Dontopedia

Letter E

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

Letter E has 5 facts recorded in Dontopedia across 4 references.

5 facts·4 predicates·4 sources

Mostly:has scrabble score(2), exhibits medium effect size(1), has cosine similarity for contexts(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (2)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

comparesContextOfCompares Context of(1)

followedByFollowed by(1)

Other facts (5)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

5 facts
PredicateValueRef
Has Scrabble Score1[1]
Has Scrabble Score1[2]
Exhibits Medium Effect Sizenull[3]
Has Cosine Similarity for Contexts0.52[3]
Rdf:typeCharacter[4]

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.

hasScrabbleScoreblah/omega/part-565
1
hasScrabbleScoreblah/omega/part-562
1
exhibitsMediumEffectSizeblah/watt-activation/part-337
null
hasCosineSimilarityForContextsblah/watt-activation/part-337
0.52
typeblah/watt-activation/335
ex:Character

References (4)

4 references
  1. [1]Part 5651 fact
    ctx:discord/blah/omega/part-565
  2. [2]Part 5621 fact
    ctx:discord/blah/omega/part-562
  3. [3]Part 3372 facts
    ctx:discord/blah/watt-activation/part-337
  4. [4]3351 fact
    ctx: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

See also

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