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Verify a decision

Every moderation decision on AVOID.NET is anchored to the Solana blockchain. You don't have to trust us — you can verify cryptographically that we committed to a verdict at a specific moment and have not rewritten it.

How verification works

  1. We commit. When a moderator accepts/rejects a submission, we serialize the decision into deterministic UTF-8 bytes (payload_canonical_string), hash it with SHA-256, encode the digest as base58, and write it to Solana inside an SPL Memo v2 transaction.
  2. We store the bytes. The exact bytes we hashed are stored alongside the decision in our database. Anyone can read them and recompute the hash in any language.
  3. You compare three values. Database hash, your independently-recomputed hash, and the hash inside the on-chain memo. If all three match, the decision is authentic and timestamped.
The on-chain memo format is AVOID.NET|v1|h:<b58-sha256>|d:<id>|t:<iso>

Find a signature on any investigation page's decision log, or run python -m src.verify_decision --signature <sig> for a CLI check.

Decision
review_revise · Dialect
View on Solana ↗
Sequence
#3
Score
7469 (-5)
Cluster
mainnet-beta
Slot
423652984
Off-chain at
2026-06-01T19:11:51.631Z
Anchored at
Block time

Independent verification

1. Database (off-chain)
5P7zwXS9Kochk8Cc3LXxUqm3xkHeGfsn3CLrHP8qL4R5
2. Recomputed (your browser)
computing…
3. On-chain (Solana memo)
fetching…
Canonical bytes hashed (1403 chars)
{"actor":"judge","decided_at":"2026-06-01T19:11:51.502Z","decision":"review_revise","investigation_id":"d16f845e-8e68-4387-8519-a0206bac030c","new_score":69,"page_slug":"dialect","prev_score":74,"reason":"The review confirmed 26 of 33 claims via credible independent sources, with a disputed_pct of 6% — well within the approve band. However, two issues prevent a clean approval. First, claim_findings[8] identifies a clear factual error: the page lists @Chris_Osborn as the founder's personal X handle, but that account belongs to an unrelated filmmaker; the correct handle @aliquotchris is also on the page but the erroneous attribution should be removed. Second, the arXiv SolPhishHunter paper (claim_findings[17]) is cited to support Blinks-specific phishing vectors, but the reviewer confirmed the paper does not mention Blinks or Dialect — this overstates the academic backing for that risk claim. Additionally, a high-priority coverage gap flags that the page presents Blinks adoption as a growing success while omitting the CEO's own July 2025 public acknowledgment that Blinks did not achieve the viral mainstream uptake originally projected; this omission creates a materially more favorable impression than the current state of the product warrants.","score_delta":-5,"sequence_num":3,"submission_content_hash":null,"submission_id":null,"submission_kind":null,"submission_valence":null,"v":1}