Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data, Data Everywhere: A Guide for Pretraining Dataset Construction
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.06380.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:43.210706Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T11:59:52.329177Z
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 e6ac58fd-dcf0-4aa1-a52c-a87c69a632a3 · inbound
Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning cites this paper.
Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Data, Data Everywhere: A Guide for Pretraining Dataset Construction
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:35:43.210706Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e313c10c-3cad-41c3-9df1-3feb00e7b7c6 · inbound
SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models cites this paper.
SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Data, Data Everywhere: A Guide for Pretraining Dataset Construction
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:06.138326Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e3c9fc1-d6c2-4106-9c37-4bac7b08cd4a · inbound
Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training cites this paper.
Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training Data, Data Everywhere: A Guide for Pretraining Dataset Construction
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T11:59:52.334238Z
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.