Paper Citation Record · LEDGER

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion

As of 19 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 2 inbound Pith citation observations for arXiv:2505.11306.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.11306 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

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measured 58 of 58 standing notices

One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:58:55.357249Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T15:58:58.973641Z

Reference resolution

56 of 56 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 162a7204-0f19-4e1d-badd-5e37d59d0122 · outbound

This paper cites Multivariate financial time-series prediction with certified robustness.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Multivariate financial time-series prediction with certified robustness

Reference 1

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Observation caad6199-7d8b-4028-b6ae-7a831dab9213 · outbound

This paper cites Spreckelsen.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Spreckelsen

Reference 2

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Observation 7b24ddbc-d61c-48aa-88bd-0743cc7ec211 · outbound

This paper cites Traffic flow prediction with big data: A deep learning approach.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Traffic flow prediction with big data: A deep learning approach

Reference 3

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Observation 2c390517-ab07-45ea-a0f0-07bbd1825073 · outbound

This paper cites Hybrid spatio-temporal graph convolutional network: Improving traffic prediction with navigation data.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Hybrid spatio-temporal graph convolutional network: Improving traffic prediction with navigation data

Reference 4

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Observation 6bbe09f4-6494-46e8-a94e-d6ec54bf3a37 · outbound

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

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting

Reference 5

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Observation f7ce1fdd-97eb-42b5-85df-8a5517e47214 · outbound

This paper cites Are transformers effective for time series forecasting? In Proceedings of the AAAI conference on artificial intelligence, 2023.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Are transformers effective for time series forecasting? In Proceedings of the AAAI conference on artificial intelligence, 2023

Reference 6

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Observation 9085f509-8363-4821-bb7f-ab8391d57275 · outbound

This paper cites itransformer: Inverted transformers are effective for time series forecasting.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion itransformer: Inverted transformers are effective for time series forecasting

Reference 7

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Observation c57764c8-4a68-46b1-a54e-39d847d9134f · outbound

This paper cites Scaling rectified flow trans- formers for high-resolution image synthesis.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Scaling rectified flow trans- formers for high-resolution image synthesis

Reference 8

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Observation 2c926437-0c3d-4709-8199-e29e2bbe77de · outbound

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

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion High- resolution image synthesis with latent diffusion models

Reference 9

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Observation a84c8c5b-33b5-4d1e-8578-28abcd281342 · outbound

This paper cites Scalable diffusion models with transformers.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Scalable diffusion models with transformers

Reference 10

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Observation 24cb3bd2-60e9-426e-9cc3-a2c0cebd0082 · outbound

This paper cites Visionllama: A unified llama backbone for vision tasks.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Visionllama: A unified llama backbone for vision tasks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:57.253599Z

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Observation c518fe7e-0af2-4dff-9f4e-fe4bbccf9407 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 12

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Observation 68638231-75d4-4129-b47d-976feaf9546a · outbound

This paper cites Flux-text: A simple and advanced diffusion transformer baseline for scene text editing.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Flux-text: A simple and advanced diffusion transformer baseline for scene text editing

Reference 13

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Observation 22a7860c-8430-4d87-b7dc-44f6eebb9bfc · outbound

This paper cites Zero-shot text-to-image generation.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Zero-shot text-to-image generation

Reference 14

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Observation be5580e8-bbeb-4de2-be5a-45927d731e49 · outbound

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Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Unresolved cited work

Reference 15

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Observation 0c186524-2e2d-4b84-bbc2-9294c4108528 · outbound

This paper cites USP: Unified Self-Supervised Pretraining for Image Generation and Understanding.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion USP: Unified Self-Supervised Pretraining for Image Generation and Understanding

Reference 16

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Observation 4dd7c87f-d64a-4721-91fd-4f33ff892f5e · outbound

This paper cites TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Mod- els.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Mod- els

Reference 17

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Observation 5bbadecc-d90c-4feb-ab39-4e9717cf2232 · outbound

This paper cites MotionPro: A Precise Motion Controller for Image-to-Video Generation.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion MotionPro: A Precise Motion Controller for Image-to-Video Generation

Reference 18

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Observation a6289902-d3cd-4053-8aea-05c69fe4e7a3 · outbound

This paper cites Open-Sora: Democratizing Efficient Video Production for All.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Open-Sora: Democratizing Efficient Video Production for All

Reference 19

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Observation b1c60466-1bce-4003-895f-f6177b6f9643 · outbound

This paper cites Lumiere: A space-time diffusion model for video generation.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Lumiere: A space-time diffusion model for video generation

Reference 20

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This paper cites Animate anyone: Consistent and controllable image-to-video synthesis for character animation.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Animate anyone: Consistent and controllable image-to-video synthesis for character animation

Reference 21

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Observation 4959e75e-4706-4497-96e9-7af65fcd547c · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 22

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Observation e328e25d-f11a-4dde-8ad0-56eb08fe6c7e · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 23

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Observation 8bb8b2f0-04ec-4910-9161-ebd14c506795 · outbound

This paper cites Open-Sora Plan: Open-Source Large Video Generation Model.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Open-Sora Plan: Open-Source Large Video Generation Model

Reference 24

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Observation 67abbb58-8879-40fc-91db-11430afd9d10 · outbound

This paper cites MG-TSD: multi-granularity time series diffusion models with guided learning process.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion MG-TSD: multi-granularity time series diffusion models with guided learning process

Reference 25

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Observation b1e7d0fa-1d74-448d-96f5-bd13226070bd · outbound

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

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Csdi: Conditional score-based diffusion models for probabilistic time series imputation

Reference 26

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Observation 34f9dfb0-8ae2-4701-9bf8-38d74cd13c89 · outbound

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Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Unresolved cited work

Reference 27

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Observation 62582583-f058-423a-a4d6-dcd104a0fd29 · outbound

This paper cites Series-to-Series Diffusion Bridge Model.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Series-to-Series Diffusion Bridge Model

Reference 28

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Observation 6b24c0aa-8108-44f4-b256-2ed4b1e93e60 · outbound

This paper cites Diffusion-ts: Interpretable diffusion for general time series genera- tion.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Diffusion-ts: Interpretable diffusion for general time series genera- tion

Reference 29

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Observation 7fd9bda7-960f-42a8-bfae-582079d34281 · outbound

This paper cites Non-stationary transformers: Exploring the stationarity in time series forecasting.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Non-stationary transformers: Exploring the stationarity in time series forecasting

Reference 30

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Observation 58de1426-62ad-40c0-9050-c29f28d8d81c · outbound

This paper cites Frequency adaptive normalization for non-stationary time series forecasting.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Frequency adaptive normalization for non-stationary time series forecasting

Reference 31

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Observation d4dd4dcf-8b38-4c6e-b35d-3d344182b5d5 · outbound

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

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Transformer- modulated diffusion models for probabilistic multivariate time series forecasting

Reference 32

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Observation 477b66e0-65bf-4eed-9e5c-9a7de1430859 · outbound

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

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Diffusion-based decoupled deterministic and uncertain framework for probabilistic multivariate time series forecasting

Reference 33

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Observation 20c6d749-4d65-48fd-83a2-47ca175e1c00 · outbound

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

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Autoregressive denois- ing diffusion models for multivariate probabilistic time series forecasting

Reference 34

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Observation 2b70465f-793d-4666-ad06-733cd09da8f3 · outbound

This paper cites Denoising diffusion probabilistic models.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Denoising diffusion probabilistic models

Reference 35

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Observation d64258a1-1a5b-4bab-9cdd-7fe2f07a7170 · outbound

This paper cites CARD: classification and regression diffusion models.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion CARD: classification and regression diffusion models

Reference 36

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Observation 283c6a24-4f91-4454-a7b0-a964f2364aff · outbound

This paper cites A survey of uncertainty in deep neural networks.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion A survey of uncertainty in deep neural networks

Reference 37

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Observation ee2134f4-9efe-4df4-b290-c37f6eb0474a · outbound

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

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Non-autoregressive conditional diffusion models for time series prediction

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:56.944666Z

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Observation 0f34700a-14d5-451d-936c-f226fbfc1380 · outbound

This paper cites Denoising diffusion implicit models.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Denoising diffusion implicit models

Reference 39

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This paper cites Attention is all you need.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Attention is all you need

Reference 40

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This paper cites Autoregressive image generation without vector quantization.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Autoregressive image generation without vector quantization

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:56.906959Z

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Observation f7bfd450-2061-433f-aa46-154788fd558f · outbound

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

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 42

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Observation ece85cc9-7a50-4db8-b4a0-a5f5d6df8f9b · outbound

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

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:56.879979Z

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Observation 9bc40ec3-e1d6-4ebd-8ef0-57d016caca90 · outbound

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

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Timesnet: Temporal 2d-variation modeling for general time series analysis

Reference 44

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Observation 949cf1b4-5cfb-4225-a8e3-53f89e696e57 · outbound

This paper cites Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam

Reference 45

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Observation 34c1b577-fb92-426e-936b-b32a25b8ad0b · outbound

This paper cites Diffusion-based time series imputation and forecasting with structured state space models.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Diffusion-based time series imputation and forecasting with structured state space models

Reference 46

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Observation 3c78cf6e-09d8-49c7-b92b-3ce0c2166b34 · outbound

This paper cites Kingma and Max Welling.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Kingma and Max Welling

Reference 47

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Observation a4b3aa1a-1a82-446d-812f-cd2ed7f598b9 · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision? In Advances in Neural Information Processing Systems, 2017.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion What uncertainties do we need in bayesian deep learning for computer vision? In Advances in Neural Information Processing Systems, 2017

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:56.820498Z

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Observation 18756aaf-134a-4f65-9234-844edfb56f64 · outbound

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

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Modeling long- and short-term temporal patterns with deep neural networks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:56.802154Z

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Observation 30a0adb6-fa83-4c08-b152-6bf5c1dfe586 · outbound

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

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:56.784840Z

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Observation f59c43bc-5137-44fa-90b8-2aa4a89e2a25 · outbound

This paper cites Matheson and Robert L.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Matheson and Robert L

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:56.767811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f2e6ebf0-bb5d-4945-9b9a-8e5ea1fc3b38 · outbound

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

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Strictly proper scoring rules, prediction, and estimation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:56.751314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 87e190dd-13e0-4830-b5d7-9b7e168a9525 · outbound

This paper cites Quality of Uncertainty Quantification for Bayesian Neural Network Inference.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Quality of Uncertainty Quantification for Bayesian Neural Network Inference

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:56.361075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11a44a0a-37a2-4746-9999-0c85f24fb286 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Pytorch: An imperative style, high-performance deep learning library

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:56.733580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 89565e34-d813-428e-a4b0-5e4fe85f94ce · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion Adam: A Method for Stochastic Optimization

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:56.371598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a63236d8-e20b-4125-a555-4deb4a4bb1b7 · outbound

This paper cites 6 Traffic [44] collates hourly road occupancy rates measured by 862 sensors on San Francisco Bay Area freeways between January 2015 and December 2016.

Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion 6 Traffic [44] collates hourly road occupancy rates measured by 862 sensors on San Francisco Bay Area freeways between January 2015 and December 2016

Reference 56

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T20:58:56.515248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 06bcd396-9d3a-40a5-bb65-8fca5ce04666 · inbound

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

Diffusion Models for Time Series Forecasting: A Survey Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:58:59.047381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting cites this paper.

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

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:44.428428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.