Ecosystems

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10 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 69

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The Nixtlaverse: An Open-Source Ecosystem for Forecasting
Sep 30, 2026Olivier Sprangers, Max Mergenthaler Canseco, Marco Peixeiro +8Data-Driven Forecasting Open-Source
Nixtla, San Francisco, CA, United States
Shaping Persistent Representations from Independent Interactions
Sep 28, 2026Ji Dai, Quan Fang, Junyu Gao +4Transition Learning In-Context Learning
Beijing University of Posts and Telecommunications · Institute of Automation, Chinese Academy of Sciences · Shenzhen University +1
Working with Agentic `Teammates': When a New Organizational Actor Collides with the Human Ecosystem of Work
Sep 24, 2026Rida Qadri, Remi Denton, Michael Madaio +13Human-Ai Collaboration Negotiation
Google Research, USA · Google DeepMind, USA · Google DeepMind, Switzerland +2
Active Learning for Biodiversity Monitoring: From Label Efficiency to Reliable Ecological Inference
Sep 23, 2026Ben McEwen, Shiqi Zhang, Dan StowellBiodiversity Monitoring Active Learning
Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, the Netherlands · Faculty of Information Technology and Communication Sciences, Tampere University, Finland · Leiden Institute of Advanced Computer Science, Leiden University, The Netherlands +1
PermuFormer: Multi-Task Pretraining for Permutation Representation in Algebraic Combinatorics
Sep 21, 2026Henry KvingePretraining Permutation
Pacific Northwest National Laboratory · University of Washington
PaperDoctor: Evidence-Grounded and Actionable Feedback for Scientific Papers in Progress
Sep 15, 2026Kevin Qinghong Lin, Siyuan Hu, Pan Lu +14Peer Review Reviewer
University of Oxford · 3National University of Singapore · 2Stanford University +3
Accelerating Transfer-Learning-Based Autotuning with Predictive LLVM IR Performance Ranking
Sep 14, 2026Md Arafat Hossain, Thomas Randall, Akash Dutta +3High-Performance Computing Code Optimization
School of Computing Clemson University Clemson, South Carolina, USA · MCS Argonne National Laboratory Lemont, Illinois, USA
A Dominant Supplier Slows Recursive Drift More Than It Steers It
Sep 10, 2026Yangze Liu, Zhongyi HanCollapse Ecosystems
Shandong University
Translation Indeterminacy and the Distributional Fallacy
Sep 7, 2026Michael CarlCross-Lingual Consistency Large Language Models Fail
Kent State University Modern and Classical Language Studies
The Emerging AI Paper-Review Arms Race: Adversarial Co-Evolution in Scholarly Publishing
Sep 7, 2026Chenguang Wang, Ming Li, Adebayo Braimah +6Journal Artificial Intelligence Research
Virginia Tech · University of Maryland · Stony Brook University +1
Transferable Above-Ground Biomass (AGB) Estimation Model from Multi-Sensor Data with Sparse Field Calibration
Aug 12, 2026Pann Thinzar Seint, Bryan Atwood, Subas ChhatkuliBiomass Forests
DAI Labs, K.K.
Not a Monolith: Lab-Level Divergence in the Cooperative Equilibria of Chinese Frontier LLM Agents
Aug 10, 2026Francisco León Zúñiga BolívarFrontier Large Language Model Agents Frontier Models
Institución Universitaria Colegio Mayor del Cauca · Popayán, Colombia
Eco-SoC: A Sustainable VLSI Architecture for Energy-Proportional Artificial Intelligence
Aug 9, 2026Jatin ChopraArtificial Intelligence Lifecycle Artificial Intelligence Infrastructure
Microsoft Corporation, USA · Indian Institute of Technology Delhi, India
Toward a Causal Data Management Ecosystem for Decision Making and Agentic AI
Aug 7, 2026Dazhuo Qiu, Yingli Zhou, Amedeo Pachera +2Causal Reasoning Ecosystems
Lyon 1 University, CNRS Liris Lyon, France
EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning
Aug 6, 2026Zishan Xu, Zhiyuan Yao, Yuxin Chen +9Agentic Reinforcement Learning Large Language Model Agents
Shanghai Jiao Tong University · Zhejiang University · National University of Singapore +4
The Price of Isolation: Estimating the Ecosystem Cost of Symmetric Two-Sided A/B Testing
Aug 5, 2026Yuanyuan Shen, Yiren Yan, Wenjie Li +1Cost-Aware Controlled Study
Snap Inc. New York, NY, USA · Snap Inc. Palo Alto, CA, USA
Expected Survival-Time Bounds for Robust Optimization Over Time under Isotropic Gaussian Dynamics
Jul 29, 2026Pavel Novoa-HernándezRobust Optimization Time-Varying Systems
Dept. Computer Engineering and Systems Universidad de La Laguna Spain
Eco3S: Complex Socio-Economic System Simulation via Agent-Based Models
Jul 29, 2026Shaopeng Wei, Yufei Cheng, Wenxi Sun +3Agent-Based Model Ecosystems
School of Business, Guangxi University, Nanning 530004, China · School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu 611130, China · Information Media Center, Hiroshima University, Hiroshima 739-8511, Japan +1
Learning Implicit Causal World Models from Multi-Agent Demonstrations
Jul 28, 2026Jasorsi GhoshEfficient World-Action Model Model-Based Reinforcement Learning
Department of Computer Science Purdue University West Lafayette, Indiana, USA
PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling
Jul 22, 2026Shiyuan Luo, Runlong Yu, Chonghao Qiu +6Physics-Informed Learning Probabilistic Basin-Scale Runoff Lstms
University of Pittsburgh · University of Alabama · University of Minnesota +3
The Open Ant: A Robot Platform for Reinforcement Learning Research
Jul 20, 2026Elena Sorina Lupu, Patrick Spieler, Khurram Javed +4Simulation-Based Reinforcement Learning Ecosystems
Openmind Research Institute, Canada · Keen Technologies · Department of Computing Science, University of Alberta, Canada
OrDA: Orthogonal Disentanglement of Access Habits Framework for Homepage Marketing Block Recommendations
Jul 15, 2026Lingxiao Zhang, Xiaobo Li, Tao XuAds Private Signals
Ant Group · Hangzhou, Zhejiang, China
Open-Source Intelligence and Music Information Retrieval for Geographic Attribution of Musical Affect and the Ecological Limits of Population Inference
Jul 14, 2026Mohammadreza RashidiPopulations Ecosystems
Department of Computer Science AI and Media Analysis Lab Berlin, Germany
AI-integrated models for assessing agricultural resilience
Jul 8, 2026Joshua R. Waite, Dana Golden, Brett Indelicato +8Supply Chain Optimization Resilience
Translational AI Center, Iowa State University, Ames, IA, USA. · Department of Economics, Stony Brook University, Stony Brook, NY, USA. · Department of Food and Resource Economics, University of Florida, Gainesville, FL, USA. +4
A framework for single and multi-agent human-AI curiosity ecosystems
Jul 7, 2026Ilya E. MonosovEcosystems
Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD, USA · Departments of Biomedical Engineering, Electrical and Computer Engineering, and Psychiatry, Johns Hopkins University, Baltimore, MD, USA · Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD, USA +1
Adoption and Ecosystem Health: A Longitudinal Analysis of Open-Source Multi-Agent Frameworks
Jul 2, 2026Xi Zhang, Papi Menon, Vivian Chu +1Adoption Open-Source
Cisco Systems · Indiana University
ECoSim: Data Efficient Fine-Tuning for Controllable Traffic Simulation
Jul 1, 2026Yu-Hsiang Chen, Wei-Jer Chang, Yi-Ting Chen +1Microscopic Traffic Simulations Autonomous Driving Simulation
National Yang Ming Chiao Tung University, Taiwan · University of California, Berkeley, USA
FLARE-AI: Flaw Reporting for AI
Jun 30, 2026Shayne Longpre, Elaine Zhu, Carson Ezell +15Artificial Intelligence Risk Bug Detection
Massachusetts Institute of Technology · Northeastern University · Harvard University +9
From Tool Connection to Execution Control: Benchmarking Security Invariants in MCP-Style Agent Runtimes
Jun 27, 2026Ting LiuModel Context Protocol Runtime Enforcement
SymbolicLight Research Foshan, Guangdong, China
Govern the Repository, Not the Agent: Measuring Ecosystem-Level Risk in AI-Native Software
Jun 26, 2026Daniel RussoRepository-Level Code Understanding Codebases
Department of Computer Science Aalborg University, Copenhagen, Denmark
Explainable AI for Biodiversity Monitoring and Ecological Image Analysis
Jun 26, 2026Brinnae Bent, Holly R. Houliston, Jiayi Zhou +2Biodiversity Monitoring Explainable Artificial Intelligence
Pratt School of Engineering, Duke University · British Antarctic Survey · Department of Applied Mathematics and Theoretical Physics, University of Cambridge +1
Conceptual Design of an Ecosystem for Real Farm Data Collection toward Agricultural AI Foundation Models
Jun 22, 2026Junsei Tanaka, Yoshihiro SatoAgricultural Robotics Ecosystems
Kyoto University of Advanced Science
Sparse Point-Guided Fusion of Supervised and Self-Supervised Learning Model for Seaweed Segmentation
Jun 19, 2026Tatsuya Suzuki, Kazuya Ijuin, Hideki Tomimori +2Coral Self-Supervised Learning
Fujitsu Limited Kawasaki, Japan
EnvRL: Learn from Environment Dynamics in Agentic Reinforcement Learning
Jun 16, 2026Zhitong Wang, Songze Li, Hao Peng +4Agentic Reinforcement Learning Long-Horizon Agents
Department of Computer Science and Technology, Tsinghua University · Shanghai AI Laboratory
Mind-Studio: Executable World Models with Lookahead Evaluation for Partially Observable Games
Jun 14, 2026Yifei Dong, Mingen Zheng, Linquan Wu +2World Models Synthetic Environments
Hong Kong University of Science and Technology · City University of Hong Kong · University of Edinburgh +1
Decoding Insect Song: A Multitask Semisupervised Orthoptera Bioacoustic Classifier
Jun 11, 2026Olga Isupova, Danil Kuzin, Ella Browning +2Passive Acoustic Monitoring Species Identification
Leverhulme Centre for Nature Recovery, School of Geography and the Environment, University of Oxford, Oxford, UK
Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application
Jun 10, 2026Jiachun Li, Zhuoran Jin, Tianyi Men +12Synthetic Environments Ecosystems
Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100191, China
A Comprehensive Ecosystem for Open-Domain Customized Video Generation
Jun 10, 2026Jingxu Zhang, Yuqian Hong, Daneul Kim +6Video Generation Diffusion Transformers
University of Science and Technology of China · 2Microsoft Research Asia · *Work done during internship at Microsoft Research Asia. +1
Position: AI Must Become Planet-Centered, Not Just Human-Centered
Jun 9, 2026Maria Perez-OrtizArtificial Intelligence Systems Ecosystems
Centre for AI, Department of Computer Science, University College London, London, UK.
DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarios
Jun 5, 2026Tongzhou Yu, Mingjia Li, Hong Qian +6Creativity Debate
Nanjing University Nanjing, China · Shanghai Innovation Institute Shanghai, China · East China Normal University Shanghai, China
Finding Needles in the Haystack: Transductive Active Labeling in Ecology
Jun 2, 2026Rupa Kurinchi-Vendhan, Sara BeeryActive Learning Transductive Learning
Massachusetts Institute of Technology, Cambridge MA 02139, USA
FAIR^2 Drones: An AI-Ready Standard for Cross-Domain Wildlife Drone Datasets
May 29, 2026Jenna Kline, Kilian Meier, Vandita Shukla +14Autonomous Drones Aerial Dataset
The Ohio State University, Department of Computer Science and Engineering, Columbus, OH, USA · School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, United Kingdom · 33D Optical Metrology (3DOM), Fondazione Bruno Kessler (FBK), Trento, Italy +7
Technical Report: Exploring the Emerging Threats of the Agent Skill Ecosystem
May 27, 2026Luca Beurer-Kellner, Aleksei Kudrinskii, Marco Milanta +3Malicious Agents Reusable Agent Skills
1Snyk
The Illusion of Opting in AI-Mediated Consequential Decisions
May 27, 2026Eugene Yu JiEthics Illusions
University of Waterloo · Mila – Quebec AI Institute
A novel ordinal multi-view aggregation scheme for oak defoliation
May 27, 2026Francisco Bérchez-Moreno, Ricardo Enrique Hernández-Lambraño, David Guijo-Rubio +4Forest Biomass Leaf Disease Classification
Departamento de Ciencia de la Computación e Inteligencia Artificial, Universidad de Córdoba, Campus Universitario de Rabanales, Edificio Albert Einstein. Ctra. N-IV, Km. 396, Córdoba, 14071, Andalucía, Spain · Department of Forest Engineering, Laboratory of Dendrochronology, Silviculture and Global Change – DendrodatLab, Universidad de Córdoba, Campus Universitario de Rabanales. Ctra. N-IV, Km. 396, Córdoba, 14071, Andalucía, Spain · Departamento de Teoría de la Señal y Comunicaciones, Universidad de Alcala, Escuela Politécnica. Campus Universitario. Ctra. Madrid-Barcelona, Km. 33,600, Madrid, 28805, Madrid, Spain +1
ForestHG-Trace: Traceable Long-Horizon Ecological Reasoning over Large-Scale Forest Scenes
May 26, 2026Zihang Cheng, Duanchu Wang, Cheng Li +3Ecosystems Long-Horizon Task Planning
Xi’an Jiaotong University · Xidian University · Zhejiang University
BIRDS: Characterizing and Understanding Biodiversity Impact of Large Language Model Serving
May 26, 2026Tianyao Shi, Yi DingLarge Language Model Serving Biodiversity Monitoring
Purdue University
Symbolic Reasoning Frameworks Trigger Memory-Mediated Ecosystem Dynamics in Multi-Agent LLM Systems
May 22, 2026Augustin ChanMulti-Agent Large Language Model Systems Strategic Agents
CultivAgents: Cultivating Relationship-Centered Multi-Agent Systems for Personalized Gardening
May 22, 2026Yiyang Wang, Moeiini Reilly, Britney Johnson +3Ecosystems Precision Agriculture
Georgia Institute of Technology Atlanta, Georgia, USA · Massachusetts Institute of Technology Cambridge, Massachusetts, USA
Emergence of agriculture in an artificial society of reinforcement learning agents
May 21, 2026Gautier Hamon, Martí Sánchez-Fibla, Clément Moulin-Frier +1Emergence Ecosystems
Flowers AI and CogSci lab, Inria, Université de Bordeaux, France · Department of Information and Communications Technologies, Universitat Pompeu Fabra, 08018, Barcelona, Spain · Artificial Intelligence Research Institute, IIIA (CSIC), Campus de la UAB, Bellaterra, Barcelona, 08193, Spain +4
CoarseSoundNet: Building a reliable model for ecological soundscape analysis
May 20, 2026Alexander Gebhard, Andreas Triantafyllopoulos, Dominik Arend +4Passive Acoustic Monitoring Coarse
TUM University Hospital, CHI – Chair of Health Informatics, Ismaninger Str.2026 22, Munich, 81675, Bavaria, Germany · MCML – Munich Center for Machine Learning, Munich, Bavaria, Germany · University of Freiburg, Faculty of Biology, Geobotany, Schaenzlestr. 1, Freiburg, 79104, Baden-Württemberg, Germany +1
FLUXtrapolation: A benchmark on extrapolating ecosystem fluxes
May 19, 2026Anya Fries, Jacob A Nelson, Martin Jung +2Extrapolation Ecosystems
Seminar for Statistics, ETH Zürich Zürich, Switzerland · Max Planck Institute for Biogeochemistry Jena, Germany
Trustworthy Agent Network: Trust in Agent Networks Must Be Baked In, Not Bolted On
May 18, 2026Yixiang Yao, Yuhang Yao, Xinyi Fan +5Model-Based Multi-Agent Systems Trustworthy Artificial Intelligence
University of Southern California · Carnegie Mellon University · University of Illinois Urbana-Champaign
KISS - Knowledge Infrastructure for Scientific Simulation: A Scaffolding for Agentic Earth Science
May 18, 2026Ziwei Li, Liujun Zhu, Yuchen Liu +5Scientific Discovery Ecosystems
State Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China · Yangtze Institute for Conservation and Development, Hohai University, Nanjing 210098, China · Meta Platforms Inc. +3
Designing for Robot Wranglers: A Synthesis of Literature and Practice
May 15, 2026David Porfirio, Ian McDermott, Hsin-Mei Chen +3Human-Robot Interaction Robot Systems
Computer Science Department George Mason University Fairfax, VA, USA · Department of Computer Science/Department of Art University of Maryland College Park, MA, USA · Houston Methodist Houston, TX, USA +3
ChronoEarth-492K: A Large Scale and Long Horizon Spatiotemporal Hyperspectral Earth Observation Dataset and Benchmark
May 15, 2026Haozhe Si, Yuxuan Wan, Yuqing Wang +2Hyperspectral Image Spatiotemporal Representations
Department of Electrical and Computer Engineering · Siebel School of Computing and Data Science University of Illinois Urbana-Champaign, IL, USA
From Data to Action: Accelerating Refinery Optimization with AI
May 14, 2026Dániel Pfeifer, Ábrahám Papp, Tibor Bernáth +4Linear Programming Optimization Modeling
aBudapest University of Technology and Economics, Műegyetem rkp. 3., Budapest, 1111, Hungary · bMOL Group, Dombóvári út 28., Budapest, 1117, Hungary
Asymptotically Optimal Ergodic Coverage on Generalized Motion Fields
May 13, 2026Christian Hughes, Yilang Liu, Yanis Lahrach +6Long-Run Coverage Guarantees Autonomous Underwater Vehicles
Yale University · Université Catholique de Louvain · Rutgers University +2
E = T*H/(O+B): A Dimensionless Control Parameter for Mixture-of-Experts Ecology
May 7, 2026Qingjun ZhangMixture-Of-Experts Ecosystems
School of Integrated Circuits, Wuxi Taihu University Department of Communication Engineering · Department of Communication Engineering
The Refusal--Compliance Tradeoff: A Large-Scale Safety Behavior Audit of Large Language Models
May 6, 2026Alif Al Hasan, Sumon BiswasLarge Language Model Safety Refusals
Department of Computer and Data Sciences Case Western Reserve University Cleveland, OH, USA

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The Nixtlaverse: An Open-Source Ecosystem for Forecasting

Olivier Sprangers, Max Mergenthaler Canseco, Marco Peixeiro, Saul Caballero Ramirez+7

Nixtla, San Francisco, CA, United States

Data-Driven Forecasting Open-Source Ecosystems

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Large forecasting applications often combine statistical, machine-learning, and neural models. These families solve the same problem but differ in fitted state, training procedures, and how they parallelize work. Forecasting software must therefore either hide these differences behind a single estimator interface, or keep the families in separate packages, forcing users to rewrite data preparation and evaluation for every package. We present the Nixtlaverse, an ecosystem of open-source Python libraries for time series forecasting, as a case study of a third design: all libraries share the same long-format panel data and keyed forecast outputs, while every model family keeps its own specialized implementation. We demonstrate this design through three use cases on the public M5 competition data. First, we evaluate statistical, machine-learning, and neural models, and an external engine from a separate ecosystem, in a single rolling-origin evaluation with per-series and hierarchy-weighted metrics. Second, we profile runtime and peak memory from 100 to 30,490 series and locate each family's bottleneck: statistical fitting scales approximately linearly in the number of series, feature construction dominates machine-learning memory, and neural training time is nearly independent of panel size under a fixed training budget. Third, we reconcile the forecasts of multiple engines, including the external one, over all 42,840 series of the M5 hierarchy, with sparse reconciliation where dense implementations exhausted memory. These use cases establish the costs, boundaries, and utility of shared data and output contracts. The Nixtlaverse has seen substantial public distribution, scholarly reuse, and adoption through other forecasting frameworks, and is released under permissive open-source licenses with public datasets, reproducible examples, and verifiable benchmark artifacts.

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