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Paper Citation Record · LEDGER

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation

As of 15 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2606.25508.

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

pith.paper-citation-record.v1
2606.25508 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-25T21:37:30.191680Z

measured 30 of 30 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

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Source: cited_works

Reference resolution

30 of 30 outbound references displayed

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  • unresolved28
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Outbound references

Observation e1502de5-bea2-41af-938b-a49630e94097 · outbound

This paper cites Nature Machine Intelligence7(8), 1292–1307 (2025).

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation Nature Machine Intelligence7(8), 1292–1307 (2025)

Reference 1

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Observation 8b79ca04-3db1-4354-97c8-7e5927887ab1 · outbound

This paper cites Nature634(8035), 970–978 (2024).

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation Nature634(8035), 970–978 (2024)

Reference 2

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Observation 51db4e89-6da2-4168-9db5-6d8b665ff189 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 3

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Observation 73b38fe8-2965-4aab-bcaa-360405e432a5 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 4

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Observation 343c10b2-bf86-4fbc-8ef5-a8de27f8c591 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 5

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Observation 8d49fa97-2b9a-4e2b-a164-c5e74c6d8050 · outbound

This paper cites IEEE Transactions on Fuzzy Systems (2025).

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation IEEE Transactions on Fuzzy Systems (2025)

Reference 6

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Observation 3ebbed17-54e1-403f-860e-e8ab409cffd1 · outbound

This paper cites Engineering Applications of Artificial Intelligence156, 111100 (2025).

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation Engineering Applications of Artificial Intelligence156, 111100 (2025)

Reference 7

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Observation 31aa8ea6-9f41-473d-9b87-58e4f3129d9d · outbound

This paper cites Medical Image Analysis80, 102482 (2022).

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation Medical Image Analysis80, 102482 (2022)

Reference 8

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Observation 879e79a9-2385-4368-abf3-f84299f07aae · outbound

This paper cites Medical Image Analysis86, 102791 (2023).

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation Medical Image Analysis86, 102791 (2023)

Reference 9

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Observation c96c2b53-5d15-4e37-b686-92c2176dcbbb · outbound

This paper cites Medical Image Analysis103, 103563 (2025) 10 H.

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation Medical Image Analysis103, 103563 (2025) 10 H

Reference 10

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Observation 7b7d01f8-fdc4-4caf-949f-123d4abbebb3 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 11

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Observation c554a808-3920-4f97-a1bb-a7b4af46d821 · outbound

This paper cites In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition.

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition

Reference 12

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Observation 4c5d40f7-4964-4933-a627-20915ebaada3 · outbound

This paper cites IEEE Transactions on Medical Imaging (2025).

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation IEEE Transactions on Medical Imaging (2025)

Reference 13

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Observation 1218f79b-b2a9-45e5-9727-ff55ffc88b92 · outbound

This paper cites Pattern Recognition160, 111204 (2025).

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation Pattern Recognition160, 111204 (2025)

Reference 14

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Observation 895632b4-2b1c-4853-b20c-462078a61621 · outbound

This paper cites IEEE Transactions on Image Processing35, 2513–2528 (2026).

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation IEEE Transactions on Image Processing35, 2513–2528 (2026)

Reference 15

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Observation 431d4288-efc1-46be-b07a-5f10fb1572a8 · outbound

This paper cites IEEE transactions on medical imaging (2026).

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation IEEE transactions on medical imaging (2026)

Reference 16

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Observation d6f5cebf-6beb-4d05-86a2-c2c483fc3771 · outbound

This paper cites IEEE Transactions on Medical Imaging (2025).

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation IEEE Transactions on Medical Imaging (2025)

Reference 17

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Observation 22891ab5-ea0c-40da-8bc7-98f635895ba0 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 18

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Observation 2c2aac55-f58e-4fbb-878e-a3d7783ccdef · outbound

This paper cites IEEE Transactions on Medical Imaging42(10), 2912–2923 (2023).

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation IEEE Transactions on Medical Imaging42(10), 2912–2923 (2023)

Reference 19

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Observation 71cc933c-95aa-41a4-bf1b-44ec02e56f65 · outbound

This paper cites Medical Image Analysis80, 102487 (2022).

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation Medical Image Analysis80, 102487 (2022)

Reference 20

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Observation 9a8808de-7917-4c16-b69f-f69718fc8bc2 · outbound

This paper cites Information Fusion125, 103432 (2026).

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation Information Fusion125, 103432 (2026)

Reference 21

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Observation a0def13a-22b0-4454-9bdb-3332a8807ecb · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 22

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Observation 39904181-5d4d-40c7-8cf7-65e6bbb3ab4f · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 23

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Observation d316ee15-3907-49f2-8e0d-66a0e11385ed · outbound

This paper cites DINOv3.

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation DINOv3

Reference 24

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local_arxiv, observed 2026-07-04T19:10:05.339625Z

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Observation 2c99c454-c940-452d-820c-ce23466995ff · outbound

This paper cites Bioinformatics 35(18), 3461–3467 (2019).

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation Bioinformatics 35(18), 3461–3467 (2019)

Reference 25

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Observation cc2966bb-7feb-4a93-9181-29f13d381393 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 26

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Observation dc782184-1b38-4b1b-bd4c-019925f4be64 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation SAM 2: Segment Anything in Images and Videos

Reference 27

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local_arxiv, observed 2026-07-04T19:10:05.341348Z

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Observation cdd5727b-304c-4e76-afa3-a60e5492bdd9 · outbound

This paper cites Nature Communications15(1), 654 (2024).

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation Nature Communications15(1), 654 (2024)

Reference 28

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Observation 5a76b18a-6b0e-4b0b-8198-d3e52c46641f · outbound

This paper cites In: International Conference on Medi- cal Image Computing and Computer-Assisted Intervention.

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation In: International Conference on Medi- cal Image Computing and Computer-Assisted Intervention

Reference 29

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Observation 816747d5-5a02-49a6-9d34-609f6d44da85 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 30

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