Paper Citation Record · LEDGER

ZeroGen: Efficient Zero-shot Learning via Dataset Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2202.07922.

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

pith.paper-citation-record.v1
2202.07922 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:12:19.041283Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T04:55:03.786680Z

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 7d3c46d2-027f-47ac-8757-7cd61c6761b9 · 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 ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:19.041283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae640134-eb79-4a5e-8f8f-1a948690d58b · inbound

Large Language Model for Extracting Complex Contract Information in Industrial Scenes cites this paper.

Large Language Model for Extracting Complex Contract Information in Industrial Scenes ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:05:00.516123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30e50ffc-9452-48bb-ac5d-c14f7fac065b · inbound

Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency Signals cites this paper.

Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency Signals ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T20:11:41.698533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6194b3da-9659-41e4-9142-b09eed3d4836 · inbound

Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation (Extended Version) cites this paper.

Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation (Extended Version) ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T11:14:51.788738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95dac23a-f6ab-46e1-98a6-cc57fed5a0c5 · inbound

Structured Exploration and Exploitation of Label Functions for Automated Data Annotation cites this paper.

Structured Exploration and Exploitation of Label Functions for Automated Data Annotation ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:28:17.086217Z

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 f00e19bc-3194-4bf3-b79c-5796b3d104c6 · inbound

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

BOOKMARKS: Efficient Active Storyline Memory for Role-playing ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:55:03.790255Z

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.