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Paper Citation Record · LEDGER

Social Bias Benchmark for Generation: A Comparison of Generation and QA-Based Evaluations

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.06987.

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

pith.paper-citation-record.v1
2503.06987 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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T07:29:03.994957Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:01:06.616223Z

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 7557bb48-5160-4420-9f00-fda97b28129a · inbound

Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering cites this paper.

Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering Social Bias Benchmark for Generation: A Comparison of Generation and QA-Based Evaluations

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:32:00.315549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T07:29:03.994957Z digest=sha256:2fbf1c01cb4ff8b16c775b78d1fea6fd918c4d75fe95bec3207037aad12bf59c

Observation e97bc987-b6c5-454f-9c94-99af1af97a97 · inbound

Intersectional Fairness in Large Language Models cites this paper.

Intersectional Fairness in Large Language Models Social Bias Benchmark for Generation: A Comparison of Generation and QA-Based Evaluations

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:01:06.619645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T23:44:08.610255Z digest=sha256:7e1598883cad1d5606255ac89e947a9fc6fe4403a3d3cb7c4bf6cf80f90c1c4d