v3
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
v3 has 36 facts recorded in Dontopedia across 3 references, with 3 live disagreements.
Mostly:trained with data(2), has training steps(2), wins for production today on(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (10)
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.
comparedWithCompared With(1)
- Helmholtz Model
ex:helmholtz-model
comparesCompares(1)
- Experiment 1
ex:experiment-1
doesNotDegradeMoreGracefullyThanDoes Not Degrade More Gracefully Than(1)
- Helmholtz Model
ex:helmholtz-model
hasConsistentlyHigherSpEntropyThanHas Consistently Higher Sp Entropy Than(1)
- Helmholtz Model
ex:helmholtz-model
hasConsistentlyLowerRGlobalThanHas Consistently Lower R Global Than(1)
- Helmholtz Model
ex:helmholtz-model
hasHigherSpectralEntropyThanHas Higher Spectral Entropy Than(1)
- Helmholtz Model
ex:helmholtz-model
hasLowerSpectralEntropyThanHas Lower Spectral Entropy Than(1)
- Helmholtz Layer 0
ex:helmholtz-layer-0
isOneWayToEncodeSameInformationAsIs One Way to Encode Same Information As(1)
- Helmholtz Model
ex:helmholtz-model
progressesThroughVersionsProgresses Through Versions(1)
- Training
ex:training
targetsModelsTargets Models(1)
- Convert V1 V3 to Bincode
ex:convert-v1-v3-to-bincode
Other facts (35)
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.
| Predicate | Value | Ref |
|---|---|---|
| Trained With Data | Librispeech Dataset | [1] |
| Trained With Data | Coco 566k Dataset | [1] |
| Has Training Steps | 12K | [1] |
| Has Training Steps | 500 | [3] |
| Wins for Production Today on | Simplicity | [2] |
| Wins for Production Today on | Throughput | [2] |
| Has Final Ppl | 75.6 | [1] |
| Wins on No Metric Tested | null | [2] |
| Bpb Degradation Percentage From6 To3 Layers | 11% | [2] |
| Has40 Percent Energy in Mode0 | null | [2] |
| Has DC Dominant Encoding | null | [2] |
| Has Worse Bpb at Lower Depths | null | [2] |
| Higher Throughput at Lower Depths | null | [2] |
| Is One Way to Encode Same Information As | Helmholtz Model | [2] |
| Is Single Carrier | null | [2] |
| Loses Same Amount Per Removed Layer As | Helmholtz Model | [2] |
| R Global Range | 0.50-0.54 | [2] |
| Simpler Than | Helmholtz Model | [2] |
| Sp Entropy Range | 1.87-1.90 | [2] |
| Bpb Degradation From6 To3 Layers | 0.252 | [2] |
| Rdf:type | Model Architecture | [3] |
| Has Spectral Entropy Mean | 1.893 | [3] |
| Has Coherence Spike | true | [3] |
| Uses Ring Sync | true | [3] |
| Has Align Delta Mean | 0.369 | [3] |
| Has Lohe Sync Step | Lohe Sync Step | [3] |
| Has Cascade Index Mean | 0.002 | [3] |
| Desynchronates in Final Layer | true | [3] |
| Has Core Spectral Difference | synchronizes sharply | [3] |
| Has Higher Coherence Spike | true | [3] |
| Has Higher Alignment Delta | true | [3] |
| Has Lower Entropy | true | [3] |
| Has Same Information Content As Helmholtz | true | [3] |
| Has Different Encoding Strategy Than Helmholtz | true | [3] |
| Compared With | Helmholtz Model | [3] |
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.
References (3)
ctx:discord/blah/watt-activation/part-251ctx:discord/blah/watt-activation/part-455ctx:discord/blah/watt-activation/450- full textwatt-activation-450text/plain2 KB
doc:agent/watt-activation-450/652d4cdf-7420-4c67-925e-a554f75d0bebShow excerpt
[2026-03-21 04:37] xenonfun: ## Spectral Characterization: v3 vs Helmholtz (per-layer, 500-step trained) ``` Key findings: 1. Helmholtz has higher spectral entropy in 5 of 6 layers (mean 1.967 vs 1.893). The fiber's multi-head bandpass …
See also
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