Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-23T04:28:55.141475Z
Paper Citation Record · LEDGER
Sundial: A Family of Highly Capable Time Series Foundation Models
As of 4 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 25 inbound Pith citation observations for arXiv:2502.00816.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T18:09:25.347029Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T06:15:00.866473Z
Reference resolution
39 of 39 outbound references displayed
- verified exact20
- verified fuzzy9
- unresolved1
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2010e063-4fdb-4abb-be10-acfbfd4140d0 · outbound
This paper cites Chronos: Learning the Language of Time Series.
Sundial: A Family of Highly Capable Time Series Foundation Models Chronos: Learning the Language of Time Series
Reference 1
- Resolution
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- local_arxiv, observed 2026-05-23T04:32:33.896569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 868aa613-2699-4ea5-b8fb-281dfeb881e9 · outbound
This paper cites Adaptive Input Representations for Neural Language Modeling.
Sundial: A Family of Highly Capable Time Series Foundation Models Adaptive Input Representations for Neural Language Modeling
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T04:32:33.902256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fb69bd93-fbbc-480b-bd4d-1d0fe084e94c · outbound
This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.
Sundial: A Family of Highly Capable Time Series Foundation Models An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T04:32:33.908435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b549037a-e5a6-4e0e-80fa-26671e3c22ae · outbound
This paper cites On the Opportunities and Risks of Foundation Models.
Sundial: A Family of Highly Capable Time Series Foundation Models On the Opportunities and Risks of Foundation Models
Reference 4
- Resolution
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- local_arxiv, observed 2026-05-23T04:32:33.890926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ee6ef869-4047-41a7-8c41-8aba44875028 · outbound
This paper cites Long-term Forecasting with TiDE: Time-series Dense Encoder.
Sundial: A Family of Highly Capable Time Series Foundation Models Long-term Forecasting with TiDE: Time-series Dense Encoder
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:33.835688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1970cbde-12ba-4f23-a488-ddac4fe26f9b · outbound
This paper cites MOMENT: A Family of Open Time-series Foundation Models.
Sundial: A Family of Highly Capable Time Series Foundation Models MOMENT: A Family of Open Time-series Foundation Models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:33.879463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation aa51f467-8cee-4f7c-b1be-d67f463874f3 · outbound
This paper cites Large Language Models Are Zero-Shot Time Series Forecasters.
Sundial: A Family of Highly Capable Time Series Foundation Models Large Language Models Are Zero-Shot Time Series Forecasters
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:33.936997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 173368d5-8008-4f22-ae32-4f47c4f17e5e · outbound
This paper cites The era5 global reanalysis.Quarterly Journal of the Royal Meteorological Society, 146(730): 1999–2049.
Sundial: A Family of Highly Capable Time Series Foundation Models The era5 global reanalysis.Quarterly Journal of the Royal Meteorological Society, 146(730): 1999–2049
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8df23aa3-1646-45d9-bd5a-da95b528dff6 · outbound
This paper cites B., M¨uller, S., Salinas, D., and Hutter, F.
Sundial: A Family of Highly Capable Time Series Foundation Models B., M¨uller, S., Salinas, D., and Hutter, F
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:33.949498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cc77f2c6-f037-46e1-be9f-ead5354e077b · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Sundial: A Family of Highly Capable Time Series Foundation Models Adam: A Method for Stochastic Optimization
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T04:32:33.962307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b581805d-3a5b-45b4-8a2d-e95a23a02073 · outbound
This paper cites Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting.
Sundial: A Family of Highly Capable Time Series Foundation Models Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:33.943750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation be224185-87b4-4dbc-9887-509cfa9d7f58 · outbound
This paper cites Autoregressive Image Generation without Vector Quantization.
Sundial: A Family of Highly Capable Time Series Foundation Models Autoregressive Image Generation without Vector Quantization
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:33.955847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation adc24687-f2aa-40d8-9558-b83701912544 · outbound
This paper cites Flow Matching for Generative Modeling.
Sundial: A Family of Highly Capable Time Series Foundation Models Flow Matching for Generative Modeling
Reference 13
- Resolution
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- local_arxiv, observed 2026-05-23T04:32:33.925296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation db6a2acb-5f2e-41a8-96ea-17e85b6171d9 · outbound
This paper cites Flow Matching Guide and Code.
Sundial: A Family of Highly Capable Time Series Foundation Models Flow Matching Guide and Code
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-23T04:32:33.919950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation da32fd26-f327-47b2-8213-616f3b20007c · outbound
This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.
Sundial: A Family of Highly Capable Time Series Foundation Models iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T04:32:33.885698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 97bd4d98-58cd-4dc4-a9d8-b2079b4bbffa · outbound
This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.
Sundial: A Family of Highly Capable Time Series Foundation Models A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 55f73436-270a-4de9-a52b-320af0f6cb16 · outbound
This paper cites GPT-4 Technical Report.
Sundial: A Family of Highly Capable Time Series Foundation Models GPT-4 Technical Report
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T04:32:33.930658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5df97453-afdc-4583-bc8b-d0b09b1803ce · outbound
This paper cites N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Sundial: A Family of Highly Capable Time Series Foundation Models N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Reference 18
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-23T04:32:33.975104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2dac39d7-bd37-44d3-8131-3a4c168598e6 · outbound
This paper cites Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting.
Sundial: A Family of Highly Capable Time Series Foundation Models Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-23T04:32:33.867086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c65734e3-4e80-4cf7-a32b-708e31bc4207 · outbound
This paper cites Scaling Law for Time Series Forecasting.
Sundial: A Family of Highly Capable Time Series Foundation Models Scaling Law for Time Series Forecasting
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:33.846985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5142b7c5-1768-477a-b3e5-709b3f954f07 · outbound
This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.
Sundial: A Family of Highly Capable Time Series Foundation Models Improving and generalizing flow-based generative models with minibatch optimal transport
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T04:32:33.853747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9e36a4d9-eeb3-4182-bb0c-e8199f26aad2 · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
Sundial: A Family of Highly Capable Time Series Foundation Models LLaMA: Open and Efficient Foundation Language Models
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T04:32:33.859773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 136b2f8b-8475-4bd4-b39d-d588223f7d77 · outbound
This paper cites Finetuned Language Models Are Zero-Shot Learners.
Sundial: A Family of Highly Capable Time Series Foundation Models Finetuned Language Models Are Zero-Shot Learners
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T04:32:33.872773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 14e8ed2f-c44d-43b6-ba4c-3f3edc1c246b · outbound
This paper cites A Multi-Horizon Quantile Recurrent Forecaster.
Sundial: A Family of Highly Capable Time Series Foundation Models A Multi-Horizon Quantile Recurrent Forecaster
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T04:32:33.817178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4b272d74-e386-4320-903f-ff8486396d69 · outbound
This paper cites Unified Training of Universal Time Series Forecasting Transformers.
Sundial: A Family of Highly Capable Time Series Foundation Models Unified Training of Universal Time Series Forecasting Transformers
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:33.823042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ce75b2a5-8223-4336-ad9c-45492852c73f · outbound
This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.
Sundial: A Family of Highly Capable Time Series Foundation Models TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T04:32:33.828729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 282727af-20ee-4d04-9d6a-db848829020a · outbound
This paper cites A Survey of Large Language Models.
Sundial: A Family of Highly Capable Time Series Foundation Models A Survey of Large Language Models
Reference 27
- Resolution
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- local_arxiv, observed 2026-05-23T04:32:33.841031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 63984365-221e-41a0-aa6d-4d56971d3d41 · outbound
This paper cites Dataset Statistics Large-scale datasets are of paramount importance for pre-training foundation models.
Sundial: A Family of Highly Capable Time Series Foundation Models Dataset Statistics Large-scale datasets are of paramount importance for pre-training foundation models
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T06:07:38.536632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cfe746a4-4005-4a2a-adda-55c22f20c79b · outbound
This paper cites These resources enable us to construct large-scale time-series corpora exceeding a trillion time points.
Sundial: A Family of Highly Capable Time Series Foundation Models These resources enable us to construct large-scale time-series corpora exceeding a trillion time points
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4dcf41a2-b2ae-4dae-bb10-553fcd36ee39 · outbound
This paper cites We adopt S3 format (Liu et al., 2024b) for univariate pre-training.
Sundial: A Family of Highly Capable Time Series Foundation Models We adopt S3 format (Liu et al., 2024b) for univariate pre-training
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T06:07:38.527894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2e64e48c-9f10-47ef-ac42-54367917187a · outbound
This paper cites For the required prediction length less than the model prediction length, we truncate the output generated by Sundial.
Sundial: A Family of Highly Capable Time Series Foundation Models For the required prediction length less than the model prediction length, we truncate the output generated by Sundial
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T06:07:38.508005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cae79374-be38-4954-8c22-a93a3b014bce · outbound
This paper cites an unresolved cited work.
Sundial: A Family of Highly Capable Time Series Foundation Models Unresolved cited work
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 37c60f82-f2a2-436a-9aa9-e6abe6c92c9c · outbound
This paper cites an unresolved cited work.
Sundial: A Family of Highly Capable Time Series Foundation Models Unresolved cited work
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a0c8e57d-9f65-4034-b096-21782cb906ef · outbound
This paper cites We report the averaged results from four prediction lengths{96,192,336,720}on Time-Series-Library (Wu et al., 2022).
Sundial: A Family of Highly Capable Time Series Foundation Models We report the averaged results from four prediction lengths{96,192,336,720}on Time-Series-Library (Wu et al., 2022)
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T06:07:38.513168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b0286941-4b4f-4d34-abe3-ebb3c1c2ed13 · outbound
This paper cites We report the averaged results from four prediction lengths{96,192,336,720}on Time-Series-Library (Wu et al., 2022).
Sundial: A Family of Highly Capable Time Series Foundation Models We report the averaged results from four prediction lengths{96,192,336,720}on Time-Series-Library (Wu et al., 2022)
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T06:07:38.530858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 68268741-a57d-43fc-aad8-a3ab2e031bbb · outbound
This paper cites We conduct zero-shot evaluations on datasets that are not included during the pre-training of the corresponding models.
Sundial: A Family of Highly Capable Time Series Foundation Models We conduct zero-shot evaluations on datasets that are not included during the pre-training of the corresponding models
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T06:07:38.516455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 128d4285-1d5d-4b64-a777-b021a193f94b · outbound
This paper cites (2024) and established by AutoGluon, which comprises 27 datasets for zero-shot evaluation.
Sundial: A Family of Highly Capable Time Series Foundation Models (2024) and established by AutoGluon, which comprises 27 datasets for zero-shot evaluation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T06:07:38.519223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3138965e-d487-4fa0-ac0e-7d7b0e11e39a · outbound
This paper cites By generating 20 predictions with different initial noise, we estimate the median and 80% prediction interval.
Sundial: A Family of Highly Capable Time Series Foundation Models By generating 20 predictions with different initial noise, we estimate the median and 80% prediction interval
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T06:07:38.522438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 90ec38a9-7a2d-469e-8e1d-c18df447a599 · outbound
This paper cites A lower MSE or MAE indicates a better prediction.
Sundial: A Family of Highly Capable Time Series Foundation Models A lower MSE or MAE indicates a better prediction
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:33.968870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation ad755879-b2a7-4556-bcfc-90a524eba5aa · inbound
An AI system to help scientists write expert-level empirical software cites this paper.
An AI system to help scientists write expert-level empirical software Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T22:44:24.317323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 16bd1330-4716-48c7-b0a1-95f4ea3dcd1d · inbound
An AI system to help scientists write expert-level empirical software cites this paper.
An AI system to help scientists write expert-level empirical software Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T13:24:53.432454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8fe87369-1208-4106-b0e6-139b839e1329 · inbound
Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting cites this paper.
Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:25:34.082745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 21a14d76-58e6-44b1-97e4-b2ad58fd5bb6 · inbound
AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting cites this paper.
AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T23:10:26.140257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bfef1528-c04e-4078-90a6-77f348b7cb61 · inbound
TS-Arena -- A Live Forecast Pre-Registration Platform cites this paper.
TS-Arena -- A Live Forecast Pre-Registration Platform Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T20:01:13.266013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 53847d74-7c91-4a2e-b66e-47f2cc002562 · inbound
Is Flow Matching Just Trajectory Replay for Sequential Data? cites this paper.
Is Flow Matching Just Trajectory Replay for Sequential Data? Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 75
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T06:22:27.545708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1b711c41-f1ec-4022-a2fe-877587d2cb5f · inbound
Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling cites this paper.
Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T16:50:10.897669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c19f76b6-7c4d-4bb5-ac1e-c5e4b4829bc8 · inbound
Time-Aware Prior Fitted Networks for Zero-Shot Forecasting with Exogenous Variables cites this paper.
Time-Aware Prior Fitted Networks for Zero-Shot Forecasting with Exogenous Variables Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T18:09:25.347029Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 36019ecf-b706-4e0b-946b-72e6efa1e62b · inbound
TempusBench: An Evaluation Framework for Time-Series Forecasting cites this paper.
TempusBench: An Evaluation Framework for Time-Series Forecasting Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T01:43:39.902201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e324e99b-2f48-4801-9ed1-8756b8399396 · inbound
Predicting Power-System Dynamic Trajectories with Foundation Models cites this paper.
Predicting Power-System Dynamic Trajectories with Foundation Models Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T01:43:39.902201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0ea626a3-19fa-4af5-8d30-720952e0f04f · inbound
FM-CAC: Carbon-Aware Control for Battery-Buffered Edge AI via Time-Series Foundation Models cites this paper.
FM-CAC: Carbon-Aware Control for Battery-Buffered Edge AI via Time-Series Foundation Models Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T01:43:39.902201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 97f9d453-6e19-4273-b668-3d63acfa0c15 · inbound
TimeClaw: A Time-Series AI Agent with Exploratory Execution Learning cites this paper.
TimeClaw: A Time-Series AI Agent with Exploratory Execution Learning Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T02:51:17.562338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bd43c42a-12ab-4b52-b7d3-b0b78ee94738 · inbound
What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions cites this paper.
What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 41
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T02:13:30.382442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 867d58ae-a9f6-4a83-aab7-36dde2f17569 · inbound
Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density cites this paper.
Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T14:43:22.361345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2819338a-6b9a-4e71-baf4-bfef1a349db9 · inbound
AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting cites this paper.
AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T12:34:38.525115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c1a5586a-3071-4d1d-b08c-d725314a1cd6 · inbound
Experiments in Agentic AI for Science cites this paper.
Experiments in Agentic AI for Science Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T22:34:02.869246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6124ea1b-0e7d-4f18-bb19-454e4422145a · inbound
PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation cites this paper.
PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:35:12.744049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 35cec728-50f2-49be-9ae2-aa4a773acc8c · inbound
SRT: Super-Resolution for Time Series via Disentangled Rectified Flow cites this paper.
SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T23:42:49.991616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2234a441-aad9-4146-849b-fd5cdf8d65d9 · inbound
Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model? cites this paper.
Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model? Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T22:17:25.867813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b7964444-4fdc-4668-adde-14139fc6a584 · inbound
Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting cites this paper.
Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T22:27:26.147148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7690ab8c-03d4-4dc3-9043-0ccb52ee8e5b · inbound
CloudCons: A Comprehensive End-to-End Benchmark for Cloud Resource Consolidation cites this paper.
CloudCons: A Comprehensive End-to-End Benchmark for Cloud Resource Consolidation Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:28:31.518829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 494e0676-f445-436a-8617-4d0e37b61a67 · inbound
TiRex-2: Generalizing TiRex to Multivariate Data and Streaming cites this paper.
TiRex-2: Generalizing TiRex to Multivariate Data and Streaming Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T14:57:03.638826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 641e1a2f-22c3-4d5a-bb52-d60eb88e22b5 · inbound
Probabilistic Low-Voltage Peak Load Forecasting with Time Series Foundation Models Evaluated on Application-Oriented Metrics cites this paper.
Probabilistic Low-Voltage Peak Load Forecasting with Time Series Foundation Models Evaluated on Application-Oriented Metrics Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T17:28:44.097321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 251889df-28fb-46f0-ab1d-82847035161d · inbound
Forecasting Realized Volatility with Time Series Foundation Models: A Comparison with Econometric Benchmarks cites this paper.
Forecasting Realized Volatility with Time Series Foundation Models: A Comparison with Econometric Benchmarks Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 79
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-07T19:34:06.423568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8ef63c67-df9b-4c97-81f2-59efcdb852eb · inbound
Expert-Guided Forecast Editing for Time-Series Foundation Models cites this paper.
Expert-Guided Forecast Editing for Time-Series Foundation Models Sundial: A Family of Highly Capable Time Series Foundation Models
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T12:08:54.121766Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.