Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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24,301 to 24,360 of 61,351

Full-bandwidth transformer
Xi Wang, Ziyang Cai, Zheng Zhan +5
cs.AIarXiv:2608.08888v12026
Business Arena: Benchmarking LLM Agents in a Realistic Marketplace
Yijun Pan, Yukun Lian, Kunyu Shi +5
cs.AIarXiv:2608.08621v12026
OpenThoughts: Data Recipes for Reasoning Models
Etash Guha, Ryan Marten, Sedrick Keh +47
cs.LGarXiv:2506.04178v22025
VectraYX-Vision-1B: A Sub-2B Spanish/LATAM Cybersecurity Vision-Language Model with Structured Visual Reasoning and Native Tool Use
Juan S. Santillana
cs.CLarXiv:2608.08477v12026
Direct Optimization of a 3D Finite-Source Reflector via Neural-Network Parameterization
Roel Hacking, Lisa Kusch, Martijn Anthonissen +1
physics.opticscs.LGarXiv:2609.00899v12026
VAANI Noise Event Dataset: A curated spontaneous speech dataset annotated with timestamps for noise events
Pavan Kumar J, Agneedh Basu, Pranav Bhat +3
eess.ASarXiv:2609.02474v12026
Vision-Language Grounding as Bidirectional Concept Correspondence
Jieyu Zhang, Ziqi Gao, Luke Zettlemoyer +1
cs.CVcs.AIcs.CLarXiv:2608.07886v12026
Ouroboros: A Self-Developing Frontier Coding Agent with Reviewed Core Evolution
Anton Razzhigaev, Andrei Gritsaev, Andrei Kaznacheev +3
cs.SEcs.AIarXiv:2608.08311v22026
Agent Memory Distillation: Empowering Small LLM Agents with Hierarchical Teacher Memory
Taeil Kim, Kangsan Kim, Sung Ju Hwang
cs.AIcs.LGarXiv:2608.07169v12026
YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family
Xu Lin, WenJie Nie, Jinlong Peng +4
cs.CVarXiv:2608.07051v12026
CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks
Fanzhe Meng, Guoxin Chen, Jiale Zhao +6
cs.LGcs.CLarXiv:2608.06352v12026
Kimi K3: Open Frontier Intelligence
Kimi Team, Tongtong Bai, Yifan Bai +399
cs.CLcs.LGarXiv:2607.24653v22026
EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video
Ryan Hoque, Peide Huang, David J. Yoon +2
cs.CVcs.LGcs.ROarXiv:2505.11709v32025
From Economic Agents to Agentic Economies: A Systems Blueprint for Economic World Models
Jiale Han, Xiang Li, Jing Qian +7
cs.AIcs.LGarXiv:2608.06020v12026
SkillZip: Contract-Preserving Graph Compression for Scalable Agent Skill Libraries
Xingyu Tan, Xiaoyang Wang, Qing Liu +4
cs.CLcs.AIarXiv:2608.05604v12026
Summaries:한국어
AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning
Zi-Han Wang, Zhengxi Lu, Zhiyuan Yao +10
cs.AIcs.LGarXiv:2608.05987v12026
StreamArena: Toward Continuous, Interactive, and Long-Horizon Agentic Streaming Video Understanding
Xichen Zhang, Guankai Li, Yinghao Zhu +6
cs.CVarXiv:2608.05703v12026
Recursive Synthesis for Long-Horizon Terminal Tasks
Zhongzhi Li, Yucheng Shi, Zongxia Li +8
cs.AIcs.LGarXiv:2608.05466v32026
BridgeVLA++: A Data-Efficient, Generalizable, and Memory-Augmented Vision-Language-Action Framework for 3D Manipulation
Peiyan Li, Yuze Zhu, Yixiang Chen +10
cs.ROarXiv:2608.05042v12026
Summaries:한국어
Sparse Channel Estimation and Hybrid Precoding Using Deep Learning for Millimeter Wave Massive MIMO
Wenyan Ma, Chenhao Qi, Zaichen Zhang +1
eess.SParXiv:2002.06380v12020
Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes
Junlin Han, Shengbang Tong, David Fan +4
cs.CVcs.LGcs.MMarXiv:2608.05000v22026
Gradient-Update Mismatch: Rethinking Conflict-Free Training of Physics-Informed Neural Networks
Jing Xiao, Xinhai Chen, Qinglin Wang +5
cs.LGarXiv:2609.01558v12026
Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning
Yinghui He, Ling Yang, Jiarui Liu +6
cs.CLcs.LGarXiv:2608.05139v12026
Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning
Kejian Zhu, Zhuoran Jin, Dongqi Huang +4
cs.CVarXiv:2608.03571v22026
GDPevo: Evaluating Agent Self-Evolution on Real Business Tasks
Leijun Zhou, Zhihao Liu, Xiang Qu +9
cs.AIarXiv:2608.03764v12026
PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents
Shuhan Xue, Zixin Ding, Yichen Shen +6
cs.CLarXiv:2608.04003v12026
Quo Vadis, World Modeling?
Yu Yang, Xuemeng Yang, Licheng Wen +17
cs.CVcs.AIcs.ROarXiv:2608.02713v12026
Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement
Yuqi Liu, Bohao Peng, Zhisheng Zhong +4
cs.CVcs.MMarXiv:2503.06520v32025
Data Movement Is All You Need: A Case Study on Optimizing Transformers
Andrei Ivanov, Nikoli Dryden, Tal Ben-Nun +2
cs.LGstat.MLarXiv:2007.00072v32020
RoMeRL: Balancing Feedback Coverage and the Memory-Reward Trap in Self-Evolving Agent Memory via Reduced-Order Utility States
Yi Yang, Zhennan Chen, Yihong Zhuang +5
cs.LGcs.CLarXiv:2608.02508v32026
DiffusionGemma Technical Report
DiffusionGemma Team, Adrien Ali Taïga, James Assiene +41
cs.CLcs.AIarXiv:2608.00146v12026
SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift
Sagar Lekhak, Prasanna Reddy Pulakurthi, Lalit Joshi +2
cs.CVarXiv:2607.28996v12026
Verbalizable Representations Form a Global Workspace in Language Models
Wes Gurnee, Nicholas Sofroniew, Adam Pearce +13
cs.CLcs.AIcs.LGarXiv:2607.15495v12026
Summaries:한국어
MPIE-Bench: Benchmarking Anatomically Plausible Multi-Person Interaction Editing
Jiajia Lin, Mingxuan Du, Tuowen Zhou +2
cs.CVarXiv:2607.27616v12026
Voice Memory for Agentic Speech Recognition
Chao-Han Huck Yang, Zih-Ching Chen, Piotr Zelasko +3
cs.CLcs.AIcs.SDarXiv:2607.26410v12026
Loop the Loopies!
Zitian Gao, Yilong Chen, Yihao Xiao +4
cs.CLcs.AIarXiv:2607.16051v22026
Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories
Xiaomi Robotics Team, Jun Guo, Piaopiao Jin +31
cs.ROcs.CVarXiv:2607.15330v22026
Summaries:한국어
OmniScope: Modality-Decoupled Token Compression for Omnimodal Large Language Models
Jinsen Su, Yongdong Luo, Yuexiao Ma +3
cs.CVarXiv:2607.23193v32026
RoboTTT: Context Scaling for Robot Policies
Yunfan Jiang, Yevgen Chebotar, Ruijie Zheng +8
cs.ROcs.AIcs.LGarXiv:2607.15275v12026
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
Huatong Song, Jinhao Jiang, Yingqian Min +5
cs.AIcs.CLcs.IRarXiv:2503.05592v22025
VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding
Xinhao Li, Yuhan Zhu, Xiangyu Zeng +24
cs.CVarXiv:2607.14935v12026
BadWAM: When World-Action Models Dream Right but Act Wrong
Qi Li, Xingyi Yang, Xinchao Wang
cs.LGcs.ROarXiv:2607.15207v12026
Summaries:한국어
LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget
Changhai Zhou, Kieran Liu, Yuhua Zhou +17
cs.LGcs.DCarXiv:2607.14952v12026
Self-Improvements in Modern Agentic Systems: A Survey
Zhe Ren, Yimeng Chen, Dandan Guo +9
cs.AIcs.CLcs.LGarXiv:2607.13104v12026
SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning
Jinyang Wu, Shuo Yang, Zhengxi Lu +8
cs.CLarXiv:2607.14777v12026
Summaries:한국어
Spurious Rewards: Rethinking Training Signals in RLVR
Rulin Shao, Shuyue Stella Li, Rui Xin +11
cs.AIcs.LGarXiv:2506.10947v22025
xHC: Expanded Hyper-Connections
Xiangdong Zhang, Xiaohan Qin, Sunan Zou +10
cs.LGcs.CLarXiv:2607.14530v12026
Summaries:한국어
DeepLoop: Depth Scaling for Looped Transformers
Shuzhen Li, Yifan Zhang, Jiacheng Guo +2
cs.LGcs.AIarXiv:2607.13491v22026
Multi-Agent LLMs Fail to Explore Each Other
Hyeong Kyu Choi, Jiatong Li, Wendi Li +2
cs.MAcs.AIarXiv:2607.11250v12026
Self in Space: Benchmarking Self-Awareness and Spatial Cognition in UAV Embodied Intelligence
Zhishan Zou, Guoyan Sun, Zhiwei Wei +4
cs.CVarXiv:2607.12477v22026
Tracing Agentic Failure from the Flow of Success
Samuel Yeh, Yiwen Zhu, Shaleen Deep +1
cs.AIcs.CLarXiv:2607.12747v12026
Adaptive Influence Maximization in Dynamic Social Networks
Guangmo Tong, Weili Wu, Shaojie Tang +1
cs.SIarXiv:1506.06294v12015
Contribution-Aware Bandwidth Allocation for Multimodal Split Learning
Iason Ofeidis, Leandros Tassiulas
cs.LGcs.DCcs.NIarXiv:2609.01406v12026
Rethinking the Evaluation of Harness Evolution for Agents
Yike Wang, Huaisheng Zhu, Zhengyu Hu +7
cs.AIarXiv:2607.12227v12026
DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment
Xinyu Geng, Xuanhua He, Sixiang Chen +7
cs.CLarXiv:2607.07820v12026
Summaries:한국어
EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments
Deyao Zhu, Xin Zhou, Shengling Qin +44
cs.CLcs.LGarXiv:2607.05155v12026
RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement
Kiwoo Shin, Youngwook Paul Kwon, Masayoshi Tomizuka
cs.CVarXiv:1811.03818v12018
Self-Forcing++: Towards Minute-Scale High-Quality Video Generation
Justin Cui, Jie Wu, Ming Li +6
cs.CVcs.AIarXiv:2510.02283v12025
TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training
Yuhang Zhou, Kai Zheng, Haoling Li +3
cs.AIcs.CLarXiv:2607.05804v12026
Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity
Loïc Cabannes, Pierre-Emmanuel Mazaré, Gergely Szilvasy +6
cs.LGarXiv:2607.07386v12026

Every paper with a summary

Full-bandwidth transformer

Business Arena: Benchmarking LLM Agents in a Realistic Marketplace

OpenThoughts: Data Recipes for Reasoning Models

VectraYX-Vision-1B: A Sub-2B Spanish/LATAM Cybersecurity Vision-Language Model with Structured Visual Reasoning and Native Tool Use

Direct Optimization of a 3D Finite-Source Reflector via Neural-Network Parameterization

VAANI Noise Event Dataset: A curated spontaneous speech dataset annotated with timestamps for noise events

Vision-Language Grounding as Bidirectional Concept Correspondence

Ouroboros: A Self-Developing Frontier Coding Agent with Reviewed Core Evolution

Agent Memory Distillation: Empowering Small LLM Agents with Hierarchical Teacher Memory

YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks

Kimi K3: Open Frontier Intelligence

EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video

From Economic Agents to Agentic Economies: A Systems Blueprint for Economic World Models

SkillZip: Contract-Preserving Graph Compression for Scalable Agent Skill Libraries

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning

StreamArena: Toward Continuous, Interactive, and Long-Horizon Agentic Streaming Video Understanding

Recursive Synthesis for Long-Horizon Terminal Tasks

BridgeVLA++: A Data-Efficient, Generalizable, and Memory-Augmented Vision-Language-Action Framework for 3D Manipulation

Sparse Channel Estimation and Hybrid Precoding Using Deep Learning for Millimeter Wave Massive MIMO

Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes

Gradient-Update Mismatch: Rethinking Conflict-Free Training of Physics-Informed Neural Networks

Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning

Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning

GDPevo: Evaluating Agent Self-Evolution on Real Business Tasks

PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents

Quo Vadis, World Modeling?

Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement

Data Movement Is All You Need: A Case Study on Optimizing Transformers

RoMeRL: Balancing Feedback Coverage and the Memory-Reward Trap in Self-Evolving Agent Memory via Reduced-Order Utility States

DiffusionGemma Technical Report

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift

Verbalizable Representations Form a Global Workspace in Language Models

MPIE-Bench: Benchmarking Anatomically Plausible Multi-Person Interaction Editing

Voice Memory for Agentic Speech Recognition

Loop the Loopies!

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories

OmniScope: Modality-Decoupled Token Compression for Omnimodal Large Language Models

RoboTTT: Context Scaling for Robot Policies

R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding

BadWAM: When World-Action Models Dream Right but Act Wrong

LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget

Self-Improvements in Modern Agentic Systems: A Survey

SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning

Spurious Rewards: Rethinking Training Signals in RLVR

xHC: Expanded Hyper-Connections

DeepLoop: Depth Scaling for Looped Transformers

Multi-Agent LLMs Fail to Explore Each Other

Self in Space: Benchmarking Self-Awareness and Spatial Cognition in UAV Embodied Intelligence

Tracing Agentic Failure from the Flow of Success

Adaptive Influence Maximization in Dynamic Social Networks

Contribution-Aware Bandwidth Allocation for Multimodal Split Learning

Rethinking the Evaluation of Harness Evolution for Agents

DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment

EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments

RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement

Self-Forcing++: Towards Minute-Scale High-Quality Video Generation

TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training

Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity