Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:39:46.307532Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:39:46.307532Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
97 of 97 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
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Observation 0a732c0e-0fbd-491f-9622-c07ce76d17bf · outbound
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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
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
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Source-reported events for the cited work
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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
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Source-reported events for the cited work
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Observation 9962ff6e-1d3b-4e84-85ad-d255d5cdb2ab · outbound
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Observation 61219951-2cfc-46c7-b633-c24f9d1a3c30 · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 17
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Observation 61820cb3-1d8c-458a-bebe-f68dcb0d6e92 · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 18
Source-reported events for the cited work
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Observation 85652e56-dba6-43fe-839b-02dffecf4c3c · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 19
Source-reported events for the cited work
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Observation 1eac99e0-bcec-4eca-aed3-82ec7d75f751 · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
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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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Observation ddda3e41-27bd-44fc-a3cf-19d88d71c340 · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Cheplygina, L
Reference 22
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Observation 53feb066-4cd0-4a79-9e53-6f8e72c90982 · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 23
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Observation dbbfec78-f012-4dfb-a4ff-3d162242cf4e · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 24
Source-reported events for the cited work
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
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Observation 41c0adb4-b6dd-4709-9525-a45e46502532 · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Campanella, M
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Observation e32698a5-a422-471c-8a00-e6186fc014f0 · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 29
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Observation 53bd54ee-6bad-4d57-b29e-071055fda275 · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 30
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
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Observation 2ed0f4f3-ca9f-4126-bbeb-cb8c72afe366 · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 32
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Observation f45a2814-2759-4529-b4ae-8ed9a2061707 · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
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Observation e5b21a98-f353-43c4-b647-dcfd25cc9f7a · outbound
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
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Observation b53d8daa-a181-47de-99bb-44cbe2ac3931 · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 38
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Observation f60e82a7-0e19-4cb6-89bc-dd9848b415ed · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 39
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Observation 3d71d708-e422-4b65-ad28-3738f890e9da · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 40
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Observation 36a96fda-0cb9-4718-ae72-5bbbeb405fcb · outbound
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Reference 41
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Observation 721798db-87d7-40e9-8ab1-27ee4195f63f · outbound
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
Source-reported events for the cited work
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Observation 655306ef-a624-4af2-8e4b-c03fd72a5af9 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db9fcf30-01d2-4051-9758-89523f2a7958 · outbound
Reference 44
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Observation 262e2f99-6164-4749-a2d3-51ff1500567e · outbound
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Reference 46
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 49
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 50
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 52
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 53
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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
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Reference 55
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 56
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 57
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 58
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 59
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 61
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Reference 63
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Reference 64
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SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 65
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Reference 66
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Reference 67
Source-reported events for the cited work
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Reference 68
Source-reported events for the cited work
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Reference 69
Source-reported events for the cited work
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Observation d1d2134a-1b9e-4d95-87e6-251eea087ede · outbound
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Observation 9b5705b7-dc28-402d-9af0-986aa3c241fb · outbound
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Reference 74
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Reference 75
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Reference 76
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Observation 91c3076a-24fb-45fd-b3db-07a5ca285bea · outbound
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Reference 77
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Observation 1a8e2775-b377-4449-93c0-c8fb56d78724 · outbound
Reference 78
Source-reported events for the cited work
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Observation b6a62e9f-3c5d-492d-a08f-4f426a1e9f42 · outbound
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Reference 79
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Observation 4fcd0614-9e40-487e-b324-5b35f99e9693 · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 80
Source-reported events for the cited work
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Observation 3ccc897f-3c85-4a66-a1b7-810a68ad5ce6 · outbound
Reference 81
Source-reported events for the cited work
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Observation 4a3ab5a5-b2f9-425a-9faa-4dad598a471c · outbound
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Reference 82
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Observation 6c242d8b-f7ad-4558-ab87-3ed3741c58f0 · outbound
Reference 83
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Observation e4c841cd-db33-49c7-b2ef-8557d305e998 · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 84
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Observation ae1f533c-c441-4832-a718-3dc6d1e1cc15 · outbound
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Unresolved cited work
Reference 85
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