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Paper Citation Record · LEDGER

Retrieval Augmented Generation Evaluation for Health Documents

As of 16 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2505.04680.

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

pith.paper-citation-record.v1
2505.04680 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:29:50.523585Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

57 of 57 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c1547c6-b134-4c85-8881-7128511cbbce · outbound

This paper cites Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases,.

Retrieval Augmented Generation Evaluation for Health Documents Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases,

Reference 1

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Observation 6a243e49-d131-449b-b0ae-e67e325dbecc · outbound

This paper cites A Survey of Large Language Models.

Retrieval Augmented Generation Evaluation for Health Documents A Survey of Large Language Models

Reference 2

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Observation 1a0ca7cf-4d0c-40ee-bdd9-611ed67db173 · outbound

This paper cites Large language models in medicine,.

Retrieval Augmented Generation Evaluation for Health Documents Large language models in medicine,

Reference 3

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Observation faec1aa8-3549-4c47-a604-241db09635cd · outbound

This paper cites A Comprehensive Overview of Large Language Models.

Retrieval Augmented Generation Evaluation for Health Documents A Comprehensive Overview of Large Language Models

Reference 4

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Observation 6f402145-8279-4916-8160-894f4767b8a8 · outbound

This paper cites A Survey of Transformers.

Retrieval Augmented Generation Evaluation for Health Documents A Survey of Transformers

Reference 5

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Observation 40fc1a6c-949d-4c90-a9b1-8957e854f7cf · outbound

This paper cites Attention Is All You Need.

Retrieval Augmented Generation Evaluation for Health Documents Attention Is All You Need

Reference 6

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Observation 419e74a4-936b-4809-8e88-65e8de4cbac2 · outbound

This paper cites Language Models are Few-Shot Learners.

Retrieval Augmented Generation Evaluation for Health Documents Language Models are Few-Shot Learners

Reference 7

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Observation ff4a91d3-33e1-4b71-8d2b-11ea794ddb99 · outbound

This paper cites A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly,.

Retrieval Augmented Generation Evaluation for Health Documents A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly,

Reference 8

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Observation b0745f95-d6b5-452b-9661-772f369c70d9 · outbound

This paper cites Analyzing Leakage of Personally Identifiable Information in Language Models,.

Retrieval Augmented Generation Evaluation for Health Documents Analyzing Leakage of Personally Identifiable Information in Language Models,

Reference 9

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Observation 082ac750-8a8b-4026-b52a-91f125d59041 · outbound

This paper cites Are Large Pre-Trained Language Models Leaking Your Personal Information?.

Retrieval Augmented Generation Evaluation for Health Documents Are Large Pre-Trained Language Models Leaking Your Personal Information?

Reference 10

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Observation f404674a-68a2-4910-b2e6-c53555f035d9 · outbound

This paper cites Bias and Fairness in Lar ge Language Models: A Survey,.

Retrieval Augmented Generation Evaluation for Health Documents Bias and Fairness in Lar ge Language Models: A Survey,

Reference 11

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Observation 606c45d2-723f-4293-84b3-2ecfed18f989 · outbound

This paper cites Explainability for Large Language Models: A Survey,.

Retrieval Augmented Generation Evaluation for Health Documents Explainability for Large Language Models: A Survey,

Reference 12

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Observation f122cbc2-dcbe-46f2-925c-bbbae5c8e79e · outbound

This paper cites Rethinking Interpretability in the Era of Large Language Models.

Retrieval Augmented Generation Evaluation for Health Documents Rethinking Interpretability in the Era of Large Language Models

Reference 13

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Observation fd3d8392-03de-42da-9716-43b5e4af9a07 · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

Retrieval Augmented Generation Evaluation for Health Documents Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 14

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Observation e34c1222-9e42-4d00-ac71-72f13a55bbad · outbound

This paper cites RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models.

Retrieval Augmented Generation Evaluation for Health Documents RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

Reference 15

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Observation d2dcde57-03b0-4103-b706-00956ceb4904 · outbound

This paper cites The long but necessary road to responsible use of large language models in healthcare research,.

Retrieval Augmented Generation Evaluation for Health Documents The long but necessary road to responsible use of large language models in healthcare research,

Reference 16

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Observation 0af9ad42-9d63-499f-99ae-49bf85bc0c19 · outbound

This paper cites Communication-Efficient Learning of Deep Networks f rom Decentralized Data,.

Retrieval Augmented Generation Evaluation for Health Documents Communication-Efficient Learning of Deep Networks f rom Decentralized Data,

Reference 17

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Observation e06c7ad5-78ad-4453-b087-0e78bdc938ec · outbound

This paper cites Learning Differentially Private Recurrent Language Models.

Retrieval Augmented Generation Evaluation for Health Documents Learning Differentially Private Recurrent Language Models

Reference 18

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Observation 588a8f7e-a580-4fa6-bfb3-28e69ff9465e · outbound

This paper cites The Algorithmic Foundations of Differential P rivacy,.

Retrieval Augmented Generation Evaluation for Health Documents The Algorithmic Foundations of Differential P rivacy,

Reference 19

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Observation 604f7ca5-e75d-4c65-b123-fbdd9dc936ff · outbound

This paper cites A Survey on Bias and Fairness in Machine Learning,.

Retrieval Augmented Generation Evaluation for Health Documents A Survey on Bias and Fairness in Machine Learning,

Reference 20

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Observation 02b58394-87cf-4b30-8b18-e1c7b40b9d84 · outbound

This paper cites ‘Why Should I Trust You?’: Explaining the Predictions of Any Classifier,.

Retrieval Augmented Generation Evaluation for Health Documents ‘Why Should I Trust You?’: Explaining the Predictions of Any Classifier,

Reference 21

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Observation e4d3b7b1-5645-482a-81d9-de0329be86c9 · outbound

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Retrieval Augmented Generation Evaluation for Health Documents Model-Agnostic Interpretability of Machine Learning

Reference 22

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Observation 98bb19cc-5284-4053-8740-89afd3d2a7f6 · outbound

This paper cites A Unified Approach to Interpreting Model Predictions,.

Retrieval Augmented Generation Evaluation for Health Documents A Unified Approach to Interpreting Model Predictions,

Reference 23

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Source-reported events for the cited work

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Observation 474a6f0a-a61e-4b97-ae73-90500ee45779 · outbound

This paper cites Retrieval -Augmented Generation for Knowledge -Intensive NLP Tasks,.

Retrieval Augmented Generation Evaluation for Health Documents Retrieval -Augmented Generation for Knowledge -Intensive NLP Tasks,

Reference 24

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Observation 81f69686-9de3-498a-a770-236df717e67a · outbound

This paper cites Rethinking Machine Unlearning for Large Language Models.

Retrieval Augmented Generation Evaluation for Health Documents Rethinking Machine Unlearning for Large Language Models

Reference 25

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Observation 2a26926d-d4e4-408a-8401-c85f69bb37d5 · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

Retrieval Augmented Generation Evaluation for Health Documents Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 26

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Observation a512c59e-12d2-4af8-a4f2-34845cc5abac · outbound

This paper cites What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning.

Retrieval Augmented Generation Evaluation for Health Documents What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning

Reference 27

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Observation 5d7f509a-0c7b-46a3-a8ee-2a9b7e9b4dbf · outbound

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Retrieval Augmented Generation Evaluation for Health Documents Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation

Reference 28

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Observation 665aa0c5-5e51-42fb-9017-f5dbf9c41a6c · outbound

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Retrieval Augmented Generation Evaluation for Health Documents Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning,

Reference 29

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Source-reported events for the cited work

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Observation ac2e771f-61b6-4b01-a451-00f3433f8e13 · outbound

This paper cites Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break- Even Performance,.

Retrieval Augmented Generation Evaluation for Health Documents Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break- Even Performance,

Reference 30

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Observation c6dbefa3-7ad7-4f4c-88cc-62c988a2f792 · outbound

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Retrieval Augmented Generation Evaluation for Health Documents LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 31

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Observation 4db46fe8-ff2a-4d50-ab37-863a157542f1 · outbound

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

Retrieval Augmented Generation Evaluation for Health Documents Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 32

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Observation 4dec94a0-0189-43b3-a84b-23355556cd30 · outbound

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

Retrieval Augmented Generation Evaluation for Health Documents Retrieval-Augmented Generation for AI-Generated Content: A Survey

Reference 33

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Observation e34a5c57-5be9-45ad-9334-0bd053b188e0 · outbound

This paper cites Evaluating the Ideal Chunk Size for a RAG System using LlamaIndex — LlamaIndex, Data Framework for LLM Applications.

Retrieval Augmented Generation Evaluation for Health Documents Evaluating the Ideal Chunk Size for a RAG System using LlamaIndex — LlamaIndex, Data Framework for LLM Applications

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f7b45622-4cda-47b9-b3c2-0bd1d6e3c056 · outbound

This paper cites Recursively split by character | 🦜️🦜️ LangChain.

Retrieval Augmented Generation Evaluation for Health Documents Recursively split by character | 🦜️🦜️ LangChain

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b94ecc48-a6bb-4a22-b89b-24c1c9ed6046 · outbound

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Retrieval Augmented Generation Evaluation for Health Documents Knowledge Graph Prompting for Multi-Document Question Answering

Reference 36

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Unavailable: canonical work link unavailable.

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Observation 600a0f87-46ae-4c3b-b8d6-b3453ab11a3e · outbound

This paper cites Distributed Representations of Words and Phrases and their Compositionality,.

Retrieval Augmented Generation Evaluation for Health Documents Distributed Representations of Words and Phrases and their Compositionality,

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-15T23:29:51.527810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b96bd143-d3c7-45ed-86e3-3f645ff3b313 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Retrieval Augmented Generation Evaluation for Health Documents BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 38

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source=pdf_text observed=2026-08-15T23:29:50.436192Z digest=sha256:f71d8c45fc02e1773d345caac8c6fdd974688c15bd700de298883c1eb13a6028

Observation 63a10281-8989-450a-8571-f4c4baea082b · outbound

This paper cites ChatQA: Surpassing GPT-4 on Conversational QA and RAG.

Retrieval Augmented Generation Evaluation for Health Documents ChatQA: Surpassing GPT-4 on Conversational QA and RAG

Reference 39

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source=pdf_text observed=2026-08-15T23:29:50.441306Z digest=sha256:86a1f9d96fbd51a0b905b3b5426b3756995fcad50beccf9ad52658eb96e63202

Observation be7766a3-50f8-4c03-8a0c-006b0bf3ad35 · outbound

This paper cites REALM: Retrieval-Augmented Language Model Pre-Training.

Retrieval Augmented Generation Evaluation for Health Documents REALM: Retrieval-Augmented Language Model Pre-Training

Reference 40

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source=pdf_text observed=2026-08-15T23:29:50.445580Z digest=sha256:6ca7ea93fe153812643a0a4a704c042dc575a2fcaa41ad9d1382c33de87f2789

Observation 0bf07b70-0081-4afd-8179-31ee1adfb053 · outbound

This paper cites REPLUG: Retrieval-Augmented Black-Box Language Models.

Retrieval Augmented Generation Evaluation for Health Documents REPLUG: Retrieval-Augmented Black-Box Language Models

Reference 41

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source=pdf_text observed=2026-08-15T23:29:50.450847Z digest=sha256:5f05fd7780cf27572c6b31db226deb4b5606e2364b2be889c9c86a858518efaa

Observation ce1f2fd0-781e-4e79-bcde-692ba4a06094 · outbound

This paper cites InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining.

Retrieval Augmented Generation Evaluation for Health Documents InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

Reference 42

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source=pdf_text observed=2026-08-15T23:29:50.455307Z digest=sha256:48ab9e7de6690ea520214f51cc2c1db8978862963abc77511d9995b909761d68

Observation 3787c558-a974-485f-889d-a86eb95fadb8 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Retrieval Augmented Generation Evaluation for Health Documents Efficient Estimation of Word Representations in Vector Space

Reference 43

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source=pdf_text observed=2026-08-15T23:29:50.460340Z digest=sha256:58389945c66a5aa43d0b2b0a75ce567cc5956030c0e249484f73900e61c7d1c7

Observation 25d50daa-52e9-48d5-be3a-274b7ccd7a0a · outbound

This paper cites GloVe: Global Vectors for Word Representation,.

Retrieval Augmented Generation Evaluation for Health Documents GloVe: Global Vectors for Word Representation,

Reference 44

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source=pdf_text observed=2026-08-15T23:29:50.464816Z digest=sha256:b9e6d2bcadb2d1ce1470af0ea2f1035b0f4232ba6cdc09bd690b4ea4cc20d5eb

Observation c69971a4-b936-47c1-bde4-1ea7abd28c13 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Retrieval Augmented Generation Evaluation for Health Documents Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 45

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source=pdf_text observed=2026-08-15T23:29:50.469891Z digest=sha256:e3eb41310c288d791dfbcd4cd343af9c59e74f9f5b42dbdee4e1135f1a3731c4

Observation e312e2ef-f8cc-4e78-b3d5-2d551cc96435 · outbound

This paper cites Improving Text Embeddings with Large Language Models.

Retrieval Augmented Generation Evaluation for Health Documents Improving Text Embeddings with Large Language Models

Reference 46

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source=pdf_text observed=2026-08-15T23:29:50.474156Z digest=sha256:f366182adf3b78b2f622be35eade0286bd1795f18946c3817ff52eb2ba843d8f

Observation ccb39d48-4692-4978-b85a-9f4baef63ec7 · outbound

This paper cites Mistral 7B.

Retrieval Augmented Generation Evaluation for Health Documents Mistral 7B

Reference 47

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source=pdf_text observed=2026-08-15T23:29:50.479129Z digest=sha256:b613e71b87cbc81d871b89d1d0c0e91cd33802e771f0be3d0c469f42b9f75f2d

Observation 5f43a1c1-880d-4073-8537-8a5cd0a9bb6c · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Retrieval Augmented Generation Evaluation for Health Documents MTEB: Massive Text Embedding Benchmark

Reference 48

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source=pdf_text observed=2026-08-15T23:29:50.483509Z digest=sha256:8385ac0885ad3654f18574998b6973c798f22f9bfa9551ad715f98891fe639a1

Observation 49bdac78-7b87-4a7e-8a5b-253aa81fc94e · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

Retrieval Augmented Generation Evaluation for Health Documents LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 49

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source=pdf_text observed=2026-08-15T23:29:50.488751Z digest=sha256:0c77e726b686c3cdbb29a210c8bb5bf1196fb53f6099962b8a6831f7f1d35512

Observation 57467ee1-b2a6-45df-bfae-f178e459665f · outbound

This paper cites SFR-Embedding-Mistral: Enhance Text Retrieval with Transfer Learning,.

Retrieval Augmented Generation Evaluation for Health Documents SFR-Embedding-Mistral: Enhance Text Retrieval with Transfer Learning,

Reference 50

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:29:50.493132Z digest=sha256:fd94e0b61b3fed1fea382cc81a36d8ef44f7bc2056f9805eb925bb7435af1e7c

Observation cb238a78-7d7e-496c-aeba-ccc7d9966c5a · outbound

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

Retrieval Augmented Generation Evaluation for Health Documents NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 51

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source=pdf_text observed=2026-08-15T23:29:50.497194Z digest=sha256:fed98c54c5db7df82441c1e7182f1d61abf09f6e3ee4dde21d613f9e530331f4

Observation 78ffa10f-04d3-4016-a52e-4f1aff132c95 · outbound

This paper cites ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT.

Retrieval Augmented Generation Evaluation for Health Documents ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

Reference 52

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source=pdf_text observed=2026-08-15T23:29:50.501474Z digest=sha256:003f0c736bf87a1da3a902166c9544adca0d83ea34ca4175056a26b4b191e7cb

Observation 80595dd4-0892-46a2-84af-4f51ac664b46 · outbound

This paper cites ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction.

Retrieval Augmented Generation Evaluation for Health Documents ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Reference 53

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source=pdf_text observed=2026-08-15T23:29:50.505844Z digest=sha256:9ff8a04fa8ca5b0ba66e8c9879a05f7c107f610a7248df84d2dd0a85cfaa3eca

Observation 982e1a9a-5cea-42be-b301-03506f09ef6b · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Retrieval Augmented Generation Evaluation for Health Documents BERTScore: Evaluating Text Generation with BERT

Reference 54

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source=pdf_text observed=2026-08-15T23:29:50.510354Z digest=sha256:72fe2d686585c30d96702943c87366983400956e584c6a3d844aa334c9c2371e

Observation de9c6e7a-a219-4afe-bc8d-749c8463ebcf · outbound

This paper cites Benchmarking Large Language Models in Retrieval-Augmented Generation.

Retrieval Augmented Generation Evaluation for Health Documents Benchmarking Large Language Models in Retrieval-Augmented Generation

Reference 55

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source=pdf_text observed=2026-08-15T23:29:50.514834Z digest=sha256:a98785217329ad01e039006c85ce092fb4f0af82c6b289b7b1a7dfd111c5351f

Observation ba5f30e0-d114-4d6f-a46a-2f61448b3839 · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

Retrieval Augmented Generation Evaluation for Health Documents MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 56

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source=pdf_text observed=2026-08-15T23:29:50.519052Z digest=sha256:4c7fb1e5ae73873dc955216afa3e2146bd17d60da1030d9e01ad37cb258f67f5

Observation 7e09c627-47d9-4ed5-85be-90ed8636de9c · outbound

This paper cites FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

Retrieval Augmented Generation Evaluation for Health Documents FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Reference 57

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source=pdf_text observed=2026-08-15T23:29:50.523585Z digest=sha256:eabba1ce769f31635cef688e095b4f71f93df1c6b44786e99cd8069494c3b0bb

Pith citing papers

No inbound Pith citation observations are available.