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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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.

source=arxiv_source observed=2026-08-12T18:50:44.247089Z digest=sha256:c58866ecca95776d368a4c7e8092a43868b9c6f0deabe0c8e9788c5e80e279f6

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.

source=pdf_text observed=2026-08-12T11:06:36.435636Z digest=sha256:680bed563453db6d3a5a7ec046425f3f2f0f7d1b854ea32675327f358247f5e3

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.

source=arxiv_source observed=2026-08-11T22:57:02.117572Z digest=sha256:b45eafc299b6e56c780dc4e837c811f703cbb18786487b6084d27025ca4cbdc3

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.

source=pdf_text observed=2026-08-08T17:20:36.600536Z digest=sha256:18247e31db2afaddc5a1585e4045fa4cf04bfc69280cf27ddad52f0e795d63e0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T10:38:03.311357Z digest=sha256:feed8c8aeeecf15f75ccb76599d081d2e306abf436025e7651471f8ef3442de9

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.

source=pdf_text observed=2026-08-06T23:12:19.036726Z digest=sha256:c509e1e796cf43b732500ee2ee181017f5a2d354e238fe6761ef395c30f6d40c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-15T04:51:44.394368Z digest=sha256:62c7faae830ee1ef9d0300096d8370f81d862c7fbbd2f259fae13ec5de714ed5