Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.17924.
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 2026-08-07T00:51:47.111948Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T07:33:13.271594Z
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 72406eee-512b-4b2c-aa2f-9e4a42c1586d · inbound
RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking cites this paper.
RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:51:47.111948Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 389c5c81-015c-4a45-947e-919cc205a866 · inbound
AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness cites this paper.
AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:51:25.937763Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb9a00c0-b697-41e5-9b55-059f11d2689c · inbound
Debating Truth: Debate-driven Claim Verification with Multiple Large Language Model Agents cites this paper.
Debating Truth: Debate-driven Claim Verification with Multiple Large Language Model Agents FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T02:52:56.572900Z
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.
Observation 98f195df-e4e8-41d5-b47f-b14bb0cf009d · inbound
CommunityFact: A Dynamic, Multilingual, Multi-domain Benchmark for Misinformation Detection in the Wild cites this paper.
CommunityFact: A Dynamic, Multilingual, Multi-domain Benchmark for Misinformation Detection in the Wild FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T07:33:13.273105Z
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.
Observation 32a2cdcb-697d-43c1-9ccd-9cecd46ac5dd · 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 FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:25:48.908500Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.