Author

S. Regmi

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Preprint Sep 2026

But How Would AI Agents Run a Town's Economy?

We placed 100 memory-equipped large language model (LLM) agents in charge of a closed, money-conserving spatial economy on real Pokhara Lakeside geography (earning wages, running businesses, setting prices) and ran this multi-agent simulation for up to 26 simulated weeks, well past the 1-2 weeks typical of agent-societ...

S. Regmi, Siddhartha Pudasaini, Chetan Phakami Pun · 1 citation

Preprint Aug 2026

Vowel Signs Are Not Letters: A Pre-tokenization Ceiling on Multilingual Tokenizer Fertility

Byte-level BPE tokenizers that use the HuggingFace ByteLevel pre-tokenizer inherit GPT-2's word regex, where a word is defined as \p{L}+, one or more Unicode letters, which splits each word at every vowel sign, and formalises this effect as a training-free lower bound on fertility.

S. Regmi, Siddhartha Pudasaini, Chetan Phakami Pun · 3 citations

#artificial intelligence Preprint Aug 2026

Arkios: An Open Bilingual English-Nepali Language Model Trained From Scratch, with a Devanagari-Aware Tokenizer

We present Arkios, a 1.04B-parameter dense transformer pretrained from scratch on 150B tokens of bilingual English-Nepali text, using a custom single-file C/CUDA training stack and a Devanagari-aware byte-level BPE tokenizer built for this project. On ARC-Easy and ARC-Challenge, Arkios exceeds three comparably sized op...

S. Regmi, Siddhartha Pudasaini, Chetan Phakami Pun · 0 citations