Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.03569.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T07:21:36.365689Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 76e89057-c531-4fde-a1f4-c064d5fc60fb · inbound
Learning Pseudorandom Numbers with Transformers: Permuted Congruential Generators, Curricula, and Interpretability cites this paper.
Learning Pseudorandom Numbers with Transformers: Permuted Congruential Generators, Curricula, and Interpretability Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:21:36.365689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbf25ef2-6464-4322-b0e2-97687547bc37 · inbound
Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers cites this paper.
Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T15:22:52.431249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.