Dontopedia

coupling matrix

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

coupling matrix has 10 facts recorded in Dontopedia across 6 references.

10 facts·9 predicates·6 sources

Mostly:must be learned from(1), pre masked(1), requires significant gradient time(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (4)

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.

hasLargeMatmulHas Large Matmul(1)

isFineIs Fine(1)

sufficesForEarlyTrainingSuffices for Early Training(1)

withWith(1)

Other facts (9)

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.

9 facts
PredicateValueRef
Must Be Learned FromGradient Updates[1]
Pre MaskedC Masked[1]
Requires Significant Gradient Time200 Steps[2]
Lacks Time to Develop at Steps200[2]
Develops From GradientsGradients[2]
Is Masked by TopologyAnchor Anchor Dynamics[3]
Rdf:typeMatrix[4]
Learned Viagradient updates[5]
Has Development Statenot had time to develop significant values from gradients[6]

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.

mustBeLearnedFromblah/watt-activation/part-314
ex:gradient-updates
preMaskedblah/watt-activation/part-314
ex:c-masked
requiresSignificantGradientTimeblah/watt-activation/part-315
ex:200-steps
lacksTimeToDevelopAtStepsblah/watt-activation/part-315
200
developsFromGradientsblah/watt-activation/part-315
ex:gradients
isMaskedByTopologyblah/watt-activation/part-312
ex:anchor-anchor-dynamics
typeblah/watt-activation/310
ex:Matrix
labelblah/watt-activation/312
coupling matrix
learnedViablah/watt-activation/312
gradient updates
hasDevelopmentStateblah/watt-activation/313
not had time to develop significant values from gradients

References (6)

6 references
  1. [1]Part 3142 facts
    ctx:discord/blah/watt-activation/part-314
  2. [2]Part 3153 facts
    ctx:discord/blah/watt-activation/part-315
  3. [3]Part 3121 fact
    ctx:discord/blah/watt-activation/part-312
  4. [4]3101 fact
    ctx:discord/blah/watt-activation/310
    • full textwatt-activation-310
      text/plain2 KBdoc:agent/watt-activation-310/def19978-e389-42a5-b76d-effa98546fcf
      Show excerpt
      [2026-03-15 00:34] xenonfun: ⏺ Good implementation. Here's my review: Topology-Aware AnchorKAN — Review What it does: - Adds 4 anchor graph topologies: complete (default/existing), ring, path, star - _anchor_topology_mask() builds
  5. [5]3122 facts
    ctx:discord/blah/watt-activation/312
    • full textwatt-activation-312
      text/plain2 KBdoc:agent/watt-activation-312/a94d94c9-cb05-4130-b4b4-f637d9a3825c
      Show excerpt
      [2026-03-15 01:16] xenonfun: ⏺ Topology-Aware AnchorKAN — Full Review Correctness: Good 1. Manifold consistency — oscillators stay on the unit circle via _cnorm after every dynamics step. The KAN edge splines operate on phase differen
  6. [6]3131 fact
    ctx:discord/blah/watt-activation/313
    • full textwatt-activation-313
      text/plain3 KBdoc:agent/watt-activation-313/cf51bfc5-991d-4ede-bf30-9671c3b0fb08
      Show excerpt
      [2026-03-15 01:25] xenonfun: ⏺ No — the benchmark used different configs than the training logs. Let me compare: ``` ┌───────────┬──────────────────┬──────────────────┐ │ │ Training Logs │ My Benchmark │ ├───────────┼

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