Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:10:28.534989Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2508.20437.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:10:28.534989Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T06:16:41.778963Z
A source-named dated measurement, never combined with another source.
Source: cited_works
59 of 59 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d3cb646c-a373-49ee-8135-410f66081c10 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating , " * write output.state after.block = add.period write newline
Reference 1
Source-reported events for the cited work
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On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating write newline
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Source-reported events for the cited work
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Observation 06b06fb9-51b6-4346-aed5-2a82449492e2 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 3
Source-reported events for the cited work
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Observation cbf8f79e-0c00-4e19-b86f-67a9302cd74d · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 4
Source-reported events for the cited work
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Observation bdd2ec55-a5d7-44bd-b4da-135518ecf3ba · outbound
Reference 5
Source-reported events for the cited work
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Observation 862233fe-fc94-4552-9d56-80bd472e4635 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI
Reference 6
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Observation 7bb5c020-886f-4f39-bae1-f27a53b676df · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Chronos: Learning the Language of Time Series
Reference 7
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Observation 632b986e-adde-4527-a15b-1c993d282899 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating B.; D \' az-Rodr \' guez, N.; Del Ser, J.; Bennetot, A.; Tabik, S.; Barbado, A.; Garc \' a, S.; Gil-L \'o pez, S.; Molina, D.; Benjamins, R.; et al
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Source-reported events for the cited work
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Observation a381d317-988f-440b-9981-becb162ec688 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 9
Source-reported events for the cited work
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Observation d28dd7bd-3e37-4f9d-bbb1-ee7e8d37f8fa · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 10
Source-reported events for the cited work
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Observation 171af79f-27e9-4b01-8bcb-706ca555e381 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 11
Source-reported events for the cited work
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Observation 94b5f497-58bb-4c6d-9d0d-ed106294dbb6 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
Reference 12
Source-reported events for the cited work
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Observation 38858eaf-3bfd-4514-bd40-0c0699d140c0 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating B.; \.I can, \"O .; and Bulut, E
Reference 13
Source-reported events for the cited work
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Observation 9c3a197a-d5c9-4b55-9d63-fd78cd3429e0 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 14
Source-reported events for the cited work
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Observation bfd55fde-9238-432d-b190-a0525ec18c48 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating A decoder-only foundation model for time-series forecasting
Reference 15
Source-reported events for the cited work
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Observation 9c1b3b8c-e1db-4743-ba9e-c2f4412d6523 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating H.; Gifford, W
Reference 16
Source-reported events for the cited work
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Observation efdb51d6-5c84-42fd-a638-fed69642fe3d · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Do We Really Need Deep Learning Models for Time Series Forecasting?
Reference 17
Source-reported events for the cited work
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Observation 7792c090-9eda-4c44-bece-1d8cce6c748f · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating TimeGPT-1
Reference 18
Source-reported events for the cited work
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Observation 749defa8-d920-4b06-b943-53bbc87f95dc · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Monash Time Series Forecasting Archive
Reference 19
Source-reported events for the cited work
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Observation 27bf8389-e1e6-404b-a284-9ae33396a162 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating MOMENT: A Family of Open Time-series Foundation Models
Reference 20
Source-reported events for the cited work
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Observation 0ea86afc-ad40-4e8d-8ce8-e1561e51518f · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 21
Source-reported events for the cited work
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Observation 179fbd9b-2ea9-441a-8382-ad2f8ba4161e · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 22
Source-reported events for the cited work
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Observation d8b25531-1aec-4e1d-ac94-3746ffb69bc1 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating R.; Mueller, S
Reference 23
Source-reported events for the cited work
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Observation 283936e8-366a-476e-a652-16b012e69185 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 24
Source-reported events for the cited work
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On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Reference 25
Source-reported events for the cited work
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Observation 4abbcde5-99aa-4128-9ce3-a991f48c6356 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 26
Source-reported events for the cited work
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Observation 46e8f3f6-066d-4626-8c31-13338547e38b · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating L.; Zeng, Z.; Srivastava, B.; and Valtorta, M
Reference 27
Source-reported events for the cited work
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Observation c0fdb059-e6d1-4e2f-a2e0-524b2e6ad7df · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens
Reference 28
Source-reported events for the cited work
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Observation 7b4c0db9-6370-44bf-b328-8cfed47548df · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 29
Source-reported events for the cited work
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Observation edc422d6-8c85-490e-aef2-90899bfe7f4d · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating L.; and Srivastava, B
Reference 30
Source-reported events for the cited work
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Observation abdd43b4-0af9-4c26-8c25-de9ac25b2d81 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 31
Source-reported events for the cited work
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On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating M.; and Lee, S.-I
Reference 32
Source-reported events for the cited work
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On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating K.; and Kalita, J
Reference 33
Source-reported events for the cited work
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Observation a3544857-e4ec-4d01-9e2c-e45a3e8983ae · outbound
Reference 34
Source-reported events for the cited work
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Observation 43312b3a-fd56-45de-8ac0-008786fb2a0f · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating E.; Higdon, B
Reference 35
Source-reported events for the cited work
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Observation 61ee23c8-cc56-4644-9c5f-a71f49f93403 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating J.; Appajigowda, C.; Srivastava, B.; and Johri, L
Reference 36
Source-reported events for the cited work
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Observation 587b03b8-c22e-4647-ad4f-76f703df6927 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 37
Source-reported events for the cited work
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On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Reference 38
Source-reported events for the cited work
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On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating TsSHAP: Robust model agnostic feature-based explainability for time series forecasting
Reference 39
Source-reported events for the cited work
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Observation 87eb7de1-2b17-4fe4-9dc3-041817411aab · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating "Why Should I Trust You?": Explaining the Predictions of Any Classifier
Reference 40
Source-reported events for the cited work
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Observation 16905bdd-2e0a-4ff0-ab61-14cea0757646 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 41
Source-reported events for the cited work
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Observation 48ab8073-ddf6-48e7-9990-72b3fc3144fa · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 42
Source-reported events for the cited work
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Observation 92e66810-28ad-488d-86cf-e33e96a99b3b · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 43
Source-reported events for the cited work
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Observation 673abc72-2626-4d82-8e61-bdf4aa3c893a · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models
Reference 44
Source-reported events for the cited work
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Observation c705e820-c980-4254-a979-37e1e44aabca · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 45
Source-reported events for the cited work
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Observation 7c6bca8c-0f5c-4f6f-8b02-b26e3b922ef3 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating H.; and Stoffer, D
Reference 46
Source-reported events for the cited work
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Observation 142bf933-db56-4e86-8255-5d17c7b58079 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 47
Source-reported events for the cited work
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Observation a204b921-2ff0-4aaf-a01b-e11aa0d215dd · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating M.; and Speed, T
Reference 48
Source-reported events for the cited work
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Observation 02e7e736-d3b5-4e11-9ac9-5c30d1d153fc · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 49
Source-reported events for the cited work
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On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 50
Source-reported events for the cited work
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On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 51
Source-reported events for the cited work
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On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Reference 52
Source-reported events for the cited work
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On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating U.; Islam, S.; and Khan, R
Reference 53
Source-reported events for the cited work
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On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Retrieval Augmented Time Series Forecasting
Reference 54
Source-reported events for the cited work
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On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unified Training of Universal Time Series Forecasting Transformers
Reference 55
Source-reported events for the cited work
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Observation 7e173a8e-6bc8-4692-801e-31267d6edaa7 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Retrieval-augmented Large Language Models for Financial Time Series Forecasting
Reference 56
Source-reported events for the cited work
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Observation 6d23b671-12cb-41d4-a809-c2823b185b3f · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting
Reference 57
Source-reported events for the cited work
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Observation 17af6c23-f41f-4918-980c-0964f0c852f6 · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 58
Source-reported events for the cited work
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Observation a2b6224e-4704-4184-ba63-8f7b63c8f12c · outbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work
Reference 59
Source-reported events for the cited work
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Observation 0ec449fb-6c70-4cf7-aea1-dbe087583020 · inbound
The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.