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Paper Citation Record · LEDGER

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images

As of 16 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 0 inbound Pith citation observations for arXiv:2505.06710.

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

pith.paper-citation-record.v1
2505.06710 v1

Coverage vector

measured 97 of 97 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:39:46.307532Z

measured 97 of 97 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

97 of 97 outbound references displayed

  • verified exact2
  • verified fuzzy16
  • unresolved79
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3bb0400d-93ad-4eea-bfd1-81d0af3deba0 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.712071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.712071Z digest=sha256:aea6e2f0e529d7d2ce0f12d76e80c7705da3801c97f77cbfabb96fc3b932ba89

Observation 914a9ace-e805-4918-955b-4cdcaa13f90c · outbound

This paper cites Bulten, K.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Bulten, K

Reference 2

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unresolved
no resolver link, observed 2026-08-15T22:39:45.719688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.719688Z digest=sha256:eca9e0949278a80a9a2fca929ca83d117632dd1e27c8609e3dad3cc6e7ebdf3a

Observation 66d389f8-e0e8-470a-8b8f-6e6aa72814a6 · outbound

This paper cites Huang, F.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Huang, F

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.725164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.725164Z digest=sha256:7587617c530346fc7d6ef77347044c6b61de43353d8e87b382554da608643c8f

Observation 0a732c0e-0fbd-491f-9622-c07ce76d17bf · outbound

This paper cites Coudray, P.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Coudray, P

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.730842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.730842Z digest=sha256:64e422d50e2e78474e41c2a3d26dbdf0c1a6fbb54b72b7669081e35ad3df61f0

Observation a1b59935-70ce-4b89-8432-7129547fd7c4 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.736637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.736637Z digest=sha256:c443c9cbf2684b3d7a4bb3be102dbbb58736cc0a2851e9d7ee33bb42a8f88a29

Observation 2b19b347-f908-460e-b327-30cc8600be3b · outbound

This paper cites Computational Pathology: A Survey Review and The Way Forward.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Computational Pathology: A Survey Review and The Way Forward

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:39:46.682873Z

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=2026-08-15T22:39:45.742738Z digest=sha256:c07bdb0fd5cd5451da41590bd8c38139103917bf31b5acceac9d0ef8be0dfd43

Observation 7cbf8d0d-32d8-4610-b642-6e2db7c5ee26 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.749232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.749232Z digest=sha256:2e95c6169d84d277b7beb4e71452e32a147a66275e8e0824d539a026c5c53b66

Observation 6f74b931-177d-48fe-9ed3-57dcd35ecd45 · outbound

This paper cites Tellez, G.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Tellez, G

Reference 8

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unresolved
no resolver link, observed 2026-08-15T22:39:45.755210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.755210Z digest=sha256:1fddebfb01bd347ffcb8f66c1d689c7f17373d539561f5bae59d3def33a57c92

Observation 7dbbcd5b-fe6e-4944-abfb-aa281852beaf · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.761396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.761396Z digest=sha256:f458bfad29122178b22c77a82eb205f757bb47399e3678878613115358a6ae68

Observation 609c88da-7c99-4811-a9e2-3f014fc7511a · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.768080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.768080Z digest=sha256:781bccd2cc07fd432889beac8ba28f35f388189a52a34283d0a20080fd2868ec

Observation 24d706fe-ab9c-418b-aed6-6a3861af636f · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.774389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.774389Z digest=sha256:129a52330ed3e1031bf58e866080541e8aa2060f27df9d2341e18caa08038e5c

Observation 45846ebd-7b87-4f15-aee0-5f3500307f1e · outbound

This paper cites Zhang, Y.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Zhang, Y

Reference 12

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unresolved
no resolver link, observed 2026-08-15T22:39:45.782578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.782578Z digest=sha256:4b7c6f7104b350f5b5705739912249554eeec1311ae76e66ecda1c4c5e889723

Observation 2677e9c3-924d-4d19-ab02-003cdf36d4c0 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.789508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.789508Z digest=sha256:ac5e5a5e29d970d14f952c13c7f29782edb1be537275459b42380fd70c0c6b7b

Observation 4782fb24-e0a1-465c-ad9b-b494a21664a8 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.795462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.795462Z digest=sha256:a05fe1e89b1d3c436828c8ce9cca0b6a87be6d56064a278e2b40f4342d53872e

Observation c35536c2-876b-4cb4-9156-265fd756a10a · outbound

This paper cites A General-Purpose Self-Supervised Model for Computational Pathology.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images A General-Purpose Self-Supervised Model for Computational Pathology

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.800957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.800957Z digest=sha256:59f15e0dac3b8a3d9d00c924914566188cc92e0f6f5a84db37f9507d91136e9a

Observation 9962ff6e-1d3b-4e84-85ad-d255d5cdb2ab · outbound

This paper cites Sharma, A.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Sharma, A

Reference 16

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unresolved
no resolver link, observed 2026-08-15T22:39:45.807834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.807834Z digest=sha256:6daa90ae0b59ec1f932e7193c4d09a072ee370613bd4544f189a4341bbf21fbf

Observation 61219951-2cfc-46c7-b633-c24f9d1a3c30 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.813593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.813593Z digest=sha256:447fa6ea71f4a75f17e55eca40a66a33c29c75c28e0ebabbcb22ea0ff0800e66

Observation 61820cb3-1d8c-458a-bebe-f68dcb0d6e92 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.819819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.819819Z digest=sha256:6555f05766c1b3d6627432e34b3858feaa668dd63fa8981816f6f446af5dd10e

Observation 85652e56-dba6-43fe-839b-02dffecf4c3c · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.825156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.825156Z digest=sha256:a11c02d967c2211515d43415f9b0f628f6f8625a53c5ed644a42fe6570cfee69

Observation 1eac99e0-bcec-4eca-aed3-82ec7d75f751 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.950977Z

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=2026-08-15T22:39:45.830060Z digest=sha256:79fdb1accdad21a008e637ffba7b0f8ce233fb368a6824f08fdffbe103b81b5f

Observation ee718342-9ac9-4c4c-849a-62b1f3f64154 · outbound

This paper cites Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification

Reference 21

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unresolved
no resolver link, observed 2026-08-15T22:39:45.836034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.836034Z digest=sha256:9b2671ade917ccab1238d1fa0cadd1883e2b368a21ece4700f569e75f84d3848

Observation ddda3e41-27bd-44fc-a3cf-19d88d71c340 · outbound

This paper cites Cheplygina, L.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Cheplygina, L

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:39:47.934391Z

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=2026-08-15T22:39:45.841484Z digest=sha256:c1ee47e0756e8d7431ba6d9a886facbcecf84d432abd4d65fe1753350b7ed7ab

Observation 53feb066-4cd0-4a79-9e53-6f8e72c90982 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.915820Z

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=2026-08-15T22:39:45.846262Z digest=sha256:96abeb1ce83c0d550b95decae5daf5e41c9ee2be09df832d270c43d65a04de45

Observation dbbfec78-f012-4dfb-a4ff-3d162242cf4e · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.898424Z

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 0fa1ac17-9409-4b1f-9f2c-c8f9c14190c1 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.879283Z

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=2026-08-15T22:39:45.856948Z digest=sha256:f36df6bcb47eaab119c906d449f56e36c684601e4a74c3b26c31b2ec6e4cb7fb

Observation f93e4315-b254-4ce9-b43e-43e0de1f6145 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.861188Z

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=2026-08-15T22:39:45.863642Z digest=sha256:f5e5c9b68d17b501dd0d35081b7abdbe6eafb2cffa1fe96bde08f2270d01d5ee

Observation f837bab7-14ce-416c-8ed5-38ac83f8b7cd · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.844977Z

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=2026-08-15T22:39:45.873644Z digest=sha256:caf17c5ff979c44ba647efe8ee4717acab66ed5a3a5a41d50dd0833671141f32

Observation 41c0adb4-b6dd-4709-9525-a45e46502532 · outbound

This paper cites Campanella, M.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Campanella, M

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:39:47.827957Z

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=2026-08-15T22:39:45.879032Z digest=sha256:8eef44291363d8b3d0bb9ff444689d30cbfe65011f084537f6965a9257c933ed

Observation e32698a5-a422-471c-8a00-e6186fc014f0 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.806662Z

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 53bd54ee-6bad-4d57-b29e-071055fda275 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.785839Z

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=2026-08-15T22:39:45.896893Z digest=sha256:51d45dc722488cfcacbb56cb36242dbf28cb798a49395834f26e4adb1b2a32c7

Observation f3ca1413-3cd9-4727-af9e-7aefcf0a9a8f · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.766321Z

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=2026-08-15T22:39:45.906446Z digest=sha256:a8cc4a812a0fa67c77d3c06308e5facfe6a54e078839043a25da8fe8961eb700

Observation 2ed0f4f3-ca9f-4126-bbeb-cb8c72afe366 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.747900Z

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=2026-08-15T22:39:45.913521Z digest=sha256:c313a6626cdd49a4cca8474efe88bee69f9af1a97e36ddb2d375d12b3150ec2a

Observation f45a2814-2759-4529-b4ae-8ed9a2061707 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.725956Z

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=2026-08-15T22:39:45.919780Z digest=sha256:6d9100070c2144c34bd0ad9cbcbcdb6ff51d50bd01d35e1824717501a25ec24f

Observation e5b21a98-f353-43c4-b647-dcfd25cc9f7a · outbound

This paper cites Chikontwe, M.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Chikontwe, M

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:39:47.701353Z

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=2026-08-15T22:39:45.925430Z digest=sha256:43a4100945bd0913a9a083ec9e9f31b1ebb325a6bebd75d62353c2cf2cb5b972

Observation c18f59e1-82ca-41f7-ab53-ce99e4d410a2 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.676075Z

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=2026-08-15T22:39:45.931345Z digest=sha256:b44f89fe0c41258a62a32ddf44c12fce9de1c349fb9c9bf830c7c803b0050be5

Observation f4e8e4c1-d734-41f2-aba3-abee4e9ca8f0 · outbound

This paper cites He, J.-N.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images He, J.-N

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:39:47.653654Z

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=2026-08-15T22:39:45.937902Z digest=sha256:5cea79f7e5bc9243f4a712aad8a1f40d0e19a48c033a9612a0b97f22cf31e293

Observation b53d8daa-a181-47de-99bb-44cbe2ac3931 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.635751Z

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=2026-08-15T22:39:45.943199Z digest=sha256:9ad76db4c955bee9f9f140057b25240f2666ecc3985552b4fa6d1a6fdc3835c0

Observation 2d7ac4e3-5f4e-4b05-ab66-55a836b53689 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.948232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.948232Z digest=sha256:647d7c974970ea2f1b1f9eceef235a4c1c59caa961ea27abaf875efe6119b9fb

Observation f60e82a7-0e19-4cb6-89bc-dd9848b415ed · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.594610Z

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=2026-08-15T22:39:45.954209Z digest=sha256:7995de0dfec1cbace79670e4093092948518adb50228e9b8b50b613496995cf0

Observation 3d71d708-e422-4b65-ad28-3738f890e9da · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.959670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.959670Z digest=sha256:65ac601b5ea1a026825c0a2ab6f7592a1e748c78f8cf28532f26de19edfaaf9d

Observation 36a96fda-0cb9-4718-ae72-5bbbeb405fcb · outbound

This paper cites ImageNet-21K Pretraining for the Masses.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images ImageNet-21K Pretraining for the Masses

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.964837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.964837Z digest=sha256:4f9753a8f46e2b9ce9c6680e120d8aa8419a013121ff1d604e042a96b7be069c

Observation 721798db-87d7-40e9-8ab1-27ee4195f63f · outbound

This paper cites The Kinetics Human Action Video Dataset.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images The Kinetics Human Action Video Dataset

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.972627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.972627Z digest=sha256:dc1586230cf7cac1b373c69310150ad368e0dc9cf06083cac8e5e33c2c95b924

Observation 655306ef-a624-4af2-8e4b-c03fd72a5af9 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Improved Baselines with Momentum Contrastive Learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.980801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.980801Z digest=sha256:8f297527968452bca852291fa2903025c1bd0a83a5d6f9f6328645f255a37c44

Observation db9fcf30-01d2-4051-9758-89523f2a7958 · outbound

This paper cites Caron, I.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Caron, I

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:39:47.559018Z

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=2026-08-15T22:39:45.986683Z digest=sha256:fad33749ec8aa2bc1b4fa475146b4ba1d21eda0b9b801ba0f4ddf791094d5348

Observation 262e2f99-6164-4749-a2d3-51ff1500567e · outbound

This paper cites Caron, H.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Caron, H

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:39:47.539886Z

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=2026-08-15T22:39:45.991794Z digest=sha256:6f4baff96cb882f8ab397ad36b578878331ec931ab3dda449557497065c9245e

Observation 96c7cd3b-dff7-4ba0-b16a-c91b99d61e24 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images DINOv2: Learning Robust Visual Features without Supervision

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:45.997991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:45.997991Z digest=sha256:e6356c4bc8bcd23d94ca498ffda4f9895fa83b12536374c5446152e920e112a4

Observation bc1daa25-e46f-4734-b136-5e77e68c4810 · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images BEiT: BERT Pre-Training of Image Transformers

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:46.006636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:46.006636Z digest=sha256:86fe45d75c33721172fe7e64c58be53028ff0e6b0dbd52d1b5fe7b13d907556d

Observation a1e25955-1c02-4ae9-bb82-7861762884e5 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.514029Z

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=2026-08-15T22:39:46.013936Z digest=sha256:c5c755d9f16d611df4a62f46d9228802514e688a7aa169ad2cdec0978852f544

Observation 281372a6-25d6-49c6-9a43-2a2f494bbf4e · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.487045Z

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=2026-08-15T22:39:46.019754Z digest=sha256:203457653afeb3859dd7c1a4b6e1f463bb35399020118ef7751b3eb525d48f47

Observation fcfab220-bdcc-4bf5-8dbb-611b9851a5fa · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.466523Z

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=2026-08-15T22:39:46.025217Z digest=sha256:dbbc1600539374e26dbd29f911058586b0edbf57a9ef47090f0adf02723e5fb3

Observation 58153060-4dd8-447f-bf9b-bc1d1af72634 · outbound

This paper cites Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:46.031491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:46.031491Z digest=sha256:225b74838c59c0773c9dd1f7ab3b650e7a6a48b0240f62a3450c8755ba6552a0

Observation 9edc7f6b-feb3-4c48-bf43-6f1b8dc5c9cc · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.443326Z

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=2026-08-15T22:39:46.037382Z digest=sha256:77e35f663c987c634c2e67cbcc41a78f43060dadde56482ba0d064eae53c8616

Observation fb09c2b5-a6d7-479c-bc4e-e1934ad76350 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.424013Z

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=2026-08-15T22:39:46.045889Z digest=sha256:a5687855278e04d65b3b553c04e03a5e96678c312823622748b38bdba3c719ea

Observation 4a4f9ef2-533d-404e-b703-c1ab49761b75 · outbound

This paper cites Virchow: A Million-Slide Digital Pathology Foundation Model.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Virchow: A Million-Slide Digital Pathology Foundation Model

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:46.052752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:46.052752Z digest=sha256:20f171721ea10acf7b1ec7c6e56164ab066ec422760918824d3dba8def8838b6

Observation cb3b49a3-6ca5-42a7-806f-b0167633bedb · outbound

This paper cites Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:46.058466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:46.058466Z digest=sha256:ce0807c2469a4f84c32b514fc6030eaf7c599d75e471f5ed532f564579f3352e

Observation f8fb0e8f-04c0-4309-aada-3e06755c45ea · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.393814Z

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=2026-08-15T22:39:46.064798Z digest=sha256:0adc0921d581a6b6b0140c78e88a9dde6da9f8bf84ec9b999304b4feae28ecf2

Observation a875fba2-0a24-4980-a03d-2ee830f31fd2 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.366517Z

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=2026-08-15T22:39:46.070041Z digest=sha256:472d4b46961a4a3975de5bc2f81d10dfac7d22563796c9c8c273a2065b387e13

Observation efba9e90-a694-4a33-97bc-c9f94fc76e9e · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.333473Z

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=2026-08-15T22:39:46.075886Z digest=sha256:71c629256e59f2a506233f2e14af9af2f16e16d4b6de3c82d61626eb273be02f

Observation 0decfd83-75b5-4165-b60d-ea809bad0660 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.309814Z

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=2026-08-15T22:39:46.082753Z digest=sha256:1426451e1b772f752da4f46b7615099a0e6584a033342372bd778f9502ea039f

Observation e6d1a7c8-040a-4c88-b12b-3bf2e7dfac66 · outbound

This paper cites Abbet, I.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Abbet, I

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:39:47.286060Z

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=2026-08-15T22:39:46.088380Z digest=sha256:7181c9ef1a1cf264f448f8f72429007b90f9417c3ce9fbb042673e0c8541a8cb

Observation 25011526-1d68-417e-9c19-d625e68a4983 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.265388Z

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=2026-08-15T22:39:46.093973Z digest=sha256:f727d4e09b40305569a009ab3f47f5b84d76931677075fece9ed79945cf1e07f

Observation 15766572-388d-40de-8d08-6c62dbe60982 · outbound

This paper cites Singh, L.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Singh, L

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:39:47.242597Z

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=2026-08-15T22:39:46.105268Z digest=sha256:1b2770da6d45dcd7dbbb45e335b5fcf2abbc6338312e4f96fcda5a43fb73add4

Observation a1116c3e-6cc8-4b21-920e-4c0a45de5461 · outbound

This paper cites Radford, J.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Radford, J

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:39:47.220953Z

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=2026-08-15T22:39:46.111416Z digest=sha256:e735a3a47366478de49efcff734bf6edc9b7cd0fad4dbcb6967f07f6db763d99

Observation 310c8742-ef93-46e1-b81e-1d58cd621109 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:46.116606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:46.116606Z digest=sha256:18e9cf3c8347db3de7ea342aa5f47ac3fb272dcafd26d0a65f1093c70b787b8a

Observation 4709e26b-8672-49b8-a77c-127098466aad · outbound

This paper cites Quilt-1M: One Million Image-Text Pairs for Histopathology.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Quilt-1M: One Million Image-Text Pairs for Histopathology

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:46.122091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:46.122091Z digest=sha256:8d6283d17dda40033773835732d3466ec673038ab992c4de9af3cc3ab312ca8b

Observation a2655f62-47c7-4b3e-a44e-9271ba256638 · outbound

This paper cites Towards a Visual-Language Foundation Model for Computational Pathology.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Towards a Visual-Language Foundation Model for Computational Pathology

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:46.128807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:46.128807Z digest=sha256:e2fda35347709a9363e4967136252515cfb7fe34f1c69e1061f8f9e947599a53

Observation 05375c27-d2e2-478e-8d82-47629ebb29b4 · outbound

This paper cites Jaiswal, A.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Jaiswal, A

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:46.134120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:46.134120Z digest=sha256:a39acd4b4399c099ab1d76bad5661da91507dce83d57b35462ba4920a8467e34

Observation 7f66c77d-1e3f-4d0d-b768-888b122d5e54 · outbound

This paper cites Unsupervised Representation Learning by Predicting Image Rotations.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unsupervised Representation Learning by Predicting Image Rotations

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:46.139844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:46.139844Z digest=sha256:785b1f2ee60e43db0564f2d414924d3911945eb75929eb43d4c8007c19e9aa83

Observation d1d2134a-1b9e-4d95-87e6-251eea087ede · outbound

This paper cites Zhang, P.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Zhang, P

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:39:47.161856Z

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=2026-08-15T22:39:46.145064Z digest=sha256:7d88619ffbeee96b4866aa37085ec7668eb909836103f21d3a4d4481d1a745a7

Observation a3040d59-79af-4aaf-912d-20a131680ca5 · outbound

This paper cites Doersch, A.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Doersch, A

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:39:47.142162Z

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=2026-08-15T22:39:46.149982Z digest=sha256:d453ac3d05dafa2ef5257bbb7ceeb5190bc0f61ce50e8629750b8109f9db5d10

Observation 5884d48c-d9be-486d-ad6a-3742e0a9917d · outbound

This paper cites Pathak, P.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Pathak, P

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:39:47.122140Z

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=2026-08-15T22:39:46.156017Z digest=sha256:0e878e2cda709291d6e7d97c394f8d9119f8148f3fee1733381352a02d4ebb59

Observation d60e0130-568e-45b1-9ae0-09a678750364 · outbound

This paper cites Noroozi, P.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Noroozi, P

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:39:47.091232Z

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=2026-08-15T22:39:46.161894Z digest=sha256:64508dc06f3c8ea547aab24422ac8791a561810e8297116b402e20cbee188a90

Observation 9b5705b7-dc28-402d-9af0-986aa3c241fb · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:46.167913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:46.167913Z digest=sha256:37c35b8f8ddcb882e037f22cc18988ba75e0eebcff7a1b195d5077ee864926c1

Observation aac0d7ca-5e14-4ac8-be3e-5c53ad2a625d · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.056255Z

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=2026-08-15T22:39:46.173902Z digest=sha256:c7714c9beb6b16473ff3fdae3b336d35ef21c469b818561a0ea418b2287f3f54

Observation daf17c8d-9495-420d-9d87-08467a2f9ec3 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.038082Z

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=2026-08-15T22:39:46.179999Z digest=sha256:536c069198de1fdb5268e914934d973ed7f73dd47a3caaf2c81ae97f55bb7117

Observation 91c3076a-24fb-45fd-b3db-07a5ca285bea · outbound

This paper cites UniVIP: A Unified Framework for Self-Supervised Visual Pre-training.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images UniVIP: A Unified Framework for Self-Supervised Visual Pre-training

Reference 77

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:39:46.396808Z

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=2026-08-15T22:39:46.185259Z digest=sha256:909c4ead89341e1ccf6c4cab7ae843ab4f65eed2238a7f84d7bc15aca7764b06

Observation 1a8e2775-b377-4449-93c0-c8fb56d78724 · outbound

This paper cites Kuang, Y.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Kuang, Y

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:39:47.020532Z

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=2026-08-15T22:39:46.191279Z digest=sha256:e156a525472414a29857d57fcb0c9dc20e1dacf8174893c2f089f258b191b1a3

Observation b6a62e9f-3c5d-492d-a08f-4f426a1e9f42 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:47.000784Z

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=2026-08-15T22:39:46.197382Z digest=sha256:4698b062355de112f5a09041e414a87882e628a29126453c77c723a707bc5dce

Observation 4fcd0614-9e40-487e-b324-5b35f99e9693 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:46.980005Z

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=2026-08-15T22:39:46.203554Z digest=sha256:71074ac02a159bffc2bb46f5183d7800248d73b6f26cd33a72f92c0332beeb20

Observation 3ccc897f-3c85-4a66-a1b7-810a68ad5ce6 · outbound

This paper cites Shorten, T.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Shorten, T

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:46.208668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:46.208668Z digest=sha256:d8275f281d9059b9249c3ab4b4402ba87d1dd4cb8f725dee0e23529d60961e83

Observation 4a3ab5a5-b2f9-425a-9faa-4dad598a471c · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:46.949562Z

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=2026-08-15T22:39:46.213632Z digest=sha256:09121c09ffe4e0dd5ccf3df65f19360e7eb083859fcb45ad37a79e9cae41be0b

Observation 6c242d8b-f7ad-4558-ab87-3ed3741c58f0 · outbound

This paper cites Grill, F.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Grill, F

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:39:46.932825Z

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=2026-08-15T22:39:46.219033Z digest=sha256:a716cf7d44434dd0e56fd3f3849320b30a2111ac8a15ec3919a2f00f5f5b6ba8

Observation e4c841cd-db33-49c7-b2ef-8557d305e998 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:46.223865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:46.223865Z digest=sha256:11e40744b1ab28297b98b2171faa2dc531b6db329615346643c2d8460b74930d

Observation ae1f533c-c441-4832-a718-3dc6d1e1cc15 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:46.901674Z

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=2026-08-15T22:39:46.229006Z digest=sha256:b1a626670511b3e010b6c52bf3d21c7c8d14b751726f83196a1fc250f8bd6581

Observation 9248da4d-ec8b-4d24-9579-d5dbeea40218 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:46.879881Z

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=2026-08-15T22:39:46.235170Z digest=sha256:e2a745c6d1a01208a33ba2eb86d8e03915e1969d3d849306365880b41b7ecf1c

Observation c6887ac6-d103-449c-b386-4237a59d796b · outbound

This paper cites Learning to rank for censored survival data.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Learning to rank for censored survival data

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:46.240493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:46.240493Z digest=sha256:dd74a5a85a5c631d0bfd3a67e970ff4617e4c412b4041ef8436b71e17b7d227b

Observation 92706e5b-b3d8-46d6-a611-b08cdcea6f0f · outbound

This paper cites The effectiveness of MAE pre-pretraining for billion-scale pretraining.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images The effectiveness of MAE pre-pretraining for billion-scale pretraining

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:46.245652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:46.245652Z digest=sha256:3615cd194b8b5a0b6a72b880e8d234c4a8e183a0e49a37a96897c8318d5adaf1

Observation 71d5c9f7-477a-4f25-ab11-275e58487932 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:46.862193Z

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=2026-08-15T22:39:46.250600Z digest=sha256:5a1549972242c9b59e399272834fec8284fba9b723478d68eac6c9dfd2d30de7

Observation a20e1b29-09f0-47ab-a4be-7c7670035c09 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:46.844723Z

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=2026-08-15T22:39:46.257776Z digest=sha256:1e7622a8b9e1b0e5022c649359eb898dffdc6c862ef47506efc9a4e222d26225

Observation 710c53d9-bdbf-4957-a6de-fc94c975d2c8 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:46.827518Z

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=2026-08-15T22:39:46.263624Z digest=sha256:a0675abbb3cf55ff9a80a8f9da39757e06a47e19be69e32f95900b2c0fe9f681

Observation c985cab8-7ed4-4fda-b2a6-a3577847b8cf · outbound

This paper cites Cherti, R.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Cherti, R

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:39:46.807887Z

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=2026-08-15T22:39:46.269558Z digest=sha256:f73ee879bd276f13d36f2a9e832ae1f7974409b53df34e5db6430a63ef8cd0ba

Observation ae5bb7ae-7b92-4d49-80f8-1019286e9541 · outbound

This paper cites Van der Maaten, G.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Van der Maaten, G

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:46.275358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:46.275358Z digest=sha256:a26d093bae24b4c8acd97defef89c78f09e8c73f192c9447a2ee5423d28c48ff

Observation d0b9ad2f-5d9d-49dd-bcce-44031a74418a · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:46.776708Z

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=2026-08-15T22:39:46.282037Z digest=sha256:524aefa197629a4edf568136dbfed79d65ce7878c185ebeb02381ecd62600542

Observation 3860ed8d-4be4-481d-816c-f3f3b32ea1c3 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:46.758205Z

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=2026-08-15T22:39:46.287903Z digest=sha256:2d6d7a1cd2d0f01fc4da95c68891e09b34e41ff42fe9babb32802e46fa27654f

Observation 5942f7c9-3fda-48da-bdd3-a31924073cd4 · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:46.739699Z

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=2026-08-15T22:39:46.295773Z digest=sha256:c897c0a3813eb84125aff149714823caf8bb5fc53ed789d06b8e07879c976b35

Observation 12b0b164-ec38-47b5-b0dd-e1fbd9b00f8b · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:46.720694Z

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=2026-08-15T22:39:46.301422Z digest=sha256:07b094da560452d200e1619f60f7550bfc75803aa162b65232a7a3fdb2b2df88

Observation e95aa32a-1565-4aa1-8072-9658e1d7713e · outbound

This paper cites an unresolved cited work.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work

Reference 98

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:39:46.703589Z

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=2026-08-15T22:39:46.307532Z digest=sha256:50d082c96c9f67fb0ccfe420d88d7692c129583e9e909f8b1081e9483cc8988f

Pith citing papers

No inbound Pith citation observations are available.