Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.02460.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:41:52.878541Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:42:43.121218Z
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 0c98647c-cbd7-46ca-b150-0a20222fab6c · inbound
POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical Applications cites this paper.
POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical Applications Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:41:52.878541Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cad576ed-a261-4e72-9545-3c08f6bdcff9 · inbound
A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models cites this paper.
A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:42:43.124696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f4191ccf-a891-4289-8ebd-a5be5dd8f057 · inbound
RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation cites this paper.
RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:54:29.137189Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.