Into the ORBIT for Time Series: Training Regimes for Foundation Models | Paper Citation Record

Observation cf58ac27-e2da-43b8-bff3-a935c0b841a1 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , articleno =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Proceedings of the 41st International Conference on Machine Learning , articleno =

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.412299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91b8339f-a06a-49bc-9582-86cdfacf3580 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , articleno =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Proceedings of the 41st International Conference on Machine Learning , articleno =

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.417234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ace009ac-f538-4cb0-b7a9-efabe05989bd · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , volume=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.427201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f3a4436-d587-45cb-ae60-bdfcbc7d9cc3 · outbound

This paper cites Proceedings of the 19th International Symposium on Spatial and Temporal Data , pages=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Proceedings of the 19th International Symposium on Spatial and Temporal Data , pages=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.432286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34802356-f02a-4808-ba99-b72278c82089 · outbound

This paper cites Advances in neural information processing systems , volume=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Advances in neural information processing systems , volume=

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.436676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7882fa2a-0d8a-4f40-bd2a-463aea046f29 · outbound

This paper cites Proceedings of the 33rd ACM International Conference on Information and Knowledge Management , pages=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Proceedings of the 33rd ACM International Conference on Information and Knowledge Management , pages=

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.441124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93e16fe7-79a3-4279-ae67-1d32617d9cd4 · outbound

This paper cites International conference on machine learning , pages=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models International conference on machine learning , pages=

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.445616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ca4ea89-500a-4a28-ac0c-4780535745fd · outbound

This paper cites Scientific reports , volume=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Scientific reports , volume=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.449773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 119f3b7c-c184-41d7-b7ca-2d91871a4e1d · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.453914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80946300-1356-4852-a428-e0dd01f9bb2d · outbound

This paper cites an unresolved cited work.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.493337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dedb34d5-8f15-4142-b96e-792e9ef32f69 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , articleno =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Proceedings of the 41st International Conference on Machine Learning , articleno =

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.497422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad33c031-34bc-440a-b1cf-79e8a2a0a34d · outbound

This paper cites an unresolved cited work.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.502485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 159d5cae-6112-4c7e-80cb-1885992394de · outbound

This paper cites Forty-third International Conference on Machine Learning Position Paper Track , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Forty-third International Conference on Machine Learning Position Paper Track , year=

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.507627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bc2964c-cdc4-4096-b23b-05aaba63c149 · outbound

This paper cites Proceedings of the 32nd ACM International Conference on Information and Knowledge Management , pages=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Proceedings of the 32nd ACM International Conference on Information and Knowledge Management , pages=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.512166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7717edc-cfae-4449-a264-77152cd664e6 · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models The Fourteenth International Conference on Learning Representations , year=

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.516875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f32c866e-82bd-4eab-8d81-d4eea35cf69d · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Forty-second International Conference on Machine Learning , year=

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.521440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab655b5b-e71c-4838-afc1-95fe1fdd5657 · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models The Thirteenth International Conference on Learning Representations , year=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.526010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4937d64b-2752-46d1-b635-c71b5fdcad68 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.530523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41c394c9-0802-4d9b-994f-b03ef37a9292 · outbound

This paper cites Gifford and Chandra Reddy and Jayant Kalagnanam , booktitle=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Gifford and Chandra Reddy and Jayant Kalagnanam , booktitle=

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.535234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f233b6a8-ed00-492e-a1a8-d18b963a5fdd · outbound

This paper cites 2026 , url=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models 2026 , url=

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.540037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9e6bab2-1072-456b-95f7-adc5d84593f2 · outbound

This paper cites an unresolved cited work.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.544849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a349b229-e797-4ce6-b4f9-81ed18b91a44 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , articleno =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Proceedings of the 41st International Conference on Machine Learning , articleno =

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.549742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ee54ef8-3713-4a3d-96a0-4a3306cab57a · outbound

This paper cites arXiv preprint arXiv:2602.06909 , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models arXiv preprint arXiv:2602.06909 , year=

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.553908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6afb246-785e-463e-9bde-ed00c89c2dac · outbound

This paper cites International Conference on Learning Representations , year =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models International Conference on Learning Representations , year =

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.562099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2be8d6b2-4322-46d2-98f1-5f43a9a77974 · outbound

This paper cites and Kaiser,.

Into the ORBIT for Time Series: Training Regimes for Foundation Models and Kaiser,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.566922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20b9dcc7-02a1-4b6a-b8f2-32e52b0fcb9c · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models International Conference on Learning Representations (ICLR) , year=

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.572352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecef3017-6fe8-4926-aebf-0ac0c518ca83 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models International Conference on Learning Representations (ICLR) , year=

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.577137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cd46655-cd3c-4334-8039-e8faaa8d6057 · outbound

This paper cites AAAI , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models AAAI , year=

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.582185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c1e0ae2-687f-4a68-8fb2-99c4ddf79814 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models International Conference on Learning Representations (ICLR) , year=

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.587126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c9d8a0c-44f4-4a8b-a92d-8648045b388c · outbound

This paper cites International Journal of Forecasting , volume=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models International Journal of Forecasting , volume=

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.591959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4811d356-7507-433e-9049-58e3939993f0 · outbound

This paper cites International Journal of Forecasting , volume=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models International Journal of Forecasting , volume=

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.596874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42816d9b-f27e-4a64-a68c-ee61ee0f9554 · outbound

This paper cites International Conference on Learning Representations , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models International Conference on Learning Representations , year=

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.601530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b51fd1f3-e9b6-4c84-bc14-9ba3c0d8dcbd · outbound

This paper cites Neurocomputing , volume=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Neurocomputing , volume=

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.606295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f531b986-4191-4783-aa5d-6f320c300669 · outbound

This paper cites Long-term Forecasting with Ti.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Long-term Forecasting with Ti

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.615782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44e44ce8-bccc-4a30-ab0f-1493c7ebcf61 · outbound

This paper cites International conference on machine learning , pages=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models International conference on machine learning , pages=

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.620089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 415f1a22-4928-4b73-b579-784b4e7f8913 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.625458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a05cfa3-c704-456f-a42e-43b717d9a45d · outbound

This paper cites Journal of economic perspectives , volume=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Journal of economic perspectives , volume=

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.631360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6af82e7-9f6a-4e5b-8fef-a894bba0b94d · outbound

This paper cites Scaling Laws for Neural Language Models.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Scaling Laws for Neural Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.641275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e393b3e-01a4-4d7f-9e44-10d2920443cc · outbound

This paper cites International Conference on Machine Learning , pages=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models International Conference on Machine Learning , pages=

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.650578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de0904ec-ec69-4c06-89a2-16beca83ec1c · outbound

This paper cites an unresolved cited work.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Unresolved cited work

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.661562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14555251-6fbb-4803-8d25-3e2375859342 · outbound

This paper cites 2019 , publisher=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models 2019 , publisher=

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.671513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da1d35ee-7153-4dc5-a8e0-a5e8166597e3 · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.676355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5823bb3b-f383-4c8a-9e38-362313f9ecb5 · outbound

This paper cites an unresolved cited work.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.681634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33b5b847-43d8-4a41-9129-965cfee09a46 · outbound

This paper cites an unresolved cited work.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.687191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d985c301-0c91-4c63-a013-967795368adb · outbound

This paper cites Neural Information Processing Systems , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Neural Information Processing Systems , year=

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.692845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 449ca322-46be-4660-ae77-4274e0a495ba · outbound

This paper cites AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data , volume =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data , volume =

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.697998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f20a5bf-2773-4b50-b0ab-9dfc605b962d · outbound

This paper cites IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing , pages=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing , pages=

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.703080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3008b640-c2f5-42e0-b453-c6b07d153992 · outbound

This paper cites 2017 , note =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models 2017 , note =

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.707500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 201042f5-a2ac-47be-ada4-3b3b7bf9fd3e · outbound

This paper cites Expert Systems with Applications , volume=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Expert Systems with Applications , volume=

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.711424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8025ec94-7218-49f6-a90c-7fe4f026d477 · outbound

This paper cites 2015 , howpublished =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models 2015 , howpublished =

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.716737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63b72804-4186-46b3-93cb-990273ef98d8 · outbound

This paper cites The International ACM SIGIR Conference on Research & Development in Information Retrieval , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models The International ACM SIGIR Conference on Research & Development in Information Retrieval , year=

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.726347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99a37bdb-d211-4774-981d-4df803995ad6 · outbound

This paper cites The Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models The Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.730927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80745e8f-37ac-4102-841a-4c79fc39c728 · outbound

This paper cites an unresolved cited work.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Unresolved cited work

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.741303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af192160-9a62-4e8e-a916-e462def81976 · outbound

This paper cites Forecasting using sparse cointegration , journal =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Forecasting using sparse cointegration , journal =

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.754839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d273fbec-3860-4473-a9ec-19d699dfb59e · outbound

This paper cites and Hyndman, Rob J.

Into the ORBIT for Time Series: Training Regimes for Foundation Models and Hyndman, Rob J

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.759060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bc96f25-9c91-4003-8ba2-c02b683ebc18 · outbound

This paper cites 2025 , note =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models 2025 , note =

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.776304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b786ebee-3004-4b1b-a133-6f69a4e33124 · outbound

This paper cites 2025 , note =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models 2025 , note =

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.781065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba8bc33e-b8c7-4773-a1cc-65ebca2f7cdf · outbound

This paper cites 2025 , note =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models 2025 , note =

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.787179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfac7987-c0bc-43fa-9a01-7629b9503123 · outbound

This paper cites 2025 , note =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models 2025 , note =

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.792659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b43416d-288d-4e7a-b9df-c04dfbdc618c · outbound

This paper cites 2020 , note =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models 2020 , note =

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.797153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf62aadb-41fc-4fd0-a150-ae37fa515d44 · outbound

This paper cites 2015 , howpublished =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models 2015 , howpublished =

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.801163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50c8dab7-a894-49aa-84cc-208160ef754f · outbound

This paper cites 2014 , howpublished =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models 2014 , howpublished =

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.805505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 188d995c-b5fb-4a82-bf81-d52fca21ac59 · outbound

This paper cites 2024 , howpublished =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models 2024 , howpublished =

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.810033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 181c3c5f-64d5-47a8-8100-2be1b1715e13 · outbound

This paper cites an unresolved cited work.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Unresolved cited work

Reference 86

Resolution: parse uncertain; no resolver link, observed 2026-08-14T15:09:37.815511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c406debb-60b0-437c-b772-58752f083fab · outbound

This paper cites Christiano and Martin Eichenbaum and Charles L.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Christiano and Martin Eichenbaum and Charles L

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.820293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 856cf1c8-d420-4f6e-a940-fcd3208a7396 · outbound

This paper cites Communications of the ACM , volume=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Communications of the ACM , volume=

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7538abf-8ee9-4edb-b4e0-ef21360a2c1e · outbound

This paper cites Transactions on Machine Learning Research , year=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Transactions on Machine Learning Research , year=

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.831281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96a7a00a-aeac-45a4-baf1-8c81964c50c0 · outbound

This paper cites Version 2020-10-06 , author=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Version 2020-10-06 , author=

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.837735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4b28163-7bff-40d2-b56a-529df2ecf293 · outbound

This paper cites Nature Energy , year =.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Nature Energy , year =

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.843286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbee30f2-fba8-4f8a-a21d-ea453a0cd069 · outbound

This paper cites Advances in neural information processing systems , volume=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Advances in neural information processing systems , volume=

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.847962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a63f8d33-e0c4-4ffa-9479-d7bf763d1a2f · outbound

This paper cites International Journal of Forecasting , volume=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models International Journal of Forecasting , volume=

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.868114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee04c8ca-3d9c-4e02-8b62-b488cfe76e40 · outbound

This paper cites 2025 , note=.

Into the ORBIT for Time Series: Training Regimes for Foundation Models 2025 , note=

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.873856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29ea5ca2-8ea3-4a03-af1e-f73ff9f7d413 · outbound

This paper cites an unresolved cited work.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Unresolved cited work

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.879362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 938c673d-c6f1-4695-996f-f20ce606e039 · outbound

This paper cites an unresolved cited work.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Unresolved cited work

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.898524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89383790-c652-4fc7-8989-562e44bb3a20 · outbound

This paper cites Walmart recruiting - store sales forecasting.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Walmart recruiting - store sales forecasting

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.902481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b405689-3c15-4052-b1d5-4f83b2626e9f · outbound

This paper cites GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation.

Into the ORBIT for Time Series: Training Regimes for Foundation Models GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.911640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edd2413f-ba97-4958-8776-77a04e1b7181 · outbound

This paper cites Chronos: Learning the language of time series.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Chronos: Learning the language of time series

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.916594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb60a268-7b4a-40a4-b022-f2c42b4e5fd1 · outbound

This paper cites Chronos-2: From Univariate to Universal Forecasting.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Chronos-2: From Univariate to Universal Forecasting

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.921531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beb4a168-5bd7-45b0-8d9b-6e3e77bccc02 · outbound

This paper cites o ck, G \.

Into the ORBIT for Time Series: Training Regimes for Foundation Models o ck, G \

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.926429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17209f10-8779-46a8-9b32-c3868182b62b · outbound

This paper cites Recurrent neural networks for multivariate time series with missing values.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Recurrent neural networks for multivariate time series with missing values

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.931707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8cce76c-1b79-4ad6-9824-b1004675a37c · outbound

This paper cites Time is not enough: Time-frequency based explanation for time-series black-box models.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Time is not enough: Time-frequency based explanation for time-series black-box models

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.936847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbc579d8-0947-4730-a47e-6218b0abc6a4 · outbound

This paper cites This time is different: An observability perspective on time series foundation models.

Into the ORBIT for Time Series: Training Regimes for Foundation Models This time is different: An observability perspective on time series foundation models

Reference 111

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.942041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8fb4065-7861-4a90-84ec-094de54274cf · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

Into the ORBIT for Time Series: Training Regimes for Foundation Models A decoder-only foundation model for time-series forecasting

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.946464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eae137d2-5b26-471d-bd55-46b6f8b1128a · outbound

This paper cites Data package time series.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Data package time series

Reference 113

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.950909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aca77fc-6c01-4005-a310-9802ec473102 · outbound

This paper cites UK COVID-19 dashboard data.

Into the ORBIT for Time Series: Training Regimes for Foundation Models UK COVID-19 dashboard data

Reference 114

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:09:40.198617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3b0e1129-d682-4cb3-8965-a5d067e1d678 · outbound

This paper cites HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time series.

Into the ORBIT for Time Series: Training Regimes for Foundation Models HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time series

Reference 115

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.959837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb2f9af6-b32a-4ddb-b64e-5b013341bd2c · outbound

This paper cites De Vito , E.

Into the ORBIT for Time Series: Training Regimes for Foundation Models De Vito , E

Reference 116

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.963805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c52e48a-4912-4e09-a2c4-d8359c59b9c8 · outbound

This paper cites Respiratory viruses weekly data.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Respiratory viruses weekly data

Reference 117

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:09:40.181549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eee633be-79ea-425f-bbf6-f3feb3ddd51a · outbound

This paper cites Gifford, Chandra Reddy, and Jayant Kalagnanam.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Gifford, Chandra Reddy, and Jayant Kalagnanam

Reference 118

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:09:40.164631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8783e033-f77b-4baa-9159-eb221f826896 · outbound

This paper cites How not to lie with statistics: the correct way to summarize benchmark results.

Into the ORBIT for Time Series: Training Regimes for Foundation Models How not to lie with statistics: the correct way to summarize benchmark results

Reference 119

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.975771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ecaac6c-d550-4eec-877c-7a6e5740ede8 · outbound

This paper cites Rossmann store sales.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Rossmann store sales

Reference 120

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:09:40.138379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 64c8c2f2-7fa3-4ac6-bffc-2ddba1b2aa58 · outbound

This paper cites Webb, Rob Hyndman, and Pablo Montero-Manso.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Webb, Rob Hyndman, and Pablo Montero-Manso

Reference 121

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:09:40.121862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 85c21c07-b95a-4837-a772-0c1a766a0906 · outbound

This paper cites Moment: a family of open time-series foundation models.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Moment: a family of open time-series foundation models

Reference 122

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:09:40.105262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7896f630-03be-45b4-8c59-ce0a278123d7 · outbound

This paper cites M OMENT : A family of open time-series foundation models.

Into the ORBIT for Time Series: Training Regimes for Foundation Models M OMENT : A family of open time-series foundation models

Reference 123

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:09:40.089747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a4e43f3b-8a90-469a-82c2-1210a5a82823 · outbound

This paper cites TabPFN-3: Technical Report.

Into the ORBIT for Time Series: Training Regimes for Foundation Models TabPFN-3: Technical Report

Reference 124

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:37.999336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05994195-2805-4b29-a6a6-c59c188bbe09 · outbound

This paper cites GTM : A general time-series model for enhanced representation learning of time-series data.

Into the ORBIT for Time Series: Training Regimes for Foundation Models GTM : A general time-series model for enhanced representation learning of time-series data

Reference 125

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:09:40.073414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 82f0df75-8bf2-44ef-93b3-4d932ba4f87d · outbound

This paper cites Global energy forecasting competition 2012.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Global energy forecasting competition 2012

Reference 126

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:09:40.056787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8db9976e-7691-45f3-8f9e-fed1b684a59f · outbound

This paper cites From tables to time: Extending tabpfn-v2 to time series forecasting.

Into the ORBIT for Time Series: Training Regimes for Foundation Models From tables to time: Extending tabpfn-v2 to time series forecasting

Reference 127

Resolution: unresolved; no resolver link, observed 2026-08-14T15:09:38.014558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ab5541e-3dfc-492f-9fa4-1f596b0ea66e · outbound

This paper cites Recruit restaurant visitor forecasting.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Recruit restaurant visitor forecasting

Reference 128

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:09:40.039295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8eaed97c-797f-4325-a7d1-7d107dc98865 · outbound

This paper cites The landscape of agentic time series systems: Architectures, reliability, and frontiers.

Into the ORBIT for Time Series: Training Regimes for Foundation Models The landscape of agentic time series systems: Architectures, reliability, and frontiers

Reference 129

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:09:40.023120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers