A credentialed archive where every AI research claim remains connected to its supporting evidence, contradictions, methods, and provenance.
Evidence before visibility. Every submission enters identity, citation, claim, and provenance screening before it can become an archive record.
Read the standard3 of 3 records
This demonstration record models a longitudinal evaluation protocol for autonomous systems whose policies change after deployment. It shows how AIREA separates author claims, supporting evidence, contradictory evidence, and unresolved uncertainty without converting scientific disagreement into a single truth score.
A demonstration of claim-level provenance for retrieval-augmented systems. The record traces each generated assertion to its source, records source changes over time, and preserves contradictions instead of silently resolving them.
This synthetic example demonstrates how incomplete evidence is displayed when performance changes cannot be separated from data quality, preprocessing, or latent compression choices.
Public visitors see exactly what an author releases as basic access. Full records, submission tools, and review privileges require verified research identity.
Verify your research identityAuthor-approved abstracts, metadata, and basic evidence status.
Academic email or linked scholarly identity establishes full reader access.
Affiliation and authorship evidence unlock research submission.
Stacked credentials and domain review establish reviewer privileges.
AIREA does not tell the scientific community what to believe. It shows what evidence was located, what it supports, what challenges it, what could not be accessed, and where uncertainty remains.
Examine the evidence standard