Research phase · F768

F768 — Clean Tokenizer Cleanup

F768 covers “Clean Tokenizer Cleanup”. The canonical record classifies it as validated, based on 2 source artifacts and 1 original source figure. The highlighted measurements are Pass = Yes, Smoke Tokenizer Pass = Yes, and Smoke Tokenizer Tokenize Separates Math = Yes.

F768 Validated KEEP_CLEANUP

StatusValidated

VerdictKEEP_CLEANUP

Source figures1

Artifacts2

Purpose and research question

The objective is to document the recorded outcome for “Clean Tokenizer Cleanup”. The research question is whether the phase-specific checks support the canonical validated classification. The recorded measurements include Pass = Yes, Smoke Tokenizer Pass = Yes, and Smoke Tokenizer Tokenize Separates Math = Yes.

Method

F768 is documented by 1 structured JSON record and 1 Markdown report and 1 original source figure. The reported table retains safe scalar measurements found in that phase package.

Documentation basis

2 source artifacts and 1 phase-specific figure are recorded for this phase.

Evidence highlights

Pass: Yes
Smoke Tokenizer Pass: Yes
Smoke Tokenizer Tokenize Separates Math: Yes
Smoke Tokenizer Clean Vocab Pass: Yes
Decision: KEEP_CLEANUP
Before Tokenizer Remove Or Refactor: 10
After Tokenizer Remove Or Refactor: 0
Before Reachable From Active Remove: 69

Recorded evidence

Pass	Yes
Smoke Tokenizer Pass	Yes
Smoke Tokenizer Tokenize Separates Math	Yes
Smoke Tokenizer Clean Vocab Pass	Yes
Decision	KEEP_CLEANUP
Before Tokenizer Remove Or Refactor	10
After Tokenizer Remove Or Refactor	0
Before Reachable From Active Remove	69

Public evidence and source figures

F768 benchmark evidence — Clean Tokenizer Cleanup 768 — **Clean Tokenizer Cleanup 768**
Original source figure · 1760 × 800 px

These are original source figures from the existing public evidence set, not editorial HTML visualizations.

Result and interpretation

F768 Clean Tokenizer Cleanup KEEP_CLEANUP

F768 is classified as validated with the recorded decision KEEP_CLEANUP. The recorded measurements include Pass = Yes, Smoke Tokenizer Pass = Yes, Smoke Tokenizer Tokenize Separates Math = Yes, and Smoke Tokenizer Clean Vocab Pass = Yes.

Key results

Pass: Yes
Smoke Tokenizer Pass: Yes
Smoke Tokenizer Tokenize Separates Math: Yes
Smoke Tokenizer Clean Vocab Pass: Yes
Decision: KEEP_CLEANUP
Before Tokenizer Remove Or Refactor: 10
After Tokenizer Remove Or Refactor: 0
Before Reachable From Active Remove: 69

Evidence sources

Values on this page are reproduced from the archived phase record and the source artifacts below. No new benchmark was run to create this page.

CLEAN TOKENIZER CLEANUP 768 (JSON)
CLEAN TOKENIZER CLEANUP 768 (MD)

Research topics

Word Model · Word / World Document · Speech · Reasoning