Paper Citation Record · LEDGER

Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debate

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2408.04472.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2408.04472 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:50:28.171568Z

measured 0 of 1 external citation measurements

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 48c8704a-dea7-4808-8826-9404f9201b22 · inbound

Can You Trust LLM Judgments? Reliability of LLM-as-a-Judge cites this paper.

Can You Trust LLM Judgments? Reliability of LLM-as-a-Judge Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debate

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T14:04:26.421602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 219f7fc9-5318-4c73-bf61-8388a04b39f8 · inbound

Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey cites this paper.

Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debate

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-16T11:50:28.171568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad54fd23-b625-45b7-9c7c-f5c9ff437366 · inbound

Chatperone: An LLM-Based Negotiable Scaffolding System for Mediating Adolescent Mobile Interactions cites this paper.

Chatperone: An LLM-Based Negotiable Scaffolding System for Mediating Adolescent Mobile Interactions Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debate

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:52.454696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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.

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 2026-08-21T06:32:19.484+00:00.