Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:48:47.606453Z
Paper Citation Record · LEDGER
Representation learning with a transformer by contrastive learning for money laundering detection
As of 16 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2507.08835.
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 2026-08-16T06:30:59.297886+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
65 of 65 outbound references displayed
- verified exact0
- verified fuzzy51
- unresolved14
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9783ac01-5ce3-4d78-9a22-8d32431f6d2d · outbound
This paper cites Mount, Nathan S.
Representation learning with a transformer by contrastive learning for money laundering detection Mount, Nathan S
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:49:00.415996Z
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.
Observation 30309462-9587-4b1c-a020-e2fb45ae4149 · outbound
This paper cites Controlling the false discovery rate: A practical and powerful approach to multiple testing.
Representation learning with a transformer by contrastive learning for money laundering detection Controlling the false discovery rate: A practical and powerful approach to multiple testing
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:49:00.198258Z
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.
Observation 86771735-2278-404c-b51e-1a27c8394914 · outbound
This paper cites an unresolved cited work.
Representation learning with a transformer by contrastive learning for money laundering detection Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:48:59.974031Z
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.
Observation b5f7b431-10cd-4c14-9a48-3f9db2a20fb1 · outbound
This paper cites Rule-based anti-money laundering in financial intelligence units: Experience and vision.
Representation learning with a transformer by contrastive learning for money laundering detection Rule-based anti-money laundering in financial intelligence units: Experience and vision
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:59.745826Z
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.
Observation a00ddda0-f5dd-4654-98db-bd4a4abbf86a · outbound
This paper cites Large-scale machine learning with stochastic gradient descent.
Representation learning with a transformer by contrastive learning for money laundering detection Large-scale machine learning with stochastic gradient descent
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:59.512223Z
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.
Observation 72937a5a-9e79-4ecf-b3cd-988de0d8a3d1 · outbound
This paper cites Convex Optimization.
Representation learning with a transformer by contrastive learning for money laundering detection Convex Optimization
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:59.225894Z
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.
Observation a595c748-b7f4-42bc-81c8-cc936e6d5fbe · outbound
This paper cites The control of the false discovery rate in multiple testing under dependency.
Representation learning with a transformer by contrastive learning for money laundering detection The control of the false discovery rate in multiple testing under dependency
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:59.003284Z
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.
Observation e87cb87e-2b5a-4cfb-8945-ce0c6a4ddc8a · outbound
This paper cites Xgboost: A scalable tree boosting system.
Representation learning with a transformer by contrastive learning for money laundering detection Xgboost: A scalable tree boosting system
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:58.783737Z
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.
Observation 1d1dcc87-eed2-4ddf-a19b-924519dde944 · outbound
This paper cites A simple framework for contrastive learning of visual representations, 2020.
Representation learning with a transformer by contrastive learning for money laundering detection A simple framework for contrastive learning of visual representations, 2020
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:48:40.555777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03c1b3c8-7e4a-434e-a542-ceb3ddd4776f · outbound
This paper cites A cross-validation based estimation of the proportion of true null hypotheses.
Representation learning with a transformer by contrastive learning for money laundering detection A cross-validation based estimation of the proportion of true null hypotheses
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:58.504942Z
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.
Observation fa48a75a-0c22-4c4a-9ddf-e5d7e3769737 · outbound
This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.
Representation learning with a transformer by contrastive learning for money laundering detection Bert: Pre-training of deep bidirectional transformers for language understanding
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:58.287405Z
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.
Observation 780357b8-269d-43cb-ad7e-d82c0af98df9 · outbound
This paper cites Learning deep representations using convolutional auto-encoders with symmetric skip connections, 2017.
Representation learning with a transformer by contrastive learning for money laundering detection Learning deep representations using convolutional auto-encoders with symmetric skip connections, 2017
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:58.065294Z
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.
Observation c52c908c-6d60-4563-bdeb-f79d074716ef · outbound
This paper cites Position information in transformers: An overview, 2021.
Representation learning with a transformer by contrastive learning for money laundering detection Position information in transformers: An overview, 2021
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:57.855784Z
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.
Observation e846a261-59f4-49fe-b2c9-1ec45118c9d8 · outbound
This paper cites an unresolved cited work.
Representation learning with a transformer by contrastive learning for money laundering detection Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:48:57.598749Z
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.
Observation 34aac246-bac2-4273-bee8-3f31aa4d33ab · outbound
This paper cites de Almeida, Hassan Sirelkhatim, Guillaume Richard, Marcin Skwark, Karim Beguir, Marie Lopez, and Thomas Pierrot.
Representation learning with a transformer by contrastive learning for money laundering detection de Almeida, Hassan Sirelkhatim, Guillaume Richard, Marcin Skwark, Karim Beguir, Marie Lopez, and Thomas Pierrot
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:57.267740Z
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.
Observation 966f4307-c60a-4681-932a-eaeb5faba11d · outbound
This paper cites Anti-money laundering alert optimization using machine learning with graphs, 2022.
Representation learning with a transformer by contrastive learning for money laundering detection Anti-money laundering alert optimization using machine learning with graphs, 2022
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:57.036069Z
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.
Observation 33d96fcd-f362-4366-ad1f-0678bec62df7 · outbound
This paper cites an unresolved cited work.
Representation learning with a transformer by contrastive learning for money laundering detection Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:48:56.827511Z
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.
Observation 858ba5db-3b82-463f-b064-52efc631aaf2 · outbound
This paper cites an unresolved cited work.
Representation learning with a transformer by contrastive learning for money laundering detection Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:48:56.628152Z
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.
Observation 31aa3a20-20c4-47dd-8d89-697fe812b192 · outbound
This paper cites Understanding and Improving the Role of Projection Head in Self-Supervised Learning.
Representation learning with a transformer by contrastive learning for money laundering detection Understanding and Improving the Role of Projection Head in Self-Supervised Learning
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:48:41.800883Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbc4d822-dab5-41bd-b227-02bf9d6ad3fb · outbound
This paper cites Understanding and improving the role of projection head in self-supervised learning, 2022.
Representation learning with a transformer by contrastive learning for money laundering detection Understanding and improving the role of projection head in self-supervised learning, 2022
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:56.351317Z
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.
Observation 475e9c26-5491-480a-9b7c-62660ca19821 · outbound
This paper cites Rankme: Assessing the downstream performance of pretrained self-supervised representations by their rank, 2023.
Representation learning with a transformer by contrastive learning for money laundering detection Rankme: Assessing the downstream performance of pretrained self-supervised representations by their rank, 2023
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:56.072119Z
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.
Observation 1c8dc7ad-f872-4ad2-a23c-8ab8bb55cf54 · outbound
This paper cites A survey on self-supervised learning: Algorithms, applications, and future trends.
Representation learning with a transformer by contrastive learning for money laundering detection A survey on self-supervised learning: Algorithms, applications, and future trends
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:55.875837Z
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.
Observation c66f78eb-8576-4567-b69f-98ead1c3f835 · outbound
This paper cites Diffprivlib: The IBM Differential Privacy Library.
Representation learning with a transformer by contrastive learning for money laundering detection Diffprivlib: The IBM Differential Privacy Library
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:48:42.276300Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4dcae69c-bd17-40a9-ad2d-8732854af72c · outbound
This paper cites Momentum contrast for unsupervised visual representation learning, 2020.
Representation learning with a transformer by contrastive learning for money laundering detection Momentum contrast for unsupervised visual representation learning, 2020
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:48:42.410082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bbe9324-3de0-46b9-952c-bb44f7013918 · outbound
This paper cites Walter, Michael Maire, and Maryam Khademi.
Representation learning with a transformer by contrastive learning for money laundering detection Walter, Michael Maire, and Maryam Khademi
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:55.676458Z
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.
Observation 75774f83-d3e0-42ce-89e5-3ea763367fec · outbound
This paper cites Universal language model fine-tuning for text classification, 2018.
Representation learning with a transformer by contrastive learning for money laundering detection Universal language model fine-tuning for text classification, 2018
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:48:42.659801Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7c67389-f608-4313-bf04-0655f8796314 · outbound
This paper cites A comprehensive survey on contrastive learning.
Representation learning with a transformer by contrastive learning for money laundering detection A comprehensive survey on contrastive learning
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:55.408464Z
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.
Observation efcd6555-63ac-45a3-ac04-c1e5b72e0527 · outbound
This paper cites Design of a monitor for detecting money laundering and terrorist financing.
Representation learning with a transformer by contrastive learning for money laundering detection Design of a monitor for detecting money laundering and terrorist financing
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:55.184547Z
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.
Observation c9d78c10-c5b8-4bdc-914a-eefff69c4d30 · outbound
This paper cites Ikotun, Absalom E.
Representation learning with a transformer by contrastive learning for money laundering detection Ikotun, Absalom E
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:54.944612Z
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.
Observation 6be5e1ce-06aa-42a2-843b-10da1d9b957d · outbound
This paper cites an unresolved cited work.
Representation learning with a transformer by contrastive learning for money laundering detection Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:48:54.652978Z
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.
Observation 7aea823b-b837-42c1-8c6f-dfb743b20657 · outbound
This paper cites Augmenting imbalanced time-series data via adversarial perturbation in latent space.
Representation learning with a transformer by contrastive learning for money laundering detection Augmenting imbalanced time-series data via adversarial perturbation in latent space
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:54.503437Z
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.
Observation a2784c92-e1db-498b-b848-610af5517cc9 · outbound
This paper cites Kim, Alejandro Cosa-Linan, Nandhini Santhanam, Mahboubeh Jannesari, Mate E.
Representation learning with a transformer by contrastive learning for money laundering detection Kim, Alejandro Cosa-Linan, Nandhini Santhanam, Mahboubeh Jannesari, Mate E
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:54.309946Z
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.
Observation b3f3d355-5136-4e4e-847a-21f2d8df02c1 · outbound
This paper cites Portfolio transformer for attention-based asset allocation, 2022.
Representation learning with a transformer by contrastive learning for money laundering detection Portfolio transformer for attention-based asset allocation, 2022
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:54.159897Z
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.
Observation 0bae4268-e55f-4c47-819b-ffa166346705 · outbound
This paper cites Deep learning and explainable artificial intelligence techniques applied for detecting money laundering–a critical review.
Representation learning with a transformer by contrastive learning for money laundering detection Deep learning and explainable artificial intelligence techniques applied for detecting money laundering–a critical review
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:53.983773Z
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.
Observation db101b05-dc5d-4315-8f6e-37b0067b4f9a · outbound
This paper cites Supervised contrastive learning, 2021.
Representation learning with a transformer by contrastive learning for money laundering detection Supervised contrastive learning, 2021
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:48:43.757305Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ffee8bf-1e51-4410-bc73-b022cfff1d93 · outbound
This paper cites Temporal ensembling for semi-supervised learning, 2017.
Representation learning with a transformer by contrastive learning for money laundering detection Temporal ensembling for semi-supervised learning, 2017
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:53.843844Z
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.
Observation e32194b1-527b-47ec-a7f0-fc21ffff74d9 · outbound
This paper cites HaoChen, Adrien Gaidon, and Tengyu Ma.
Representation learning with a transformer by contrastive learning for money laundering detection HaoChen, Adrien Gaidon, and Tengyu Ma
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:48:44.029372Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 237b6144-2b47-43d9-8f75-7d9131623e23 · outbound
This paper cites Le-Khac, Graham Healy, and Alan F.
Representation learning with a transformer by contrastive learning for money laundering detection Le-Khac, Graham Healy, and Alan F
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:53.573852Z
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.
Observation a95208a8-e5d3-4a8a-8477-77c554e0de2f · outbound
This paper cites Anti-money laundering in the eu: Time to get serious.
Representation learning with a transformer by contrastive learning for money laundering detection Anti-money laundering in the eu: Time to get serious
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:53.366730Z
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.
Observation f6b4d5e9-5ceb-47de-ba4b-8e0eadcbe6c4 · outbound
This paper cites Financial Fraud and Cybercrime in Wartime: An Overview of the Scientific Landscape and Insights from Countries Engaged in Military Conflict.
Representation learning with a transformer by contrastive learning for money laundering detection Financial Fraud and Cybercrime in Wartime: An Overview of the Scientific Landscape and Insights from Countries Engaged in Military Conflict
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:53.116616Z
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.
Observation cc2551a2-4486-4a4a-9d3c-cbe329036371 · outbound
This paper cites A preprocessing scheme for high‐cardinality categorical attributes in classification and prediction problems.
Representation learning with a transformer by contrastive learning for money laundering detection A preprocessing scheme for high‐cardinality categorical attributes in classification and prediction problems
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:52.895980Z
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.
Observation 05fca37d-baef-4fe6-9b75-f570519e26e0 · outbound
This paper cites Cross-entropy loss functions: Theoretical analysis and applications, 2023.
Representation learning with a transformer by contrastive learning for money laundering detection Cross-entropy loss functions: Theoretical analysis and applications, 2023
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:52.705075Z
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.
Observation 8024a808-b8ce-4c37-872b-725f4e428c1e · outbound
This paper cites Money laundering, proceeds of crime and the financing of terrorism.
Representation learning with a transformer by contrastive learning for money laundering detection Money laundering, proceeds of crime and the financing of terrorism
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:52.533091Z
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.
Observation 458e7155-35a5-42ff-a58e-a9d294df7fc0 · outbound
This paper cites Regularizing deep neural networks by noise: Its interpretation and optimization.
Representation learning with a transformer by contrastive learning for money laundering detection Regularizing deep neural networks by noise: Its interpretation and optimization
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:52.339995Z
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.
Observation 6d8777a9-5e55-4a66-90e9-fa5703a14c35 · outbound
This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks, 2019.
Representation learning with a transformer by contrastive learning for money laundering detection Sentence-bert: Sentence embeddings using siamese bert-networks, 2019
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:48:44.851369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4eb54757-b823-4ac0-975e-c45b52404496 · outbound
This paper cites Williams.
Representation learning with a transformer by contrastive learning for money laundering detection Williams
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:52.061636Z
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.
Observation 0ee2abd4-e1ae-441d-8109-524a72cd27a6 · outbound
This paper cites Improving language understanding by generative pre-training.
Representation learning with a transformer by contrastive learning for money laundering detection Improving language understanding by generative pre-training
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:51.708863Z
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.
Observation 470793f0-9ba1-4cd8-bce9-2bfe49c7863a · outbound
This paper cites Rousseeuw.
Representation learning with a transformer by contrastive learning for money laundering detection Rousseeuw
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:51.356161Z
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.
Observation 601406f9-3dd6-4647-adae-b476bc84a29a · outbound
This paper cites A natural language processing approach for financial fraud detection.
Representation learning with a transformer by contrastive learning for money laundering detection A natural language processing approach for financial fraud detection
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:51.183745Z
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.
Observation 356a7697-75f7-4b66-8575-c415faff3053 · outbound
This paper cites Yarrow Baldock, and Kimberly Gleason.
Representation learning with a transformer by contrastive learning for money laundering detection Yarrow Baldock, and Kimberly Gleason
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:50.950260Z
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.
Observation 5c04d291-d201-4dbe-be7f-6b50c3096e8f · outbound
This paper cites Long short-term memory.
Representation learning with a transformer by contrastive learning for money laundering detection Long short-term memory
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:50.844635Z
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.
Observation 9303511f-58b6-4c41-b23a-a10a5949a5a4 · outbound
This paper cites Modern information retrieval: A brief overview.
Representation learning with a transformer by contrastive learning for money laundering detection Modern information retrieval: A brief overview
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:50.627551Z
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.
Observation c7735681-a97a-4d35-9886-cf835fea850e · outbound
This paper cites Unsupervised learning of video representations using lstms, 2016.
Representation learning with a transformer by contrastive learning for money laundering detection Unsupervised learning of video representations using lstms, 2016
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:50.330216Z
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.
Observation 08b8b426-385c-4dd2-aa6a-9acafeb51d02 · outbound
This paper cites Statistical methods for fighting financial crimes.
Representation learning with a transformer by contrastive learning for money laundering detection Statistical methods for fighting financial crimes
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:50.051227Z
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.
Observation f3e4f4c1-0cad-4a77-8a1d-4fa124c554a3 · outbound
This paper cites A direct approach to false discovery rates.
Representation learning with a transformer by contrastive learning for money laundering detection A direct approach to false discovery rates
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:49.824139Z
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.
Observation d1045faa-2a52-4108-ae0b-88b7aa16d10a · outbound
This paper cites Hamlet: A transformer based approach for money laundering detection.
Representation learning with a transformer by contrastive learning for money laundering detection Hamlet: A transformer based approach for money laundering detection
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:49.720161Z
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.
Observation c2f9b8be-81e6-43a9-8853-e297dce4cbd7 · outbound
This paper cites Scalable and imbalance-resistant machine learning models for anti-money laundering: A two-layered approach.
Representation learning with a transformer by contrastive learning for money laundering detection Scalable and imbalance-resistant machine learning models for anti-money laundering: A two-layered approach
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:49.523378Z
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.
Observation 0a8c8232-9555-4d3c-a046-60a0b9dad4f8 · outbound
This paper cites Representation learning with contrastive predictive coding, 2019.
Representation learning with a transformer by contrastive learning for money laundering detection Representation learning with contrastive predictive coding, 2019
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:48:46.801132Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4db7aa4a-f8cc-45e3-a86c-ff7f611d42d3 · outbound
This paper cites van Houwelingen and S.
Representation learning with a transformer by contrastive learning for money laundering detection van Houwelingen and S
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:49.242087Z
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.
Observation 9e172550-347a-4c20-ba88-de4a3a3bf0e1 · outbound
This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.
Representation learning with a transformer by contrastive learning for money laundering detection Gomez, Lukasz Kaiser, and Illia Polosukhin
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:49.012559Z
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.
Observation 5d215729-8cd6-41dc-854b-01ef8d420b2d · outbound
This paper cites What do position embeddings learn? an empirical study of pre-trained language model positional encoding, 2020.
Representation learning with a transformer by contrastive learning for money laundering detection What do position embeddings learn? an empirical study of pre-trained language model positional encoding, 2020
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:48.787764Z
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.
Observation 66dcea8d-6845-4c67-a37c-0e3163216899 · outbound
This paper cites Transformers in time series: A survey.
Representation learning with a transformer by contrastive learning for money laundering detection Transformers in time series: A survey
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:48.530141Z
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.
Observation 7c52bdf9-c569-4db4-9682-023359ae45e5 · outbound
This paper cites Investigating the benefits of projection head for representation learning, 2024.
Representation learning with a transformer by contrastive learning for money laundering detection Investigating the benefits of projection head for representation learning, 2024
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:48.381769Z
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.
Observation a2b45cbe-0fd6-49cc-adeb-10ffc9be9b81 · outbound
This paper cites Bronstein, and Or Litany.
Representation learning with a transformer by contrastive learning for money laundering detection Bronstein, and Or Litany
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:48.134922Z
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.
Observation 9cc6fb86-01f9-40c9-9092-f93bc1ae20e7 · outbound
This paper cites Comparative study on the performance of categorical variable encoders in classification and regression tasks, 2024.
Representation learning with a transformer by contrastive learning for money laundering detection Comparative study on the performance of categorical variable encoders in classification and regression tasks, 2024
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:48:47.914294Z
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.
Pith citing papers
No inbound Pith citation observations are available.