Dontopedia

.item()

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

.item() has 7 facts recorded in Dontopedia across 1 reference.

7 facts·6 predicates·1 sources

Mostly:rdf:type(1), used in function(1), preceded by(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.

lacksOperationLacks Operation(1)

removesFeatureRemoves Feature(1)

Other facts (6)

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.

6 facts
PredicateValueRef
Rdf:typeOperation[1]
Used in FunctionFunction Revive Dead Codes[1]
Preceded byMx Sum Operation[1]
Creates Sync Barriertrue[1]
Frequencyevery forward during training[1]
Suggested AlternativeMx Any Check[1]

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.

typeblah/watt-activation/295
ex:Operation
labelblah/watt-activation/295
.item()
usedInFunctionblah/watt-activation/295
ex:function-revive-dead-codes
precededByblah/watt-activation/295
ex:mx-sum-operation
createsSyncBarrierblah/watt-activation/295
true
frequencyblah/watt-activation/295
every forward during training
suggestedAlternativeblah/watt-activation/295
ex:mx-any-check

References (1)

1 references
  1. [1]2957 facts
    ctx:discord/blah/watt-activation/295
    • full textwatt-activation-295
      text/plain3 KBdoc:agent/watt-activation-295/3934680b-d58b-4c73-8470-2c337c1a045e
      Show excerpt
      [2026-03-14 04:39] xenonfun: ```❯ ⏺ Now I have the full picture. Here's my MLX performance review: Spherical VQ — MLX Performance Review Good patterns: 1. _l2_normalize uses + eps inside sqrt (line 38) — matches lohe_normalize sema

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