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Paper Citation Record · LEDGER

ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.11764.

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

pith.paper-citation-record.v1
2402.11764 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:56:55.239090Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:18:03.724085Z

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 84d848fb-6d54-4788-b0e0-12d89dd689ea · inbound

Self-Anchored Attention Model for Sample-Efficient Classification of Prosocial Text Chat cites this paper.

Self-Anchored Attention Model for Sample-Efficient Classification of Prosocial Text Chat ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T04:56:55.239090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:56:55.239090Z digest=sha256:27a370df998808ae5e2199869a4362dafafdf0622065a443f386e88f81cbc2df

Observation 0a0e9919-d19c-4535-9b8b-edad44fb1364 · inbound

Rethinking Psychometric Evaluation of LLMs: When and Why Self-Reports Predict Behavior cites this paper.

Rethinking Psychometric Evaluation of LLMs: When and Why Self-Reports Predict Behavior ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:18:03.725533Z

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=2026-06-27T09:36:36.821058Z digest=sha256:ade4867966bd40307c5dddac44b6515d753efb47e95e516c07d22b987bb34bc6