Paper Citation Record · LEDGER

Large Language Models are Few-shot Multivariate Time Series Classifiers

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2502.00059.

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

pith.paper-citation-record.v1
2502.00059 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:37:00.862173Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T09:31:55.829045Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:32:16.225019Z

Reference resolution

43 of 43 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6d3f7a7-9f95-45e6-a99a-7643eea23203 · outbound

This paper cites Data Mining and Knowledge Discovery 33(4), 917–963 (2019).

Large Language Models are Few-shot Multivariate Time Series Classifiers Data Mining and Knowledge Discovery 33(4), 917–963 (2019)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:37:01.327749Z

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Observation db60c571-9689-4332-a0f2-8f96c83aa7f7 · outbound

This paper cites NPJ digital medicine 1(1), 1–10 (2018).

Large Language Models are Few-shot Multivariate Time Series Classifiers NPJ digital medicine 1(1), 1–10 (2018)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:37:01.316741Z

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Observation 686290a8-dba4-4fe9-bd63-52dc6addd46c · outbound

This paper cites World Wide Web 23(5), 2653–2669 (2020).

Large Language Models are Few-shot Multivariate Time Series Classifiers World Wide Web 23(5), 2653–2669 (2020)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:37:01.303356Z

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Observation 6104fd03-034d-4e66-a5b8-91c57ec071a1 · outbound

This paper cites In: 2018 IEEE International Conference on Big Data (Big Data), pp.

Large Language Models are Few-shot Multivariate Time Series Classifiers In: 2018 IEEE International Conference on Big Data (Big Data), pp

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:37:01.292854Z

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Observation 1b78ad85-24ac-4bd0-9fc9-1ba18b20ba92 · outbound

This paper cites Advances in Neural Information Processing Systems 35, 3988–4003 (2022).

Large Language Models are Few-shot Multivariate Time Series Classifiers Advances in Neural Information Processing Systems 35, 3988–4003 (2022)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:37:01.281325Z

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Observation 0c04b248-8be2-4c16-9328-6858f5c35f02 · outbound

This paper cites In: 2020 International Joint Conference on Neural Networks (IJCNN), pp.

Large Language Models are Few-shot Multivariate Time Series Classifiers In: 2020 International Joint Conference on Neural Networks (IJCNN), pp

Reference 6

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Observation dc26d97b-d72f-4e92-8ebc-f678e472af12 · outbound

This paper cites In: Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, pp.

Large Language Models are Few-shot Multivariate Time Series Classifiers In: Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, pp

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:37:01.259197Z

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Observation a81185a9-136f-4689-afb7-8fcdd71353e1 · outbound

This paper cites ACM computing surveys (csur) 53(3), 1–34 (2020).

Large Language Models are Few-shot Multivariate Time Series Classifiers ACM computing surveys (csur) 53(3), 1–34 (2020)

Reference 8

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Observation e16dcb84-5353-43a5-a90f-b703d7efa198 · outbound

This paper cites In: Forty-first International Conference on Machine Learning (2024).

Large Language Models are Few-shot Multivariate Time Series Classifiers In: Forty-first International Conference on Machine Learning (2024)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:37:01.242932Z

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Observation 309c92eb-58c2-4193-be23-fb174c016955 · outbound

This paper cites In: 2008 IEEE International Joint Confer- ence on Neural Networks (IEEE World Congress on Computational Intelligence), pp.

Large Language Models are Few-shot Multivariate Time Series Classifiers In: 2008 IEEE International Joint Confer- ence on Neural Networks (IEEE World Congress on Computational Intelligence), pp

Reference 10

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Observation b2b1be85-69b6-4764-a4d1-e3bb18d8e7bf · outbound

This paper cites Data Mining and 17 Knowledge Discovery 34(5), 1454–1495 (2020).

Large Language Models are Few-shot Multivariate Time Series Classifiers Data Mining and 17 Knowledge Discovery 34(5), 1454–1495 (2020)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:37:01.223879Z

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Observation 9fa17bcf-d2ab-4a9a-bbc9-239fede2c0f6 · outbound

This paper cites IEEE access 6, 1662–1669 (2017).

Large Language Models are Few-shot Multivariate Time Series Classifiers IEEE access 6, 1662–1669 (2017)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:37:01.214548Z

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Observation 84084643-f4d9-4f48-b77b-5623da9ca9e1 · outbound

This paper cites Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification.

Large Language Models are Few-shot Multivariate Time Series Classifiers Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification

Reference 13

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Observation d8873a29-75ab-4f8d-8870-8e3dba404e7e · outbound

This paper cites Information Sciences 656, 119881 (2024).

Large Language Models are Few-shot Multivariate Time Series Classifiers Information Sciences 656, 119881 (2024)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:37:01.205207Z

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Observation 497c864f-c505-4662-9b74-4324c15f8ddf · outbound

This paper cites ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification.

Large Language Models are Few-shot Multivariate Time Series Classifiers ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification

Reference 15

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Observation 2bd01fce-3507-4871-a50a-31a2b6d4eb48 · outbound

This paper cites In: 2021 Digital Image Computing: Techniques and Applications (DICTA), pp.

Large Language Models are Few-shot Multivariate Time Series Classifiers In: 2021 Digital Image Computing: Techniques and Applications (DICTA), pp

Reference 16

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Observation 966df01e-2dfa-4a73-9f4f-0efaaac2299b · outbound

This paper cites In: 2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI), pp.

Large Language Models are Few-shot Multivariate Time Series Classifiers In: 2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI), pp

Reference 17

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Observation 672f82c8-4e3c-4f65-a2cf-8c1294c346a0 · outbound

This paper cites IEEE Access 11, 41400–41414 (2023).

Large Language Models are Few-shot Multivariate Time Series Classifiers IEEE Access 11, 41400–41414 (2023)

Reference 18

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Observation bf777970-de03-443b-99c1-5d0adc7bb5cf · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

Large Language Models are Few-shot Multivariate Time Series Classifiers In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 19

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Observation 251b215b-e806-4baa-b2d2-fdf7fddf3609 · outbound

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

Large Language Models are Few-shot Multivariate Time Series Classifiers Advances in Neural Information Processing Systems 36 (2024)

Reference 20

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Observation c74e090c-01f0-42eb-a6e1-2f341f79c425 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering (2023).

Large Language Models are Few-shot Multivariate Time Series Classifiers IEEE Transactions on Knowledge and Data Engineering (2023)

Reference 21

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Observation 11e21ecb-aaad-43c3-ae6e-1c2127a5eb46 · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

Large Language Models are Few-shot Multivariate Time Series Classifiers Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 22

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Observation 3a30626b-ac75-4c86-8969-5c3f7acfab7b · outbound

This paper cites Advances in neural information processing systems 36, 43322–43355 (2023) 18.

Large Language Models are Few-shot Multivariate Time Series Classifiers Advances in neural information processing systems 36, 43322–43355 (2023) 18

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:37:01.129869Z

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Observation eb54d148-09b5-4a63-951d-64f3fc3b8cd0 · outbound

This paper cites TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting.

Large Language Models are Few-shot Multivariate Time Series Classifiers TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

Reference 24

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This paper cites In: Forty-first International Conference on Machine Learning (2024).

Large Language Models are Few-shot Multivariate Time Series Classifiers In: Forty-first International Conference on Machine Learning (2024)

Reference 25

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Observation adab96ad-466f-42d1-9ae1-34b5cc237348 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

Large Language Models are Few-shot Multivariate Time Series Classifiers A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 26

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This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Large Language Models are Few-shot Multivariate Time Series Classifiers An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 27

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This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Large Language Models are Few-shot Multivariate Time Series Classifiers LoRA: Low-Rank Adaptation of Large Language Models

Reference 28

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Observation 86781174-033b-4691-a8fb-c7cc73f85314 · outbound

This paper cites The UEA multivariate time series classification archive, 2018.

Large Language Models are Few-shot Multivariate Time Series Classifiers The UEA multivariate time series classification archive, 2018

Reference 29

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Observation 54efcfd9-8604-489b-9ebc-b50ac4154a1c · outbound

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Large Language Models are Few-shot Multivariate Time Series Classifiers Unresolved cited work

Reference 30

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Observation 1424fff9-b2bc-4195-901d-01cbf053257d · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

Large Language Models are Few-shot Multivariate Time Series Classifiers TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 31

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This paper cites Advances in neural information processing systems 34, 22419–22430 (2021).

Large Language Models are Few-shot Multivariate Time Series Classifiers Advances in neural information processing systems 34, 22419–22430 (2021)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:37:01.094399Z

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Observation a3222f11-d1a8-4a78-bdbd-ccd00db5d1f7 · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2023).

Large Language Models are Few-shot Multivariate Time Series Classifiers In: The Eleventh International Conference on Learning Representations (2023)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:37:01.083972Z

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Observation 8128463b-fe37-408f-b8c0-11d09cd289ae · outbound

This paper cites In: International Conference on Machine Learning, pp.

Large Language Models are Few-shot Multivariate Time Series Classifiers In: International Conference on Machine Learning, pp

Reference 34

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Observation 189932d8-0517-4fb3-af4a-1d6c35bbe41f · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

Large Language Models are Few-shot Multivariate Time Series Classifiers In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:37:01.063326Z

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Observation 64c67457-d00c-4dad-a593-97734e66930c · outbound

This paper cites Reformer: The Efficient Transformer.

Large Language Models are Few-shot Multivariate Time Series Classifiers Reformer: The Efficient Transformer

Reference 36

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Observation 72949c07-2f13-4b10-88b2-b7b0a108c3f8 · outbound

This paper cites Advances in neural information processing systems 30 (2017).

Large Language Models are Few-shot Multivariate Time Series Classifiers Advances in neural information processing systems 30 (2017)

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T00:37:00.841198Z

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Observation 29229992-1084-4aec-89b1-3dd5e03922e0 · outbound

This paper cites OpenAI blog 1(8), 9 (2019).

Large Language Models are Few-shot Multivariate Time Series Classifiers OpenAI blog 1(8), 9 (2019)

Reference 38

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Observation c71e92d9-8d23-4ea5-9b34-5db95ac3faf7 · outbound

This paper cites Qwen Technical Report.

Large Language Models are Few-shot Multivariate Time Series Classifiers Qwen Technical Report

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T00:37:00.848199Z

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Observation fe8d7909-40a3-4f06-a70d-e9900350f743 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Large Language Models are Few-shot Multivariate Time Series Classifiers Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T00:37:00.851709Z

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Observation 9d73c80b-33f3-4b74-89f6-d0b7085e59d9 · outbound

This paper cites The Llama 3 Herd of Models.

Large Language Models are Few-shot Multivariate Time Series Classifiers The Llama 3 Herd of Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T00:37:00.855280Z

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Observation cfc0024a-dadd-4fcc-8d23-5d5a0643d95c · outbound

This paper cites In: International Conference on Machine Learning, pp.

Large Language Models are Few-shot Multivariate Time Series Classifiers In: International Conference on Machine Learning, pp

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:37:01.039678Z

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Observation 5c0fdb4b-a958-4b40-b4cb-6a49aa4b0b33 · outbound

This paper cites Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning.

Large Language Models are Few-shot Multivariate Time Series Classifiers Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T00:37:00.862173Z

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Pith citing papers

Observation 53e828f8-fce7-458c-86e7-3bd6b9f5ca7e · inbound

From Time Series Analysis to Question Answering: A Survey in the LLM Era cites this paper.

From Time Series Analysis to Question Answering: A Survey in the LLM Era Large Language Models are Few-shot Multivariate Time Series Classifiers

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:32:16.228660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.