Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MBIAS: Mitigating Bias in Large Language Models While Retaining Context
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.11290.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T21:21:19.957509Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T22:17:26.011879Z
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 7a6d7432-acb8-4083-91c4-ca1482395d48 · inbound
Large Language Models and Provenance Metadata for Determining the Relevance of Images and Videos in News Stories cites this paper.
Large Language Models and Provenance Metadata for Determining the Relevance of Images and Videos in News Stories MBIAS: Mitigating Bias in Large Language Models While Retaining Context
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:21:19.957509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4aa33908-6d17-4353-a76f-5c31de903cc5 · inbound
Relative Bias: A Comparative Framework for Quantifying Bias in LLMs cites this paper.
Relative Bias: A Comparative Framework for Quantifying Bias in LLMs MBIAS: Mitigating Bias in Large Language Models While Retaining Context
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:12:23.243382Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85372e35-794e-4d5f-9f32-b6572b5618e8 · inbound
The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs cites this paper.
The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs MBIAS: Mitigating Bias in Large Language Models While Retaining Context
Reference 116
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:17:26.949040Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84ff1204-334b-4ec3-a188-84b974382bf7 · inbound
Auditing Proprietary Alignment in Large Language Models: A Comparative Framework Without a Ground-Truth Standard cites this paper.
Auditing Proprietary Alignment in Large Language Models: A Comparative Framework Without a Ground-Truth Standard MBIAS: Mitigating Bias in Large Language Models While Retaining Context
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:17:26.013543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.