Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T01:04:03.781222Z
Paper Citation Record · LEDGER
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking
As of 17 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2505.02139.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
62 of 62 outbound references displayed
- verified exact1
- verified fuzzy50
- unresolved11
- parse uncertain0
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 764bd209-a147-4279-900a-75a44d4d793d · outbound
This paper cites Cambridge University Press, 2016.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Cambridge University Press, 2016
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.630094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9e9183d6-5a26-40e6-9fe9-4b1748e2d6de · outbound
This paper cites Limit order book as a market for liquidity.The review of financial studies, 18(4):1171–1217, 2005.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Limit order book as a market for liquidity.The review of financial studies, 18(4):1171–1217, 2005
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.615103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e2c57cf3-d3fe-4ec7-bb01-7334967952ba · outbound
This paper cites Preis, S.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Preis, S
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.601861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 24343869-d91d-4569-afcb-51921c81da04 · outbound
This paper cites Benchmark dataset for mid-price forecasting of limit order book data with machine learning methods.Journal of Forecasting, 37(8):852–866, 2018.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Benchmark dataset for mid-price forecasting of limit order book data with machine learning methods.Journal of Forecasting, 37(8):852–866, 2018
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.588881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bc79784c-105b-484b-b9ea-c1854d5106db · outbound
This paper cites TCN-LOB: Temporal convolutional network for limit order books.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking TCN-LOB: Temporal convolutional network for limit order books
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.575597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c71bca68-86b0-40e0-8742-b9d660edb1c4 · outbound
This paper cites High-dimensional hawkes processes for limit order books: modelling, empirical analysis and numerical calibration.Quantitative Finance, 18(2):249–264, 2018.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking High-dimensional hawkes processes for limit order books: modelling, empirical analysis and numerical calibration.Quantitative Finance, 18(2):249–264, 2018
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.562416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e01de5df-c2bf-4c3d-b8e1-7bb3e7915d8b · outbound
This paper cites A dynamic model of the limit order book.The Review of Financial Studies, 22(11):4601–4641, 2009.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking A dynamic model of the limit order book.The Review of Financial Studies, 22(11):4601–4641, 2009
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:04:03.566451Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd8daf31-01f0-49af-b4ea-adcd34661822 · outbound
This paper cites The price impact of order book events: market orders, limit orders and cancellations.Quantitative Finance, 12(9):1395–1419, 2012.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking The price impact of order book events: market orders, limit orders and cancellations.Quantitative Finance, 12(9):1395–1419, 2012
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.539853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 38b55ea9-4872-483f-9e6d-ba0ad78bdbec · outbound
This paper cites Using deep learning to detect price change indications in financial markets.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Using deep learning to detect price change indications in financial markets
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.527067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3522004f-2012-4da3-abed-e5883a044968 · outbound
This paper cites Using deep learning for price prediction by exploiting stationary limit order book features.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Using deep learning for price prediction by exploiting stationary limit order book features
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.514208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e6d2c4e7-1ca7-4eed-8aba-8511226b8bec · outbound
This paper cites Machine learning for forecasting mid-price movements using limit order book data.Ieee Access, 7:64722–64736, 2019.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Machine learning for forecasting mid-price movements using limit order book data.Ieee Access, 7:64722–64736, 2019
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.501247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 062ca928-b5ee-4aaa-8ca6-518cb71507a9 · outbound
This paper cites Transformers for limit order books.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Transformers for limit order books
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.488224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1f83ff00-5593-43c3-8b27-60706314bc1a · outbound
This paper cites Deepattentivesurvivalanalysisinlimit order books: Estimating fill probabilities with convolutional-transformers.Quantitative Finance, 24(1):35–57, 2024.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Deepattentivesurvivalanalysisinlimit order books: Estimating fill probabilities with convolutional-transformers.Quantitative Finance, 24(1):35–57, 2024
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.475124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bda0ec64-f522-45a4-8049-031bd704d001 · outbound
This paper cites A survey on machine learning models for financial time series forecasting.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking A survey on machine learning models for financial time series forecasting
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.462419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fdefcf56-fe49-429f-9870-0da1ec3e845f · outbound
This paper cites Limit order books.Quantitative Finance, 13(11):1709–1742, 2013.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Limit order books.Quantitative Finance, 13(11):1709–1742, 2013
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.449636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 28db4192-6cc6-4425-91cc-7999486daf14 · outbound
This paper cites SimLOB: Learning Representations of Limited Order Book for Financial Market Simulation.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking SimLOB: Learning Representations of Limited Order Book for Financial Market Simulation
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T01:04:03.915181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f27f077c-247c-4204-9c85-fde42d1e93ea · outbound
This paper cites The frontier of simulation-based inference.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking The frontier of simulation-based inference
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.436745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5746af9a-d408-4408-b051-1dfc64ac90d4 · outbound
This paper cites Cambridge University Press, 2018.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Cambridge University Press, 2018
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.423793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8d21cccc-7da5-4e3e-8a58-ca03193da3b1 · outbound
This paper cites Multi-modalfinancialtime-seriesretrievalthroughlatentspaceprojections.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Multi-modalfinancialtime-seriesretrievalthroughlatentspaceprojections
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.410212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 786a00a8-aa78-4d88-84ab-c2b38251730a · outbound
This paper cites Deeplob: Deep convolutional neural networks for limit order books.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Deeplob: Deep convolutional neural networks for limit order books
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.397626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c0fde366-e919-47ea-a618-6f4f4374f167 · outbound
This paper cites SimLOB: Learning representations of limited order book for financial market simulation.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking SimLOB: Learning representations of limited order book for financial market simulation
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.384499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fbc6bd36-f875-412d-be43-388c18c2f5c4 · outbound
This paper cites Prediction for time series with cnn and lstm.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Prediction for time series with cnn and lstm
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.370867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 99d1b9cd-a7dd-433e-8b68-e9f7ba2dcb01 · outbound
This paper cites Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:04:03.628475Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 972b48d0-b5b3-4551-8b37-5080cf47340a · outbound
This paper cites Liquidity fluctuations and the latent dynamics of price impact.Quantitative Finance, 22(1):149–169, 2022.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Liquidity fluctuations and the latent dynamics of price impact.Quantitative Finance, 22(1):149–169, 2022
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.357958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a45c89b4-9572-459d-855e-73e89fadcb69 · outbound
This paper cites A stochastic model for order book dynamics.Operations research, 58(3):549–563, 2010.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking A stochastic model for order book dynamics.Operations research, 58(3):549–563, 2010
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.345047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4223d336-99c9-4c48-ae40-7d9f9f20b8a2 · outbound
This paper cites Financial time series forecasting with deep learning : A systematic literature review: 2005–2019.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Financial time series forecasting with deep learning : A systematic literature review: 2005–2019
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.332034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cb077c82-540a-4597-9b1c-68cf24adf8ed · outbound
This paper cites Raim: Recurrent attentive and intensive model of multimodal patient monitoring data.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Raim: Recurrent attentive and intensive model of multimodal patient monitoring data
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.318357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation abac7d23-b7ac-4bbe-a0cd-36badb2f9858 · outbound
This paper cites Multiple-timescale feature learning strategy for valve stiction detection based on convolutional neural network.IEEE/ASME Transactions on Mechatronics, 27(3):1478–1488, 2021.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Multiple-timescale feature learning strategy for valve stiction detection based on convolutional neural network.IEEE/ASME Transactions on Mechatronics, 27(3):1478–1488, 2021
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.304389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cb1f534a-dab6-43ed-93e7-04c335b9b492 · outbound
This paper cites Msgnet: Learning multi-scale inter-series correlations for multivariate time series forecasting.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Msgnet: Learning multi-scale inter-series correlations for multivariate time series forecasting
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.290923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f71c9a60-04e1-42aa-966e-a641d2c40c8c · outbound
This paper cites TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:04:03.654459Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b4f5bd5-7cf8-469b-b9f3-2ab5fd86375c · outbound
This paper cites Bakeoffredux: areviewandexperimentalevaluation of recent time series classification algorithms.Data Mining and Knowledge Discovery, 38(4):1958–2031, 2024.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Bakeoffredux: areviewandexperimentalevaluation of recent time series classification algorithms.Data Mining and Knowledge Discovery, 38(4):1958–2031, 2024
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.277530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f88524d3-d9ed-4454-aff5-6a609b5b4b1f · outbound
This paper cites Deep learning for time series classification and extrinsic regression: A current survey.ACM Computing Surveys, 56(9):1–45, 2024.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Deep learning for time series classification and extrinsic regression: A current survey.ACM Computing Surveys, 56(9):1–45, 2024
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.264340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 573efc66-cbfe-41b5-a56c-db4c1480e606 · outbound
This paper cites an unresolved cited work.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T01:04:04.251640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6b7e59c5-f2ad-4fae-b906-b06b05caf63e · outbound
This paper cites Deep learning for anomaly detection in time-series data: Review, analysis, and guidelines.IEEE access, 9:120043–120065, 2021.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Deep learning for anomaly detection in time-series data: Review, analysis, and guidelines.IEEE access, 9:120043–120065, 2021
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.238610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c1b1589c-f260-4a82-90e1-112d9f5be4b4 · outbound
This paper cites Self-supervised learning for time series analysis: Taxonomy, progress, and prospects.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Self-supervised learning for time series analysis: Taxonomy, progress, and prospects
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.225407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 897b2dce-cf36-4b45-a9a4-d5be9966eb14 · outbound
This paper cites Deep time series models: A comprehensive survey and benchmark.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Deep time series models: A comprehensive survey and benchmark
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.212286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 520704f9-5cee-4f1a-872f-0f745702afbe · outbound
This paper cites Universal time-series representation learning: A survey.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Universal time-series representation learning: A survey
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.198988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ab9974f9-5545-4978-b1c3-68dfef70d76b · outbound
This paper cites Lstm-based vae-gan for time-series anomaly detection.Sensors, 20(13):3738, 2020.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Lstm-based vae-gan for time-series anomaly detection.Sensors, 20(13):3738, 2020
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.186134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e3dad0a4-2190-46ea-b430-cc2b7d197920 · outbound
This paper cites A comparative analysis of arima, gru, lstm and bilstm on financial time series forecasting.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking A comparative analysis of arima, gru, lstm and bilstm on financial time series forecasting
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.173002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 68f41fcf-2ec5-4935-a9f5-927305992e58 · outbound
This paper cites A review of recurrent neural network-based methods in computational physiology.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking A review of recurrent neural network-based methods in computational physiology
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.159596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4ca4e84e-0286-431d-8be0-f3cfa6ffc730 · outbound
This paper cites Atransformer- based framework for multivariate time series representation learning.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Atransformer- based framework for multivariate time series representation learning
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.145913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8c113921-ea01-4f6c-867e-47533288540b · outbound
This paper cites A cnn–lstm model for gold price time-series forecasting.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking A cnn–lstm model for gold price time-series forecasting
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.131925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4f6f4614-ed5d-481c-ad50-026aeebfd30b · outbound
This paper cites Bidirectional lstm-rnn-based hybrid deep learning frameworks for univariate time series classification.The Journal of Supercomputing, 77:7021–7045, 2021.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Bidirectional lstm-rnn-based hybrid deep learning frameworks for univariate time series classification.The Journal of Supercomputing, 77:7021–7045, 2021
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.118094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 05138d9f-16c2-41ac-bf87-241a408aee1d · outbound
This paper cites Evolving cnn-lstm models for time series prediction using enhanced grey wolf optimizer.IEEE access, 8:161519–161541, 2020.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Evolving cnn-lstm models for time series prediction using enhanced grey wolf optimizer.IEEE access, 8:161519–161541, 2020
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.104284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d1e6fc8c-c39e-4798-9297-f5ea49f78ba0 · outbound
This paper cites Deep LOB trading: Half a second please! 213:118899.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Deep LOB trading: Half a second please! 213:118899
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.090172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 14aaf7eb-35b3-4121-86c2-146eded70a65 · outbound
This paper cites Quantfactor reinforce: Mining steady formulaic alpha factors with variance-bounded reinforce, 2024.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Quantfactor reinforce: Mining steady formulaic alpha factors with variance-bounded reinforce, 2024
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.077344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation add4dcf2-9f22-435f-9c09-b04d55392431 · outbound
This paper cites Limit order book simulations: A review.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Limit order book simulations: A review
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.063895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8ab7ad82-b569-4cc1-927e-2c6f186ae904 · outbound
This paper cites Alleviating non-identifiability: a high-fidelity calibration objective for financial market simulation with multivariate time series data, 2025.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Alleviating non-identifiability: a high-fidelity calibration objective for financial market simulation with multivariate time series data, 2025
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.050465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 60502d93-158f-4928-9427-2af57c736b52 · outbound
This paper cites Towards calibrating financial market simulators with high- frequency data, 2025.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Towards calibrating financial market simulators with high- frequency data, 2025
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.036466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7e1e3f81-bad1-4ef2-bd11-355457668597 · outbound
This paper cites Deep learning for time series classification: a review.Data mining and knowledge discovery, 33(4):917–963, 2019.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Deep learning for time series classification: a review.Data mining and knowledge discovery, 33(4):917–963, 2019
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:04:03.733154Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2f4fc89-952b-4ff8-8e5c-9c9301ca4c40 · outbound
This paper cites Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:04:03.737209Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 235b95a3-3b70-48dc-a0f7-35b5949a04a8 · outbound
This paper cites Time-series forecasting with deep learning: a survey.Philosophical Transactions of the Royal Society A, 379(2194):20200209, 2021.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Time-series forecasting with deep learning: a survey.Philosophical Transactions of the Royal Society A, 379(2194):20200209, 2021
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:04:03.741963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48c783e2-262b-4acd-90d7-b518a38948a0 · outbound
This paper cites Deep learning for time series forecasting: a survey.Big Data, 9(1):3–21, 2021.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Deep learning for time series forecasting: a survey.Big Data, 9(1):3–21, 2021
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:04.003185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8668bc9c-fb4a-4990-bb9c-f3d500ce8878 · outbound
This paper cites Transformers in Time Series: A Survey.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Transformers in Time Series: A Survey
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:04:03.750182Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c10c144-0acd-4a8f-bd10-aac93bdd7756 · outbound
This paper cites Exploring progress in multivariate time series forecasting: Comprehensive benchmarking and heterogeneity analysis.IEEE Transactions on Knowledge and Data Engineering, 2024.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Exploring progress in multivariate time series forecasting: Comprehensive benchmarking and heterogeneity analysis.IEEE Transactions on Knowledge and Data Engineering, 2024
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:03.986293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 33be62fa-5767-4a57-8b74-8bf42b2b576e · outbound
This paper cites Unsupervised Representation Learning for Time Series: A Review.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Unsupervised Representation Learning for Time Series: A Review
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:04:03.758481Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10869167-160e-4d6c-8a93-fd54c4274542 · outbound
This paper cites Deep Time Series Models: A Comprehensive Survey and Benchmark.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Deep Time Series Models: A Comprehensive Survey and Benchmark
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:04:03.762841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf854997-f0d9-4d79-9276-bd14e09168ae · outbound
This paper cites Lob-based deep learning models for stock price trend prediction: a benchmark study.Artificial Intelligence Review, 57(5):1–45, 2024.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Lob-based deep learning models for stock price trend prediction: a benchmark study.Artificial Intelligence Review, 57(5):1–45, 2024
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:03.972066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6d5cd53a-5e73-4dee-a539-474f64a0eb02 · outbound
This paper cites Howtoevaluate trading strategies: Single agent market replay or multiple agent interactive simulation?, 2019.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Howtoevaluate trading strategies: Single agent market replay or multiple agent interactive simulation?, 2019
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:03.957748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9dc5a4d8-f16b-4b9d-ac84-186fb51df943 · outbound
This paper cites iTransformer: Inverted transformers are effective for time series forecasting.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking iTransformer: Inverted transformers are effective for time series forecasting
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:03.943228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2644dcf4-a253-4b0f-9aa8-b4765715aa88 · outbound
This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:04:03.777460Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f03006b-9467-4176-8cdb-5b9b94f281fb · outbound
This paper cites Deeplearningforanomalydetectioninmultivariatetimeseries: Approaches,applications, and challenges.Information Fusion, 91:93–102, 2023.
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Deeplearningforanomalydetectioninmultivariatetimeseries: Approaches,applications, and challenges.Information Fusion, 91:93–102, 2023
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:04:03.929760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.