Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting | Paper Citation Record

Observation 3ea544e2-bd69-45f3-8d04-268c3275f9ba · outbound

This paper cites Recent advances in electricity price forecasting: A review of probabilistic forecasting.Renewable and Sustainable Energy Reviews, 81:1548–1568, 2018.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Recent advances in electricity price forecasting: A review of probabilistic forecasting.Renewable and Sustainable Energy Reviews, 81:1548–1568, 2018

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Observation 3214e29e-09f3-4f15-8733-2bcf9345663a · outbound

This paper cites Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders.Energy, 165:709–726, 2018.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders.Energy, 165:709–726, 2018

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This paper cites Financial time series forecasting model based on ceemdan and lstm.Physica A: Statistical mechanics and its applications, 519:127–139, 2019.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Financial time series forecasting model based on ceemdan and lstm.Physica A: Statistical mechanics and its applications, 519:127–139, 2019

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This paper cites Financial time series forecasting-a machine learning approach.Machine Learning and Applications: An International Journal, 4(1/2):3, 2017.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Financial time series forecasting-a machine learning approach.Machine Learning and Applications: An International Journal, 4(1/2):3, 2017

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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: P.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Temporal convolutional neural (tcn) network for an effective weather forecasting using time-series data from the local weather station: P

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Observation f855a231-e7df-4587-870e-5e9458af2f41 · outbound

This paper cites Transductive lstm for time-series prediction: An application to weather forecasting.Neural Networks, 125:1–9, 2020.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Transductive lstm for time-series prediction: An application to weather forecasting.Neural Networks, 125:1–9, 2020

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Observation edfc1f00-e9f3-427f-94b7-96085d20373a · outbound

This paper cites Deep unsuper- vised learning using nonequilibrium thermodynamics.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Deep unsuper- vised learning using nonequilibrium thermodynamics

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Observation 34cab759-5ecd-4ac1-b6b0-dd95afc69a68 · outbound

This paper cites Denoising diffusion probabilistic models.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Denoising diffusion probabilistic models

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Observation 2ffbed39-c8c5-46b4-9b0b-3fe580211757 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Score-based generative modeling through stochastic differential equations

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Observation 9417e657-53f4-4c0c-821b-98743dfe828b · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting High- resolution image synthesis with latent diffusion models

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Observation 046676d1-b057-4581-a6b8-3b1e3e4eb17d · outbound

This paper cites Scalable diffusion models with transformers.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Scalable diffusion models with transformers

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Observation 7e7b9875-c4aa-4753-b0f9-54945236d1a8 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

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This paper cites iDesigner: A High-Resolution and Complex-Prompt Following Text-to-Image Diffusion Model for Interior Design.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting iDesigner: A High-Resolution and Complex-Prompt Following Text-to-Image Diffusion Model for Interior Design

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Observation 9ca676de-f955-441f-b39e-30725fb583ba · outbound

This paper cites Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support

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Observation 57182705-0954-4eb5-8235-9f3991113763 · outbound

This paper cites Diffusion-based decoupled deterministic and uncertain framework for probabilistic multivariate time series forecasting.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Diffusion-based decoupled deterministic and uncertain framework for probabilistic multivariate time series forecasting

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Observation 2c0358e0-ce1f-46a7-b4ea-32717362b3aa · outbound

This paper cites Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion

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Observation c259f028-0c8a-4025-b915-a87e7a95eafd · outbound

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

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Diffusion Models for Time Series Forecasting: A Survey

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Observation ab2f6a3b-1545-4079-8553-c51ea718dff0 · outbound

This paper cites Conditional denois- ing meets polynomial modeling: A flexible decoupled framework for time series forecasting.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Conditional denois- ing meets polynomial modeling: A flexible decoupled framework for time series forecasting

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Observation 045c90a5-56df-486b-821d-69d0239fc8bf · outbound

This paper cites Transformer- modulated diffusion models for probabilistic multivariate time series forecasting.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Transformer- modulated diffusion models for probabilistic multivariate time series forecasting

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Observation 27273324-6cec-4545-901f-2da3b39ff39c · outbound

This paper cites Diffusion networks with task-specific noise control for radiology report generation.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Diffusion networks with task-specific noise control for radiology report generation

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Observation 5e7e15eb-1b70-4c8b-bebb-0d84308dc4de · outbound

This paper cites Conditional diffusion model with nonlinear data transformation for time series forecasting.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Conditional diffusion model with nonlinear data transformation for time series forecasting

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Observation 315f2922-15ee-4588-ba18-a441083cc0be · outbound

This paper cites Non-stationary diffusion for probabilistic time series forecasting.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Non-stationary diffusion for probabilistic time series forecasting

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Observation 6d94d6f8-a8e7-49af-b6f0-89b9e929b9a3 · outbound

This paper cites A non-isotropic time series diffusion model with moving average transitions.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting A non-isotropic time series diffusion model with moving average transitions

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Observation 03a52efd-a4da-485b-9253-fb41101c7f00 · outbound

This paper cites Autoregressive denois- ing diffusion models for multivariate probabilistic time series forecasting.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Autoregressive denois- ing diffusion models for multivariate probabilistic time series forecasting

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Observation 8be052f6-5586-43e1-95a6-3689c05d2b53 · outbound

This paper cites Stochastic diffusion: A diffusion based model for stochastic time series forecasting.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Stochastic diffusion: A diffusion based model for stochastic time series forecasting

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Observation 11834fc6-c98f-4b2d-9613-2a2f1aed0b02 · outbound

This paper cites Csdi: Conditional score-based diffusion models for probabilistic time series imputation.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Csdi: Conditional score-based diffusion models for probabilistic time series imputation

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Observation 168b9ef5-7321-4491-9910-613172973c5e · outbound

This paper cites Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models

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Observation 3f0d3fbc-b1cd-44c7-8287-0925c5fd70b6 · outbound

This paper cites Non-autoregressive conditional diffusion models for time series prediction.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Non-autoregressive conditional diffusion models for time series prediction

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Observation 09c5195e-154f-4fa1-a2e1-c9da17485a70 · outbound

This paper cites Predict, refine, synthesize: Self-guiding diffusion models for probabilistic time series forecasting.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Predict, refine, synthesize: Self-guiding diffusion models for probabilistic time series forecasting

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Observation 1382d85d-4bb3-45cb-ba4d-61b161a42992 · outbound

This paper cites Multimodal Conditioned Diffusive Time Series Forecasting.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Multimodal Conditioned Diffusive Time Series Forecasting

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Observation 1d0d5dad-80e7-4a87-84f3-0633e08be385 · outbound

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

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Fusing Large Language Models with Temporal Transformers for Time Series Forecasting

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Observation 27cb9968-3534-474e-98ae-387338412d18 · outbound

This paper cites Multi-resolution diffusion models for time series forecasting.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Multi-resolution diffusion models for time series forecasting

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Observation 67aa981c-b13a-49fc-b2e5-e317924c1172 · outbound

This paper cites Mg-tsd: Multi-granularity time series diffusion models with guided learning process.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Mg-tsd: Multi-granularity time series diffusion models with guided learning process

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Observation 7c4028b6-53fc-4013-ab2f-9e2dcd9d9fb8 · outbound

This paper cites Text Reinforcement for Multimodal Time Series Forecasting.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Text Reinforcement for Multimodal Time Series Forecasting

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Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Diffusion-ts: Interpretable diffusion for general time series genera- tion

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Observation a0238a89-d48f-4a64-85e8-4e09db007d51 · outbound

This paper cites Generative time series forecasting with diffusion, denoise, and disentanglement.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Generative time series forecasting with diffusion, denoise, and disentanglement

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Observation 2cadfe15-430a-43a4-a2b6-333aa1e0a0a5 · outbound

This paper cites Retrieval-augmented diffusion models for time series forecasting.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Retrieval-augmented diffusion models for time series forecasting

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This paper cites Retrieval- augmented diffusion models.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Retrieval- augmented diffusion models

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Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Retrieval Based Time Series Forecasting

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Observation 4e22abbc-e2d7-4a38-af04-eb49b711daf5 · outbound

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Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Learning transferable visual models from natural language supervision

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Observation 98e7b5d3-dc0a-4512-ab9e-63d217ef6a50 · outbound

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Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35: 23716–23736, 2022

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This paper cites Reinforced context augmentation for multimodal emotion analysis.IEEE Transactions on Multimedia, 2026.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Reinforced context augmentation for multimodal emotion analysis.IEEE Transactions on Multimedia, 2026

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Observation bf5f6852-8827-4f3e-8c87-aed516786202 · outbound

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Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Learning Shared Sentiment Prototypes for Adaptive Multimodal Sentiment Analysis

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Observation fcd9bb13-19a4-4327-913e-e1ebb61ff1db · outbound

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Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting A time series is worth 64 words: Long-term forecasting with transformers

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Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting itransformer: Inverted transformers are effective for time series forecasting

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Observation 7dd19863-d8a3-43e1-ac38-4e803728c8a9 · outbound

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Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Timesnet: Temporal 2d-variation modeling for general time series analysis

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Observation 15568fb4-3575-4814-aef1-3eb4bf19cc91 · outbound

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Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting N-beats: Neural basis expansion analysis for interpretable time series forecasting

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Observation 88c5d486-4c0a-4d03-93d8-e692b7e5e514 · outbound

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Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Non-stationary transformers: Exploring the stationarity in time series forecasting

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Observation e829093d-6b4e-4bd6-9064-151ccedc0906 · outbound

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Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting

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Observation 0ec4c6fd-de9b-49cf-a409-0be8c8f33877 · outbound

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Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting

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Observation cc5e3754-fa1f-4866-967c-78cdabd5fe34 · outbound

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

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting

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Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Blurring diffusion models

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Observation a5192812-47af-4857-8b02-f527a6fe6867 · outbound

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Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Generative modelling with inverse heat dissipation

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Observation b79e3355-dcc4-4471-a33c-0f289e70921e · outbound

This paper cites Improving radiology report generation with multi-grained abnormality prediction.Neurocomputing, 600:128122, 2024.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Improving radiology report generation with multi-grained abnormality prediction.Neurocomputing, 600:128122, 2024

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Observation ebe8a159-22e6-4b02-be91-84bd3b57054a · outbound

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Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Soft Diffusion: Score Matching for General Corruptions

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Observation cb72cffc-1312-4a42-a6df-331abab1dcc7 · outbound

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Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Cold diffusion: Inverting arbitrary image transforms without noise

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Observation b9c54eff-9400-4b4a-a17d-04f277aaeae0 · outbound

This paper cites Whitened score diffusion: A structured prior for imaging inverse problems.arXiv preprint arXiv:2505.10311, 2025.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Whitened score diffusion: A structured prior for imaging inverse problems.arXiv preprint arXiv:2505.10311, 2025

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:50.033730Z

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Observation 128b4d54-6062-41b0-8a3d-788177a84689 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Improved denoising diffusion probabilistic models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:50.183436Z

Source-reported events for the cited work

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Observation f14fe0d3-c548-4582-a0bc-e15388dab5de · outbound

This paper cites Denoising diffusion implicit models.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Denoising diffusion implicit models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:50.547247Z

Source-reported events for the cited work

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Observation 289ac037-b8c9-477b-9a67-10e305af122a · outbound

This paper cites Reversible instance normalization for accurate time-series forecasting against distribution shift.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Reversible instance normalization for accurate time-series forecasting against distribution shift

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:54.526890Z

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Unavailable: canonical work link unavailable.

Observation 5bce728c-bb26-4bd1-b409-2b03362bd6df · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:55.624591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 941c7c8b-dd87-4c2a-834b-7f0613c4bb1e · outbound

This paper cites Modeling long-and short-term temporal patterns with deep neural networks.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Modeling long-and short-term temporal patterns with deep neural networks

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:55.915498Z

Source-reported events for the cited work

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Observation d53f6cd6-d5ae-424d-a7c0-90a18523267f · outbound

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

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:56.077643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd9b58d0-4254-4e19-871d-c1d414ac8cdd · outbound

This paper cites Strictly proper scoring rules, prediction, and estimation.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Strictly proper scoring rules, prediction, and estimation

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:56.192051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33529f73-e658-4a59-83f7-5063e06a0042 · outbound

This paper cites Adam: A method for stochastic optimization.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Adam: A method for stochastic optimization

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:56.337831Z

Source-reported events for the cited work

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Observation 3c70a6f2-1a11-4202-81a8-23fc4c982190 · outbound

This paper cites Attention is all you need.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Attention is all you need

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:56.452828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fef9b9c8-c6c9-496b-9427-4303580c734d · outbound

This paper cites Statistical comparisons of classifiers over multiple data sets.Journal of Machine learning research, 7(Jan):1–30, 2006.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Statistical comparisons of classifiers over multiple data sets.Journal of Machine learning research, 7(Jan):1–30, 2006

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:56.587217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4307a2d-a8e8-41b7-857c-5317b61b2de2 · outbound

This paper cites Temporal Query Network for Efficient Multivariate Time Series Forecasting.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Temporal Query Network for Efficient Multivariate Time Series Forecasting

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:56.701263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3279cb5-7d4e-41e6-99d4-b5618f151c03 · outbound

This paper cites Times2d: Multi-period decom- position and derivative mapping for general time series forecasting.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Times2d: Multi-period decom- position and derivative mapping for general time series forecasting

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:56.835793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ab483af-6b9b-48b0-a44f-de5e45deda73 · outbound

This paper cites Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:56.982834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7d027f5-360a-419e-8c0e-43cd31749229 · outbound

This paper cites an unresolved cited work.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Unresolved cited work

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:57.083819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b9eedec-5e42-4a1a-87d1-d7a3f8bee82b · outbound

This paper cites an unresolved cited work.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:57.149478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ad06d26-fd94-4509-9714-ecddafda3052 · outbound

This paper cites 19 Proof.Items (1) and (2) follow directly from Corollary 1.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting 19 Proof.Items (1) and (2) follow directly from Corollary 1

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:57.215283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1594eb4a-a0aa-4cd7-af7b-225745a91d0d · outbound

This paper cites an unresolved cited work.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Unresolved cited work

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:57.332248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82eb1b9c-2060-4f29-9239-a34d7bedf1e8 · outbound

This paper cites boundary anchoring.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting boundary anchoring

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:57.420530Z

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