Dontopedia

C

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

C has 22 facts recorded in Dontopedia across 6 references, with 1 live disagreement.

22 facts·13 predicates·6 sources·1 in dispute

Mostly:has seed(4), has dt base(2), has mode(2)

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.

comparesValBpbCompares Val Bpb(1)

comprisesRunsComprises Runs(1)

hasRunConfigurationHas Run Configuration(1)

sS(1)

Other facts (20)

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.

20 facts
PredicateValueRef
Has SeedSeed 42[1]
Has Seed42[2]
Has Seed42[4]
Has Seed42[5]
Has Dt Base0.15[1]
Has Dt Base0.15[5]
Has ModeFixed Mode[1]
Has ModeFixed Mode[5]
Has PurposeIs adaptive just = smaller step?[1]
Has PurposeIs adaptive just = smaller step?[5]
Rdf:typeExperiment Run[4]
Rdf:typeExperiment Run[5]
Tests Hypothesisadaptive just = smaller step[1]
Is Smaller Step AblationTrue[2]
Has Fixed Dt0.15[2]
Ablates Smaller ThanRun A1[2]
Estimated Time After D~3h[3]
Has Configurationfixed dt=0.15[4]
Estimated Time~3h[6]
Has Statusrunning[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.

testsHypothesisblah/watt-activation/part-350
adaptive just = smaller step
hasDtBaseblah/watt-activation/part-350
0.15
hasModeblah/watt-activation/part-350
ex:fixed-mode
hasPurposeblah/watt-activation/part-350
Is adaptive just = smaller step?
hasSeedblah/watt-activation/part-350
ex:seed-42
isSmallerStepAblationblah/watt-activation/part-349
ex:true
hasFixedDtblah/watt-activation/part-349
0.15
hasSeedblah/watt-activation/part-349
42
ablatesSmallerThanblah/watt-activation/part-349
ex:run-a1
estimatedTimeAfterDblah/watt-activation/part-689
~3h
typeblah/watt-activation/347
ex:ExperimentRun
labelblah/watt-activation/347
C
hasConfigurationblah/watt-activation/347
fixed dt=0.15
hasSeedblah/watt-activation/347
42
typeblah/watt-activation/348
ex:ExperimentRun
labelblah/watt-activation/348
C
hasModeblah/watt-activation/348
ex:fixed-mode
hasDtBaseblah/watt-activation/348
0.15
hasSeedblah/watt-activation/348
42
hasPurposeblah/watt-activation/348
Is adaptive just = smaller step?
estimatedTimeblah/watt-activation/686
~3h
hasStatusblah/watt-activation/686
running

References (6)

6 references
  1. [1]Part 3505 facts
    ctx:discord/blah/watt-activation/part-350
  2. [2]Part 3494 facts
    ctx:discord/blah/watt-activation/part-349
  3. [3]Part 6891 fact
    ctx:discord/blah/watt-activation/part-689
  4. [4]3474 facts
    ctx:discord/blah/watt-activation/347
    • full textwatt-activation-347
      text/plain2 KBdoc:agent/watt-activation-347/f5c35cb2-4a8a-467c-ac77-0754bba63d48
      Show excerpt
      [2026-03-16 15:40] xenonfun: trying to get dynamics we wanted from start to really work, fact is its been doing very well and most of signal has been getting smashed. finally free of normalization in layers, that is where our amplitude sign
  5. [5]3486 facts
    ctx:discord/blah/watt-activation/348
    • full textwatt-activation-348
      text/plain3 KBdoc:agent/watt-activation-348/1be0ce40-36ac-4d58-b6a1-76cdbb6b08df
      Show excerpt
      [2026-03-16 15:57] xenonfun: ``` ⏺ Launched. Here's the experiment table: dt_adaptive Ablation Suite ┌─────┬─────────────┬─────────┬──────┬──────────────────────────────────┐ │ Run │ Mode │ dt_base │ Seed │ Purpos
  6. [6]6862 facts
    ctx:discord/blah/watt-activation/686
    • full textwatt-activation-686
      text/plain3 KBdoc:agent/watt-activation-686/87dc1f6d-de3b-4f99-bdf2-bfce9ede6dd6
      Show excerpt
      [2026-04-24 00:49] xenonfun: have cliffordnet workong on the medical images, does that at 60% but only 9K parms, but CNNs are in the 80s. its really not good at simple stuff does suggest hybrid of our manifoldunit which is great at simple b

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