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small language model

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#small language model Open access Sep 2026

Measuring Frozen Accidents: Path-Dependent Emergence in Complex Adaptive Systems

Emergent order in technologies, living systems, and now learned machines is often a frozen accident: a system reliably organizes, but which organization forms is selected by history, not fixed by fundamentals. This is path dependence: an early lead under increasing returns locks in, as with QWERTY or VHS. Yet our measu...

Apostolos Apostolou · 0 citations
#small language model Open access Sep 2026

A Multi-Layer Security Framework for Prompt Injection and Knowledge Poisoning Mitigation in Agentic Retrieval-Augmented Generation Systems

Retrieval-Augmented Generation (RAG) improves the factual usefulness of Large Language Models (LLMs) by grounding generation in external knowledge. When RAG is combined with autonomous agents, the system can plan multi-step tasks, retrieve information, and invoke external tools, but the additional autonomy also creates...

Rohan Mehra · 0 citations
#small language model Dataset Open access Sep 2026

When Muon Tomography Meets Unknown Cargo: A Falsification Study of High-Z Detection

Can cosmic-ray muons detect hidden high-Z material in unknown cargo? A plain-language summary of a one-day computational study. Quantum Clarity LLC · September 2026 Repository: muon-tomography-lab The short version We built a computer simulation to test whether a particular statistical method could detect a block of de...

Amit Brahmbhatt · 0 citations
#small language model Open access Sep 2026

CAMEL: Fixed-Work Residual Memory for CPU-Oriented Language Models

CAMEL investigates external residual memory for small language models intended for CPU execution. The main study uses a recurrent byte-level student with two compiled memories: an exact surface 4-gram memory and a learned latent residual memory. A 32-byte table selects between the two using support-count bins.On three...

Henrik W. Lautergold · 0 citations
#small language model Open access Sep 2026

A Multi-Layer Security Framework for Prompt Injection and Knowledge Poisoning Mitigation in Agentic Retrieval-Augmented Generation Systems

Retrieval-Augmented Generation (RAG) improves the factual usefulness of Large Language Models (LLMs) by grounding generation in external knowledge. When RAG is combined with autonomous agents, the system can plan multi-step tasks, retrieve information, and invoke external tools, but the additional autonomy also creates...

Rohan Mehra · 0 citations
#small language model Open access Sep 2026

CAMEL: Fixed-Work Residual Memory for CPU-Oriented Language Models

CAMEL investigates external residual memory for small language models intended for CPU execution. The main study uses a recurrent byte-level student with two compiled memories: an exact surface 4-gram memory and a learned latent residual memory. A 32-byte table selects between the two using support-count bins.On three...

Henrik W. Lautergold · 0 citations
#small language model Open access Sep 2026

Three Bets on the Future of Software: Compiler Compiler System AI-Assisted Construction

The conversation about artificial intelligence has narrowed to two competing bets about how human-level capability is built. The first, held by the major frontier labs, is that scaling neural networks produces general intelligence as an emergent property. The second, held by a smaller community in the cognitive-science...

Aleksandr F. Urakhchin · 0 citations
#small language model Open access Sep 2026

From Paper Manifests to Real-Time GPS: The Fascinating Evolution of Package Tracking Technology

Not that long ago, buying something from a mail-order catalog or an early online storefront was an exercise in pure patience. You submitted your order, crossed your fingers, and waited out the standard disclaimer: “Please allow four to six weeks for delivery.” During those weeks, your item existed in a logistical black...

TrackPkgs Logistics Research · 0 citations
#small language model Open access Sep 2026

Measuring Frozen Accidents: Path-Dependent Emergence in Complex Adaptive Systems

Emergent order in technologies, living systems, and now learned machines is often a frozen accident: a system reliably organizes, but which organization forms is selected by history, not fixed by fundamentals. This is path dependence: an early lead under increasing returns locks in, as with QWERTY or VHS. Yet our measu...

Apostolos Apostolou · 0 citations
#small language model Open access Sep 2026

THE OCCUPATION OPERATOR - Substrate Independence, the Partition Theorem, and Why a Virtue Detector Must Stay Out of the Loop

Abstract Four papers of this programme — on metrics, reward models, constitutions, and schools — reached the same prohibition without noticing they agreed: a virtue detector must never enter the loop that acts on the measured. This paper states the object they were touching from four sides. An agent originates an act....

José Caetano de Mattos · 0 citations
#small language model Open access Sep 2026

Supplementary Data for Small Language Models for AEC Tasks: Technology Evolution, Current Practices, and Future AI Systems

# Supplementary Data Package This package contains this README and four supplementary workbooks needed to trace the study corpus, screening validation, reporting, and the evidence summarized in manuscript Tables 5 and 6. `Supplementary_Table_S1_Corpus_and_Search.xlsx` documents the evidence base used in the review. Its...

Zheng Ma · 0 citations

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