Corrections & Updates
When we get something wrong, we say so. This page is the public log of every substantive correction, retraction, clarification, and material update we have issued on previously published articles. Most tech blogs silently edit and move on; we don't.
What gets logged here
- Corrections — factual errors we got wrong (a wrong number, a misattributed quote, a technical mistake).
- Retractions — articles or claims we have removed because the underlying premise was wrong.
- Clarifications — adding missing context that meaningfully changes how a reader should interpret a claim.
- Material updates — significant new information that changes a comparison, leaderboard, or recommendation.
We do not log routine copy edits, typo fixes, broken-link repairs, formatting tweaks, or quarterly fact-refresh updates on tracker posts. Tracker updates are timestamped on the article itself.
Found an error?
Email insights@web3aiblog.com with the article URL, the specific claim that's wrong, and the source you believe is correct. We respond to credible correction requests within 5 business days. Verified errors land here within 7 days of confirmation.
Log
- correctionTop RWA Tokenization Companies May 2026
Reordered two sector tables whose rankings contradicted their own figures: Maple Finance (~$2.1B TVL) now correctly leads tokenized private credit ahead of Centrifuge (~$510M), and Tether XAUT (~$900M) now correctly leads tokenized gold ahead of PAXG (~$700M). The headline market total was corrected from "$24 billion" to "more than $22 billion" to match the sector figures, with source attribution (rwa.xyz, DeFiLlama) and an as-of date added.
Fixed a numeracy error that described the $1 billion milestone as "nine figures" (it is ten figures) in several places, and added a note reconciling this post's issuer AUM figures with our May sector guide — the segment grew sharply in May, which is why the June numbers are materially higher.
Replaced a deprecated embedding-model recommendation (OpenAI ada-002) with the current text-embedding-3 family and modernized an outdated LangChain code sample's import style.
- clarification
Site-wide: comparison posts previously described their evaluations using first-person testing language that overstated the formality of our process. These posts have been reframed to accurately describe our editorial-synthesis methodology — verdicts built from vendor documentation, published benchmarks, and practitioner reports. Scores presented with unsourced precision were converted to qualitative ratings; published benchmark figures and vendor pricing were kept. Our process is now documented at /methodology.
See also our Editorial Policy for our standards on sourcing, fact-checking, and disclosure.