Dontopedia

Cifar 10

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-17.)

Cifar 10 has 10 facts recorded in Dontopedia across 7 references, with 2 live disagreements.

10 facts·8 predicates·7 sources·2 in dispute

Mostly:is dataset(2), rdf:type(2), has overfitting gap reduced(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (11)

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.

mattersMoreForMatters More for(2)

onDatasetOn Dataset(2)

doublesExperienceReplayOnDoubles Experience Replay on(1)

hasDatasetHas Dataset(1)

includeInclude(1)

includesTaskIncludes Task(1)

mentionedDatasetMentioned Dataset(1)

outperformLargeOnesOutperform Large Ones(1)

referencesStandardDatasetReferences Standard Dataset(1)

Other facts (10)

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.

10 facts
PredicateValueRef
Is Datasetimage classification[2]
Is Datasettrue[3]
Rdf:typeDataset[6]
Rdf:typeDataset[7]
Has Overfitting Gap Reducednull[1]
Is Standard Tasktrue[4]
Requires Spatial Handlingnull[5]
Has Dimensions3×32×32[5]
Referenced Datasetnull[5]
Dataset FocusImage Classification and Object Recognition[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.

hasOverfittingGapReducedblah/watt-activation/part-2
null
isDatasetblah/watt-activation/part-11
image classification
isDatasetblah/watt-activation/part-464
true
isStandardTaskblah/watt-activation/part-477
true
requiresSpatialHandlingblah/watt-activation/part-479
null
hasDimensionsblah/watt-activation/part-479
3×32×32
referencedDatasetblah/watt-activation/part-479
null
typeblah/watt-activation/305
ex:Dataset
typelme/d107c341-60e1-4e8b-a798-a5311ded587e
ex:Dataset
datasetFocuslme/d107c341-60e1-4e8b-a798-a5311ded587e
ex:image-classification-and-object-recognition

References (7)

7 references
  1. [1]Part 21 fact
    ctx:discord/blah/watt-activation/part-2
  2. [2]Part 111 fact
    ctx:discord/blah/watt-activation/part-11
  3. [3]Part 4641 fact
    ctx:discord/blah/watt-activation/part-464
  4. [4]Part 4771 fact
    ctx:discord/blah/watt-activation/part-477
  5. [5]Part 4793 facts
    ctx:discord/blah/watt-activation/part-479
  6. [6]3051 fact
    ctx:discord/blah/watt-activation/305
    • full textwatt-activation-305
      text/plain3 KBdoc:agent/watt-activation-305/4309ac1d-dc27-4020-9ee7-50e427dd436e
      Show excerpt
      [2026-03-14 12:17] lisamegawatts: well we still crushing neat, but apparently that under compute matched baseline so we going to do yet another 5 seed for conclusive apples to apples neat vs symbio at NAS [2026-03-14 12:27] xenonfun: (file
  7. ctx:claims/lme/d107c341-60e1-4e8b-a798-a5311ded587e
    • full textbeam-chunk
      text/plain19 KBdoc:beam/d107c341-60e1-4e8b-a798-a5311ded587e
      Show excerpt
      [Session date: 2021/08/20 (Fri) 13:41] User: I'm looking to improve my skills in machine learning and artificial intelligence. Can you recommend some online courses or resources that can help me with that? By the way, I've already taken som

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