Paper Citation Record · LEDGER

Towards Classifying Histopathological Microscope Images as Time Series Data

As of 21 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2506.15977.

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

pith.paper-citation-record.v1
2506.15977 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:51:51.220132Z

measured 26 of 26 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:51:49.191618Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:51:51.581488Z

Reference resolution

25 of 25 outbound references displayed

verified exact1
verified fuzzy18
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 20e5c2c2-af21-46fb-83a4-fe6fe938fb22 · outbound

This paper cites Towards Classifying Histopathological Microscope Images as Time Series Data.

Towards Classifying Histopathological Microscope Images as Time Series Data Towards Classifying Histopathological Microscope Images as Time Series Data

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T23:51:51.634337Z

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Observation b0db71a0-5f22-45e9-9981-f6f8e1cdd0cc · outbound

This paper cites The overall framework is depicted in Figure 2.

Towards Classifying Histopathological Microscope Images as Time Series Data The overall framework is depicted in Figure 2

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:54.439630Z

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Observation f5514191-627b-4f49-9cb2-6fecc8702169 · outbound

This paper cites an unresolved cited work.

Towards Classifying Histopathological Microscope Images as Time Series Data Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:51:54.335434Z

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Observation 4853b229-03cd-4c44-a559-c143f453b82d · outbound

This paper cites Our proposed framework preprocesses data using various tech- niques and performs time series analysis and point estima- tion simultaneously.

Towards Classifying Histopathological Microscope Images as Time Series Data Our proposed framework preprocesses data using various tech- niques and performs time series analysis and point estima- tion simultaneously

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:54.207615Z

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Observation 2ab8542c-19c1-456f-acf4-9ff802452200 · outbound

This paper cites Approval was granted by the Ethics Review Board (SMF-IRB-2020-007) and (KAIST-IRB-22- 335).

Towards Classifying Histopathological Microscope Images as Time Series Data Approval was granted by the Ethics Review Board (SMF-IRB-2020-007) and (KAIST-IRB-22- 335)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:54.084875Z

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 1ddd23e6-39fb-48e4-a8c5-dc2eefc5f69e · outbound

This paper cites Research on Develop- ing a Next Generation Medical Diagnosis System Using Deep Learning.

Towards Classifying Histopathological Microscope Images as Time Series Data Research on Develop- ing a Next Generation Medical Diagnosis System Using Deep Learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:53.950063Z

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Observation 4ca4c988-f2ff-46a3-a748-503225c5d9fc · outbound

This paper cites Soft-dtw: a differ- entiable loss function for time-series,.

Towards Classifying Histopathological Microscope Images as Time Series Data Soft-dtw: a differ- entiable loss function for time-series,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:52.875191Z

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Observation 928f4b48-9571-4e47-ad2d-aff46232072d · outbound

This paper cites Deep learning in cancer pathol- ogy: a new generation of clinical biomarkers,.

Towards Classifying Histopathological Microscope Images as Time Series Data Deep learning in cancer pathol- ogy: a new generation of clinical biomarkers,

Reference 8

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Observation dac2e125-8fac-455a-8275-133fafe567de · outbound

This paper cites Deep learning in histopathology: the path to the clinic,.

Towards Classifying Histopathological Microscope Images as Time Series Data Deep learning in histopathology: the path to the clinic,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:53.635085Z

Source-reported events for the cited work

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Observation 899e5c57-e8c3-4d2b-a6e4-b37c045278b3 · outbound

This paper cites A deep learning approach for colonoscopy pathology wsi analysis: accurate seg- mentation and classification,.

Towards Classifying Histopathological Microscope Images as Time Series Data A deep learning approach for colonoscopy pathology wsi analysis: accurate seg- mentation and classification,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:53.478785Z

Source-reported events for the cited work

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Observation c271e3d1-e4c0-47cb-a3ba-ba9564518d9e · outbound

This paper cites From whole slide imag- ing to microscopy: Deep microscopy adaptation net- work for histopathology cancer image classification,.

Towards Classifying Histopathological Microscope Images as Time Series Data From whole slide imag- ing to microscopy: Deep microscopy adaptation net- work for histopathology cancer image classification,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:53.330411Z

Source-reported events for the cited work

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Observation 989f93b4-b03b-45f7-b468-2b51f35f817e · outbound

This paper cites Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) net- work,.

Towards Classifying Histopathological Microscope Images as Time Series Data Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) net- work,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:53.179919Z

Source-reported events for the cited work

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Observation 29342454-89f9-46f6-ae23-d783c02a62e7 · outbound

This paper cites Whole slide imaging in pathology: advan- tages, limitations, and emerging perspectives,.

Towards Classifying Histopathological Microscope Images as Time Series Data Whole slide imaging in pathology: advan- tages, limitations, and emerging perspectives,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:53.031344Z

Source-reported events for the cited work

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Observation f93bacc1-d6bb-47f6-86d4-bf0478e0f44f · outbound

This paper cites Attention-based deep multiple instance learning,.

Towards Classifying Histopathological Microscope Images as Time Series Data Attention-based deep multiple instance learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:52.102730Z

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 342d5941-45e6-420e-864b-6a551e796272 · outbound

This paper cites Benchmarking self- supervised learning on diverse pathology datasets,.

Towards Classifying Histopathological Microscope Images as Time Series Data Benchmarking self- supervised learning on diverse pathology datasets,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:52.733115Z

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 59e9e0e5-69a6-4093-b8aa-5ed2867009a0 · outbound

This paper cites The model was trained using the Adam optimizer [17] with a learning rate of1e−4and betas of(0.9,0.999).

Towards Classifying Histopathological Microscope Images as Time Series Data The model was trained using the Adam optimizer [17] with a learning rate of1e−4and betas of(0.9,0.999)

Reference 16

Resolution: verified exact; raw_fallback, observed 2026-08-06T23:51:51.499055Z

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 57fd7388-2a28-4c0c-8c0c-afd7a6a6e053 · outbound

This paper cites Attention is all you need,.

Towards Classifying Histopathological Microscope Images as Time Series Data Attention is all you need,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:52.579964Z

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 52162777-dd0c-4955-90cc-13b1525d1761 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

Towards Classifying Histopathological Microscope Images as Time Series Data IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 18

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Source-reported events for the cited work

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Observation e9dfd5d0-437f-452a-b3f5-faf76cd56e29 · outbound

This paper cites Dynamic-programming approach to continuous speech recognition,.

Towards Classifying Histopathological Microscope Images as Time Series Data Dynamic-programming approach to continuous speech recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:52.460034Z

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 7fd1e2d3-96cf-4955-8e07-acc98ea5b136 · outbound

This paper cites Long short-term memory,.

Towards Classifying Histopathological Microscope Images as Time Series Data Long short-term memory,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:52.279579Z

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 aaab2d23-d446-432b-9454-a69e879c26aa · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Towards Classifying Histopathological Microscope Images as Time Series Data Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:50.783242Z

Source-reported events for the cited work

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Observation 06917251-9400-4582-ba0c-78bcf14cfeeb · outbound

This paper cites Transmil: Trans- former based correlated multiple instance learning for whole slide image classification,.

Towards Classifying Histopathological Microscope Images as Time Series Data Transmil: Trans- former based correlated multiple instance learning for whole slide image classification,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:51.985344Z

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 ec44b585-6b8f-412d-be5f-846dbb54c933 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Towards Classifying Histopathological Microscope Images as Time Series Data An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:51.019081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41e384d7-d869-4294-a77b-e3a6ad93eec0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Towards Classifying Histopathological Microscope Images as Time Series Data Adam: A Method for Stochastic Optimization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:51.093481Z

Source-reported events for the cited work

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Observation 24d6b38f-4d10-4357-8931-b4ea67d6aaec · outbound

This paper cites A dataset for breast cancer histopathological image classification,.

Towards Classifying Histopathological Microscope Images as Time Series Data A dataset for breast cancer histopathological image classification,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:51.807099Z

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.

Pith citing papers

Observation 20e5c2c2-af21-46fb-83a4-fe6fe938fb22 · inbound