Dontopedia

Output Projection

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

Output Projection has 9 facts recorded in Dontopedia across 4 references, with 1 live disagreement.

9 facts·8 predicates·4 sources·1 in dispute

Mostly:rdf:type(2), spans lines(1), causes loss reduction(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.

identifiesInsertionPointBeforeIdentifies Insertion Point Before(1)

locatedBeforeLocated Before(1)

Other facts (9)

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.

9 facts
PredicateValueRef
Rdf:typeCode Location[3]
Rdf:typeModel Component[4]
Spans Lines372-376[1]
Causes Loss ReductionLoss[2]
Dominates Loss Reductiontrue[2]
Learns to Scale Featurestrue[2]
Has Line Number372[3]
Role in Trainingdominating loss reduction[4]
Behavior Descriptionlearning to scale the features[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.

spansLinesblah/watt-activation/part-371
372-376
causesLossReductionblah/watt-activation/part-500
ex:loss
dominatesLossReductionblah/watt-activation/part-500
true
learnsToScaleFeaturesblah/watt-activation/part-500
true
typeblah/watt-activation/369
ex:CodeLocation
hasLineNumberblah/watt-activation/369
372
typeblah/watt-activation/497
ex:ModelComponent
roleInTrainingblah/watt-activation/497
dominating loss reduction
behaviorDescriptionblah/watt-activation/497
learning to scale the features

References (4)

4 references
  1. [1]Part 3711 fact
    ctx:discord/blah/watt-activation/part-371
  2. [2]Part 5003 facts
    ctx:discord/blah/watt-activation/part-500
  3. [3]3692 facts
    ctx:discord/blah/watt-activation/369
    • full textwatt-activation-369
      text/plain2 KBdoc:agent/watt-activation-369/0cb2b937-fe59-4554-9b34-62ddb285f694
      Show excerpt
      [2026-03-18 16:16] xenonfun: Yes — this is very relevant, and it changes the ranking. Given: S1 plateauing again at 4.1% DC continuing to rise and the fact that you already have AnchorKAN implemented and tested I would now rank the mec
  4. [4]4973 facts
    ctx:discord/blah/watt-activation/497
    • full textwatt-activation-497
      text/plain2 KBdoc:agent/watt-activation-497/e72fbd50-bc16-4a38-8957-fe8531b9864c
      Show excerpt
      [2026-03-22 17:52] xenonfun: if I am seeing this correct we are using 8 MB of memory. ⏺ The FD training is diverging — omega and gamma blowing up. The Euler ODE integrator is unstable at these parameter scales. This needs: 1. Much lower

See also

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