Paper Citation Record · LEDGER

The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.14975.

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

pith.paper-citation-record.v1
2306.14975 v3

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 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:07:37.592873Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:35:47.519964Z

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 5e57b57b-4dc5-40ff-99dd-cd0c0c12fabb · inbound

Scaling and renormalization in high-dimensional regression cites this paper.

Scaling and renormalization in high-dimensional regression The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:55:55.089964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25ea31cf-a862-4943-97aa-7e3c08b5dcae · inbound

A Random Matrix Theory Perspective on the Learning Dynamics of Multi-head Latent Attention cites this paper.

A Random Matrix Theory Perspective on the Learning Dynamics of Multi-head Latent Attention The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:07:37.592873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8de03117-cb6e-40db-8acb-35dceb000f46 · inbound

DNNs, Dataset Statistics, and Correlation Functions cites this paper.

DNNs, Dataset Statistics, and Correlation Functions The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T20:35:13.225826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3b54f798-f71c-47eb-8fee-a776a6b99fcb · inbound

Generative models on phase space cites this paper.

Generative models on phase space The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:53:15.337147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1468042f-bb25-48fb-b581-14c5c124cd47 · inbound

Spectral phase transitions and trainability in neural network learning dynamics cites this paper.

Spectral phase transitions and trainability in neural network learning dynamics The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:35:47.521381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.