Check computer science papers: citations, claims and retractions

Are You Still the Agent I Authorized? Earned Authority under a Fixed Ceiling for Evolving Agents

Zhang, Z., & Zhang, X. (2026) · arXiv

Access Control and TrustDigital Rights Management and Security

Cited by 0

LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems

Xu, N., & Ma, X. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

A Role of Environmental Complexity on Representation Learning in Deep Reinforcement Learning Agents

Liu, A., & Borisyuk, A. (2024) · arXiv

Reinforcement Learning in RoboticsSpatial Cognition and Navigation

Cited by 0

Mem2ActBench: A Benchmark for Evaluating Long-Term Memory Utilization in Task-Oriented Autonomous Agents

Shen, Y., Li, K., Zhou, W., & Hu, S. (2026) · arXiv

Speech and dialogue systemsAI-based Problem Solving and Planning

Cited by 0

An immune world model for multiscale forecasting and therapeutic hypothesis generation

Cui, T., Wang, X., Li, Z., Ding, J., You, L., Xu, Y., Xu, W., Wu, F., Ying, K., Ouyang, W., et al. (2026) · arXiv

Artificial Immune Systems ApplicationsCancer Immunotherapy and Biomarkers

Cited by 0

Layered Convergence in Autonomous Agent Memory: A Multi-Model Cognitive Architecture for Persistent Recall in Long-Running LLM Agents

Harris, L. (2026) · SSRN (preprint)

AI-based Problem Solving and PlanningTopic Modeling

Cited by 0

Auto-Discovery-Bench: Diagnosing Structured State Tracking in Oracle-Guided Discovery

Chen, T., Lin, B., Anumasa, S., Shah, V., Yuan, Z., Zou, Q., Goyal, A., & Liu, D. (2025) · arXiv

Logic, Reasoning, and KnowledgeAI-based Problem Solving and Planning

Cited by 0

Do Coding Agents Need Executable World Models, Simplification, and Verification to Solve ARC-AGI-3?

Rodionov, S. (2026) · arXiv

Artificial Intelligence in GamesAI-based Problem Solving and Planning

Cited by 0

Structure, Agency, and Improvisation in Human-Led Digital Interactive Narrative Exercises

Fisher, M., Siler, M., & Ware, S. G. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Artificial Intelligence in GamesNarrative Theory and Analysis

Cited by 0

From Accountable Records to Observable Decision Processes: Provenance Requirements for Human-AI Decision Systems

Novik, D. (2026) · SSRN Electronic Journal

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 0

MemTrace: Probing What Final Accuracy Misses in Long-Term Memory

Long, X., Chen, Z., Zeng, S., Wang, S., Guo, K., & Tang, J. (2026) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 0

ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing

An, Y., Lu, C., Zhu, K., Yu, T., Zhao, C., Wu, H., Tang, M., & Wang, J. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

One-shot Entropy Minimization

Gao, Z., Chen, L., Luo, H., Zhou, J., & Dai, B. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback

Miao, C., Zou, H. P., Li, Y., Chen, Y., Wang, Y., Wang, F., Li, Y., Yang, W., He, B., Zhang, X., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0

SparseX: Efficient Segment-Level KV Cache Sharing for Interleaved LLM Serving

Zhang, Q., Chen, K., Liao, N., Lin, Z., Tang, B., Xiong, F., Li, Z., & Wang, X. (2026) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0

JEPA-Anything: Learning Predictive Models across Different Worlds

Cui, T., Wang, Z., Xu, X., Liu, W., Yu, Z., Zhang, Y., Gao, Q., Yang, M., Ouyang, W., Heng, P. A., et al. (2026) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 0

PrefillShare: A Shared Prefill Module for KV Reuse in Multi-LLM Disaggregated Serving

Woo, S., Kim, H., Shim, S., Jo, M., Jeong, H., Lee, J., Kim, J., Lee, S., Ryu, J., Park, B., et al. (2026) · arXiv

Natural Language Processing TechniquesParallel Computing and Optimization Techniques

Cited by 0

Measuring Collapse and Correction in Homogeneous-Panel LLM Debate

Li, X., Liu, M., & Yuen, C. (2026) · arXiv

Topic ModelingMulti-Agent Systems and Negotiation

Cited by 0

Computer Environments Elicit General Agentic Intelligence in LLMs

Cheng, D., Huang, S., Gu, Y., Song, H., Chen, G., Dong, L., Zhao, W. X., Wen, J.-R., & Wei, F. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling

Huang, H., Zhu, D., Wu, B., Zeng, Y., Wang, Y., Min, Q., & Zhou, X. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference System

Kang, H., Li, Z., Xu, W., Yang, X., Chen, Y., Wang, J., Chen, B., Krishna, T., Xu, C., & Arora, S. (2026) · arXiv

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 0

Adversarial Unsupervised Representation Learning for Activity Time-Series

Aggarwal, K., Joty, S., Fernandez-Luque, L., & Srivastava, J. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 0

Self-supervised learning based on local attention encoding module for human activity recognition with wearable data

Chu, J., Zhang, Y., Wang, X., & Chen, W. (2025) · Fourth International Conference on Algorithms, Microchips, and Network Applications (AMNA 2025)

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 0

Length Generalization Bounds for Transformers

Yang, A., Bergsträßer, P., Zetzsche, G., Chiang, D., & Lin, A. W. (2026) · Zenodo

semigroups and automata theoryComputability, Logic, AI Algorithms

Cited by 0