Pith. sign in

Paper Citation Record · LEDGER

Efficient Whole Slide Image Classification through Fisher Vector Representation

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2411.08530.

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

pith.paper-citation-record.v1
2411.08530 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:35:09.781131Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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 exact2
  • verified fuzzy17
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9517045d-c6bf-4f14-ace4-48b4e86ade93 · outbound

This paper cites Deep fisher vector coding for whole slide image classification.

Efficient Whole Slide Image Classification through Fisher Vector Representation Deep fisher vector coding for whole slide image classification

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.990598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.707524Z digest=sha256:230965a5b85e234b458eafa331bd82bf03b22b007e759fa84e105fd534836091

Observation 91f7aaf1-a95f-4327-887e-3258bb932567 · outbound

This paper cites Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning.

Efficient Whole Slide Image Classification through Fisher Vector Representation Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:09.710831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:35:09.710831Z digest=sha256:fdba91af5b481321ee46b3ce7fcc3bb276e9dfadbd3fdb79228b2b5f300dddd7

Observation 6f3b733f-2a49-4a1f-9019-42a4926513a3 · outbound

This paper cites Egfr mutation prediction of lung biopsy images using deep learning.

Efficient Whole Slide Image Classification through Fisher Vector Representation Egfr mutation prediction of lung biopsy images using deep learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:09.713639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:35:09.713639Z digest=sha256:d5896b155a6c1b71049eaf887b0ba6d363c0d9d9d73eab831aabc46212eabcd1

Observation 04d6105c-5a43-4d3c-a2a5-0e6ddb518f4f · outbound

This paper cites From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge.

Efficient Whole Slide Image Classification through Fisher Vector Representation From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:09.716511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:35:09.716511Z digest=sha256:d3122b5190ec1911db33a5b1d7a0e31d2cde93c30f33e50792e932b5a4a68270

Observation 0741606c-931b-43f2-8548-1a0113b795a4 · outbound

This paper cites Deep learning for whole slide image analysis: an overview.

Efficient Whole Slide Image Classification through Fisher Vector Representation Deep learning for whole slide image analysis: an overview

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.971086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.719399Z digest=sha256:0e6a61d74885e1b952f399c21680008a2c7c3638ce8ba0fed14735634ca59372

Observation 1d42bce7-f5f8-45c8-8360-e422fb7de17f · outbound

This paper cites Artificial intelligence in digital breast pathology: techniques and applications.

Efficient Whole Slide Image Classification through Fisher Vector Representation Artificial intelligence in digital breast pathology: techniques and applications

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.963351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.722269Z digest=sha256:1e9ea919a0f5e1c1271e90f9ef3fa9b13eb1df93c513e449d5b4128429865bbb

Observation 44d5527e-a5b5-40dc-969c-e8440ea65dc8 · outbound

This paper cites Patch-based convolutional neural network for whole slide tissue image classification.

Efficient Whole Slide Image Classification through Fisher Vector Representation Patch-based convolutional neural network for whole slide tissue image classification

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.955207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.725169Z digest=sha256:b6b70a0ac4c75b4e28235f14d7cbb08759a511ea5b26a130f0cc2deac7f90209

Observation 63edec90-9329-4f7f-a7e9-dcf0ec747855 · outbound

This paper cites Monte-carlo sampling applied to multiple instance learning for histological image classification.

Efficient Whole Slide Image Classification through Fisher Vector Representation Monte-carlo sampling applied to multiple instance learning for histological image classification

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.947201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.727922Z digest=sha256:eaa5633f235cd20d2a19895090392a05310e11004cef54daa1ce21a959d1fb0d

Observation 1e80d1cf-46b8-4d91-9a78-5b7a77b11d37 · outbound

This paper cites DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on Attention.

Efficient Whole Slide Image Classification through Fisher Vector Representation DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on Attention

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-12T21:35:09.819698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.730591Z digest=sha256:941a2b1a9ac2a307036aead862a2a19cbb22a38851fc41ab719ec201f3f17396

Observation b71282a6-9c0d-4a2b-bc1e-7e82eb04cf0b · outbound

This paper cites Rectified cross-entropy and upper transition loss for weakly supervised whole slide image classifier.

Efficient Whole Slide Image Classification through Fisher Vector Representation Rectified cross-entropy and upper transition loss for weakly supervised whole slide image classifier

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.939639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.733814Z digest=sha256:5f1c06f19175111e043d3cfb6804b5823d67f6155184cef8225100a77e41fcbe

Observation d68ced20-39a8-48d3-8e9a-69fef2d06df4 · outbound

This paper cites Learning deep features for discriminative localization.

Efficient Whole Slide Image Classification through Fisher Vector Representation Learning deep features for discriminative localization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:09.736386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:35:09.736386Z digest=sha256:9379058ea0eb44b7945cd7344d8d56b47ecce23b1adcd283711f4be43683639c

Observation 30d2b614-ac7a-48cd-812d-d11240282709 · outbound

This paper cites Weldon: Weakly supervised learning of deep convolutional neural networks.

Efficient Whole Slide Image Classification through Fisher Vector Representation Weldon: Weakly supervised learning of deep convolutional neural networks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.927765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.738802Z digest=sha256:f3f1cfb1228ae6ce518e2184ac73e6374ec263d5690df55ae2b41d123e17223f

Observation 18acbed2-1af5-4a8f-8a20-0252ef1ae0e6 · outbound

This paper cites Wildcat: Weakly supervised learning of deep convnets for image classification, pointwise localization and segmentation.

Efficient Whole Slide Image Classification through Fisher Vector Representation Wildcat: Weakly supervised learning of deep convnets for image classification, pointwise localization and segmentation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.920083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.741337Z digest=sha256:2ada0fa02571fde65a6466af6b88a4b033a79225fbb14aeb078b52c96bdb1672

Observation fca2efe4-581c-4e53-a04a-abc4df947dc2 · outbound

This paper cites Multiple instance learning for heterogeneous images: Training a cnn for histopathology.

Efficient Whole Slide Image Classification through Fisher Vector Representation Multiple instance learning for heterogeneous images: Training a cnn for histopathology

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.911935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.743955Z digest=sha256:235ecb2ee84fc436fc903ec15d6625691d86177f15cc5f5c84f65b401c2913c1

Observation 11220d31-25c4-48a0-aa24-c8d36aa00439 · outbound

This paper cites Convolutional networks with dense connectivity.

Efficient Whole Slide Image Classification through Fisher Vector Representation Convolutional networks with dense connectivity

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.904359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.746570Z digest=sha256:967818d9f72d8ba44573611d71a9f618bad59b0585d444630598eb4d96e49e21

Observation 9c4d9e7b-7c60-457e-95cb-bd44b8b10523 · outbound

This paper cites Attention-challenging multiple instance learning for whole slide image classification, 2024.

Efficient Whole Slide Image Classification through Fisher Vector Representation Attention-challenging multiple instance learning for whole slide image classification, 2024

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.896686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.749005Z digest=sha256:f8a4e1dfaf60f1906bd6e042502f3064e3b3083627178696e11e0c634fa3f082

Observation 563ebd30-52dc-440a-ac12-026689d95901 · outbound

This paper cites Prompt-guided adaptive model transformation for whole slide image classification, 2024.

Efficient Whole Slide Image Classification through Fisher Vector Representation Prompt-guided adaptive model transformation for whole slide image classification, 2024

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.888660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.751505Z digest=sha256:b3888e6ce670c9773250c98df3c04d21d472e4450fe7ca056955a06ffc36ec1c

Observation c46f6a79-a290-4afc-8aa6-34aa731160ba · outbound

This paper cites Pathology-knowledge enhanced multi-instance prompt learning for few-shot whole slide image classification, 2024.

Efficient Whole Slide Image Classification through Fisher Vector Representation Pathology-knowledge enhanced multi-instance prompt learning for few-shot whole slide image classification, 2024

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.880832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.753945Z digest=sha256:cba9b84b145e4240d8e804435d4fd73a37787c68edb3fd3452603cac6ce11098

Observation 7997b9c7-4097-44ae-895a-40f1f5e86ec5 · outbound

This paper cites Data- efficient and weakly supervised computational pathology on whole-slide images.

Efficient Whole Slide Image Classification through Fisher Vector Representation Data- efficient and weakly supervised computational pathology on whole-slide images

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:09.756470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:35:09.756470Z digest=sha256:9b0203ae272c7198881515d47df8e01bccf1b648c161a5546d53a9ecfdb48981

Observation ff8a66b6-bf1b-4347-a84a-b49beccaa475 · outbound

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

Efficient Whole Slide Image Classification through Fisher Vector Representation Improving the fisher kernel for large-scale image classification

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.868793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.758937Z digest=sha256:187ba0c9fad646cf01b9302f34bbe0667be5b0fd3e712f63a7491057d8647663

Observation 7a5c45dc-627f-4eab-ab57-c7a05ef41ee1 · outbound

This paper cites Efficient quality control of whole slide pathology images with human-in-the-loop training.

Efficient Whole Slide Image Classification through Fisher Vector Representation Efficient quality control of whole slide pathology images with human-in-the-loop training

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:09.761782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:35:09.761782Z digest=sha256:f321452bd8bcfe2cf55a834af4ae7e23bf78e9a69e0b3bb2323570cc614c8695

Observation 1a632061-9a87-4b14-bc88-acd352a2a25b · outbound

This paper cites https://github.com/DigitalSlideArchive/HistomicsTK.

Efficient Whole Slide Image Classification through Fisher Vector Representation https://github.com/DigitalSlideArchive/HistomicsTK

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:09.765458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:35:09.765458Z digest=sha256:b68cbaa284b2ca8589bb4779775dadc1c5b70983a6f7072ff4a40246af541957

Observation e97be5ac-f9f4-4961-ad21-acc799f47917 · outbound

This paper cites Enhanced bag of visual words representations for content based image retrieval: a comparative study.

Efficient Whole Slide Image Classification through Fisher Vector Representation Enhanced bag of visual words representations for content based image retrieval: a comparative study

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.853306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.768050Z digest=sha256:c749f9c0ee5dd9a4c817f6e1952d5efc448184942d1c9837160469accb33da8b

Observation 4ee8c0f4-1ced-4a1f-a056-d52d11d4a45e · outbound

This paper cites Understanding the Fisher Vector: a multimodal part model.

Efficient Whole Slide Image Classification through Fisher Vector Representation Understanding the Fisher Vector: a multimodal part model

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-12T21:35:09.808957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.770685Z digest=sha256:6c69f232d292e24ac68e2edaef0eb1575e0412d708158832cf7050e5c0169e5e

Observation b0c5ec44-2691-44b6-9708-8a330f6cd8db · outbound

This paper cites Deep residual learning for image recognition.

Efficient Whole Slide Image Classification through Fisher Vector Representation Deep residual learning for image recognition

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:09.773459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:35:09.773459Z digest=sha256:51eb8b0669316b9f1ea15539bb27e9c2684c30c53e7808436dc032f30b6e4636

Observation 42f5e008-a743-4e64-9e4f-34fdd2a9e8e3 · outbound

This paper cites Searching for mobilenetv3.

Efficient Whole Slide Image Classification through Fisher Vector Representation Searching for mobilenetv3

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.841163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.775965Z digest=sha256:6f675ebdf1588ee07f18e42c67b6e711fa1e3768263ed9c71b8cf12aec5dd8f0

Observation 7c63b7b8-6ec1-4987-9483-e575b0528318 · outbound

This paper cites Imagenet large scale visual recognition challenge.International journal of computer vision, 115:211–252, 2015.

Efficient Whole Slide Image Classification through Fisher Vector Representation Imagenet large scale visual recognition challenge.International journal of computer vision, 115:211–252, 2015

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:09.778641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:35:09.778641Z digest=sha256:237889e46578b1e8e6959f83a3947b41da81dd8424459a8442b1e6bafee7033f

Observation 6b08714b-08b5-4351-a2f1-9d1365d0a591 · outbound

This paper cites 1399 h&e-stained sentinel lymph node sections of breast cancer patients: the camelyon dataset.

Efficient Whole Slide Image Classification through Fisher Vector Representation 1399 h&e-stained sentinel lymph node sections of breast cancer patients: the camelyon dataset

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:09.827938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:35:09.781131Z digest=sha256:2b973f0375438a1136810f5d7167671dd10dcfba32a48187fab8d90d4a273356

Pith citing papers

No inbound Pith citation observations are available.