Image is modeled as continuous infinite 2D space (R^2), giving resolution independence.

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

• Image denotes a function from 2D continuous location to color.finding0.770
• Most independent dimension pair is aesthetic_response and boundary_awareness (rho=0.553); most correlated is prediction_error and conceptual_crystallization (rho=0.886)finding0.754
  Characterizes internal structure of the six scoring dimensions
• An unfolding process, if faithfully applied, will dissolve any arbitrary initial image because reality and common sense will override it.claim0.753
  Key principle about images vs. unfolding.
• The two-dimensional subspace reported by Burger et al. (2024) seems to reflect a stage of transition in the model's processing, rather than a universal property of truth directions.quote0.749
  Load-bearing interpretive claim about the layer-specificity of Burger et al.'s finding.
• In portraiture, as in architecture, it is the wholeness which is the real thing that lies beneath the surface and determines everything.claim0.742
  Generalization from the Matisse example: artistic success depends on capturing wholeness.
• PMI computed from color cooccurrences in CIFAR-10 images yields a perceptual color representation closely matching both CIELAB space and language model embeddings (SimCSE, RoBERTa)finding0.742
  Validates theoretical PMI convergence claim on real data
• A straightforward approach to directly generate images via unified models is computationally expensive and architecturally non-trivial.claim0.733
  Critique of direct image generation approach.
• Precise characterization of the perceptual representational format — specific, sustained, globally constitutive — remains an open problemconcept0.733
  Acknowledged gap in CIMC's theory: the exact computational description of the perceptual regime is not yet specified