The absolute or isolated value of any IIT estimate lacks intrinsic meaning; IIT estimates are only interpretable when compared across varying levels or contents of consciousness under consistent contextual conditions.

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Can IIT estimates provide a stronger basis for interpreting variations in ToM performance than Span Representation, independent of any consciousness estimate?question0.796
  Criterion 3 operationalization: requires IIT mean AUC to exceed Span Representation mean AUC.
• IIT alone cannot serve as a definitive criterion for identifying consciousness in LLM representations due to its panpsychist implications challenging its specificity.claim0.791
  Motivates the hybrid approach combining IIT, Span Representation, and multiple criteria.
• Can estimates of Φ, the primary metric of IIT, robustly differentiate responses across distinct ToM performance levels?question0.768
  Criterion 1 operationalization: requires >80% 'good' cases (higher score → higher Φ) per ToM task.
• Directing response attention to complement syntax and/or mental state verbs (MSV) yields no significant alterations in IIT estimates compared to entire stimulus analysis.finding0.765
  Suggests LLMs do not represent complement/MSV linguistic features in the same way as they are crucial for human ToM development.
• Tacit Assumption 9: The intuition that something profound is happening in a great work of art is, in scientific terms, meaningless.claim0.761
  Ninth assumption negating the deep significance of aesthetic experience within the scientific picture.
• IIT is incompatible with computationalist functionalism because Phi is defined as intrinsic to physical causal structure, allowing two functionally identical systems to differ in consciousnessclaim0.760
  CIMC's explicit rejection of IIT as operating outside the representationalist and functionalist framework
• Criterion 3: IIT estimates must achieve higher mean AUC than Span Representation for ToM score classification.concept0.760
  Third of three operational criteria; distinguishes consciousness from inherent LLM representational separations.
• Under spatio permutation controls, IIT consciousness estimates outperform Span Representation in mean AUC in several cases (LLaMA3.1-70B on Hinting and Irony, Mistral-7B on Irony, LLaMA3.1-8B on Strange Stories).finding0.759
  Contrasts with temporal permutation where Span Representation dominates; suggests spatio permutation reveals different dynamics.