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Paper Citation Record · LEDGER

ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.10703.

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

pith.paper-citation-record.v1
2305.10703 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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:36:46.461175Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:50:50.234625Z

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 4a714102-9d6c-41bb-a4cd-820b33a91416 · 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 ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T21:36:46.461175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:36:46.461175Z digest=sha256:0555346dc7fd40f6e683c4a5e7bff4effd0775b4b4e9e3c71131f383dbaa6376

Observation bdfa9add-30c5-4240-9026-29545a5ed815 · inbound

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

Few-shot LLM Synthetic Data with Distribution Matching ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.616249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.616249Z digest=sha256:0771cece311abe716157d8d356a7dfc797fa9c1bedd299988bcae572f3429b78

Observation 3cec156f-e529-41ae-98f2-827691a458ce · inbound

Does Prompt Design Impact Quality of Data Imputation by LLMs? cites this paper.

Does Prompt Design Impact Quality of Data Imputation by LLMs? ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:50:50.345359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:50:50.197955Z digest=sha256:351623245ecf04b5ce9d36ad0cde1113f38fab2ac297ee388a69654319ae95d3