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Paper Citation Record · LEDGER

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.18218.

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

pith.paper-citation-record.v1
2607.18218 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:40:56.336863Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

17 of 17 outbound references displayed

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  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1bf0831e-290c-4958-ac14-c1b4728596e2 · outbound

This paper cites Biomedical natural language processing in the era of large language models.Annual Review of Biomedical Data Science, 8(1):471–490, 2025.

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis Biomedical natural language processing in the era of large language models.Annual Review of Biomedical Data Science, 8(1):471–490, 2025

Reference 1

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malformed identifier
no resolver link, observed 2026-08-01T15:40:54.608091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:40:54.608091Z digest=sha256:0e2ee449bde227f4c8f054b6f86068b97021444b97c52ab2d87907c8916de3ec

Observation ae84be61-cfaa-433e-9d4f-866ec1921f76 · outbound

This paper cites Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, and Hoifung Poon.

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, and Hoifung Poon

Reference 2

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no resolver link, observed 2026-08-01T15:40:54.699842Z

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source=pdf_text observed=2026-08-01T15:40:54.699842Z digest=sha256:8d0739bb2e3afad08cec9aef15e2c85eaf627c3d823b6fbfa84bf310950cc1de

Observation 84a7d0f0-8dd5-4934-a34f-6b288775c42f · outbound

This paper cites Multimodal ai generates virtual population for tumor microenvironment modeling.Cell, 189(2):386–400, 2026.

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis Multimodal ai generates virtual population for tumor microenvironment modeling.Cell, 189(2):386–400, 2026

Reference 3

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no resolver link, observed 2026-08-01T15:40:54.839637Z

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source=pdf_text observed=2026-08-01T15:40:54.839637Z digest=sha256:b602e8416b12513982e0343598a174f83b294645d36b32b743376134632319a1

Observation cb0f6fc6-4060-45de-91d0-d89473ac5e10 · outbound

This paper cites LongNet: Scaling Transformers to 1,000,000,000 Tokens.

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis LongNet: Scaling Transformers to 1,000,000,000 Tokens

Reference 4

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source=pdf_text observed=2026-08-01T15:40:54.950485Z digest=sha256:2dbb22004675f953f0893887bd79bb87cef7e866af57b6dc458f605a9d78ce11

Observation c5524b4e-5733-440a-838c-7bff4b8eadf2 · outbound

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

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis DINOv2: Learning Robust Visual Features without Supervision

Reference 5

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no resolver link, observed 2026-08-01T15:40:55.123163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:40:55.123163Z digest=sha256:f5e5dfa0e2bc7a918525f33750e200b1161844259035021467d35ac6068bf427

Observation 1e2481e7-0cfc-4706-9ad7-7224e5db55c7 · outbound

This paper cites Artificial intelligence for diagnosis and gleason grading of prostate cancer: the panda challenge.Nature Medicine, 28:154–163, 2022.

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis Artificial intelligence for diagnosis and gleason grading of prostate cancer: the panda challenge.Nature Medicine, 28:154–163, 2022

Reference 6

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no resolver link, observed 2026-08-01T15:40:55.306058Z

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source=pdf_text observed=2026-08-01T15:40:55.306058Z digest=sha256:6b7397b220b739b16e734d0d5045e6913d7cc9993a0fb45f3c196ce774b33f4d

Observation 732d79cc-80ab-40f9-820b-056430a4079d · outbound

This paper cites Mercea, Romana Prihoda, Ellen Gelpi, Christine Haberler, Romana Höftberger, Johannes A.

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis Mercea, Romana Prihoda, Ellen Gelpi, Christine Haberler, Romana Höftberger, Johannes A

Reference 7

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source=pdf_text observed=2026-08-01T15:40:55.478900Z digest=sha256:7fa7712510863ad2f8b5c05373352e50880b5918fd1fced881b9c8e2e0484674

Observation 24ca15e5-b468-4350-8163-a8c5cba27c5f · outbound

This paper cites Wagner, Andrew H.

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis Wagner, Andrew H

Reference 8

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source=pdf_text observed=2026-08-01T15:40:55.635512Z digest=sha256:63adaa5e18490eb105227ff4945b433bee71735f7f55d4a156c2c6d2ae2ebffd

Observation f1376030-10b1-45e0-b769-94d561fe5f22 · outbound

This paper cites Attention-based deep multiple instance learning.

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis Attention-based deep multiple instance learning

Reference 9

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no resolver link, observed 2026-08-01T15:40:55.750627Z

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source=pdf_text observed=2026-08-01T15:40:55.750627Z digest=sha256:c3053c57074a9d29a5e6632c8b599d9b756211c024cac1437bc33d1a5087420b

Observation d4ceee6a-4a3d-4d27-8415-72b7260aa1df · outbound

This paper cites PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology.

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology

Reference 10

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no resolver link, observed 2026-08-01T15:40:55.827235Z

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source=pdf_text observed=2026-08-01T15:40:55.827235Z digest=sha256:60da5f54a68c62ebe065c077a3c6195af7d0f26b60a1587680eb20ee08aa0a3f

Observation ee24da09-8bbe-447f-9929-c5a1e60a2ac6 · outbound

This paper cites Towards a general-purpose foundation model for computational pathology.

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis Towards a general-purpose foundation model for computational pathology

Reference 11

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source=pdf_text observed=2026-08-01T15:40:55.910264Z digest=sha256:bdfb737f4b3392c33235e51b5c418b36e564233cd3a2a7b875b77c38519b2182

Observation 56312fb5-a7a5-4f76-ac92-8d8011303102 · outbound

This paper cites UNI2-h.https://huggingface.co/MahmoodLab/UNI2-h, 2025.

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis UNI2-h.https://huggingface.co/MahmoodLab/UNI2-h, 2025

Reference 12

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no resolver link, observed 2026-08-01T15:40:55.992077Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:40:55.992077Z digest=sha256:9abe6f91d0bd77f923618c89da503e6b31d30821ae6cfccd0af9923fa495be0c

Observation d0f2cc94-9e9a-412e-a33e-b265158007f3 · outbound

This paper cites Hibou: A Family of Foundational Vision Transformers for Pathology.

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis Hibou: A Family of Foundational Vision Transformers for Pathology

Reference 13

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no resolver link, observed 2026-08-01T15:40:56.072599Z

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source=pdf_text observed=2026-08-01T15:40:56.072599Z digest=sha256:28c5f24ca29102ae30dafe60337de67de08a333362776aaf69021eb59207a848

Observation 153d3704-ee03-4629-a0a1-260ffab11072 · outbound

This paper cites Towards Large-Scale Training of Pathology Foundation Models.

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis Towards Large-Scale Training of Pathology Foundation Models

Reference 14

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source=pdf_text observed=2026-08-01T15:40:56.127693Z digest=sha256:99ab201df2185d4ccebe61f9d5efc99d121eedb65f0df69d54cca04df300b90f

Observation da5895c8-4d15-44da-8363-3a8eae797967 · outbound

This paper cites Domain-specific optimization and diverse evaluation of self-supervised models for histopathology.

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis Domain-specific optimization and diverse evaluation of self-supervised models for histopathology

Reference 15

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verified exact
local_arxiv, observed 2026-08-01T15:44:32.387949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-01T15:40:56.215017Z digest=sha256:f09ebf53977323c4825c32f6896d7270d1a0f3f4b4f75bc60c17e7cfd557b728

Observation 56101d6f-90ff-40c9-9460-c0283a8d4794 · outbound

This paper cites Unet++: A nested u-net architecture for medical image segmentation.

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis Unet++: A nested u-net architecture for medical image segmentation

Reference 16

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source=pdf_text observed=2026-08-01T15:40:56.271557Z digest=sha256:8206f4b304dfdb87d9ae26f3eb90f68ebbd827cb57d9e18c04b041f628b1cd18

Observation 6e7dcc81-3cd5-4529-8529-299ebf3712bc · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 17

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source=pdf_text observed=2026-08-01T15:40:56.336863Z digest=sha256:774035447141a9ba56e2765807aa0537d45457e9435fe2641c0af2a4872af1e5

Pith citing papers

No inbound Pith citation observations are available.