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Paper Citation Record · LEDGER

Generating Training Data with Language Models: Towards Zero-Shot Language Understanding

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.04538.

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

pith.paper-citation-record.v1
2202.04538 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:36:46.362051Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T12:05:43.642409Z

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 8f56bdeb-a685-4a54-b471-e6ae7e079a04 · inbound

CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs cites this paper.

CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs Generating Training Data with Language Models: Towards Zero-Shot Language Understanding

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T21:36:46.362051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:36:46.362051Z digest=sha256:dad95b4d2b2a00bcccacd459cc03ec50879a98cf23544658a96b4eaac8069f20

Observation 7b316888-4d82-4725-9d7e-063f05354e80 · inbound

A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization cites this paper.

A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization Generating Training Data with Language Models: Towards Zero-Shot Language Understanding

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-07-01T12:05:43.643776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-01T02:32:19.425550Z digest=sha256:9ce7d24edef46a6aae7d57efd3af008e2cf7846048b41ad8f7cf1d285a7f79ea