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Paper Citation Record · LEDGER

Diffusion Models for Time Series Forecasting: A Survey

As of 8 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 2026-08-08T06:32:00.761636+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

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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

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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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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

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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

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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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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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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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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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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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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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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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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

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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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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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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

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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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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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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

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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

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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

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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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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

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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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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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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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Observation 1d847a46-a863-4455-a9eb-b58147ea0e12 · outbound

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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Unavailable: canonical work link unavailable.

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Observation de5bb0fc-3792-4885-a52f-eb871d5c7814 · outbound

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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raw_fallback, observed 2026-08-06T15:59:09.510043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:48.505370Z digest=sha256:3a23906878a7c55897ee601ed96c198e88f558e01c72595f15fcffa031a9eb4a

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

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raw_fallback, observed 2026-08-06T15:59:09.340955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:48.602090Z digest=sha256:d8efa636bf4a9bb682dab44b23c9ccadff99273da11a938889149c3fd5b2dfca

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

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

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

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-06T15:59:09.177848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:48.754100Z digest=sha256:df1dcd5fe406b31a154a0ed941e4febfd8eb834a7afa3609d0c6834a9af5928d

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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raw_fallback, observed 2026-08-06T15:59:09.023188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:48.936725Z digest=sha256:6e7b91fa41b67e70d5c91472b0aab19138d45f1d49967fdc36d16719d210f80c

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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no resolver link, observed 2026-08-06T15:58:49.034548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:58:49.034548Z digest=sha256:3ebfe094d1fdf08c799d11b19216f91aa126e2fa8439145d5ab5d209e72b0397

Observation cbebd374-a0c8-4684-b42e-20ee6bdb5776 · outbound

This paper cites Auto-Encoding Variational Bayes.

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

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:58:49.119013Z digest=sha256:6a5fe2d09f5e22e2b968c8bfefd22e3fa32e17d4f838113c76117f73ad4059a4

Observation 89df1d4e-8f8c-45f4-bcec-0a99a80131b7 · outbound

This paper cites Stochastic backprop- agation and approximate inference in deep generative models,.

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

Reference 47

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:49.230535Z digest=sha256:82f2168f8c2bf3ce8a9c7ee3cece7568abbc1f254ae02554011df2793964cc99

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

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raw_fallback, observed 2026-08-06T15:59:08.593420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:49.327445Z digest=sha256:be5192ce5aa2c2daeb2e87ce090ceeb27a503f1907a68a3eea3480d3dbaaf038

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

This paper cites Generative adversar- ial nets,.

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:49.455163Z digest=sha256:818712f1ab3de35ae6654e91b1c3cdf6f6edbceedacdf0d093cd656b056717b0

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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source=pdf_text observed=2026-08-06T15:58:49.559732Z digest=sha256:e29eacdc338493920e6e236e195638a05c32183f69ee3f66d94fc9ac1db3773a

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:49.652684Z digest=sha256:a7f2b5e9ebd5092463efe84ea5d50138821cce124a0f27dbbf22921502d38743

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

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raw_fallback, observed 2026-08-06T15:59:07.849310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:49.752468Z digest=sha256:50f1cbc16ea3a200b2a1b260f140cff569fa04fd6b9e2c3dfd51f22bbdcad264

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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source=pdf_text observed=2026-08-06T15:58:49.863169Z digest=sha256:bb7a9e7a8e3fbe71392c5422730beb011c9fc11fc5151e334946b1d406d278d5

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:58:49.967480Z digest=sha256:cd6064d0ac3700d063b5ba4b0e9555a03f133c3282016ada81aad6a5731a952c

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:58:50.066362Z digest=sha256:99eaf54a9e7419a72ccf7f268443b118861700400cdcb149d7b929b1fc608629

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

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

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

Reference 56

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source=pdf_text observed=2026-08-06T15:58:50.200032Z digest=sha256:a491cbbadf489d96290413418e763f1da2ee1a8b811d8067a8b1998f0cdbeca3

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:50.298482Z digest=sha256:967db07e58adb9d326c1eae8c60bc5169b2c749fb41efa3cff4f5c0ccef7da30

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

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raw_fallback, observed 2026-08-06T15:59:07.206803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:50.391068Z digest=sha256:5e2912ba21ab102d8a15deafc3fa02e8489aa652567f981caeb35aa65dafa6b0

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

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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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:50.633608Z digest=sha256:d7c053e3360fa19ce93d9bb6cfd4877fc5fcd87b90e32a6b06e19458a2d07ea4

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:50.710400Z digest=sha256:98c56d9f08a11473eb99aedbac3b4f844288d9082c52b5614a5003ad2ccbfe5f

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:50.808795Z digest=sha256:655c40ed71a98b0d7caa84894d2bc4f2b523f5ef0ac35e77f5c653cae96c67bb

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:50.881664Z digest=sha256:7d0cb79e1a5acd3d1087c0ac629f442329a2b43ae260971499b6aed19f2c88d1

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:58:50.956221Z digest=sha256:f077d150555c7e61551d8924bcdb9509de867076f7fed6b909c7c9c6bb9af92c

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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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source=pdf_text observed=2026-08-06T15:58:51.121400Z digest=sha256:f19484bb934ce5225560c040e68d05f37853975d7ba0de2870f0f1fd76c9979c

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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:51.320021Z digest=sha256:8583b336d99dd1b29e262259538220c54aa35a3dd3ca36b30b3c9d7d6e491fe6

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:51.444340Z digest=sha256:aaee95e20c8acedff9f6213efaa856beccdbbb4b780ee7a67655f658f67b26cd

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:51.513458Z digest=sha256:18ba05a5eaf917378c5f04b4b97ecdb3f76289b3ea71c2e47a8fff13580a42a2

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
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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:51.612355Z digest=sha256:000d49504bba5ea5d8976804e26fe273d5e491e27d7967d9bc3af98dfb72c303

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:58:51.712611Z digest=sha256:ef8489732e4cc3e94032b26f0200d592dcb63d22dec77bd236c5545a826c9839

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:58:51.935543Z digest=sha256:d1957b6cd52194f0b64f9d3529eb794a87ff59dd0ffa1df8dd1cded046f04498

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:52.102934Z digest=sha256:195323c4b874b57919ddc9562c7c0100c7c5f9af1e2ccf3415012fa3b9bc795a

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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source=pdf_text observed=2026-08-06T15:58:52.465569Z digest=sha256:d05f84c8dfc97d2d6acab46e3e6b1710eab35d53835f2773e56126ed767c5952

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

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source=pdf_text observed=2026-08-06T15:58:52.690487Z digest=sha256:35bece31299f6684d773025655f11130d630d719d97883b5eec0184f7587c1f0

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:58:52.900538Z digest=sha256:fdef38abfcd39acfe79b4b04f61dac52c26cfd7955a730926b274fa9c69b2812

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:58:53.059546Z digest=sha256:abb6862a043bc38df9dbc5d08601f8f98c32e6eeec7bf5c6f929aeb967c5e117

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:53.228495Z digest=sha256:58d69fba883fd53835ac830c0bf6fe00044202c14ea280690d9a52080f226651

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:53.394430Z digest=sha256:f0700bbbcec4c08c39b9a35bec4778ff99a11a29a2d985a91c179caaa2ba7ed5

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:58:53.624525Z digest=sha256:57879aba2213788659f0566d338d5251858474f64ccd1084eaf444b7030b5384

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:53.804499Z digest=sha256:38bec1759b0e68d53bbd8273c6d19355235da39948b8a04f36f5401b71642ed7

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:53.973416Z digest=sha256:fe9be885094b3451f3acb23636ac19cb65f17dac8878a09881d0f307c276c328

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:54.132363Z digest=sha256:920204860bd6b42bd889c3166d46a87a37b49201bd50ab89fef9a372accca7c8

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:54.305372Z digest=sha256:5307c4a1bcff87c20413b45e0a1a91fda6f6f2dfca59eb37f01d095e858fce8e

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:54.469202Z digest=sha256:60a152de0bcbc90ef06e80d33487ed2e3a83307e9d98761cadc4b8e5199c2cda

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:54.729159Z digest=sha256:38a2139ce81ae70c89e118aa0d77fd47ab10666b6ecce308dcba37c1b15b46b2

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:54.953135Z digest=sha256:45febaec5e25668cc56926f7eff49531226f5ebc4f084e6f84d02ec013a31516

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:55.148434Z digest=sha256:1a9f778c2f2fa86a45f93f37bf1eb1466aa4ad95fc9cc1e3763d2197e8e0cb94

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:55.357249Z digest=sha256:7b3de15378a06397744a1a7893a684c50f8b97afceae9fcad9180aa2653ec170

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:58:55.601186Z digest=sha256:f1b2473e4eda950b37379bc30734aa2ec7e4391b5f9bea32a85e537257350a06

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

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source=pdf_text observed=2026-08-06T15:58:55.794200Z digest=sha256:03926fc7e8786e484fda9494f967de6bd97c3000532656de190bb14d05e08f35

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

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source=pdf_text observed=2026-08-06T15:58:55.930862Z digest=sha256:77d24670ee5a3e7bea2cb4aafdd7721bed474188fe0396190c053934488e2a18

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:56.086430Z digest=sha256:008bbb2d30ac4df409016f569eaaaf87dcf101f8a310a6e5b60e250b70264b40

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

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source=pdf_text observed=2026-08-06T15:58:56.313712Z digest=sha256:dca9af9dfe40d9121930e4f68c4de33e9f961b3e6fea7f1d07214c726f770e79

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:56.474576Z digest=sha256:68caf582a66a6a188e1e6e547a6c572c0608b4de2c58376a59a90ddc13adba2c

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:56.658097Z digest=sha256:89af005517daf443a2a9b50659c73047c38bff809fcaaf84e4bd86a22d64fae7

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:56.844551Z digest=sha256:56ce6ea3b6bd83de70b9a7725a1588e4e1acdf7f86e02805414a415ec5b8492e

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:58:57.106443Z digest=sha256:4aada6e8228d6bf80f57bf309745c217b363b7d6eee4ab351d1ad511d5d6bdd9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:25:55.740238Z digest=sha256:d8a55e1719139a1433a248153fdea359adb93e991fb999c59c630f7456ca2b6a

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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:59:16.518012Z digest=sha256:3d20b17147563334a14b2b8af808f8e81a4509acd2cfd31caa92c3e9d0a05963

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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-03T13:43:07.756716Z digest=sha256:4f4091d3426a1020bc4344d1813155387b54488d50ae6fbef1bf49e412f03517

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:35:49.701061Z digest=sha256:cce188a471ec315182e15027956777810fb2d9f0bcf98df746b6ffaf11b39cd7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:33:44.554655Z digest=sha256:31c177ad33097ec62d5ee179092d6ae997a1835e3daa2e4ac4901fc5c78652ab