Paper Citation Record · LEDGER

Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning

As of 14 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2412.01062.

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

pith.paper-citation-record.v1
2412.01062 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:47:28.640265Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

10 of 10 outbound references displayed

verified exact0
verified fuzzy10
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 129ca917-dbcc-4572-b143-0aa92c913dc0 · outbound

This paper cites Algorithmic Trading Strategies: Real-Time Data Analytics with Machine Learning.

Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning Algorithmic Trading Strategies: Real-Time Data Analytics with Machine Learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:47:28.766502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3eba79d7-40da-401a-b8f8-d83d8cc589ac · outbound

This paper cites Efficient Continuous Space Policy Optimization for High-frequency Trading.

Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning Efficient Continuous Space Policy Optimization for High-frequency Trading

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:47:28.756184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 803abd4d-2cac-4d77-b3b2-6469f6717d8c · outbound

This paper cites Novel modelling strategies for high-frequency stock trading data.

Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning Novel modelling strategies for high-frequency stock trading data

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:47:28.744781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cb7ddd70-f0d0-4c69-9548-f6b479a76603 · outbound

This paper cites Major Issues in High-frequency Financial Data Analysis: A Survey of Solutions.

Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning Major Issues in High-frequency Financial Data Analysis: A Survey of Solutions

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:47:28.734122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 32656001-89b1-4177-b166-1e8977655633 · outbound

This paper cites HFTViz: Visualization for the exploration of high frequency trading data.

Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning HFTViz: Visualization for the exploration of high frequency trading data

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:47:28.723099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8fb98e22-07f3-48fd-a442-36f30804317d · outbound

This paper cites Deep adaptive input normalization for time series forecasting.

Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning Deep adaptive input normalization for time series forecasting

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:47:28.712153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 43bf0efb-1475-4756-bb67-c4a3e7cc9c73 · outbound

This paper cites Forecasting stock index futures intraday returns: Functional time series model.

Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning Forecasting stock index futures intraday returns: Functional time series model

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:47:28.702033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9ef60684-3a6a-43b2-9903-d3430e500f89 · outbound

This paper cites Non-stationary transformers: Exploring the stationarity in time series forecasting.

Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning Non-stationary transformers: Exploring the stationarity in time series forecasting

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:47:28.691378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f2f71b35-b57a-4ba3-9a57-92e23aa97cae · outbound

This paper cites Dynamic feature selection algorithm based on Q- learning mechanism.

Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning Dynamic feature selection algorithm based on Q- learning mechanism

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:47:28.681067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 517ecbe7-d6ee-4b82-8eae-ed1ed80ddb6f · outbound

This paper cites Reinforcement Learning based Evolutionary Metric Filtering for High Dimensional Problems.

Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning Reinforcement Learning based Evolutionary Metric Filtering for High Dimensional Problems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:47:28.669965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.