cs papers | Gist.Science

Adversarial Intelligence: A Systematic Review of AI-Driven Cyber Threat Detection, Adaptive Malware Evasion, and Arms Race Dynamics in Zero Trust Security Environments

This paper presents a systematic review of 80 studies (2010–2026) analyzing the evolving arms race between AI-driven cyber threat detection and adversarial evasion techniques, offering a unified taxonomy, visual analysis of trends, and a critical assessment of challenges and future directions within Zero Trust security environments.

Dharma Patel2026-07-01

💻 computer science

Timesynth: A Temporal Fidelity Framework for Health Signal Digital Twins

This paper introduces TimeSynth, a controlled benchmarking framework that exposes the limitations of standard pointwise metrics in evaluating health-signal digital twins by revealing significant phase and frequency errors in leading models, thereby advocating for architecture-driven model selection based on temporal fidelity diagnostics.

Warren Pettine, Md Rakibul Haque, Shireen Elhabian2026-07-01

💻 computer science

Era-Aware Language Modeling: Training a Decoder-Only Transformer on a Balanced Gutenberg Corpus

This paper introduces GutenbergLM, a 109.5M-parameter decoder-only transformer trained from scratch on a temporally balanced Project Gutenberg corpus with era-conditioning tokens, demonstrating that explicit temporal stratification enables the model to generate distinct, period-appropriate writing styles across Early, Middle, and Modern literary eras.

V K R SUBHASH CH, PAVAN TEJ P G2026-07-01

💻 computer science

Internal Combustion Engine Optimization: An Improved Physics-Inspired Metaheuristic

This paper introduces Internal Combustion Engine Optimization (ICEO), a novel metaheuristic algorithm inspired by the four-stroke engine cycle and governed by an adaptive Engine Control Unit, which significantly outperforms state-of-the-art methods in solving high-dimensional, nonlinear optimization problems by effectively balancing exploration and exploitation to avoid premature convergence.

Chabi A. R. Babatounde, Bastien Poggi, Evelyne Vittori, Thierry Antoine-Santoni, Antoine Aiello2026-07-01

💻 computer science

Transforming Industrial Supply Chains with AI and IoT in Industry 4.0: Productive and Sustainable Approaches

This paper reviews the transformative potential and challenges of AI and IoT in Industry 4.0 supply chains through global and regional case studies, ultimately proposing a scalable framework that integrates pilot projects with governance mechanisms to achieve both productivity and sustainability.

Nayid Triana Guzman, Diego Mauricio Carmona2026-07-01

💻 computer science

Containment over Detection: Cryptographic Boundary Enforcement for Prompt Injection Defense in Agentic LLM Systems

This paper proposes a cryptographic containment architecture that secures agentic LLM systems against prompt injection by enforcing a high-entropy, token-authenticated syntactic boundary between instructions and data, thereby rendering injection attempts structurally inert with negligible failure rates and minimal runtime overhead.

Saurabh Sharma2026-07-01

💻 computer science

Adaptive Weighting for Multi-view Classification Based on Ensemble Learning

This paper proposes AWMCEL, a novel multi-view ensemble framework that combines discriminant least squares regression with adaptive weighting and $\mathbf{G}_{1,2}$ -norm regularization to automatically assign optimal weights to classifiers based on their performance, thereby effectively leveraging complementary information from diverse data views without complex parameter tuning.

Mohamed AIT BLAL, Ali Yahyaouy, Rosanna Verde, My Abdelouahed Sabri, Jamal Riffi, Hamid Tairi2026-07-01

💻 computer science

Source-Aware Reasoning for Large Language Models via Data Producer Scope Extension

This paper proposes a source-aware reasoning framework for large language models that extends the inference scope to include data producers and their upstream context, enabling more accurate discrimination between genuine system abnormalities and data artifacts while significantly improving detection accuracy and reducing temporal errors.

Hong Su2026-07-01

💻 computer science

Review of Key Image Denoising Algorithms

This paper reviews key image denoising algorithms, analyzes the performance of Gaussian, linear, and non-linear isotropic smoothing techniques, and concludes that both linear and non-linear smoothing offer effective solutions for mitigating noise-induced information loss.

Chirantan Ghosh2026-07-01

💻 computer science

``Don't Teach Minerva'': Evaluating Retrieval-Augmented Refinement for Low-Resource Latin Translation with New Benchmarks

This paper introduces a fully reproducible, open-source retrieval-augmented pipeline that combines fine-tuned and zero-shot large language models to achieve GPT-5.1-level performance in low-resource Latin translation, validated through new task-ready training corpora and challenging out-of-domain benchmarks.

Sergio Torres Aguilar2026-07-01

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