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Paper Citation Record · LEDGER

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2608.11765.

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

pith.paper-citation-record.v1
2608.11765 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:31:15.459064Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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 exact6
  • verified fuzzy4
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dafc5a3a-90c2-4291-9bce-a5c154499277 · outbound

This paper cites Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations

Reference 1

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verified exact
local_arxiv, observed 2026-08-16T00:31:15.809947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:31:15.332493Z digest=sha256:53c571c7f596cdfcada88b4c165d444b55aba4fcd8844f9a4f30ed5a6492ae1e

Observation 7af7fa70-a005-4993-bafa-ebc7c69af8d1 · outbound

This paper cites Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:31:15.337952Z digest=sha256:1e544de5f16d4e881104d81b903cd73af0da591363107bda5bcb491e8b8223eb

Observation f29cc34c-c9bb-4932-9316-3f9406339f79 · outbound

This paper cites an unresolved cited work.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Unresolved cited work

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:31:15.343089Z digest=sha256:2d085d676064431a17034c2cb569b0955b7a01f373d87ef7be04b51aea3b6a62

Observation e7c7f627-7e53-48e7-991f-92482b11d8ac · outbound

This paper cites Nature medicine25, 1301 – 1309 (2019),https://api.semanticscholar.org/ CorpusID:196814162.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Nature medicine25, 1301 – 1309 (2019),https://api.semanticscholar.org/ CorpusID:196814162

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-16T00:31:15.913318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:31:15.347865Z digest=sha256:d1c460e0e96011083577ae1f86d6b7455d966e1b4955419ee4f782cf45e5eec7

Observation 8a073a56-73e4-4da7-8d41-fdbf9f5fc2e5 · outbound

This paper cites Nature Medicine (2024).

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Nature Medicine (2024)

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:31:15.352879Z digest=sha256:f37af76719a2abd41ada67baab45dd133679d6685a443a9d0d6f1f5f3c9c6647

Observation 4d7fd100-8040-44c1-9f7f-4e86e7a7af84 · outbound

This paper cites Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:31:15.357893Z digest=sha256:c24c9a3bfe3883df2cf545e3824af5e7e445e7dae4c16d9898e6bd4b59d414c5

Observation a3a92fe4-284f-45bc-acf2-8705a3955828 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:31:15.363236Z digest=sha256:a25dc724a5c2bff8106b3c91c10bedb06e2e7e753fb56992ec19682e6961908d

Observation 3e5885f8-6e33-4295-8616-ec38a072e231 · outbound

This paper cites In: AAAI Conference on Artificial Intelligence (2023), https://api.semanticscholar.org/CorpusID:259735474.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation In: AAAI Conference on Artificial Intelligence (2023), https://api.semanticscholar.org/CorpusID:259735474

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 77792702-a2f6-48c5-be74-c61e6a953fb3 · outbound

This paper cites Multimodal Prototype Alignment for Semi-supervised Pathology Image Segmentation.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Multimodal Prototype Alignment for Semi-supervised Pathology Image Segmentation

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:31:15.372628Z digest=sha256:712e6b6c3e7e9affbb3fbe8020a47c4732f6b67fff98647bdcfa15fc97d5354d

Observation 3de0e80c-152d-478f-88a8-2b66f3b16669 · outbound

This paper cites WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Reference 10

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Observation 5916127b-5d0f-4c9e-8779-15df52ef394e · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Semi-Supervised Classification with Graph Convolutional Networks

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:31:15.381987Z digest=sha256:302e8350b72dc4e1354dffab2f6d666809acda336f1fcd55cb763aa418ed41cb

Observation 86cbb873-9e34-4026-a11d-b37046fe6e5c · outbound

This paper cites an unresolved cited work.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-16T00:31:15.873539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:31:15.386597Z digest=sha256:2b8767ee88ccd54ac9849fcefdde2dfd780daea3d4688f6bc0d4bb1ea57e3d26

Observation 6d714897-ee0e-4a2c-b09d-b851e4b82e59 · outbound

This paper cites Weakly Supervised Semantic Segmentation using Out-of-Distribution Data.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Weakly Supervised Semantic Segmentation using Out-of-Distribution Data

Reference 13

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verified exact
local_arxiv, observed 2026-08-16T00:31:15.696155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 23b7a918-44da-4b83-b935-db3a526b1540 · outbound

This paper cites Feature Pyramid Networks for Object Detection.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Feature Pyramid Networks for Object Detection

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 280f3ba1-f179-4a4f-b39a-a65fb5bb6967 · outbound

This paper cites Nature Medicine30, 863–874 (2024).

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Nature Medicine30, 863–874 (2024)

Reference 15

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Observation e1530ef7-baaa-47fe-90e6-b90596d29e43 · outbound

This paper cites Image Segmentation Using Deep Learning: A Survey.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Image Segmentation Using Deep Learning: A Survey

Reference 16

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Unavailable: canonical work link unavailable.

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Observation e361da29-e5e8-41d6-8999-24ff416cf2ce · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Representation Learning with Contrastive Predictive Coding

Reference 17

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Unavailable: canonical work link unavailable.

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Observation e99ea952-a76b-495d-a1d6-95bb8dce320e · outbound

This paper cites Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation

Reference 18

Resolution
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local_arxiv, observed 2026-08-16T00:31:15.627445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d2d1c9e5-40a8-4771-912d-eba06d331ea6 · outbound

This paper cites Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:31:15.605456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:31:15.417757Z digest=sha256:6e38b0f999b59e2d4cd86eccc065406bae88ca795b86ae0e81d31d291c8360b0

Observation 48ccb8d4-ca2d-43b5-b1f2-5243f2db47ea · outbound

This paper cites International Journal of Computer Vision128(2), 336–359 (Oct 2019).

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation International Journal of Computer Vision128(2), 336–359 (Oct 2019)

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:31:15.422276Z digest=sha256:718d08ed487c35847af8e2e450b46e81091cdabc3083c018b2c4c45d8f4a36e6

Observation 5debe94f-c50b-4e91-84be-67623608f325 · outbound

This paper cites Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation

Reference 21

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Observation f54c50b9-e0d8-4a42-8c36-8005961064a0 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

Reference 22

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raw_fallback, observed 2026-08-16T00:31:15.848674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 59215197-9882-4b08-991f-ec7c9df52142 · outbound

This paper cites an unresolved cited work.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Unresolved cited work

Reference 23

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Unavailable: canonical work link unavailable.

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Observation 20016c59-4438-4150-b03e-4017b55898c2 · outbound

This paper cites Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

Reference 24

Resolution
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local_arxiv, observed 2026-08-16T00:31:15.567611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation db314c61-1f11-4510-9c40-18ecc2f68899 · outbound

This paper cites MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d511b059-9776-429d-b588-ccd8f6d5e8a5 · outbound

This paper cites Cross Language Image Matching for Weakly Supervised Semantic Segmentation.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Cross Language Image Matching for Weakly Supervised Semantic Segmentation

Reference 26

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local_arxiv, observed 2026-08-16T00:31:15.530016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 44dded74-c455-48df-8135-f71b8febd3be · outbound

This paper cites In: International Conference on Medi- cal Image Computing and Computer-Assisted Intervention (2023),https://api.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation In: International Conference on Medi- cal Image Computing and Computer-Assisted Intervention (2023),https://api

Reference 27

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raw_fallback, observed 2026-08-16T00:31:15.824516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 73a25d4d-6038-4037-bfe8-6c4d745a0848 · outbound

This paper cites Learning Deep Features for Discriminative Localization.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Learning Deep Features for Discriminative Localization

Reference 28

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.