Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.18596.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T23:25:48.275445Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T13:05:44.858900Z
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 69d48bed-64b2-4d04-8354-fe510c37ecfe · inbound
When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platforms cites this paper.
When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platforms Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T07:47:12.564020Z
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.
Observation 68d00225-d84f-43c3-bf36-1fade12f8f52 · inbound
How Human Feedback Shapes AI-generated Community Notes cites this paper.
How Human Feedback Shapes AI-generated Community Notes Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T13:05:44.860739Z
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.
Observation 7e4df702-b700-4b91-8d78-5b109101fe99 · inbound
Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes cites this paper.
Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:25:48.275445Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.