Paper Citation Record · LEDGER

Improving Pretraining Data Using Perplexity Correlations

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2409.05816.

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

pith.paper-citation-record.v1
2409.05816 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:41:46.201649Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:36:44.914742Z

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 b7b5ad2f-8d97-4ddb-b2d7-b0e890848129 · inbound

Predicting Emergent Capabilities by Finetuning cites this paper.

Predicting Emergent Capabilities by Finetuning Improving Pretraining Data Using Perplexity Correlations

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T13:41:46.201649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9e89c38-b9d7-4b7f-bcb6-ddb850603f69 · inbound

Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights cites this paper.

Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights Improving Pretraining Data Using Perplexity Correlations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:00.873801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3df25c12-fb7d-4560-8dc5-d25785fc236f · inbound

Optimizing Pretraining Data Mixtures with LLM-Estimated Utility cites this paper.

Optimizing Pretraining Data Mixtures with LLM-Estimated Utility Improving Pretraining Data Using Perplexity Correlations

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T18:00:05.072473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1f33d30-4c5d-4dd7-b682-eedca03e3d38 · inbound

Universal Model Routing for Efficient LLM Inference cites this paper.

Universal Model Routing for Efficient LLM Inference Improving Pretraining Data Using Perplexity Correlations

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-07T23:48:01.242684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 856fe6c8-6933-4bf3-b96a-3d9e5e54b44a · inbound

Energy-Based Transformers are Scalable Learners and Thinkers cites this paper.

Energy-Based Transformers are Scalable Learners and Thinkers Improving Pretraining Data Using Perplexity Correlations

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:36.952219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ab91ae9-c325-47e2-aefc-7ef900bc5b8b · inbound

Language Models Improve When Pretraining Data Matches Target Tasks cites this paper.

Language Models Improve When Pretraining Data Matches Target Tasks Improving Pretraining Data Using Perplexity Correlations

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-06T16:53:14.396958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 124a7159-eea0-4513-8ba0-610f38f028b9 · inbound

Next-Latent Prediction Transformers Learn Compact World Models cites this paper.

Next-Latent Prediction Transformers Learn Compact World Models Improving Pretraining Data Using Perplexity Correlations

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:25:29.476508Z

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.

Observation 86b6826c-895e-4d93-b1ea-d4d75d436fa2 · inbound

Next-Latent Prediction Transformers Learn Compact World Models cites this paper.

Next-Latent Prediction Transformers Learn Compact World Models Improving Pretraining Data Using Perplexity Correlations

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T23:27:57.036301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dae64c4b-c549-4cb5-a979-17a62d8ef254 · inbound

GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization cites this paper.

GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization Improving Pretraining Data Using Perplexity Correlations

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:30:57.946769Z

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.

Observation 65602620-2be1-4622-aae7-38cf84d45d5e · inbound

Validity Threats for Foundation Model Research cites this paper.

Validity Threats for Foundation Model Research Improving Pretraining Data Using Perplexity Correlations

Reference 98

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:36:44.916180Z

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.