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Paper Citation Record · LEDGER

Sparse Double Descent: Where Network Pruning Aggravates Overfitting

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.08684.

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

pith.paper-citation-record.v1
2206.08684 v1

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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T13:33:18.852149Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c253c3cb-4cf6-4583-8c90-ee1e9dd139ce · inbound

Neural Networks With Dense Weights Are Not Universal Approximators cites this paper.

Neural Networks With Dense Weights Are Not Universal Approximators Sparse Double Descent: Where Network Pruning Aggravates Overfitting

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:07:25.502613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T06:05:00.489175Z digest=sha256:f0ff81d5cee6ae013b08523bc59d07882cba4c3675418afcf7b22d189580ba4a

Observation e4e47aba-a510-4872-9c8a-a580f46c67c5 · inbound

Neural Networks With Dense Weights Are Not Universal Approximators cites this paper.

Neural Networks With Dense Weights Are Not Universal Approximators Sparse Double Descent: Where Network Pruning Aggravates Overfitting

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-21T13:34:11.286292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:33:18.852149Z digest=sha256:8de9e4b3d5d17c50a5d57e1c7bb4cae6fa9282cdeb656cda1bc8d14b0496b8e9