DELPHYNE: A Pre-Trained Model for General and Financial Time Series | Paper Citation Record

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This paper cites Maddix, Syama Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner T \"u rkmen, and Yuyang Wang.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Maddix, Syama Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner T \"u rkmen, and Yuyang Wang

Reference 1

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Observation 9577792b-542f-4532-a0f7-b968911185e3 · outbound

This paper cites Chronos: Learning the Language of Time Series.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Chronos: Learning the Language of Time Series

Reference 2

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This paper cites Machine Learning Methods for Inflation Forecasting in B razil: New Contenders versus Classical Models.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Machine Learning Methods for Inflation Forecasting in B razil: New Contenders versus Classical Models

Reference 3

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This paper cites Assimakopoulos and K.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Assimakopoulos and K

Reference 4

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This paper cites Generalized Autoregressive Conditional Heteroskedasticity , journal = Journal of Econometrics.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Generalized Autoregressive Conditional Heteroskedasticity , journal = Journal of Econometrics

Reference 5

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DELPHYNE: A Pre-Trained Model for General and Financial Time Series Unresolved cited work

Reference 6

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This paper cites LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters

Reference 7

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Observation fc0fd589-9e6f-4c11-8de2-2e1980f45d8f · outbound

This paper cites C hat GPT Informed Graph Neural Network for Stock Movement Prediction.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series C hat GPT Informed Graph Neural Network for Stock Movement Prediction

Reference 8

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Observation cca7dab0-10f7-4ae9-80bf-97d5c0b23d8b · outbound

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

DELPHYNE: A Pre-Trained Model for General and Financial Time Series A decoder-only foundation model for time-series forecasting

Reference 9

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Observation 85d379c7-bbd9-4ac3-a94e-449b71f06c7d · outbound

This paper cites CatBoost: gradient boosting with categorical features support.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series CatBoost: gradient boosting with categorical features support

Reference 10

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Observation de1fbf4a-d06e-49b6-b1c0-a2c6c2353ec0 · outbound

This paper cites Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

Reference 11

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This paper cites Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning

Reference 12

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Observation 5957a43a-c0a9-460b-af34-fda7ec261303 · outbound

This paper cites BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting

Reference 13

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Observation 1566ee78-9596-42c8-ad87-9557735f3667 · outbound

This paper cites Dish- TS : A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Dish- TS : A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting

Reference 14

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This paper cites TimeGPT-1.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series TimeGPT-1

Reference 15

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This paper cites Strictly Proper Scoring Rules, Prediction, and Estimation.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Strictly Proper Scoring Rules, Prediction, and Estimation

Reference 16

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DELPHYNE: A Pre-Trained Model for General and Financial Time Series Unresolved cited work

Reference 17

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Observation 75c83a61-d75b-4fb3-a25d-294fdb1ccb9e · outbound

This paper cites Neuralfactors: A novel factor learning approach to generative modeling of equities.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Neuralfactors: A novel factor learning approach to generative modeling of equities

Reference 18

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Observation e744e430-474f-496a-acb8-f20201dff25f · outbound

This paper cites Unsupervised Model Selection for Time Series Anomaly Detection.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Unsupervised Model Selection for Time Series Anomaly Detection

Reference 19

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This paper cites MOMENT: A Family of Open Time-series Foundation Models.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series MOMENT: A Family of Open Time-series Foundation Models

Reference 20

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This paper cites Large Language Models Are Zero-Shot Time Series Forecasters.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Large Language Models Are Zero-Shot Time Series Forecasters

Reference 21

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This paper cites Masked Autoencoders Are Scalable Vision Learners.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Masked Autoencoders Are Scalable Vision Learners

Reference 22

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This paper cites Hoffman and Andrew Gelman.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Hoffman and Andrew Gelman

Reference 23

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This paper cites Tab PFN : A Transformer That Solves Small Tabular Classification Problems in a Second.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Tab PFN : A Transformer That Solves Small Tabular Classification Problems in a Second

Reference 24

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This paper cites Deep Learning Volatility.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Deep Learning Volatility

Reference 25

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This paper cites Errors on Percentage Errors , 4 2014.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Errors on Percentage Errors , 4 2014

Reference 26

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This paper cites Another Look at Measures of Forecast Accuracy.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Another Look at Measures of Forecast Accuracy

Reference 27

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This paper cites Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, and Qingsong Wen.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, and Qingsong Wen

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:15:54.559778Z

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This paper cites A Study of BFLOAT16 for Deep Learning Training.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series A Study of BFLOAT16 for Deep Learning Training

Reference 29

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This paper cites Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:15:54.544981Z

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This paper cites Aditya Prakash.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Aditya Prakash

Reference 31

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This paper cites Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, and B.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, and B

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:15:54.519819Z

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This paper cites LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting

Reference 33

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This paper cites Large ST : A Benchmark Dataset for Large-Scale Traffic Forecasting.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Large ST : A Benchmark Dataset for Large-Scale Traffic Forecasting

Reference 34

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This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 35

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Observation bf4aba63-7773-465f-b6a8-58f6e0bebf2e · outbound

This paper cites NeuralBeta: Estimating Beta Using Deep Learning.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series NeuralBeta: Estimating Beta Using Deep Learning

Reference 36

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Observation bdee79a1-fbbb-49be-b71b-07e38aa5b1a1 · outbound

This paper cites Can chatgpt forecast stock price movements? return predictability and large language models.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Can chatgpt forecast stock price movements? return predictability and large language models

Reference 37

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This paper cites The M4 Competition: 100,000 time series and 61 forecasting methods.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series The M4 Competition: 100,000 time series and 61 forecasting methods

Reference 38

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This paper cites Position: Graph Foundation Models Are Already Here.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Position: Graph Foundation Models Are Already Here

Reference 39

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This paper cites Mouatadid, P.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Mouatadid, P

Reference 40

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Observation 8298ef6a-404e-45bd-90cb-ddde3745f91d · outbound

This paper cites Transformers Can Do B ayesian I nference.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Transformers Can Do B ayesian I nference

Reference 41

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Observation 1ef5a65f-269d-4c0e-a225-f6ffffc058e9 · outbound

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

DELPHYNE: A Pre-Trained Model for General and Financial Time Series A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 42

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Observation 6b034c1a-bc2a-4f38-ac04-e08dda55874d · outbound

This paper cites Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:15:54.425100Z

Source-reported events for the cited work

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Observation 85fe2a90-77ab-445c-96d5-085a86f990a9 · outbound

This paper cites Learning Quantile Functions without Quantile Crossing for Distribution-Free Time Series Forecasting.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Learning Quantile Functions without Quantile Crossing for Distribution-Free Time Series Forecasting

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:15:54.413653Z

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Observation ca4f9594-1852-47c7-af69-e7139781e52c · outbound

This paper cites Deep Learning for Volatility Forecasting in Asset Management.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Deep Learning for Volatility Forecasting in Asset Management

Reference 45

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

Observation 50832eea-3297-4375-b887-8cad373c4b12 · outbound

This paper cites Lag- L lama: Towards Foundation Models for Time Series Forecasting.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Lag- L lama: Towards Foundation Models for Time Series Forecasting

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:15:54.402208Z

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Observation b5be95f8-347c-46ff-bda5-75de8f4f9660 · outbound

This paper cites DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

Reference 48

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This paper cites GLU Variants Improve Transformer.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series GLU Variants Improve Transformer

Reference 49

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DELPHYNE: A Pre-Trained Model for General and Financial Time Series RoFormer: Enhanced transformer with Rotary Position Embedding

Reference 50

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This paper cites Generative Machine Learning for Multivariate Equity Returns.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Generative Machine Learning for Multivariate Equity Returns

Reference 51

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This paper cites ElectricityLoadDiagrams20112014.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series ElectricityLoadDiagrams20112014

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:15:54.390533Z

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Observation b08da31e-7a0d-471b-8adc-6ee7a1e5e099 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series WaveNet: A Generative Model for Raw Audio

Reference 53

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This paper cites Cross-Frequency Time Series Meta-Forecasting.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Cross-Frequency Time Series Meta-Forecasting

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:15:53.840331Z

Source-reported events for the cited work

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

Observation 762734cd-de35-4b5e-9480-2f337f2e448d · outbound

This paper cites LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T22:15:53.457722Z

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DELPHYNE: A Pre-Trained Model for General and Financial Time Series Subgraph Pooling: Tackling Negative Transfer on Graphs

Reference 56

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DELPHYNE: A Pre-Trained Model for General and Financial Time Series Benchmarks and Custom Package for Electrical Load Forecasting , 2024 b

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:15:54.377687Z

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DELPHYNE: A Pre-Trained Model for General and Financial Time Series Characterizing and Avoiding Negative Transfer

Reference 58

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This paper cites Transformers in Time Series: A Survey.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Transformers in Time Series: A Survey

Reference 59

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DELPHYNE: A Pre-Trained Model for General and Financial Time Series Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain

Reference 60

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DELPHYNE: A Pre-Trained Model for General and Financial Time Series Unified Training of Universal Time Series Forecasting Transformers

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:15:54.364903Z

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This paper cites Timesnet: Temporal 2d-variation modeling for general time series analysis.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Timesnet: Temporal 2d-variation modeling for general time series analysis

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:15:54.351744Z

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This paper cites On Layer Normalization in the Transformer Architecture.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series On Layer Normalization in the Transformer Architecture

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:15:54.339569Z

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This paper cites Temporal regularized matrix factorization for high-dimensional time series prediction.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Temporal regularized matrix factorization for high-dimensional time series prediction

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:15:54.327352Z

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This paper cites Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 65

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This paper cites Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T22:15:53.501769Z

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DELPHYNE: A Pre-Trained Model for General and Financial Time Series FED former: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:15:54.313957Z

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Observation 07a739cc-1d56-4a78-b34e-b147e35393bd · outbound

This paper cites One Fits All: Power General Time Series Analysis by Pretrained LM.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series One Fits All: Power General Time Series Analysis by Pretrained LM

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:15:54.302293Z

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Observation 2030cf20-c94e-42cb-a0b6-9d2bc63a9927 · outbound

This paper cites @esa (Ref.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series @esa (Ref

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T22:15:53.513553Z

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DELPHYNE: A Pre-Trained Model for General and Financial Time Series Unresolved cited work

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T22:15:53.518490Z

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This paper cites Aggregated.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Aggregated

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T22:15:53.522821Z

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Outbound references

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