From Adversarial Tests to Prediction Ledgers: A Role-Typed Framework for Post-Cogitate Consciousness Science
Adam Ziv-el
Zenodo (CERN European Organization for Nuclear Research) May 7, 2026 preprint DOI: 10.5281/zenodo.20073224 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Key points | Proposes that consciousness evidence be coded by role — latent content, local decodability, access, report, confidence, control use, and state capacity — before being used for theory comparison. The ledger adds 2024–2026 evidence rows across several domains while retaining its original schema and seed rows, and the authors state it is evidence infrastructure rather than a claim that mature theories have been refuted. |
Abstract
Prediction Ledger v0.2 expands the original seed ledger into a broader role-typed evidence update. It preserves the original machine-readable CSV schema, retains the initial seed rows, and adds recent 2024–2026 evidence rows across latent content, access/recruitment topology, no-report paradigms, measurement/report confounds, matched-performance dissociations, and disorders-of-consciousness recovery. This version is evidence infrastructure, not a claim that mature GNWT, IIT, HOT, RPT, FEP, or related theories have been refuted. The update’s main claim is that consciousness evidence should be coded by role — latent content, local decodability, access, report, confidence, control use, and state capacity — before being used for theory comparison.