Paper Citation Record · LEDGER

A Resource Model For Neural Scaling Law

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.05164.

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

pith.paper-citation-record.v1
2402.05164 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:20:51.129278Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T14:23:31.014135Z

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 cd2504e3-9267-4df1-b833-0b0d9fe55cd1 · inbound

KAN: Kolmogorov-Arnold Networks cites this paper.

KAN: Kolmogorov-Arnold Networks A Resource Model For Neural Scaling Law

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:42:04.297101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aff2047b-01e8-4568-9f57-b953e61e9bfa · inbound

Physics of Skill Learning cites this paper.

Physics of Skill Learning A Resource Model For Neural Scaling Law

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T17:20:51.129278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cd95564-b9d0-4e6a-bde7-6ba977371363 · inbound

Superposition Yields Robust Neural Scaling cites this paper.

Superposition Yields Robust Neural Scaling A Resource Model For Neural Scaling Law

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:36:25.432543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e5078aa8-3f57-443e-9dd5-d8b6e63b7511 · inbound

Inverse Depth Scaling From Most Layers Being Similar cites this paper.

Inverse Depth Scaling From Most Layers Being Similar A Resource Model For Neural Scaling Law

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T04:07:46.427179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a78e363-05e5-496e-8f5a-4330278067f5 · inbound

Law of Neural Interaction: Depth-Width Shape, Interaction Efficiency, and Generalization cites this paper.

Law of Neural Interaction: Depth-Width Shape, Interaction Efficiency, and Generalization A Resource Model For Neural Scaling Law

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:23:31.015606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.