Check computer science papers: citations, claims and retractions

Differentiable Latent Indexing in LLMs: Toward Native Retrieval as a Cognitive Function

Leocadio, P. (2026) · SSRN Electronic Journal

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Analyzing sports commentary in order to automatically recognize events and extract insights

Miraoui, Y. (2023) · arXiv

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 0

Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning

Wu, Z., Lou, X., Ma, X., Li, Y., Liu, W., Zhang, W., Wang, J., & Zhang, Z. (2026) · arXiv

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 0

Human Reinforcement Learning from AI Feedback: Feedback Mechanisms, Meta-Collaborative Monitoring, and Identity Positioning in Long-Term Human-AI Collaboration

Du, L. (2026) · SSRN Electronic Journal

Ethics and Social Impacts of AISocial Robot Interaction and HRI

Cited by 0

Siamese masked reconstruction with temporal rotation consistency for inertial-based human activity recognition

Calatrava-Nicolás, F. M., Stoyanov, T., & Martinez Mozos, O. (2026) · Scientific Reports

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 0

Agency Flow in a Multi-user Ridesharing System

Adenuga, I. J., & Dodge, J. E. (2024) · Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing

Innovative Human-Technology InteractionEthics and Social Impacts of AI

Cited by 0

LINEADAPTER: Parameter-Efficient Fine-Tuning for Log Anomaly Detection and Root Cause Analysis

Liu, X., Bao, W., Zhang, Y., Li, Y., Ranjan, R., & Jha, D. N. (2025) · 2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)

Software System Performance and ReliabilityTopic Modeling

Cited by 0

How to Steal Reasoning Without Reasoning Traces

Zhang, T., Morris, J. X., & Shmatikov, V. (2026) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 0

ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Hou, B., Zhang, Y., Ji, J., Liu, Y., Qian, K., Andreas, J., & Chang, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Protecting Language Models Against Unauthorized Distillation through Trace Rewriting

Ma, X., Yeoh, W., Zhang, N., & Vorobeychik, Y. (2026) · arXiv

Adversarial Robustness in Machine LearningPhysical Unclonable Functions (PUFs) and Hardware Security

Cited by 0

Skipping Computations in Multimodal LLMs

Shukor, M., & Cord, M. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

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Poly-FEVER: A Multilingual Fact Verification Benchmark for Hallucination Detection in Large Language Models

Zhang, H., Anjum, S., Fan, H., Zheng, W., Huang, Y., & Feng, Y. (2025) · arXiv

Topic ModelingMisinformation and Its Impacts

Cited by 0

When Does Diversity Rescue Evolutionary Search of LLM Agent Strategies? A Controlled Landscape Study of Monoculture Collapse and the Novelty Escape

ALOBED, M. (2026) · SSRN Electronic Journal

Evolutionary Algorithms and ApplicationsEvolution and Genetic Dynamics

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Evaluating the Performance and Resistance of Dynamic AES Image Encryption to Noise and Key Sensitivity

Abid Hilal, H., & Falah Ahmed, S. (2025) · International Journal of Advances in Scientific Research and Engineering

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 0

Scoping review on the integration of artificial intelligence and machine learning with structured instruments to predict juvenile recidivism

Argudo Palacios, A., & Mechraoui, A. (2026) · Cuadernos de RES PUBLICA en derecho y criminología

Ethics and Social Impacts of AIPsychopathy, Forensic Psychiatry, Sexual Offending

Cited by 0

Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion

Hoogeboom, E., Mensink, T., Heek, J., Lamerigts, K., Gao, R., & Salimans, T. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisImage and Signal Denoising Methods

Cited by 0

Repeated post-training is not Self-improving: Diagnosing Scientific Amnesia in Continual DPO Pipelines

Lin, J., Wang, F., Li, X., Golani, R., & Chheda, J. (2026) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0

CacheSolidarity: Preventing Prefix Caching Side Channels in Multi-Tenant LLM Serving Systems

Pennas, P. G., Papaioannou, K., Guarnieri, M., & Doudali, T. D. (2026) · arXiv

Security and Verification in ComputingAdversarial Robustness in Machine Learning

Cited by 0

Cryptanalysis and design for a family of plaintext-non-delayed chaotic ciphers

Wang, Q., & Yu, S. (2025) · arXiv

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 0

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis

Cao, H., Feng, Y., Gong, B., Tian, Y., Lu, Y., Liu, C., & Wang, B. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 0

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems

Chen, J., Ye, J., & Wang, G. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 0

Expected Free Energy as Belief-Dependent Utility for rho-POMDPs

Cooper, P., & Velasquez, A. (2026) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

Curvature-Corrected Rotary Position Embeddings: An Entropy-Invariant Temperature for Mitigating Numerical-Rank Collapse in Long-Context Attention

Mtetwa, J. T., Ogudo, K. A., & Pudaruth, S. (2026) · Mathematics

Topic ModelingMatrix Theory and Algorithms

Cited by 0

Enhancing LLM Planning Capabilities through Intrinsic Self-Critique

Bohnet, B., Kamienny, P.-A., Sedghi, H., Gorur, D., Awasthi, P., Parisi, A., Swersky, K., Liu, R., Nova, A., & Fiedel, N. (2025) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence in Games

Cited by 0