HOT-2: Metacognitive monitoring distinguishing reliable perceptual representations from noise

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

• HOT-1: Generative, top-down or noisy perception modulesconcept0.806
  Indicator: multiple sources of perceptual activity including top-down and noise required for reality monitoring.
• HOT-3: Agency guided by a general belief-formation system, with strong disposition to update beliefs per monitoring outputsconcept0.741
  Indicator: consumer system that relies on 'real' tagged perceptions for rational action.
• RPT-2: Input modules generating organised, integrated perceptual representationsconcept0.739
  Indicator: perceptual organization beyond feature extraction.
• Verbal reports (the Turing Test) and homology to human brains are utterly inadequate criteria for assessing the status of novel, unconventional agents that offer no familiar touchstone of phylogeny or anatomy.claim0.725
  Core claim that standard criteria fail for novel agents.
• Neural networks, trained with different objectives on different data and modalities, are converging to a shared statistical model of reality in their representation spaces.quote0.723
  The paper's central thesis statement, presented prominently after the abstract
• We hypothesize that native self-report, fine-tuned introspection models, and trained activation-to-language systems will show different performance on bias-resistant localization and strength benchmarkshypothesis0.722
  Comparative prediction motivating future work contrasting different approaches to LLM self-knowledge
• Precise characterization of the perceptual representational format — specific, sustained, globally constitutive — remains an open problemconcept0.721
  Acknowledged gap in CIMC's theory: the exact computational description of the perceptual regime is not yet specified
• Metacognitive Representation Criterion (Higher-Order Thought)concept0.720
  Core criterion for introspection: model must possess internal metacognitive representation of state prior to verbalization, not merely translate impulse directly into language.