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Paper Citation Record · LEDGER

Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2303.14151.

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

pith.paper-citation-record.v1
2303.14151 v1

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 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T01:03:39.897679Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T01:05:16.054809Z

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 f617f965-0af7-470c-a96f-6f1327b70169 · inbound

Path Regularization: A Near-Complete and Optimal Nonasymptotic Generalization Theory for Multilayer Neural Networks and Double Descent Phenomenon cites this paper.

Path Regularization: A Near-Complete and Optimal Nonasymptotic Generalization Theory for Multilayer Neural Networks and Double Descent Phenomenon Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:05:16.058417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T01:03:39.897679Z digest=sha256:0a18a57117f36eab70e0b3043763451ddbbc179023efaa016d6e6b1e7293fd43

Observation d296b0dc-ecdb-4715-a6a7-7591776ba159 · inbound

Double Descent in Quantum Kernel Ridge Regression cites this paper.

Double Descent in Quantum Kernel Ridge Regression Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:46:37.388895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T06:42:30.100063Z digest=sha256:8d1c6f21245a13ba20f0968b5a693272f52825015317ea4d6dc65c373709e4a7

Observation bf9559dc-08bd-478f-a426-fe23e130905d · inbound

How Much is Brain Data Worth for Machine Learning? cites this paper.

How Much is Brain Data Worth for Machine Learning? Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:41:45.730308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:01:28.080306Z digest=sha256:fcbd8479ede1ecac2a95a4d8038e015770af407776d03f6caf2c2dfb129456ea