ConvergeQA

This page confirms metadata for a ConvergeQA multi-model AI quality assurance workflow. It does not disclose submitted content or certify that the reviewed content is true.

✅ Verified: This report matches ConvergeQA's generated review record

Initial Document Source

Source of initial reviewed document: Provided by user.

Report Details

Report IDCQA-2026-XOAWJElW0ncWmQ

DocumentTitle withheld by the report owner

Review DateJuly 04, 2026 at 23:52 UTC

ModeCritique

PresetHealthcare: Patient Education

Models Involved

Provider	Model	Role
Anthropic	claude-sonnet-4.6	Coordinator
Google	gemini-3.5-flash	Actionability
OpenAI	gpt-5-mini	Clinical accuracy in patient context
xAI	grok-4.3	Cultural sensitivity and inclusivity
Perplexity	sonar	Factual verification
Anthropic	claude-sonnet-4.6	Health literacy and reading level

Review Configuration ▸

Findings by Severity (17 total)

Critical

Major

Minor

Info

Verification Metadata

Input Hash (SHA-256)

c550ce7830a963a8d2bc89e525be3aaccb30588fef2a5e996bffd29b65e51383

Output Hash (SHA-256)

32c6825762967c891db4d9792f2ebb4108d91a94d7a7a4db7e8f61ad9b4d8a3c

Server-generated authentication code

4e581146c0cc9068799354a5743f1352dfebf8630f1d2390bb60d921e2419a33

What this page verifies ▸

This public page shows metadata only. It does not reveal the submitted document, private prompt text, model outputs, or account identity, and it does not certify that the reviewed content is true.

1. Canonical form. For reports created on or after April 20, 2026 (platform version v80), the input and output hashes were recorded from raw UTF-8 bytes exactly as submitted, with no whitespace collapsing, no newline normalization. Earlier reports used a whitespace-collapsed canonical form; those records remain green because the stored hashes were computed against that earlier rule.

2. Reproduce the input and output hashes. Given the exact bytes of the input document and the exact bytes of the review output, compute SHA-256 in your tool of choice:

sha256sum input.txt    # expect: c550ce7830a963a8d2bc89e525be3aaccb30588fef2a5e996bffd29b65e51383
sha256sum output.txt   # expect: 32c6825762967c891db4d9792f2ebb4108d91a94d7a7a4db7e8f61ad9b4d8a3c

Python equivalent: hashlib.sha256(open('input.txt','rb').read()).hexdigest().

3. Server authentication field. The server authentication code is computed from the stored review-record fields:

message   = input_hash + ":" + output_hash + ":" + report_id + ":" + end_time
auth_code = server_authenticator(signing_key, message.encode("utf-8")).hexdigest()

The four fields are concatenated with literal colons, no spaces. end_time is the ISO-8601 timestamp stored on the record. The authentication key is held only by ConvergeQA servers.

If you have the original source files, you can compare locally computed hashes to the metadata shown above. If the hashes differ, the local files do not match the recorded review metadata. For questions, contact [email protected] with the Report ID.

Cite This Report

Short: for social media, YouTube descriptions, footnotes

Reviewed via ConvergeQA multi-model AI review (Critique mode, 6 model-based review passes). Audit Report CQA-2026-XOAWJElW0ncWmQ, July 04, 2026. Verify: https://convergeqa.net/verify/CQA-2026-XOAWJElW0ncWmQ

Full: for documents, blog posts, formal references

This content was reviewed using ConvergeQA, a multi-model AI quality assurance platform. The review was conducted in Critique mode using 6 model-based review passes (Anthropic, Google, OpenAI, xAI, Perplexity). The review record, including findings, change log, and verification metadata, is available at https://convergeqa.net/verify/CQA-2026-XOAWJElW0ncWmQ (Report ID: CQA-2026-XOAWJElW0ncWmQ, July 04, 2026).