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A Three-Layer Framework for Measuring Names and Its Census Application on a Token Launchpad (arXiv (Cornell University))

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Research paperarXiv (Cornell University)September 202629 pages44 min readDingding Cao, Yujing Zhong, Wang Han, Xian Pan et al.Original source
Key number
513,647 naming attempts
Naming attempts on the four.meme launchpad p.7
What changed
37.8%
Share of new names in June, down from 52.0% in February p.18

Summary

  • The paper builds a census-level dataset of all 513,647 naming attempts on the four.meme token launchpad on BNB Chain between February and June 2026.p.1
  • The form layer extends processing-fluency measurement to Chinese names through 38 deterministic features adapted to the Chinese writing system.p.1
  • Within the research window, 237,937 unique names correspond to 513,647 naming attempts, and 71,585 names were used more than once.p.7
  • The maximum reuse count for a single name reached 1,130, and 58,816 tokens (11.4%) never produced a single trade.p.7
  • Cumulative unique names follow Heaps' law, V = 1.24 · N^0.921, and the share of new names declines from 52.0% in February to 37.8% in June.p.18
  • The median interval between same-name copies is 0.7 minutes for same-creator copies and 5.6 minutes for cross-creator copies.p.21
  • In the six hours after the Spring Festival Gala broadcast began, 4,128 new tokens were created, roughly 2.8 times the count of the six hours before, and 12.3% used festival-related names.p.22

Key insights

  1. The three layer subindices are nearly orthogonal, with pairwise Spearman correlations no greater than 0.11.p.16
  2. Authority borrowing is far more common in mixed Chinese-English names (45.60%) than in purely Chinese (23.30%) or purely English (19.63%) names.p.16
  3. Only 6.65% of Chinese names differ in tone entropy between whole-name and character-by-character reading, while 30.6% of Chinese characters are heteronyms.p.10
  4. The Chinese share of names falls from 44.5% in February to 36.8% in March and then climbs to 50.3% in June.p.18
  5. Name reuse is concentrated: the largest 1% of lodes contain 17.4% of tokens, and the name "test" accounts for 1,130 tokens from 414 creators.p.20
  6. Creators number 35,677 addresses, of which 32.1% issued two or more tokens, and the most prolific address issued 9,750 tokens in five months.p.9
  7. Of all names, 6.4% have a precursor anchor, defined by an edit similarity of at least 0.85 to an earlier name.p.15
  8. Market snapshot coverage is 87.31%, and missing snapshots concentrate on tokens that never traded.p.8

Topics and entities

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