RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection | Paper Citation Record

Observation 6606a641-2d11-4daf-b7e7-b3aee9853bdf · outbound

This paper cites Springer International Publishing, 2 edn.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection Springer International Publishing, 2 edn

Reference 1

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Observation 3075c61c-6325-447c-890d-4c8adbd54aa2 · outbound

This paper cites Transactions on Machine Learning Research (2024).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection Transactions on Machine Learning Research (2024)

Reference 2

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This paper cites Language Models are Few-Shot Learners.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection Language Models are Few-Shot Learners

Reference 3

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This paper cites CRC Press, 6th edn.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection CRC Press, 6th edn

Reference 4

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This paper cites In: Advances in Neural Information Processing Systems 37 (2024).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Advances in Neural Information Processing Systems 37 (2024)

Reference 5

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This paper cites In: Proceedings of the 41st International Conference on Machine Learning (2024).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 41st International Conference on Machine Learning (2024)

Reference 6

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18e6797f-bcf0-438c-8383-bfcebe14a034 · outbound

This paper cites IFAC Proceedings V olumes46(20), 12–17 (2013).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection IFAC Proceedings V olumes46(20), 12–17 (2013)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.811592Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9bb32149-7919-4097-a6ec-758719b18fba · outbound

This paper cites The Annals of Statistics 7, 1–26 (1979).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection The Annals of Statistics 7, 1–26 (1979)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.717543Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 624516d5-378f-430c-aa6f-6b52d8537a1b · outbound

This paper cites In: Proceedings of the 40th IEEE International Conference on Data Engineering.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 40th IEEE International Conference on Data Engineering

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.630093Z

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This paper cites In: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.551120Z

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This paper cites In: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Reference 11

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Observation 9ed46e98-621d-458d-a993-74cae5e0747a · outbound

This paper cites Circulation 101(23), e215–e220 (2000).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection Circulation 101(23), e215–e220 (2000)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.454034Z

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Observation 9a9b1955-b6dd-46ee-8f7e-1094d145de48 · outbound

This paper cites In: Proceedings of the 41st International Conference on Machine Learning (2024).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 41st International Conference on Machine Learning (2024)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.355857Z

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This paper cites O’Reilly Media (2019).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection O’Reilly Media (2019)

Reference 14

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This paper cites REALM: Retrieval-Augmented Language Model Pre-Training.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection REALM: Retrieval-Augmented Language Model Pre-Training

Reference 15

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This paper cites In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Reference 16

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This paper cites In: Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery and data mining.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery and data mining

Reference 17

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This paper cites In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management

Reference 18

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Observation fe5bfbe8-5a01-4bcd-9073-60b8aa5a1205 · outbound

This paper cites an unresolved cited work.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection Unresolved cited work

Reference 19

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This paper cites Scientific Data 3(1), 1–9 (2016).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection Scientific Data 3(1), 1–9 (2016)

Reference 20

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Observation a9848b53-e402-4233-959e-4e7b82615b95 · outbound

This paper cites In: Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (2021).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (2021)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:49.031157Z

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This paper cites In: Proceedings of the 14th International Conference on Machine Learning and Applications.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 14th International Conference on Machine Learning and Applications

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:00.746044Z

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This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 23

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This paper cites Proceedings of the VLDB Endowment 17(12), 4229–4232 (2024).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection Proceedings of the VLDB Endowment 17(12), 4229–4232 (2024)

Reference 24

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This paper cites In: Advances in Neural Information Processing Systems 35 (2024).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Advances in Neural Information Processing Systems 35 (2024)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:00.599588Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 472feb6e-0ee8-4196-9ed1-a4d5e7e05645 · outbound

This paper cites In: Proceedings of the 39th AAAI Conference on Artificial Intelligence.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 39th AAAI Conference on Artificial Intelligence

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:00.508388Z

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Observation ccefff29-36b4-4517-bcc1-007a23d85f8f · outbound

This paper cites IEEE Transactions on Fuzzy Systems 23(3), 688– 700 (2014).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection IEEE Transactions on Fuzzy Systems 23(3), 688– 700 (2014)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:00.420266Z

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Observation f8b444b0-0a75-4d29-8503-5aaa2ba51192 · outbound

This paper cites GPT-4 Technical Report.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection GPT-4 Technical Report

Reference 28

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This paper cites Proceedings of the VLDB Endowment 15(11), 2774–2787 (2022).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection Proceedings of the VLDB Endowment 15(11), 2774–2787 (2022)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:00.340512Z

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Observation 59505b2e-df9a-4a22-be9a-88b46b987c6a · outbound

This paper cites In: Proceedings of the ACM SIGMOD International Conference on Management of Data.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the ACM SIGMOD International Conference on Management of Data

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:00.263152Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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This paper cites Proceedings of the VLDB Endowment 15(8), 1697–1711 (2022).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection Proceedings of the VLDB Endowment 15(8), 1697–1711 (2022)

Reference 31

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 32bdab39-a5c8-48d4-82db-b12f88cc47dc · outbound

This paper cites In: Proceedings of the ACM SIGMOD International Conference on Management of Data (2020).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the ACM SIGMOD International Conference on Management of Data (2020)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:00.109465Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d6752a4d-e4df-4a30-bce2-7400fc2053a0 · outbound

This paper cites Proceedings of the VLDB Endowment 15(9), 1779–1797 (2022).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection Proceedings of the VLDB Endowment 15(9), 1779–1797 (2022)

Reference 33

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2639a129-b5eb-40d0-8c75-024f997031fb · outbound

This paper cites In: Pro- ceedings of the 13th International Conference on Learning Representations (2025).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Pro- ceedings of the 13th International Conference on Learning Representations (2025)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.961847Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7c2494f4-ce0c-4637-8224-456ad89b502b · outbound

This paper cites In: Proceedings of the 13th International Conference on Learning Representations (2025).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 13th International Conference on Learning Representations (2025)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.879909Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b892a94a-83b9-47a4-97e7-937111625f8c · outbound

This paper cites In: Proceedings of the 12th International Conference on Learning Representations (2024).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 12th International Conference on Learning Representations (2024)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.789557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 54d70487-b607-4da4-824c-e99afa2b8705 · outbound

This paper cites In: Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery and data mining.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery and data mining

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.700437Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 925628b4-9c9d-44e8-9ae0-88d35584649a · outbound

This paper cites In: Proceedings of the 40th IEEE International Conference on Data Engineering.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 40th IEEE International Conference on Data Engineering

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.619655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e35777b3-8843-450d-bb9e-2927a79ca665 · outbound

This paper cites In: Advances in Neural Information Processing Systems 31 (2018).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Advances in Neural Information Processing Systems 31 (2018)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.451476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18f67957-b82c-4408-84e9-ab756433a60e · outbound

This paper cites In: Advances in Neural Information Processing Systems 30 (2017).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Advances in Neural Information Processing Systems 30 (2017)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.380413Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 93476f9b-c083-45d1-9f6d-dd7c4d94caa0 · outbound

This paper cites In: Proceedings of the 41st International Conference on Machine Learning (2024).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 41st International Conference on Machine Learning (2024)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.294135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d86d4073-4a46-4581-9296-452d12f2a0a7 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering 35(3), 2421–2429 (2021).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection IEEE Transactions on Knowledge and Data Engineering 35(3), 2421–2429 (2021)

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.222264Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2a9e4d3-cf98-4425-a482-81de4a37f98c · outbound

This paper cites In: Proceedings of the 13th International Conference on Learning Representations (2025).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 13th International Conference on Learning Representations (2025)

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.144864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0de374df-944c-4599-b982-cb4fdaf0f899 · outbound

This paper cites In: Proceedings of the ACM on Web Conference.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the ACM on Web Conference

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.067858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 01e8fd74-3e40-428f-a891-3437f19291e4 · outbound

This paper cites In: Proceedings of the 10th International Conference on Learning Representations (2022).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 10th International Conference on Learning Representations (2022)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:59.018524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b8e1567d-fe6e-4752-b5ce-00234d861f78 · outbound

This paper cites In: Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.951458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c1a146d8-eba5-4343-8ee3-83e108f45b56 · outbound

This paper cites In: Proceedings of the 16th IEEE International Conference on Data Mining.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 16th IEEE International Conference on Data Mining

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.872152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45a4a301-31ba-4ec3-acb6-7a0f364a80e9 · outbound

This paper cites ACM Computing Surveys 57(1), 1–42 (2024).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection ACM Computing Surveys 57(1), 1–42 (2024)

Reference 48

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This paper cites In: Advances in Neural Information Processing Systems 35 (2022).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Advances in Neural Information Processing Systems 35 (2022)

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.767369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bef4f701-eef2-4670-9ae9-5384e3e0be79 · outbound

This paper cites In: Proceedings of the 13th International Conference on Learning Representations (2025).

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection In: Proceedings of the 13th International Conference on Learning Representations (2025)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:46:58.686994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 82946ff3-95ca-4f11-9fa7-9287a5a04eea · outbound

This paper cites an unresolved cited work.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection Unresolved cited work

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This paper cites See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers

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