The Cross-Substrate Access Assay: What an Indicator Test Must Declare to Travel from Brain to Language Model
cond-mat.dis-nn, q-bio.NC
Submitted: 2026-09-14
Updated: 2026-09-22
Code: https://github.com/Pietervr/recoverable-self-coding
Terminology
Sources
- Could a Large Language Model be Conscious?
- Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
- Verbalizable Representations Form a Global Workspace in Language Models
- Position: Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead
- Calibration and transfer in indicator-based assessments of artificial consciousness
- From Prompts to Constructs: A Dual-Validity Framework for LLM Research in Psychology
- The Ignition Index: Measuring Global Workspace Dynamics in Language Models
- The Ignition Is Real, and It Lives at the Readout: Latent composition, difficulty-clocked ignition, and the interface-constituted commit in a recurrent-depth reasoner
- Looped Transformers under the Jacobian Lens: Does the Global Workspace Survive Recurrence?
- First-Order Recoverability Collapse in Self-Referential Information Decoders
- Cross-validation: what does it estimate and how well does it do it?
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