Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Pitfalls of Conversational LLMs on News Debiasing
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.06488.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T17:10:03.596139Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T16:06:29.179348Z
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 3f454519-1bfc-4428-9601-09ea0a8a35e5 · inbound
Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs cites this paper.
Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs Pitfalls of Conversational LLMs on News Debiasing
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:10:03.596139Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 574ea1ec-1260-4392-8429-afd6acf7e1e8 · inbound
Can AI Debias the News? LLM Interventions Improve Cross-Partisan Receptivity but LLMs Overestimate Their Own Effectiveness cites this paper.
Can AI Debias the News? LLM Interventions Improve Cross-Partisan Receptivity but LLMs Overestimate Their Own Effectiveness Pitfalls of Conversational LLMs on News Debiasing
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:06:29.286374Z
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.