Paper Citation Record · LEDGER

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs

As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.22786.

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

pith.paper-citation-record.v1
2607.22786 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:24:00.305591Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

36 of 36 outbound references displayed

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unresolved36
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b319aeab-b147-4677-994c-6322d4ce09fc · outbound

This paper cites High frequency data filtering.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs High frequency data filtering

Reference 1

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Observation ae557500-5308-4fb7-94aa-bbcc9c1895cc · outbound

This paper cites an unresolved cited work.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:57.219069Z

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Observation ed9e9bc1-3796-47b9-8a1d-e87c502408d6 · outbound

This paper cites Anomaly detection on big data in financial markets.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Anomaly detection on big data in financial markets

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:57.382775Z

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Observation dddd694a-d92e-4d46-9cce-fedf75178b89 · outbound

This paper cites Overview of the transformer-based models for nlp tasks.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Overview of the transformer-based models for nlp tasks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:57.571101Z

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Observation 8bab543a-2277-47ee-91f6-50b68b0b70f5 · outbound

This paper cites Transformers in time series: A survey.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Transformers in time series: A survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:57.651127Z

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Observation 513dd148-557c-450d-a9d1-decf95d1c69c · outbound

This paper cites Custom framework for run-time trading strategies.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Custom framework for run-time trading strategies

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:57.794197Z

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Observation a9900624-7002-474c-bc63-db53348a71c5 · outbound

This paper cites Evaluation metrics for un- supervised learning algorithms, 2019.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Evaluation metrics for un- supervised learning algorithms, 2019

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:57.920361Z

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Observation 0b6051c3-5b16-4e5d-b5cc-e78694735227 · outbound

This paper cites Generating artificial outliers in the absence of genuine ones — a survey.ACM Transactions on Knowledge Discovery from Data (TKDD), 15:1 – 37, 2020.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Generating artificial outliers in the absence of genuine ones — a survey.ACM Transactions on Knowledge Discovery from Data (TKDD), 15:1 – 37, 2020

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:58.040767Z

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Observation 075ab099-7ed2-47bc-83eb-8d2c9bce6811 · outbound

This paper cites Anomaly detection in time series: A comprehensive evaluation.Proc.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Anomaly detection in time series: A comprehensive evaluation.Proc

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:58.157659Z

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Observation 820a33a4-fabb-4dbb-bd6f-0286b4cc519d · outbound

This paper cites Neural machine translation by jointly learning to align and translate, 2014.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Neural machine translation by jointly learning to align and translate, 2014

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:58.309467Z

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Observation 159ae29c-3de3-4e61-a7ed-9dd4a9f5c23c · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:58.463655Z

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Observation f8db2508-af1d-40ff-9646-fb77d25debd3 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:58.518269Z

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Observation 9a7f06a9-6af9-42a1-b8e6-e4c5d0aba2c7 · outbound

This paper cites AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:58.593868Z

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Observation 4fb30e84-1969-4eb2-b688-2251659d0825 · outbound

This paper cites Position informa- tion in transformers: An overview.Computational Linguistics, 48:733–763, 2021.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Position informa- tion in transformers: An overview.Computational Linguistics, 48:733–763, 2021

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:58.660459Z

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Observation 57eea855-713f-49d6-ac7d-f02d5dcf98cc · outbound

This paper cites The transformer family version 2.0.https://lilianweng.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs The transformer family version 2.0.https://lilianweng

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:58.759807Z

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Observation d49cbe1b-0018-4b7c-954e-328307e8a8a9 · outbound

This paper cites Deep residual learning for image recognition, 2015.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Deep residual learning for image recognition, 2015

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:58.824212Z

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Observation 08cd63d9-def9-4cc6-a949-766feb6e07a7 · outbound

This paper cites an unresolved cited work.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:58.879228Z

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Observation 11ea2c33-90e7-4c93-ad93-e40534014daa · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with lin- ear attention, 2020.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Transformers are rnns: Fast autoregressive transformers with lin- ear attention, 2020

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:58.884938Z

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Observation ba06d926-4cae-4a63-b0dc-42c7a790eaeb · outbound

This paper cites TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data.Proceedings of VLDB, 15(6):1201–1214, 2022.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data.Proceedings of VLDB, 15(6):1201–1214, 2022

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:58.972699Z

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Observation 5bee7b39-7456-40ab-a5a8-8435b57165e5 · outbound

This paper cites Are transformers effective for time series forecasting?, 2022.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Are transformers effective for time series forecasting?, 2022

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:59.060340Z

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Observation cb32af5b-3a54-4bec-8ada-c115142170cf · outbound

This paper cites Time series forecasting with transformer models and application to asset management.SSRN Electronic Journal, 2023.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Time series forecasting with transformer models and application to asset management.SSRN Electronic Journal, 2023

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:59.101474Z

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Observation 40224ac0-7e1d-4bf6-874d-4ca4d4c9e62a · outbound

This paper cites Vitis HLS Knowledge Base - Real-Time Systems - York Wiki Service.https://wiki.york.ac.uk/display/RTS/Vitis+HLS+ Knowledge+Base, July 2020.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Vitis HLS Knowledge Base - Real-Time Systems - York Wiki Service.https://wiki.york.ac.uk/display/RTS/Vitis+HLS+ Knowledge+Base, July 2020

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:59.186020Z

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Observation ca0ff652-bf4c-4346-88f9-9837e0c08a54 · outbound

This paper cites Vitis High-Level Synthesis User Guide.https://docs.xilinx.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Vitis High-Level Synthesis User Guide.https://docs.xilinx

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:59.235207Z

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Observation b77a602a-0386-4e89-8ab0-5d8303d76b5f · outbound

This paper cites C/RTL Co-Simulation in Vitis HLS.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs C/RTL Co-Simulation in Vitis HLS

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:59.308736Z

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Observation 845a4c4a-51d8-4a92-98ae-67cc6a791471 · outbound

This paper cites Vitis hls: Pipelining loops.https://docs.xilinx.com/r/ en-US/ug1399-vitis-hls/Design-Principles, May 2023.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Vitis hls: Pipelining loops.https://docs.xilinx.com/r/ en-US/ug1399-vitis-hls/Design-Principles, May 2023

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:59.375602Z

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Observation 2022807a-485c-4cb0-bf85-02764b870608 · outbound

This paper cites Intel high level synthesis: Best practices guide.https: //www.intel.com/content/www/us/en/docs/programmable/683152/ 21-3/pipeline-loops.html.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Intel high level synthesis: Best practices guide.https: //www.intel.com/content/www/us/en/docs/programmable/683152/ 21-3/pipeline-loops.html

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:59.436951Z

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Observation 70848a2d-af06-4274-9bfd-abf1ca090334 · outbound

This paper cites an unresolved cited work.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:59.591645Z

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Observation 6699d1eb-4166-4100-acc5-dee7e338dbd5 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Adam: A Method for Stochastic Optimization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:59.693562Z

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Observation 5b2c9028-aae8-474e-8343-9a0d14ccc24f · outbound

This paper cites Learningratefinder — pytorch lightning 2.0.7 documen- tation.https://lightning.ai/docs/pytorch/stable/api/lightning.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Learningratefinder — pytorch lightning 2.0.7 documen- tation.https://lightning.ai/docs/pytorch/stable/api/lightning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:59.777842Z

Source-reported events for the cited work

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Observation 6c110114-a438-47fa-bd02-4df10c54837e · outbound

This paper cites On the difficulty of training recurrent neural networks, 2012.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs On the difficulty of training recurrent neural networks, 2012

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:59.833144Z

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Observation 5649cff5-0baf-489e-bcae-c6a27ff04f12 · outbound

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Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T05:23:59.937833Z

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Observation 424994c9-9873-4298-abb5-535d63324117 · outbound

This paper cites Pedregosa, G.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Pedregosa, G

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T05:24:00.017371Z

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Observation 7b8b5733-656b-4f4a-8a54-6a38acc36915 · outbound

This paper cites Unsu- pervised real-time anomaly detection for streaming data.Neurocomputing, 262:134–147, 11 2017.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Unsu- pervised real-time anomaly detection for streaming data.Neurocomputing, 262:134–147, 11 2017

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T05:24:00.098276Z

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Observation e9ed8728-1608-44da-afdd-42a530c9e953 · outbound

This paper cites Constructing large-scale real-world benchmark datasets for aiops, 2022.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Constructing large-scale real-world benchmark datasets for aiops, 2022

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T05:24:00.176259Z

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Observation 42ca27a2-0108-4151-8f82-d2d2fc357d6e · outbound

This paper cites Benchmark dataset for mid-price forecasting of limit order book data with machine learning methods.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Benchmark dataset for mid-price forecasting of limit order book data with machine learning methods

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T05:24:00.227360Z

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Observation 482adac8-2dd4-4be6-8c33-ab9e80537146 · outbound

This paper cites Anomaly Detection in Financial Time Series by Principal Component Anal- ysis and Neural Networks.Algorithms, 15(10):385, oct 19 2022.

Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs Anomaly Detection in Financial Time Series by Principal Component Anal- ysis and Neural Networks.Algorithms, 15(10):385, oct 19 2022

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T05:24:00.305591Z

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Pith citing papers

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