Paper Citation Record · LEDGER

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology

As of 13 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2501.17822.

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

pith.paper-citation-record.v1
2501.17822 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:35:00.841122Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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 exact0
verified fuzzy19
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3fbbdc0c-23b4-4650-9996-8395c6043a9a · outbound

This paper cites On image search in histopathology.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology On image search in histopathology

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:01.208450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8802411c-aaee-4d3e-b2d5-62a1a44b76ba · outbound

This paper cites Shah, Joaquin J.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Shah, Joaquin J

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:01.196588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 09f18017-eba6-4e81-828f-ef4001261d5f · outbound

This paper cites Yottixel–an image search engine for large archives of histopathology whole slide images.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Yottixel–an image search engine for large archives of histopathology whole slide images

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:01.184552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fc8d452a-2abc-47c1-bc3c-5f2443f3981e · outbound

This paper cites Deep sets.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Deep sets

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T04:35:00.753139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06282726-8665-4a1c-921e-b61a6a8db11d · outbound

This paper cites Learn- ing permutation invariant representations using memory networks.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Learn- ing permutation invariant representations using memory networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:01.166763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b6f0c464-3454-4f77-b4a7-6f6265d899bd · outbound

This paper cites Pay attention with focus: A novel learning scheme for classification of whole slide images.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Pay attention with focus: A novel learning scheme for classification of whole slide images

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:01.156149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4f2ffa2f-f989-41b6-aa39-7dd98fe8e7f9 · outbound

This paper cites Representation learn- ing of histopathology images using graph neural networks.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Representation learn- ing of histopathology images using graph neural networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:01.144399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0089070a-3c2f-4c2a-8b18-7049a79cd566 · outbound

This paper cites Exploiting generative models in discrim- inative classifiers.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Exploiting generative models in discrim- inative classifiers

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:01.133242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 917b9d24-6b75-4b39-8b66-ae8f79a5605f · outbound

This paper cites Fisher kernels on visual vocabularies for image categorization.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Fisher kernels on visual vocabularies for image categorization

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:01.121546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 92fc2ee5-2250-46e1-ac42-d584689bec70 · outbound

This paper cites Learning bi- nary and sparse permutation-invariant representations for fast and memory effi- cient whole slide image search.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Learning bi- nary and sparse permutation-invariant representations for fast and memory effi- cient whole slide image search

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:01.109423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d828f826-19c1-4360-9cf2-9edfd52f47fc · outbound

This paper cites Visual categorization with bags of keypoints.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Visual categorization with bags of keypoints

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:01.098113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6635608f-b22b-40bf-863d-dd6faf988a6e · outbound

This paper cites Cnn and deep sets for end-to-end whole slide image repre- sentation learning.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Cnn and deep sets for end-to-end whole slide image repre- sentation learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:01.086116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cc63ddfd-31b7-4b40-8abb-b4828549f4a3 · outbound

This paper cites Attention-based deep multiple instance learning.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Attention-based deep multiple instance learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:01.073596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6202ff18-e341-4f77-9c29-e203c94ae4ec · outbound

This paper cites Deep quantization: Encoding convolutional activations with deep generative model.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Deep quantization: Encoding convolutional activations with deep generative model

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:01.061345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c7d825cf-d1a0-417c-b0bb-8766869a51e0 · outbound

This paper cites Adver- sarial fisher vectors for unsupervised representation learning.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Adver- sarial fisher vectors for unsupervised representation learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:01.050120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a8ee3d51-43e5-40f9-b082-aafa8d885d47 · outbound

This paper cites Improving the fisher kernel for large-scale image classification.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Improving the fisher kernel for large-scale image classification

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:01.037921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 26485cb6-5909-4506-9ddb-03a073944aa1 · outbound

This paper cites A whole-slide foundation model for digital pathology from real-world data.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology A whole-slide foundation model for digital pathology from real-world data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:01.026259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bdfc2054-3ac0-4ecb-b118-a9e5cec131ac · outbound

This paper cites PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T04:35:00.804135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb0b55b8-34f2-4f2c-881f-8a82c130e5f8 · outbound

This paper cites A pathology foundation model for cancer diagnosis and prognosis prediction.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology A pathology foundation model for cancer diagnosis and prognosis prediction

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T04:35:00.808056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c17983a-857e-4759-b860-8e6bdea7529c · outbound

This paper cites Molecular-driven Foundation Model for Oncologic Pathology.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Molecular-driven Foundation Model for Oncologic Pathology

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T04:35:00.812410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07c9a889-5b9a-4c20-8787-86adc2506dce · outbound

This paper cites Validation of histopathology foundation models through whole slide image retrieval.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Validation of histopathology foundation models through whole slide image retrieval

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T04:35:00.816328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abc2c8dd-fef7-4df7-9e99-614f0c9b9f36 · outbound

This paper cites Current Pathology Foundation Models are unrobust to Medical Center Differences.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Current Pathology Foundation Models are unrobust to Medical Center Differences

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T04:35:00.819816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1580cde7-070f-40d0-b757-4f85aeae03aa · outbound

This paper cites Are the Latent Representations of Foundation Models for Pathology Invariant to Rotation?.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Are the Latent Representations of Foundation Models for Pathology Invariant to Rotation?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T04:35:00.823419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3ef5d51-f1a7-4d11-8b87-451260c5edbb · outbound

This paper cites Foundation models–a panacea for artificial intelligence in pathol- ogy? arXiv preprint arXiv:2502.21264 , 2025.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Foundation models–a panacea for artificial intelligence in pathol- ogy? arXiv preprint arXiv:2502.21264 , 2025

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T04:35:00.827168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 831afe16-d53c-478c-887e-9a9d42b10479 · outbound

This paper cites Densely connected convolutional networks.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Densely connected convolutional networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T04:35:00.831348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62319132-59ab-4d85-9003-2aaf5c2877c1 · outbound

This paper cites Artificial intelligence and digital pathology: challenges and opportunities.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Artificial intelligence and digital pathology: challenges and opportunities

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:00.995286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 28ea4cd9-83e3-4887-81d9-23e7b95db2a8 · outbound

This paper cites Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases.Journal of pathol- ogy informatics, 7, 2016.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases.Journal of pathol- ogy informatics, 7, 2016

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:00.983575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ef3e025e-3a92-40a6-b943-0c56195fc943 · outbound

This paper cites Image classification with the fisher vector: Theory and practice.

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology Image classification with the fisher vector: Theory and practice

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:35:00.971239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.