Paper Citation Record · LEDGER

Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2404.07220.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2404.07220 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:58:21.755527Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-23T19:08:20.757048Z

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 6dcb7f76-acd7-47ce-9c04-db8340d40546 · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

Reference 145

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:32:17.395295Z

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 83f52052-ebc7-4a8e-b1f2-10dc78096f95 · inbound

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap cites this paper.

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:08:20.760334Z

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 54164c75-768a-432f-8b65-192a0c60d205 · inbound

Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs cites this paper.

Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:08.949685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e477bc53-acc4-492a-a61a-08ccaabe6528 · 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 Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T20:52:27.821966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32fb52ef-5a2f-4c05-b8f6-267594a9cc09 · inbound

LLMs to Support a Domain Specific Knowledge Assistant cites this paper.

LLMs to Support a Domain Specific Knowledge Assistant Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-08T23:35:38.635869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a61c61-cb83-4335-9604-f0ba3c565b7d · inbound

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval cites this paper.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:58:21.755527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a299045c-d837-4832-b17e-82b0093843ac · inbound

The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware) cites this paper.

The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware) Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T21:10:20.113652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25a177e1-e7d3-4376-b912-3a8c96529502 · inbound

TSGuard: Automated User-Centric Incident Diagnosis for AI Workloads in the Cloud cites this paper.

TSGuard: Automated User-Centric Incident Diagnosis for AI Workloads in the Cloud Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:57:16.375632Z

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 9c1d32ae-bc4e-48a6-a571-62e9cb505752 · inbound

PDF Retrieval Augmented Question Answering cites this paper.

PDF Retrieval Augmented Question Answering Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:22:11.151545Z

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 0395c4df-5253-4481-b3a3-3e43c638c98a · inbound

Securing the Agent: Vendor-Neutral, Multitenant Enterprise Retrieval and Tool Use cites this paper.

Securing the Agent: Vendor-Neutral, Multitenant Enterprise Retrieval and Tool Use Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:06:07.517333Z

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.