Paper Citation Record · LEDGER

Data, Data Everywhere: A Guide for Pretraining Dataset Construction

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.06380.

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

pith.paper-citation-record.v1
2407.06380 v2

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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:18:40.167403Z

measured 0 of 1 external citation measurements

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 7789920b-dc72-4954-b72f-79fa9febd9f4 · inbound

Bridging the Data Provenance Gap Across Text, Speech and Video cites this paper.

Bridging the Data Provenance Gap Across Text, Speech and Video Data, Data Everywhere: A Guide for Pretraining Dataset Construction

Reference 130

Resolution: unresolved; no resolver link, observed 2026-08-11T12:18:40.167403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+00:00.