Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.12307.
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 2026-08-16T10:53:24.852244Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T15:11:21.908213Z
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 6498ca4f-2aeb-449e-9f0a-415730c056f5 · inbound
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models cites this paper.
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T15:11:21.911894Z
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 bd9b1b95-b754-403b-b922-e5608079069c · inbound
Leveraging LLMs as Meta-Judges: A Multi-Agent Framework for Evaluating LLM Judgments cites this paper.
Leveraging LLMs as Meta-Judges: A Multi-Agent Framework for Evaluating LLM Judgments MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:53:24.852244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.