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Paper Citation Record · LEDGER

4+3 Phases of Compute-Optimal Neural Scaling Laws

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:48:53.293116Z

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

source=pdf_text observed=2026-05-23T04:16:04.110552Z digest=sha256:812cebff1f81005d04aafa629487034b43dfedd48ac6ea1bdc26bb5580c00b36

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.

source=arxiv_source observed=2026-08-06T20:48:53.293116Z digest=sha256:ef759e682efdea105be895a337eb24e37152fdcb51e2c3c48815fc58f7c95b36

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

source=arxiv_source observed=2026-05-18T12:35:13.190092Z digest=sha256:477e602b7a806053abf59bda10250380fd19722369c539ed098f841930d2eb18

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.

source=pdf_text observed=2026-08-03T14:02:56.716543Z digest=sha256:f1aea2d9e4d70506812887b650eb95bd35a3b2a3fc740358e3a09e7b6c4d67fa

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.

source=arxiv_source observed=2026-08-03T04:14:17.511548Z digest=sha256:1cebd9b9479f823a263ed470b30df55dad6a6355b5988785fb1dba930d8dbb78