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Paper Citation Record · LEDGER

Characterizing Structural Regularities of Labeled Data in Overparameterized Models

As of 14 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.03206.

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

pith.paper-citation-record.v1
2002.03206 v3

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 2026-07-13T06:30:06.624239+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T05:24:53.628214Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:25:23.249468Z

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 15f0aa66-b8b3-4bcf-8b1a-7c1f872fd96d · inbound

Is your algorithm unlearning or untraining? cites this paper.

Is your algorithm unlearning or untraining? Characterizing Structural Regularities of Labeled Data in Overparameterized Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:30:59.037423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=pdf_text observed=2026-05-10T18:06:08.962042Z digest=sha256:0214725a66344d00ab2b238d287921d3d5183babcc56c5556c4f546c75fd457f

Observation 0089b6c8-9fea-4e79-aeab-f0cc545abc88 · inbound

Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling cites this paper.

Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Characterizing Structural Regularities of Labeled Data in Overparameterized Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:25:23.251750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

source=arxiv_source observed=2026-05-25T05:24:53.628214Z digest=sha256:bd0d98feaa6bd04628b8505210bc52bdf7558c6ff5311977347633b8e4caad57