Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CoFE-RAG: A Comprehensive Full-chain Evaluation Framework for Retrieval-Augmented Generation with Enhanced Data Diversity
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.12248.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:23:28.836769Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 075fdeaa-d487-42ba-a8ca-7a1f0eff3ac0 · inbound
Multi-Hop Question Generation via Dual-Perspective Keyword Guidance cites this paper.
Multi-Hop Question Generation via Dual-Perspective Keyword Guidance CoFE-RAG: A Comprehensive Full-chain Evaluation Framework for Retrieval-Augmented Generation with Enhanced Data Diversity
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:23:28.836769Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a33c7d8-7295-42b6-861e-64425b4d4210 · inbound
Evaluating Multi-Hop Reasoning in RAG Systems: A Comparison of LLM-Based Retriever Evaluation Strategies cites this paper.
Evaluating Multi-Hop Reasoning in RAG Systems: A Comparison of LLM-Based Retriever Evaluation Strategies CoFE-RAG: A Comprehensive Full-chain Evaluation Framework for Retrieval-Augmented Generation with Enhanced Data Diversity
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T04:04:47.602429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4211b490-986b-4cfe-98d1-aa3da9cce288 · inbound
Deepchecks: Evaluating Retrieval-Augmented Generation (RAG) cites this paper.
Deepchecks: Evaluating Retrieval-Augmented Generation (RAG) CoFE-RAG: A Comprehensive Full-chain Evaluation Framework for Retrieval-Augmented Generation with Enhanced Data Diversity
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:09:38.754880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.