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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:12:19.036726Z

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 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T10:38:03.311357Z digest=sha256:02ef6de20f4a5beaa6644ca3ff4e1e793a2da1754070d5b530ad95e5b43f7d48

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=sha256:85092ac61bcc884d0d58953c207635186963626b5c27c6170028dcbee65043d6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T04:51:44.394368Z digest=sha256:6e0fa2686362b99778c10715263dce46e041b58001f2137e344e92e892f7924f