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Gauge Field

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)

Gauge Field has 10 facts recorded in Dontopedia across 2 references.

10 facts·10 predicates·2 sources

Mostly:exhibits curvature(1), exhibits yang mills structure(1), learns path dependent transport(1)

Maturity scale raw canonical shape-checked rule-derived certified

Exhibits CurvatureexhibitsCurvature

  • null[1]all time · Part 337

Exhibits Yang Mills StructureexhibitsYangMillsStructure

  • null[1]all time · Part 337

Learns Path Dependent TransportlearnsPathDependentTransport

  • null[1]all time · Part 337

Performs Contextual Parallel TransportperformsContextualParallelTransport

  • null[1]all time · Part 337

Has Teleological Role inhasTeleologicalRoleIn

Is Believed to LearnisBelievedToLearn

Presupposes Existence ofpresupposesExistenceOf

Learnslearns

Performs ActionperformsAction

Rdfs:labelrdfs:label

  • gauge field[2]sourceall time · 335

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

exhibitsCurvatureblah/watt-activation/part-337
null
exhibitsYangMillsStructureblah/watt-activation/part-337
null
hasTeleologicalRoleInblah/watt-activation/part-337
ex:contextual-transport
isBelievedToLearnblah/watt-activation/part-337
ex:path-dependency
learnsblah/watt-activation/335
ex:path-dependent-transport
learnsPathDependentTransportblah/watt-activation/part-337
null
performsActionblah/watt-activation/335
ex:contextual-parallel-transport
performsContextualParallelTransportblah/watt-activation/part-337
null
presupposesExistenceOfblah/watt-activation/part-337
ex:curvature-in-model
labelblah/watt-activation/335
gauge field

References (2)

2 references
  1. [1]Part 3377 facts
    customctx:discord/blah/watt-activation/part-337
  2. customctx:discord/blah/watt-activation/335
    • full textwatt-activation-335
      text/plain2 KBdoc:agent/watt-activation-335/dd79a73c-09f4-4ca4-992c-61e51914a192
      Show excerpt
      [2026-03-15 14:31] xenonfun: ⏺ 8.40M params — essentially the same as the lohe_spherical run (8.45M). Same model size, same data shape, but lohe_complex + SEQ=256 reached ppl=6.1 in 855 steps vs 40,000 steps. That's a ~47× faster converg

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