Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 7a6d7432-acb8-4083-91c4-ca1482395d48 · inbound
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
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 MBIAS: Mitigating Bias in Large Language Models While Retaining Context
Reference 52
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 MBIAS: Mitigating Bias in Large Language Models While Retaining Context
Reference 116
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 MBIAS: Mitigating Bias in Large Language Models While Retaining Context
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.