Paper Citation Record · LEDGER

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents

As of 21 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2505.11582.

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

pith.paper-citation-record.v1
2505.11582 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:57:02.019790Z

measured 37 of 37 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 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

37 of 37 outbound references displayed

verified exact1
verified fuzzy22
unresolved14
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5816d558-404e-460c-8e8c-3f3937c71e12 · outbound

This paper cites Summarization from medical documents: a survey,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Summarization from medical documents: a survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.514883Z

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 980ccdf9-3dac-42aa-b34a-839b18843278 · outbound

This paper cites Automatic indexing: an experimental inquiry,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Automatic indexing: an experimental inquiry,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.501092Z

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 f1064745-d681-4854-91f3-dbea467ed944 · outbound

This paper cites A tutorial on automated text categorisation,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents A tutorial on automated text categorisation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.488202Z

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 027b4201-109e-4cf3-b7ec-c269f8fdd74a · outbound

This paper cites Historical overview of ai adoption in libraries,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Historical overview of ai adoption in libraries,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.472856Z

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 a12b47c3-9e71-42b4-96d6-ffa0e22a35e8 · outbound

This paper cites Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:01.883535Z

Source-reported events for the cited work

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Observation 5e99192a-3361-4b73-a78a-b7f4751ae366 · outbound

This paper cites What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:01.888000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05856307-e26d-434f-86a7-c86675783993 · outbound

This paper cites Recurrent convolutional neural networks for text classification,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Recurrent convolutional neural networks for text classification,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.460616Z

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 f610a956-66eb-44f7-877f-42e160250685 · outbound

This paper cites Fake review detection using transformer-based enhanced lstm and roberta,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Fake review detection using transformer-based enhanced lstm and roberta,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.447219Z

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 bfd2790a-d9ca-46b5-92c0-1060840d1b61 · outbound

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

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:01.900899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab7c7df9-5c2d-4391-9c11-0d73e176a873 · outbound

This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:01.904765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8f6cd20-2594-46b2-8750-c3cbf49b476b · outbound

This paper cites Gormley and Z.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Gormley and Z

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.420499Z

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 ac5af5f0-72f4-4d5e-8bf3-921896b01fcd · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:01.912518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 572f223f-f045-4362-b114-026de136a41f · outbound

This paper cites Deep learning with gpus,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Deep learning with gpus,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.397824Z

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 3ba2c3e0-c832-46ea-9660-d524d0a47771 · outbound

This paper cites Rethinking simd vectorization for in-memory databases,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Rethinking simd vectorization for in-memory databases,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.382113Z

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 6aa63f1f-9f1b-4f66-96a2-58d3a1bb08f7 · outbound

This paper cites ANNOY library,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents ANNOY library,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.369100Z

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 70f7bd33-11b9-4dc9-bf95-9fbf8a08a303 · outbound

This paper cites Efficient and robust approxi- mate nearest neighbor search using hierarchical navigable small world graphs,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Efficient and robust approxi- mate nearest neighbor search using hierarchical navigable small world graphs,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:01.928010Z

Source-reported events for the cited work

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Observation 4787496d-4813-4298-b599-666723b884bf · outbound

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

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Efficient Estimation of Word Representations in Vector Space

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:01.931793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 225ab1a9-8251-4cf7-9913-edf29aa08f8e · outbound

This paper cites Launching into clinical space with medspacy: a new clinical text processing toolkit in python,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Launching into clinical space with medspacy: a new clinical text processing toolkit in python,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.349694Z

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 e4d78365-b170-42d4-8670-448c771d988c · outbound

This paper cites Minillm: Knowledge distillation of large language models,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Minillm: Knowledge distillation of large language models,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:01.939951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ded5c72-6110-4269-87f0-79ffd5f2e28e · outbound

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Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Unresolved cited work

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92d43c01-4b52-4f8c-bd21-a3aed37b0810 · outbound

This paper cites Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:57:02.119795Z

Source-reported events for the cited work

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Observation c4c66f03-df40-4803-85a0-dcb3ef46c425 · outbound

This paper cites A brief survey of vector databases,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents A brief survey of vector databases,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.323728Z

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 2b961a66-204d-4c76-9129-c9d7b80ecda9 · outbound

This paper cites Improving lexical embeddings with semantic knowledge,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Improving lexical embeddings with semantic knowledge,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.311203Z

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 01b6f3dd-9f79-4dee-b9db-f030a30b807e · outbound

This paper cites Hallucinations in llms: Understanding and addressing challenges,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Hallucinations in llms: Understanding and addressing challenges,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.296557Z

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 d3934926-3602-4630-b74c-44ad18e18832 · outbound

This paper cites Glove: Global vectors for word representation,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Glove: Global vectors for word representation,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:01.968781Z

Source-reported events for the cited work

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Observation ea23eb68-0cab-4631-a7c9-c52f5b33aeab · outbound

This paper cites Measuring disentanglement: A review of metrics,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Measuring disentanglement: A review of metrics,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.267895Z

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 32864e71-7788-40e7-aaa0-e6e145b9f61b · outbound

This paper cites Toy Models of Superposition.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Toy Models of Superposition

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:01.976705Z

Source-reported events for the cited work

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Observation 41b60b20-a361-4366-b610-696301ac854f · outbound

This paper cites Lower-bounding term frequency normalization,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Lower-bounding term frequency normalization,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.255619Z

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 212ddb95-2b25-4b41-ab6e-88cbc893fbb2 · outbound

This paper cites Comparison of term frequency and document frequency based feature selection metrics in text categorization,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Comparison of term frequency and document frequency based feature selection metrics in text categorization,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.243512Z

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 169af162-ea9f-4d49-a174-87e57b196906 · outbound

This paper cites Okapi at trec-3,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Okapi at trec-3,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.230699Z

Source-reported events for the cited work

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Observation 87b65f30-9787-40a8-9a55-6f9f9dc3607e · outbound

This paper cites A review of recurrent neural networks: Lstm cells and network architectures,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents A review of recurrent neural networks: Lstm cells and network architectures,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.218040Z

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 1e375a9a-7a81-4067-b7ff-9c0fbe46501f · outbound

This paper cites Summary of chatgpt-related research and perspective towards the future of large language models,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents Summary of chatgpt-related research and perspective towards the future of large language models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.205283Z

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 57e057ce-d684-4f58-bd2c-fe192ccdaef6 · outbound

This paper cites It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:02.002577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d85e19a-8e52-46e9-aca4-fa794395e595 · outbound

This paper cites An overview of the tesseract ocr engine,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents An overview of the tesseract ocr engine,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.192129Z

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 eb50d73d-409d-4767-b468-57ff2be1b7ca · outbound

This paper cites The impact of preprocessing on word embedding quality: A comparative study,.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents The impact of preprocessing on word embedding quality: A comparative study,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:02.176848Z

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 b9cb5b05-db72-427f-b109-780030fc157d · outbound

This paper cites BM25S: Orders of magnitude faster lexical search via eager sparse scoring.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents BM25S: Orders of magnitude faster lexical search via eager sparse scoring

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:02.015334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5563e7ae-af48-4a38-844c-a3e0e903a6a5 · outbound

This paper cites The Llama 3 Herd of Models.

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents The Llama 3 Herd of Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:02.019790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.