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Paper Citation Record · LEDGER

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.01697.

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

pith.paper-citation-record.v1
2502.01697 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:04.002985Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T01:00:08.633531Z

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 5eac65fc-499a-4ab9-ae64-4d2af8ab00bd · inbound

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions cites this paper.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T15:08:04.002985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:04.002985Z digest=sha256:c5edf70030f98b8b33fc4233003c753ca484722daff7133d9f6bc47e73567d71

Observation 2989eccf-5992-4b4d-b8ae-743be62803b9 · inbound

The Prompt is Mightier than the Example cites this paper.

The Prompt is Mightier than the Example BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:11.865218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:11.865218Z digest=sha256:3464bf3dccd7bf3d587d34c1a8cb7e18ab90a82bd38d79185d4844f10fd1af01

Observation ec2af6cb-b8cc-468b-98ec-7dafcabab294 · inbound

Intent Factored Generation: Unleashing the Diversity in Your Language Model cites this paper.

Intent Factored Generation: Unleashing the Diversity in Your Language Model BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T04:47:42.438433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:47:42.438433Z digest=sha256:18dc2d39946554859b66ce2003e8e1dd48789e49460fbf5506f337f76bbe6f31

Observation 7d61fdd7-b584-44bd-9dde-c07de86117bf · inbound

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading cites this paper.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T01:00:08.723033Z

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.

source=pdf_text observed=2026-08-06T01:00:07.506842Z digest=sha256:2081392f91cdffbb030fc5d7b89add6cddbbe90b05f8c53f973775b793660a9c