Paper Citation Record · LEDGER

Adaptive kernel predictors from feature-learning infinite limits of neural networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.07998.

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

pith.paper-citation-record.v1
2502.07998 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:44:14.864819Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 377dc5a1-bda8-438c-baa8-7845ddd15a42 · inbound

Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation cites this paper.

Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation Adaptive kernel predictors from feature-learning infinite limits of neural networks

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-04T07:44:14.864819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a73e6885-3911-4ce0-92bd-2548f58b676c · 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 Adaptive kernel predictors from feature-learning infinite limits of neural networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T20:37:01.243971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e02057ba-af11-4e84-8a97-ca13153679b9 · inbound

Discrete signaling mediates chaotic regularization in recurrent neural networks cites this paper.

Discrete signaling mediates chaotic regularization in recurrent neural networks Adaptive kernel predictors from feature-learning infinite limits of neural networks

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:26:54.928860Z

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.

Observation afe6d8af-682c-4d61-a89e-c13e1beed33f · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Adaptive kernel predictors from feature-learning infinite limits of neural networks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-26T15:39:33.210724Z

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.

Observation 1e08dc13-4114-4336-a807-af3c274e68fa · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Adaptive kernel predictors from feature-learning infinite limits of neural networks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:57:25.361396Z

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.

Observation 5a8e3961-d350-466d-b79a-a55f4d0c37ce · inbound

Width-Robust Learnability in Mean-Field Bayesian Neural Networks cites this paper.

Width-Robust Learnability in Mean-Field Bayesian Neural Networks Adaptive kernel predictors from feature-learning infinite limits of neural networks

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-11T02:57:47.204069Z

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.