Dontopedia

Rotor model

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

Rotor model has 22 facts recorded in Dontopedia across 3 references.

22 facts·21 predicates·3 sources

Mostly:has position signal(1), has residual stream(1), leans heavily on(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (4)

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comparesCompares(1)

concludesZeroDeadLayersConcludes Zero Dead Layers(1)

implementsRotorImplements Rotor(1)

usesArchitectureUses Architecture(1)

Other facts (21)

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.

21 facts
PredicateValueRef
Has Position SignalOmega Rate Term[1]
Has Residual Streamimplied[1]
Leans Heavily onS1 Accumulator[1]
Has Training Length LimitTraining Seq Len[1]
Has All Layers Adding Signalreal signal[1]
Has Layer Count20[1]
Uses Capacity Fullyno layer skipped, no output byte unreachable, no adjacency edge collapsed[1]
Degrades PastTraining Seq Len[1]
Relies on Weak Positioningshrinks position signal[1]
Associated With Resonant Wire LmResonantwirelm[2]
Compared to HelmholtzSame Encoding[2]
Has More Params ThanHelmholtz Model[2]
Has Param Count34001[2]
Param Delta ReasonDelta Proj Weights[2]
Works PerfectlyXenonfun[2]
Rdf:typeModel Architecture[3]
Has Parameter Count34001[3]
Parameter Difference Relative toHelmholtz Model[3]
Operational Statusworks perfectly[3]
Has Speed Greater ThanHelmholtz Model[3]
Configuration for QpskG=2 H=4[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.

hasPositionSignalblah/watt-activation/part-684
ex:omega-rate-term
hasResidualStreamblah/watt-activation/part-684
implied
leansHeavilyOnblah/watt-activation/part-684
ex:s1-accumulator
hasTrainingLengthLimitblah/watt-activation/part-684
ex:training-seq-len
hasAllLayersAddingSignalblah/watt-activation/part-684
real signal
hasLayerCountblah/watt-activation/part-684
20
usesCapacityFullyblah/watt-activation/part-684
no layer skipped, no output byte unreachable, no adjacency edge collapsed
degradesPastblah/watt-activation/part-684
ex:training-seq-len
reliesOnWeakPositioningblah/watt-activation/part-684
shrinks position signal
associatedWithResonantWireLmblah/watt-activation/part-392
ex:resonantwirelm
comparedToHelmholtzblah/watt-activation/part-392
ex:same-encoding
hasMoreParamsThanblah/watt-activation/part-392
ex:helmholtz-model
hasParamCountblah/watt-activation/part-392
34001
paramDeltaReasonblah/watt-activation/part-392
ex:delta-proj-weights
worksPerfectlyblah/watt-activation/part-392
ex:xenonfun
typeblah/watt-activation/390
ex:ModelArchitecture
labelblah/watt-activation/390
Rotor model
hasParameterCountblah/watt-activation/390
34001
parameterDifferenceRelativeToblah/watt-activation/390
ex:helmholtz-model
operationalStatusblah/watt-activation/390
works perfectly
hasSpeedGreaterThanblah/watt-activation/390
ex:helmholtz-model
configurationForQPSKblah/watt-activation/390
G=2 H=4

References (3)

3 references
  1. [1]Part 6849 facts
    ctx:discord/blah/watt-activation/part-684
  2. [2]Part 3926 facts
    ctx:discord/blah/watt-activation/part-392
  3. [3]3907 facts
    ctx:discord/blah/watt-activation/390
    • full textwatt-activation-390
      text/plain2 KBdoc:agent/watt-activation-390/0969ed20-089d-4c11-9ef9-6650032ec4ea
      Show excerpt
      [2026-03-19 03:16] xenonfun: ⏺ Rotor model: 34,001 params (24 more than Helmholtz — the delta_proj weights). Works perfectly. [2026-03-19 03:26] xenonfun: ⏺ 227K tok/s — 25x speedup from the parallel scan. Was 9K with the sequential loop. N

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