Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Diversity Enhances an LLM's Performance in RAG and Long-context Task
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.09017.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T09:47:15.978952Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T14:08:22.087003Z
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 da496169-3c93-422c-9c62-298d5d57e0a3 · inbound
Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation cites this paper.
Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation Diversity Enhances an LLM's Performance in RAG and Long-context Task
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T02:21:59.228993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6ad617d8-bee4-4c37-a97e-9fdf74dd8be2 · inbound
Search for Coverage: Learning Coverage-Aware Retrieval with Augmented Sub-Question Answerability cites this paper.
Search for Coverage: Learning Coverage-Aware Retrieval with Augmented Sub-Question Answerability Diversity Enhances an LLM's Performance in RAG and Long-context Task
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T09:53:17.505959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ffa35b8d-278f-4392-8bc1-f65e02e21b9f · inbound
How Fine-Grained Should a RAG Benchmark Be? A Hierarchical Framework for Synthetic Question Generation cites this paper.
How Fine-Grained Should a RAG Benchmark Be? A Hierarchical Framework for Synthetic Question Generation Diversity Enhances an LLM's Performance in RAG and Long-context Task
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T14:08:22.092022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.