Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T19:16:03.449757Z
Paper Citation Record · LEDGER
Enabling clinical use of foundation models for computational pathology
As of 26 July 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2602.22347.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-26T06:30:07.085553+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
Reference resolution
49 of 49 outbound references displayed
- verified exact14
- verified fuzzy28
- unresolved0
- parse uncertain0
- malformed identifier3
- metadata mismatch4
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 89a1844a-69ab-4347-b44e-10c630522ce7 · outbound
This paper cites On the Opportunities and Risks of Foundation Models.
Enabling clinical use of foundation models for computational pathology On the Opportunities and Risks of Foundation Models
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T19:16:30.608385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 87c0fd29-e67a-4510-8b84-5222c6939743 · outbound
This paper cites ‘Towards a general-purpose foundation model for computational pathology’.
Enabling clinical use of foundation models for computational pathology ‘Towards a general-purpose foundation model for computational pathology’
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.111063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 8fcc957e-fccd-4ee7-8eb8-7db25e3e9b61 · outbound
This paper cites ‘A whole-slide foundation model for digital pathology from real-world data’.
Enabling clinical use of foundation models for computational pathology ‘A whole-slide foundation model for digital pathology from real-world data’
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.101560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation bc8d7a54-9cd1-43fe-88bc-566ca723f575 · outbound
This paper cites Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology.
Enabling clinical use of foundation models for computational pathology Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:16:30.916541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 0ad5b385-25d1-4d4c-a542-5012ac5f534d · outbound
This paper cites Phikon-v2, A large and public feature extractor for biomarker prediction.
Enabling clinical use of foundation models for computational pathology Phikon-v2, A large and public feature extractor for biomarker prediction
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T19:16:30.902254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation a2ff7db6-2f87-4816-9015-a422b2197230 · outbound
This paper cites Hibou: A Family of Foundational Vision Transformers for Pathology.
Enabling clinical use of foundation models for computational pathology Hibou: A Family of Foundational Vision Transformers for Pathology
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:16:30.909217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 378457c7-1592-437b-8862-6c5534fd88fa · outbound
This paper cites ‘Designing deep learning studies in cancer diagnostics’.
Enabling clinical use of foundation models for computational pathology ‘Designing deep learning studies in cancer diagnostics’
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.106630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 79b5c02e-a1ff-431b-beaa-20e1bbc28529 · outbound
This paper cites an unresolved cited work.
Enabling clinical use of foundation models for computational pathology Unresolved cited work
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.096296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 27aab893-2fe9-4521-9210-2f7266d76589 · outbound
This paper cites ‘Shortcut learning in deep neural networks’.
Enabling clinical use of foundation models for computational pathology ‘Shortcut learning in deep neural networks’
Reference 9
- Resolution
- malformed identifier
- doi_truncated, observed 2026-05-15T19:16:30.613441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation f4467a6f-3c25-4970-b71d-c57134b1a600 · outbound
This paper cites ‘Automated Classification of Skin Lesions: From Pixels to Practice’.
Enabling clinical use of foundation models for computational pathology ‘Automated Classification of Skin Lesions: From Pixels to Practice’
Reference 10
- Resolution
- malformed identifier
- doi_truncated, observed 2026-05-15T19:16:30.580651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation fac0ac2e-c5e4-4a26-8de8-6a137d984113 · outbound
This paper cites Winkler et al.
Enabling clinical use of foundation models for computational pathology Winkler et al
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:16:30.563736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 28031319-ff1a-44f1-84f6-88555192d0af · outbound
This paper cites ‘Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study’.
Enabling clinical use of foundation models for computational pathology ‘Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study’
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.057880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation dc9053a2-e877-415d-ab68-40916d345e6f · outbound
This paper cites Howard et al.
Enabling clinical use of foundation models for computational pathology Howard et al
Reference 13
- Resolution
- verified exact
- doi, observed 2026-05-15T19:16:30.568362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation b6760d28-2d55-42ed-a1ab-c73c190448a2 · outbound
This paper cites ‘Biased data, biased AI: deep networks predict the acquisition site of TCGA images’.
Enabling clinical use of foundation models for computational pathology ‘Biased data, biased AI: deep networks predict the acquisition site of TCGA images’
Reference 14
- Resolution
- verified exact
- doi, observed 2026-05-15T19:16:30.574559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation a890d442-1cdc-43cf-8999-0607217db84f · outbound
This paper cites ‘Incidental Prompt Injections on Vision–Language Models in Real- Life Histopathology’.
Enabling clinical use of foundation models for computational pathology ‘Incidental Prompt Injections on Vision–Language Models in Real- Life Histopathology’
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.027942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 75230b0e-17b0-442f-8b48-2a51343eba1c · outbound
This paper cites ‘Investigation on potential bias factors in histopathology datasets’.
Enabling clinical use of foundation models for computational pathology ‘Investigation on potential bias factors in histopathology datasets’
Reference 16
- Resolution
- verified exact
- doi, observed 2026-05-15T19:16:30.586579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 48fe80db-0147-467b-b45c-6c0877cdbc7d · outbound
This paper cites ‘Quantifying the effects of data augmentation and stain color normal- ization in convolutional neural networks for computational pathology’.
Enabling clinical use of foundation models for computational pathology ‘Quantifying the effects of data augmentation and stain color normal- ization in convolutional neural networks for computational pathology’
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T19:16:30.870594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 3c65b32b-1df5-4300-909f-c47956859c7b · outbound
This paper cites ‘Impact of stain variation and color normalization for prognostic predictions in pathology’.
Enabling clinical use of foundation models for computational pathology ‘Impact of stain variation and color normalization for prognostic predictions in pathology’
Reference 18
- Resolution
- verified exact
- doi, observed 2026-05-15T19:16:30.591887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 238f8ca4-f751-43d1-872b-68101d32d7de · outbound
This paper cites A Closer Look at Domain Shift for Deep Learning in Histopathology.
Enabling clinical use of foundation models for computational pathology A Closer Look at Domain Shift for Deep Learning in Histopathology
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:16:30.855140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation b20b030b-3aed-45da-8bfe-10c261380960 · outbound
This paper cites ‘Mitosis domain generalization in histopathology images — The MIDOG challenge’.
Enabling clinical use of foundation models for computational pathology ‘Mitosis domain generalization in histopathology images — The MIDOG challenge’
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:16:30.600258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 00d6f022-3995-44df-a589-71c0ae008651 · outbound
This paper cites Scanner-Induced Domain Shifts Undermine the Robustness of Patho- logy Foundation Models.
Enabling clinical use of foundation models for computational pathology Scanner-Induced Domain Shifts Undermine the Robustness of Patho- logy Foundation Models
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:16:30.863090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation aedab98a-e0e6-40a8-8808-74ecef4f3add · outbound
This paper cites Current Pathology Foundation Models are unrobust to Medical Center Differences.
Enabling clinical use of foundation models for computational pathology Current Pathology Foundation Models are unrobust to Medical Center Differences
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T19:16:30.832834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 0fa69fe3-dce5-461f-8162-70374a1164fc · outbound
This paper cites Comparing Computational Pathology Foundation Models using Representational Similarity Analysis.
Enabling clinical use of foundation models for computational pathology Comparing Computational Pathology Foundation Models using Representational Similarity Analysis
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:16:30.847461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 6aa72653-9d68-411c-ae49-52e432c37760 · outbound
This paper cites Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study.
Enabling clinical use of foundation models for computational pathology Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:16:30.894393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation f059d3d0-b778-46f7-ab22-3f5340743f59 · outbound
This paper cites Pathology Foundation Models are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss.
Enabling clinical use of foundation models for computational pathology Pathology Foundation Models are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:16:30.841001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation ea394d7d-ccf7-4317-bcff-2736d718b182 · outbound
This paper cites Attention-based Deep Multiple Instance Learning.
Enabling clinical use of foundation models for computational pathology Attention-based Deep Multiple Instance Learning
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T19:16:30.877746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation b07eea6f-aca9-4864-8915-e61e45e86d49 · outbound
This paper cites ‘3 versus 6 months of adjuvant oxaliplatin-fluoropyrimidine com- bination therapy for colorectal cancer (SCOT): an international, randomised, phase 3, non-inferiority trial’.
Enabling clinical use of foundation models for computational pathology ‘3 versus 6 months of adjuvant oxaliplatin-fluoropyrimidine com- bination therapy for colorectal cancer (SCOT): an international, randomised, phase 3, non-inferiority trial’
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:31.977030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation dcf631b6-81d4-489f-9658-852f17a5ca56 · outbound
This paper cites ‘Visualizing data using t-SNE.
Enabling clinical use of foundation models for computational pathology ‘Visualizing data using t-SNE
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.048223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 6d97960f-23cd-4cf4-9461-5756ba8469f6 · outbound
This paper cites ‘Measuring Domain Shift for Deep Learning in Histopathology’.
Enabling clinical use of foundation models for computational pathology ‘Measuring Domain Shift for Deep Learning in Histopathology’
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.053127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation dd53943e-4746-44ae-aca2-4f3680df1be6 · outbound
This paper cites ‘Deep learning for prediction of colorectal cancer outcome: a dis- covery and validation study’.
Enabling clinical use of foundation models for computational pathology ‘Deep learning for prediction of colorectal cancer outcome: a dis- covery and validation study’
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.062646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 498ac8dd-9b63-4aaf-b29f-d2105630aa17 · outbound
This paper cites ‘OpenSlide: A vendor-neutral software foundation for digital pathology’.
Enabling clinical use of foundation models for computational pathology ‘OpenSlide: A vendor-neutral software foundation for digital pathology’
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.072570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 21d9342a-5087-4bf1-9b5d-0c6fee36282b · outbound
This paper cites ‘Expression and gene amplification of primary (A, B1, D1, D3, and E) and secondary (C and H) cyclins in colon adenocarcinomas and correlation with patient outcome’.
Enabling clinical use of foundation models for computational pathology ‘Expression and gene amplification of primary (A, B1, D1, D3, and E) and secondary (C and H) cyclins in colon adenocarcinomas and correlation with patient outcome’
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.038599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 4bc6ee63-5487-4051-8c73-bd5c54c35fd4 · outbound
This paper cites ‘Microsatellite instability has a positive prognostic impact on stage II colorectal cancer after complete resection: results from a large, consecutive Norwegian series’.
Enabling clinical use of foundation models for computational pathology ‘Microsatellite instability has a positive prognostic impact on stage II colorectal cancer after complete resection: results from a large, consecutive Norwegian series’
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.043547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 6f269de7-43a4-489b-a768-164edf742540 · outbound
This paper cites ‘Prognostic impact of genomic instability in colorectal cancer’.
Enabling clinical use of foundation models for computational pathology ‘Prognostic impact of genomic instability in colorectal cancer’
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.087196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 447aa910-e454-4c4b-9ee9-760bc6a21f66 · outbound
This paper cites ‘Identification of objective pathological prognostic determinants and models of prognosis in Dukes’ B colon cancer’.
Enabling clinical use of foundation models for computational pathology ‘Identification of objective pathological prognostic determinants and models of prognosis in Dukes’ B colon cancer’
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.077394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 01580b2c-969b-4c79-8ad0-ed409bb830d0 · outbound
This paper cites ‘Rofecoxib and cardiovascular adverse events in adjuvant treatment of colorectal cancer’.
Enabling clinical use of foundation models for computational pathology ‘Rofecoxib and cardiovascular adverse events in adjuvant treatment of colorectal cancer’
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.092012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 383202fc-42a9-4109-b6d1-58cd22a4f109 · outbound
This paper cites Midgley et al.
Enabling clinical use of foundation models for computational pathology Midgley et al
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.082303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 47ece9c7-49e5-4274-af37-6f1b35e5b4ff · outbound
This paper cites ‘Adjuvant capecitabine plus bevacizumab versus capecitabine alone in patients with colorectal cancer (QUASAR 2): an open-label, randomised phase 3 trial’.
Enabling clinical use of foundation models for computational pathology ‘Adjuvant capecitabine plus bevacizumab versus capecitabine alone in patients with colorectal cancer (QUASAR 2): an open-label, randomised phase 3 trial’
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:31.982589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation cbe45b6b-271f-45cb-a502-ba71078d8962 · outbound
This paper cites ‘DENEB: Development of new criteria for curability after local excision of pathological T1 colorectal cancer using liquid biopsy’.
Enabling clinical use of foundation models for computational pathology ‘DENEB: Development of new criteria for curability after local excision of pathological T1 colorectal cancer using liquid biopsy’
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.033165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 6a8d69fe-c9db-4d69-8ff7-cd354273b2ef · outbound
This paper cites an unresolved cited work.
Enabling clinical use of foundation models for computational pathology Unresolved cited work
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.067453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation e1ec98fe-cff0-41c1-8380-247174b4ee70 · outbound
This paper cites ‘Histologic Factors Associated With Need for Surgery in Patients With Pedunculated T1 Colorectal Carcinomas.
Enabling clinical use of foundation models for computational pathology ‘Histologic Factors Associated With Need for Surgery in Patients With Pedunculated T1 Colorectal Carcinomas
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:31.997677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 4d78262d-ed85-4153-957f-5acd6599468d · outbound
This paper cites H-optimus-1.
Enabling clinical use of foundation models for computational pathology H-optimus-1
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.007470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 97a17747-d107-4498-a1d7-f526b4293411 · outbound
This paper cites H-optimus-0.
Enabling clinical use of foundation models for computational pathology H-optimus-0
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:31.992226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 002199f4-ef91-4167-ae0c-6f87b420ba93 · outbound
This paper cites ‘Towards a General-Purpose Foundation Model for Computational Pathology’.
Enabling clinical use of foundation models for computational pathology ‘Towards a General-Purpose Foundation Model for Computational Pathology’
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.013262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 56df14d6-3fc6-4871-b628-7f0d3c176f58 · outbound
This paper cites ‘Elastix: a toolbox for intensity-based medical image registration’.
Enabling clinical use of foundation models for computational pathology ‘Elastix: a toolbox for intensity-based medical image registration’
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.023143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 27cdcf90-3de4-446f-894a-bb17955586cd · outbound
This paper cites ‘Generalisation of automatic tumour segmentation in histopatho- logical whole-slide images across multiple cancer types.
Enabling clinical use of foundation models for computational pathology ‘Generalisation of automatic tumour segmentation in histopatho- logical whole-slide images across multiple cancer types
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.002698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 95684ac7-cd2d-4a2f-b03c-339c6cdf5b3c · outbound
This paper cites ‘Rectifier nonlinearities improve neural network acoustic models’.
Enabling clinical use of foundation models for computational pathology ‘Rectifier nonlinearities improve neural network acoustic models’
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:31.987338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 7cd6bb93-e0c0-43e4-869a-46a079bb0719 · outbound
This paper cites ‘Batch normalization: Accelerating deep network train- ing by reducing internal covariate shift’.
Enabling clinical use of foundation models for computational pathology ‘Batch normalization: Accelerating deep network train- ing by reducing internal covariate shift’
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T19:16:32.018301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Observation 144bcb66-9337-4fab-814f-1ced9039c0a6 · outbound
This paper cites Representation Learning with Contrastive Predictive Coding.
Enabling clinical use of foundation models for computational pathology Representation Learning with Contrastive Predictive Coding
Reference 50
- Resolution
- malformed identifier
- local_arxiv, observed 2026-05-15T19:16:30.885945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.
Pith citing papers
No inbound Pith citation observations are available.