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End-to-End Intracortical Speech Decoding from Neural Activity ChainzRule: Sample-Efficient, Robust Deep Learning Across Tabular, NLP, and Vision Tasks Translators as Invisible Teachers of AI: Copyright, Translation Memory, and the Political Economy of Linguistic Data Word Class Representations Spontaneously Emerge from Successor Representations Trained on Natural Language Zeroth-Order Nonconvex Nonsmooth Optimization with Heavy-Tailed Noise LLMTabBench: Evaluating LLMs on Binary Tabular Classification From Zero to Few Shots Phonetic Modeling of Dialectal Variation in Vietnamese Speech H$^{2}$MT: Semantic Hierarchy-Aware Hierarchical Memory Transformer When Reasoning Hurts: Source-Aware Evaluation of Frontier LLMs for Clinical SOAP Note Generation Structure-Aware RAG: Structured Retrieval Augmented Generation from Noisy Data for Conversational Agents Learning Laplacian Eigenspace with Mass-Aware Neural Operators on Point Clouds RL with Learnable Textual Feedback: A Bilevel Approach MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding Refined Analysis of Entropy-Regularized Actor-Critic CP-Agent: A Calibrated Risk-Controlled Agent for Feedback-Driven Competitive Programming Measuring the Depth of LLM Unlearning via Activation Patching Distinguishing Right from Wrong in Debates: Attribution Analysis of Chinese Harmful Memes Towards a Universal Causal Reasoner ChaosBench-Logic v2: Evaluating LLM Logical Reasoning over Dynamical Systems at Scale Private Adaptive Covariance Estimation via Gaussian Graphical Models Repeated Sequences Reveal Gaps between Large Language Models and Natural Language Grammatically-Guided Sparse Attention for Efficient and Interpretable Transformers Momentum Streams for Optimizer-Inspired Transformers ChainLearn: A Blockchain-Based Capacity-Aware Framework for Federated Ensemble Learning Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth Lake Detection and Water Quality Estimation in Sentinel-2 Data PILOT: Policy-Informed Learned Optimization for Adaptive Deep Network Training Deep ZakaiJ: Structured Filtering for Jump-Diffusion Time Series Forecasting The Normalized Maximum Likelihood for Regular Non-Smooth Models: Measure-Theoretic Foundations and Geometric Sampling Generative OOD-regularized Model-based Policy Optimization Temporal Concept Drift in Legal Judgment Prediction: Neural Baselines Across Three Epochs of Ukrainian Court Decisions Discovering Lexical Gaps Using Embeddings from Multilingual LLMs CSP-Atlas: Concept-Specific Neural Circuits in a Sparse Python Transformer The Tokenizer Tax Across 25 European Languages: Domain Invariance, Cross-Lingual Few-Shot Effects, and the Ukrainian Penalty The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models WhenLoss: Diagnosing Write and Retrieval Bottlenecks in Long-Context Memory Systems Side-by-side Comparison Amplifies Dialect Bias in Language Models A lift for input-convex neural network training Optimizing Digital Therapeutic Interventions: Online Learning under Endogenous Adherence Beyond the Target: From Imitation to Collaboration in Speculative Decoding TUBE: Tangent Upper Bound on Evidence for Discrete Diffusion Language Models Exploring Profiles of Cognitive Distortions Associated with Mental Health Disorders Large Language Model Selection with Limited Annotations Faithfulness as Information Flow: Evaluating and Training Faithful Chain-of-Thought Reasoning PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets How Much Structure Do LLMs Need? 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Building Digital Societies as Ecosystems: How Recognition and Repeat Relationships Sustain Cross-Community Work in Open Source
Lucia Gomez · 2026-05-26 · via cs updates on arXiv.org

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Abstract:We measure cross-boundary collaboration in an open-source software (OSS) ecosystem by reconstructing the bipartite contributor-repository graph of 464 cybersecurity projects and 11,372 contributors active over October 2001-May 2022 (Rawsec Cybersecurity Inventory). Louvain community detection identifies 163 non-singleton communities; per-community contributor count scales superlinearly with repository count (n_contributors ~ n_repos^1.4), and community formation follows a logistic trajectory saturating around 2018. Three patterns support a recognition/repeat-relationship account of cross-boundary work. First, cross-community work concentrates in a thin carrier layer: only nine canonical humans span seven or more communities at the commit level, authoring 14% of 4,015 inter-community merged pull requests; the top 50 cross-community contributors produce 54%. Second, boundary friction is a recognition cost, not a fixed boundary property: inter-community pull-request acceptance rises from 42% at breadth k=1 to 87% at k=5-9, with median latency compressing from 147 h to 49 h. Third, community survival is cohort-structured: per-cohort residualisation hazard rises an order of magnitude between pre-2010 and 2018 cohorts, and external community reach predicts survival mainly through size, leaving late cohorts under-served despite a stable carrier layer. The corpus predates mainstream LLM coding assistants; this baseline of carrier-layer thinness, friction gradient, and cohort hazard informs debates on social coding as a template for digital societies and on what AI-mediated OSS ecosystems should not optimise away.
Comments: 52 pages (main text + supplementary material), 5 main figures, 13 supplementary figures, 2 main tables. Submitted to EPJ Data Science. Data and code: this https URL
Subjects: Computers and Society (cs.CY); Social and Information Networks (cs.SI); Physics and Society (physics.soc-ph)
MSC classes: 91D30, 68M11, 62M10
ACM classes: H.5.3; K.6.3; J.4
Cite as: arXiv:2605.25055 [cs.CY]
  (or arXiv:2605.25055v1 [cs.CY] for this version)
  https://doi.org/10.48550/arXiv.2605.25055

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Thomas Maillart [view email]
[v1] Sun, 24 May 2026 13:04:24 UTC (4,127 KB)