Paper Citation Record · LEDGER

Quantized symbolic time series approximation

As of 15 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 2 inbound Pith citation observations for arXiv:2411.15209.

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

pith.paper-citation-record.v1
2411.15209 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:49:47.649555Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:20:25.600351Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T14:27:20.068058Z

Reference resolution

57 of 57 outbound references displayed

verified exact9
verified fuzzy8
unresolved27
parse uncertain0
malformed identifier8
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb40d0e9-085b-42ea-a681-05e68918c52d · outbound

This paper cites In: ACM Symposium on Theory of Computing.

Quantized symbolic time series approximation In: ACM Symposium on Theory of Computing

Reference 1

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Observation 5910ecd8-3785-428f-a47b-d4803740e1e4 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering 29(11), 2581–2600 (2017) https://doi.org/10.1109/TKDE.2017.2740932.

Quantized symbolic time series approximation IEEE Transactions on Knowledge and Data Engineering 29(11), 2581–2600 (2017) https://doi.org/10.1109/TKDE.2017.2740932

Reference 2

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Observation a726498f-4ad4-413a-ada5-acb8dc05c999 · outbound

This paper cites ACM Computing Surveys 45(1) (2012) https://doi.org/10.1145/2379776.2379788.

Quantized symbolic time series approximation ACM Computing Surveys 45(1) (2012) https://doi.org/10.1145/2379776.2379788

Reference 3

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This paper cites ACM Computing Surveys 55(10) (2023) https://doi.org/10.1145/3560814.

Quantized symbolic time series approximation ACM Computing Surveys 55(10) (2023) https://doi.org/10.1145/3560814

Reference 4

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Observation 6639289e-038d-4c9c-a056-4011564bfecf · outbound

This paper cites Emergent Geometries from the BMN Matrix Model.

Quantized symbolic time series approximation Emergent Geometries from the BMN Matrix Model

Reference 5

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Observation d829b773-14e2-42a5-a9b9-167ccd77849c · outbound

This paper cites Proceedings of the VLDB Endowment 2, 826–837 (2009) https://doi.org/10.14778/1687627.1687721.

Quantized symbolic time series approximation Proceedings of the VLDB Endowment 2, 826–837 (2009) https://doi.org/10.14778/1687627.1687721

Reference 6

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Observation 0eb5b76e-56a5-4b11-990d-ec3729045c5b · outbound

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Quantized symbolic time series approximation Unresolved cited work

Reference 7

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This paper cites ACM Transactions on Database Systems 27(2), 188–228 (2002) https://doi.org/10.1145/568518.568520.

Quantized symbolic time series approximation ACM Transactions on Database Systems 27(2), 188–228 (2002) https://doi.org/10.1145/568518.568520

Reference 8

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Observation 11cb9411-5b0f-4394-9c95-3884d1458b14 · outbound

This paper cites In: Proceedings of the 8th ACM SIG- MOD Workshop on Research Issues in Data Mining and Knowledge Discovery, pp.

Quantized symbolic time series approximation In: Proceedings of the 8th ACM SIG- MOD Workshop on Research Issues in Data Mining and Knowledge Discovery, pp

Reference 9

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Observation e9a394b9-ff29-4ef3-a246-f39e9097ebf9 · outbound

This paper cites In: Advances in Intelligent Data Analysis XII (2013).

Quantized symbolic time series approximation In: Advances in Intelligent Data Analysis XII (2013)

Reference 10

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Observation aa702faf-c506-4364-b617-552931292290 · outbound

This paper cites Data Mining and Knowledge Discovery34, 1175–1200 (2020) https://doi.org/10.1007/s10618-020-00679-8.

Quantized symbolic time series approximation Data Mining and Knowledge Discovery34, 1175–1200 (2020) https://doi.org/10.1007/s10618-020-00679-8

Reference 11

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This paper cites ACM Transactions on Knowledge Discovery from Data (2022) https://doi.org/10.1145/3532621.

Quantized symbolic time series approximation ACM Transactions on Knowledge Discovery from Data (2022) https://doi.org/10.1145/3532621

Reference 12

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Observation ffa0df9a-29f4-46e1-a289-3d591aa7a0a8 · outbound

This paper cites Data Mining and Knowledge Discovery 15(2), 107– 144 (2007) https://doi.org/10.1007/s10618-007-0064-z 22.

Quantized symbolic time series approximation Data Mining and Knowledge Discovery 15(2), 107– 144 (2007) https://doi.org/10.1007/s10618-007-0064-z 22

Reference 13

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Observation d18355c6-0afd-4224-8c90-a45c94a100e2 · outbound

This paper cites In: 18th International Conference on Extending Database Technology, pp.

Quantized symbolic time series approximation In: 18th International Conference on Extending Database Technology, pp

Reference 14

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Observation 816d5af6-ca00-4308-b313-bd97ee15d599 · outbound

This paper cites In: Advanced Analytics and Learning on Temporal Data: 7th ECML PKDD Workshop, AALTD 2022, pp.

Quantized symbolic time series approximation In: Advanced Analytics and Learning on Temporal Data: 7th ECML PKDD Workshop, AALTD 2022, pp

Reference 15

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Observation b534c99e-5daa-470c-8f50-46cde5445610 · outbound

This paper cites Time Series Forecasting Using LSTM Networks: A Symbolic Approach.

Quantized symbolic time series approximation Time Series Forecasting Using LSTM Networks: A Symbolic Approach

Reference 16

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Observation 1fc24bd8-c081-4187-8bc1-03018c075ae0 · outbound

This paper cites Applied Soft Computing 122, 108871 (2022) https://doi.org/10.1016/j.asoc.2022.108871.

Quantized symbolic time series approximation Applied Soft Computing 122, 108871 (2022) https://doi.org/10.1016/j.asoc.2022.108871

Reference 17

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Observation 0e8da367-8228-4280-9528-0ed72adf4d96 · outbound

This paper cites In: Proceedings of the 10th International Workshop on Multi- media Data Mining.

Quantized symbolic time series approximation In: Proceedings of the 10th International Workshop on Multi- media Data Mining

Reference 18

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Observation f4fa389e-0cc5-4757-8ca2-c4be0d69f355 · outbound

This paper cites In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.

Quantized symbolic time series approximation In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing, pp

Reference 19

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Quantized symbolic time series approximation In: IEEE Symposium Series on Computational Intelligence, pp

Reference 20

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Observation 11c9c8ec-6c2e-414d-81a3-83a2ebe906ad · outbound

This paper cites In: IEEE International Solid-State Circuits Conference, pp.

Quantized symbolic time series approximation In: IEEE International Solid-State Circuits Conference, pp

Reference 21

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Observation cf86d0f4-7b67-4264-afe9-2880a18a75a9 · outbound

This paper cites In: ACM/IEEE 43rd Annual Inter- national Symposium on Computer Architecture (ISCA), pp.

Quantized symbolic time series approximation In: ACM/IEEE 43rd Annual Inter- national Symposium on Computer Architecture (ISCA), pp

Reference 22

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Observation 7f13da7e-c8a8-4046-9142-9e944d12e207 · outbound

This paper cites In: Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture.

Quantized symbolic time series approximation In: Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture

Reference 23

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Quantized symbolic time series approximation ACM Transactions on Intelligent Systems and Technology 14(6) (2023) https://doi.org/10.1145/ 3623402

Reference 24

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Observation 2f2703cf-2e53-4098-bffa-83010064da9b · outbound

This paper cites In: International Conference on Automation, Computing and Renew- able Systems, pp.

Quantized symbolic time series approximation In: International Conference on Automation, Computing and Renew- able Systems, pp

Reference 25

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This paper cites In: 2019 IEEE Visual- ization Conference, pp.

Quantized symbolic time series approximation In: 2019 IEEE Visual- ization Conference, pp

Reference 26

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This paper cites Computers & Graphics 112, 13–21 (2023) https://doi.org/10.1016/j.

Quantized symbolic time series approximation Computers & Graphics 112, 13–21 (2023) https://doi.org/10.1016/j

Reference 27

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This paper cites Data Mining and Knowledge Discovery 35(6), 2369–2388 (2021) https://doi.org/10.

Quantized symbolic time series approximation Data Mining and Knowledge Discovery 35(6), 2369–2388 (2021) https://doi.org/10

Reference 28

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Quantized symbolic time series approximation In: IEEE International Conference on Data Mining

Reference 29

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Quantized symbolic time series approximation In: Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Reference 30

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Quantized symbolic time series approximation In: IEEE International Conference on Data Mining, pp

Reference 31

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Quantized symbolic time series approximation In: IEEE International Conference on Data Mining, pp

Reference 32

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This paper cites IEEE Transactions on Knowledge and Data Engineering 35(6), 5752–5766 (2023) https://doi.org/10.1109/TKDE.2022.3141158 24.

Quantized symbolic time series approximation IEEE Transactions on Knowledge and Data Engineering 35(6), 5752–5766 (2023) https://doi.org/10.1109/TKDE.2022.3141158 24

Reference 33

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Quantized symbolic time series approximation Parallel Two-Stage Approach for Joint Symbolic Approximation of Time Series

Reference 34

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Quantized symbolic time series approximation IEEE ASSP Magazine 1(2), 4–29 (1984) https: //doi.org/10.1109/MASSP.1984.1162229

Reference 35

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Quantized symbolic time series approximation IEEE Transactions on Information Theory 55(7), 3229–3242 (2009) https://doi.org/10

Reference 36

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Quantized symbolic time series approximation IEEE Transactions on Information Theory 28(2), 129–137 (1982) https://doi.org/10.1109/TIT.1982.1056489

Reference 37

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Quantized symbolic time series approximation Machine Learning 56(1-3), 9–33 (2004) https://doi.org/10.1023/B:MACH.0000033113.59016.96

Reference 38

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Quantized symbolic time series approximation Theoretical Computer Science 442, 13–21 (2012) https://doi.org/ 10.1016/j.tcs.2011.12.034

Reference 39

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This paper cites End-to-End Entity Classification on Multimodal Knowledge Graphs.

Quantized symbolic time series approximation End-to-End Entity Classification on Multimodal Knowledge Graphs

Reference 40

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This paper cites In: Proceedings of the Second International Conference on Knowledge Discovery and Data Mining.

Quantized symbolic time series approximation In: Proceedings of the Second International Conference on Knowledge Discovery and Data Mining

Reference 41

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This paper cites In: Advances in Knowledge Discovery and Data Mining, pp.

Quantized symbolic time series approximation In: Advances in Knowledge Discovery and Data Mining, pp

Reference 42

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Quantized symbolic time series approximation org/10.1016/j.patcog.2019.04.014

Reference 43

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Quantized symbolic time series approximation Pattern Recognition 110, 107625 (2021) https://doi.org/10.1016/j.patcog.2020.107625

Reference 44

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Observation 98d54568-7b9c-4cea-b423-20c4681e7ddc · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2018).

Quantized symbolic time series approximation In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2018)

Reference 45

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Quantized symbolic time series approximation IEEE Transactions on Acoustics, Speech, and Signal Processing 26(1), 43–49 (1978) https://doi.org/10.1109/TASSP.1978.1163055

Reference 46

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Quantized symbolic time series approximation IEEE/CAA Journal of Automatica Sinica 6(6), 1293–1305 (2019) https://doi.org/10.1109/ JAS.2019.1911747

Reference 47

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Observation 037b86b3-f27e-43d1-ae99-679dc7ca5ae4 · outbound

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Quantized symbolic time series approximation CoRR (2018)

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:50.827807Z

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Observation 827457ea-1490-40bf-ab3a-3657ce055edf · outbound

This paper cites In: SODA ’07: Proceedings of the 8th Annual ACM-SIAM Symposium on Discrete Algorithms, pp.

Quantized symbolic time series approximation In: SODA ’07: Proceedings of the 8th Annual ACM-SIAM Symposium on Discrete Algorithms, pp

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:50.807353Z

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Observation 63d44509-0cb1-4958-8a37-70d33c53ce35 · outbound

This paper cites Data Mining and Knowledge Discovery 35(3), 1032–1060 (2021) https://doi.org/10.1007/ s10618-021-00745-9.

Quantized symbolic time series approximation Data Mining and Knowledge Discovery 35(3), 1032–1060 (2021) https://doi.org/10.1007/ s10618-021-00745-9

Reference 50

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T16:49:50.775651Z

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Observation 77c8db4d-5eab-435e-a884-8855a3d31224 · outbound

This paper cites Mistral 7B.

Quantized symbolic time series approximation Mistral 7B

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:47.602058Z

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Observation 214d0198-d92c-4cc2-bdd0-16a963b60b07 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

Quantized symbolic time series approximation Advances in Neural Information Processing Systems 36 (2024)

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:50.751117Z

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Observation 21c1edb1-9a66-4951-93e2-e6c383ce614d · outbound

This paper cites Neural Networks, 106410 (2024) https: //doi.org/10.1016/j.neunet.2024.106410.

Quantized symbolic time series approximation Neural Networks, 106410 (2024) https: //doi.org/10.1016/j.neunet.2024.106410

Reference 53

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T16:49:48.143512Z

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Observation 6912b552-e38c-4198-a0b2-53f11ea44e53 · outbound

This paper cites Advances in Neural Information Processing Systems 32 (2019).

Quantized symbolic time series approximation Advances in Neural Information Processing Systems 32 (2019)

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:50.721168Z

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Observation b00f73f5-b66f-41d3-9305-c71731013645 · outbound

This paper cites In: International Conference on Learning Representations, Austria (2024) 26.

Quantized symbolic time series approximation In: International Conference on Learning Representations, Austria (2024) 26

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:50.693357Z

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Observation e16e1adb-4c23-4933-89eb-37e991434e64 · outbound

This paper cites Mathematical Programming 91(2), 201–213 (2002) https://doi.org/10.

Quantized symbolic time series approximation Mathematical Programming 91(2), 201–213 (2002) https://doi.org/10

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:50.669795Z

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Observation 78a28b50-8430-469b-98fb-74f2e479ee4b · outbound

This paper cites Computer 17(6), 8–19 (1984) https://doi.org/10.1109/MC.1984.1659158 27.

Quantized symbolic time series approximation Computer 17(6), 8–19 (1984) https://doi.org/10.1109/MC.1984.1659158 27

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:47.649555Z

Source-reported events for the cited work

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Pith citing papers

Observation a80cafd3-d326-4d23-b886-67aa7178b96f · inbound

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling cites this paper.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Quantized symbolic time series approximation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T12:20:25.600351Z

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Observation 477569cc-e5a5-4c5f-adda-e452ded7e3dd · inbound

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework cites this paper.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Quantized symbolic time series approximation

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:27:20.072455Z

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