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Paper Citation Record · LEDGER

From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.03210.

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

pith.paper-citation-record.v1
2502.03210 v2

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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:37:01.591623Z

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

0
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 c4c94aa7-1cb5-4295-8165-3e9555019c3b · inbound

Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues cites this paper.

Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T20:37:01.591623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T20:37:01.591623Z digest=sha256:3a62b9479ef9d06a9a549cc3db0b5424f3b9e9471610e2fd9df5ffe17326ba41

Observation ab1c7560-6ecc-419e-b771-62dfd2a8b05e · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-26T15:39:33.199820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T15:35:51.654392Z digest=sha256:94f5bed22b82f413cbb3818c44b6e64b6ded58cebe896c3910a336a9875a3208

Observation b1129547-647b-4070-bd20-9eac7197c832 · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:57:25.338292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-02T21:51:13.457071Z digest=sha256:8ced4cfca9093c9d11aa7d289b75a3eead5dbe795ffc505a301a415d456b750a