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Paper Citation Record · LEDGER

PathSelect: Sequential Token Selection for Whole Slide Pathology

As of 7 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2607.23631.

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

pith.paper-citation-record.v1
2607.23631 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T17:15:35.029890Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:18:16.474432Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

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Outbound references

Observation 37f944c3-2d8b-4b31-9cdc-39043201b558 · outbound

This paper cites Scalar: Spatial- concept alignment for robust vision in harsh open world.Pattern Recognition, page 113203, 2026.

PathSelect: Sequential Token Selection for Whole Slide Pathology Scalar: Spatial- concept alignment for robust vision in harsh open world.Pattern Recognition, page 113203, 2026

Reference 1

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Observation cd0f065b-7822-4ce7-a009-459d530a8451 · outbound

This paper cites A unified multi-task framework enables interpretable chest radiograph analysis.Med, 2026.

PathSelect: Sequential Token Selection for Whole Slide Pathology A unified multi-task framework enables interpretable chest radiograph analysis.Med, 2026

Reference 2

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Observation 1d477477-ff97-483b-990d-b28c42e1e526 · outbound

This paper cites A foundation model for generalizable disease diagnosis in chest X-ray images.

PathSelect: Sequential Token Selection for Whole Slide Pathology A foundation model for generalizable disease diagnosis in chest X-ray images

Reference 3

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Observation 4c35d70b-73a9-4b61-8f92-48ca1f63994a · outbound

This paper cites XrayClaw: Cooperative-Competitive Multi-Agent Alignment for Trustworthy Chest X-ray Diagnosis.

PathSelect: Sequential Token Selection for Whole Slide Pathology XrayClaw: Cooperative-Competitive Multi-Agent Alignment for Trustworthy Chest X-ray Diagnosis

Reference 4

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Observation beddba0a-40e4-471f-ba6b-0090638eb304 · outbound

This paper cites Clinical-grade computational pathology using weakly supervised deep learning on whole slide images.Nature medicine, 25(8):1301–1309, 2019.

PathSelect: Sequential Token Selection for Whole Slide Pathology Clinical-grade computational pathology using weakly supervised deep learning on whole slide images.Nature medicine, 25(8):1301–1309, 2019

Reference 5

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Observation e792948d-29ef-44ee-9e69-3802b88f0931 · outbound

This paper cites A graph-transformer for whole slide image classification.

PathSelect: Sequential Token Selection for Whole Slide Pathology A graph-transformer for whole slide image classification

Reference 6

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Observation 808c7f7b-a765-43a4-9d5a-221e1b132d0a · outbound

This paper cites Streaming convolutional neural networks for end-to- end learning with multi-megapixel images.IEEE transactions on pattern analysis and machine intelligence, 44(3):1581–1590, 2020.

PathSelect: Sequential Token Selection for Whole Slide Pathology Streaming convolutional neural networks for end-to- end learning with multi-megapixel images.IEEE transactions on pattern analysis and machine intelligence, 44(3):1581–1590, 2020

Reference 7

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Observation ee02baa1-7ccf-4663-b609-3eead23ab043 · outbound

This paper cites Tc-ssa: Token compression via semantic slot aggregation for gigapixel pathology reasoning.MICCAI, 2026.

PathSelect: Sequential Token Selection for Whole Slide Pathology Tc-ssa: Token compression via semantic slot aggregation for gigapixel pathology reasoning.MICCAI, 2026

Reference 8

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Observation 5762b530-9c63-49c9-9beb-8544da2c8c6c · outbound

This paper cites Scaling vision transformers to gigapixel images via hierar- chical self-supervised learning.

PathSelect: Sequential Token Selection for Whole Slide Pathology Scaling vision transformers to gigapixel images via hierar- chical self-supervised learning

Reference 9

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Observation 1ef94d37-889f-4a55-be78-fa30c2b634f4 · outbound

This paper cites Dynamicvit: Efficient vision transformers with dynamic token sparsification.

PathSelect: Sequential Token Selection for Whole Slide Pathology Dynamicvit: Efficient vision transformers with dynamic token sparsification

Reference 10

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Observation 775111e9-5c66-45ba-a0bd-038cd0c77cbd · outbound

This paper cites Token merging: Your ViT but faster.

PathSelect: Sequential Token Selection for Whole Slide Pathology Token merging: Your ViT but faster

Reference 11

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Observation be5f0f3d-3207-485d-95e0-62318cfe8873 · outbound

This paper cites Beyond Surrogate Gradients: Fully Differentiable Token Pruning for Vision-Language Models.

PathSelect: Sequential Token Selection for Whole Slide Pathology Beyond Surrogate Gradients: Fully Differentiable Token Pruning for Vision-Language Models

Reference 12

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Observation b9700206-cd5e-4216-92d1-f50f7a4936b5 · outbound

This paper cites The model knows which tokens matter:automatic token selection via noise gating.arXiv preprint arXiv:2603.07135, 2026.

PathSelect: Sequential Token Selection for Whole Slide Pathology The model knows which tokens matter:automatic token selection via noise gating.arXiv preprint arXiv:2603.07135, 2026

Reference 13

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Observation 80569dfd-0c58-4cab-99b1-9ec9bf1b5859 · outbound

This paper cites Stepwise token selection for efficient multimodal large language models.

PathSelect: Sequential Token Selection for Whole Slide Pathology Stepwise token selection for efficient multimodal large language models

Reference 14

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Observation 4752fe06-6890-4ce7-a867-c307d2f6667d · outbound

This paper cites Learnable Token Sparsification for Efficient Gigapixel Whole Slide Image Reasoning.

PathSelect: Sequential Token Selection for Whole Slide Pathology Learnable Token Sparsification for Efficient Gigapixel Whole Slide Image Reasoning

Reference 15

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Observation c0d4c6e3-6704-46a1-9307-380b494ac9d9 · outbound

This paper cites Stochastic beams and where to find them: The gumbel-top- k trick for sampling sequences without replacement.

PathSelect: Sequential Token Selection for Whole Slide Pathology Stochastic beams and where to find them: The gumbel-top- k trick for sampling sequences without replacement

Reference 16

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Observation 07b2d4ae-a4e6-4797-8226-7fc2f6a80f51 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

PathSelect: Sequential Token Selection for Whole Slide Pathology Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 17

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Observation a85287ae-ca97-4de2-b044-2b472c7dd019 · outbound

This paper cites LearnPruner: Rethinking Attention-based Token Pruning in Vision Language Models.

PathSelect: Sequential Token Selection for Whole Slide Pathology LearnPruner: Rethinking Attention-based Token Pruning in Vision Language Models

Reference 18

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Observation 705c54dc-c369-4f30-9af0-c043ea22b1d1 · outbound

This paper cites Slidechat: A large vision-language assistant for whole-slide pathol- ogy image understanding.

PathSelect: Sequential Token Selection for Whole Slide Pathology Slidechat: A large vision-language assistant for whole-slide pathol- ogy image understanding

Reference 19

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Observation bb2f9732-e967-44f1-8717-f738bd46e17b · outbound

This paper cites One leaf reveals the season: Occlusion-based contrastive learning with semantic-aware views for efficient visual representation.

PathSelect: Sequential Token Selection for Whole Slide Pathology One leaf reveals the season: Occlusion-based contrastive learning with semantic-aware views for efficient visual representation

Reference 20

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Observation 59177f7c-5626-4cf3-aeaf-0034eb63146f · outbound

This paper cites Fewer tokens, greater scaling: Self-adaptive visual bases for efficient and expansive representation learning.arXiv preprint arXiv:2511.19515, 2026.

PathSelect: Sequential Token Selection for Whole Slide Pathology Fewer tokens, greater scaling: Self-adaptive visual bases for efficient and expansive representation learning.arXiv preprint arXiv:2511.19515, 2026

Reference 21

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Observation 82c76b2d-80bb-411a-8ff9-2252a79d1a50 · outbound

This paper cites Attention-based deep multiple instance learning.

PathSelect: Sequential Token Selection for Whole Slide Pathology Attention-based deep multiple instance learning

Reference 22

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Observation 5d3b36ea-3a78-4ad8-ac29-3fc48b4b4ed4 · outbound

This paper cites Data-efficient and weakly supervised computational pathology on whole-slide images.Nature biomedical engineering, 5(6):555–570, 2021.

PathSelect: Sequential Token Selection for Whole Slide Pathology Data-efficient and weakly supervised computational pathology on whole-slide images.Nature biomedical engineering, 5(6):555–570, 2021

Reference 23

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Observation 8cd9c1d3-456c-40e9-8fe9-6e19f65c5451 · outbound

This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide image classification.Advances in neural information processing systems, 34:2136–2147, 2021.

PathSelect: Sequential Token Selection for Whole Slide Pathology Transmil: Transformer based correlated multiple instance learning for whole slide image classification.Advances in neural information processing systems, 34:2136–2147, 2021

Reference 24

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Observation 748798ee-6243-4c73-a36e-192c07c52b65 · outbound

This paper cites an unresolved cited work.

PathSelect: Sequential Token Selection for Whole Slide Pathology Unresolved cited work

Reference 25

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source=pdf_text observed=2026-07-30T17:15:34.918170Z digest=sha256:d30c9244c2eaf54347f19d4d6ad0e92419361890b0e66489e41de32707110aba

Observation fdf081da-70e7-4b3d-8319-f3a0f99f211b · outbound

This paper cites Learning heterogeneous tissues with mixture of experts for gigapixel whole slide images.

PathSelect: Sequential Token Selection for Whole Slide Pathology Learning heterogeneous tissues with mixture of experts for gigapixel whole slide images

Reference 26

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Observation 3449b44b-22e3-4d51-8bce-58031100c450 · outbound

This paper cites Multi-modal gated mixture of local-to-global experts for dynamic image fusion.

PathSelect: Sequential Token Selection for Whole Slide Pathology Multi-modal gated mixture of local-to-global experts for dynamic image fusion

Reference 27

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Observation 48a37495-aec1-4070-a986-9f9c08a6167b · outbound

This paper cites Feature re-embedding: Towards foundation model-level performance in computational pathology.

PathSelect: Sequential Token Selection for Whole Slide Pathology Feature re-embedding: Towards foundation model-level performance in computational pathology

Reference 28

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Observation 0673f8d5-f108-4117-b7ba-fede84709146 · outbound

This paper cites Revisiting end-to-end learning with slide-level supervision in computational pathology.Advances in Neural Information Processing Systems, 38:160279–160312, 2026.

PathSelect: Sequential Token Selection for Whole Slide Pathology Revisiting end-to-end learning with slide-level supervision in computational pathology.Advances in Neural Information Processing Systems, 38:160279–160312, 2026

Reference 29

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Observation 5062f046-4cdd-4079-8f8c-9fe2bc556c5c · outbound

This paper cites Towards a general-purpose foundation model for computational pathology.Nature medicine, 30(3):850–862, 2024.

PathSelect: Sequential Token Selection for Whole Slide Pathology Towards a general-purpose foundation model for computational pathology.Nature medicine, 30(3):850–862, 2024

Reference 30

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Observation c979e19c-e6a2-46d8-a9ae-cd87710dac64 · outbound

This paper cites A whole-slide foundation model for digital pathology from real-world data.Nature, 630(8015):181–188, 2024.

PathSelect: Sequential Token Selection for Whole Slide Pathology A whole-slide foundation model for digital pathology from real-world data.Nature, 630(8015):181–188, 2024

Reference 31

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Observation 4d383d96-19c3-4ecf-9473-d60d5b85fca7 · outbound

This paper cites Multimodal model for computational pathology: Representation learning and image compression.arXiv preprint arXiv:2603.18660, 2026.

PathSelect: Sequential Token Selection for Whole Slide Pathology Multimodal model for computational pathology: Representation learning and image compression.arXiv preprint arXiv:2603.18660, 2026

Reference 32

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Observation 66c42414-cee6-4ad4-b5b2-795048e0f53e · outbound

This paper cites MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation.

PathSelect: Sequential Token Selection for Whole Slide Pathology MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation

Reference 33

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Observation f7f8bff8-4763-4af1-a463-06deceeaa43d · outbound

This paper cites A visual–language foun- dation model for pathology image analysis using medical twitter.Nature medicine, 29(9):2307–2316, 2023.

PathSelect: Sequential Token Selection for Whole Slide Pathology A visual–language foun- dation model for pathology image analysis using medical twitter.Nature medicine, 29(9):2307–2316, 2023

Reference 34

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Observation ef09edb5-4adc-4d92-a05a-8ddd29f82c7d · outbound

This paper cites A visual-language foundation model for computational pathology.Nature medicine, 30(3):863–874, 2024.

PathSelect: Sequential Token Selection for Whole Slide Pathology A visual-language foundation model for computational pathology.Nature medicine, 30(3):863–874, 2024

Reference 35

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source=pdf_text observed=2026-07-30T17:15:34.954838Z digest=sha256:ed671ea973702b3610978ae4a4fc69f19570e0c7115cef676f82ff48bba5748d

Observation 890723f1-3a52-4f86-9e55-0709b71b92d2 · outbound

This paper cites Cpath-omni: A unified multimodal foundation model for patch and whole slide image analysis in computational pathology.

PathSelect: Sequential Token Selection for Whole Slide Pathology Cpath-omni: A unified multimodal foundation model for patch and whole slide image analysis in computational pathology

Reference 36

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source=pdf_text observed=2026-07-30T17:15:34.958548Z digest=sha256:3d95013dbdcdf6af25faaa9f71f97bba17aa2560ae99258abc6c3889f858bf5f

Observation 76437f9d-c954-44b3-8a66-bd8d9210fa8e · outbound

This paper cites Segmentation and vascular vectorization for coronary artery by geometry-based cascaded neural network.IEEE Transactions on Medical Imaging, 44(1):259–269, 2024.

PathSelect: Sequential Token Selection for Whole Slide Pathology Segmentation and vascular vectorization for coronary artery by geometry-based cascaded neural network.IEEE Transactions on Medical Imaging, 44(1):259–269, 2024

Reference 37

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source=pdf_text observed=2026-07-30T17:15:34.963488Z digest=sha256:bacc460b70693ad4afdc3504ffd8716c0c10d292de822dee226d992f25bba4a2

Observation b891a22c-8b9e-4bcb-a7df-06ca697ebddf · outbound

This paper cites Geometry-based end- to-end segmentation of coronary artery in computed tomography angiography.

PathSelect: Sequential Token Selection for Whole Slide Pathology Geometry-based end- to-end segmentation of coronary artery in computed tomography angiography

Reference 38

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source=pdf_text observed=2026-07-30T17:15:34.967331Z digest=sha256:390e1c141ecfdb0c4088746ce47b0e9aa3f9ad79015152bab79cbc6e79546a2e

Observation 8f83c328-8222-4b5a-a616-debdb9b0c9a9 · outbound

This paper cites Efficient chest x-ray representation learning via semantic- partitioned contrastive learning.arXiv preprint arXiv:2603.07113, 2026.

PathSelect: Sequential Token Selection for Whole Slide Pathology Efficient chest x-ray representation learning via semantic- partitioned contrastive learning.arXiv preprint arXiv:2603.07113, 2026

Reference 39

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source=pdf_text observed=2026-07-30T17:15:34.970932Z digest=sha256:bce9cd67763733fd90c3045ee257e9ece7cf219c28fa490ff7d50a03be8f9a3f

Observation 616ed26f-a1a6-405e-ae3f-080df971676b · outbound

This paper cites When tokens talk too much: A survey of multimodal long-context token compression across images, videos, and audios.arXiv preprint arXiv:2507.20198, 2025.

PathSelect: Sequential Token Selection for Whole Slide Pathology When tokens talk too much: A survey of multimodal long-context token compression across images, videos, and audios.arXiv preprint arXiv:2507.20198, 2025

Reference 40

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source=pdf_text observed=2026-07-30T17:15:34.974578Z digest=sha256:92e631bfe63fe2b2830ce56d3371a58fb24a1367dc75230fa759f604d415b886

Observation 0b617662-6b96-4d9f-a558-779cb4a86209 · outbound

This paper cites Mmtok: Multimodal coverage maximization for efficient inference of vlms.International Conference on Learning Representations, 2026.

PathSelect: Sequential Token Selection for Whole Slide Pathology Mmtok: Multimodal coverage maximization for efficient inference of vlms.International Conference on Learning Representations, 2026

Reference 41

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source=pdf_text observed=2026-07-30T17:15:34.978093Z digest=sha256:d99a50b7e559b52ea610b2c0fa20d2a9a5aefe33ad04d34f336a62c5a6993c33

Observation 14b27d67-d230-43a2-a126-7686e3456498 · outbound

This paper cites Beyond attention or similarity: Maximizing conditional diversity for token pruning in mllms.Advances in Neural Information Processing Systems, 38:25438–25468, 2026.

PathSelect: Sequential Token Selection for Whole Slide Pathology Beyond attention or similarity: Maximizing conditional diversity for token pruning in mllms.Advances in Neural Information Processing Systems, 38:25438–25468, 2026

Reference 42

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source=pdf_text observed=2026-07-30T17:15:34.981704Z digest=sha256:2e980bb95b78016b3bb443aa24ea7f3bb9478ba5fa13b890168e250a7cc94311

Observation 7ca0456d-682b-417e-9254-31ee16082514 · outbound

This paper cites Dynamic-llava: Efficient multimodal large language models via dynamic vision-language context sparsifi- cation.

PathSelect: Sequential Token Selection for Whole Slide Pathology Dynamic-llava: Efficient multimodal large language models via dynamic vision-language context sparsifi- cation

Reference 43

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source=pdf_text observed=2026-07-30T17:15:34.985518Z digest=sha256:fc715f76c0ab0bc45eaca0b521555fdcff4bc1a40b57d2a49c67b1cee2143515

Observation f48d75ad-bc87-4939-bab3-af3c1723f750 · outbound

This paper cites Hidrop: Hierarchical vision token reduction in mllms via late injection, concave pyramid pruning, and early exit.International Conference on Learning Representations, 2026.

PathSelect: Sequential Token Selection for Whole Slide Pathology Hidrop: Hierarchical vision token reduction in mllms via late injection, concave pyramid pruning, and early exit.International Conference on Learning Representations, 2026

Reference 44

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source=pdf_text observed=2026-07-30T17:15:34.989435Z digest=sha256:25129d1893488b95b77bcb9a3f362e7fa6e950a70e6e9a48b54a4c6933757d9c

Observation e3bd1bb0-e612-4e7a-a913-0b5927b1daab · outbound

This paper cites Visionzip: Longer is better but not necessary in vision language models.

PathSelect: Sequential Token Selection for Whole Slide Pathology Visionzip: Longer is better but not necessary in vision language models

Reference 45

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source=pdf_text observed=2026-07-30T17:15:34.993629Z digest=sha256:25f9465971a0627a3e36c3096a754094cb643544e805ecb714adced13c87aeeb

Observation a4f5c122-f8de-42e9-8f01-f03c05e79e9c · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

PathSelect: Sequential Token Selection for Whole Slide Pathology Categorical Reparameterization with Gumbel-Softmax

Reference 46

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source=pdf_text observed=2026-07-30T17:15:34.997280Z digest=sha256:6616bfaf919417cb34141907107ce89e4a32a0fa168a747d92b69577a2ff3b88

Observation 0365e8b6-17ef-46ee-b311-2efba3a20474 · outbound

This paper cites Loc-path: Learning to compress for pathology multimodal large language models.arXiv preprint arXiv:2512.05391, 2025.

PathSelect: Sequential Token Selection for Whole Slide Pathology Loc-path: Learning to compress for pathology multimodal large language models.arXiv preprint arXiv:2512.05391, 2025

Reference 47

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source=pdf_text observed=2026-07-30T17:15:35.001832Z digest=sha256:8a15548b0dbf9dd9a212bbb6c9a9253f45e04f342f5a7835e3bbadae69c65697

Observation d1aa1123-8326-4a18-97ba-1b9cb74b1230 · outbound

This paper cites Wsisum: Wsi summarization via dual-level semantic reconstruc- tion.Medical Image Analysis, page 103970, 2026.

PathSelect: Sequential Token Selection for Whole Slide Pathology Wsisum: Wsi summarization via dual-level semantic reconstruc- tion.Medical Image Analysis, page 103970, 2026

Reference 48

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source=pdf_text observed=2026-07-30T17:15:35.005766Z digest=sha256:8acd8d0bb6233bee30c3cbd755408ac24e34ffc9ffe9c58c24be6f35a403bce9

Observation 580ff95d-62bc-4ad0-8bbe-66b97609dcb1 · outbound

This paper cites Focus: Knowledge-enhanced adaptive visual compression for few-shot whole slide image classification.

PathSelect: Sequential Token Selection for Whole Slide Pathology Focus: Knowledge-enhanced adaptive visual compression for few-shot whole slide image classification

Reference 49

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source=pdf_text observed=2026-07-30T17:15:35.009459Z digest=sha256:2a95adfc21c9fbf0d2f2446b307dfb730e06c76b9b0cecc23434194e5ae987fb

Observation 2d2670b3-c3d4-4300-a33d-c8020e92eb63 · outbound

This paper cites Wsi-vqa: Interpreting whole slide images by generative visual question answering.

PathSelect: Sequential Token Selection for Whole Slide Pathology Wsi-vqa: Interpreting whole slide images by generative visual question answering

Reference 50

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source=pdf_text observed=2026-07-30T17:15:35.013536Z digest=sha256:0f59482f9663b564de0eb892fa6f0ac8e0e0191cdf3f9280f96aa54c4ad3a8af

Observation 08847522-c34b-4e59-82e9-e35a39c32fff · outbound

This paper cites Llava-med: Training a large language-and-vision assistant for biomedicine in one day.Advances in Neural Information Processing Systems, 36:28541–28564, 2023.

PathSelect: Sequential Token Selection for Whole Slide Pathology Llava-med: Training a large language-and-vision assistant for biomedicine in one day.Advances in Neural Information Processing Systems, 36:28541–28564, 2023

Reference 51

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source=pdf_text observed=2026-07-30T17:15:35.017469Z digest=sha256:5fe064398d2928e6c1f209f30cdfa9425021f96729c247bf0464125b019cfd6a

Observation 8143a059-8863-4c64-b865-2aa3866c490b · outbound

This paper cites Quilt-llava: Visual instruction tuning by extracting localized narratives from open-source histopathology videos.

PathSelect: Sequential Token Selection for Whole Slide Pathology Quilt-llava: Visual instruction tuning by extracting localized narratives from open-source histopathology videos

Reference 52

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source=pdf_text observed=2026-07-30T17:15:35.021240Z digest=sha256:20ca44b3654810f694d8ca5a0c8242628edddc7061e8fd7990f2bbaf61c2a55f

Observation cbaa40b7-f1fe-4f7f-85c2-4d7f38beff23 · outbound

This paper cites GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration.

PathSelect: Sequential Token Selection for Whole Slide Pathology GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration

Reference 53

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source=pdf_text observed=2026-07-30T17:15:35.025610Z digest=sha256:347e07e92db3da6d761d0583d928e630bc7a556cd01950b777443e181db91292

Observation 3b943081-3dca-4ef8-9978-77b3b63b1063 · outbound

This paper cites GPT-4o System Card.

PathSelect: Sequential Token Selection for Whole Slide Pathology GPT-4o System Card

Reference 54

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source=pdf_text observed=2026-07-30T17:15:35.029890Z digest=sha256:8ef405e6cfae18d9e9435c3ba549b7edd75a43c7e79415fe54d499229b46731f

Pith citing papers

Observation 00836b36-0e4f-4756-8dee-4246054c7f18 · inbound

DiffPrune: differentiable information throttling for token pruning in vision-language models cites this paper.

DiffPrune: differentiable information throttling for token pruning in vision-language models PathSelect: Sequential Token Selection for Whole Slide Pathology

Reference 76

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source=pdf_text observed=2026-08-04T17:18:16.474432Z digest=sha256:d78930905b7e4c89a3d8dc45dbf091ddbe617ad4f6a90cd93cb69b1848ef7629