Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2401.04055.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:24:48.853394Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T15:28:33.959760Z
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 c2dbc251-de94-4ea2-b5a9-9fd201c31dba · inbound
A Proposed Large Language Model-Based Smart Search for Archive System cites this paper.
A Proposed Large Language Model-Based Smart Search for Archive System Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:52:27.795471Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79aa2d8d-58e2-439e-ae59-f39ea43790d2 · inbound
CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs cites this paper.
CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:46:07.021982Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce6c1dd5-ad5c-4225-a6d1-bfd43738da8f · inbound
KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities cites this paper.
KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:38:05.165803Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 342f9f42-a80a-4ffd-b0ff-d40a386f9f66 · inbound
Introducing the Swiss Food Knowledge Graph: AI for Context-Aware Nutrition Recommendation cites this paper.
Introducing the Swiss Food Knowledge Graph: AI for Context-Aware Nutrition Recommendation Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:43:14.202182Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0155e99e-7bfc-4a62-91ff-5b9a6ffe724a · inbound
Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach cites this paper.
Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:37:42.501958Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fce245b-384f-4b27-bc71-393cccea7a7d · inbound
A Survey on Retrieval And Structuring Augmented Generation with Large Language Models cites this paper.
A Survey on Retrieval And Structuring Augmented Generation with Large Language Models Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval
Reference 162
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:56:21.738625Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89a1569e-32e4-439d-8805-b42382473464 · inbound
DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark cites this paper.
DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T08:13:15.124851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4a83e7ae-1f1b-4ffe-809d-5c8ad61fa94f · inbound
Rethinking RAG in Long Videos: What to Retrieve and How to Use It? cites this paper.
Rethinking RAG in Long Videos: What to Retrieve and How to Use It? Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T15:28:33.961470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ab3271b0-f2d0-4ab1-8227-6e0533b2913e · inbound
Sci-Surf: Navigating Scientific Literature Discovery through Human Feedback and Intelligent Summarization cites this paper.
Sci-Surf: Navigating Scientific Literature Discovery through Human Feedback and Intelligent Summarization Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:24:48.853394Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.