Paper Citation Record · LEDGER

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.05533.

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

pith.paper-citation-record.v1
2607.05533 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T06:13:30.088916Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

28 of 28 outbound references displayed

verified exact10
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9288e3b6-c9a2-48ef-8059-775da55ad6fb · outbound

This paper cites L., Soerjomataram, I., Jemal, A.: Global cancer statistics 2022: GLOBOCAN estimat es of incidence and mortality worldwide for 36 cancers in 185 countries.

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models L., Soerjomataram, I., Jemal, A.: Global cancer statistics 2022: GLOBOCAN estimat es of incidence and mortality worldwide for 36 cancers in 185 countries

Reference 1

Resolution: verified exact; doi, observed 2026-07-11T06:17:50.893269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1e5593ca-f7f8-47b5-ac8a-87512a4fe4fb · outbound

This paper cites arXiv preprint arXiv :2602.14010 (2026).

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models arXiv preprint arXiv :2602.14010 (2026)

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-11T06:17:50.930549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2b2dc24b-a411-40c4-9c99-5f4478be2d88 · outbound

This paper cites Nature Medicine 30, 850–862 (2024).

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models Nature Medicine 30, 850–862 (2024)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

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Unavailable: canonical work link unavailable.

Observation 8884a15f-75a1-41e5-9924-70a4b95ae9d2 · outbound

This paper cites In: Proceedings of the IEEE/CVF Internation al Conference on Com- puter Vision (2021).

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models In: Proceedings of the IEEE/CVF Internation al Conference on Com- puter Vision (2021)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

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Unavailable: canonical work link unavailable.

Observation c56e0a3a-9de9-4512-b952-834ce1b3cef5 · outbound

This paper cites EBioMedicine 107, 105276 (2024).

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models EBioMedicine 107, 105276 (2024)

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-11T06:17:50.874583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e3197265-56dc-4fe9-9377-c24a98388fd8 · outbound

This paper cites Nature Protocols 20, 293–316 (2025).

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models Nature Protocols 20, 293–316 (2025)

Reference 6

Resolution: verified exact; doi, observed 2026-07-11T06:17:50.844817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 60b5eae7-300a-4c4a-81e9-455f7b693eea · outbound

This paper cites Cancer Discovery 3(10), 1108–1112 (2013).

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models Cancer Discovery 3(10), 1108–1112 (2013)

Reference 7

Resolution: verified exact; doi, observed 2026-07-11T06:17:50.833618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b51e9492-c658-48a9-8c32-3a973a16482b · outbound

This paper cites I n: Medical Im- age Computing and Computer Assisted Intervention – MICCAI 2 025.

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models I n: Medical Im- age Computing and Computer Assisted Intervention – MICCAI 2 025

Reference 8

Resolution: verified exact; doi, observed 2026-07-11T06:17:50.936697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb52f226-82b9-4799-825a-0b0dbed0aca8 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models Distilling the Knowledge in a Neural Network

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f7bf426-122f-46a5-919b-f095d4af4c10 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Co mputer Vision.

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models In: Proceedings of the IEEE/CVF International Conference on Co mputer Vision

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 805fe4ff-0fae-49eb-b094-a5929c38861d · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and P attern Recogni- tion (2025).

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and P attern Recogni- tion (2025)

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-11T06:17:50.905853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 99914d84-a6d8-45e5-b581-6033f0b277ca · outbound

This paper cites In : Advances in Neural Information Processing Systems.

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models In : Advances in Neural Information Processing Systems

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd3d4220-375c-444b-86e2-4a463398da5f · outbound

This paper cites Nature Biomedic al Engineering (2025).

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models Nature Biomedic al Engineering (2025)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

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Unavailable: canonical work link unavailable.

Observation 7cde4fd8-8b0a-476e-8a58-9bf27d9c4cec · outbound

This paper cites Huggi ng Face model card (2025), https://huggingface.co/MahmoodLab/UNI2-h.

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models Huggi ng Face model card (2025), https://huggingface.co/MahmoodLab/UNI2-h

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14257b8e-242a-4158-98e1-dd9f675e2699 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

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Unavailable: canonical work link unavailable.

Observation e544cd3d-ed4e-466e-9c07-3ac4b20eb2f5 · outbound

This paper cites Nature Biomedical Engi neering 10, 1113–1123 (2026).

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models Nature Biomedical Engi neering 10, 1113–1123 (2026)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

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Unavailable: canonical work link unavailable.

Observation 1e75d8d2-1c18-4df9-95c1-9b5d18d370e8 · outbound

This paper cites https://doi.org/10.48550/arXiv.2502.

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models https://doi.org/10.48550/arXiv.2502

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeb8c8c4-35f0-46b6-a642-4e1d49583c25 · outbound

This paper cites an unresolved cited work.

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb9e0744-5c73-455d-96c5-f4b32e08a3f7 · outbound

This paper cites Model release (202 4), https://github.com/bioptimus/releases/tree/main/models/h-optimus/v0 MuCoDi for Edge-Eﬃcient Pathology Foundation Models 11.

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models Model release (202 4), https://github.com/bioptimus/releases/tree/main/models/h-optimus/v0 MuCoDi for Edge-Eﬃcient Pathology Foundation Models 11

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

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Observation 1e017ff4-80e0-4509-8192-3cd43d347808 · outbound

This paper cites In: Proceedings of the American Association for Cancer Researc h Annual Meeting 2026; Part 2 (Late-Breaking, Clinical Trial, and Invited Ab stracts).

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models In: Proceedings of the American Association for Cancer Researc h Annual Meeting 2026; Part 2 (Late-Breaking, Clinical Trial, and Invited Ab stracts)

Reference 20

Resolution: verified exact; doi, observed 2026-07-11T06:17:50.911811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c722cd2c-8145-4c79-aee4-7bcd345eb623 · outbound

This paper cites In: International Conference on Learning Representa tions (2020), https://openreview.net/forum?id=SkgpBJrtvS.

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models In: International Conference on Learning Representa tions (2020), https://openreview.net/forum?id=SkgpBJrtvS

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35194967-a12b-4323-a1a7-1164c6aab032 · outbound

This paper cites : MobileOne: An improved one millisecond mobile backbone.

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models : MobileOne: An improved one millisecond mobile backbone

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

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Unavailable: canonical work link unavailable.

Observation 653a3fe2-767f-4c21-8bd5-ae746599f286 · outbound

This paper cites Nature Medicine 30, 2924–2935 (2024).

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models Nature Medicine 30, 2924–2935 (2024)

Reference 23

Resolution: malformed identifier; no resolver link, observed 2026-07-11T06:13:30.088916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eda5b610-e77e-4b53-8098-2206032f41d1 · outbound

This paper cites Diagnostic Pathology 19, 163 (2024).

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models Diagnostic Pathology 19, 163 (2024)

Reference 24

Resolution: verified exact; doi, observed 2026-07-11T06:17:50.852592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f69c6be-ef54-4710-b41c-feeb937692d3 · outbound

This paper cites In: Proceedings of the IEEE/CVF Confe rence on Computer Vision and Pattern Recognition.

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models In: Proceedings of the IEEE/CVF Confe rence on Computer Vision and Pattern Recognition

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

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Observation 2307dc1a-e483-4944-83ff-070b39fcf017 · outbound

This paper cites R.M., Ozenberger, B.A., Ellrott, K., Shmulevich, I., et al.: The cancer genome atlas pan-cancer analysis project.

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models R.M., Ozenberger, B.A., Ellrott, K., Shmulevich, I., et al.: The cancer genome atlas pan-cancer analysis project

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

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Observation 528a7b61-3170-4063-a2f4-8563708f6bec · outbound

This paper cites Nature 630, 181–188 (2024).

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models Nature 630, 181–188 (2024)

Reference 27

Resolution: verified exact; doi, observed 2026-07-11T06:17:50.860793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 078a6fb5-11c0-4d2c-b5ef-18887d432f4e · outbound

This paper cites Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology.

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-11T06:13:30.088916Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.