Dontopedia

Downstream Model

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

Downstream Model has 7 facts recorded in Dontopedia across 2 references.

7 facts·6 predicates·2 sources

Mostly:learned to predict(2), learned through(1), can learn through(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (1)

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enablesLearningEnables Learning(1)

Other facts (7)

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.

7 facts
PredicateValueRef
Learned to Predictbytes[1]
Learned to Predictbytes[2]
Learned ThroughFrozen Vq[1]
Can Learn ThroughStable Symbolic Bottleneck[1]
Rdf:typeNeural Network[2]
Training Statusdownstream trained[2]
Learns ThroughVq Layer[2]

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.

learnedThroughblah/watt-activation/part-284
ex:frozen-vq
learnedToPredictblah/watt-activation/part-284
bytes
canLearnThroughblah/watt-activation/part-284
ex:stable-symbolic-bottleneck
typeblah/watt-activation/282
ex:NeuralNetwork
trainingStatusblah/watt-activation/282
downstream trained
learnedToPredictblah/watt-activation/282
bytes
learnsThroughblah/watt-activation/282
ex:vq-layer

References (2)

2 references
  1. [1]Part 2843 facts
    ctx:discord/blah/watt-activation/part-284
  2. [2]2824 facts
    ctx:discord/blah/watt-activation/282
    • full textwatt-activation-282
      text/plain2 KBdoc:agent/watt-activation-282/43947283-bf7a-423b-9407-91a35d6b20a8
      Show excerpt
      [2026-03-13 23:35] xenonfun: ``` ⏺ Two-Phase Training Result Phase 1 (code formation): Healthy - Utilization: 31.6% (up from 22% in earlier run — improving) - Perplexity: 7.2 out of 32 (good spread) - Top-1: 30% (no single code do

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