Replication package for two studies of code generated by large language models for customs revenue analytics. Contents: harness/ - corpus generator, execution harness, oracle, prompts and the adjudication ledger. prevalence.db holds 1,600 generations across eight tasks (A to H). Tasks A, B and C comprise 600 generation...
Sushanta Paul· Zenodo (CERN European Organi...· 0 citations
Large language models emit testimony: fluent claims whose warrant lies outside the act of generation. What science fits such output? We argue it is the one philology built for corrupt textual transmission: stemmatics. Not, however, as an identity claim. An earlier draft of this paper made that claim, and four separatel...
Soons Luuk· Zenodo (CERN European Organi...· 0 citations
This record presents the current research program of Structural Intelligence, an independent project by Vladisav Jovanović focused on correction, belief revision, warrant-responsive rationality, large language model evaluation, AI corrigibility, persistent AI memory, and human–AI interaction. The current program develo...
This record provides a multi-label dataset of 100,000 U.S. 2024 election-related X (Twitter) posts, featuring crowdsourced and LLM annotations for harmful-content research (focusing on speculation, sensationalism, conspiracy, hate speech, and satire). Data Access Details: Dehydrated Data: Publicly available at https://...
Qile Wang, Prerana Khatiwada, Carolina Coimbra Vieira et al.· Zenodo (CERN European Organi...· 0 citations
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Code and de-identified derived data for the manuscript 'Large language models as reliable graders of clinical competency for digital standardized patients in a multilingual LMIC' (npj Digital Medicine, revised 2026). Version 2.0.0 accompanies the revision and adds the revision's eight-grader panel (gpt-6-astra, gpt-5.6...
Wei Zhang, Benjamin Daniels, Hoang Nguyen et al.· Zenodo (CERN European Organi...· 0 citations
Building smart territories faces challenges for more efficient services and facilities, as well as supporting the intelligent development of the tourism industry in terms of data analysis and prediction, automation and intelligence, personalization and customization, intelligent decision support, and exploration. In th...
Nelson Salgado-Reyes, Gustavo Chafla-Altamirano, José Ramiro Pilaluisa Quinatoa, Adrián Alejandro Macias Palma, Ader Frederich Suarez Mera· Research· 0 citations
C++-Eval: A C++ Evaluation Benchmark for Large Language Models C++-Eval is a comprehensive benchmark for evaluating the C++ code generation capabilities of Large Language Models (LLMs), with a focus on complex memory management and industrial-grade software engineering requirements. Dataset Statistics 200 multi-level C...
LZX-zx-em· Zenodo (CERN European Organi...· 0 citations
The paper replaces the question whether a language model is conscious with a measurable one: which functions of consciousness a trained Transformer has generalized from human text, and how far, against the human baseline. One physical assumption carries the account: computational budgets are finite. A finite budget dis...
Victor Smirnov· Zenodo (CERN European Organi...· 0 citations
Large language models are commonly evaluated by the quality of the content they generate. This paper argues that this focus is fundamentally misplaced. In probabilistic systems, content quality is a secondary property; the primary determinant of meaning, reliability, and trustworthiness is the existence of explicit pri...
Thomas Gessler· Zenodo (CERN European Organi...· 0 citations
This dataset accompanies a mixed-methods pilot study of an eight-week intervention (22 October – 17 December 2025). In the intervention, 54 university EFL students in China used freely available large language model chatbots for low-stakes speaking practice. The chatbots used were DeepSeek, Doubao, ChatGPT, Kimi Chat a...
Anonymous· Zenodo (CERN European Organi...· 0 citations
msf:47220 v2.0 establishes the atmospheric master foundation of USP Field Theory. The document begins from standard atmospheric physics rather than from a USP-specific force or frequency law. Its operational hierarchy is: standard dynamical closure → forcing and boundary conditions → transport and phase change → organi...
Sepehri, Sadegh· Zenodo (CERN European Organi...· 0 citations
State-of-the-art Large Language Models (LLMs) rely heavily on autoregressive transformer decoders requiring billions of dense floating-point Multiply-Accumulate (MAC) operations, massive memory bandwidth, and centralized cloud server infrastructure. In this paper, we introduce Project Brahmaand, an edge-native, non-aut...
Chandramouli· Zenodo (CERN European Organi...· 0 citations
