Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.13862.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:22:17.371066Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:50:59.790069Z
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 01c751e1-cac2-4a8a-86e2-fac8b2f5bcc5 · inbound
LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models cites this paper.
LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models A Trip Towards Fairness: Bias and De-Biasing in Large Language Models
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:22:17.371066Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15a49edf-19c9-4969-8bb8-67cd5229d0ac · inbound
Intersectional Sycophancy: How Perceived User Demographics Shape False Validation in Large Language Models cites this paper.
Intersectional Sycophancy: How Perceived User Demographics Shape False Validation in Large Language Models A Trip Towards Fairness: Bias and De-Biasing in Large Language Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:50:59.792131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.