Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debate
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.04472.
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 2026-08-07T14:31:57.230389Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T16:52:39.966384Z
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 98726d8d-d874-46ac-af33-797d4ea08ae3 · inbound
Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models cites this paper.
Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debate
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:31:57.230389Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ddf9203-74d8-4399-8a4e-358d8dbc1f15 · inbound
Simulating Ethics: Using LLM Debate Panels to Model Deliberation on Medical Dilemmas cites this paper.
Simulating Ethics: Using LLM Debate Panels to Model Deliberation on Medical Dilemmas Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debate
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:43:29.011613Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69219f65-40e7-4d6b-a12b-94ee28592d75 · inbound
Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies cites this paper.
Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debate
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:43:49.235171Z
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.
Observation 4609c988-d85c-43d8-8ce3-23dcb4e49b58 · inbound
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems cites this paper.
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debate
Reference 284
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T03:08:57.745177Z
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.
Observation 9d773a22-7b97-4386-8b29-5d80d84883e6 · inbound
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems cites this paper.
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debate
Reference 285
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:52:39.967877Z
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.