Paper Citation Record · LEDGER

4+3 Phases of Compute-Optimal Neural Scaling Laws

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.15074.

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

pith.paper-citation-record.v1
2405.15074 v3

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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:54:36.954538Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:17:31.006183Z

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 0b9f5d02-a367-447e-8c95-4e115429eca3 · inbound

Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer cites this paper.

Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer 4+3 Phases of Compute-Optimal Neural Scaling Laws

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T11:54:36.954538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d0ae44f-f709-4758-ab0a-7c132bd209b1 · inbound

Two-Point Deterministic Equivalence for Stochastic Gradient Dynamics in Linear Models cites this paper.

Two-Point Deterministic Equivalence for Stochastic Gradient Dynamics in Linear Models 4+3 Phases of Compute-Optimal Neural Scaling Laws

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:17:31.009198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 17e6d158-514a-450d-ad6c-12a4ecc631b6 · inbound

Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks cites this paper.

Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks 4+3 Phases of Compute-Optimal Neural Scaling Laws

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:53.293116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2590b0ec-6316-4ca8-a832-4aaf85bdcc13 · inbound

SynthPert: Enhancing LLM Biological Reasoning via Synthetic Reasoning Traces for Cellular Perturbation Prediction cites this paper.

SynthPert: Enhancing LLM Biological Reasoning via Synthetic Reasoning Traces for Cellular Perturbation Prediction 4+3 Phases of Compute-Optimal Neural Scaling Laws

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T12:36:22.344540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2ffb37fa-3f3f-42b9-8254-0ebf5b8e5090 · inbound

Unifying Learning Dynamics and Generalization in Transformers Scaling Law cites this paper.

Unifying Learning Dynamics and Generalization in Transformers Scaling Law 4+3 Phases of Compute-Optimal Neural Scaling Laws

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T14:02:56.716543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3100d00-54ed-49cc-ab76-6f2482bd4752 · inbound

Muon in Associative Memory Learning: Training Dynamics and Scaling Laws cites this paper.

Muon in Associative Memory Learning: Training Dynamics and Scaling Laws 4+3 Phases of Compute-Optimal Neural Scaling Laws

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T04:14:17.511548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.