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Paper Citation Record · LEDGER

Asymptotic learning curves of kernel methods: empirical data v.s. Teacher-Student paradigm

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.10843.

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

pith.paper-citation-record.v1
1905.10843 v8

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:07:23.318430Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:17:37.860838Z

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 77276bc9-e8a6-40f8-97f6-35527faf640b · inbound

Loss-to-Loss Prediction: Scaling Laws for All Datasets cites this paper.

Loss-to-Loss Prediction: Scaling Laws for All Datasets Asymptotic learning curves of kernel methods: empirical data v.s. Teacher-Student paradigm

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T17:07:23.318430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:07:23.318430Z digest=sha256:f48c420d0abec3e578e3a9c9721d10e6f383a24297514e757a40187e9251a52f

Observation 5e159d8c-0aad-42b2-b8a6-f655c4ae8a82 · inbound

Feature learning is decoupled from generalization in high capacity neural networks cites this paper.

Feature learning is decoupled from generalization in high capacity neural networks Asymptotic learning curves of kernel methods: empirical data v.s. Teacher-Student paradigm

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:17:37.869152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T14:17:37.212050Z digest=sha256:85b66fbc7d5faca88cf0fd92893ad443614f8d00a4109b1be8ba219c3942d87d