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org perpetual non-exclusive license arXiv:2407
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Very Large-Scale Multi-Agent Simulation in AgentScope

https://arxiv.org/html/2407.17789v2
org perpetual non-exclusive license arXiv:2407

Artificial Intelligence

https://arxiv.org/list/cs.AI/new
Extending the pattern-generation paradigm of Neural Cellular Automata (NCA), it navigates the degenerate Boolean search space to satisfy a computational task, rather than regenerating a fixed target state

Asking Questions the Right Way: A Multi-Agent Conversational System for

https://arxiv.org/html/2608.01366v2
org perpetual non-exclusive license arXiv:2608

AgentScope 1.0: A Developer-Centric Framework for Building Agentic

https://arxiv.org/html/2508.16279v1
org perpetual non-exclusive license arXiv:2508

Looking under the Wrong Lamppost: On the Limitations of Automated

https://arxiv.org/html/2608.03577v1
org/standards/popular/iso-9000-family specifically ISO 9001:2015 Applying the same logic to translation production workflows means that MT and AI must be incorporated sensibly to achieve manufacturing-grade reliability, risk guarantees, and robustness

Cryptography and Security

https://arxiv.org/list/cs.CR/new
fewer | more | all New submissions (showing 32 of 32 entries) [1] arXiv:2608

Report GitHub Issue

https://arxiv.org/html/2608.02975v1
com Abstract Large language models (LLMs) have demonstrated impressive performance in MQM-based translation quality (TQ) evaluation, and recent advances in large reasoning models (LRMs) promise even greater improvements

The Last Costly Signal: How Generative AI Collapses Competence Signaling

https://arxiv.org/html/2607.26327v3
contractual remedy; and with liability insurance, the signal-effective quantity is not the damages promised but the risk the seller retains or is individually priced on—under pooled premiums a warranty separates only if the deductible satisfies the original condition, while experience rating restores it slowly

Mathematical Finance

https://arxiv.org/list/q-fin.MF/new
New submissions (showing 4 of 4 entries) [1] arXiv:2608

[2607.28847v1] Effort-Centric Fairness in Lending Decisions

https://arxiv.org/abs/2607.28847v1
We develop an effort-centric framework that measures an applicant's effort as the minimum weighted cost of feasible changes required to cross the approval boundary

Economics

https://arxiv.org/list/econ/new
up to 2000 entries per page: fewer | more | all New submissions (showing 21 of 21 entries) [1] arXiv:2608

Computer Vision and Pattern Recognition

https://arxiv.org/list/cs.CV/new
Project Page: this https URL [2] arXiv:2608

Report GitHub Issue

https://arxiv.org/html/2608.03372v1
org  GitHub sourcecontextcandidatememoryalign claimscontent-word overlapseven checkspolarity ⋅\cdot condition ⋅\cdot temporalhedge ⋅\cdot attributionbrittle ⋅\cdot truncatedflagsevidence + citationverdict policyhard-codedpasspass_w_flagsrewriterejectuncheckablenever a passwitness (optional)one sentence, one

1 Introduction

https://arxiv.org/html/2506.01844v1
However, existing VLAs are typically massive–often with billions of parameters–leading to high training costs and limited real-world deployability

Software Engineering

https://arxiv.org/list/cs.SE/new
Through an analysis of 1,966 open source projects, 1,355 Github issues, 444 CVE reports, and 361 StackOverflow posts, we systematically map the feature support and real-world usage of globs across six common ecosystems that utilize globs

arXiv is now an independent nonprofit! Learn more ×

https://arxiv.org/html/2401.02063v2
org that the field of high-frequency GWs will go from the discovery of the first stellar-mass binary black hole merger in 2015 [9]

Effort-Centric Fairness in Lending Decisions

https://arxiv.org/html/2607.28847v1
4 Positioning and Contribution 3 The Effort-Centric Fairness Framework 3

Computer Science and Game Theory

https://arxiv.org/list/cs.GT/new
page: fewer | more | all New submissions (showing 6 of 6 entries) [1] arXiv:2608

Distributed Instruments for Planetary Surface Science: Scientific

https://arxiv.org/html/2407.01757v1
Opportunities and Technology Feasibility 1 Introduction 1.1 What is a distributed instrument? 1.1.1 Distributed Instruments and Sensor Networks 1.1.2 Distributed Instruments and Swarms 1.2 Contribution and Organization 2 State of the Art

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https://arxiv.org/pdf/2006.02318
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https://arxiv.org/pdf/2508.11152
com three Proceedings of ACM Conference (Conference'17) book 1 1 9 9 Tianjiao ZhaoJingrao LyuStokes JonesHarrison GarberStefano PasqualiDhagash Mehtahttp://arxiv

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https://arxiv.org/pdf/2609.18842
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https://arxiv.org/pdf/2608.02694
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https://arxiv.org/pdf/2506.01844
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient RoboticsMustafa ShukorDana AubakirovaFrancesco CapuanoPepijn KooijmansSteven PalmaAdil ZouitineMichel AractingiCaroline PascalMartino RussiAndres MarafiotiSimon

Numerical Analysis

https://arxiv.org/list/cs.NA/new
all New submissions (showing 18 of 18 entries) [1] arXiv:2608

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https://arxiv.org/src/1910.03771
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https://arxiv.org/pdf/2608.02872
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https://arxiv.org/pdf/2006.00064
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https://arxiv.org/pdf/2608.03494
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https://arxiv.org/src/2006.00064
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