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Paper Citation Record · LEDGER

In-Network Market Prediction Using Machine Learning and Limit Order Books

As of 12 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2608.02424.

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

pith.paper-citation-record.v1
2608.02424 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:40:29.690812Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

59 of 59 outbound references displayed

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External citation measurements

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Outbound references

Observation 1de98077-7583-4639-99db-0132901f3604 · outbound

This paper cites Does Algorithmic Trading Improve Liquidity?.

In-Network Market Prediction Using Machine Learning and Limit Order Books Does Algorithmic Trading Improve Liquidity?

Reference 1

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source=pdf_text observed=2026-08-04T07:40:24.482129Z digest=sha256:3349ae3eea0d1f2e508ab5c01924cd28ab12075cbb239e38a25cbc39165c47f4

Observation da1dc858-a677-4a13-b705-4595e356ee68 · outbound

This paper cites High Frequency Trading,.

In-Network Market Prediction Using Machine Learning and Limit Order Books High Frequency Trading,

Reference 2

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source=pdf_text observed=2026-08-04T07:40:24.522732Z digest=sha256:942f95db4ada4446cd4f36da605e80df7bbc1726c3deddf0ff22a8a52c99319c

Observation dbdfa681-e468-4cfe-9b0f-70156db6b631 · outbound

This paper cites High-Frequency Trading and Market Performance,.

In-Network Market Prediction Using Machine Learning and Limit Order Books High-Frequency Trading and Market Performance,

Reference 3

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source=pdf_text observed=2026-08-04T07:40:24.612070Z digest=sha256:bc1ede3c244ec748499efa9eacc4cf3b187053a8d63c11558138056c0cd2bfe7

Observation 3a4c4363-04fb-4b36-b372-86ef8aec1c71 · outbound

This paper cites Machine Learning for Market Mi- crostructure and High Frequency Trading,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Machine Learning for Market Mi- crostructure and High Frequency Trading,

Reference 4

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source=pdf_text observed=2026-08-04T07:40:24.706693Z digest=sha256:c0827e25651e6ad926089831efb47a87d94dfcc57c215e2f59d4f83a578b4bd7

Observation 6359c889-45e1-4618-bb1f-ca7220f97fac · outbound

This paper cites Automated Trading Systems Statistical and Machine Learning Methods and Hardware Implementation: A Survey,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Automated Trading Systems Statistical and Machine Learning Methods and Hardware Implementation: A Survey,

Reference 5

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source=pdf_text observed=2026-08-04T07:40:24.761856Z digest=sha256:22732e8dc2558db25d3f20c3a15260089bc53da1d86acd861e49f67905f511d5

Observation 555c7099-85cb-489d-9ea7-75f58a00b3ab · outbound

This paper cites One Day, the Stock Market Could Eat the Power Grid,.

In-Network Market Prediction Using Machine Learning and Limit Order Books One Day, the Stock Market Could Eat the Power Grid,

Reference 6

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source=pdf_text observed=2026-08-04T07:40:24.867117Z digest=sha256:bdf05227df706ac9523a41f79b41d7cc4232cc31011a8430394684bb8afcee4a

Observation 0fa10eb6-adc2-441a-acdb-b9d1a2435ce4 · outbound

This paper cites The Case for In-network Computing on Demand,.

In-Network Market Prediction Using Machine Learning and Limit Order Books The Case for In-network Computing on Demand,

Reference 7

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source=pdf_text observed=2026-08-04T07:40:24.930268Z digest=sha256:73b83244c1049a9d3c9ffb7ff62fda35fb6057b43944dfb6f036fa4d2c53e1c0

Observation 66efb4a6-bcf7-4cc3-8cd7-1ead0fc44d04 · outbound

This paper cites Can the Network be the AI Accelerator?.

In-Network Market Prediction Using Machine Learning and Limit Order Books Can the Network be the AI Accelerator?

Reference 8

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source=pdf_text observed=2026-08-04T07:40:25.069084Z digest=sha256:d631ca2524f16efb5e87ea75ff4dfc00e8019415349c2ce018e61d41510b04e1

Observation d421b9c7-8603-46af-a029-56b15514061f · outbound

This paper cites Do Switches Dream of Machine Learning? Toward In-Network Classification,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Do Switches Dream of Machine Learning? Toward In-Network Classification,

Reference 9

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source=pdf_text observed=2026-08-04T07:40:25.141583Z digest=sha256:3e54b56121044db5fab402110e817adc503ee79ee6ac697b3cf41e51eb6f96e9

Observation 8c81a49f-dd2b-4dc9-924f-a7c185fce8d4 · outbound

This paper cites Modelling High-Frequency Limit Order Book Dynamics with Support Vector Machines,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Modelling High-Frequency Limit Order Book Dynamics with Support Vector Machines,

Reference 10

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source=pdf_text observed=2026-08-04T07:40:25.214535Z digest=sha256:379baf0d0186edbe2b571b478d0f90319237e09b803388420f70fc3622b3b77b

Observation ebd6de72-0f76-465c-b657-9a70f23b9d2f · outbound

This paper cites Benchmark Dataset for Mid Price Forecasting of Limit Order Book Data with Machine Learning Methods,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Benchmark Dataset for Mid Price Forecasting of Limit Order Book Data with Machine Learning Methods,

Reference 11

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source=pdf_text observed=2026-08-04T07:40:25.300802Z digest=sha256:42ee055730b466bc5bc5ec5587bd09806410a4a2a0c733aeaa414204d54758fc

Observation e31b3332-ff1f-472b-874f-8eb0f2de8d00 · outbound

This paper cites DeepLOB: Deep Convolutional Neural Networks for Limit Order Books,.

In-Network Market Prediction Using Machine Learning and Limit Order Books DeepLOB: Deep Convolutional Neural Networks for Limit Order Books,

Reference 12

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source=pdf_text observed=2026-08-04T07:40:25.403131Z digest=sha256:c8e7283c99f4d7192e64c1ba8db442b7d7ac235d5eb4bc1800bfd40a837632a0

Observation 8464d225-b85e-4566-b70d-7007e3ce588d · outbound

This paper cites Using Deep Learning for Price Prediction by Ex- ploiting Stationary Limit Order Book Features,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Using Deep Learning for Price Prediction by Ex- ploiting Stationary Limit Order Book Features,

Reference 13

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source=pdf_text observed=2026-08-04T07:40:25.476280Z digest=sha256:4825a3dda817d97d4c85cedf3f64f47e75d3104506e4d41f242104d4109aab6b

Observation 3d658ad4-6b8a-4235-a01f-b3d7246d6d24 · outbound

This paper cites Who Benefits from an Open Limit-Order Book?.

In-Network Market Prediction Using Machine Learning and Limit Order Books Who Benefits from an Open Limit-Order Book?

Reference 14

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source=pdf_text observed=2026-08-04T07:40:25.550271Z digest=sha256:18f6b4726260fabddda68096e44d80dde031d6920bd914ac1afdc7dc4806ebaf

Observation 4f204feb-91f7-45a3-bf6a-3dfe6ca85cd5 · outbound

This paper cites an unresolved cited work.

In-Network Market Prediction Using Machine Learning and Limit Order Books Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-04T07:40:25.614649Z digest=sha256:cebf71094554dcf1a15c700ad0df8e308bf138d9baf115ba02a92e73b553702f

Observation f724a931-32e0-4663-b3a9-76d2ff14d25f · outbound

This paper cites The Reference P4 Software Switch,.

In-Network Market Prediction Using Machine Learning and Limit Order Books The Reference P4 Software Switch,

Reference 16

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source=pdf_text observed=2026-08-04T07:40:25.701198Z digest=sha256:69a5fc18400b34e218b82412a4f07d77d8716d18bb41362324c355384f943528

Observation 739085cf-c363-460c-9ed3-2cd13c2c07a3 · outbound

This paper cites Time Series Forecasting for Nonlinear and Non- stationary Processes: A Review and Comparative Study,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Time Series Forecasting for Nonlinear and Non- stationary Processes: A Review and Comparative Study,

Reference 17

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source=pdf_text observed=2026-08-04T07:40:25.798271Z digest=sha256:fcbacef793c4ec38d163edb1b4167021d805b31f74275132023f4d5214448993

Observation 60284a9b-e765-48c9-95a0-f024170ca9a2 · outbound

This paper cites A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques,.

In-Network Market Prediction Using Machine Learning and Limit Order Books A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques,

Reference 18

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source=pdf_text observed=2026-08-04T07:40:25.926530Z digest=sha256:c7ddf25474fd8dec71b082bf8bcae6ee7a8fe95dc1a5a96352023a441aa653b1

Observation 50dcb27e-9fd2-4cfe-8cc5-f41c2ac55dee · outbound

This paper cites Evaluating Multiple Classifiers for Stock Price Direction Prediction,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Evaluating Multiple Classifiers for Stock Price Direction Prediction,

Reference 19

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source=pdf_text observed=2026-08-04T07:40:25.998786Z digest=sha256:18f5e7791850de9c0d42166a75a050515f5711507a6bde389108df9876302838

Observation 37e3d241-c2a3-47df-b317-33219377c645 · outbound

This paper cites Predicting Stock and Stock Price Index Movement Using Trend Deterministic Data Preparation and Machine Learning Techniques,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Predicting Stock and Stock Price Index Movement Using Trend Deterministic Data Preparation and Machine Learning Techniques,

Reference 20

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source=pdf_text observed=2026-08-04T07:40:26.089881Z digest=sha256:6a207366979c9b06b3b3081cb3f29bc759c0307dd9fb0790977572b7dbda1e03

Observation 211791b2-caa0-40c0-90ab-0c27c2caa521 · outbound

This paper cites Predicting the Direction of Stock Market Prices Using Tree-based Classifiers,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Predicting the Direction of Stock Market Prices Using Tree-based Classifiers,

Reference 21

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source=pdf_text observed=2026-08-04T07:40:26.162073Z digest=sha256:89752224a141283d5f4c0dc06be6a249d4394a0135099e0a31def668521d5289

Observation 536a6f95-2d85-41b9-8696-5b43d0b0a7a0 · outbound

This paper cites Risk and Return in High-Frequency Trading,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Risk and Return in High-Frequency Trading,

Reference 22

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source=pdf_text observed=2026-08-04T07:40:26.203388Z digest=sha256:c52229843d339751551e3297adfbb4fe6f0008bd5d5da0dba3c4a96cb670abd5

Observation 67f923aa-e373-4123-89dd-c2681be6aa8b · outbound

This paper cites Accelerating Recurrent Neural Networks in Ana- lytics Servers: Comparison of FPGA, CPU, GPU, and ASIC,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Accelerating Recurrent Neural Networks in Ana- lytics Servers: Comparison of FPGA, CPU, GPU, and ASIC,

Reference 23

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source=pdf_text observed=2026-08-04T07:40:26.261105Z digest=sha256:0cbc056fe38bce69d5ab207f725a35e59c63776d975ac7d182e8c2296c9b1cb2

Observation 686af9c6-f1f4-410c-96b6-d1ca71e507c3 · outbound

This paper cites FPGA Accelerated Low- Latency Market Data Feed Processing,.

In-Network Market Prediction Using Machine Learning and Limit Order Books FPGA Accelerated Low- Latency Market Data Feed Processing,

Reference 24

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source=pdf_text observed=2026-08-04T07:40:26.314212Z digest=sha256:db23c0d663e5ca93b2ec9109f857f95ff1fe47b969a93f00229391db7978ad52

Observation 141092ca-fd1d-4137-9f45-a7bd1ce0d7e0 · outbound

This paper cites A Scalable Architecture for Low-Latency Market-Data Processing on FPGA,.

In-Network Market Prediction Using Machine Learning and Limit Order Books A Scalable Architecture for Low-Latency Market-Data Processing on FPGA,

Reference 25

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source=pdf_text observed=2026-08-04T07:40:26.395245Z digest=sha256:ae849d810d1cd882ac75a7119c12b2393cf410f17e67c6bf3b06bf88f0a7c1cd

Observation 3f73f6c8-c653-4c99-8be2-dca735d2afb8 · outbound

This paper cites Streaming, Low-latency Communication in On-line Trading Systems,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Streaming, Low-latency Communication in On-line Trading Systems,

Reference 26

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source=pdf_text observed=2026-08-04T07:40:26.457037Z digest=sha256:e08fadb62eb2f57b6f9cfa403a44218c70feda51ae571bb8868842b4dfc9d2e1

Observation caab62f9-6705-4c36-9b37-69dcbade176b · outbound

This paper cites Announcing DPU-based Ac- celeration for NSX,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Announcing DPU-based Ac- celeration for NSX,

Reference 27

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source=pdf_text observed=2026-08-04T07:40:26.539990Z digest=sha256:7e260785515019c9a5ea76b5cec81436d3015953c4a00c2ec078372f83358bb0

Observation 17688b7a-a8d3-47e3-9ad2-b1772c1141d8 · outbound

This paper cites AMD Announces New Alveo X3 Se- ries for Electronic Trading,.

In-Network Market Prediction Using Machine Learning and Limit Order Books AMD Announces New Alveo X3 Se- ries for Electronic Trading,

Reference 28

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source=pdf_text observed=2026-08-04T07:40:26.597012Z digest=sha256:25c1349b9f46355d92a804d8a42a89ff574fca6d9a13d78bb8e6d1a06934a893

Observation cc4fc8ae-9727-4490-9bda-346b7a667325 · outbound

This paper cites A Low-Latency Library in FPGA Hardware for High-Frequency Trading (HFT),.

In-Network Market Prediction Using Machine Learning and Limit Order Books A Low-Latency Library in FPGA Hardware for High-Frequency Trading (HFT),

Reference 29

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source=pdf_text observed=2026-08-04T07:40:26.651217Z digest=sha256:b51907e41b4cf539c18a74a582098b7024071176b956f6948044a9d52c964041

Observation ce561505-092d-4662-a900-acfccef75689 · outbound

This paper cites SDN Security: A Survey,.

In-Network Market Prediction Using Machine Learning and Limit Order Books SDN Security: A Survey,

Reference 30

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source=pdf_text observed=2026-08-04T07:40:26.717517Z digest=sha256:fd362fcd66fa8603dc7dadf5882a538b79ac57968a52442ae1a3437c1b8be092

Observation 8045aae5-98e7-4a3b-8d23-db0b53ab6bea · outbound

This paper cites P4: Programming Protocol-Independent Packet Processors,.

In-Network Market Prediction Using Machine Learning and Limit Order Books P4: Programming Protocol-Independent Packet Processors,

Reference 31

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source=pdf_text observed=2026-08-04T07:40:26.798950Z digest=sha256:d53897b2de69c12ba3074fce84089e05ad8e21601fda6c09968446ead0ec763d

Observation 96b25dc4-3900-4961-a35a-9d131bc794cc · outbound

This paper cites McKeown,PISA: Protocol Independent Switch Architecture, 2015, P4 Workshop.

In-Network Market Prediction Using Machine Learning and Limit Order Books McKeown,PISA: Protocol Independent Switch Architecture, 2015, P4 Workshop

Reference 32

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source=pdf_text observed=2026-08-04T07:40:26.853700Z digest=sha256:a8ebff33f618a61ec43cc77b0e911b470ce447dde0dacaab68256b94260fd56f

Observation ef63a439-94e5-4218-aa3d-730261555fab · outbound

This paper cites P4Pi: P4 on Raspberry Pi for Networking Education,.

In-Network Market Prediction Using Machine Learning and Limit Order Books P4Pi: P4 on Raspberry Pi for Networking Education,

Reference 33

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source=pdf_text observed=2026-08-04T07:40:26.906887Z digest=sha256:c56f6e555acc1565ba7d4451c6e7f8f522e226e25de868649860b94281839ad7

Observation d8837ec4-e588-4d87-99a6-8a5d6a052a64 · outbound

This paper cites The P4→NetFPGA Workflow for Line-Rate Packet Processing,.

In-Network Market Prediction Using Machine Learning and Limit Order Books The P4→NetFPGA Workflow for Line-Rate Packet Processing,

Reference 34

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source=pdf_text observed=2026-08-04T07:40:26.957001Z digest=sha256:aaea920bf2eb10972180a4945523004f6dec4076ab5eb4509f73389417eb1c15

Observation 0a87b73a-5a3d-4b71-a78f-b9706394dc6a · outbound

This paper cites NetCache: Balancing Key-Value Stores with Fast In- Network Caching,.

In-Network Market Prediction Using Machine Learning and Limit Order Books NetCache: Balancing Key-Value Stores with Fast In- Network Caching,

Reference 35

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source=pdf_text observed=2026-08-04T07:40:27.017457Z digest=sha256:0f0715b153d0c42a867726a1631e72191b80398757cbec3e75350bf0e7ef6487

Observation 8e37fda8-2490-4f8d-808f-fd9a1decbe11 · outbound

This paper cites P4xos: Consensus as a Network Service,.

In-Network Market Prediction Using Machine Learning and Limit Order Books P4xos: Consensus as a Network Service,

Reference 36

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source=pdf_text observed=2026-08-04T07:40:27.097394Z digest=sha256:136cbfdc31a764d88fe00a54de5bddd59e28ce9c56abe4b7d66a646236117696

Observation 0cb8ac89-91e4-4f34-818f-474059088715 · outbound

This paper cites Scaling Distributed Machine Learning with In-Network Aggregation.

In-Network Market Prediction Using Machine Learning and Limit Order Books Scaling Distributed Machine Learning with In-Network Aggregation

Reference 37

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source=pdf_text observed=2026-08-04T07:40:27.149553Z digest=sha256:a598c02e2fab73384ad051b109ce9a94ee23989327a32cb4d070c857760df223

Observation 2d827c1d-49f7-4943-90f8-e14dd02d0672 · outbound

This paper cites ATP: In-network Aggregation for Multi-tenant Learning,.

In-Network Market Prediction Using Machine Learning and Limit Order Books ATP: In-network Aggregation for Multi-tenant Learning,

Reference 38

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source=pdf_text observed=2026-08-04T07:40:27.221917Z digest=sha256:93df7fe62d42324744a80a9ef18827c342c779639536468f0d06d3a2bc83722d

Observation cb3bc7de-c61e-48a9-950d-28bbcc4b3676 · outbound

This paper cites Planter: Rapid Prototyping of In-Network Machine Learning Inference,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Planter: Rapid Prototyping of In-Network Machine Learning Inference,

Reference 39

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:40:27.260967Z digest=sha256:6b1297ca5ea2bd7b080121ff281af9cca81c048d5d3c871149f9491815ba1110

Observation 3532c501-f69a-457d-9bb8-be1f7c0ec38f · outbound

This paper cites SwitchTree: In-network Computing and Traffic Analyses with Random Forests,.

In-Network Market Prediction Using Machine Learning and Limit Order Books SwitchTree: In-network Computing and Traffic Analyses with Random Forests,

Reference 40

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source=pdf_text observed=2026-08-04T07:40:27.347304Z digest=sha256:309f02f3e648505b3ab3d13b3a1d7f447e3048d7b5cb5a466b82cc1902cd210b

Observation 5cfc758c-2c0f-4550-8c35-c3e87bd654bc · outbound

This paper cites Toward continuous threat defense: In-network traffic analysis for iot gateways,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Toward continuous threat defense: In-network traffic analysis for iot gateways,

Reference 41

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source=pdf_text observed=2026-08-04T07:40:27.531699Z digest=sha256:0c53a34365315cf50f8cff024d894cb95b356778c41db609fd125185d0a11cd6

Observation e4a0b142-355b-4ba6-98cd-e92e6df326c0 · outbound

This paper cites Automating In-Network Machine Learning.

In-Network Market Prediction Using Machine Learning and Limit Order Books Automating In-Network Machine Learning

Reference 42

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source=pdf_text observed=2026-08-04T07:40:27.653634Z digest=sha256:d4fd76b10411dcb36d15f39d897efbe1062a2c869c5d5d0de314dceac6b0d6f7

Observation 3fc3bee1-5618-4e46-aaa7-67ee878916be · outbound

This paper cites Machine Learning for Microstructure Data-Driven Execution Algorithms,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Machine Learning for Microstructure Data-Driven Execution Algorithms,

Reference 43

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source=pdf_text observed=2026-08-04T07:40:27.785533Z digest=sha256:12aca09e8b5a1cf125bdc03d203b271f4033564c259d96da24d81a55b138afb9

Observation 66070cb2-cf23-4462-84b6-9003cc3b2722 · outbound

This paper cites Deep Learning for Market by Order Data,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Deep Learning for Market by Order Data,

Reference 44

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source=pdf_text observed=2026-08-04T07:40:27.866952Z digest=sha256:f99b7d54bdccc49c3cd55ac43f868d7dd6b6ca8a97d6b0ffbe364b426f18a506

Observation 7cb8416b-1b38-45c1-b3e4-093837ddb1b8 · outbound

This paper cites Limit Order Books,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Limit Order Books,

Reference 45

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source=pdf_text observed=2026-08-04T07:40:27.924414Z digest=sha256:1db1655dcc623fc683e396bb0e8b5a154f3b66e7c0ada4ea62e5343ef72aa683

Observation c12d6807-3995-46bd-a08f-c3ab055b4ee3 · outbound

This paper cites Limit Order Markets: A Survey,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Limit Order Markets: A Survey,

Reference 46

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source=pdf_text observed=2026-08-04T07:40:27.972499Z digest=sha256:7a27ff0aa841bf8952e7d80648bdaa076feeb35fa1ac8d900f400e0c7dac1e12

Observation fd51ecdd-67af-496d-80d2-6810825878fa · outbound

This paper cites IIsy: Hybrid In-Network Classification Using Pro- grammable Switches,.

In-Network Market Prediction Using Machine Learning and Limit Order Books IIsy: Hybrid In-Network Classification Using Pro- grammable Switches,

Reference 47

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source=pdf_text observed=2026-08-04T07:40:28.038554Z digest=sha256:8bbcbfc01bf6fe2e7f4c5b7c9b13ce98cdb67d22c8db3bf775910385e73455a4

Observation 3db57ea6-bc7b-4677-9f29-8442ac81bf78 · outbound

This paper cites Compiling P4 to eBPF,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Compiling P4 to eBPF,

Reference 48

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source=pdf_text observed=2026-08-04T07:40:28.173599Z digest=sha256:3cf260dd20fd8bfd31c4faf174e9a49618efb828d3e7a79c8efe2c68ff0cce5a

Observation f44260ef-ed33-448d-9126-ec489844dda6 · outbound

This paper cites BF6064X-T Advanced Programmable Switch,.

In-Network Market Prediction Using Machine Learning and Limit Order Books BF6064X-T Advanced Programmable Switch,

Reference 49

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source=pdf_text observed=2026-08-04T07:40:28.326896Z digest=sha256:a024c4f6c2e3829ac43b2dd99766d3cccb557f4bdb211eccfe358fec29e9aea9

Observation 091f2d92-72bf-4be6-b96c-ca2bed49c05c · outbound

This paper cites A Survey on Data Plane Programming with P4: Fundamentals, Advances, and Applied Research,.

In-Network Market Prediction Using Machine Learning and Limit Order Books A Survey on Data Plane Programming with P4: Fundamentals, Advances, and Applied Research,

Reference 50

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source=pdf_text observed=2026-08-04T07:40:28.472393Z digest=sha256:21e89142d0ba49ccbc1fa8b9d35d6379f5517dbb2cddd45ca8bc5a9efc4d0e6b

Observation f39590ed-f1bf-4010-bd3a-5003d166b3fe · outbound

This paper cites Nasdaq ITCH Data Source,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Nasdaq ITCH Data Source,

Reference 51

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source=pdf_text observed=2026-08-04T07:40:28.637110Z digest=sha256:9b04deca74709ed27e2b2943eddaa4a2a4c1684f76a6f60873dffc2ae4cfcd1d

Observation 8c847f39-3011-415e-ab24-233e62e48ec0 · outbound

This paper cites Nasdaq TotalView-ITCH 5.0,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Nasdaq TotalView-ITCH 5.0,

Reference 52

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source=pdf_text observed=2026-08-04T07:40:28.783267Z digest=sha256:07732eb7210fe4f247da6a92f48697b303dd3bed790aa7301fb6b91695840433

Observation 020febfd-2915-4986-85f0-1091235098a1 · outbound

This paper cites martinobdl/ITCH: ITCH50Converter,.

In-Network Market Prediction Using Machine Learning and Limit Order Books martinobdl/ITCH: ITCH50Converter,

Reference 53

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source=pdf_text observed=2026-08-04T07:40:28.895810Z digest=sha256:f01b3033a6e2ee581da87a656691445abc9368f068f1d64f49d6a7a6cf2026f8

Observation ffca1dbd-e52b-43cf-84c7-27f6796b89e4 · outbound

This paper cites Scikit-learn: Machine Learning in Python,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Scikit-learn: Machine Learning in Python,

Reference 54

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source=pdf_text observed=2026-08-04T07:40:29.131296Z digest=sha256:e914200182694dbd2311b6783bec4e0b4ccb77864c2e241fb6dbcecda9096ae4

Observation 0f71c47d-b995-4459-98b3-972f1b96b315 · outbound

This paper cites SMOTE: Synthetic Minority Over-sampling Technique,.

In-Network Market Prediction Using Machine Learning and Limit Order Books SMOTE: Synthetic Minority Over-sampling Technique,

Reference 55

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source=pdf_text observed=2026-08-04T07:40:29.222668Z digest=sha256:e854afbf8e52d797d8b5cf0a916479c26ca799d84aa1b3c01c871d725fff9de8

Observation 78f91e11-c1a5-4a7d-95fb-6145bdb79e7f · outbound

This paper cites Latency and Liquidity Provision in a Limit Order Book,.

In-Network Market Prediction Using Machine Learning and Limit Order Books Latency and Liquidity Provision in a Limit Order Book,

Reference 56

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source=pdf_text observed=2026-08-04T07:40:29.392669Z digest=sha256:bac9f53688e4dce6f8d9c71ed631b78a06b63a3f01cd1f40e13e6be64a40bbd2

Observation 9591d68b-951d-4c41-a79e-4c076dc98908 · outbound

This paper cites DINC: Toward Distributed In-Network Computing,.

In-Network Market Prediction Using Machine Learning and Limit Order Books DINC: Toward Distributed In-Network Computing,

Reference 57

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source=pdf_text observed=2026-08-04T07:40:29.568923Z digest=sha256:2a25ac47b5fbe7cfd85217efd3996a313fb1b570debd52516a0f7ad7a9fb2720

Observation e91439d9-86aa-4d61-b4c9-d72c923b378a · outbound

This paper cites JAX-LOB: A GPU-Accelerated Limit Order Book Simulator to Unlock Large Scale Reinforcement Learning for Trading,.

In-Network Market Prediction Using Machine Learning and Limit Order Books JAX-LOB: A GPU-Accelerated Limit Order Book Simulator to Unlock Large Scale Reinforcement Learning for Trading,

Reference 58

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source=pdf_text observed=2026-08-04T07:40:29.690812Z digest=sha256:3ef7b62763fcebbd697fee6cc21262ef04bb922a4cc0e3e63d92bbbf314f2982

Observation 6df42d4c-97fb-4e82-817b-1df55381cb2b · outbound

This paper cites Available: https://zenodo.org/record/5209267.

In-Network Market Prediction Using Machine Learning and Limit Order Books Available: https://zenodo.org/record/5209267

Reference 2021

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source=pdf_text observed=2026-08-04T07:40:29.010382Z digest=sha256:b92e290d0ecd77f88c9fa4ff6dce58e936f7bf7f3a62ce6883f1a8be0ec6ab0e

Pith citing papers

No inbound Pith citation observations are available.