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Paper Citation Record · LEDGER

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer

As of 24 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 4 inbound Pith citation observations for arXiv:2501.01392.

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

pith.paper-citation-record.v1
2501.01392 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:32:05.273502Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:07:21.675246Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:03:38.917881Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact1
  • verified fuzzy21
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1907af6-54d6-4187-bb26-5875bcc9347d · outbound

This paper cites Epidemiology of prostate cancer,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Epidemiology of prostate cancer,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.864515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.095074Z digest=sha256:6d198225af139d08721b6b753405126a3b39e9c3d34a573234353d2db6e3267a

Observation ec95242b-ca0c-4720-82be-ff349625505f · outbound

This paper cites The utility of magnetic resonance imaging in prostate cancer diagnosis in the australian setting,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer The utility of magnetic resonance imaging in prostate cancer diagnosis in the australian setting,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.850366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.100605Z digest=sha256:f9954c26c8e11530563a7b5eb69e3280c66cb293b4fa5f804b9cafc284db8a2e

Observation 3359ff0f-5795-4324-a365-f707ddede952 · outbound

This paper cites Diffusion-weighted imaging in prostate cancer,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Diffusion-weighted imaging in prostate cancer,

Reference 3

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raw_fallback, observed 2026-08-10T22:32:05.835772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.105292Z digest=sha256:2d139bb0a078a3488a3ee87860b23600d0d66daf134eb3cf1a7065ec9f24401a

Observation d32b4236-bf5f-4695-a22e-2f51442fb360 · outbound

This paper cites Tumor area highlighting using t2wi, adc map, and dwi sequence fusion on bpmri images for better prostate cancer diagnosis,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Tumor area highlighting using t2wi, adc map, and dwi sequence fusion on bpmri images for better prostate cancer diagnosis,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.820895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.110623Z digest=sha256:dcff67af42cfbc9737cd70bae58ecff052cd41f6d1e59878bb55f7371c740283

Observation 9e43886c-44bb-4e44-85b7-444028a9f09a · outbound

This paper cites Prostate imaging reporting and data system (pi-rads), version 2: a critical look,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Prostate imaging reporting and data system (pi-rads), version 2: a critical look,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.803992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.115381Z digest=sha256:43e0051f5b69eaa752fa29caa2d2afd2530d323286029dcc36fb0b1e704ca2c7

Observation 644e5461-5690-41bc-b3bc-703ee7ac4dcd · outbound

This paper cites Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpmri,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpmri,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.789078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.119962Z digest=sha256:bf849039499e41d264fef45dfc5ad17d25f0a548c483b5eae45eea4a4acf5bc2

Observation 8e8be0d2-974a-4ba8-8224-aed43dc76c6d · outbound

This paper cites Recent advances in explainable artificial intelligence for magnetic resonance imaging,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Recent advances in explainable artificial intelligence for magnetic resonance imaging,

Reference 7

Resolution
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raw_fallback, observed 2026-08-10T22:32:05.774116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.124623Z digest=sha256:3d79f886f98474e59deefbd16b6ac433d005fe7a4b35fec7095deccc766e71dd

Observation f6001b66-30e2-497e-b932-d10c60d1968c · outbound

This paper cites Explaining in style: Training a gan to explain a classifier in stylespace,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Explaining in style: Training a gan to explain a classifier in stylespace,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.758366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.128828Z digest=sha256:4065e9203c7662b4baf140d45be6e7a3736af82bf0fc4ee5e96b4cfdd75f7a62

Observation ac76db07-5634-4bbb-a42b-ba32bb1bdd1b · outbound

This paper cites A style-based generator architecture for generative adversarial networks,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer A style-based generator architecture for generative adversarial networks,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.743952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.133024Z digest=sha256:aad01f1e5a6035481051d2914ed1efacf0be64fdfb39d354dc21c376ac86f0ac

Observation 5c4c7de3-b46a-4bae-be7c-4e568bcae548 · outbound

This paper cites A landmark-based approach for instability predic- tion in distal radius fractures,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer A landmark-based approach for instability predic- tion in distal radius fractures,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.137177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.137177Z digest=sha256:de1aa2c196ec6020d13b137c6b644c7db3dd8e4145dfe47697915edfe3d79006

Observation b3a55c45-6c89-4175-8f6c-b8771902262b · outbound

This paper cites Can rotational thromboelastometry rapidly identify theragnostic targets in isolated traumatic brain injury?,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Can rotational thromboelastometry rapidly identify theragnostic targets in isolated traumatic brain injury?,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.719661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.141688Z digest=sha256:ad8e14e0318a8a6cd6a6cf2ff5745f8496e77aad6fee6010befc944ecb83b8a8

Observation 34d564f5-3829-4bc1-ad7b-1b4e0b83c18c · outbound

This paper cites Jointvit: Modeling oxygen saturation levels with joint supervision on long-tailed octa,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Jointvit: Modeling oxygen saturation levels with joint supervision on long-tailed octa,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.145974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.145974Z digest=sha256:515000fae1917290f6c60e6f3dd0c0a041bfb060064d5d23f394d050686c9ec8

Observation 9a131ef8-3e2a-40bc-8724-f070abf46ede · outbound

This paper cites ESA: Annotation-Efficient Active Learning for Semantic Segmentation.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer ESA: Annotation-Efficient Active Learning for Semantic Segmentation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.150268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.150268Z digest=sha256:5ce1d0a95c34d3feb9e6ba54f1ff80e0f9111b7f2287590e14a94fccf476017b

Observation 89814443-447c-4a67-9cfe-7eaab40eb637 · outbound

This paper cites MedDet: Generative Adversarial Distillation for Efficient Cervical Disc Herniation Detection.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer MedDet: Generative Adversarial Distillation for Efficient Cervical Disc Herniation Detection

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:32:05.427985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.154751Z digest=sha256:7524aa0c8639b28c857d474066ee15998dd215ffb14cd4424560e66e26118e3b

Observation a8be030b-abc8-4117-ba4e-55076d14f7a1 · outbound

This paper cites MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.159451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.159451Z digest=sha256:8c58dd998da43a7c3fd4e666ef1bcc66755729b1c7afdbd84b477071a25894a9

Observation 100751a8-a56c-4f45-a8c8-ef8d717d9f9a · outbound

This paper cites Medical Artificial Intelligence for Early Detection of Lung Cancer: A Survey.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Medical Artificial Intelligence for Early Detection of Lung Cancer: A Survey

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.163988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.163988Z digest=sha256:cdb7fab066c4c61f127491379d5d4aec6151ac9fbb3bab09c813fb7a76a8249c

Observation be5e3154-3d87-4150-826a-481e04f22f34 · outbound

This paper cites Bhsd: A 3d multi-class brain hemorrhage segmentation dataset,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Bhsd: A 3d multi-class brain hemorrhage segmentation dataset,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.168604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.168604Z digest=sha256:b5e192923c366e7998953c7d6dda5569d267fb4ba8d98d0bc0cb40c91ae24b2b

Observation 1337fca3-ec7b-4b8e-a4cc-d5ae71deb034 · outbound

This paper cites Segreg: Segmenting oars by registering mr images and ct annotations,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Segreg: Segmenting oars by registering mr images and ct annotations,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.172926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.172926Z digest=sha256:84393273c3c29c738e235ea8945f220a9b311cc3127a91d8f9b7055fc950be2e

Observation d225f8bd-ef62-40b0-8711-ef2f8f3eb832 · outbound

This paper cites SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.177017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.177017Z digest=sha256:bbada2b9e99b5d8a214fe549ffd3dca3de6d228fa894d842825ad51ccd5d8cfe

Observation 9f05dda8-45d8-42eb-aa3a-0c01b5e6e9ac · outbound

This paper cites Thin-thick adapter: Segmenting thin scans using thick annotations,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Thin-thick adapter: Segmenting thin scans using thick annotations,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.181559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.181559Z digest=sha256:6b39e5583f89ffd66f2e6cafb88e53effa22e26840d85d7cfc58b794065cae92

Observation d9828a6b-8f9a-4f0a-960a-e3fb3d2ddfed · outbound

This paper cites SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.186019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.186019Z digest=sha256:4e874844e244e0ad995f1b3e8163e48f20c018e0c8724689b596a13cc0c9fff7

Observation 18c403a5-1416-4beb-8c83-8c37e7d25eb9 · outbound

This paper cites A deep learning approach to diabetes diagnosis,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer A deep learning approach to diabetes diagnosis,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.190822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.190822Z digest=sha256:148ef82741a43abeddb69025b557d880586a67d2a6238e6cf2a4a98146f8d38e

Observation 78a66356-de26-46c0-9702-ff8f09b86e3c · outbound

This paper cites Efficient Learning With Sine-Activated Low-rank Matrices.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Efficient Learning With Sine-Activated Low-rank Matrices

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.195061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.195061Z digest=sha256:99830be6995b95d1dd34600d3c4e1c13bf93e1bf053ca918d6dec93eca3f5f4f

Observation 1b0c1c93-d727-4ccd-bcaf-36cf8eafef1d · outbound

This paper cites MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.199662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.199662Z digest=sha256:1edbdc25153c5d41e27294a483217f3e0126c76ea8c6a02f2f307badf3e67382

Observation b03de11c-c22e-40c2-aed3-303fb4ce577f · outbound

This paper cites Inception-v3 for flower classi- fication,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Inception-v3 for flower classi- fication,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.656153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.205263Z digest=sha256:4308d848bc34da5491ef5f41d9f0e23b7023350829b3f1edb93d94044efc1ac4

Observation 535ad284-e0bc-462b-94dd-6bdde54130f1 · outbound

This paper cites Transfer learning using vgg-16 with deep convolu- tional neural network for classifying images,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Transfer learning using vgg-16 with deep convolu- tional neural network for classifying images,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.640549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.209571Z digest=sha256:38650388a839680bf4cf146290e8e27b582ed6086a8325fe37b75e25d199fa13

Observation d3b68c52-20ce-4cd0-8c42-6871f33665df · outbound

This paper cites A transfer learning approach for classification of clinical signif- icant prostate cancers from mpmri scans,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer A transfer learning approach for classification of clinical signif- icant prostate cancers from mpmri scans,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.624907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.214324Z digest=sha256:3c2012e431fc53e6f9ad9e0ab314a950f8448a28a173520273bb30c85d1fd726

Observation 4ceed93e-9c76-424b-85f3-89d3a9babd50 · outbound

This paper cites Deep-learning-based artificial intelligence for pi-rads classification to assist multiparametric prostate mri interpretation: a development study,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Deep-learning-based artificial intelligence for pi-rads classification to assist multiparametric prostate mri interpretation: a development study,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.609416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.218975Z digest=sha256:22da639f14f0701cd32bc446e5ee34ede6c6c2851d0e25de513e1030318d8632

Observation 30de12ef-3c48-4d2f-b96f-ae660b8e8afe · outbound

This paper cites [re] explaining in style: Training a gan to explain a classifier in stylespace,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer [re] explaining in style: Training a gan to explain a classifier in stylespace,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.593110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.223975Z digest=sha256:68d8533500faa4b21fe79bffef56d1b9a6446955a6dabf1278ccf775ccdfcb69

Observation cf5a7291-51c3-43cd-8de7-a755178453ef · outbound

This paper cites CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.228684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.228684Z digest=sha256:680071c0c6d7976e56850141510240e671cdbf9d3772fc22c900f3f08ff64646

Observation 2687a0f5-8093-4266-856b-a8ab4d6f8343 · outbound

This paper cites Analyzing and improving the image quality of stylegan,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Analyzing and improving the image quality of stylegan,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.577623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.233365Z digest=sha256:ad0c6f7a7490697fe71c65ce0bf445161542207efe06483550bf57e1b4e76e19

Observation d2cdfd04-6aab-4362-8bcb-66d99e2d12ab · outbound

This paper cites Prostate cancer histology synthesis using stylegan latent space annotation,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Prostate cancer histology synthesis using stylegan latent space annotation,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.560454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.237961Z digest=sha256:982ad9361a8d30d379928c3879c653a7d9db40d9fa863de4cc580f7776c0747d

Observation 4df740c8-0898-4a3e-8fde-06cbc33ee78f · outbound

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

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.544342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.242483Z digest=sha256:13a4d80ebf6b49d900cf06ebf5ae334d4cf22fb8f07d5bcd0ea5b7dd45251984

Observation d84fbf51-acad-468a-9988-72a6193b6e8a · outbound

This paper cites Gen- erative adversarial nets,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Gen- erative adversarial nets,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.528695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.246968Z digest=sha256:cbb8c20238fd2082ed89ef6d3d9e1cd41c500c7fdbd033885a6ab91e649bdd8e

Observation 5a7e1a55-627c-4766-8518-128983ef3801 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer The unreasonable effectiveness of deep features as a perceptual metric,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.251305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.251305Z digest=sha256:79ea37c1fd6ad74ac3d2ef0e54d5c089632d04248face1b1a4d0856b387ee78d

Observation 90f4e838-ecde-4259-941f-2a69e4c16d48 · outbound

This paper cites International society of urological pathology (isup) grading of prostate cancer–an isup consensus on contemporary grading,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer International society of urological pathology (isup) grading of prostate cancer–an isup consensus on contemporary grading,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.504541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.255798Z digest=sha256:b3670e18bed4ac50ecac60760ccf33a20da4c88e88b302af96d7605a8ff8237b

Observation e075de02-b6e9-459d-9bdd-924363e8e2c9 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.260449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.260449Z digest=sha256:6689b84917530e415793b25aaaf5149cec15535df3217964abf3abb5696cd59c

Observation 37c3ecdf-fb0b-49ad-b7ed-60e2bc1483d1 · outbound

This paper cites Deep residual learning for image recognition,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Deep residual learning for image recognition,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.264820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.264820Z digest=sha256:c47fdcbd6fc054fddbd8813d29d3863f37472d45fe42eb48b603159beb7fb95c

Observation ec805b14-987d-469e-b0f6-cd90c8d629a4 · outbound

This paper cites Shufflenet v2: Practical guidelines for efficient cnn architecture design,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Shufflenet v2: Practical guidelines for efficient cnn architecture design,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:05.469476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:32:05.269043Z digest=sha256:8eda582ce33626bb7ba4418e21d9b9f7eaa9fdca42548a8c5089d4c068604da1

Observation cdb6bfcc-0f8c-4849-a387-df277826ec70 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks,.

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer Efficientnet: Rethinking model scaling for convolutional neural networks,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:05.273502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:05.273502Z digest=sha256:f0af91a6127b9574aee61742b67976f250275eea4c097f2dc9325af99c1395b7

Pith citing papers

Observation 08298bfc-4e87-4c32-bf2b-f84487b56a62 · inbound

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction cites this paper.

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T18:19:39.323191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:19:39.323191Z digest=sha256:3d4da85bc7f53835be3615ce38f6bd1f5cac86a58fb3688cb961db561c6e349f

Observation 539dff5b-5e61-4d84-9b21-e178fd3e2974 · inbound

A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation cites this paper.

A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-08T19:33:21.479889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:33:21.479889Z digest=sha256:30c1b8648c320278fed3d8ed825dbb2e8cdd18a818e74b1b26843978c3720e28

Observation 0733ede4-9f2d-43e7-981c-dc326610de5a · inbound

MediAug: Exploring Visual Augmentation in Medical Imaging cites this paper.

MediAug: Exploring Visual Augmentation in Medical Imaging ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T10:07:21.675246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:07:21.675246Z digest=sha256:10e90ead4c3dab6054e5c9707daf9423550c70423e7ba4a9ec8efcc9fb90dbf6

Observation 28417469-e149-46dd-80e2-716a4b2424a7 · inbound

SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation cites this paper.

SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer

Reference 26

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T05:03:38.963217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T05:03:34.743747Z digest=sha256:842017761589c6c19bd54ec6624cdd2349951bedf57d6e7059df6b94b0780397