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Paper Citation Record · LEDGER

Gated Spatial Redundancy Projection for Pathology Transformer Attentions

As of 18 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2608.08374.

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

pith.paper-citation-record.v1
2608.08374 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:42:11.540103Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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  • unresolved48
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External citation measurements

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Outbound references

Observation c38c282b-ecd5-4bbc-875b-c6c77d26af93 · outbound

This paper cites Hosseini.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Hosseini

Reference 1

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Observation 8c45009e-8e55-40e4-a697-35583966ac51 · outbound

This paper cites Tizhoosh.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Tizhoosh

Reference 2

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Observation 10c297dd-c8d1-4821-82b3-2e6dc7ab1148 · outbound

This paper cites Token Merging: Your ViT But Faster.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Token Merging: Your ViT But Faster

Reference 3

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Observation 44ec8063-cebe-43df-bf09-068aa6372e7b · outbound

This paper cites Bracs: A dataset for breast carcinoma subtyping in h&e histology images.Database, 2022:baac093, 01 2022.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Bracs: A dataset for breast carcinoma subtyping in h&e histology images.Database, 2022:baac093, 01 2022

Reference 4

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Observation 365c23af-37e1-47c8-b707-7dc973e0c17a · outbound

This paper cites Steiner, Hester van Boven, Robert Vink, Christina Hulsbergen-van de Kaa, Jeroen van der Laak, Mahul B.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Steiner, Hester van Boven, Robert Vink, Christina Hulsbergen-van de Kaa, Jeroen van der Laak, Mahul B

Reference 5

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Observation 79b3dd8a-b9e7-4a10-b6ca-aa7aa72b0d13 · outbound

This paper cites an unresolved cited work.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Unresolved cited work

Reference 6

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Observation 8db5d9be-f60b-4ea1-9f19-baf2dbc7bc35 · outbound

This paper cites Chen, Ming Y.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Chen, Ming Y

Reference 7

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source=pdf_text observed=2026-08-14T04:42:10.630336Z digest=sha256:356711d897339e64e3ba9b07517926ccee8c55e97aefa22099b005162e0db290

Observation 38152ec6-d90c-4cd9-98b7-88d92714ada5 · outbound

This paper cites Chen, Chengkuan Chen, Yicong Li, Tiffany Y.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Chen, Chengkuan Chen, Yicong Li, Tiffany Y

Reference 8

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source=pdf_text observed=2026-08-14T04:42:10.655007Z digest=sha256:a8d2bbfd7607a04db3fdbf2aa8372874429ab3f06b0ea6a5cde557105ea179c6

Observation 2da36469-b276-4f23-8ba0-195d658942a0 · outbound

This paper cites Towards a general-purpose foundation model for computational pathology.Na- ture Medicine, 2024.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Towards a general-purpose foundation model for computational pathology.Na- ture Medicine, 2024

Reference 9

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source=pdf_text observed=2026-08-14T04:42:10.668028Z digest=sha256:31ae063afe35e3c57630fe3bc15769943fba01ac00c4aa4c5a6acb4935a5a350

Observation f3dc0887-9cb7-4711-b048-4735af410f13 · outbound

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

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Tc-ssa: Token compression via semantic slot aggregation for gigapixel pathology reasoning, 2026

Reference 10

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source=pdf_text observed=2026-08-14T04:42:10.680608Z digest=sha256:20b0f270f52e8cc09432fdbf76b921368dcb7e7bad8e40be064371765d4d7a80

Observation 9fde5761-dae3-415e-ac95-23a4ae47c802 · outbound

This paper cites Convit: Improving vision transformers with soft convolutional in- ductive biases.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Convit: Improving vision transformers with soft convolutional in- ductive biases

Reference 11

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Observation f1c790b3-501e-4bb5-94d5-6215ceedefe9 · outbound

This paper cites A multimodal whole-slide foundation model for pathology.Nature Medicine, pages 1–13, 2025.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions A multimodal whole-slide foundation model for pathology.Nature Medicine, pages 1–13, 2025

Reference 12

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Observation e0dd4512-0106-4dd1-b0d4-ed9a842af947 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.ICLR, 2021.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions An image is worth 16x16 words: Trans- formers for image recognition at scale.ICLR, 2021

Reference 13

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Observation 4f94de52-16ac-4000-a1db-5c73217247e1 · outbound

This paper cites an unresolved cited work.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Unresolved cited work

Reference 14

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Observation 0ec12099-2bad-4455-a73d-0c44b6c676fa · outbound

This paper cites Understanding the difficulty of training deep feed- forward neural networks.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Understanding the difficulty of training deep feed- forward neural networks

Reference 15

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Observation 9b07ec2d-a872-4afa-a09e-f377c2272895 · outbound

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

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Focus: Knowledge-enhanced adaptive visual compression for few- shot whole slide image classification

Reference 16

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Observation bcaf15cd-1c46-4577-86d9-b97e9400d52b · outbound

This paper cites Neighborhood attention transformer.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Neighborhood attention transformer

Reference 17

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Observation 48d30b78-f0bc-4ab6-ad95-7220739ed499 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Delving deep into rectifiers: Surpassing human-level performance on imagenet classification

Reference 18

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Observation a4b9ea2e-9a2d-4a18-b8e2-9637b75756a0 · outbound

This paper cites Hosseini, Lyndon Chan, Gabriel Tse, Michael Tang, Jun Deng, Sajad Norouzi, Corwyn Rowsell, Konstantinos N.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Hosseini, Lyndon Chan, Gabriel Tse, Michael Tang, Jun Deng, Sajad Norouzi, Corwyn Rowsell, Konstantinos N

Reference 19

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Observation 11c7315d-d407-494f-a624-1298c199d362 · outbound

This paper cites an unresolved cited work.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Unresolved cited work

Reference 20

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Observation 3a6f2610-497f-4bf5-aa5f-e5b2245ca525 · outbound

This paper cites Integral transformer: Denoising attention, not too much not too little.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Integral transformer: Denoising attention, not too much not too little

Reference 21

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Observation 8b8721fa-3a42-4d83-86ea-9ca09801decc · outbound

This paper cites MOOZY: A Patient-First Foundation Model for Computational Pathology.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions MOOZY: A Patient-First Foundation Model for Computational Pathology

Reference 22

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Observation 72c6f761-110d-4823-9505-c0daf54150d3 · outbound

This paper cites Eliceiri.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Eliceiri

Reference 23

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Observation aedab7bc-cb06-43bf-ae0a-46382ad3e2b0 · outbound

This paper cites Pathvq: Reforming computational pathology foundation model for whole slide image analysis via vector quantization.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Pathvq: Reforming computational pathology foundation model for whole slide image analysis via vector quantization

Reference 24

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Observation fa5b4ddb-4ea0-4671-a9ef-2684849bd992 · outbound

This paper cites Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations

Reference 25

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Observation 892fd050-b981-409e-a3ef-4a8bbd7f5d59 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted win- dows.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Swin transformer: Hierarchical vision transformer using shifted win- dows

Reference 26

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Observation 5715e16c-06f5-4577-b472-66bddeed54fb · outbound

This paper cites Decoupled weight decay regularization.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Decoupled weight decay regularization

Reference 27

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Observation 72480af1-4156-4749-b380-045655dd20b7 · outbound

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

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Data-efficient and weakly supervised computational pathology on whole-slide images.Nature Biomedical Engineering, 5(6):555–570, 2021

Reference 28

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Observation aa38ea8c-6bee-437a-b499-e804de27d636 · outbound

This paper cites A visual- language foundation model for computational pathology.Nature Medicine, 30:863—- 874, 2024.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions A visual- language foundation model for computational pathology.Nature Medicine, 30:863—- 874, 2024

Reference 29

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Observation 084c0252-396a-4fda-8291-b0c99093a5a9 · outbound

This paper cites More Expressive Attention with Negative Weights.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions More Expressive Attention with Negative Weights

Reference 30

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Observation 96e9d45c-f6ab-4d8b-a078-1d89a586af07 · outbound

This paper cites Differential gated self- attention, 2025.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Differential gated self- attention, 2025

Reference 31

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Observation 4aa45402-144e-41ee-abfd-a8c69271beee · outbound

This paper cites an unresolved cited work.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Unresolved cited work

Reference 32

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Observation 4edca1ff-6af5-4421-bfeb-b13df286c97e · outbound

This paper cites The Cancer Genome Atlas Program (TCGA).https: //www.cancer.gov/ccg/research/genome-sequencing/tcga.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions The Cancer Genome Atlas Program (TCGA).https: //www.cancer.gov/ccg/research/genome-sequencing/tcga

Reference 33

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Observation d724ad46-0254-4847-bc02-bf60d0c66dd7 · outbound

This paper cites Dynamicvit: Efficient vision transformers with dynamic to- ken sparsification.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Dynamicvit: Efficient vision transformers with dynamic to- ken sparsification

Reference 34

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Observation d0bf40bf-a9ea-4d8f-bcc7-5237f5c2718f · outbound

This paper cites TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 35

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Observation 1cd776d5-5ad5-4bdf-8668-7da6df0ab558 · outbound

This paper cites MedGemma Technical Report.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions MedGemma Technical Report

Reference 36

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Observation 6e33d691-f50b-4b33-b18a-9f7cb03f08e2 · outbound

This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide image classification.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Transmil: Transformer based correlated multiple instance learning for whole slide image classification

Reference 37

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Observation c45e854c-ff27-4ab0-803f-781fe5e930cd · outbound

This paper cites Going deeper with image transformers.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Going deeper with image transformers

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Gated Spatial Redundancy Projection for Pathology Transformer Attentions Unresolved cited work

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This paper cites Nyströmformer: A nyström-based algorithm for approxi- mating self-attention.Proceedings of the AAAI Conference on Artificial Intelligence, 35(16):14138–14148, May 2021.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Nyströmformer: A nyström-based algorithm for approxi- mating self-attention.Proceedings of the AAAI Conference on Artificial Intelligence, 35(16):14138–14148, May 2021

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This paper cites Attention is all you need.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Attention is all you need

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Gated Spatial Redundancy Projection for Pathology Transformer Attentions Hosseini

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Gated Spatial Redundancy Projection for Pathology Transformer Attentions Dif- ferential transformer

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

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Wright, Ari Ro- bicsek, Brian Piening, Carlo Bifulco, Sheng Wang, and Hoifung Poon

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This paper cites bhnt,ht->bhn.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions bhnt,ht->bhn

Reference 46

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This paper cites Exclusive self attention, 2026.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions Exclusive self attention, 2026

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This paper cites 20Y ANG ET AL.: GA TED SPA TIAL REDUNDANCY PROJECTION.

Gated Spatial Redundancy Projection for Pathology Transformer Attentions 20Y ANG ET AL.: GA TED SPA TIAL REDUNDANCY PROJECTION

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Gated Spatial Redundancy Projection for Pathology Transformer Attentions Unresolved cited work

Reference 2021

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