Paper Citation Record · LEDGER

Diffusion Models for Time Series Forecasting: A Survey

As of 19 August 2026, this Paper Citation Record lists 100 of 110 outbound references and 9 inbound Pith citation observations for arXiv:2507.14507.

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

pith.paper-citation-record.v1
2507.14507 v2

Coverage vector

measured 100 of 110 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:58:57.106443Z

measured 109 of 109 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:25:55.740238Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:39:38.682007Z

Reference resolution

100 of 110 outbound references displayed

verified exact8
verified fuzzy30
unresolved62
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c3c50dc-989f-4a0d-9d9d-3f9f5303d3ff · outbound

This paper cites Probabilistic electric load forecasting: A tutorial review,.

Diffusion Models for Time Series Forecasting: A Survey Probabilistic electric load forecasting: A tutorial review,

Reference 1

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Observation 6fe867ff-524b-4dbd-beaf-9ece49de50d4 · outbound

This paper cites Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders,.

Diffusion Models for Time Series Forecasting: A Survey Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders,

Reference 2

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Observation ff5975f6-ecf0-48cb-9c6e-71cf3cb26171 · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Forecasting energy demand in china and india: Using single-linear, hybrid-linear, and non-linear time series forecast techniques,

Reference 3

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Observation a9cd9a89-d56c-437f-ad4b-3620e4ed0984 · outbound

This paper cites Short-term traffic flow fore- casting: An experimental comparison of time-series analysis and supervised learning,.

Diffusion Models for Time Series Forecasting: A Survey Short-term traffic flow fore- casting: An experimental comparison of time-series analysis and supervised learning,

Reference 4

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Observation f1c9f716-ac35-4855-b1fa-52f48207d84c · outbound

This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

Diffusion Models for Time Series Forecasting: A Survey Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 5

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Observation 910fac6b-ea67-41de-b157-075658b149d3 · outbound

This paper cites Traffic flow forecast through time series analysis based on deep learning,.

Diffusion Models for Time Series Forecasting: A Survey Traffic flow forecast through time series analysis based on deep learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:44.258848Z

Source-reported events for the cited work

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Observation dea03b18-84d2-426c-a684-3204fdc03523 · outbound

This paper cites Statistical pattern recognition for structural health monitoring using time series modeling: Theory and experimental verifications,.

Diffusion Models for Time Series Forecasting: A Survey Statistical pattern recognition for structural health monitoring using time series modeling: Theory and experimental verifications,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:44.322354Z

Source-reported events for the cited work

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Observation 87aaf517-2f53-4999-a3f5-41501e207de9 · outbound

This paper cites Statistical time series methods for structural health monitoring,.

Diffusion Models for Time Series Forecasting: A Survey Statistical time series methods for structural health monitoring,

Reference 8

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Source-reported events for the cited work

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Observation 5f9b5b3c-9e7e-427a-9bf3-80fd993968b3 · outbound

This paper cites Predicting blood glucose with an lstm and bi-lstm based deep neural network,.

Diffusion Models for Time Series Forecasting: A Survey Predicting blood glucose with an lstm and bi-lstm based deep neural network,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:44.492765Z

Source-reported events for the cited work

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Observation e620dd4b-a6bb-4b5e-8d6e-7e3e930526fa · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Autoformer: Decomposition transformers with auto-correlation for long-term series forecast- ing,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:44.572353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1a5589d-9b8b-4496-8e29-961f265951a7 · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting,

Reference 11

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Source-reported events for the cited work

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Observation 6b1400bc-dd9b-49ac-9a9d-3f481470f3c6 · outbound

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

Diffusion Models for Time Series Forecasting: A Survey A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 12

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Observation 81a11e33-5465-45ee-bf00-b0331f6d9788 · outbound

This paper cites Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version.

Diffusion Models for Time Series Forecasting: A Survey Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version

Reference 13

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Source-reported events for the cited work

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Observation 904caeff-9334-456b-8e52-17471f050d9f · outbound

This paper cites Multivariate time series prediction based on temporal change information learning method,.

Diffusion Models for Time Series Forecasting: A Survey Multivariate time series prediction based on temporal change information learning method,

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e3beacc-e79d-40ba-9542-c5d38e1907c4 · outbound

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

Diffusion Models for Time Series Forecasting: A Survey iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 15

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Source-reported events for the cited work

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Observation 31b43bcc-661e-44da-a46f-091eba586365 · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

Diffusion Models for Time Series Forecasting: A Survey Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 16

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Observation a8b9dbd7-8825-4c26-9d2e-10d425d9ac43 · outbound

This paper cites Spatio- temporal graph structure learning for traffic forecasting,.

Diffusion Models for Time Series Forecasting: A Survey Spatio- temporal graph structure learning for traffic forecasting,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55b2d7d7-7661-49f2-9479-b560e3466f6f · outbound

This paper cites Spectral temporal graph neural network for multivariate time-series forecasting,.

Diffusion Models for Time Series Forecasting: A Survey Spectral temporal graph neural network for multivariate time-series forecasting,

Reference 18

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Source-reported events for the cited work

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Observation dcd418a7-8eaa-4017-99b7-6e61e19e234f · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53dacb0e-4b34-4df5-a163-667bf37792e2 · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Chattime: A unified multimodal time series foundation model bridging numerical and textual data,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:45.952448Z

Source-reported events for the cited work

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Observation 0d9b4a7a-f47a-4fa7-bb86-feef2bb99b15 · outbound

This paper cites Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting.

Diffusion Models for Time Series Forecasting: A Survey Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 21

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Source-reported events for the cited work

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Observation ae91a57d-dbcd-40ab-b1cb-ff23c03018fd · outbound

This paper cites an unresolved cited work.

Diffusion Models for Time Series Forecasting: A Survey Unresolved cited work

Reference 22

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Source-reported events for the cited work

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Observation be410aae-8502-479b-ab7d-0b6121fde050 · outbound

This paper cites Arima models,.

Diffusion Models for Time Series Forecasting: A Survey Arima models,

Reference 23

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Observation ac17bb6e-12a0-41fa-891c-dcb3f2929ccf · outbound

This paper cites Exponential smoothing: The state of the art,.

Diffusion Models for Time Series Forecasting: A Survey Exponential smoothing: The state of the art,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:46.529436Z

Source-reported events for the cited work

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Observation dfa95086-86d8-48f9-bc23-fa99f7a18604 · outbound

This paper cites Hyndman, A.

Diffusion Models for Time Series Forecasting: A Survey Hyndman, A

Reference 25

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Source-reported events for the cited work

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Observation d70c349e-3280-48dd-aa02-a5a116d8a67b · outbound

This paper cites Forecasting time series with complex seasonal patterns using exponential smoothing,.

Diffusion Models for Time Series Forecasting: A Survey Forecasting time series with complex seasonal patterns using exponential smoothing,

Reference 26

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Source-reported events for the cited work

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Observation c4459dc3-7c97-48e6-9f5d-aa18c0522605 · outbound

This paper cites Recurrent neural networks and robust time series prediction,.

Diffusion Models for Time Series Forecasting: A Survey Recurrent neural networks and robust time series prediction,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:46.780941Z

Source-reported events for the cited work

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Observation 1944a345-e857-4e26-a7a9-096f5620a1c2 · outbound

This paper cites A rnn based time series approach for forecasting turkish electricity load,.

Diffusion Models for Time Series Forecasting: A Survey A rnn based time series approach for forecasting turkish electricity load,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:46.886732Z

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Observation 7bb93b97-de6b-4a4a-bc11-8b58c9719e11 · outbound

This paper cites Recurrent neural networks for time series forecasting: Current status and future directions,.

Diffusion Models for Time Series Forecasting: A Survey Recurrent neural networks for time series forecasting: Current status and future directions,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:47.030646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16fec88f-d764-4a1b-8107-e515d7a721ac · outbound

This paper cites Multivariate time series forecasting using multiscale recurrent networks with scale attention and cross-scale guidance,.

Diffusion Models for Time Series Forecasting: A Survey Multivariate time series forecasting using multiscale recurrent networks with scale attention and cross-scale guidance,

Reference 30

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Source-reported events for the cited work

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Observation 6266edc5-80f5-4021-a6cb-fc08abeabb00 · outbound

This paper cites Conditional Time Series Forecasting with Convolutional Neural Networks.

Diffusion Models for Time Series Forecasting: A Survey Conditional Time Series Forecasting with Convolutional Neural Networks

Reference 31

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Observation f8b8f1a2-173a-4b28-87ae-1ce4b35db1dd · outbound

This paper cites A cnn–lstm model for gold price time-series forecasting,.

Diffusion Models for Time Series Forecasting: A Survey A cnn–lstm model for gold price time-series forecasting,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:47.386514Z

Source-reported events for the cited work

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Observation d09634e7-1be6-4b2a-852c-e3bc1bc2cff1 · outbound

This paper cites Analysis and forecasting of financial time series using cnn and lstm-based deep learning models,.

Diffusion Models for Time Series Forecasting: A Survey Analysis and forecasting of financial time series using cnn and lstm-based deep learning models,

Reference 33

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Source-reported events for the cited work

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Observation ed1d73c8-dd03-481a-b849-c52181f015fc · outbound

This paper cites Ctfnet: Long-sequence time-series forecasting based on convolution and time–frequency analysis,.

Diffusion Models for Time Series Forecasting: A Survey Ctfnet: Long-sequence time-series forecasting based on convolution and time–frequency analysis,

Reference 34

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Observation fcb52a79-f688-4c6e-99e2-4878cdaebc1d · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting,

Reference 35

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Observation 6fdca84f-81d9-4bb1-ad35-96855ceda072 · outbound

This paper cites Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case.

Diffusion Models for Time Series Forecasting: A Survey Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 36

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Observation 66d84b9e-71e7-4a72-8c75-ac04869da518 · outbound

This paper cites Wavelet trans- former: An effective method on multiple periodic decomposition for time series forecasting,.

Diffusion Models for Time Series Forecasting: A Survey Wavelet trans- former: An effective method on multiple periodic decomposition for time series forecasting,

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a38db45-f39c-496f-b874-5ce54e6dcf46 · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Fusing Large Language Models with Temporal Transformers for Time Series Forecasting

Reference 38

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Observation 85d96623-f528-47f8-9930-752060d7575a · outbound

This paper cites Text reinforcement for multimodal time series forecasting,.

Diffusion Models for Time Series Forecasting: A Survey Text reinforcement for multimodal time series forecasting,

Reference 39

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This paper cites Large language models are zero-shot time series forecasters,.

Diffusion Models for Time Series Forecasting: A Survey Large language models are zero-shot time series forecasters,

Reference 40

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This paper cites Lag-llama: Towards foundation models for time series forecasting,.

Diffusion Models for Time Series Forecasting: A Survey Lag-llama: Towards foundation models for time series forecasting,

Reference 41

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Observation 0451cc82-9028-4ea3-8a17-34e26fd23e65 · outbound

This paper cites Forecastpfn: Synthetically-trained zero-shot forecasting,.

Diffusion Models for Time Series Forecasting: A Survey Forecastpfn: Synthetically-trained zero-shot forecasting,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:09.340955Z

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Observation 7f2f7bcd-ce01-4ea5-81b6-f32e5611d2b2 · outbound

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Diffusion Models for Time Series Forecasting: A Survey A decoder-only foundation model for time-series forecasting,

Reference 43

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Observation 312888ee-aaf1-4a68-85df-13a98c180daa · outbound

This paper cites Unified training of universal time series forecasting transformers,.

Diffusion Models for Time Series Forecasting: A Survey Unified training of universal time series forecasting transformers,

Reference 44

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Observation df6fc8f0-d787-4ce8-a00b-546b39f6ef47 · outbound

This paper cites Timer-XL: Long-Context Transformers for Unified Time Series Forecasting.

Diffusion Models for Time Series Forecasting: A Survey Timer-XL: Long-Context Transformers for Unified Time Series Forecasting

Reference 45

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Diffusion Models for Time Series Forecasting: A Survey Auto-Encoding Variational Bayes

Reference 46

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Diffusion Models for Time Series Forecasting: A Survey Stochastic backprop- agation and approximate inference in deep generative models,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:08.778930Z

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Observation 2184d471-3716-4561-8643-18c9284f3a81 · outbound

This paper cites Generative time series fore- casting with diffusion, denoise, and disentanglement,.

Diffusion Models for Time Series Forecasting: A Survey Generative time series fore- casting with diffusion, denoise, and disentanglement,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:08.593420Z

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Observation f8497531-0d51-48f5-841a-d4a99f8f1aee · outbound

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Diffusion Models for Time Series Forecasting: A Survey Generative adversar- ial nets,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:08.370372Z

Source-reported events for the cited work

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Observation 1655ba13-3023-46b1-bd9e-bd639e1ea1ac · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Diffusion Models for Time Series Forecasting: A Survey Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 50

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Source-reported events for the cited work

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Observation 9bad647c-df5f-40ee-8e2f-7c1a6db8ead2 · outbound

This paper cites If you like it, gan it—probabilistic multivariate times series forecast with gan,.

Diffusion Models for Time Series Forecasting: A Survey If you like it, gan it—probabilistic multivariate times series forecast with gan,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:08.134418Z

Source-reported events for the cited work

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Observation 11c07c98-4600-4f27-9837-81f7a53a977b · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermody- namics,.

Diffusion Models for Time Series Forecasting: A Survey Deep unsupervised learning using nonequilibrium thermody- namics,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:07.849310Z

Source-reported events for the cited work

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Observation 5fb5e692-10cb-4355-b8e8-3591649ad4b0 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution,.

Diffusion Models for Time Series Forecasting: A Survey Generative modeling by estimating gradients of the data distribution,

Reference 53

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Source-reported events for the cited work

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Observation 8cbe06f9-b1c8-421c-85cf-6cd0ed1172eb · outbound

This paper cites Denoising diffusion probabilistic models,.

Diffusion Models for Time Series Forecasting: A Survey Denoising diffusion probabilistic models,

Reference 54

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Observation f4133dc7-197d-4939-b7ff-1a520c2706c9 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Diffusion Models for Time Series Forecasting: A Survey Score-Based Generative Modeling through Stochastic Differential Equations

Reference 55

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Observation 5c4c4297-0401-4060-9f8c-6d5f5c6fdfaf · outbound

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Diffusion Models for Time Series Forecasting: A Survey Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 56

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Observation 152fa721-2424-42c6-bbb8-b0f5f8b782d5 · outbound

This paper cites Spa- gan: Spatial attention gan for image-to-image translation,.

Diffusion Models for Time Series Forecasting: A Survey Spa- gan: Spatial attention gan for image-to-image translation,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:07.503234Z

Source-reported events for the cited work

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

Observation 22a191e6-f339-402d-9c9a-00afcc73dbe2 · outbound

This paper cites Diffusion-lm improves controllable text generation,.

Diffusion Models for Time Series Forecasting: A Survey Diffusion-lm improves controllable text generation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:07.206803Z

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Observation c1a90ca5-8730-466f-96ed-44324b7d35cd · outbound

This paper cites AudioLDM: Text-to-Audio Generation with Latent Diffusion Models.

Diffusion Models for Time Series Forecasting: A Survey AudioLDM: Text-to-Audio Generation with Latent Diffusion Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:50.494374Z

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Observation fa8be887-d12c-4641-b84e-07184874c02a · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Diffusion networks with task-specific noise control for radiology report generation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:06.924975Z

Source-reported events for the cited work

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

Observation abea5b8d-30cc-4506-baf4-31a8f3d8d810 · outbound

This paper cites Aspect-based sentiment analysis with context denoising,.

Diffusion Models for Time Series Forecasting: A Survey Aspect-based sentiment analysis with context denoising,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:06.695190Z

Source-reported events for the cited work

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

Observation d4c46ae7-8f57-47ae-8df5-c5eacd86f80a · outbound

This paper cites Autoregressive denoising diffusion models for multivariate probabilistic time series forecasting,.

Diffusion Models for Time Series Forecasting: A Survey Autoregressive denoising diffusion models for multivariate probabilistic time series forecasting,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:06.509667Z

Source-reported events for the cited work

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

Observation 2e78f69a-db24-432e-bda9-f84d50ad49ef · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Csdi: Conditional score- based diffusion models for probabilistic time series imputation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:06.341591Z

Source-reported events for the cited work

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

Observation 8e25af9b-9294-4cce-ad37-f002eebaec42 · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:50.956221Z

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Observation 4301520c-6808-41b3-ad0e-9534e05f96c0 · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Predict, refine, synthesize: Self- guiding diffusion models for probabilistic time series forecasting,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:06.134086Z

Source-reported events for the cited work

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

Observation 12af7f40-25ef-41c9-ba1c-156d2c572e52 · outbound

This paper cites Diffusion-TS: Interpretable Diffusion for General Time Series Generation.

Diffusion Models for Time Series Forecasting: A Survey Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:51.121400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21ae45b9-e2cc-418c-8c0e-053e3eaadb55 · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Retrieval-augmented diffusion models for time series forecasting,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:05.917862Z

Source-reported events for the cited work

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

Observation 0a2a4acd-1036-4cb6-aee5-ce4c7fbc244d · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Multi-resolution diffusion models for time series forecasting,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:05.705520Z

Source-reported events for the cited work

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

Observation 4f9b1a37-e65f-4344-be72-468bad78f934 · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Diffusion- based decoupled deterministic and uncertain framework for probabilistic multivariate time series forecasting,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:05.395686Z

Source-reported events for the cited work

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

Observation dc1aaaf5-2da9-40c1-a5a4-b90ca906a9ea · outbound

This paper cites Deep learning for time- series prediction in iiot: progress, challenges, and prospects,.

Diffusion Models for Time Series Forecasting: A Survey Deep learning for time- series prediction in iiot: progress, challenges, and prospects,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:05.227424Z

Source-reported events for the cited work

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

Observation aceff33c-e72f-47ea-b3e2-2b8f12ce1db1 · outbound

This paper cites Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting.

Diffusion Models for Time Series Forecasting: A Survey Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:59:01.222373Z

Source-reported events for the cited work

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

Observation 1dc49350-9feb-4741-b1a4-b408a40968c2 · outbound

This paper cites A systematic literature review of spatio-temporal graph neural network models for time series forecasting and classification,.

Diffusion Models for Time Series Forecasting: A Survey A systematic literature review of spatio-temporal graph neural network models for time series forecasting and classification,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:51.712611Z

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Unavailable: canonical work link unavailable.

Observation d67736b7-f55a-46af-b530-ff3c56e49f74 · outbound

This paper cites Positional Encoding in Transformer-Based Time Series Models: A Survey.

Diffusion Models for Time Series Forecasting: A Survey Positional Encoding in Transformer-Based Time Series Models: A Survey

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:51.935543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44bdd2bd-6bb4-47ca-90d5-1b4516131637 · outbound

This paper cites Diffusion models for time- series applications: a survey,.

Diffusion Models for Time Series Forecasting: A Survey Diffusion models for time- series applications: a survey,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:05.066592Z

Source-reported events for the cited work

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

Observation 2748aace-27ac-42bc-a7ec-681a4732a280 · outbound

This paper cites The Rise of Diffusion Models in Time-Series Forecasting.

Diffusion Models for Time Series Forecasting: A Survey The Rise of Diffusion Models in Time-Series Forecasting

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:52.271177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e7b195e-623b-43c2-9b9b-2de598fdd4dc · outbound

This paper cites A survey on diffusion models for time series and spatio-temporal data,.

Diffusion Models for Time Series Forecasting: A Survey A survey on diffusion models for time series and spatio-temporal data,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:52.465569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 681b83f3-7ecc-43d3-824b-7eee5eaa44a9 · outbound

This paper cites Denoising Diffusion Implicit Models.

Diffusion Models for Time Series Forecasting: A Survey Denoising Diffusion Implicit Models

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:52.690487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65cfd2ac-50f5-4c5b-a133-d708759f650d · outbound

This paper cites Diffusion models beat gans on image synthesis,.

Diffusion Models for Time Series Forecasting: A Survey Diffusion models beat gans on image synthesis,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:52.900538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 724d0de0-dac4-4701-aea4-48e9a9d4d693 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Diffusion Models for Time Series Forecasting: A Survey Classifier-Free Diffusion Guidance

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:53.059546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da729ddc-f96b-48f4-ad39-3889954b9b0d · outbound

This paper cites Latent diffusion transformer for probabilistic time series forecasting,.

Diffusion Models for Time Series Forecasting: A Survey Latent diffusion transformer for probabilistic time series forecasting,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:04.847794Z

Source-reported events for the cited work

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

Observation 3a986514-e538-4ac6-be16-3cfe3e726b79 · outbound

This paper cites Auto-regressive moving diffusion models for time series forecasting,.

Diffusion Models for Time Series Forecasting: A Survey Auto-regressive moving diffusion models for time series forecasting,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:04.672177Z

Source-reported events for the cited work

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

Observation 823bcf12-af79-42b8-b64d-67b088f7c784 · outbound

This paper cites Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.

Diffusion Models for Time Series Forecasting: A Survey Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:53.624525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ce5ae6e-5689-44b5-a007-7425e661d526 · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:04.505404Z

Source-reported events for the cited work

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

Observation 1af5d2f7-64da-4266-bc0c-231d4e584356 · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Non-autoregressive conditional diffusion models for time series prediction,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:04.239469Z

Source-reported events for the cited work

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

Observation 69c913c2-a752-46b7-851e-d78a38a6e640 · outbound

This paper cites Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series.

Diffusion Models for Time Series Forecasting: A Survey Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series

Reference 85

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:59:00.796551Z

Source-reported events for the cited work

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

Observation 215c830b-b5b9-4635-a48f-0dabaaae2188 · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Stochastic diffusion: A diffusion probabilistic model for stochastic time series forecasting,

Reference 86

Resolution: verified exact; raw_fallback, observed 2026-08-06T15:59:00.592235Z

Source-reported events for the cited work

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

Observation eda4541c-48a9-402f-958b-fd258d40e4ac · outbound

This paper cites Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting.

Diffusion Models for Time Series Forecasting: A Survey Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting

Reference 87

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:59:00.277844Z

Source-reported events for the cited work

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

Observation 0b669c15-d4f0-4f4d-b4f2-0f47594bd12a · outbound

This paper cites MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process.

Diffusion Models for Time Series Forecasting: A Survey MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:58:59.881290Z

Source-reported events for the cited work

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

Observation baa69d86-777e-45c3-8876-d4ad96f7c780 · outbound

This paper cites Fdf: Flexi- ble decoupled framework for time series forecasting with con- ditional denoising and polynomial modeling,.

Diffusion Models for Time Series Forecasting: A Survey Fdf: Flexi- ble decoupled framework for time series forecasting with con- ditional denoising and polynomial modeling,

Reference 89

Resolution: verified exact; raw_fallback, observed 2026-08-06T15:58:59.400999Z

Source-reported events for the cited work

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

Observation af9e486b-32e4-480f-af0b-0d2b932c513d · outbound

This paper cites Stl: A seasonal-trend decomposition,.

Diffusion Models for Time Series Forecasting: A Survey Stl: A seasonal-trend decomposition,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:03.929914Z

Source-reported events for the cited work

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

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

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

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 2026-08-19T06:32:44.657259+00:00.

Observation 2b7ad92c-62a1-48f3-8bcd-85c7bc436860 · outbound

This paper cites Multi-modal Time Series Analysis: A Tutorial and Survey.

Diffusion Models for Time Series Forecasting: A Survey Multi-modal Time Series Analysis: A Tutorial and Survey

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:55.601186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 309cd324-5ae2-4d61-9d52-4f76d06e7bd8 · outbound

This paper cites Vision-Enhanced Time Series Forecasting via Latent Diffusion Models.

Diffusion Models for Time Series Forecasting: A Survey Vision-Enhanced Time Series Forecasting via Latent Diffusion Models

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:55.794200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91f9af50-2f85-4a86-9d0f-4f6f0ed6a342 · outbound

This paper cites Multimodal Conditioned Diffusive Time Series Forecasting.

Diffusion Models for Time Series Forecasting: A Survey Multimodal Conditioned Diffusive Time Series Forecasting

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:55.930862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14dc5838-da19-4160-9b3b-8a193de0d947 · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Transformer- modulated diffusion models for probabilistic multivariate time series forecasting,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:03.748959Z

Source-reported events for the cited work

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

Observation 42aa6ced-6f8c-4819-b901-67d2ae2d0a02 · outbound

This paper cites Non-stationary Diffusion For Probabilistic Time Series Forecasting.

Diffusion Models for Time Series Forecasting: A Survey Non-stationary Diffusion For Probabilistic Time Series Forecasting

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:56.313712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2782d2f8-c10a-43b5-8e8f-485a257b032b · outbound

This paper cites Dyffusion: A dynamics-informed diffusion model for spatiotemporal forecast- ing,.

Diffusion Models for Time Series Forecasting: A Survey Dyffusion: A dynamics-informed diffusion model for spatiotemporal forecast- ing,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:03.589182Z

Source-reported events for the cited work

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

Observation 1a27fad0-5d88-4151-95b9-762d6dd3e686 · outbound

This paper cites Redi: Recurrent diffusion model for probabilistic time series forecast- ing,.

Diffusion Models for Time Series Forecasting: A Survey Redi: Recurrent diffusion model for probabilistic time series forecast- ing,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:03.421564Z

Source-reported events for the cited work

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

Observation 127e811c-c061-4a8d-ae0a-3e6cd23bb8bb · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Series-to-Series Diffusion Bridge Model

Reference 99

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:58:58.823292Z

Source-reported events for the cited work

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

Observation a2534df2-30e5-4d2d-b4cd-dca2ca5c9243 · outbound

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

Diffusion Models for Time Series Forecasting: A Survey Modeling long-and short-term temporal patterns with deep neural networks,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:59:03.147734Z

Source-reported events for the cited work

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

Pith citing papers

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

Text Reinforcement for Multimodal Time Series Forecasting cites this paper.

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

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:55.740238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19646cd7-2a14-4240-b1e7-f11583330e6b · inbound

EMFusion: Uncertainty-Aware Conditional Diffusion Model for Multivariate Narrow-band Exposure Forecasting cites this paper.

EMFusion: Uncertainty-Aware Conditional Diffusion Model for Multivariate Narrow-band Exposure Forecasting Diffusion Models for Time Series Forecasting: A Survey

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:40:26.594806Z

Source-reported events for the cited work

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

Observation 963fa62d-2ff8-4e19-9393-f88cd8a8fea6 · inbound

EMFusion: Uncertainty-Aware Conditional Diffusion Model for Multivariate Narrow-band Exposure Forecasting cites this paper.

EMFusion: Uncertainty-Aware Conditional Diffusion Model for Multivariate Narrow-band Exposure Forecasting Diffusion Models for Time Series Forecasting: A Survey

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T15:59:16.518012Z

Source-reported events for the cited work

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Observation 87e07332-5a6d-4d23-92c7-42f300804eea · inbound

Causal Diffusion Models for Counterfactual Outcome Distributions in Longitudinal Data cites this paper.

Causal Diffusion Models for Counterfactual Outcome Distributions in Longitudinal Data Diffusion Models for Time Series Forecasting: A Survey

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:05:29.127654Z

Source-reported events for the cited work

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

Observation 59d6e57f-7922-44a9-ace8-b230d387a9ac · inbound

Inverse Design for Conditional Distribution Matching cites this paper.

Inverse Design for Conditional Distribution Matching Diffusion Models for Time Series Forecasting: A Survey

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:56:29.807571Z

Source-reported events for the cited work

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

Observation 9a1160a8-7bbf-4452-90c8-dbf5223037dd · inbound

Diffusion-Driven State Space Models cites this paper.

Diffusion-Driven State Space Models Diffusion Models for Time Series Forecasting: A Survey

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:39:38.683828Z

Source-reported events for the cited work

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

Observation 591c2518-e545-498b-bb39-4a25e20ba622 · inbound

InduceKV: Fixed-Footprint Continual Adaptation of Multimodal LLMs via Inducing KV Memories cites this paper.

InduceKV: Fixed-Footprint Continual Adaptation of Multimodal LLMs via Inducing KV Memories Diffusion Models for Time Series Forecasting: A Survey

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T13:48:20.396428Z

Source-reported events for the cited work

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

Observation 2cdcc8ae-ac1d-41f8-9ef4-47c21b5b1403 · inbound

Text as Partial Constraint: Core-Residual Alignment for Robust Vision-Language Learning cites this paper.

Text as Partial Constraint: Core-Residual Alignment for Robust Vision-Language Learning Diffusion Models for Time Series Forecasting: A Survey

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-12T04:35:49.701061Z

Source-reported events for the cited work

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Observation c259f028-0c8a-4025-b915-a87e7a95eafd · 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 Diffusion Models for Time Series Forecasting: A Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:44.554655Z

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Unavailable: canonical work link unavailable.