Dontopedia

cumsum

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

cumsum has 16 facts recorded in Dontopedia across 9 references, with 1 live disagreement.

16 facts·12 predicates·9 sources·1 in dispute

Mostly:computes(2), enables o(t)parallelism(1), saturates gpu better at(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (13)

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.

addsOperationAdds Operation(1)

advocatesRestructuringAdvocates Restructuring(1)

avoidsAvoids(1)

avoidsOperationAvoids Operation(1)

concernsKernelConcerns Kernel(1)

hasPrimitivesHas Primitives(1)

implementsUsingImplements Using(1)

injectedBeforeInjected Before(1)

isMemoryBottleneckIs Memory Bottleneck(1)

propagatesErrorsPropagates Errors(1)

usesChainRuleThroughUses Chain Rule Through(1)

usesCumsumUses Cumsum(1)

usesImplementationApproachUses Implementation Approach(1)

Other facts (13)

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.

13 facts
PredicateValueRef
ComputesCausal Greens Function of the Line[5]
ComputesPosition Dependent Effective Counts[7]
Enables O(t)parallelismtrue[1]
Saturates Gpu Better atLonger Sequences[2]
Matches Fft to Atol1e-4[2]
Improves Gpu Utilization atLonger Sequences[2]
Within Single Sync StepTrue[3]
Over Spatial Time AxisTrue[3]
Is Mean Field of All Positions Up to TTrue[3]
Provides BetterMarginal Gain Over Grade[4]
Is Better ThanGrade[4]
Operates on Tensor Shape(T,K)[7]
Applied to Tensor SizeTiny[7]

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.

enablesO(T)Parallelismblah/watt-activation/part-101
true
saturatesGpuBetterAtblah/watt-activation/part-104
ex:longer-sequences
matchesFftToAtolblah/watt-activation/part-104
1e-4
improvesGpuUtilizationAtblah/watt-activation/part-104
ex:longer-sequences
withinSingleSyncStepblah/watt-activation/part-110
ex:true
overSpatialTimeAxisblah/watt-activation/part-110
ex:true
isMeanFieldOfAllPositionsUpToTblah/watt-activation/part-110
ex:true
providesBetterblah/watt-activation/part-379
ex:marginal-gain-over-grade
isBetterThanblah/watt-activation/part-379
ex:grade
computesblah/watt-activation/part-325
ex:causal-greens-function-of-the-line
labelblah/watt-activation/74
cumsum
operatesOnTensorShapeblah/watt-activation/107
(T,K)
computesblah/watt-activation/107
ex:position-dependent-effective-counts
appliedToTensorSizeblah/watt-activation/107
ex:tiny
labelblah/watt-activation/345
cumsum
labelblah/watt-activation/458
cumsum

References (9)

9 references
  1. [1]Part 1011 fact
    ctx:discord/blah/watt-activation/part-101
  2. [2]Part 1043 facts
    ctx:discord/blah/watt-activation/part-104
  3. [3]Part 1103 facts
    ctx:discord/blah/watt-activation/part-110
  4. [4]Part 3792 facts
    ctx:discord/blah/watt-activation/part-379
  5. [5]Part 3251 fact
    ctx:discord/blah/watt-activation/part-325
  6. [6]741 fact
    ctx:discord/blah/watt-activation/74
    • full textwatt-activation-74
      text/plain3 KBdoc:agent/watt-activation-74/f0e790ce-8e1d-4951-819d-93d9164a6692
      Show excerpt
      [2026-03-07 18:16] xenonfun: The loop formulation exactly matches the quadratic reference A_ij = Σ_a w_ia * w_ja. Now the user has sent a second message with an even better approach — the streaming prefix-state formulation using two eins
  7. [7]1073 facts
    ctx:discord/blah/watt-activation/107
    • full textwatt-activation-107
      text/plain2 KBdoc:agent/watt-activation-107/7f46d3a6-a9e5-4ccd-b3ab-17637a2a1afc
      Show excerpt
      [2026-03-08 20:49] xenonfun: performance impact? ⏺ Negligible. The current forward already does heavy _gated_cumsum on (B,T,H,K,d_h) tensors. The fix just adds one extra cumsum on a (T,K) ones tensor to get position-dependent effective cou
  8. [8]3451 fact
    ctx:discord/blah/watt-activation/345
    • full textwatt-activation-345
      text/plain3 KBdoc:agent/watt-activation-345/c59946eb-7ad9-465b-939c-f70436033800
      Show excerpt
      [2026-03-16 01:39] xenonfun: ⏺ Yes — principled noise injection is exactly what communications systems do. Three reasons it could help: 1. Stochastic resonance. In nonlinear systems (which Lohe sync IS), a small amount of noise can actua
  9. [9]4581 fact
    ctx:discord/blah/watt-activation/458
    • full textwatt-activation-458
      text/plain2 KBdoc:agent/watt-activation-458/de149b38-35c3-463f-b547-cd05f36c46d2
      Show excerpt
      [2026-03-21 14:35] xenonfun: --- ## NEEDS TESTING (builds, untested) - [ ] LoheSphericalComplexAttention (lohe_complex.rs) - [ ] LoheSphericalComplexSplitAttention (lohe_complex_split.rs) - [ ] QuaternionEncoder (quaternion_enc.rs) - [ ]

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.