Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.05998.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:02:42.213315Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T04:09:33.501947Z
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 bbf55050-5340-4f57-80c0-2e432413842d · inbound
Large Language Model Agent: A Survey on Methodology, Applications and Challenges Combating Adversarial Attacks with Multi-Agent Debate
Reference 183
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 24d4a73d-fccf-4b25-9b77-7150adbbbef6 · inbound
Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness Combating Adversarial Attacks with Multi-Agent Debate
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3362316-18bd-46ef-8ac5-9d47d725bebf · inbound
SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Combating Adversarial Attacks with Multi-Agent Debate
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdcc4c0a-21e5-4217-9436-0c79dbc4fdab · inbound
MARS$^2$: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation Combating Adversarial Attacks with Multi-Agent Debate
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 03651095-5d44-4052-aac2-70ed9a716824 · inbound
Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Combating Adversarial Attacks with Multi-Agent Debate
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9c4fea56-56f1-4573-9edc-c014b46dd919 · inbound
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Combating Adversarial Attacks with Multi-Agent Debate
Reference 53
Source-reported events for the cited work
Unavailable: canonical work link unavailable.