Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering | Paper Citation Record

Observation f56026a1-d8a9-42db-b362-d5c48dd4382c · outbound

This paper cites Healthy llms? benchmarking llm knowledge of uk government public health information.arXiv preprint arXiv:2505.06046, 2025.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Healthy llms? benchmarking llm knowledge of uk government public health information.arXiv preprint arXiv:2505.06046, 2025

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-11T00:47:43.483353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7bc4a045-1198-4657-9141-d42bf58b0e6c · outbound

This paper cites How we are pioneering artificial intelligence applications in public health , Mar 2025.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering How we are pioneering artificial intelligence applications in public health , Mar 2025

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.489298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d54b2de6-a54c-4b2b-9747-392b6d5f75d0 · outbound

This paper cites an unresolved cited work.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-07-11T00:47:45.036978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7dc3390a-15a3-4997-8a3a-b71a47557bea · outbound

This paper cites Sutton, David Pincock, Daniel C.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Sutton, David Pincock, Daniel C

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:45.064253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3778642d-c1a6-4235-8a25-7c0deddb3d09 · outbound

This paper cites Evidence-based methodologies for public health: How to assess the best available evidence when time is limited and there is lack of sound evidence.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Evidence-based methodologies for public health: How to assess the best available evidence when time is limited and there is lack of sound evidence

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.448694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cc1d88d3-2f29-4bd2-bbea-d909c9e70cc2 · outbound

This paper cites The living approach to who normative products and country implementation: Member state briefing.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering The living approach to who normative products and country implementation: Member state briefing

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.925118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4e1ff7fd-216a-4a60-93d6-4eacb0335694 · outbound

This paper cites Disinformation and public health.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Disinformation and public health

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.981332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 64742e22-5b54-4e0f-8d6a-014620c8a38b · outbound

This paper cites Almeida, Natasha Azzopardi-Muscat, Marisa A.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Almeida, Natasha Azzopardi-Muscat, Marisa A

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.350553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3b08b81b-63b6-45d6-a712-4cdb8a02a2b8 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in Neural Information Processing Systems (NeurIPS), 2020.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in Neural Information Processing Systems (NeurIPS), 2020

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.895133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 405b85d9-2b22-494f-9179-cf9f550e60b7 · outbound

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

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:43.554178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1b12791e-9c64-4fe2-ba1f-5f0ecf190f7e · outbound

This paper cites Retrieval-Augmented Generation: A Comprehensive Survey of Architectures, Enhancements, and Robustness Frontiers.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Retrieval-Augmented Generation: A Comprehensive Survey of Architectures, Enhancements, and Robustness Frontiers

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:43.581720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1ee14273-c183-4815-b164-4d027edd0460 · outbound

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

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:43.108711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1e6b5a04-4dc8-4ed7-a286-778dee6bfd44 · outbound

This paper cites MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:42.985056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5cdbd185-be0a-4d81-be22-591cbf5b2112 · outbound

This paper cites Evaluating retrieval-augmented gen- eration–enhanced large language models for question answering on german neurovascular guidelines.Clinical Neuroradiology, 2025.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Evaluating retrieval-augmented gen- eration–enhanced large language models for question answering on german neurovascular guidelines.Clinical Neuroradiology, 2025

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.846211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7ba833e1-9962-4f32-b60d-602488808ca2 · outbound

This paper cites Pichel, and David E.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Pichel, and David E

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.215828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ef2930a9-0dd2-4651-a9d1-b8588d829faf · outbound

This paper cites Preprint.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Preprint

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-11T00:47:43.291336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cabf38eb-60ff-49d6-b4ad-52a2614d964e · outbound

This paper cites HealthQA-BR: A System-Wide Benchmark Reveals Critical Knowledge Gaps in Large Language Models.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering HealthQA-BR: A System-Wide Benchmark Reveals Critical Knowledge Gaps in Large Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:42.890587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e609116f-f6d9-4417-bcc3-c8be29929c58 · outbound

This paper cites an unresolved cited work.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-07-11T00:47:44.400286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a2b0159e-fd32-44ae-98a3-40f8ba284450 · outbound

This paper cites Evaluating large language models for public health classification and extraction tasks, 2025.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Evaluating large language models for public health classification and extraction tasks, 2025

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.101227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0faecb49-1e96-4529-b35f-cc9720f2d520 · outbound

This paper cites Improving language models by retrieving from trillions of tokens.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Improving language models by retrieving from trillions of tokens

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T00:47:43.197701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 60fd3503-74c5-4988-821c-8ccfa7dc35e5 · outbound

This paper cites Scaling Retrieval-Based Language Models with a Trillion-Token Datastore.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Scaling Retrieval-Based Language Models with a Trillion-Token Datastore

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T00:47:43.048304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c96f647c-6ad4-4d0c-9167-57e55cd0fe80 · outbound

This paper cites A Survey on Knowledge-Oriented Retrieval-Augmented Generation.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering A Survey on Knowledge-Oriented Retrieval-Augmented Generation

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:42.833112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c49c560a-ade9-447e-9a23-dc7ae2f63f55 · outbound

This paper cites Scaling laws for dense retrieval, 2024.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Scaling laws for dense retrieval, 2024

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.749144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 16d970db-b727-4867-97b5-e329ea71bd67 · outbound

This paper cites An analysis of fusion functions for hybrid retrieval.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering An analysis of fusion functions for hybrid retrieval

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.772907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b5ac9dbd-e4b5-47e7-a96b-2b04e90305f5 · outbound

This paper cites Gte-moderncolbert, 2025.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Gte-moderncolbert, 2025

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.868274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 88fe3b9c-5586-4af9-a26e-8838d7de6261 · outbound

This paper cites Medical graph rag: Towards safe medical large language model via graph retrieval- augmented generation, 2024.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Medical graph rag: Towards safe medical large language model via graph retrieval- augmented generation, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.819601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c2d9099d-f995-4c02-8fc4-363e0dcfc230 · outbound

This paper cites Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:43.353045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation db856184-0aff-4d55-b1a6-62451dc0751c · outbound

This paper cites Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:43.016290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 96fd4b72-8c4b-4099-abf3-cef6472d67c6 · outbound

This paper cites an unresolved cited work.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-07-11T00:47:44.793981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d17527ad-ffba-4dc2-8720-933acd33a8a9 · outbound

This paper cites Enhancing retrieval- augmented generation: A study of best practices.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Enhancing retrieval- augmented generation: A study of best practices

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.424396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 669b457e-71cf-4e82-9ea3-71aac4c17fe4 · outbound

This paper cites Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:43.323256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4e2580b9-6fcf-4c4b-b000-1252e1849aea · outbound

This paper cites Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.568780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation edfd1da8-3471-408b-b791-5ab57d63f35b · outbound

This paper cites What disease does this patient have? a large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421, 2021.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering What disease does this patient have? a large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421, 2021

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.597335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 48db1860-fbe1-4d38-9194-891c5adbacf5 · outbound

This paper cites It is Too Many Options: Pitfalls of Multiple-Choice Questions in Generative AI and Medical Education.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering It is Too Many Options: Pitfalls of Multiple-Choice Questions in Generative AI and Medical Education

Reference 34

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T00:47:42.861974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0f2108e3-95da-4f3e-b0ec-4155de889c63 · outbound

This paper cites A Benchmark for Long-Form Medical Question Answering.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering A Benchmark for Long-Form Medical Question Answering

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T00:47:43.425499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a015c24f-1c8c-4d83-8974-a820058005ce · outbound

This paper cites K-qa: A real-world medical q&a benchmark.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering K-qa: A real-world medical q&a benchmark

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.720886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c4cd336e-2327-4343-9cda-719d08db3239 · outbound

This paper cites Aka, Folafunmi Omofoye, Foutse Yuehgoh, Timothy Faniran, Bonaventure F.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Aka, Folafunmi Omofoye, Foutse Yuehgoh, Timothy Faniran, Bonaventure F

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.690491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d8bfb1a2-3df5-455f-a3af-fb1faeb97e40 · outbound

This paper cites An empirical study of evaluating long-form question answering.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering An empirical study of evaluating long-form question answering

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.190299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 403bbb8e-aad8-4e45-8b37-1503a3f768d1 · outbound

This paper cites A critical evaluation of evaluations for long-form question answering.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering A critical evaluation of evaluations for long-form question answering

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.293648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 01e4261d-a59d-4473-a1ae-2466d8f68b9e · outbound

This paper cites Prometheus: Inducing Fine-grained Evaluation Capability in Language Models.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:43.607838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bac534d8-fbc6-46c3-8931-61fe4213d9de · outbound

This paper cites Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:43.136596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cce28b6f-c0fc-42a6-aaf2-0c2c1d567c15 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 42

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T00:47:43.165667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a2554abf-6f5d-4bc4-9f8d-0fcacf3c6b30 · outbound

This paper cites A Survey on LLM-as-a-Judge.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering A Survey on LLM-as-a-Judge

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:43.505591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 404f6646-c188-4351-878d-a3bc4492f375 · outbound

This paper cites Automating evaluation of ai text generation in healthcare using medical llm-as-a-judge.medRxiv, 2025.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Automating evaluation of ai text generation in healthcare using medical llm-as-a-judge.medRxiv, 2025

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.468679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bc0f0685-82fa-41f6-9d55-f67fc8cdf7f4 · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:43.229711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3a3acae4-08c5-460f-87e2-0705f4d34177 · outbound

This paper cites Introducing embeddinggemma: The best-in-class open model for on-device embeddings.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Introducing embeddinggemma: The best-in-class open model for on-device embeddings

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.320395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7cf6f793-4edd-4ca1-9cd5-509ac7bcf477 · outbound

This paper cites Smarter, better, faster, longer: A modern bidirectional encoder for fast, memory efficient, and long context finetuning and inference, 2024.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Smarter, better, faster, longer: A modern bidirectional encoder for fast, memory efficient, and long context finetuning and inference, 2024

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.953283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1dd2e25b-da8b-4f33-bce3-b2ea1748dd3c · outbound

This paper cites Sfr-embedding-mistral: Enhance text retrieval with transfer learning.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Sfr-embedding-mistral: Enhance text retrieval with transfer learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.162171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50b11def-7367-4b57-8d7e-01d6a5d86abc · outbound

This paper cites Multilingual E5 Text Embeddings: A Technical Report.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Multilingual E5 Text Embeddings: A Technical Report

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:43.258240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 21402e0f-ae1c-4a58-89a7-d8b1c65c0994 · outbound

This paper cites text-embedding-3-large: Openai’s next-generation large embedding model.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering text-embedding-3-large: Openai’s next-generation large embedding model

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.267690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fe4eddbd-0284-4c8e-8893-24bb40ba76d3 · outbound

This paper cites Cormack, Charles L.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Cormack, Charles L

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.127597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation facfc7f5-32bf-42df-a22e-27df6a0b40e6 · outbound

This paper cites Dangi, Beni B.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Dangi, Beni B

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.655637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 559d67c3-e542-40d0-b021-8c30d2ef2757 · outbound

This paper cites The Llama 3 Herd of Models.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering The Llama 3 Herd of Models

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:42.951072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9b80c18b-3c29-4c94-845d-a82f540e09f1 · outbound

This paper cites Phi-4 Technical Report.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Phi-4 Technical Report

Reference 54

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T00:47:43.079268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 387467cf-b992-42b7-8bf6-0faffd21bdeb · outbound

This paper cites Gemma 3 Technical Report.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Gemma 3 Technical Report

Reference 55

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T00:47:43.528264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 331115bc-8b3a-4e9b-9fde-e2ec5cb4df03 · outbound

This paper cites MedGemma Technical Report.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering MedGemma Technical Report

Reference 56

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T00:47:42.920085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7b7b6170-5e8e-41ea-8149-29caf42eae60 · outbound

This paper cites Cohere labs command-r (c4ai-command-r-v01).

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Cohere labs command-r (c4ai-command-r-v01)

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.539838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9e7ef93a-dc46-44f5-ba9c-a176960da832 · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:43.458253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation effc1996-b5a8-4769-a962-48ee0d1017a1 · outbound

This paper cites On (normalised) discounted cumulative gain as an off-policy evaluation metric for top-n recommendation.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering On (normalised) discounted cumulative gain as an off-policy evaluation metric for top-n recommendation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:45.010582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e30dba41-f2a0-44fd-927e-690151d01109 · outbound

This paper cites BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:47:43.387401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 16627bf9-6373-494c-8fa1-2d29eccce571 · outbound

This paper cites Implementing large language models in health care: Clinician-focused review with interactive guideline.Journal of Medical Internet Research, 27(1):e71916, 2025.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Implementing large language models in health care: Clinician-focused review with interactive guideline.Journal of Medical Internet Research, 27(1):e71916, 2025

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.627865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f594d437-f89b-4e98-a651-0ce057ca09c0 · outbound

This paper cites Opinion 28/2024 on certain data protection aspects related to the processing of personal data in the context of ai models.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Opinion 28/2024 on certain data protection aspects related to the processing of personal data in the context of ai models

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.511434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d30faab3-bf2b-4618-8572-c1ecc13ff2cd · outbound

This paper cites A guide to good practice for digital and data-driven health technologies.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering A guide to good practice for digital and data-driven health technologies

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.378382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 34525cfc-9e8f-4d4e-b06d-0b08cf4b4965 · outbound

This paper cites Frangi, Antonio R.

Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Frangi, Antonio R

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:47:44.241339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers