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Paper Citation Record · LEDGER

Post-mortem on a deep learning contest: a Simpson's paradox and the complementary roles of scale metrics versus shape metrics

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2106.00734.

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

pith.paper-citation-record.v1
2106.00734 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:15:51.556206Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:45:20.558114Z

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 35f94d65-e1a7-450f-a822-06920b8aed30 · inbound

Models of Heavy-Tailed Mechanistic Universality cites this paper.

Models of Heavy-Tailed Mechanistic Universality Post-mortem on a deep learning contest: a Simpson's paradox and the complementary roles of scale metrics versus shape metrics

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T11:15:51.556206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:51.556206Z digest=sha256:0ed87fee1cdf6c9a6c62cc2223335a47594e2b3d97666a5c25b1d8c95401d253

Observation ca45a118-8f9f-4294-82eb-3949c7ddac00 · inbound

SETOL: A Semi-Empirical Theory of (Deep) Learning cites this paper.

SETOL: A Semi-Empirical Theory of (Deep) Learning Post-mortem on a deep learning contest: a Simpson's paradox and the complementary roles of scale metrics versus shape metrics

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:45:20.561912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:45:19.965056Z digest=sha256:fe7a064ba503e654a800b522f71609dd330152150b92d39910815490b5a7d595

Observation 509c0726-d3bc-4108-b401-0587bb37b861 · inbound

Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime cites this paper.

Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime Post-mortem on a deep learning contest: a Simpson's paradox and the complementary roles of scale metrics versus shape metrics

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T13:54:27.152574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:54:27.152574Z digest=sha256:aa6aff0a72a780197c9748df7d84a3c6ae42099cbaebc277f0da5aaa9626d7f5