Paper Citation Record · LEDGER

ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2210.12329.

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

pith.paper-citation-record.v1
2210.12329 v1

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 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:50:44.247089Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T10:42:15.250843Z

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 1c7d4624-dc23-49b4-9204-ba390db084dc · inbound

ToxiLab: How Well Do Open-Source LLMs Generate Synthetic Toxicity Data? cites this paper.

ToxiLab: How Well Do Open-Source LLMs Generate Synthetic Toxicity Data? ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T18:50:44.247089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0ed340b-3674-49ba-8f3a-ef2b5c27ce72 · inbound

Active Data Curation Effectively Distills Large-Scale Multimodal Models cites this paper.

Active Data Curation Effectively Distills Large-Scale Multimodal Models ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback

Reference 184

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:36.435636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c22e8933-3d2e-4a69-b27b-f1155d6e56ea · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback

Reference 221

Resolution: unresolved; no resolver link, observed 2026-08-11T22:57:02.117572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20fe0506-ce66-4cbc-a896-7bb76470d416 · inbound

Few-shot LLM Synthetic Data with Distribution Matching cites this paper.

Few-shot LLM Synthetic Data with Distribution Matching ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-08T17:20:36.600536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be568dce-61db-4620-8b33-fc04f00fd566 · inbound

No Data? No Problem: Synthesizing Security Graphs for Better Intrusion Detection cites this paper.

No Data? No Problem: Synthesizing Security Graphs for Better Intrusion Detection ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:42:15.252323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 67fb0533-6b1d-479a-83cd-02341d3088a7 · inbound

What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning cites this paper.

What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:19.036726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03639adf-9beb-45f0-9664-eff61437b160 · inbound

BOOKMARKS: Efficient Active Storyline Memory for Role-playing cites this paper.

BOOKMARKS: Efficient Active Storyline Memory for Role-playing ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:55:03.757569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.