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Paper Citation Record · LEDGER

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures

As of 22 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 0 inbound Pith citation observations for arXiv:2607.13916.

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

pith.paper-citation-record.v1
2607.13916 v1

Coverage vector

measured 90 of 90 reference resolution

Typed states for the displayed outbound observations.

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

90 of 90 outbound references displayed

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Outbound references

Observation 777ca44d-ccbd-4dbe-988c-552823601766 · outbound

This paper cites Do cryptocurrency exchanges fake trading volumes? An empirical analysis of wash trading based on data mining.Physica A2022,586, 126405.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Do cryptocurrency exchanges fake trading volumes? An empirical analysis of wash trading based on data mining.Physica A2022,586, 126405

Reference 2

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Observation 3a8f350d-f662-4ea9-b46d-39b69ee46aaa · outbound

This paper cites Trading Volume Manipulation and Competition Among Centralized Crypto Exchanges.Management Science2025,71, 8604–8622.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Trading Volume Manipulation and Competition Among Centralized Crypto Exchanges.Management Science2025,71, 8604–8622

Reference 3

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Observation a644848b-0e4c-428a-823f-686acbc89f99 · outbound

This paper cites Wash trading at cryptocurrency exchanges.Finance Research Letters2021, 43, 101982.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Wash trading at cryptocurrency exchanges.Finance Research Letters2021, 43, 101982

Reference 4

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Observation 6d575997-971d-457d-b91c-e3e49fbd2d6c · outbound

This paper cites Detecting and Quantifying Wash Trading on Decentralized Cryptocurrency Exchanges.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Detecting and Quantifying Wash Trading on Decentralized Cryptocurrency Exchanges

Reference 5

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0fd009a0-d638-4f03-83f7-433005ffffc2 · outbound

This paper cites Crypto Wash Trading.Management Science2023,69, 6427–6454.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Crypto Wash Trading.Management Science2023,69, 6427–6454

Reference 6

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Observation 4c3b3106-2005-4737-b99c-618a683d63be · outbound

This paper cites Wash Trading Detection Techniques for Centralised Cryptocurrency Exchange Services.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Wash Trading Detection Techniques for Centralised Cryptocurrency Exchange Services

Reference 7

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Observation 642f51d2-47a0-44e2-a8ad-3d99aa609c27 · outbound

This paper cites Determinants of wash trading in major cryptoexchanges.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Determinants of wash trading in major cryptoexchanges

Reference 8

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Observation d7cb78c6-1b7b-48c1-997e-825dd9544f65 · outbound

This paper cites Approaching Multifractal Complexity in Decentralized Cryptocurrency Trading.Fractal and Fractional2024,8.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Approaching Multifractal Complexity in Decentralized Cryptocurrency Trading.Fractal and Fractional2024,8

Reference 9

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Observation c9c504c4-e956-45e6-869a-fd2c21aee43f · outbound

This paper cites Characteristics of price related fluctuations in non-fungible token (NFT) market.Chaos2024,34, 013108.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Characteristics of price related fluctuations in non-fungible token (NFT) market.Chaos2024,34, 013108

Reference 10

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ae3f3211-1c96-4be1-9951-4c98ce604a4f · outbound

This paper cites Correlations versus noise in the NFT market.Chaos2024, 34, 073112.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Correlations versus noise in the NFT market.Chaos2024, 34, 073112

Reference 11

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Observation b0c2c275-02ac-4c41-a080-6c8edc32e98d · outbound

This paper cites Understanding Flash-Loan-based Wash Trading.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Understanding Flash-Loan-based Wash Trading

Reference 12

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Observation 18fca069-65e8-40fa-9b06-8e082ce1c34a · outbound

This paper cites Patterns and centralisation in Ethereum-based token transaction networks.Frontiers in Physics2024,12, 1305167.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Patterns and centralisation in Ethereum-based token transaction networks.Frontiers in Physics2024,12, 1305167

Reference 13

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Observation 57b7f5b2-654a-41c9-b141-e35d49536ee6 · outbound

This paper cites The Dark Side of NFTs: A Large-Scale Empirical Study of Wash Trading.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures The Dark Side of NFTs: A Large-Scale Empirical Study of Wash Trading

Reference 14

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Observation 119da581-7d9e-41f2-ab05-d54a314e74e4 · outbound

This paper cites Exposing Stealthy Wash Trading on Automated Market Maker Exchanges.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Exposing Stealthy Wash Trading on Automated Market Maker Exchanges

Reference 15

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Observation 67ba074a-b1c5-45ba-9fd2-5a4806481396 · outbound

This paper cites Unveiling Wash Trading in Popular NFT Markets.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Unveiling Wash Trading in Popular NFT Markets

Reference 16

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Observation 2950a433-62b4-4431-8823-5f4c165b3e7c · outbound

This paper cites Beyond the surface: advanced wash-trading detection in decentralized NFT markets.Financial Innovation2025,11, 86.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Beyond the surface: advanced wash-trading detection in decentralized NFT markets.Financial Innovation2025,11, 86

Reference 17

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d9386133-711a-4df7-bd29-a52ef6ec7264 · outbound

This paper cites Physical approach to complex systems.Physics Reports2012,515, 115–226.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Physical approach to complex systems.Physics Reports2012,515, 115–226

Reference 18

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doi, observed 2026-08-02T03:23:26.758562Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation dde17902-2104-44e0-a20b-59c95ff108c3 · outbound

This paper cites Scaling behaviour in the dynamics of an economic index.Nature1995, 376, 46–49.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Scaling behaviour in the dynamics of an economic index.Nature1995, 376, 46–49

Reference 19

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Observation 5de65fc8-2d60-4415-b7da-18f04252ba48 · outbound

This paper cites Inverse cubic law for the distribution of stock price variations.The European Physical Journal B1998,3, 139–140.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Inverse cubic law for the distribution of stock price variations.The European Physical Journal B1998,3, 139–140

Reference 20

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Observation d8a967e8-5fa1-4b16-8cec-7a63063214e1 · outbound

This paper cites Scaling of the distribution of fluctuations of financial market indices.Physical Review E1999,60, 5305–5316.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Scaling of the distribution of fluctuations of financial market indices.Physical Review E1999,60, 5305–5316

Reference 21

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Observation 9e1e0c00-2faa-46a3-b9eb-4d7d9e5b9611 · outbound

This paper cites Empirical properties of asset returns: stylized facts and statistical issues.Quantitative Finance2001, 1, 223–236.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Empirical properties of asset returns: stylized facts and statistical issues.Quantitative Finance2001, 1, 223–236

Reference 22

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Observation 1cebb700-e34c-4bb8-bee5-5d8ded657b61 · outbound

This paper cites Price impact.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Price impact

Reference 23

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Observation cad736a7-ea60-44d6-a4f2-bbe2e199bbcf · outbound

This paper cites International Financial Markets Through 150 Years: Evaluating Stylized Facts.The Journal of Finance and Data Science2026, p.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures International Financial Markets Through 150 Years: Evaluating Stylized Facts.The Journal of Finance and Data Science2026, p

Reference 24

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Observation 4783f036-7e57-4541-92a1-7d9bc38c92e0 · outbound

This paper cites Scaling properties of extreme price fluctuations in Bitcoin markets.Physica A2018,510, 400–406.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Scaling properties of extreme price fluctuations in Bitcoin markets.Physica A2018,510, 400–406

Reference 25

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source=pdf_text observed=2026-08-02T03:22:03.561628Z digest=sha256:3b26547bdc197c1e46d7fdcee7ae4ef6459c09f2f14c7055e929c8aaa75f0976

Observation d7762f3f-66c1-4016-ac18-c2c73ec0b2c6 · outbound

This paper cites Bitcoin market route to maturity? Evidence from return fluctuations, temporal correlations and multiscaling effects.Chaos2018,28, 071101.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Bitcoin market route to maturity? Evidence from return fluctuations, temporal correlations and multiscaling effects.Chaos2018,28, 071101

Reference 26

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c6c901c1-aa54-4b14-86f5-9e72a26d3660 · outbound

This paper cites Signatures of the crypto-currency market decoupling from the Forex.Future Internet2019,11.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Signatures of the crypto-currency market decoupling from the Forex.Future Internet2019,11

Reference 27

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7ddcb93b-7c0f-4e18-a813-66b9e5a2e513 · outbound

This paper cites Complexity in economic and social systems: Cryptocurrency market at around COVID-19.Entropy2020,22, 1043.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Complexity in economic and social systems: Cryptocurrency market at around COVID-19.Entropy2020,22, 1043

Reference 28

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 77f88925-36bf-4dc5-af26-59d894aa708f · outbound

This paper cites Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-19.Physica A2021,565, 125581.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-19.Physica A2021,565, 125581

Reference 29

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Observation 15ee0afd-c1ee-4f64-bb98-e7046482f215 · outbound

This paper cites Stylized facts of cryptocurrency markets: Robust definitions and inference approaches.Emerging Markets Review2026,72, 101440.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Stylized facts of cryptocurrency markets: Robust definitions and inference approaches.Emerging Markets Review2026,72, 101440

Reference 30

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Observation 2c5558c7-7449-4a83-9c19-d4f0fd81c120 · outbound

This paper cites Statistical properties and multifractality of Bitcoin.Physica A2018,506, 507–519.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Statistical properties and multifractality of Bitcoin.Physica A2018,506, 507–519

Reference 31

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Observation 4f703445-6ce8-4b16-a303-256a16165043 · outbound

This paper cites Multifractal analysis of Bitcoin market.Physica A 2018,512, 954–967.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Multifractal analysis of Bitcoin market.Physica A 2018,512, 954–967

Reference 32

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Observation e69b8d4d-579f-45f5-ad77-e804d9e1e60f · outbound

This paper cites an unresolved cited work.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-02T03:22:04.562237Z digest=sha256:0b1ddd50dab54bd8e69d7b79a180e37fb1f53e4d55c623a0742230921378082e

Observation 92f23672-ff61-475d-939f-30a13f0466e4 · outbound

This paper cites The high frequency multifractal properties of Bitcoin.Physica A2019,520, 62–71.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures The high frequency multifractal properties of Bitcoin.Physica A2019,520, 62–71

Reference 34

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3ade9c20-b606-4c0b-8363-1e192251f40c · outbound

This paper cites Multifractal behavior of price and volume changes in the cryptocurrency market.Physica A2019,520, 54–61.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Multifractal behavior of price and volume changes in the cryptocurrency market.Physica A2019,520, 54–61

Reference 35

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 939893f8-d461-491c-abbe-9f2bcc8b36a6 · outbound

This paper cites Market efficiency, liquidity, and multifractality of Bitcoin: A dynamic study.Asia- Pacific Financial Markets2020,27, 145–154.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Market efficiency, liquidity, and multifractality of Bitcoin: A dynamic study.Asia- Pacific Financial Markets2020,27, 145–154

Reference 36

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no resolver link, observed 2026-08-02T03:22:04.929374Z

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source=pdf_text observed=2026-08-02T03:22:04.929374Z digest=sha256:3a98112711f687a9a311b38727261796fe2e904685925bd3859331286e8a06b5

Observation 846772bc-4ccd-4565-8a4e-073e906f223a · outbound

This paper cites Long-range dependence, multi-fractality and volume-return causality of ether market.Chaos2020,30, 011101.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Long-range dependence, multi-fractality and volume-return causality of ether market.Chaos2020,30, 011101

Reference 37

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source=pdf_text observed=2026-08-02T03:22:05.131360Z digest=sha256:ee2172e30d2f586152304513c95406578abc12f64a473f96bec4928e95a9a123

Observation e280096f-c6ba-470b-baf7-d76c8b3e727b · outbound

This paper cites Analysis of inter-transaction time fluctuations in the cryptocurrency market.Chaos2022,32, 083142.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Analysis of inter-transaction time fluctuations in the cryptocurrency market.Chaos2022,32, 083142

Reference 38

Resolution
verified exact
doi, observed 2026-08-02T03:23:25.901796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:05.285700Z digest=sha256:9d14e97dcea01d161f725b89161e67b4a7fb58f2f9b75683a14d76e324ca4574

Observation 65a23a56-7b33-4e59-a8ad-5568ef21fe23 · outbound

This paper cites Cryptocurrency market efficiency in short- and long-term horizons during COVID- 19: An asymmetric multifractal analysis approach.Finance Research Letters2022,46, 102319.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Cryptocurrency market efficiency in short- and long-term horizons during COVID- 19: An asymmetric multifractal analysis approach.Finance Research Letters2022,46, 102319

Reference 39

Resolution
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no resolver link, observed 2026-08-02T03:22:05.467193Z

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source=pdf_text observed=2026-08-02T03:22:05.467193Z digest=sha256:e2a931dd6a00e8b4fac08d67458de95dc51cdb431f90631af902e8f2c97ce530

Observation e10f6500-fea5-4ed1-a6c1-1649ad8bfae9 · outbound

This paper cites Inner Multifractal Dynamics in the Jumps of Cryptocurrency and Forex Markets.Fractal and Fractional2024,8.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Inner Multifractal Dynamics in the Jumps of Cryptocurrency and Forex Markets.Fractal and Fractional2024,8

Reference 40

Resolution
verified exact
doi, observed 2026-08-02T03:23:25.761651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:05.671592Z digest=sha256:8ea06ed6814c02c559d5d6ef674abf380abe6bcb7ba9a0f8918908e9f770e4ee

Observation 9b5fe891-c6b1-4ac2-be42-2c8a156c3085 · outbound

This paper cites an unresolved cited work.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Unresolved cited work

Reference 41

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no resolver link, observed 2026-08-02T03:22:05.864580Z

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source=pdf_text observed=2026-08-02T03:22:05.864580Z digest=sha256:6bd579c2acbcceff563b1acdb97474709440c0ce8e35ffd852bebe32a84636fe

Observation 30187c59-1bb2-4a0b-976e-edb6bd756e29 · outbound

This paper cites Multifractal cross-correlations of bitcoin and ether trading characteristics in the post-COVID-19 time.Future Internet2022,14.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Multifractal cross-correlations of bitcoin and ether trading characteristics in the post-COVID-19 time.Future Internet2022,14

Reference 42

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no resolver link, observed 2026-08-02T03:22:06.075098Z

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source=pdf_text observed=2026-08-02T03:22:06.075098Z digest=sha256:8368416e8522b0c9bbfbc23fd0e11fc5faea741b8bba88e923206c3fd46d5a46

Observation 4c6814a9-f16d-465e-8235-f42442bbc954 · outbound

This paper cites What is mature and what is still emerging in the cryptocurrency market?Entropy2023,25.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures What is mature and what is still emerging in the cryptocurrency market?Entropy2023,25

Reference 43

Resolution
verified exact
doi, observed 2026-08-02T03:23:25.567967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:06.171651Z digest=sha256:48026494f0d218c96e7e41238bff685b42f4c6c97086c79ef9225b5bf0d724c8

Observation cb37f309-173c-4993-888f-e794f08095fa · outbound

This paper cites Detrended cross-correlation analysis: A new method for analyzing two nonstation- ary time series.Physical Review Letters2008,100, 084102.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Detrended cross-correlation analysis: A new method for analyzing two nonstation- ary time series.Physical Review Letters2008,100, 084102

Reference 44

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no resolver link, observed 2026-08-02T03:22:06.337993Z

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source=pdf_text observed=2026-08-02T03:22:06.337993Z digest=sha256:9ce32aa444725635bd55e512a4d2113ece962894f74d65ccaa1283e4b88f04e2

Observation a5762db8-31d6-4b66-b318-663e1c5c6aef · outbound

This paper cites DCCA cross-correlation coefficient: Quantifying level of cross-correlation.Physica A2011, 390, 614–618.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures DCCA cross-correlation coefficient: Quantifying level of cross-correlation.Physica A2011, 390, 614–618

Reference 45

Resolution
verified exact
doi, observed 2026-08-02T03:23:25.367792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:06.518105Z digest=sha256:47bb411f0d453248d89b4fd2349c24e8ab5cd3fd88690ed9f7f69cca5065849a

Observation 6f15b08a-9973-4a8f-9194-34f2f4587b3d · outbound

This paper cites Detrended fluctuation analysis made flexible to detect range of cross- correlated fluctuations.Physical Review E2015,92, 052815.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Detrended fluctuation analysis made flexible to detect range of cross- correlated fluctuations.Physical Review E2015,92, 052815

Reference 46

Resolution
verified exact
doi, observed 2026-08-02T03:23:25.183259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:06.632940Z digest=sha256:7d603d0375aaa9ff09030265a8f7b06fba952057a42bd62ff893ce24918d322f

Observation c14d6341-31bd-43f5-9d74-4067ef0c5d26 · outbound

This paper cites Approximate entropy as a measure of system complexity.Proceedings of the National Academy of Sciences1991,88, 2297–2301.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Approximate entropy as a measure of system complexity.Proceedings of the National Academy of Sciences1991,88, 2297–2301

Reference 47

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no resolver link, observed 2026-08-02T03:22:06.749137Z

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source=pdf_text observed=2026-08-02T03:22:06.749137Z digest=sha256:b31b1f9f94a94098682229e8e046888116b9314f1d36f30284a83214a66825d9

Observation 4091d582-f46c-4709-8c85-1928a0ab7547 · outbound

This paper cites Trading and arbitrage in cryptocurrency markets.Journal of Financial Economics2020, 135, 293–319.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Trading and arbitrage in cryptocurrency markets.Journal of Financial Economics2020, 135, 293–319

Reference 48

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no resolver link, observed 2026-08-02T03:22:06.822366Z

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source=pdf_text observed=2026-08-02T03:22:06.822366Z digest=sha256:41ce6e86031abb82e7403c6a5c7d0b4445359f30c1315774487feeb8822b3898

Observation dec0177e-bd56-46c0-9a01-e305bb0b4cf5 · outbound

This paper cites The Role of Binance in Bitcoin Volatility Transmission.Applied Mathematical Finance2022,29, 1–32.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures The Role of Binance in Bitcoin Volatility Transmission.Applied Mathematical Finance2022,29, 1–32

Reference 49

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no resolver link, observed 2026-08-02T03:22:06.867778Z

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source=pdf_text observed=2026-08-02T03:22:06.867778Z digest=sha256:64e1cecb04dd6ea9ca32fe97a6b23d4c991838e0643abb30de65bb6e78bdf055

Observation 6f6f982b-0f8f-4b6b-9fd9-3333c7f39ae0 · outbound

This paper cites Rise of the machines? Intraday high-frequency trading patterns of cryptocurrencies.The European Journal of Finance2021,27, 8–30.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Rise of the machines? Intraday high-frequency trading patterns of cryptocurrencies.The European Journal of Finance2021,27, 8–30

Reference 50

Resolution
verified exact
doi, observed 2026-08-02T03:23:24.987910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:06.951003Z digest=sha256:7e2297aad05850934f61d78a6f1f82d9c132a40668a851379a3dba9c1df9a35a

Observation aade19da-e6d6-48f8-8461-950ba04d35f2 · outbound

This paper cites Bitcoin spot and futures market microstructure.Journal of Futures Markets2021, 41, 194–225.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Bitcoin spot and futures market microstructure.Journal of Futures Markets2021, 41, 194–225

Reference 51

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no resolver link, observed 2026-08-02T03:22:07.024003Z

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source=pdf_text observed=2026-08-02T03:22:07.024003Z digest=sha256:963b5c92919c8347b698193aaa9f7ea6f7496b7ebb67b1dc144d8d5455cead1f

Observation e1baebb0-7670-4423-983d-ffb2f75955c0 · outbound

This paper cites Decomposing cryptocurrency high-frequency price dynamics into recurring and noisy components.Chaos2023,33, 083146.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Decomposing cryptocurrency high-frequency price dynamics into recurring and noisy components.Chaos2023,33, 083146

Reference 52

Resolution
verified exact
doi, observed 2026-08-02T03:23:24.847126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:07.105841Z digest=sha256:2b27f931ec4f120fdc111e08ba6ed3928aba0049781e56cb09328e777d187659

Observation 43e1dbd0-d828-4c2d-9fc6-6935456a91b7 · outbound

This paper cites Time-of-day periodicities of trading volume and volatility in Bitcoin exchange: Does the stock market matter?Finance Research Letters2020,36, 101303.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Time-of-day periodicities of trading volume and volatility in Bitcoin exchange: Does the stock market matter?Finance Research Letters2020,36, 101303

Reference 53

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no resolver link, observed 2026-08-02T03:22:07.244945Z

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source=pdf_text observed=2026-08-02T03:22:07.244945Z digest=sha256:a48f27af035b9a7172fadc4077d0bed3d03ea0ecaac47e7b53453cdb979aec46

Observation ade1f987-dddb-4fe5-a135-f92e40ca3e20 · outbound

This paper cites Periodicity in Cryptocurrency Volatility and Liquidity.Journal of Financial Econometrics2024,22, 224–251.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Periodicity in Cryptocurrency Volatility and Liquidity.Journal of Financial Econometrics2024,22, 224–251

Reference 54

Resolution
verified exact
doi, observed 2026-08-02T03:23:24.636844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:07.353941Z digest=sha256:f2a24071dd11615f4bd80cdd47bf58da5d865a54df5a7f8df2243ce3a4d70644

Observation 9b30c82f-14d4-42d2-b4e9-6c426bd71063 · outbound

This paper cites How investible is Bitcoin? Analyzing the liquidity and transaction costs of Bitcoin markets.Economics Letters2018,171, 140–143.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures How investible is Bitcoin? Analyzing the liquidity and transaction costs of Bitcoin markets.Economics Letters2018,171, 140–143

Reference 55

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doi, observed 2026-08-02T03:23:24.521611Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:07.456925Z digest=sha256:556fcd566293ebd4695e7338f0271c264985d7747f9967eebca3df324ceaa67a

Observation e94bcd2f-8b67-4e33-806e-43e0c125d830 · outbound

This paper cites Multifractal detrended fluctuation analysis of nonstationary time series.Physica A2002,316, 87–114.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Multifractal detrended fluctuation analysis of nonstationary time series.Physica A2002,316, 87–114

Reference 56

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no resolver link, observed 2026-08-02T03:22:07.571982Z

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source=pdf_text observed=2026-08-02T03:22:07.571982Z digest=sha256:d7b0f8743970d20436d5bbabd24376a23601d4e841f6771d2cdb90351f0fba6e

Observation e1ae0c41-3c8f-483d-b0ac-17832fb984f7 · outbound

This paper cites Mosaic organization of DNA nucleotides.Physical Review E1994,49, 1685–1689.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Mosaic organization of DNA nucleotides.Physical Review E1994,49, 1685–1689

Reference 57

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no resolver link, observed 2026-08-02T03:22:07.680731Z

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source=pdf_text observed=2026-08-02T03:22:07.680731Z digest=sha256:344da94ae269bbfa0984aa9224645eed7ddaf3f7ddc3dfe9e3e94356db840b25

Observation 1efd0436-6303-42a7-a32f-14a2540b9aee · outbound

This paper cites Multifractal detrended cross-correlation analysis for two nonstationary signals.Physical Review E2008,77, 066211.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Multifractal detrended cross-correlation analysis for two nonstationary signals.Physical Review E2008,77, 066211

Reference 58

Resolution
verified exact
doi, observed 2026-08-02T03:23:24.404207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:07.795063Z digest=sha256:f994e2869bb2739d45121cb55dfbb08272dc9e5bc5d5a3686f4f827bdbf357dc

Observation 128a569e-e3ca-4e90-80c9-ee8eb999ace5 · outbound

This paper cites Detrended cross-correlation analysis consistently extended to multifractality.Physical Review E2014,89, 023305.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Detrended cross-correlation analysis consistently extended to multifractality.Physical Review E2014,89, 023305

Reference 59

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no resolver link, observed 2026-08-02T03:22:07.910415Z

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source=pdf_text observed=2026-08-02T03:22:07.910415Z digest=sha256:62d1ed7e37c070bad8f0f3bf8519478372079aa4d31a529446f007e705796c24

Observation 74af6eb0-55f5-4961-a92f-11e4e39545f4 · outbound

This paper cites Multifractal analysis of financial markets: A review.Reports on Progress in Physics2019,82, 125901.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Multifractal analysis of financial markets: A review.Reports on Progress in Physics2019,82, 125901

Reference 60

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verified exact
doi, observed 2026-08-02T03:23:24.291406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:08.047030Z digest=sha256:13e050f60f20877868918d3c5d92c325a47cf8b47c65eb4bfb6d1af2117a939d

Observation f7d355c1-794c-4ff4-b25f-7170c9f1bdad · outbound

This paper cites Genuine multifractality in time series is due to temporal correlations.Physical Review E2023,107, 034139.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Genuine multifractality in time series is due to temporal correlations.Physical Review E2023,107, 034139

Reference 61

Resolution
verified exact
doi, observed 2026-08-02T03:23:24.176579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:08.218013Z digest=sha256:6294b0a73e44eb2f8b0ba4a1bff96b92ccb3c3fc93877a0c1e11cdc4ce5a841d

Observation a60ef605-a198-49a1-897b-cb0f449e7637 · outbound

This paper cites Multifractality and its sources in the digital currency market.Future Internet2025,17.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Multifractality and its sources in the digital currency market.Future Internet2025,17

Reference 62

Resolution
verified exact
doi, observed 2026-08-02T03:23:24.076658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:08.333129Z digest=sha256:b127401a9f69ec871990bf0f2f419a070b54cc4593658bdf8dccd43024399c7d

Observation a3708910-284d-4390-8f4a-d7126171f049 · outbound

This paper cites Effect of Detrending on Multifractal Characteristics.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Effect of Detrending on Multifractal Characteristics

Reference 63

Resolution
verified exact
doi, observed 2026-08-02T03:23:23.950983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:08.384473Z digest=sha256:8311f202607c2bc161d48a6019c66d7ccbe6d0e2f9f51c7ace54afc1731f3a6e

Observation 2311d527-1039-453e-96ed-a4a0d2759d30 · outbound

This paper cites Fractal measures and their singularities: The characterization of strange sets.Physical Review A1986,33, 1141–1151.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Fractal measures and their singularities: The characterization of strange sets.Physical Review A1986,33, 1141–1151

Reference 64

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source=pdf_text observed=2026-08-02T03:22:08.457185Z digest=sha256:4241ba220fe751eef6632d1f12bfc364c17d4e55df7992b8ffa03d8c48eb4008

Observation 11f762bb-89d0-43b0-8032-ff1b80afbe18 · outbound

This paper cites Detecting and interpreting distortions in hierarchical organization of complex time series.Physical Review E2015,91, 030902.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Detecting and interpreting distortions in hierarchical organization of complex time series.Physical Review E2015,91, 030902

Reference 65

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no resolver link, observed 2026-08-02T03:22:08.514259Z

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source=pdf_text observed=2026-08-02T03:22:08.514259Z digest=sha256:fcfd333291219db351dfbc85e1f9e8c55cc0592e0c802830048f08acfc1bd35d

Observation a8946540-ea06-410f-ab47-be5ba0ad8944 · outbound

This paper cites Physiological time-series analysis using approximate entropy and sample entropy.American Journal of Physiology-Heart and Circulatory Physiology2000,278, H2039–H2049.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Physiological time-series analysis using approximate entropy and sample entropy.American Journal of Physiology-Heart and Circulatory Physiology2000,278, H2039–H2049

Reference 66

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no resolver link, observed 2026-08-02T03:22:08.570402Z

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source=pdf_text observed=2026-08-02T03:22:08.570402Z digest=sha256:09bcec1c8252d6d1b27d17828c66a57904dde7a8cd1c5a7d4526a2e8b709f555

Observation 94a50068-c650-4855-89da-b2a02b50dae6 · outbound

This paper cites https://www.binance.com/.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures https://www.binance.com/

Reference 67

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no resolver link, observed 2026-08-02T03:22:08.575872Z

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source=pdf_text observed=2026-08-02T03:22:08.575872Z digest=sha256:24b3002295297a926c24863e9241301100a12d697ab6bb9659c3cc2132554714

Observation c821ab6a-8c66-4510-a6a0-11bb304d10d9 · outbound

This paper cites https://www.bitget.com/.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures https://www.bitget.com/

Reference 68

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no resolver link, observed 2026-08-02T03:22:08.713847Z

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source=pdf_text observed=2026-08-02T03:22:08.713847Z digest=sha256:aac5305994bd5195869b2368fcd5ea6ff42bd60b0fd08150c38928ece9b185fa

Observation 4dd1abe6-2c03-4d93-8863-7d330c7eb179 · outbound

This paper cites https://www.kucoin.com/.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures https://www.kucoin.com/

Reference 69

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no resolver link, observed 2026-08-02T03:22:08.839954Z

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source=pdf_text observed=2026-08-02T03:22:08.839954Z digest=sha256:ce87baaa47335e0dcf9dc91bb3becb966d689855dc0d51acd75f38a36d974b65

Observation ecd2d604-9461-4d85-b20a-8fe1ac8dec18 · outbound

This paper cites https://www.kraken.com/.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures https://www.kraken.com/

Reference 70

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no resolver link, observed 2026-08-02T03:22:08.994483Z

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source=pdf_text observed=2026-08-02T03:22:08.994483Z digest=sha256:0e195b03fa6b2404e840b02ffc130f44fee5d44035ad75b28f5bf5a41845ea19

Observation d76527fa-1b3a-4283-8bcd-29e8892e0898 · outbound

This paper cites https://www.coingecko.com/en/exchanges.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures https://www.coingecko.com/en/exchanges

Reference 71

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no resolver link, observed 2026-08-02T03:22:09.130265Z

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source=pdf_text observed=2026-08-02T03:22:09.130265Z digest=sha256:c6141d0bb4c301c5073340ad622e426998a35c8d393c2092f17ca49406489cfb

Observation 72e9655d-2661-462d-8a74-ce19b6bbacc4 · outbound

This paper cites fat tails.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures fat tails

Reference 72

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source=pdf_text observed=2026-08-02T03:22:09.279378Z digest=sha256:110aa6c9f04bf338a2dd4ba5000ed9024b57f522e9808144f4f823b6a088056a

Observation 5c1d282b-be0f-4a1c-96b8-3231cefd4b5d · outbound

This paper cites The Variation of Certain Speculative Prices.The Journal of Business1963,36, 394–419.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures The Variation of Certain Speculative Prices.The Journal of Business1963,36, 394–419

Reference 73

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source=pdf_text observed=2026-08-02T03:22:09.378466Z digest=sha256:d46202eee8f51342ed075888354b8b1765aad194cd0acd82c8efbd191a141008

Observation c7d55ef4-84af-4208-a268-134ab54574fd · outbound

This paper cites Financial return distributions: Past, present, and covid-19.Entropy 2021,23, 884.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Financial return distributions: Past, present, and covid-19.Entropy 2021,23, 884

Reference 74

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:09.479889Z digest=sha256:ae61c967da62376831a0c892b996e392499001ef69ef3337e5ba0fb4995e6b27

Observation 55f38db7-d147-4fed-8790-538be0076e37 · outbound

This paper cites A long memory property of stock market returns and a new model.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures A long memory property of stock market returns and a new model

Reference 75

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source=pdf_text observed=2026-08-02T03:22:09.573027Z digest=sha256:ad6021ba8c59ffa7359b81529efc2c42455c564f626d4ecb035cef0612ceced4

Observation ac48aa0f-30f0-4c41-8c43-9e941c763120 · outbound

This paper cites Dynamics, behaviours, and anomaly persistence in cryptocurrencies and equities surrounding COVID-19.Physica A2021,570, 125831.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Dynamics, behaviours, and anomaly persistence in cryptocurrencies and equities surrounding COVID-19.Physica A2021,570, 125831

Reference 76

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source=pdf_text observed=2026-08-02T03:22:09.681038Z digest=sha256:d8ab7ee7625e2e26df62050963a9d352db16b105cdeee7927a4139745b5729a9

Observation c3fee645-b9cb-43f2-af90-146911a1414f · outbound

This paper cites Collective correlations, dynamics, and behavioural inconsistencies of the cryptocur- rency market over time.Nonlinear Dynamics2022,107, 4001–4017.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Collective correlations, dynamics, and behavioural inconsistencies of the cryptocur- rency market over time.Nonlinear Dynamics2022,107, 4001–4017

Reference 77

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doi, observed 2026-08-02T03:23:23.667768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:09.831896Z digest=sha256:e08a41eeb79ed076ac8d78ea06a4cdae3c8bbfb2926cf969a8f4c96a879490e9

Observation 0648fafa-3c25-4a00-94ee-632b642440f8 · outbound

This paper cites Fractal properties, information theory, and market efficiency.Chaos, Solitons & Fractals 2024,180, 114543.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Fractal properties, information theory, and market efficiency.Chaos, Solitons & Fractals 2024,180, 114543

Reference 78

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source=pdf_text observed=2026-08-02T03:22:09.975444Z digest=sha256:f65ad73a9facfec51361b3d7d6d18468a07f0387a8022c3e4124d8f5c07ed05c

Observation 593b2f93-aba8-4bdc-883d-1a846e12ee02 · outbound

This paper cites Long-range correlations in cryptocurrency markets: A multi-scale DFA approach.Physica A2025,661, 130417.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Long-range correlations in cryptocurrency markets: A multi-scale DFA approach.Physica A2025,661, 130417

Reference 79

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source=pdf_text observed=2026-08-02T03:22:10.078406Z digest=sha256:df66babaa6d387512608d817d85c25f0d4021e09b3a05ae498b0d18c193cd10a

Observation b07a9a8b-df46-4300-9d9d-160d0e73d743 · outbound

This paper cites Disentangling Sources of Multifractality in Time Series.Mathematics2025,13.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Disentangling Sources of Multifractality in Time Series.Mathematics2025,13

Reference 80

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:10.220529Z digest=sha256:9262508195251447776cc7cf18f6d965b9df7c35d9fec5f5b095df4cc721f5ad

Observation 0d964dea-4d1a-4afb-98fc-521eb3a7c9b8 · outbound

This paper cites What really causes large price changes?Quantitative Finance2004,4, 383–397.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures What really causes large price changes?Quantitative Finance2004,4, 383–397

Reference 81

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T03:22:10.322590Z digest=sha256:0fb3a1979c8ef947c23998a918c4b1a81b65b0b09f5d5ef8452fae3481cd3298

Observation 3e5acd35-5eec-44f4-b3e2-5d608cc8fadd · outbound

This paper cites Detrended cross-correlations between returns, volatility, trading activity, and volume traded for the stock market companies.EPL (Europhysics Letters)2015,112, 48001.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Detrended cross-correlations between returns, volatility, trading activity, and volume traded for the stock market companies.EPL (Europhysics Letters)2015,112, 48001

Reference 82

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source=pdf_text observed=2026-08-02T03:22:10.466129Z digest=sha256:d12f1b0a07809cfded8a153810f9d1aa3fd262e0f407d01977bb52883bdeccc8

Observation aaa2fb3c-8252-4a2b-bf54-7ef9f9f52b72 · outbound

This paper cites There’s more to volatility than volume.Quantitative finance2006,6, 371–384.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures There’s more to volatility than volume.Quantitative finance2006,6, 371–384

Reference 83

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source=pdf_text observed=2026-08-02T03:22:10.624740Z digest=sha256:63149843eff3eb1f24eeeccc3743cda52aa91a0042bbd8dc2dbfc76794c4bf9d

Observation b744115c-da45-493a-9ef3-09573718ff42 · outbound

This paper cites Cross-correlations between volume change and price change.Proceedings of the National Academy of Sciences2009,106, 22079–22084.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Cross-correlations between volume change and price change.Proceedings of the National Academy of Sciences2009,106, 22079–22084

Reference 84

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source=pdf_text observed=2026-08-02T03:22:10.694149Z digest=sha256:f93b26b9a89037b3900d6a6deb905349f0b18e4da3da80a453239c22b2be133e

Observation d60bbfcf-3502-4103-8a59-eff02a458ff8 · outbound

This paper cites Multifractal cross-correlations between the world oil and other financial markets in 2012–2017.Energy Economics2019,81, 874–885.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Multifractal cross-correlations between the world oil and other financial markets in 2012–2017.Energy Economics2019,81, 874–885

Reference 85

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no resolver link, observed 2026-08-02T03:22:10.745619Z

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source=pdf_text observed=2026-08-02T03:22:10.745619Z digest=sha256:3d94cb9dc883244d47d8376b52d8e4a662525046b76aad94fcf2a96f5ed49beb

Observation 9b9fdb28-08b0-418c-8230-6f5140b7e183 · outbound

This paper cites Detrended Cross-Correlations and Their Random Matrix Limit: An Example from the Cryptocurrency Market.Entropy2025,27.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Detrended Cross-Correlations and Their Random Matrix Limit: An Example from the Cryptocurrency Market.Entropy2025,27

Reference 86

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source=pdf_text observed=2026-08-02T03:22:10.857704Z digest=sha256:5086d4568ff09afe6d00adf0a4af40bf6de4d38541e45eff0a87ba2e3bfb56ac

Observation a698739d-a80b-4272-8ffd-ec260dcb42d9 · outbound

This paper cites Estimation of Complexity of Sampled Biomedical Continuous Time Signals Using Approximate Entropy.Frontiers in Physiology2018,9, 710.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Estimation of Complexity of Sampled Biomedical Continuous Time Signals Using Approximate Entropy.Frontiers in Physiology2018,9, 710

Reference 87

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source=pdf_text observed=2026-08-02T03:22:11.060756Z digest=sha256:6cb6caaa8fc065df330294e3f5a1e9ba512dcc32ef38d99eb6dd309aadd31fea

Observation c4a493dc-c432-419f-9f4b-49688cbacb20 · outbound

This paper cites Optimal Detection of Changepoints With a Linear Computational Cost.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Optimal Detection of Changepoints With a Linear Computational Cost

Reference 88

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source=pdf_text observed=2026-08-02T03:22:11.207255Z digest=sha256:430b0571c25a32a857a5dbbdb127c26a8c6b95667c211338dbcf73bb4277014a

Observation 0b9b3f25-58be-49f8-83bb-9e58f917a430 · outbound

This paper cites Selective Review of Offline Change Point Detection Methods.Signal Processing2020,167, 107299.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Selective Review of Offline Change Point Detection Methods.Signal Processing2020,167, 107299

Reference 89

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source=pdf_text observed=2026-08-02T03:22:11.229011Z digest=sha256:5c9ba6608d89c7ea8bbd2a31de86e8a648330cb343c235da06e7adf0f4b5c168

Observation 40382e23-0ab5-45bf-8572-71f9341f81cc · outbound

This paper cites https://www.mathworks.com/help/signal/ref/findchangepts.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures https://www.mathworks.com/help/signal/ref/findchangepts

Reference 90

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source=pdf_text observed=2026-08-02T03:22:11.232449Z digest=sha256:089df41b31cf4d1f1299ed740f54fe0b2daa1599626f1b43230c43e3ae53e0d0

Observation a3166220-5466-4dd6-bee1-b8a06c658f7f · outbound

This paper cites Using penalized contrasts for the change-point problem.Signal Processing2005,85, 1501–1510.

Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures Using penalized contrasts for the change-point problem.Signal Processing2005,85, 1501–1510

Reference 91

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source=pdf_text observed=2026-08-02T03:22:11.235784Z digest=sha256:2f322b50e4dc078f163f66227ffca24c9f746b50f4a6aee55bce3a0e969c297b

Pith citing papers

No inbound Pith citation observations are available.