Paper Citation Record · LEDGER

Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2409.17115.

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

pith.paper-citation-record.v1
2409.17115 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:52:33.521093Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4dd430f5-bf08-4785-aab2-d2f4f7e97b5c · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale

Reference 186

Resolution: verified exact; arxiv_id, observed 2026-05-12T15:39:40.994006Z

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.

Observation ca73abac-acf3-492a-bf6b-0a3c7bce0c6f · inbound

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation cites this paper.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:33.521093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28521949-bc86-410a-9636-6117c73de4e8 · inbound

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs cites this paper.

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T20:21:57.043953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b14b2432-90c1-4405-9633-41bacbf3e64a · inbound

Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels cites this paper.

Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T08:41:08.306680Z

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.

Observation 1e151c1e-5169-4ff2-bd1e-af069973ecf8 · inbound

Path-Constrained Mixture-of-Experts cites this paper.

Path-Constrained Mixture-of-Experts Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:19:54.257903Z

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.

Observation a14645a0-31e3-4424-96bc-b941d05c8b9c · inbound

What Really Improves Mathematical Reasoning: Structured Reasoning Signals Beyond Pure Code cites this paper.

What Really Improves Mathematical Reasoning: Structured Reasoning Signals Beyond Pure Code Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:08:05.116809Z

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.

Observation ca7f1222-afe8-45c4-9b9a-074c1bc0d12b · inbound

DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data cites this paper.

DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-31T07:01:44.734751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.