Dontopedia
Explore

Resonance Attention

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

Resonance Attention has 37 facts recorded in Dontopedia across 10 references, with 3 live disagreements.

37 facts·31 predicates·10 sources·3 in dispute

Mostly:rdf:type(4), rdfs:label(3), has method(2)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Rdfs:labelin disputerdfs:label

  • ResonanceAttention[8]all time · 158
  • resonance (Kuramoto)[10]sourceall time · 103
  • ResonanceAttention[1]sourceall time · 105

Has Methodin disputehasMethod

Has Messy State HandlinghasMessyStateHandling

Does Not Accept ParameterdoesNotAcceptParameter

Located at LineslocatedAtLines

  • 574, 630, 682[2]all time · Part 108

Has Limitation for O1 Generation QualityhasLimitationForO1GenerationQuality

  • true[3]all time · Part 109

Has Compilation IssuehasCompilationIssue

Has Python Loop OverhasPythonLoopOver

Uses Ema AccumulationusesEMAAccumulation

Uses Kuramoto Phase SyncusesKuramotoPhaseSync

Had Bugs From ReferencehadBugsFromReference

Inbound mentions (8)

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.

assumesAudienceKnowledgeOfCodebaseAssumes Audience Knowledge of Codebase(1)

confirmCorrectnessConfirm Correctness(1)

describesMakeAttentionPassingGateInitDescribes Make Attention Passing Gate Init(1)

hasAttentionTypeHas Attention Type(1)

implementsAttentionTypeImplements Attention Type(1)

includeResonanceAttentionInclude Resonance Attention(1)

includesResonanceAttentionIncludes Resonance Attention(1)

usesAttentionMechanismUses Attention Mechanism(1)

Other facts (19)

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.

19 facts
PredicateValueRef
Removed Hardcoded AstypeMx Float32[4]
Implicates Training Issuenull[9]
References Attention Variantnull[9]
Has Forward Methoduses x.dtype[2]
Exists As Componenttrue[3]
Requires RestructuringVectorize Over Bands[5]
Presupposes Bugs ExistedReference Implementation[4]
Has PropertyMessier State[8]
Has IssueStep Forward Mismatch[6]
DescriptionKuramoto phase sync + EMA accumulation[1]
Requires Restructuring forVectorization[1]
Has Loop Body PropertyVariable Indexing[1]
Incompatible WithMx Compile Feature[1]
Iterates OverK Bands[1]
Implements Python Looptrue[1]
Has Code LocationLines 857 877[1]
Quality Adjusted Tokens Per Second4700[10]
Tokens Per Second175000[10]
Perplexity Score7.89[10]

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.

descriptionblah/watt-activation/105
Kuramoto phase sync + EMA accumulation
doesNotAcceptParameterblah/watt-activation/part-108
ex:gate-init
existsAsComponentblah/watt-activation/part-109
true
hadBugsFromReferenceblah/watt-activation/part-107
ex:reference-implementation
hasCodeLocationblah/watt-activation/105
ex:lines-857-877
hasCompilationIssueblah/watt-activation/part-105
ex:python-loop
hasForwardMethodblah/watt-activation/part-108
uses x.dtype
hasIssueblah/watt-activation/106
ex:step-forward-mismatch
hasLimitationForO1GenerationQualityblah/watt-activation/part-109
true
hasLoopBodyPropertyblah/watt-activation/105
ex:variable-indexing
hasMessyStateHandlingblah/watt-activation/part-158
ex:6-state-keys
hasMethodblah/watt-activation/106
ex:forward-method
hasMethodblah/watt-activation/106
ex:step-method
hasPropertyblah/watt-activation/158
ex:messier-state
hasPythonLoopOverblah/watt-activation/part-105
ex:k-bands
implementsPythonLoopblah/watt-activation/105
true
implicatesTrainingIssueblah/watt-activation/part-111
null
incompatibleWithblah/watt-activation/105
ex:mx-compile-feature
iteratesOverblah/watt-activation/105
ex:k-bands
locatedAtLinesblah/watt-activation/part-108
574, 630, 682
perplexityScoreblah/watt-activation/103
7.89
presupposesBugsExistedblah/watt-activation/part-107
ex:reference-implementation
qualityAdjustedTokensPerSecondblah/watt-activation/103
4700
labelblah/watt-activation/158
ResonanceAttention
labelblah/watt-activation/103
resonance (Kuramoto)
labelblah/watt-activation/105
ResonanceAttention
typeblah/watt-activation/158
ex:AttentionClass
typeblah/watt-activation/103
ex:AttentionMechanism
typeblah/watt-activation/105
ex:CodeModule
typeblah/watt-activation/106
ex:SoftwareComponent
referencesAttentionVariantblah/watt-activation/part-111
null
removedHardcodedAstypeblah/watt-activation/part-107
ex:mx-float32
requiresRestructuringblah/watt-activation/part-105
ex:vectorize-over-bands
requiresRestructuringForblah/watt-activation/105
ex:vectorization
tokensPerSecondblah/watt-activation/103
175000
usesEMAAccumulationblah/watt-activation/part-105
ex:ema
usesKuramotoPhaseSyncblah/watt-activation/part-105
ex:kuramoto

References (10)

10 references
  1. customctx:discord/blah/watt-activation/105
    • full textwatt-activation-105
      text/plain3 KBdoc:agent/watt-activation-105/561920dc-7f65-4ab4-80fa-8e3162aa9046
      Show excerpt
      [2026-03-08 19:26] xenonfun: ``` What They're Leaving on the Table 1. No mx.compile — Their benchmark and model run eagerly. From our experience with AnchorKAN at similar scale, compiled step gives ~1.5-2x throughput improvement on M
  2. [2]Part 1083 facts
    customctx:discord/blah/watt-activation/part-108
  3. [3]Part 1092 facts
    customctx:discord/blah/watt-activation/part-109
  4. [4]Part 1073 facts
    customctx:discord/blah/watt-activation/part-107
  5. [5]Part 1055 facts
    customctx:discord/blah/watt-activation/part-105
  6. customctx:discord/blah/watt-activation/106
    • full textwatt-activation-106
      text/plain3 KBdoc:agent/watt-activation-106/1cc0dbfa-458e-4f02-b7b6-1c37e3d3a7f8
      Show excerpt
      [2026-03-08 19:52] xenonfun: ``` total used free wired compressed 98304Mi 88429Mi 8982Mi 59988Mi 100Mi ``` (files: Screenshot_2026-03-08_at_3.52.13_PM.png) [2026-03-08 19:57] xenon
  7. [7]Part 1581 fact
    customctx:discord/blah/watt-activation/part-158
  8. customctx:discord/blah/watt-activation/158
    • full textwatt-activation-158
      text/plain2 KBdoc:agent/watt-activation-158/746cbfb1-750c-4df5-ae90-78f0235bc1e9
      Show excerpt
      [2026-03-09 16:27] xenonfun: ⏺ For batch prefill, each attention class's forward() currently runs _gated_cumsum over the full sequence and returns output — but throws away the final recurrent state. The step() method maintains that state
  9. [9]Part 1112 facts
    customctx:discord/blah/watt-activation/part-111
  10. customctx:discord/blah/watt-activation/103
    • full textwatt-activation-103
      text/plain3 KBdoc:agent/watt-activation-103/6d322edd-8b82-4859-be6f-bc7033a53fe1
      Show excerpt
      [2026-03-08 18:36] xenonfun: It appears your agents have actually already done all this work <@1211062099137265723> in your repo already. https://github.com/MonumentalSystems/harmonic-gpt/blob/master/docs/M3_DEPLOY_NOTES.md (files: Screens

See also

Keep researching

Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.