Paper Citation Record · LEDGER

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.06356.

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

pith.paper-citation-record.v1
2506.06356 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:30:19.339196Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

21 of 21 outbound references displayed

verified exact0
verified fuzzy21
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e1a107d-56e3-475a-9aea-2bcc99a572dc · outbound

This paper cites Common risk factors in the ret urns on stocks and bonds,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market Common risk factors in the ret urns on stocks and bonds,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.588053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cd784ea5-b83d-4cbf-85e3-1cb317f508c4 · outbound

This paper cites On persistence in mutual fund performanc e,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market On persistence in mutual fund performanc e,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.577615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f86c7a16-9d75-4287-a4c1-ea7693354eec · outbound

This paper cites Consumer credit-r isk models via machine-learning algorithms,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market Consumer credit-r isk models via machine-learning algorithms,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.567120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 479ff026-0ddc-4782-b822-4da963f4209d · outbound

This paper cites Deep learning with long short- term memory networks for ﬁnancial market predictions,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market Deep learning with long short- term memory networks for ﬁnancial market predictions,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.555854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation feef5607-eee0-41a3-9fc0-00a9bbe971e5 · outbound

This paper cites Financia l time series forecasting with deep learning: A systematic litera ture review: 2005–2019,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market Financia l time series forecasting with deep learning: A systematic litera ture review: 2005–2019,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.545673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fb9001dd-f427-4e7f-bd13-90ac83a0b48d · outbound

This paper cites Informer: Beyond efﬁcient transformer f or long se- quence time-series forecasting,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market Informer: Beyond efﬁcient transformer f or long se- quence time-series forecasting,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.534815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 95f44e2e-4cec-4c93-99c2-50b11c55b292 · outbound

This paper cites and the cross-sectio n of expected returns,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market and the cross-sectio n of expected returns,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.524027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b1e1f1c9-8c69-440b-b6ab-e5e4d4900798 · outbound

This paper cites The real value of China’s stock market,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market The real value of China’s stock market,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.513432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2cd56270-5581-4403-bf16-3f411daa814a · outbound

This paper cites Machine learning f or stock selection and portfolio optimization in Chinese A-sh are market,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market Machine learning f or stock selection and portfolio optimization in Chinese A-sh are market,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.503642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation be94a1fe-ecd5-4581-92ed-0f241d45bd0d · outbound

This paper cites Dynamic conditional correlation: A simpl e class of multivariate generalized autoregressive conditional het eroskedasticity models,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market Dynamic conditional correlation: A simpl e class of multivariate generalized autoregressive conditional het eroskedasticity models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.493110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ae309848-0a59-4a20-89e6-20e837925540 · outbound

This paper cites Financial time se ries prediction using hybrids of chaos theory, multi-layer perceptron and m ulti-objective evolutionary algorithms,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market Financial time se ries prediction using hybrids of chaos theory, multi-layer perceptron and m ulti-objective evolutionary algorithms,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.481366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 755e93c6-fdfe-4d0a-adce-4dbe34c0d308 · outbound

This paper cites A new interpretation of information rat e,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market A new interpretation of information rat e,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.469644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c0f24e43-3adb-4b39-a4ad-199fbbb72691 · outbound

This paper cites The Kelly criterion in blackjack sports be tting, and the stock market,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market The Kelly criterion in blackjack sports be tting, and the stock market,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.458699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a4fbda0a-99fc-4de6-9b2a-cbb09a3c145b · outbound

This paper cites Optimal execution of portfol io transactions,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market Optimal execution of portfol io transactions,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ca8a53be-40cc-4ad0-b12a-130e8cddf89a · outbound

This paper cites Cartea, S.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market Cartea, S

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.438439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 02d198cd-ff95-4370-b9fa-ec02c5f7b1ca · outbound

This paper cites A reﬁnement to the Sharpe ratio and inf ormation ratio,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market A reﬁnement to the Sharpe ratio and inf ormation ratio,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.427666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b19a040-41c1-44b4-ab35-e80c2a3c71c3 · outbound

This paper cites Risks and portfolio decision s involving hedge funds,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market Risks and portfolio decision s involving hedge funds,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.416270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ee2d152c-a583-432b-82c7-9bdbddc6e67c · outbound

This paper cites Big data and AI s trategies: Machine learning and alternative data approach to investin g,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market Big data and AI s trategies: Machine learning and alternative data approach to investin g,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.405124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 18dcfdd9-2678-47fe-9959-fe99614c54b1 · outbound

This paper cites Twitter mood predicts th e stock market,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market Twitter mood predicts th e stock market,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.393312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6070c3c5-65aa-405a-b39e-73569bf748a1 · outbound

This paper cites Forecastin g the equity risk premium: the role of technical indicators,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market Forecastin g the equity risk premium: the role of technical indicators,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.381712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1fc3b37e-3447-4a0a-8a46-b372f4c1bb18 · outbound

This paper cites Empirical asset pricing via machine learning,.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market Empirical asset pricing via machine learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:19.369907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.