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Paper Citation Record · LEDGER

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2509.02851.

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

pith.paper-citation-record.v1
2509.02851 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:24:57.873933Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

43 of 43 outbound references displayed

  • verified exact5
  • verified fuzzy13
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 00419dd9-06a5-4ee0-a020-ad037b6eb523 · outbound

This paper cites L., Miller, K.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach L., Miller, K

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7eca1d4c-394b-4013-bfe3-2036db1b89cf · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b5bf01ec-c6fa-4dee-9759-b9d5f357be68 · outbound

This paper cites L., Miller, K.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach L., Miller, K

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6c139c68-021b-493d-a6ba-1c2593921739 · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e11b5c57-93a5-4f76-b735-2cdac58e7f73 · outbound

This paper cites L., Giaquinto, A.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach L., Giaquinto, A

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8a26d46a-6bf3-489e-a652-754beedb981c · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 6

Resolution
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Source-reported events for the cited work

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Observation db58c136-b767-4a3b-bb36-b4b9f66427ea · outbound

This paper cites E., et al.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach E., et al

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c013eb2e-fa9a-4d1b-a970-45fe238ecdfe · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 8

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7a4dd88a-7921-4bd8-9813-9ebedb493db6 · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 9

Resolution
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Source-reported events for the cited work

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Observation baa297de-b4a3-4b09-94e8-0864bbf006de · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 10

Resolution
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Source-reported events for the cited work

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Observation 79ac92bb-bf75-4ae3-9835-6cbdd32d7aec · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 11

Resolution
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Source-reported events for the cited work

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Observation bb75f2e0-42f1-4554-b402-4697bb9e46fb · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3f4481d1-94f8-46be-9025-91362b5f62a0 · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f52bf5a8-9eec-45ad-89eb-ea1b3d994aac · outbound

This paper cites & Zhang, C.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach & Zhang, C

Reference 14

Resolution
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Source-reported events for the cited work

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Observation adf40149-7416-400e-ba65-8b559b21c1b0 · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 630acf86-b13e-4897-ab71-7e2986431405 · outbound

This paper cites E., et al.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach E., et al

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b819e536-79ad-42be-a5df-993693e94462 · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 804601d7-5680-48b6-a224-1903b098ce0c · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f8a2220e-bf64-4ed1-baad-b5f60355a471 · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 17fd9a26-2252-4f37-833c-090d99d45a0f · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 17d35ec2-7972-487e-a7c0-5d1f4ee988d8 · outbound

This paper cites Lung and Colon Cancer Histopathological Image Dataset (LC25000).

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 21

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8be2e147-988e-4831-a229-cfd03a5cf914 · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 22

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ff886823-2b45-48ba-8e98-d24329932bdf · outbound

This paper cites E., Kim, H.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach E., Kim, H

Reference 23

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 034bcc16-968c-4e23-b94a-e1d350ddc75c · outbound

This paper cites N., Krisam, J., Charoentong, P., Luedde, T., Herpel, E., Weis, C.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach N., Krisam, J., Charoentong, P., Luedde, T., Herpel, E., Weis, C

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation feb616ec-45b8-49ae-b0e6-750eafc36628 · outbound

This paper cites W., Suriawinata, A.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach W., Suriawinata, A

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e5176548-b57c-4f1e-98f0-a8ffcfad18c1 · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:25:00.450352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 425ecce1-7e04-4581-a8d0-d9c18a243dde · outbound

This paper cites I., Tong, Y., Xu, C., Su, Y.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach I., Tong, Y., Xu, C., Su, Y

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b7c598a8-828c-47ef-8917-e5dd9ac575a1 · outbound

This paper cites Convolution Neural Networks for diagnosing colon and lung cancer histopathological images.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Convolution Neural Networks for diagnosing colon and lung cancer histopathological images

Reference 28

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 13e34580-775d-41b9-960a-185c4cfd0d11 · outbound

This paper cites A., Bairagi, A.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach A., Bairagi, A

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ef3780a1-bccd-4b5a-aa62-2c8240454212 · outbound

This paper cites Prediction of lung and colon cancer through analysis of histopathological images by utilizing Pre-trained CNN models with visualization of class activation and saliency maps.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Prediction of lung and colon cancer through analysis of histopathological images by utilizing Pre-trained CNN models with visualization of class activation and saliency maps

Reference 30

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 63dd5148-9d74-4b35-9bcc-1052ef8df730 · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 31

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 76a1309a-8cc4-4d92-9be8-87dfc81abfcb · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e0c61089-8c90-4c61-839b-a53394260ae0 · outbound

This paper cites [34] addressed issues of feature redundancy through advanced optimization techniques.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach [34] addressed issues of feature redundancy through advanced optimization techniques

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7e942cc6-b3cf-42ed-9fb4-2a8560731d32 · outbound

This paper cites E., et al.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach E., et al

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1fa2b8da-7717-4878-a629-82dfeebe42d0 · outbound

This paper cites E., Sabour, S., & Frosst, N.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach E., Sabour, S., & Frosst, N

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:24:59.774272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a521d614-16ff-4802-a46b-33f8d76b79d1 · outbound

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

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 36

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1c4d92a0-b198-4063-9db0-85667adf42fe · outbound

This paper cites What the F-measure doesn't measure: Features, Flaws, Fallacies and Fixes.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach What the F-measure doesn't measure: Features, Flaws, Fallacies and Fixes

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:24:58.232184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2f8164dd-1130-4a75-a993-5e3bad60252c · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:24:59.619421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3b7a6c2a-5b51-4ce4-abc7-c8507c9ab4e0 · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:24:59.453223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bdee4190-de6d-4755-9176-3712a932d11f · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:24:59.270685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T11:24:57.610865Z digest=sha256:10028060afb4180a961a0eff5dc1fd5468b2eca27d29f5976954272c2c0956d1

Observation d06705ef-98f4-4240-be43-33abf0dfc60e · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:24:59.091562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T11:24:57.706113Z digest=sha256:b262d8c467023e6656c6e9fb28540ad9de29ba49e08bd4c93a67c286be1bd19c

Observation be0caf9f-3896-4ec4-9c00-ba4d771feeff · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:24:58.953696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T11:24:57.778665Z digest=sha256:960fe14195557fbd4d4cdb8cdd0190687ef4b165479a4d15661e41ffdb4b590b

Observation dd27f3d0-b32f-4ee9-846d-c903489c89a5 · outbound

This paper cites an unresolved cited work.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:24:58.815260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T11:24:57.873933Z digest=sha256:dc00def75db0cca66603c3d494a0aff1b61fc41b690b25c9fe95c35a4be70183

Pith citing papers

No inbound Pith citation observations are available.