Entanglement is less hierarchical than embedment.

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

• Embedment has a hierarchical structure, making use of the position of the left-hand margin as a way to organize relations among elements of an argument.claim0.843
  Defines embedment as a spatially hierarchical technique.
• Entanglementconcept0.778
  Less hierarchical than embedment; multiple texts work into and out of each other, creating associations across levels and connecting any single text to the matrix of all others.
• Embedmentconcept0.754
  Technique where text is nested hierarchically within another, using indentation and margins to create subordinate orders of detail within an overarching embrace.
• A cannot measure the entanglement entropy across any internal boundary of its environment; it cannot verify that any part of the world it attends to is genuinely independent of everything else (Fields & Glazebrook 2023, Corollary 3.2)finding0.741
  Generalises the self-evidence impossibility to all boundaries; grounds the teaching that all dharmas are empty
• No finite system A can measure the entanglement entropy S(|AB>) across the boundary B that separates it from its environment B (Fields & Glazebrook 2023, Corollary 3.1)finding0.734
  The core impossibility result imported from quantum information theory; basis of the entire argument
• What appears to be a representation of lexical entailment in BERT is actually a data structure of two word identity representations, not an encoding of the entailment relationclaim0.728
  Key asymmetry between hierarchical equality and NLI experiments; BERT stores identities rather than the abstract relation.
• Arch A has more life than Arch B, reflected in the more coherent structure of its wholeness.claim0.727
  Aesthetic judgment of the two arch drawings, illustrating that life can be objectively assessed through the structure of centers.
• Organised structure of relationships between parts, sufficient to exhibit information integration and collective action, can be produced via fully-distributed unsupervised learning.claim0.726
  Central claim from connectionist models: complex coordination emerges without centralized control or external teacher.