Pith. sign in

Paper Citation Record · LEDGER

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

As of 19 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 2026-08-18T06:34:40.430872+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=sha256:0b6cf6de00e1d9bc2addb792029c7bbe92b1374257229b0310d0317c57641466

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

Resolution
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:aff7d63a2223fc0c89d11f294d89fe466071eb8cafbcd72f64ff234e180e249c

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=sha256:48ccef35df9960279d93a0d0c42a69445973c17c3a809f5ecb5b5a0a797eb26a

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=sha256:82ee89c76fa681c2979f9dfbb12aa639a13f94cd23937546a93cb69dcf6ca910

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=sha256:0c177a1312e889a483fb78ae25b11b919663f532e02b4753a4f79a2a79fafc74

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.742738Z digest=sha256:b4b79ba828532de6c6ae772c2a4e2e3b0f3b4e63f03c1cfc37acb9bc2dbc0e5a

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=sha256:208daa48e153e14a5d7a525954707b02176a667b1f83f8648578b17f3acd8111

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

Resolution
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:fb732576e0220323947970efc5ce034fcf1d6cd6d75f4df6b24893a8e4bb83dc

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:a6264f305cd40d989d758e21b5de58e9a6a608bd47c10edcc3d8ea17124f5b47

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=sha256:249ef8218de6403cd3029bef57c38b880294340f5d5702d6bc1193dd9a8611cd

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=sha256:66dc1c92bc5e2eac690487f9c6fb8a02d30a8b5f17dc1a30f6b13432db5f05af

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

Resolution
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:b2795d137350d1fe92b669c29052fa35e1154edbb874da1e57609138b9e04d6d

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:fe8bb7225c87af9b2f907cc263e3c9a3dfee96dcf1cdf770a275285a9fb32e9a

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=sha256:9e1b4cd9096d9492b07e2b5dcd6b8c8c075648b8896fcffffe6224697b970f8e

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=sha256:2d32138b1ef6e07435d3355a74ea60f7bbcc12891f49e5743c6d3fb94faff963

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

Resolution
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=sha256:4296c859069f930660264ee8e07f1a78a9c9bd7b821aa11520872f023aef85ff

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:a2b3cc7f1f7856b0609e7bbdfd754140ef7e13b6153ac1c2df91b1991eef1ea2

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=sha256:7eb55c0330caab241866ea378b6ec1e846281383777f69a7e26c652e2003e03e

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:c44811a0ca21e63da4293307fba45601e6eae9ad2af435613943ef11cb6b9d28

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.830060Z digest=sha256:45e0a9899d7e2d100167376ffba69e042bca5d9a634ce74451d5aacccf64d9b4

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

Resolution
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=sha256:293f3d145885c1943a2acada97e25f9a69f17ebf180ded66d1d2562f07497cf3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.841484Z digest=sha256:d8e7d3f4fbfb54b42558dd1c3583fc1ff37bc88b6f6b4bbb466ead9c1b90a7b8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.846262Z digest=sha256:c9cc8227ff994b7b1ab88e1979c97bc3fb8ca40616f9afff39c5be2aece7d7e2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.850952Z digest=sha256:a259a06ddb773b8427a25b4afbd2f273a4ebe758b7afb5f7a3a89b44459cf792

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.856948Z digest=sha256:eac3c02fb5165aad0e7532706706a1e90da0e726152405d209d9c1741898a83a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.863642Z digest=sha256:a9ec36bed7e4779879f56d03d8f5421a1ce97f17132a8a71e15993e333acada6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.873644Z digest=sha256:174cdd4bda1a2fa5732d0d52f235bd3f77ffb55f77be29b99eb034dd83522264

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.879032Z digest=sha256:1d1f314b60a576f2af4cbe1f5bd850cabdc2455b94391b41c9e9a6fa938c8e18

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.890139Z digest=sha256:1af678b30f15ab94f023fd3691450b868795a4e0e199ff72895a2ce1fecbcb2d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.896893Z digest=sha256:1d229d4ebdbc31b1e645124d8b7663fadca73d88dc88ec01501aae7165e845eb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.906446Z digest=sha256:71de4608d3b95ac72d285fe89cfdc5f18ced36fd9c3d68c1ba53f76441153982

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.913521Z digest=sha256:c5835eeff13ee5b22be20d50125cd52ec56d1eb4834eb17b30f4c9ff53f5d57b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.919780Z digest=sha256:e1288926d6d67a56f4dd3f6cbfce28e212194e68a1d3879bdc626efb9d09f0ea

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.925430Z digest=sha256:3d0f3cb609d553506168f90b11dbfbfc80ad25f9f0fe4e8fea3046e880150c03

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.931345Z digest=sha256:69514df74084aa8831539f8a1f489ac523d6a69cd7fef03153d8f18392a7c6cf

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.937902Z digest=sha256:90aa210fdfe1ed9c666441ef98cf813a6ce616a4a13414deaf8731424c75fba5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.943199Z digest=sha256:4d77d5b4e0a554e192bf72ae40764d266be187ac2d5efaf81bc1e35230864e57

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=sha256:0539f3b877550db0386daa6f9a74938aa2503d0ffd1dc272f3af086b3a4b899d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.954209Z digest=sha256:c64be0477b1a917ddebc306b9b1f8ab27ff01fc70efe6d62b241377a5e5bce9e

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=sha256:4a9efb7263dc5ff18e7589c32044fd7e2a64c958a06ebce3380fc45a2b4f8af0

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:a917804c600a8adbf6d1ef0f185cff480c43bb8ac4900a6a31367be00eb9a884

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=sha256:8582e55222d3b01af7c9f30fa8b26dfd12509f2fff1e0d16860dcf23f1bf31fc

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=sha256:81dab394679ef421059cfd469425225953410602907b071b2c9275277dc6e972

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.986683Z digest=sha256:0688396cfd93f8febcfc18a51e5426a304cc1bcccece1a274a20138bbf8202bd

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:45.991794Z digest=sha256:40b835ab0ec855ffa10417936a6e6ef84e937f388678f58e82843817a8b9f5e9

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=sha256:767b263d04fbde07e28db5a33d3350ceb0f3572b693f64a2ac306d801807dbc2

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=sha256:36af1814f57307e91e799243fb2e116c9b165ce33769eef87394c50ca34f0d85

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.013936Z digest=sha256:d68d6aed8366329e9a4c7dd97c80fde77e979b4792baa8faaabc543d157ff2ec

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.019754Z digest=sha256:6b1e25ec749a10008c1a90bdd59b2390dfe2a1a4302b4f2ab6c06d547f8f6a21

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.025217Z digest=sha256:51ed775f6c469d81ff7bbcf0a5798411e9728316afdc42a7b54231aaa3408f8d

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:bf89ed3e2dc33162a920fcce3dcf49a784d5503b92a8202e48b7ba6e8a7ab120

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.037382Z digest=sha256:1e7a48d7e337117aab0621adac6bb3ac5d7104e09069872be4f4b4238890dbb2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.045889Z digest=sha256:f001b09c3238ea40a7d3afc0f6f589d436bebed2a9b4f43af458c4a00323eb1e

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=sha256:3d6468aa7453cda92e99db8eb6f57c7e0b9df8f08615db96ab37a74ec8728ffd

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:e9ab20109f28372bf0b927d4c3286cef174e0aaf834e89359ff83f737f0220c2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.064798Z digest=sha256:0fae73505cc18945c1fbb0ec29c0d1568af72ee1ad19ac0781dad0f2f5a83071

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.070041Z digest=sha256:f8aa70f2d15757623fe13a0731df3a57d0be8f90b91d68654050789cd54369d7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.075886Z digest=sha256:874ffaab7c35b5447ecad82c795c0f13832c0acf12b9eb586c703fbead9fe721

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.082753Z digest=sha256:b97840359396a41950d1c68f303f3b982e087266c598a9480465c6ecf7f7ea13

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.088380Z digest=sha256:dcdf54a132a9f9008d614ec7a1af906cf03587ab3e0efd4c6d981fae88ac301e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.093973Z digest=sha256:83e9ec2926523bb24280481f74941a16d4edfdb143f326006fd673d6559895f8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.105268Z digest=sha256:4dfb6fb8688efdaf3c770b83f4741c5d78c3f75e60fb1690f32ff0085ae8a54f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.111416Z digest=sha256:79ae7072af1da6c6cd61f6294e9e6d9f047f6af42a074cbcbe443dea8f84692c

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=sha256:37e0dcb6cdd525207d973b5c0c46925d3aae5b687fcdd4d86e0dfbd7cf159529

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:fef6193657601c7b894fcd4b54a361a12f485e9c0215f5f3df94a959e35d392e

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=sha256:07340dcbbd8321d0c714581a4b421bcdbaf225f5bcc0358f435328ebe21635e1

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=sha256:8dd933579e15450958abaa0b016b43c9967304b718f3c401a168920bdc849089

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:d07e6ce339b528b70510397430d764cc53127321b54c51fc37f841ec14bac7a5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.145064Z digest=sha256:d86a80b8769e727cd436c25245eccd18c74b203d9c1a3fe7d4078f27f9037e34

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.149982Z digest=sha256:f87778b3710e6836a37693e2954b355851bfd36d302a462110454d786cec9e9d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.156017Z digest=sha256:51747137b7be0b3640f1134fd16ffb31c0877afa9583aa32a4bd3749cc25f3f0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.161894Z digest=sha256:ad1ef645a540306ac72ad7bae9344dca8ccd19707397ed64e54c6a445e2e79f1

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:dc1ded99707e9bf8c94259fa6032f139c4e7540ba69cc94e52a310d13ea82a55

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.173902Z digest=sha256:d622afa5a0551c2b57e98d809a50373c6100f2d69e1905303dca348d01c13561

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.179999Z digest=sha256:d01f931256513754ddaaf0dceedc9cc167d120b9df8a0f9da5a55e5cf8789904

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.185259Z digest=sha256:9ad2886c03c5edaf30ec36542e68d96afb846925b5fb1e8b427fbeb1bbdb30ab

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.191279Z digest=sha256:7a6f502f07e7112ce0ffc164bf1c45afa53155ebd4bf6dde2ad60f4e6ae48a5d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.197382Z digest=sha256:4ad9194088f5af21d4dbfc87c052fce6913c60d58b458b4cd6eb6da08996aac5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.203554Z digest=sha256:797220ab1e437a695bc1dcd7a240e660f3393ef9603908cace891e8ef6924567

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=sha256:4dc3c8c852d40bb0d62e91f5ea54ef1dbf160ce93a9b0dcc35f72662a46dffa1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.213632Z digest=sha256:8ae01b0f2ccf0820a9617c12bb639cdd917f83bc0f10264cce09280ae3b56474

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.219033Z digest=sha256:471f73be07c3a736eb874d09f0d01513f214b3c9c14fff69f946b68fc9127e83

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=sha256:3a5a4c9c6d3126339ada807759711f7dedb0649ea7b874ad1c349406223a537c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.229006Z digest=sha256:e3256a82dbb0811f2f9364a79d14fa957b060b402766f715899d053e55466fae

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.235170Z digest=sha256:c566e39076ba66b27c4709749a4c20cf86d4d64140b382bc248d3973a8ba2ca8

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=sha256:9e27b470c2289c5dd3999c74e414e203cfc9a45bf79f684aa1000f023ce5cf54

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=sha256:506f2cbf3935301601049599ac5c0ad0c1662267b4c71cea617aa347d2f72f8c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.250600Z digest=sha256:56a3777d9efbf107717f2b25c26394e61024b1ce93a0e271b65ca9f44d2a336c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.257776Z digest=sha256:b4da1024dc5e7894869877c9581dc270cae307827c7819f4828861039a13c0ee

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.263624Z digest=sha256:138949797c45d5a5cbeff21e75d570723223fbcef6bcb6f41528f25cc129ac9e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.269558Z digest=sha256:4c2731fde2564187816ad868f6c7233de23317bc1ff9b31a09e8e4ec80862703

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:eec2fad5a033ad0a829f840ba01ce99b05108050ae19480d80e325fe5e6f20a6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.282037Z digest=sha256:de08d4507fe0fb345bbddd54ff7a79def7ec984cd1300c5c8137e7630163e16d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.287903Z digest=sha256:fb53da06bb35a571ce0170829f05c51ef9484e1c31a867a04a2bcd30985c30f8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.295773Z digest=sha256:3bd59868dde07c22a98dfe969a92c7669ae356181962fa7222c64440a79192dc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.301422Z digest=sha256:e632ddf891e10b8d779ce3b48e74305e15bbd81092c3afc7073123c90d035401

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:39:46.307532Z digest=sha256:b63a7a571bdd4393ffc4c1d4367896b52dfb19345b41fcc457abfe0944954194

Pith citing papers

No inbound Pith citation observations are available.