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Paper Citation Record · LEDGER

CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1811.07270.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1811.07270 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:25:42.074773Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-22T19:45:03.947158Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a1800408-ff52-4429-9c74-b7d269e22d1c · inbound

Know2Vec: A Black-Box Proxy for Neural Network Retrieval cites this paper.

Know2Vec: A Black-Box Proxy for Neural Network Retrieval CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T11:25:42.074773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:25:42.074773Z digest=sha256:211291fc52cec48e81735bbf9c9d984490122f59296866095a27067b43ff4c8f

Observation dbc0b4c7-ffbc-497e-ac1f-29d070b6fd68 · inbound

Reducing Class Bias In Data-Balanced Datasets Through Hardness-Based Resampling cites this paper.

Reducing Class Bias In Data-Balanced Datasets Through Hardness-Based Resampling CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:45:03.949124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T19:44:47.956323Z digest=sha256:f59d042e3daf1b00b2f6023cac6d425b46219f69511c06b9dfcc6d7603648c28