Text Reinforcement for Multimodal Time Series Forecasting | Paper Citation Record

Observation d1d92f86-3864-4167-b54b-53d644773168 · outbound

This paper cites A time series analysis-based stock price prediction using machine learning and deep learning models,.

Text Reinforcement for Multimodal Time Series Forecasting A time series analysis-based stock price prediction using machine learning and deep learning models,

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This paper cites An improved deep learning model for predicting stock market price time series,.

Text Reinforcement for Multimodal Time Series Forecasting An improved deep learning model for predicting stock market price time series,

Reference 2

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This paper cites Effective stock price prediction using time series forecast- ing,.

Text Reinforcement for Multimodal Time Series Forecasting Effective stock price prediction using time series forecast- ing,

Reference 3

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This paper cites A real-time weather forecasting and analysis,.

Text Reinforcement for Multimodal Time Series Forecasting A real-time weather forecasting and analysis,

Reference 4

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This paper cites Transductive lstm for time-series prediction: An application to weather forecasting,.

Text Reinforcement for Multimodal Time Series Forecasting Transductive lstm for time-series prediction: An application to weather forecasting,

Reference 5

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This paper cites Temporal convolutional neural (tcn) network for an effective weather forecasting using time-series data from the local weather station,.

Text Reinforcement for Multimodal Time Series Forecasting Temporal convolutional neural (tcn) network for an effective weather forecasting using time-series data from the local weather station,

Reference 6

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Observation 0fd06f85-5a3c-40ec-8bc2-54bed1871f8b · outbound

This paper cites Forecasting energy demand in china and india: Using single-linear, hybrid-linear, and non-linear time series forecast techniques,.

Text Reinforcement for Multimodal Time Series Forecasting Forecasting energy demand in china and india: Using single-linear, hybrid-linear, and non-linear time series forecast techniques,

Reference 7

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Observation 62dd3b1d-3241-4d06-a6d2-cf7d179d87cc · outbound

This paper cites Forecasting energy time series with profile neural networks,.

Text Reinforcement for Multimodal Time Series Forecasting Forecasting energy time series with profile neural networks,

Reference 8

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Observation f5d4f876-dc1f-4bab-a218-c4f1e02cd088 · outbound

This paper cites Temporal convolutional networks applied to energy- related time series forecasting,.

Text Reinforcement for Multimodal Time Series Forecasting Temporal convolutional networks applied to energy- related time series forecasting,

Reference 9

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Observation 4357eab0-a063-457c-a965-fac58f97806d · outbound

This paper cites Usage of time series fore- casting model in supply chain sales prediction,.

Text Reinforcement for Multimodal Time Series Forecasting Usage of time series fore- casting model in supply chain sales prediction,

Reference 10

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Observation fac747aa-500f-4800-8555-7c10af390546 · outbound

This paper cites Fore- casting hierarchical time series in supply chains: an empirical investigation,.

Text Reinforcement for Multimodal Time Series Forecasting Fore- casting hierarchical time series in supply chains: an empirical investigation,

Reference 11

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Observation 74a7758d-4963-4416-a50c-0b9922cac626 · outbound

This paper cites Time series forecasting and mod- eling of food demand supply chain based on regressors analysis,.

Text Reinforcement for Multimodal Time Series Forecasting Time series forecasting and mod- eling of food demand supply chain based on regressors analysis,

Reference 12

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Observation 36891088-58de-476a-b879-ac3650d6b231 · outbound

This paper cites Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting,.

Text Reinforcement for Multimodal Time Series Forecasting Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting,

Reference 13

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Observation 0bbbb6ee-856c-44d7-9679-00ff9fd25604 · outbound

This paper cites Informer: Beyond efficient transformer for long se- quence time-series forecasting,.

Text Reinforcement for Multimodal Time Series Forecasting Informer: Beyond efficient transformer for long se- quence time-series forecasting,

Reference 14

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Observation 99bf9c11-3917-4162-b90e-a0f624bcee15 · outbound

This paper cites Autoformer: Decomposition transformers with auto-correlation for long-term series forecast- ing,.

Text Reinforcement for Multimodal Time Series Forecasting Autoformer: Decomposition transformers with auto-correlation for long-term series forecast- ing,

Reference 15

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Observation 7833f0ea-03e0-4806-8bbe-1ff2cd975e5b · outbound

This paper cites Pyraformer: Low-complexity pyramidal attention for long- range time series modeling and forecasting,.

Text Reinforcement for Multimodal Time Series Forecasting Pyraformer: Low-complexity pyramidal attention for long- range time series modeling and forecasting,

Reference 16

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Observation 749ecb46-a232-400d-a13b-9f4fa692ce71 · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting,.

Text Reinforcement for Multimodal Time Series Forecasting Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting,

Reference 17

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Observation 7397f770-189e-4658-b95a-0b82450ac843 · outbound

This paper cites ETSformer: Exponential Smoothing Transformers for Time-series Forecasting.

Text Reinforcement for Multimodal Time Series Forecasting ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 18

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Observation dedb1815-8458-4c69-8247-629c37b535c3 · outbound

This paper cites Diffusion Models for Time Series Forecasting: A Survey.

Text Reinforcement for Multimodal Time Series Forecasting Diffusion Models for Time Series Forecasting: A Survey

Reference 19

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Observation 20efdd91-5f30-44f0-a408-ad2b3ecb3c75 · outbound

This paper cites Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis.

Text Reinforcement for Multimodal Time Series Forecasting Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 20

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Observation 719cfc8d-b4a0-4164-97a0-9bce8e3017ae · outbound

This paper cites Context Matters: Leveraging Contextual Features for Time Series Forecasting.

Text Reinforcement for Multimodal Time Series Forecasting Context Matters: Leveraging Contextual Features for Time Series Forecasting

Reference 21

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Observation cf4a34db-5695-4303-8b3d-252535e25450 · outbound

This paper cites Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data.

Text Reinforcement for Multimodal Time Series Forecasting Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data

Reference 22

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Observation b403323c-0e38-4e9b-96ce-53f0fdcc958e · outbound

This paper cites Financial time series forecasting with multi-modality graph neural network,.

Text Reinforcement for Multimodal Time Series Forecasting Financial time series forecasting with multi-modality graph neural network,

Reference 23

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Observation a36a10a2-241f-4964-82ed-a31f90cbc926 · outbound

This paper cites Taxi demand forecasting based on the temporal multimodal information fusion graph neural network,.

Text Reinforcement for Multimodal Time Series Forecasting Taxi demand forecasting based on the temporal multimodal information fusion graph neural network,

Reference 24

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Observation 7a96865f-1a4b-4d2b-be30-baea26c3d901 · outbound

This paper cites Unveiling the Potential of Text in High-Dimensional Time Series Forecasting.

Text Reinforcement for Multimodal Time Series Forecasting Unveiling the Potential of Text in High-Dimensional Time Series Forecasting

Reference 25

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Observation b37dcf9b-38ea-4071-bbed-ff244687136f · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

Text Reinforcement for Multimodal Time Series Forecasting Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 26

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Observation 35999607-29fd-4332-a346-cbbb951c3bf0 · outbound

This paper cites Chattime: A unified multimodal time series foundation model bridging numerical and textual data,.

Text Reinforcement for Multimodal Time Series Forecasting Chattime: A unified multimodal time series foundation model bridging numerical and textual data,

Reference 27

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Observation 7865d775-89dc-477a-b8ed-671ff8d8a05e · outbound

This paper cites Fusing Large Language Models with Temporal Transformers for Time Series Forecasting.

Text Reinforcement for Multimodal Time Series Forecasting Fusing Large Language Models with Temporal Transformers for Time Series Forecasting

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:25:56.366053Z

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Observation e04e8532-166e-4a87-bafe-6d6d33232668 · outbound

This paper cites Multimodal Conditioned Diffusive Time Series Forecasting.

Text Reinforcement for Multimodal Time Series Forecasting Multimodal Conditioned Diffusive Time Series Forecasting

Reference 29

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Observation 7f37e2a2-0e31-418e-acf0-4197eec42e42 · outbound

This paper cites Textual Data for Time Series Forecasting.

Text Reinforcement for Multimodal Time Series Forecasting Textual Data for Time Series Forecasting

Reference 30

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Observation 8f354c4f-b6c9-4f3a-838f-c30274075f36 · outbound

This paper cites A survey on image data augmentation for deep learning,.

Text Reinforcement for Multimodal Time Series Forecasting A survey on image data augmentation for deep learning,

Reference 31

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This paper cites A review: Data pre- processing and data augmentation techniques,.

Text Reinforcement for Multimodal Time Series Forecasting A review: Data pre- processing and data augmentation techniques,

Reference 32

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Observation 7b417a5b-5307-4ba5-81c1-6df72085e409 · outbound

This paper cites Data augmentation: A comprehen- sive survey of modern approaches,.

Text Reinforcement for Multimodal Time Series Forecasting Data augmentation: A comprehen- sive survey of modern approaches,

Reference 33

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Observation 37f9b0a0-57a1-4adf-8aed-f88cac45efab · outbound

This paper cites Data augmentation can improve robustness,.

Text Reinforcement for Multimodal Time Series Forecasting Data augmentation can improve robustness,

Reference 34

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Observation 37482d17-abd3-4388-b5d9-cab4cae8841b · outbound

This paper cites A Survey of Data Augmentation Approaches for NLP.

Text Reinforcement for Multimodal Time Series Forecasting A Survey of Data Augmentation Approaches for NLP

Reference 35

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Observation 7be867e4-3fe0-4ce3-97b5-b199393aadf1 · outbound

This paper cites Time-series data augmentation based on interpolation,.

Text Reinforcement for Multimodal Time Series Forecasting Time-series data augmentation based on interpolation,

Reference 36

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Observation c2d4882a-1b52-4593-9d2b-0596be63d717 · outbound

This paper cites A comprehensive survey on data augmenta- tion,.

Text Reinforcement for Multimodal Time Series Forecasting A comprehensive survey on data augmenta- tion,

Reference 37

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This paper cites Exploring generative data augmentation in multivariate time series forecasting: opportunities and challenges,.

Text Reinforcement for Multimodal Time Series Forecasting Exploring generative data augmentation in multivariate time series forecasting: opportunities and challenges,

Reference 38

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Observation 48565b25-eeb4-4e8a-be3f-10e6fb800cb7 · outbound

This paper cites Timecap: Learning to contextualize, augment, and predict time series events with large language model agents,.

Text Reinforcement for Multimodal Time Series Forecasting Timecap: Learning to contextualize, augment, and predict time series events with large language model agents,

Reference 39

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Observation fb025d23-a2df-43cc-a06b-1dec14e5df11 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model,.

Text Reinforcement for Multimodal Time Series Forecasting Direct preference optimization: Your language model is secretly a reward model,

Reference 40

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This paper cites Stock movement prediction from tweets and historical prices,.

Text Reinforcement for Multimodal Time Series Forecasting Stock movement prediction from tweets and historical prices,

Reference 41

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Observation d2e4439f-f005-42cf-94c5-0877acd869f5 · outbound

This paper cites From news to fore- cast: Integrating event analysis in llm-based time series forecasting with reflection,.

Text Reinforcement for Multimodal Time Series Forecasting From news to fore- cast: Integrating event analysis in llm-based time series forecasting with reflection,

Reference 42

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Observation 61af5ba3-934a-4d11-bcf9-808f6b7f0616 · outbound

This paper cites Timecma: Towards llm-empowered multivariate time series forecasting via cross-modality alignment,.

Text Reinforcement for Multimodal Time Series Forecasting Timecma: Towards llm-empowered multivariate time series forecasting via cross-modality alignment,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.724442Z

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Observation 2256f8a5-7a1a-450e-b339-ab5ba29a74e1 · outbound

This paper cites How Can Large Language Models Understand Spatial-Temporal Data?.

Text Reinforcement for Multimodal Time Series Forecasting How Can Large Language Models Understand Spatial-Temporal Data?

Reference 44

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Observation c9ad0808-d722-4222-bb6a-c09d6ec8b533 · outbound

This paper cites A multi-modal time series intelli- gent prediction model,.

Text Reinforcement for Multimodal Time Series Forecasting A multi-modal time series intelli- gent prediction model,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.715242Z

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Observation e9d97a52-0da6-48b5-9eb2-e6994477c79a · outbound

This paper cites Forecasting power demand in china with a cnn-lstm model including multimodal information,.

Text Reinforcement for Multimodal Time Series Forecasting Forecasting power demand in china with a cnn-lstm model including multimodal information,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.705949Z

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Observation 9fdbe16f-eadd-4891-b495-f8643b30cb8c · outbound

This paper cites Gpt4mts: Prompt- based large language model for multimodal time-series forecast- ing,.

Text Reinforcement for Multimodal Time Series Forecasting Gpt4mts: Prompt- based large language model for multimodal time-series forecast- ing,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.696771Z

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Observation a06f0bb3-535d-4213-8f62-0e71246931ef · outbound

This paper cites Unitime: A language-empowered unified model for cross- domain time series forecasting,.

Text Reinforcement for Multimodal Time Series Forecasting Unitime: A language-empowered unified model for cross- domain time series forecasting,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.687792Z

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Observation 5183ed67-c52f-4525-9df5-464f7016c9b7 · outbound

This paper cites Inspiration: A reinforcement learning-based human visual perception-driven image enhancement paradigm for underwater scenes,.

Text Reinforcement for Multimodal Time Series Forecasting Inspiration: A reinforcement learning-based human visual perception-driven image enhancement paradigm for underwater scenes,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.678882Z

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Observation 59670b74-304a-4673-a87a-dbffbd44b6d3 · outbound

This paper cites A review of research on reinforcement learning algorithms for multi-agents,.

Text Reinforcement for Multimodal Time Series Forecasting A review of research on reinforcement learning algorithms for multi-agents,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.669334Z

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Observation e4ef3203-0276-4e01-8c4f-7753ded70117 · outbound

This paper cites Deep reinforcement learning for robotics: A survey of real-world successes,.

Text Reinforcement for Multimodal Time Series Forecasting Deep reinforcement learning for robotics: A survey of real-world successes,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.660469Z

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Observation e21c569b-6112-4a73-9ef5-7e4d20f72a99 · outbound

This paper cites Learning multimodal contrast with cross-modal memory and reinforced contrast recognition,.

Text Reinforcement for Multimodal Time Series Forecasting Learning multimodal contrast with cross-modal memory and reinforced contrast recognition,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.651489Z

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Observation c8a22259-d9b6-464e-9c8f-5fd45baccf74 · outbound

This paper cites Training Language Models to Self-Correct via Reinforcement Learning.

Text Reinforcement for Multimodal Time Series Forecasting Training Language Models to Self-Correct via Reinforcement Learning

Reference 53

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Observation ba89bcbc-3e17-4771-8f62-469572078563 · outbound

This paper cites Graph-enabled reinforcement learning for time series forecasting with adaptive intelligence,.

Text Reinforcement for Multimodal Time Series Forecasting Graph-enabled reinforcement learning for time series forecasting with adaptive intelligence,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.641846Z

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Observation 0dcaa344-98b4-416a-a132-1264f8add6e9 · outbound

This paper cites LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization.

Text Reinforcement for Multimodal Time Series Forecasting LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:25:56.197690Z

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Observation dd544eec-a554-462a-8f72-12a83be3bac7 · outbound

This paper cites Reinforcement learning based dynamic model combination for time series forecasting,.

Text Reinforcement for Multimodal Time Series Forecasting Reinforcement learning based dynamic model combination for time series forecasting,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.632479Z

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Observation 4d54517e-92c9-4895-a5e3-224c5922c433 · outbound

This paper cites Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting.

Text Reinforcement for Multimodal Time Series Forecasting Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:25:56.183609Z

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Observation 46b951ed-af98-4711-8dee-f13fc1bb3aa3 · outbound

This paper cites TimeHF: Billion-Scale Time Series Models Guided by Human Feedback.

Text Reinforcement for Multimodal Time Series Forecasting TimeHF: Billion-Scale Time Series Models Guided by Human Feedback

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:25:56.169831Z

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Observation 1974c8e2-9216-4824-b6ab-7e7a6fe65245 · outbound

This paper cites Synthetic data augmentation for deep reinforcement learning in financial trading,.

Text Reinforcement for Multimodal Time Series Forecasting Synthetic data augmentation for deep reinforcement learning in financial trading,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.623152Z

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Observation 2ad49e4c-fef7-440c-935b-0cd4f7c7f137 · outbound

This paper cites ReAugment: Model Zoo-Guided RL for Few-Shot Time Series Augmentation and Forecasting.

Text Reinforcement for Multimodal Time Series Forecasting ReAugment: Model Zoo-Guided RL for Few-Shot Time Series Augmentation and Forecasting

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:55.864683Z

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Observation 99670e0a-729f-45c1-8bee-90a6392398a9 · outbound

This paper cites Data augmentation techniques in time series domain: a survey and taxonomy,.

Text Reinforcement for Multimodal Time Series Forecasting Data augmentation techniques in time series domain: a survey and taxonomy,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.613386Z

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Observation b2c61f15-b97c-459d-9935-a5e59b2ac4ee · outbound

This paper cites Time Series Data Augmentation for Deep Learning: A Survey.

Text Reinforcement for Multimodal Time Series Forecasting Time Series Data Augmentation for Deep Learning: A Survey

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:55.870221Z

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Observation 590428d2-e141-4031-8307-cf86e135b554 · outbound

This paper cites Data augmen- tation for time series classification using convolutional neural 12 networks,.

Text Reinforcement for Multimodal Time Series Forecasting Data augmen- tation for time series classification using convolutional neural 12 networks,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.604554Z

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Observation 6b374093-37a1-4624-a0f7-278a70730fcc · outbound

This paper cites Multi-Scale Convolutional Neural Networks for Time Series Classification.

Text Reinforcement for Multimodal Time Series Forecasting Multi-Scale Convolutional Neural Networks for Time Series Classification

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:55.876627Z

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Observation 6810fb3f-a1e3-4ba0-a2f8-6c2934e433ab · outbound

This paper cites Data augmentation using synthetic data for time series classification with deep residual networks.

Text Reinforcement for Multimodal Time Series Forecasting Data augmentation using synthetic data for time series classification with deep residual networks

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:25:56.128410Z

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Observation 8a9e365f-6706-4931-83fc-9976b3afae5f · outbound

This paper cites Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning.

Text Reinforcement for Multimodal Time Series Forecasting Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:25:56.114537Z

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Observation fa0e98db-2cb3-4bb2-bb5d-71165dc9e55c · outbound

This paper cites RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks.

Text Reinforcement for Multimodal Time Series Forecasting RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:55.886390Z

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Observation 91258b38-29ab-40e7-b6f5-7fb4d4fc3560 · outbound

This paper cites Feature representation and data augmentation for human activity classification based on wearable imu sensor data using a deep lstm neural network,.

Text Reinforcement for Multimodal Time Series Forecasting Feature representation and data augmentation for human activity classification based on wearable imu sensor data using a deep lstm neural network,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.595407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d4da8133-e2b0-4b16-b874-062b585b7e8c · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

Text Reinforcement for Multimodal Time Series Forecasting SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:55.892351Z

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Observation 32a0b2c3-ae08-4483-8096-2c8f30a12ea7 · outbound

This paper cites Generating synthetic time series to augment sparse datasets,.

Text Reinforcement for Multimodal Time Series Forecasting Generating synthetic time series to augment sparse datasets,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.586340Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d84061ce-0ae6-49a2-a3e6-4fcd592c8e93 · outbound

This paper cites Enhancing human activity recognition using deep learning and time series augmented data,.

Text Reinforcement for Multimodal Time Series Forecasting Enhancing human activity recognition using deep learning and time series augmented data,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.577088Z

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Observation 4cfc2d96-26a3-4122-b5b7-4d856fdc39e7 · outbound

This paper cites Intelligent random noise modeling by the improved variational autoencoding method and its applica- tion to data augmentation,.

Text Reinforcement for Multimodal Time Series Forecasting Intelligent random noise modeling by the improved variational autoencoding method and its applica- tion to data augmentation,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.568045Z

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Observation cd1c5ed4-0241-4355-8ef4-6541705be4ae · outbound

This paper cites Improving clas- sification accuracy using data augmentation on small data sets,.

Text Reinforcement for Multimodal Time Series Forecasting Improving clas- sification accuracy using data augmentation on small data sets,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.559267Z

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Observation f10a7f7c-e383-4704-9276-0932d180ff4a · outbound

This paper cites Using variational autoencoder to augment sparse time series datasets,.

Text Reinforcement for Multimodal Time Series Forecasting Using variational autoencoder to augment sparse time series datasets,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.550261Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5d90ac28-73eb-4233-9d13-7e5f6abdcb87 · outbound

This paper cites Deep convolutional generative adversarial networks for traffic data imputation encod- ing time series as images,.

Text Reinforcement for Multimodal Time Series Forecasting Deep convolutional generative adversarial networks for traffic data imputation encod- ing time series as images,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.540507Z

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Observation 5fcdd701-9fd0-46b3-b0e2-904cfbb138b9 · outbound

This paper cites Are language models actually useful for time series forecasting?.

Text Reinforcement for Multimodal Time Series Forecasting Are language models actually useful for time series forecasting?

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.530559Z

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Observation b4b5b492-239d-48ee-adae-82094d881d0f · outbound

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

Text Reinforcement for Multimodal Time Series Forecasting Chronos: Learning the Language of Time Series

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:55.915459Z

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Observation e1200415-3704-4dbb-af7a-4d5947939b0d · outbound

This paper cites Non-stationary transform- ers: Exploring the stationarity in time series forecasting,.

Text Reinforcement for Multimodal Time Series Forecasting Non-stationary transform- ers: Exploring the stationarity in time series forecasting,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.519718Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a0b67e04-d70a-4269-bd76-ca41d951f09d · outbound

This paper cites Crossformer: Transformer utilizing cross- dimension dependency for multivariate time series forecasting,.

Text Reinforcement for Multimodal Time Series Forecasting Crossformer: Transformer utilizing cross- dimension dependency for multivariate time series forecasting,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.509904Z

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Observation cd9289f5-d709-4be7-ab49-932932b03dad · outbound

This paper cites Glove: Global vec- tors for word representation,.

Text Reinforcement for Multimodal Time Series Forecasting Glove: Global vec- tors for word representation,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.499696Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 627f91b2-1b56-479c-bca8-0c7b54da072a · outbound

This paper cites Complementary Learning of Word Em- beddings,.

Text Reinforcement for Multimodal Time Series Forecasting Complementary Learning of Word Em- beddings,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.488486Z

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Observation b029433c-fa36-496e-ac28-7a2f762502ab · outbound

This paper cites hyperdoc2vec: Distributed Representations of Hypertext Documents.

Text Reinforcement for Multimodal Time Series Forecasting hyperdoc2vec: Distributed Representations of Hypertext Documents

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:25:56.070342Z

Source-reported events for the cited work

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Observation d945fff7-9925-4d10-ae08-fb00b748274c · outbound

This paper cites Lan- guage models are few-shot learners,.

Text Reinforcement for Multimodal Time Series Forecasting Lan- guage models are few-shot learners,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.478138Z

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Observation 3b3ae23d-92ea-47c4-8dcd-e4b5c9249aa6 · outbound

This paper cites The llama 3 herd of models,.

Text Reinforcement for Multimodal Time Series Forecasting The llama 3 herd of models,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.467749Z

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Observation e9445e1a-7a13-471f-880f-82a96403c31f · outbound

This paper cites Qwen3 Technical Report.

Text Reinforcement for Multimodal Time Series Forecasting Qwen3 Technical Report

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:55.939483Z

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Observation abd3819a-42cf-47c1-9f59-68da351d4ef3 · outbound

This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

Text Reinforcement for Multimodal Time Series Forecasting Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:55.942744Z

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Observation 45a94f5f-f10a-4d6b-b3b4-5a355f2c0281 · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

Text Reinforcement for Multimodal Time Series Forecasting Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:55.945716Z

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Observation 225c2f6c-f505-4e5a-9873-04aa179b927e · outbound

This paper cites Balanced Training Data Augmentation for Aspect-Based Sentiment Analysis.

Text Reinforcement for Multimodal Time Series Forecasting Balanced Training Data Augmentation for Aspect-Based Sentiment Analysis

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:25:56.026228Z

Source-reported events for the cited work

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Observation 33f8d30f-ac0d-444c-8d88-00cb4ac4091c · outbound

This paper cites Large Language Models Enhanced by Plug and Play Syntactic Knowledge for Aspect-based Sentiment Analysis.

Text Reinforcement for Multimodal Time Series Forecasting Large Language Models Enhanced by Plug and Play Syntactic Knowledge for Aspect-based Sentiment Analysis

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:25:56.010572Z

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Observation 51baa859-97fd-43d2-be85-5a4335a2323a · outbound

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

Text Reinforcement for Multimodal Time Series Forecasting A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:55.956082Z

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Observation 10952bda-d500-4eb0-b9c0-c896825434bf · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Text Reinforcement for Multimodal Time Series Forecasting Lora: Low-rank adaptation of large language models

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.457871Z

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Observation c7ef347c-1372-4d27-9a41-8ea0ed079b93 · outbound

This paper cites Are transformers effective for time series forecasting?.

Text Reinforcement for Multimodal Time Series Forecasting Are transformers effective for time series forecasting?

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:56.447646Z

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