Recoverable Identifier

arXiv:2605.05878 · detector doi_compliance · incontrovertible · 2026-05-19 13:10:00.480480+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.3386/w30048.url:https://www.nber.org/papers/w30048(visited) was visible in the surrounding text but could not be confirmed against doi.org as printed.

Paper page Integrity report arXiv Try DOI

Evidence text

Lin William Cong et al.Crypto Wash Trading. NBER Working Paper 30048. Foundational empirical study of crypto wash-trading patterns; the methodological reference for the sentiment-fusion engine’s grey-literature caveats (Birdeye, DexScreener, Pump.fun feeds are vulnerable to exactly the patterns this paper documents) and for the security-model section’s manipulated-liquidity-signals threat class. National Bureau of Economic Research, 2022.doi:10.3386/w30048.url: https://www.nber.org/papers/w30048(visited on 05/07/2026)

Evidence payload

{
  "printed_excerpt": "Lin William Cong et al.Crypto Wash Trading. NBER Working Paper 30048. Foundational empirical study of crypto wash-trading patterns; the methodological reference for the sentiment-fusion engine\u2019s grey-literature caveats (Birdeye, DexScreener",
  "reconstructed_doi": "10.3386/w30048.url:https://www.nber.org/papers/w30048(visited",
  "ref_index": 22,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}