Check computer science papers: citations, claims and retractions

Not All Flips Are Conformity: Decomposing Stance Convergence in Multi-Agent LLM Debate

Hao, X., Wu, Z., Qiu, Y.-X., Xiao, C., Xu, R., Zheng, S., & Qin, J. (2026) · arXiv

Multi-Agent Systems and NegotiationOpinion Dynamics and Social Influence

Cited by 0

LK Losses: Direct Acceptance Rate Optimization for Speculative Decoding

Samarin, A., Krutikov, S., Shevtsov, A., Skvortsov, S., Fisin, F., & Golubev, A. (2026) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0

Abductive Logical Rule Induction by Bridging Inductive Logic Programming and Multimodal Large Language Models

Peng, Y., Liu, Y., Xia, E., Jin, Y., Dai, W.-Z., Ren, Z., Ding, Y.-X., & Zhou, K. (2025) · arXiv

Logic, Reasoning, and KnowledgeMultimodal Machine Learning Applications

Cited by 0

A Robust Architecture for High-Availability Authentication in OT/ICS Environments

Mahansaria, D., Gauravaram, P., Pati, D. P., & Misra, P. (2026) · Proceedings of the 6th ACM Workshop on Secure and Trustworthy Cyber-Physical Systems

User Authentication and Security SystemsAdvanced Authentication Protocols Security

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HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry

Chen, T., Lu, S., Zhao, K., Meng, W., Teng, H., Li, T., Li, C., Liu, X., Liang, J., Zhang, Z., et al. (2026) · arXiv

AI-based Problem Solving and PlanningEvolutionary Algorithms and Applications

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Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving

Tang, X., Qin, T., Peng, T., Zhou, Z., Shao, D., Du, T., Wei, X., Xia, P., Wu, F., Zhu, H., et al. (2025) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 0

AnyEdit: Edit Any Knowledge Encoded in Language Models

Jiang, H., Fang, J., Zhang, N., Ma, G., Wan, M., Wang, X., He, X., & Chua, T.-S. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

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Organize then Retrieve: Hierarchical Memory Navigation for Efficient Agents

Hsu, H.-L., Kuang, N. L., Liu, B., Yao, Z., & He, Y. (2026) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 0

Autonomous Task Completion Based on Goal-directed Answer Set Programming

Tudor, A. R. (2025) · Electronic Proceedings in Theoretical Computer Science

AI-based Problem Solving and PlanningLogic, Reasoning, and Knowledge

Cited by 0

Neuro-Fuzzy Aggregation for Multi-Criteria Recommender Systems: Comparative Study with Fixed-Weight Averaging

Singh, R., Pinheiro, G., Ajagalla, M., & Patel, T. (2026) · Procedia Computer Science

Recommender Systems and TechniquesMulti-Criteria Decision Making

Cited by 0

UniICL: An Efficient Unified Framework Unifying Compression, Selection, and Generation

Gao, J., Lv, Q., Wang, Z., Wu, T., Cao, Z., & Li, W. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Reflective Paper-to-Code Reproduction Enabled by Fine-Grained Verification

Zhou, M., Yao, Q., Du, L., Wei, L., & Zheng, D. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0

Lowering Barriers to Undergraduate Research: Opportunities and Risks of Generative AI at Primarily Undergraduate Institutions

Batouli, M., & Arnette, J. (2026) · 2026 ASEE Southeastern Section Conference Proceedings

Artificial Intelligence in EducationHigher Education Practises and Engagement

Cited by 0

Deployment of Low-Bit Quantized Neural Networks on FPGA-Based Edge Devices Using FINN Framework

Akkuş, B. (2026) · SSRN Electronic Journal

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

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Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing

Wu, Y., Ding, L., Shen, L., & Tao, D. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

STAC: When Innocent Tools Form Dangerous Chains for LLM Agents

Li, J.-J., He, J., Shang, C., Kulshreshtha, D., Xian, X., Zhang, Y., Su, H., Swamy, S., & Qi, Y. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

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DeepSearchQA: Bridging the Comprehensiveness Gap for Deep Research Agents

Gupta, N., Chatterjee, R., Haas, L., Tao, C., Wang, A., Liu, C., Oiwa, H., Gribovskaya, E., Ackermann, J., Blitzer, J., et al. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

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A Longitudinal Effects of Ethical AI Pedagogy on AI Literacy, Moral Competence, and Educational Equity in Indian Higher Education: A Three-Year Mixed-Methods Study Across Urban and Rural Institutions (NEP 2020 Alignment)

Krishnan, S. (2026) · Review of Artificial Intelligence in Education

Artificial Intelligence in EducationEthics and Social Impacts of AI

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GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization

Nimase, O., Chen, Z., Zhao, Y., & Hu, X. (2026) · arXiv

Adversarial Robustness in Machine LearningSpam and Phishing Detection

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RAGuard: A Novel Approach for in-context Safe Retrieval Augmented Generation for LLMs

Walker, C., Aslansefat, K., Akram, M. N., & Papadopoulos, Y. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Heartbeat-Bound Hierarchical Credentials: Cryptographic Revocation for AI Agent Swarms

Deochake, S. (2026) · arXiv

Advanced Authentication Protocols SecurityAccess Control and Trust

Cited by 0

Large language models for agentic NetOps and AIOps: Architectures, evaluation, and safety

Bilal, M., Crowcroft, J., Wang, R., Xu, X., & Dustdar, S. (2027) · Computer Science Review

Software System Performance and ReliabilitySoftware-Defined Networks and 5G

Cited by 0

Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges

Motger, Q., Oriol, M., Marco, J., & Franch, X. (2026) · arXiv

Multi-Agent Systems and NegotiationAI-based Problem Solving and Planning

Cited by 0

Agent Contracts: A Formal Framework for Resource-Bounded Autonomous AI Systems

Ye, Q., & Tan, J. (2026) · arXiv

Multi-Agent Systems and NegotiationAccess Control and Trust

Cited by 0