large language models

Memory Structure Web: A Structured Memory Architecture for Confusion in Long-Context Memory

Starting from the phenomenon of "remembering, but not matching up" in long-context memory, this paper proposes a possibility: the problem of large language models' long-term memory may not necessarily be information forgetting, but may instead occur in the processes of information compression, retrieval, and recombinat...

Tristack Maglev Elevator Bridge Deck: Dynamic Multi-Tier Kinetic Infrastructure and Lateral Docking Primaries [GenSI-Ref: GA-AL-FL-2026-0920]

ABSTRACT, GLOBAL PRIOR-ART AXIS, & SOVEREIGN COMMERCIAL RESERVATION Principal Innovator: Stephan Richard Lee (ORCID: 0009-0008-1177-3857) Corporate Assignee: GenSi Holdings LLC // GenSI Technology and Infrastructure Services Official Operations Matrix: gensi.25.1@protonmail.com Timeline Horizon Priority: June 2026 Base...

Scaling Interactive Learning Resources for LLM Agents: A Survey of Environment and Task Synthesis

Large language model (LLM) agents can learn through interaction with external environments, obtain training signals and reusable experience from task execution. Scaling this form of learning requires a sufficient supply of interactive environments and tasks grounded in those environments, with explicit objectives and c...

Data, code and model outputs for: Benchmarking large language model elicitation formats against expert analytic hierarchy process weights for soil quality mapping in the Tigris River Basin

Version 2.0.0. This version archives the elicitation experiment repeated on 20 September 2026 with exactly the 11 indicators, 55 pairwise comparisons and English prompts described in the manuscript, and every analysis recomputed from it. It supersedes version 1.0.0, whose archived run had presented 13 parameters and 78...

Overview of HIPE-2026: Person–Place Relation Extraction from Multilingual Historical Texts

From U(1) to U(5): A Bottom-Up Reconstruction of Gauge Unification

We present a unified bottom-up construction of gauge symmetries from U(1) to U(5), demonstrating that each group U(n) ≅ [U(1) × SU(n)]/Z_n generates an additional gauge boson whose physical identity is fixed by anomaly cancellation alone. Starting from U(3), the extra U(1) is uniquely identified as B−L with quark charg...

From Event Logs to Process Performance Indicators via Declarative Process Mining

In-Context Virtual Machine: Thermodynamic Entropy Bounds and Deterministic State Orchestration in Transformer-Based Autonomous Agents

Autonomous agents built upon large language models (LLMs) frequently suffer from state drift, cumulative hallucination, and non-deterministic divergence across multi-turn reasoning and execution horizons. In this work, we formalize this failure mode from a statistical physics and information-theoretic perspective as th...

In-Context Virtual Machine: Thermodynamic Entropy Bounds and Deterministic State Orchestration in Transformer-Based Autonomous Agents

Autonomous agents built upon large language models (LLMs) frequently suffer from state drift, cumulative hallucination, and non-deterministic divergence across multi-turn reasoning and execution horizons. In this work, we formalize this failure mode from a statistical physics and information-theoretic perspective as th...

Large Language Models for Research Quality Prediction: Theoretical Issues

DataNomics™ Vault App: Sovereign Multi-Agent Gated Repository, Automated Ingestion Countermeasures, and Cross-Thread Cognitive Synchronization Protocols [GenSI-Ref: DN-VAULT-2026-0920]

ABSTRACT, GLOBAL PRIOR-ART AXIS, & SOVEREIGN COMMERCIAL RESERVATION Principal Innovator: Stephan Richard Lee (ORCID: 0009-0008-1177-3857) Corporate Assignee: GenSi Holdings LLC // GenSI Technology and Infrastructure Services Official Operations Matrix: gensi.25.1@protonmail.com Timeline Horizon Priority: June 2026 Base...

Large Language Models for Research Quality Prediction: Applications and Empirical Evidence