Paper Citation Record · LEDGER

Scaling Law for Language Models Training Considering Batch Size

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.01505.

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

pith.paper-citation-record.v1
2412.01505 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:32:36.445245Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:46:56.684221Z

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 869ddff4-527a-4e3a-9008-c386733890e3 · inbound

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks cites this paper.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Scaling Law for Language Models Training Considering Batch Size

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T16:32:36.445245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99d29ae3-99d8-452c-8362-2ea5a7585d98 · inbound

From One-Pass SGD to Data Reuse: Mini-Batch Scaling Laws in Sketched Linear Regression cites this paper.

From One-Pass SGD to Data Reuse: Mini-Batch Scaling Laws in Sketched Linear Regression Scaling Law for Language Models Training Considering Batch Size

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:14:45.577224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 962af652-e9c5-4de7-b59c-4b218db666b1 · inbound

ScaleAcross Explorer: Exploring Communication Optimization for Scale-Across AI Model Training cites this paper.

ScaleAcross Explorer: Exploring Communication Optimization for Scale-Across AI Model Training Scaling Law for Language Models Training Considering Batch Size

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T13:04:40.480399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 472b2b92-66de-4991-ab47-1513c428e5ec · inbound

Predictable Scaling Laws of Optimal Hyperparameters for LLM Continued Pre-training cites this paper.

Predictable Scaling Laws of Optimal Hyperparameters for LLM Continued Pre-training Scaling Law for Language Models Training Considering Batch Size

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:46:56.685662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.