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Methodology

AXL v2.1 validated its alphabet against cl100k_base (OpenAI). v2.2 extends the audit across five tokenizer families using public documentation, NFKC normalization testing, and inference from model cards. Sources: OpenAI tiktoken repo, Google Gemma 3 blog (confirms SentencePiece for Gemini), Meta Llama docs (SentencePiece with BOS token), Mistral docs (V3 Tekken = tiktoken-based), xAI documentation (variable tokenizers across Grok versions), Anthropic docs (token counting documented, tokenizer undisclosed).

Audit Table

NFKC Normalization

SentencePiece applies NFKC normalization. Key finding:
  • µ (micro sign, U+00B5) normalizes to μ (Greek mu, U+03BC) — breaks identity
  • π ← → ↑ ↓ survive NFKC — safe at normalization level, but may still multi-tokenize
  • All ASCII symbols survive NFKC unchanged

Conclusion

The universal-safe core is ASCII punctuation plus typed prefixes. Tokenizer neutrality is framed as orthographic invariance, not identical token counts. v2.2 ASCII mode guarantees parser correctness everywhere. Compression efficiency is profile-relative.