Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T15:25:46.494138Z
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2604.12100.
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 2026-05-10T15:25:46.494138Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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
27 of 27 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f6f4b2b6-401a-4370-b798-490443cd61c1 · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning The Lancet Oncology21(2), 233–241 (2020)
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 38fc9576-b9f9-49d9-a296-5ca3c003632d · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Nature medicine25(8), 1301–1309 (2019)
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aa9783cb-107c-4674-9001-cd752caec946 · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Pattern recognition 77, 329–353 (2018)
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 471970bd-e7ec-4c63-9159-c2ef2ad55c1f · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning American Association for the Advancement of Science (2020)
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 200f5067-61ea-4055-acda-6f41fbbce15b · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Nature medicine30(3), 850–862 (2024)
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eaa80ebc-43ee-4c0e-bb0a-df9910b3317e · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Communications Medicine4(1), 84 (2024)
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7ef92d8b-d954-4b7b-b4d8-cb43534ac1c6 · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning In: International conference on machine learning
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 68df49ce-9b82-400d-91e4-f80ec0ae0707 · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning In: Medical Imaging with Deep Learning (2024), https://openreview.net/forum?id=FNBQOPj18N
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 56ca0f38-26b6-493e-8e52-5bb9b0e73fe8 · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Training state-of-the-art pathology foundation models with orders of magnitude less data
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aaf6e1c6-27a3-4830-9934-46015034ee9d · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Scientific Reports14(1), 6780 (2024)
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1ab3ea2d-3729-4560-a739-27f36e36964b · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Journal of Cancer8(14), 2653 (2017)
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 73a9b801-202a-46eb-b72f-67b58cc75995 · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning In: Pro- ceedings of the IEEE/CVF conference on computer vision and pattern recognition
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1612ddf6-e2b3-480d-831b-21add5634e07 · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c73ad359-fd0d-4439-b4ce-2ce38e49d059 · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Nature medicine30(3), 863–874 (2024)
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d20943c1-9051-48cc-8422-0765d7863b23 · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Nature biomedical engineering5(6), 555–570 (2021)
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7dc04f6f-4c7c-49be-ac58-516fcf9ecf76 · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning European Urol- ogy Oncology5(6), 611–622 (2022)
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eaf23f0f-ce8b-46d5-aa65-52693c4ebd06 · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Medical image analysis50, 167–180 (2018)
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5bfeedab-f6d0-4944-a76a-a87bcb4ac68d · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Plos one16(2), e0245334 (2021)
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c01576a4-7624-48db-b505-b8a81475a87c · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Do Multiple Instance Learning Models Transfer?
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b06c1c92-c586-405f-903f-7b55718aab9e · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Advances in neural information processing systems34, 2136–2147 (2021)
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6b80bc69-72b2-491a-acb5-eecb93c75d2b · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning In: Pro- ceedings of the IEEE/CVF conference on computer vision and pattern recognition
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0aad9912-45e0-4e58-9731-583e8ffa2ff5 · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Medicina57(5), 503 (2021)
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 84cfe5c0-1bde-44df-a862-11423ffd7bb2 · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Na- ture medicine30(10), 2924–2935 (2024)
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 651d6fd7-d9b2-45fd-930c-a38032cebe73 · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning In: The Eleventh International Conference on Learning Representations (2023)
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0c66e5db-55db-4241-b201-bd9076f9766b · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Accelerating Data Processing and Benchmarking of AI Models for Pathology
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5c5f7be4-9a63-477f-925a-8ad2fd5cb371 · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ecac813e-409d-4e30-8b2b-e560a1ec4928 · outbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning https://doi.org/10.7937/K9/TCIA.2016.YXOGLM4Y, https://doi.org/10.7937/K9/TCIA.2016.YXOGLM4Y
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
No inbound Pith citation observations are available.