Paper Citation Record · LEDGER

Exploring Foundation Models Fine-Tuning for Cytology Classification

As of 13 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2411.14975.

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

pith.paper-citation-record.v1
2411.14975 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:43:52.674797Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:43:52.547318Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T14:43:52.961506Z

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy24
unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4850a68-5b9d-4071-b858-45424f63520f · outbound

This paper cites Exploring Foundation Models Fine-Tuning for Cytology Classification.

Exploring Foundation Models Fine-Tuning for Cytology Classification Exploring Foundation Models Fine-Tuning for Cytology Classification

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:43:52.968024Z

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Observation 8fa72934-32a0-4429-a345-4fc65744d19d · outbound

This paper cites an unresolved cited work.

Exploring Foundation Models Fine-Tuning for Cytology Classification Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:43:53.278974Z

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Observation 4fa045be-82b1-4cf6-9237-c850531ad186 · outbound

This paper cites Fine-tuning methods To adapt FMs to cytology classification, we compare two fine-tuning strategies.

Exploring Foundation Models Fine-Tuning for Cytology Classification Fine-tuning methods To adapt FMs to cytology classification, we compare two fine-tuning strategies

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.267815Z

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Observation 858c39a6-1ce8-4947-86d1-8ccf25742c74 · outbound

This paper cites an unresolved cited work.

Exploring Foundation Models Fine-Tuning for Cytology Classification Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:43:53.256484Z

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Observation 6f9dc144-21f5-4daf-91b1-b5e3f094aaf1 · outbound

This paper cites For instance, 2 shots of the SIPaKMeD dataset results a total of 10 examples (two examples per class).

Exploring Foundation Models Fine-Tuning for Cytology Classification For instance, 2 shots of the SIPaKMeD dataset results a total of 10 examples (two examples per class)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.245367Z

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Observation 4e7090af-093e-4424-bfc7-064cc0b652ab · outbound

This paper cites an unresolved cited work.

Exploring Foundation Models Fine-Tuning for Cytology Classification Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:43:53.232636Z

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Observation ab204f8f-c5dc-41f0-819d-f11dcb01f7cf · outbound

This paper cites an unresolved cited work.

Exploring Foundation Models Fine-Tuning for Cytology Classification Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:43:53.222127Z

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Observation 2c5f2ad3-805d-49aa-946a-91d38e9c4fd7 · outbound

This paper cites Dausort and T.

Exploring Foundation Models Fine-Tuning for Cytology Classification Dausort and T

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.210560Z

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Observation 6e8f8e46-da87-40a6-817b-f9e5cc00f7cd · outbound

This paper cites The history of cervical screening i: the pap. test,.

Exploring Foundation Models Fine-Tuning for Cytology Classification The history of cervical screening i: the pap. test,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.200138Z

Source-reported events for the cited work

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Observation 6e255583-3682-4f4e-925e-2533f1e4ed73 · outbound

This paper cites Diversity in machine learning,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Diversity in machine learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.180080Z

Source-reported events for the cited work

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Observation 704a285c-190c-4f41-bed9-bbd6e91af0b6 · outbound

This paper cites Deeppap: deep convolutional net- works for cervical cell classification,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Deeppap: deep convolutional net- works for cervical cell classification,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.169473Z

Source-reported events for the cited work

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Observation 35e1bfec-ebbb-49b4-8aa2-b9d56edf6201 · outbound

This paper cites A comprehensive survey of few-shot learning: Evolution, applications, challenges, and opportunities,.

Exploring Foundation Models Fine-Tuning for Cytology Classification A comprehensive survey of few-shot learning: Evolution, applications, challenges, and opportunities,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.158336Z

Source-reported events for the cited work

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Observation f4f4b5c2-4c59-4aca-af65-455fee4cd266 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Learning transferable visual models from natural language supervision,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.147241Z

Source-reported events for the cited work

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Observation b21399bc-3865-4602-bfea-d21591e0cf01 · outbound

This paper cites Visual Transformers: Token-based Image Representation and Processing for Computer Vision.

Exploring Foundation Models Fine-Tuning for Cytology Classification Visual Transformers: Token-based Image Representation and Processing for Computer Vision

Reference 15

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Observation 9a4b0a35-bdd2-4e5e-a3fb-e0db1d58ce30 · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

Exploring Foundation Models Fine-Tuning for Cytology Classification BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 16

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Source-reported events for the cited work

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Observation 69317d26-ea21-4a2e-8853-757626a887ce · outbound

This paper cites A visual–language foun- dation model for pathology image analysis using medical twit- ter,.

Exploring Foundation Models Fine-Tuning for Cytology Classification A visual–language foun- dation model for pathology image analysis using medical twit- ter,

Reference 17

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Source-reported events for the cited work

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Observation 8dc916b6-e4fe-45c7-bf6f-0799b4a569b5 · outbound

This paper cites Quilt-1m: One million image-text pairs for histopathology,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Quilt-1m: One million image-text pairs for histopathology,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.125351Z

Source-reported events for the cited work

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Observation 024f87ba-afe8-4861-8b41-47d6e7e83284 · outbound

This paper cites A visual-language foundation model for computational pathology,.

Exploring Foundation Models Fine-Tuning for Cytology Classification A visual-language foundation model for computational pathology,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.114361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e22ec6e9-ffd9-4f66-9bfb-c304e858852c · outbound

This paper cites Towards a general- purpose foundation model for computational pathology,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Towards a general- purpose foundation model for computational pathology,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.103493Z

Source-reported events for the cited work

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Observation 48bc69b7-d465-49d1-8c4b-8b86bb72b956 · outbound

This paper cites Boosting vision- language models for histopathology classification: Predict all at once,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Boosting vision- language models for histopathology classification: Predict all at once,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.092931Z

Source-reported events for the cited work

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Observation 52108528-806c-4380-85e0-30ef5390e6f8 · outbound

This paper cites Improving mitosis detection on histopathology images using large vision-language mod- els,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Improving mitosis detection on histopathology images using large vision-language mod- els,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.082044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fc87808c-02bf-4aac-a18f-ac6b8d8f4d75 · outbound

This paper cites Hicervix: An extensive hierarchi- cal dataset and benchmark for cervical cytology classification,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Hicervix: An extensive hierarchi- cal dataset and benchmark for cervical cytology classification,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.071407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4bd5807c-c10f-40e8-907e-e89a45ce8f4f · outbound

This paper cites Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models,

Reference 24

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Source-reported events for the cited work

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Observation e9b3f76a-a37a-4918-9ba5-c74794a294c1 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Exploring Foundation Models Fine-Tuning for Cytology Classification LoRA: Low-Rank Adaptation of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T14:43:52.641386Z

Source-reported events for the cited work

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Observation 059b1667-ca42-4109-a590-5d8a09893372 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity.

Exploring Foundation Models Fine-Tuning for Cytology Classification Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T14:43:52.645411Z

Source-reported events for the cited work

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Observation 97b1c398-ac42-47e4-98cb-cb45c7d55999 · outbound

This paper cites Deep learning for computa- tional cytology: A survey,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Deep learning for computa- tional cytology: A survey,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.190402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1c6d6166-06f5-4c14-95d6-e3ad7736b6de · outbound

This paper cites A systematic review of deep learning-based cervical cytology screening: from cell identifi- cation to whole slide image analysis,.

Exploring Foundation Models Fine-Tuning for Cytology Classification A systematic review of deep learning-based cervical cytology screening: from cell identifi- cation to whole slide image analysis,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.060492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b3af079-bd01-4262-80e9-a4b812857c3a · outbound

This paper cites Comparison of deep learning models for body cavity fluid cytology images classification,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Comparison of deep learning models for body cavity fluid cytology images classification,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.050617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4ebbc7cb-6b06-42e3-a2c8-e141d10c96b3 · outbound

This paper cites Exemplar pyramid deep feature extraction based cervical cancer image classification model using pap-smear images,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Exemplar pyramid deep feature extraction based cervical cancer image classification model using pap-smear images,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.040490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50c78b39-000c-4925-8ad8-ee5663fff0b7 · outbound

This paper cites Parameter-efficient fine-tuning for large models: A comprehensive survey,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Parameter-efficient fine-tuning for large models: A comprehensive survey,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.027889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 71914e56-a96e-4fe8-882a-cc62e639deb0 · outbound

This paper cites Low-rank few-shot adaptation of vision-language models,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Low-rank few-shot adaptation of vision-language models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.016176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5e050b9b-f000-4a2e-bcd1-5adbfdf7e5dd · outbound

This paper cites Body cavity fluid cytology images,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Body cavity fluid cytology images,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:53.004430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b9c72b3-7df9-4e5d-94a8-9481b3bbbebd · outbound

This paper cites Liquid based-cytology pap smear dataset for automated multi-class diagnosis of pre- cancerous and cervical cancer lesions,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Liquid based-cytology pap smear dataset for automated multi-class diagnosis of pre- cancerous and cervical cancer lesions,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:52.992314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4eb4dcc5-5e5f-43dd-a95e-06cc2295d9cc · outbound

This paper cites Sipakmed: A new dataset for feature and image based classi- fication of normal and pathological cervical cells in pap smear images,.

Exploring Foundation Models Fine-Tuning for Cytology Classification Sipakmed: A new dataset for feature and image based classi- fication of normal and pathological cervical cells in pap smear images,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:43:52.980594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation e4850a68-5b9d-4071-b858-45424f63520f · inbound