Paper Citation Record · LEDGER

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering

As of 8 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2505.18247.

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

pith.paper-citation-record.v1
2505.18247 v3

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:39:06.912570Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy10
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3edcaf1b-095f-4126-a57b-5d018c632065 · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:39:04.950855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aa1c76b-7b8f-4421-9595-d812b8637960 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:39:05.032688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cbbbe44-1ac3-4019-bb18-29a518038628 · outbound

This paper cites The probabilistic relevance framework: Bm25 and beyond.F oundations and Trends in Information Retrieval, 3(4):333–389, 2009.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering The probabilistic relevance framework: Bm25 and beyond.F oundations and Trends in Information Retrieval, 3(4):333–389, 2009

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:09.795629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 791b134c-2b27-4aab-93e8-811148b4ad92 · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering Sentence-bert: Sentence embeddings using siamese bert-networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:09.516823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d2988504-de99-4e49-b594-c8436f29204d · outbound

This paper cites an unresolved cited work.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:39:05.403285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76dea334-ae5b-4381-977c-337ea45da905 · outbound

This paper cites Dense passage retrieval for open-domain question answering.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering Dense passage retrieval for open-domain question answering

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:09.273737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8083bebe-2262-4f71-8228-c764e6b7946e · outbound

This paper cites Simple and effective unsupervised redundancy elimination to compress dense representations.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering Simple and effective unsupervised redundancy elimination to compress dense representations

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:08.936504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 23aba7b0-168e-4155-9aa2-8db5815eceb6 · outbound

This paper cites Blended rag: Improving retriever-augmented generation accuracy with semantic search and hybrid query-based retrievers.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering Blended rag: Improving retriever-augmented generation accuracy with semantic search and hybrid query-based retrievers

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:08.754543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 342e1420-2d2d-484a-be84-8f875cffebb1 · outbound

This paper cites AlzheimerRAG: Multimodal Retrieval Augmented Generation for Clinical Use Cases using PubMed articles.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering AlzheimerRAG: Multimodal Retrieval Augmented Generation for Clinical Use Cases using PubMed articles

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:39:05.955623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffb59cf6-8ffc-4738-9137-e4c2eb32eb06 · outbound

This paper cites Raft: Adapting language model to domain specific rag.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering Raft: Adapting language model to domain specific rag

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:08.474926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 704173c8-fdcc-495f-a0a8-051473d99c18 · outbound

This paper cites A comparative study on embedding models for keyword extraction using keybert method.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering A comparative study on embedding models for keyword extraction using keybert method

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:08.247122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3aabf46c-5bf3-4d28-95c0-daf6884757d1 · outbound

This paper cites A natural language processing model on bert and yake technique for keyword extraction on sustainability reports.IEEE Access, 12:7942–7951, 2024.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering A natural language processing model on bert and yake technique for keyword extraction on sustainability reports.IEEE Access, 12:7942–7951, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:07.962155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4e59fb25-86a7-45f6-adbd-24bae61fd5f5 · outbound

This paper cites An algorithm for automatic text annotation for named entity recognition using spacy framework.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering An algorithm for automatic text annotation for named entity recognition using spacy framework

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:07.722450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 92d2ea4a-0c0c-44d5-a25c-00dff83f01d3 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:39:06.558314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9803efa-adf9-4e68-8ac9-a113d339f3c1 · outbound

This paper cites The Llama 3 Herd of Models.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering The Llama 3 Herd of Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:39:06.680306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 553e3f55-715e-44b5-b44b-ca70c7ec1fd5 · outbound

This paper cites Rankrag: Unifying context ranking with retrieval-augmented generation in llms.Advances in Neural Information Processing Systems, 37:121156–121184, 2024.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering Rankrag: Unifying context ranking with retrieval-augmented generation in llms.Advances in Neural Information Processing Systems, 37:121156–121184, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:07.466691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 29f5e5e3-8a20-494e-a520-f68bf912b811 · outbound

This paper cites an unresolved cited work.

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:39:07.225129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.