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Paper Citation Record · LEDGER

Early stopping and polynomial smoothing in regression with reproducing kernels

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.06827.

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

pith.paper-citation-record.v1
2007.06827 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:33:57.964194Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T04:49:44.892579Z

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 788b9a3e-3f19-4257-af34-1e8fe4d32997 · inbound

How to Scale Mixture-of-Experts: From muP to the Maximally Scale-Stable Parameterization cites this paper.

How to Scale Mixture-of-Experts: From muP to the Maximally Scale-Stable Parameterization Early stopping and polynomial smoothing in regression with reproducing kernels

Reference 180

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:49:44.895550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-15T04:45:20.091598Z digest=sha256:861df3e5b3641821aeac4b220ae09a9e9083629cd738d7460ae735a3c5b4fe73

Observation ccbff15e-dad5-41d3-aac1-6d8e5b3461b9 · inbound

Minimax Optimal Early-Stopped Gradient Descent for Gaussian Mixture Classification cites this paper.

Minimax Optimal Early-Stopped Gradient Descent for Gaussian Mixture Classification Early stopping and polynomial smoothing in regression with reproducing kernels

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T11:33:57.964194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:33:57.964194Z digest=sha256:f35b0d27a63e25fa294c87c2662e487292d33cedb90e38967dc630164462f96d