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Paper Citation Record · LEDGER

Soft-prompt Tuning for Large Language Models to Evaluate Bias

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.04735.

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

pith.paper-citation-record.v1
2306.04735 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:21:09.770240Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3de21af3-15d0-4181-a215-3a43e486c366 · inbound

Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection cites this paper.

Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection Soft-prompt Tuning for Large Language Models to Evaluate Bias

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-08T15:21:49.969642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-08T15:21:49.798307Z digest=sha256:37c5b42b918dcfc01bb4d38a1bcf0c908426619a39aef2288043b557240dc7f2

Observation 59ae4b4f-5cb9-49b5-9711-7ebd9097a4f4 · inbound

BELL: Benchmarking the Explainability of Large Language Models cites this paper.

BELL: Benchmarking the Explainability of Large Language Models Soft-prompt Tuning for Large Language Models to Evaluate Bias

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T11:21:09.770240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:21:09.770240Z digest=sha256:1318d36ae1a9bdea4229c4704bec4dfb31c4fa519c44b060088f9949436ad7c5