Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:42:11.540103Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:42:11.540103Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
48 of 48 outbound references displayed
External citation measurements
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Observation c38c282b-ecd5-4bbc-875b-c6c77d26af93 · outbound
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Hosseini
Reference 1
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Observation 8c45009e-8e55-40e4-a697-35583966ac51 · outbound
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Tizhoosh
Reference 2
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Observation 10c297dd-c8d1-4821-82b3-2e6dc7ab1148 · outbound
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
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
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
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Unresolved cited work
Reference 6
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Observation 8db5d9be-f60b-4ea1-9f19-baf2dbc7bc35 · outbound
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Chen, Ming Y
Reference 7
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Observation 38152ec6-d90c-4cd9-98b7-88d92714ada5 · outbound
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Chen, Chengkuan Chen, Yicong Li, Tiffany Y
Reference 8
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Observation 2da36469-b276-4f23-8ba0-195d658942a0 · outbound
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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Observation f3dc0887-9cb7-4711-b048-4735af410f13 · outbound
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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Observation 9fde5761-dae3-415e-ac95-23a4ae47c802 · outbound
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
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
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
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Unresolved cited work
Reference 14
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Observation 0ec12099-2bad-4455-a73d-0c44b6c676fa · outbound
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
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
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Neighborhood attention transformer
Reference 17
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Observation 48d30b78-f0bc-4ab6-ad95-7220739ed499 · outbound
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
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
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Unresolved cited work
Reference 20
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Observation 3a6f2610-497f-4bf5-aa5f-e5b2245ca525 · outbound
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
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
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Eliceiri
Reference 23
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Observation aedab7bc-cb06-43bf-ae0a-46382ad3e2b0 · outbound
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
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
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
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
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
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
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
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
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Unresolved cited work
Reference 32
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Observation 4edca1ff-6af5-4421-bfeb-b13df286c97e · outbound
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
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
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
Gated Spatial Redundancy Projection for Pathology Transformer Attentions MedGemma Technical Report
Reference 36
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Observation 6e33d691-f50b-4b33-b18a-9f7cb03f08e2 · outbound
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
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Going deeper with image transformers
Reference 38
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Observation cfb493e3-8af1-4d8d-88fd-74dccf53cd99 · outbound
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Unresolved cited work
Reference 39
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Observation 69618607-f6bd-4685-8c33-17534dada923 · outbound
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
Reference 40
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Observation 201060ae-99f9-4ccd-8666-2e20ee46c14b · outbound
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Attention is all you need
Reference 41
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Observation 579fc0c4-cf5e-4bf4-9efb-4d7b41a2d089 · outbound
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Hosseini
Reference 42
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Observation b95463b8-59bb-4d4b-b5ce-a5bf070b9c42 · outbound
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Dif- ferential transformer
Reference 43
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Observation 67d9e8f0-0705-4935-92f8-526d0fd646f5 · outbound
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Wright, Ari Ro- bicsek, Brian Piening, Carlo Bifulco, Sheng Wang, and Hoifung Poon
Reference 44
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Observation a0022df3-9064-4ad9-9921-30aa81143150 · outbound
Gated Spatial Redundancy Projection for Pathology Transformer Attentions bhnt,ht->bhn
Reference 46
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Observation 2bb7c872-be3d-4026-86ab-56f3d9acc387 · outbound
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Exclusive self attention, 2026
Reference 47
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Observation 6c4654a1-86a0-490d-8266-ea63b212a621 · outbound
Gated Spatial Redundancy Projection for Pathology Transformer Attentions 20Y ANG ET AL.: GA TED SPA TIAL REDUNDANCY PROJECTION
Reference 2017
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Observation a2f495e5-70b1-4a02-b3c9-e02b5ee10ddf · outbound
Gated Spatial Redundancy Projection for Pathology Transformer Attentions Unresolved cited work
Reference 2021
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No inbound Pith citation observations are available.