC) systems that drive large-scale science. This work presents a…

Exploring Discrete Factor Analysis with the discFA Package in R
Reza Arabi Belaghi, Yasin Asar, Rolf Larsson
https://arxiv.org/abs/2506.13309 https://

Exploring Discrete Factor Analysis with the discFA Package in R
Literature suggested that using the traditional factor analysis for the count data may be inappropriate. With that in mind, discrete factor analysis builds on fitting systems of dependent discrete random variables to data. The data should be in the form of non-negative counts. Data may also be truncated at some positive integer value. The discFA package in R allows for two distributions: Poisson and Negative Binomial, in combination with possible zero inflation and possible truncation, hence, e…

The Filter Echo: A General Tool for Filter Visualisation
Daniel Gaa, Joachim Weickert, Iva Farag, \"Ozg\"un \c{C}i\c{c}ek
https://arxiv.org/abs/2509.11932 https://

The Filter Echo: A General Tool for Filter Visualisation
To select suitable filters for a task or to improve existing filters, a deep understanding of their inner workings is vital. Diffusion echoes, which are space-adaptive impulse responses, are useful to visualise the effect of nonlinear diffusion filters. However, they have received little attention in the literature. There may be two reasons for this: Firstly, the concept was introduced specifically for diffusion filters, which might appear too limited. Secondly, diffusion echoes have large stor…

A New Approach for the Continuous Time Kyle-Back Strategic Insider Equilibrium Problem
Bixing Qiao, Jianfeng Zhang
https://arxiv.org/abs/2506.12281 https:/…

A New Approach for the Continuous Time Kyle-Back Strategic Insider Equilibrium Problem
This paper considers a continuous time Kyle-Back model which is a game problem between an insider and a market marker. The existing literature typically focuses on the existence of equilibrium by using the PDE approach, which requires certain Markovian structure and the equilibrium is in the bridge form. We shall provide a new approach which is used widely for stochastic controls and stochastic differential games. We characterize all equilibria through a coupled system of forward backward SDEs,…

Digital Transformation of Urban Planning in Australia: Influencing Factors and Key Challenges
Soheil Sabri, Sherah Kurnia
https://arxiv.org/abs/2506.13333 …

Digital Transformation of Urban Planning in Australia: Influencing Factors and Key Challenges
Over the past two decades, several governments in developing and developed countries have started their journey toward digital transformation. However, the pace and maturity of digital technologies and strategies are different between public services. Current literature indicates that research on the digital transformation of urban planning is still developing. Therefore, the aim of this study is to understand the influencing factors and key challenges for the digital transformation of urban pl…

Style-based Composer Identification and Attribution of Symbolic Music Scores: a Systematic Survey
Federico Simonetta
https://arxiv.org/abs/2506.12440 https…

Style-based Composer Identification and Attribution of Symbolic Music Scores: a Systematic Survey
This paper presents the first comprehensive systematic review of literature on style-based composer identification and authorship attribution in symbolic music scores. Addressing the critical need for improved reliability and reproducibility in this field, the review rigorously analyzes 58 peer-reviewed papers published across various historical periods, with the search adapted to evolving terminology. The analysis critically assesses prevailing repertoires, computational approaches, and evalua…

Toward lean industry 5.0: a human-centered model for integrating lean and industry 4.0 in an automotive supplier
Peter Hines (SETU), Florian Magnani (MAGELLAN), Josefa Mula, Raquel Sanchis
https://arxiv.org/abs/2509.11658

Toward lean industry 5.0: a human-centered model for integrating lean and industry 4.0 in an automotive supplier
This paper proposes a human-centered conceptual model integrating lean and Industry 4.0 based on the literature review and validated it through a case study in the context of an advanced automotive first-tier supplier. Addressing a significant gap in existing research on lean Industry 4.0 implementations, the study provides both theoretical insights and practical findings. It emphasizes the importance of a human-centered approach, identifies key enablers and barriers. In the implementation proc…

Black Hole Gravitational Phenomena in Higher-Order Curvature-Scalar Gravity
A. A. Ara\'ujo Filho, N. Heidari, Iarley P. Lobo
https://arxiv.org/abs/2509.11985 https://…

Black Hole Gravitational Phenomena in Higher-Order Curvature-Scalar Gravity
This work aims to explore the gravitational consequences of a recently proposed black hole solution presented in the literature [Phys. Dark Univ. 50 (2025) 102061]. We initiate our analyzes by taking into account the horizon structure, focusing on both the event and Cauchy horizons. Subsequently, we examine the quasinormal modes by considering all types of perturbations -- scalar, vector, tensor, and spinorial. To strengthen these results, we also compute the time-domain for each perturbation. …

Granulation signatures in 3D hydrodynamical simulations: evaluating background model performance using a Bayesian nested sampling framework
Jens R. Larsen, Mia S. Lundkvist, Guy R. Davies, Martin B. Nielsen, Hans-G\"unter Ludwig, Yixiao Zhao, Luisa F. Rodr\'iguez D\'iaz, Hans Kjeldsen
https://arxiv.org/abs/2507.1169…

Granulation signatures in 3D hydrodynamical simulations: evaluating background model performance using a Bayesian nested sampling framework
Understanding the granulation background signal is of vital importance when interpreting the asteroseismic diagnostics of solar-like oscillators. Various descriptions exist in the literature for modelling the surface manifestation of convection, the choice of which affects our interpretations. We aim to evaluate the performance of and preference for various granulation background models for a suite of 3D hydrodynamical simulations of convection across the HR diagram, thereby expanding the numbe…

Crosslisted article(s) found for cs.GL. https://arxiv.org/list/cs.GL/new
[1/1]:
- Nuclear Beavers
Joshua Wylie, Pablo Giuliani, Kyle Godbey, Sylvester Agbemava
ht…

First determination of $V_{cs,cd}$ from inclusive $D$ meson decays
Kang-Kang Shao, Hai-Long Feng, Xue-Yin Liu, Qin Qin, Liang Sun, Fu-Sheng Yu
https://arxiv.org/abs/2509.11404 h…

First determination of $V_{cs,cd}$ from inclusive $D$ meson decays
We report the first determination of the Cabibbo-Kobayashi-Maskawa matrix elements $|V_{cs}|$ and $|V_{cd}|$ from a global fit to data from inclusive and sum-of-exclusive charm decays. Simultaneously, the heavy quark expansion parameters are determined, and they are in good agreement with results from the literature, validating the robustness of this work. With the current precision, our determined value for $|V_{cs}|$ is consistent with the world-average value ext…

Normal Hyperbolicity in Secondary Hopf Bifurcations
Pedro C. C. R. Pereira, Douglas D. Novaes
https://arxiv.org/abs/2507.10721 https://

Normal Hyperbolicity in Secondary Hopf Bifurcations
We combine results available in the literature to prove that the torus emerging in a secondary Hopf bifurcation is normally hyperbolic. This result is then applied to establish sufficient conditions for the bifurcation of normally hyperbolic invariant tori in the extended phase space of systems with small time-periodic perturbations via an application of the averaging method.

Spectral Energy Distribution Analysis of the Supersoft X-ray Source CAL 87: Multiwavelength Constraints
Paulo E. Stecchini, Francisco Jablonski, Marcos P. Diaz, Alexandre S. Oliveira, Flavio D'Amico, Nat\'alia Palivanas
https://arxiv.org/abs/2509.12114

Spectral Energy Distribution Analysis of the Supersoft X-ray Source CAL 87: Multiwavelength Constraints
We analyse the spectral energy distribution (SED) of the eclipsing supersoft X-ray source CAL 87 covering wavelengths from X-rays to the near-infrared. Our study incorporates 26 data points across ultraviolet to near-infrared, sourced from published literature, unpublished data, and new observations. In addition, archival XMM-Newton spectra were used to represent the X-ray emission. Care was taken to use out-of-eclipse flux measurements when the irradiated side of the companion faces the observ…

Toxicity in State Sponsored Information Operations
Ashfaq Ali Shafin, Khandaker Mamun Ahmed
https://arxiv.org/abs/2507.10936 https://…

Toxicity in State Sponsored Information Operations
State-sponsored information operations (IOs) increasingly influence global discourse on social media platforms, yet their emotional and rhetorical strategies remain inadequately characterized in scientific literature. This study presents the first comprehensive analysis of toxic language deployment within such campaigns, examining 56 million posts from over 42 thousand accounts linked to 18 distinct geopolitical entities on X/Twitter. Using Google's Perspective API, we systematically detect and…

The Shape of Dark Energy: Constraining Its Evolution with a General Parametrization
Dong Ha Lee, Weiqiang Yang, Eleonora Di Valentino, Supriya Pan, Carsten van de Bruck
https://arxiv.org/abs/2507.11432

The Shape of Dark Energy: Constraining Its Evolution with a General Parametrization
We consider a general dark energy (DE) model parametrized by its equation-of-state (EoS), featuring three free parameters: $w_0$ (the present-day value of the DE EoS), $w_β$ (quantifying the dynamical nature of the DE EoS), and $β$ (governing various dynamical forms of the DE EoS). The key controlling parameter $β$ can recover several existing DE models in the literature, such as the Chevallier-Polarski-Linder (CPL) parametrization ($β= 1$), the logarithmic parametrization (in the limit $β…

Effects of rough boundary and nonzero boundary conditions on the lubrication process with micropolar fluid
Matthieu Bonnivard, Igor Pazanin, Francisco Suarez-Grau
https://arxiv.org/abs/2507.11318

Effects of rough boundary and nonzero boundary conditions on the lubrication process with micropolar fluid
The lubrication theory is mostly concerned with the behavior of a lubricant flowing through a narrow gap. Motivated by the experimental findings from the tribology literature, we take the lubricant to be micropolar fluid and study its behavior in a thin domain with rough boundary. Instead of considering (commonly used) simple zero boundary condition, we impose physically relevant (nonzero) boundary condition for microrotation and perform asymptotic analysis of the corresponding 3D boundary valu…

Cycling Along Euler Road
Dylan Wyrzykowski
https://arxiv.org/abs/2509.10460 https://arxiv.org/pdf/2509.10460

Cycling Along Euler Road
We introduce the notion of $P_λ$ points, which canonically parametrize points on the Euler line. This allows us to show that the Euler line of any inscribed $n$-polytope in $d$-dimensional Euclidean space arises from the Euler lines of its facets, beginning from the Euler line of a point in the plane. Furthermore, we situate $P_λ$ points in the literature of modern triangle centers.

Replaced article(s) found for astro-ph.IM. https://arxiv.org/list/astro-ph.IM/new
[1/1]:
- Bridging Literature and the Universe Via A Multi-Agent Large Language Model System
Xiaowen Zhang, Zhenyu Bi, Patrick Lachance, Xuan Wang, Tiziana Di Matteo, Rupert A. C. Croft
…

Anisoplanatic errors in two-wavelength adaptive optics
Milo Hyde, Mark Spencer, Matt Kalensky
https://arxiv.org/abs/2509.12970 https://arxiv.org/pdf/2509.1…

Anisoplanatic errors in two-wavelength adaptive optics
Two-wavelength adaptive optics (AO) systems sense wavefront errors using a beacon at one wavelength, while correcting for subsequent imaging or beam projection at another. Although most AO systems operate in this manner, the relevant AO literature is generally concerned with quantifying system performance at a single wavelength, effectively ignoring the two-wavelength nature of the problem. In this paper, we study the effects of anisoplanatism, or the physical separation of the beacon and trans…

Effects of the Strict-Tolerant Approach on Intuitionistic and Minimal Logic
Victor Barroso-Nascimento, German Mejia
https://arxiv.org/abs/2509.10322 https://

Effects of the Strict-Tolerant Approach on Intuitionistic and Minimal Logic
This paper extends the literature on the strict-tolerant logical approach by applying its methods to intuitionistic and minimal logic. In short, the strict-tolerant approach modifies the usual notion of logical consequence by stipulating that, in order for an inference to be valid, from the truth of the premises must follow the non-falsity of the conclusion. This notion can also be generalized to define strict-tolerant metainferences, metametainferences and so on, which may or may not generate …

ProteuS: A Generative Approach for Simulating Concept Drift in Financial Markets
Andr\'es L. Su\'arez-Cetrulo, Alejandro Cervantes, David Quintana
https://arxiv.org/abs/2509.11844

ProteuS: A Generative Approach for Simulating Concept Drift in Financial Markets
Financial markets are complex, non-stationary systems where the underlying data distributions can shift over time, a phenomenon known as regime changes, as well as concept drift in the machine learning literature. These shifts, often triggered by major economic events, pose a significant challenge for traditional statistical and machine learning models. A fundamental problem in developing and validating adaptive algorithms is the lack of a ground truth in real-world financial data, making it di…

Improving Reinforcement Learning Sample-Efficiency using Local Approximation
Mohit Prashant, Arvind Easwaran
https://arxiv.org/abs/2507.12383 https://

Improving Reinforcement Learning Sample-Efficiency using Local Approximation
In this study, we derive Probably Approximately Correct (PAC) bounds on the asymptotic sample-complexity for RL within the infinite-horizon Markov Decision Process (MDP) setting that are sharper than those in existing literature. The premise of our study is twofold: firstly, the further two states are from each other, transition-wise, the less relevant the value of the first state is when learning the $ε$-optimal value of the second; secondly, the amount of 'effort', sample-complexity-wise, ex…

Jackknife Variance Estimation for H\'ajek-Dominated Generalized U-Statistics
Jakob R. Juergens
https://arxiv.org/abs/2509.12356 https://arxiv.org/pdf/2…

Jackknife Variance Estimation for Hájek-Dominated Generalized U-Statistics
We prove ratio-consistency of the jackknife variance estimator, and certain variants, for a broad class of generalized U-statistics whose variance is asymptotically dominated by their Hájek projection, with the classical fixed-order case recovered as a special instance. This Hájek projection dominance condition unifies and generalizes several criteria in the existing literature, placing the simple nonparametric jackknife on the same footing as the infinitesimal jackknife in the generalized se…

Crosslisted article(s) found for physics.ed-ph. https://arxiv.org/list/physics.ed-ph/new
[1/1]:
- Updating the Complex Systems Keyword Diagram Using Collective Feedback and Latest Literature Data
Hiroki Sayama

Omnisoot: an object-oriented process design package for gas-phase synthesis of carbonaceous nanoparticles
Mohammad Adib, Sina Kazemi, M. Reza Kholghy
https://arxiv.org/abs/2507.10879

Omnisoot: an object-oriented process design package for gas-phase synthesis of carbonaceous nanoparticles
A computational tool, Omnisoot, was developed utilizing the chemical kinetics capabilities of Cantera to model the formation of carbonaceous nanoparticles, such as soot and Carbon Black (CB), from the reactions of gaseous hydrocarbons. Omnisoot integrates constant volume, constant pressure, perfectly stirred, and plug flow reactor models with four inception models from the literature, as well as two population balance models: a monodisperse model and a sectional model. This package serves as an…

celegans_interactomes: C. elegans interactomes (2009)
Ten networks of protein-protein interactions in Caenorhabditis elegans (nematode), from yeast two-hybrid experiments, biological process maps, literature curation, orthologous interactions, and genetic interactions. The WI8 network combines WI2004, WI2007 and BPmaps, while the Integrated Network combines data from all sources.
This network has 2436 nodes and 136930 edges.
Tags: Biological, Protein interactions, Unweighte…

Expanding ML-Documentation Standards For Better Security
Cara Ellen Appel
https://arxiv.org/abs/2507.12003 https://arxiv.org/pdf/2507…

Expanding ML-Documentation Standards For Better Security
This article presents the current state of ML-security and of the documentation of ML-based systems, models and datasets in research and practice based on an extensive review of the existing literature. It shows a generally low awareness of security aspects among ML-practitioners and organizations and an often unstandardized approach to documentation, leading to overall low quality of ML-documentation. Existing standards are not regularly adopted in practice and IT-security aspects are often no…

Adopting Use Case Descriptions for Requirements Specification: an Industrial Case Study
Julian Frattini, Anja Frattini
https://arxiv.org/abs/2506.13303 htt…

Adopting Use Case Descriptions for Requirements Specification: an Industrial Case Study
Context: Use case (UC) descriptions are a prominent format for specifying functional requirements. Existing literature abounds with recommendations on how to write high-quality UC descriptions but lacks insights into (1) their real-world adoption, (2) whether these recommendations correspond to actual quality, and (3) which factors influence the quality of UCs. Objectives: We aim to contribute empirical evidence about the adoption of UC descriptions in a large, globally distributed case company…

Demonstrating Narrative Pattern Discovery from Biomedical Literature
Hermann Kroll, Pascal Sackhoff, Bill Matthias Thang, Christin Katharina Kreutz, Wolf-Tilo Balke
https://arxiv.org/abs/2509.09687

Demonstrating Narrative Pattern Discovery from Biomedical Literature
Digital libraries maintain extensive collections of knowledge and need to provide effective access paths for their users. For instance, PubPharm, the specialized information service for Pharmacy in Germany, provides and develops access paths to their underlying biomedical document collection. In brief, PubPharm supports traditional keyword-based search, search for chemical structures, as well as novel graph-based discovery workflows, e.g., listing or searching for interactions between different…

MExplore: an entity-based visual analytics approach for medical expertise acquisition
Xiao Pang, Yan Huang, Chang Liu, JiYuan Liu, MingYou Liu
https://arxiv.org/abs/2507.12337

MExplore: an entity-based visual analytics approach for medical expertise acquisition
Acquiring medical expertise is a critical component of medical education and professional development. While existing studies focus primarily on constructing medical knowledge bases or developing learning tools based on the structured, private healthcare data, they often lack methods for extracting expertise from unstructured medical texts. These texts constitute a significant portion of medical literature and offer greater flexibility and detail compared to structured data formats. Furthermore…

Identically vanishing $k$-generalized Fibonacci polynomials
S. R. Mane
https://arxiv.org/abs/2507.11596 https://arxiv.org/pdf/2507.11…

Identically vanishing $k$-generalized Fibonacci polynomials
The Fibonacci polynomials are a generalization of the Fibonacci numbers. The $k$-generalized Fibonacci polynomials are a further generalization to $k\ge2$ summands, which satisfy the recurrence $\mathcal{F}_{n,k}(x) = x^{k-1}\mathcal{F}_{n-1,k}(x) +x^{k-2}\mathcal{F}_{n-2,k}(x) +\dots +\mathcal{F}_{n-k,k}(x)$. Most of the attention in the literature iterates the above recurrence upwards to positive values of $n$. We show that, when the recurrence is iterated downwards to negative values of $n$,…

A Converse Control Lyapunov Theorem for Joint Safety and Stability
Thanin Quartz, Maxwell Fitzsimmons, Jun Liu
https://arxiv.org/abs/2509.12182 https://arx…

A Converse Control Lyapunov Theorem for Joint Safety and Stability
We show that the existence of a strictly compatible pair of control Lyapunov and control barrier functions is equivalent to the existence of a single smooth Lyapunov function that certifies both asymptotic stability and safety. This characterization complements existing literature on converse Lyapunov functions by establishing a partial differential equation (PDE) characterization with prescribed boundary conditions on the safe set, ensuring that the safe set is exactly certified by this Lyapun…

Learning Discrete Bayesian Networks with Hierarchical Dirichlet Shrinkage
Alexander Dombowsky, David B. Dunson
https://arxiv.org/abs/2509.13267 https://arx…

Learning Discrete Bayesian Networks with Hierarchical Dirichlet Shrinkage
Discrete Bayesian networks (DBNs) provide a broadly useful framework for modeling dependence structures in multivariate categorical data. There is a vast literature on methods for inferring conditional probabilities and graphical structure in DBNs, but data sparsity and parametric assumptions are major practical issues. In this article, we detail a comprehensive Bayesian framework for learning DBNs. First, we propose a hierarchical prior for the conditional probabilities that enables complicate…

Literature, Objects, and Society in 18th-century Asia (panel)
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updated: Friday, August 15, 2025 - 12:56pmfull name / name of organization: American Society for…
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Why "AI" Models for Predicting Soil Liquefaction have been Ignored, Plus Some that Shouldn't Be
Brett W. Maurer, Morgan D. Sanger
https://arxiv.org/abs/2509.10966 …

Why "AI" Models for Predicting Soil Liquefaction have been Ignored, Plus Some that Shouldn't Be
Soil liquefaction remains an important and interesting problem that has attracted the development of enumerable prediction models. Increasingly, these models are utilizing algorithmic learning, or "artificial intelligence" (AI). The rapid growth of AI in the liquefaction literature is unsurprising, given its ease of implementation and potential advantages over traditional statistical methods. However, AI liquefaction models have been widely ignored by practitioners and researchers alike; the ob…

Comprehensive investigation on baryon number violating nucleon decays involving an axion-like particle
Wei-Qi Fan, Yi Liao, Xiao-Dong Ma, Hao-Lin Wang
https://arxiv.org/abs/2507.11844

Comprehensive investigation on baryon number violating nucleon decays involving an axion-like particle
In this work, we systematically investigate baryon number violating (BNV) nucleon decays into an axion-like particle (ALP), within a low energy effective field theory extended with an ALP, named as aLEFT. Unlike previous studies in the literature, we consider contributions to nucleon decays from a complete set of dimension-eight BNV aLEFT operators involving light $u,\,d,\,s$ quarks. We perform the chiral irreducible representation (irrep) decomposition of all those interactions under the QCD c…

$\epsilon$-Optimal Multi-Agent Patrol using Recurrent Strategy
Deepak Mallya, Arpita Sinha, Leena Vachhani
https://arxiv.org/abs/2509.11640 https://arxiv.o…

$ε$-Optimal Multi-Agent Patrol using Recurrent Strategy
The multi-agent patrol problem refers to repeatedly visiting different locations in an environment using multiple autonomous agents. For over two decades, researchers have studied this problem in various settings. While providing valuable insights into the problem, the works in existing literature have not commented on the nature of the optimal solutions to the problem. We first show that an $ε$-approximate recurrent patrol strategy exists for every feasible patrol strategy. Then, we establish…

Asymptotic quasinormal modes, echoes, and black hole spectral instability: a brief review
Shui-Fa Shen, Guan-Ru Li, Ramin G. Daghigh, Jodin C. Morey, Michael D. Green, Wei-Liang Qian, Rui-Hong Yue
https://arxiv.org/abs/2507.11663

Asymptotic quasinormal modes, echoes, and black hole spectral instability: a brief review
We present a short review of the analytical aspects of recent progress in the study of black hole spectral instability and its potential observational consequences. This topic, inspired by earlier foundational works, has attracted considerable attention in the recent literature. It has been demonstrated that both the low-lying modes and high overtones of black hole quasinormal spectra can be substantially influenced by ultraviolet metric perturbations. The temporal evolution of gravitational wa…

Bayesian Quantification of Observability and Equation of State of Twin Stars
Xavier Grundler, Bao-An Li
https://arxiv.org/abs/2506.13677 https://

Bayesian Quantification of Observability and Equation of State of Twin Stars
The possibility of discovering twin stars, two neutron stars (NSs) with the same mass but different radii, is usually studied in forward modelings by using a restricted number of NS matter equation of state (EOS) encapsulating a first-order phase transition from hadronic to quark matter (QM). Informing our likelihood function with the NS radius data from GW170817 and using a meta-model with 9-parameters capable of mimicking most NS EOSs available in the literature, we conduct a Bayesian quantif…

Cyber Attack Mitigation Framework for Denial of Service (DoS) Attacks in Fog Computing
Fizza Khurshid, Umara Noor, Zahid Rashid
https://arxiv.org/abs/2509.11668 https://

Cyber Attack Mitigation Framework for Denial of Service (DoS) Attacks in Fog Computing
Innovative solutions to cyber security issues are shaped by the ever-changing landscape of cyber threats. Automating the mitigation of these threats can be achieved through a new methodology that addresses the domain of mitigation automation, which is often overlooked. This literature overview emphasizes the lack of scholarly work focusing specifically on automated cyber threat mitigation, particularly in addressing challenges beyond detection. The proposed methodology comprise of the developme…

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery
Fengyu She, Nan Wang, Hongfei Wu, Ziyi Wan, Jingmian Wang, Chang Wang
https://arxiv.org/abs/2509.08032

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery
Scientific literature is growing exponentially, creating a critical bottleneck for researchers to efficiently synthesize knowledge. While general-purpose Large Language Models (LLMs) show potential in text processing, they often fail to capture scientific domain-specific nuances (e.g., technical jargon, methodological rigor) and struggle with complex scientific tasks, limiting their utility for interdisciplinary research. To address these gaps, this paper presents SciGPT, a domain-adapted found…

Phase-field modelling of cohesive fracture. Part I: $\Gamma$-convergence results
Roberto Alessi, Francesco Colasanto, Matteo Focardi
https://arxiv.org/abs/2507.12169

Phase-field modelling of cohesive fracture. Part I: $Γ$-convergence results
The main aim of this three-part work is to provide a unified consistent framework for the phase-field modeling of cohesive fracture. In this first paper we establish the mathematical foundation of a cohesive phase-field model by proving a $Γ$-convergence result in a one-dimensional setting. Specifically, we consider a broad class of phase-field energies, encompassing different models present in the literature, thereby both extending the results in \cite{ContiFocardiIurlano2016} and providing…

Generative AI in Science: Applications, Challenges, and Emerging Questions
Ryan Harries, Cornelia Lawson, Philip Shapira
https://arxiv.org/abs/2507.08310 h…

Generative AI in Science: Applications, Challenges, and Emerging Questions
This paper examines the impact of Generative Artificial Intelligence (GenAI) on scientific practices, conducting a qualitative review of selected literature to explore its applications, benefits, and challenges. The review draws on the OpenAlex publication database, using a Boolean search approach to identify scientific literature related to GenAI (including large language models and ChatGPT). Thirty-nine highly cited papers and commentaries are reviewed and qualitatively coded. Results are cat…

NIR filter transformations across the HR diagram: JWST, Roman, and Euclid
M. J. Durbin, R. L. Beaton, A. J. Monson, B. Swidler
https://arxiv.org/abs/2506.13627

NIR filter transformations across the HR diagram: JWST, Roman, and Euclid
We present new color transformations between select near-infrared filters on JWST/NIRCam, Euclid/NISP, Roman/WFI, HST, and ground-based $izY+IJHK_S$, for a total of 105 unique filter combinations. Additionally, we apply these transformations to predict the color-magnitude relation of the tip of the red giant branch as seen with JWST, Euclid, and Roman based on theoretical results for HST and 2MASS filters; for JWST we find good agreement with empirical results in the literature. We also find ty…

[2025-06-17 Tue (UTC), no new articles found for cs.GL General Literature]
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Functional central limit theorem for dependent models with finite memory
V\'ictor Hugo V\'azquez Guevara, Manuel Gonz\'alez-Navarrete
https://arxiv.org/abs/2506.12145 …

Functional central limit theorem for dependent models with finite memory
We provide complementary results for a family of models with dependence on their previous $k$-sum. Using a martingale-based approach, we establish a functional central limit theorem and analyze the limiting behavior of the center of mass. Additionally, we explore the connection between our findings and the study of certain reinforced random walks in the literature

Finite dominating sets for the refueling station location problem in fleet operations
Moddassir Khan Nayeem, Fuhad Ahmed Opu, Omar Abbaas, Sara Abu-Aridah
https://arxiv.org/abs/2509.11441

Finite dominating sets for the refueling station location problem in fleet operations
This study considers a set of routes used by public transportation vehicles and dedicated distribution fleets in a general network. We aim to optimally locate alternative fuel refueling stations in the network to serve these dedicated routes. Deviations from prescribed routes for refueling purposes are allowed. Unlike most related literature, our approach considers all points in the network as candidate refueling station locations. We derive coverage constraints for any candidate location to se…

A simple formalization of alpha-equivalence
Kalmer Apinis, Danel Ahman
https://arxiv.org/abs/2507.10181 https://arxiv.org/pdf/2507.10…

A simple formalization of alpha-equivalence
While teaching untyped $λ$-calculus to undergraduate students, we were wondering why $α$-equivalence is not directly inductively defined. In this paper, we demonstrate that this is indeed feasible. Specifically, we provide a grounded, inductive definition for $α$-equivalence and show that it conforms to the specification provided in the literature. The work presented in this paper is fully formalized in the Rocq Prover.

Joint semi-parametric INAR bootstrap inference for model coefficients and innovation distribution
Maxime Faymonville, Carsten Jentsch
https://arxiv.org/abs/2507.11124

Joint semi-parametric INAR bootstrap inference for model coefficients and innovation distribution
For modeling the serial dependence in time series of counts, various approaches have been proposed in the literature. In particular, models based on a recursive, autoregressive-type structure such as the well-known integer-valued autoregressive (INAR) models are very popular in practice. The distribution of such INAR models is fully determined by a vector of autoregressive binomial thinning coefficients and the discrete innovation distribution. While fully parametric estimation techniques for t…

A Comparison of Selected Image Transformation Techniques for Malware Classification
Rishit Agrawal, Kunal Bhatnagar, Andrew Do, Ronnit Rana, Mark Stamp
https://arxiv.org/abs/2509.10838

A Comparison of Selected Image Transformation Techniques for Malware Classification
Recently, a considerable amount of malware research has focused on the use of powerful image-based machine learning techniques, which generally yield impressive results. However, before image-based techniques can be applied to malware, the samples must be converted to images, and there is no generally-accepted approach for doing so. The malware-to-image conversion strategies found in the literature often appear to be ad hoc, with little or no effort made to take into account properties of execu…

Numerical analysis of fluid estimation for source terms in neutral particles simulation
Zhirui Tang, Emil L{\o}vbak, Julian Koellermeier, Giovanni Samaey
https://arxiv.org/abs/2509.11883

Numerical analysis of fluid estimation for source terms in neutral particles simulation
In plasma edge simulations, kinetic Monte Carlo (MC) is often used to simulate neutral particles and estimate source terms. For large-sized reactors, like ITER and DEMO, high particle collision rates lead to a substantial computational cost for such schemes. To address this challenge, an asymptotic-preserving kinetic-diffusion Monte Carlo (KDMC) simulation method and a corresponding fluid estimation technique have been proposed in the literature. In this work, we perform numerical analysis on t…

“The Colours of Pride: Queer Identities in Literature and Culture”
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updated: Friday, August 15, 2025 - 12:42pmfull name / name of organization: MELOW: The Society for…
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Quasi-difference-convexity: Modernization of Quasi-differentiable Optimization
Jong-Shi Pang, Yulin Peng
https://arxiv.org/abs/2507.12413 https://

Quasi-difference-convexity: Modernization of Quasi-differentiable Optimization
Quasi-differentiable functions were introduced by Pshenichnyi in a 1969 monograph written in Russian and translated in an English version in 1971. This class of nonsmooth functions was studied extensively in two decades since but has not received much attention in today's wide optimization literature. This regrettable omission is in spite of the fact that many functions in modern day applications of optimization can be shown to be quasi-differentiable. In essence, a quasi-differentiable functio…

Querying Climate Knowledge: Semantic Retrieval for Scientific Discovery
Mustapha Adamu, Qi Zhang, Huitong Pan, Longin Jan Latecki, Eduard C. Dragut
https://arxiv.org/abs/2509.10087

Querying Climate Knowledge: Semantic Retrieval for Scientific Discovery
The growing complexity and volume of climate science literature make it increasingly difficult for researchers to find relevant information across models, datasets, regions, and variables. This paper introduces a domain-specific Knowledge Graph (KG) built from climate publications and broader scientific texts, aimed at improving how climate knowledge is accessed and used. Unlike keyword based search, our KG supports structured, semantic queries that help researchers discover precise connections…

[2025-07-17 Thu (UTC), no new articles found for cs.GL General Literature]
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A Latent Factor Panel Approach to Spatiotemporal Causal Inference
Jiaxi Wu, Alexander Franks
https://arxiv.org/abs/2509.10974 https://arxiv.org/pdf/2509.10…

A Latent Factor Panel Approach to Spatiotemporal Causal Inference
Unmeasured confounding can severely bias causal effect estimates from spatiotemporal observational data, especially when the confounders do not vary smoothly in time and space. In this work, we develop a method for addressing unmeasured confounding in spatiotemporal contexts by building on models from the panel data literature and methods in multivariate causal inference. Our method is based on a factor confounding assumption, which posits that effects of unmeasured confounders on exposures and…

Planet LangLit 2026: International Conference on Language, Literature and Cultural Studies
https://ift.tt/DAT2dQh
updated: Friday, August 15, 2025 - 12:54pmfull name / name of organization: Mohammad Rahmatullah…
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LP Relaxations for Routing and Wavelength Assignment with Partial Path Protection: Formulations and Computations
Xianyan Yang, Junyan Liu, Fan Zhang, Fabo Sun, Feng Li, Zhou Xu
https://arxiv.org/abs/2506.12838

LP Relaxations for Routing and Wavelength Assignment with Partial Path Protection: Formulations and Computations
As a variant of the routing and wavelength assignment problem (RWAP), the RWAP with partial path protection (RWAP-PPP) designs a reliable optical-fiber network for telecommunications. It assigns paths and wavelengths to meet communication requests, not only in normal working situations but also in potential failure cases where an optical link fails. The literature lacks efficient relaxations to produce tight lower bounds on the optimal objective value of the RWAP-PPP. Consequently, the solution…

Code-Switching in End-to-End Automatic Speech Recognition: A Systematic Literature Review
Maha Tufail Agro, Atharva Kulkarni, Karima Kadaoui, Zeerak Talat, Hanan Aldarmaki
https://arxiv.org/abs/2507.07741

Code-Switching in End-to-End Automatic Speech Recognition: A Systematic Literature Review
Motivated by a growing research interest into automatic speech recognition (ASR), and the growing body of work for languages in which code-switching (CS) often occurs, we present a systematic literature review of code-switching in end-to-end ASR models. We collect and manually annotate papers published in peer reviewed venues. We document the languages considered, datasets, metrics, model choices, and performance, and present a discussion of challenges in end-to-end ASR for code-switching. Our …

[2025-07-16 Wed (UTC), no new articles found for cs.GL General Literature]
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Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors
Kun Fan, Srijana Subedi, Vishmi Ridmika Dissanayake Pathiranage, Cen Wu
https://arxiv.org/abs/2507.10975

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors
Frequentist robust variable selection has been extensively investigated in high-dimensional regression. Despite success, developing the corresponding statistical inference procedures remains a challenging task. Recently, tackling this challenge from a Bayesian perspective has received much attention, as fully Bayesian analysis yields Bayesian credible intervals whose validity can be directly assessed on finite samples. In literature, the two-group spike-and-slab priors that can induce exact spa…

Hegel and Literature
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updated: Tuesday, June 17, 2025 - 9:35amfull name / name of organization: Northeast Modern Language…
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[2025-09-17 Wed (UTC), no new articles found for cs.GL General Literature]
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Fascism and Literature
https://ift.tt/anJLxkN
updated: Tuesday, June 17, 2025 - 9:41amfull name / name of organization: PAMLAcontact…
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Fascism and Literature
https://ift.tt/anJLxkN
updated: Tuesday, June 17, 2025 - 9:41amfull name / name of organization: PAMLAcontact…
via Input 4 RELCFP https://ift.tt/…

[2025-09-16 Tue (UTC), no new articles found for cs.GL General Literature]
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NeMLA 2026: World Literature and Cultural Globalization (Roundtable/Virtual)
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updated: Tuesday, June 17, 2025 - 9:40amfull name / name of organization: Northeast Modern Language…
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Home Sweet HOMES: Literature, Art, and People of the Great Lakes (book chapters)
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updated: Tuesday, June 17, 2025 - 8:35amfull name / name of organization: Rhonda…
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Call for Proposals for a Special Issue of Texas Studies in Literature and Language (TSLL)
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updated: Thursday, July 17, 2025 - 10:54amfull name / name of organization: Texas Studies in…
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Call for Proposals for a Special Issue of Texas Studies in Literature and Language (TSLL)
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updated: Thursday, July 17, 2025 - 10:54amfull name / name of organization: Texas Studies in…
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11th International Conference on Language, Literature & Culture (Batman University, Çankaya University, Prešov University, Toruń Nicolaus Copernicus University) Keynote Speakers: Prof. Hywel Dix, Bournemouth University and Prof. Adelheid Rundholz, JCSU
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updated: Monday, June 16, 20…

SAMLA 2025 panel: "“To Be or Not To Be… a Man”: Reading Masculinities in Literature and Culture"
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updated: Thursday, July 17, 2025 - 10:26amfull name / name of organization: South Atlantic Modern…
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Poetics of Embedded Narratives and Images in the Literature and Arts of the English-speaking World: Moving Borders
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updated: Tuesday, June 17, 2025 - 9:40amfull name / name of organization: University of Pau…
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Research Awards - 2025 Canadian Friends of Sufi Arts, Culture, and Knowledge (CFSACK)
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University of Alaska - Fairbanks - Alaska & Polar Regions Area Studies Bibliographer & Curator of…
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Research Awards - 2025 Canadian Friends of Sufi Arts, Culture, and Knowledge (CFSACK)
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University of Alaska - Fairbanks - Alaska & Polar Regions Area Studies Bibliographer & Curator of…
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ACLA 2026: Renegotiating Ethics in Literature and Film #acrel https://call-for-papers.sas.upenn.edu/cfp/2025/09/09/acla-2026-renegotiating-ethi…