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Paper Citation Record · LEDGER

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting

As of 6 August 2026, this Paper Citation Record lists 100 of 177 outbound references and 0 inbound Pith citation observations for arXiv:2606.10592.

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

pith.paper-citation-record.v1
2606.10592 v1

Coverage vector

measured 100 of 177 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T14:07:11.942435Z

measured 100 of 100 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 177 outbound references displayed

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External citation measurements

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Outbound references

Observation f7645bb3-715b-45a8-b1b8-517fb8701091 · outbound

This paper cites Scaling Learning Algorithms Towards.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Scaling Learning Algorithms Towards

Reference 1

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Observation 38ed23aa-4988-4c1e-9f96-c4c0336a9f05 · outbound

This paper cites and Osindero, Simon and Teh, Yee Whye , journal =.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting and Osindero, Simon and Teh, Yee Whye , journal =

Reference 2

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Observation 57752562-a56a-474b-997b-ce3a25232a6b · outbound

This paper cites 2016 , publisher=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2016 , publisher=

Reference 3

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Observation dddf60c0-797e-4550-8362-c0b21a73c60b · outbound

This paper cites 2022 , eprint=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2022 , eprint=

Reference 4

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Observation c852836f-9abd-4ffc-835a-48e81bc46435 · outbound

This paper cites Energies , volume=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Energies , volume=

Reference 5

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Observation 01ec7f07-c5c5-4a7d-a7ea-d04563b70b50 · outbound

This paper cites 2012 , publisher=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2012 , publisher=

Reference 6

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This paper cites an unresolved cited work.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Unresolved cited work

Reference 7

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Observation f4341b8f-5ab0-4814-979a-343a9e5a60eb · outbound

This paper cites 1956 , publisher=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 1956 , publisher=

Reference 8

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Observation 98dc65ed-df82-4ae2-af0f-858c871a3e64 · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems , volume=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting IEEE Transactions on Intelligent Transportation Systems , volume=

Reference 9

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Observation af1b7c47-9c4e-430a-aa99-125b4738d75e · outbound

This paper cites Journal of Electrical Systems and Information Technology , year=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Journal of Electrical Systems and Information Technology , year=

Reference 10

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Observation 9fe16c43-714b-4fa2-9270-fb5659a1e704 · outbound

This paper cites and Adewumi, Adewumi O.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting and Adewumi, Adewumi O

Reference 11

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Observation a24fe667-d044-46e5-acc5-80918e78945b · outbound

This paper cites De Gruyter , year=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting De Gruyter , year=

Reference 12

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Observation 92a9ee2a-cf1f-40c6-a926-684ce3239f8a · outbound

This paper cites 2020 , url=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2020 , url=

Reference 13

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Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2023 , url=

Reference 14

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Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 1986 , publisher=

Reference 15

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Observation 878128b5-bc01-49fe-a7a0-d98f2c86cb19 · outbound

This paper cites 2000 , publisher=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2000 , publisher=

Reference 16

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Observation fc4f73df-bfac-4e46-8065-9f5b3d95724b · outbound

This paper cites Advances in neural information processing systems , volume=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Advances in neural information processing systems , volume=

Reference 17

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Observation 7ca9038c-8a1f-4644-86d8-ef76b8cc4296 · outbound

This paper cites 2024 , eprint=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2024 , eprint=

Reference 18

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Observation ac9f0f07-195b-4c6b-82cc-9b1446a58d0a · outbound

This paper cites 2018 , eprint=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2018 , eprint=

Reference 19

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Observation 9f6e5d5a-45cf-4f03-bcc8-4946e6794aae · outbound

This paper cites Recurrent Neural Networks for Time Series Forecasting: Current status and future directions , volume=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Recurrent Neural Networks for Time Series Forecasting: Current status and future directions , volume=

Reference 20

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Observation dfeee136-c67f-4aff-8f26-212f9bdbb30a · outbound

This paper cites 2023 , eprint=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2023 , eprint=

Reference 21

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Observation 21a034a2-d006-45b0-9d78-ee7ad3ef888d · outbound

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Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2023 , eprint=

Reference 22

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Observation 987e6ccc-ec51-4c35-b50d-7f066e39ce3b · outbound

This paper cites Chiarot, C.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Chiarot, C

Reference 23

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Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2023 , eprint=

Reference 24

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Observation 0a865190-a65e-46dc-8e96-3c62ca455769 · outbound

This paper cites Long-Term Time Series Forecasting With Multilinear Trend Fuzzy Information Granules for LSTM in a Periodic Framework , year=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Long-Term Time Series Forecasting With Multilinear Trend Fuzzy Information Granules for LSTM in a Periodic Framework , year=

Reference 25

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This paper cites IEEE Transactions on Fuzzy Systems , volume=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting IEEE Transactions on Fuzzy Systems , volume=

Reference 26

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Observation 560c6b47-6bbe-420c-a7a0-cf5b077485de · outbound

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Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting IEEE Transactions on Fuzzy Systems , year=

Reference 27

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Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting IEEE Transactions on Fuzzy Systems , volume=

Reference 28

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Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting IEEE Transactions on Fuzzy Systems , year=

Reference 29

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Observation 9dbe1d0a-c4b4-4a92-9def-9fca24cf1057 · outbound

This paper cites IEEE transactions on fuzzy systems , volume=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting IEEE transactions on fuzzy systems , volume=

Reference 30

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Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2023 , eprint=

Reference 31

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Observation 51f2fe9d-a1b9-4c64-86a2-7a36f70dd19e · outbound

This paper cites Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks , volume=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks , volume=

Reference 32

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Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting ICLR , year=

Reference 33

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Observation 886fc81f-d826-4f04-a1a4-d35eda611a97 · outbound

This paper cites CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Reference 34

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arxiv_id, observed 2026-07-03T04:07:37.207428Z

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Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting International Conference on Learning Representations , year =

Reference 35

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Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting International Conference on Learning Representations , year=

Reference 36

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Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Autoformer: Decomposition Transformers with

Reference 37

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Observation 8e1afbd0-6c97-4dc1-8a2c-515f469ca81a · outbound

This paper cites Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Reference 38

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arxiv_id, observed 2026-07-03T04:07:37.202263Z

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Observation 264885ac-1c7f-4aa2-a740-bf1a35ada5db · outbound

This paper cites NeurIPS , year=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting NeurIPS , year=

Reference 39

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:f309928c8c886de33922a96b09c745e5026af9bd73fb778a7ee0ff3f8144b42a

Observation d5c26900-693b-495e-8407-f129daae5827 · outbound

This paper cites an unresolved cited work.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Unresolved cited work

Reference 40

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:d26db876e68d17202396e2f378439a15cc9090fbb3c9280e56e3e5400fbf9bd5

Observation 97503a63-1a46-410c-9a23-36dc0120b06e · outbound

This paper cites AAAI , year=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting AAAI , year=

Reference 41

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:99e0e6eab4472e763dd54304edf5907416c1faf21272be9f86b4c1e049f7391a

Observation 32c26ac1-dfed-4368-9c4b-87342deffcde · outbound

This paper cites NeurIPS , year=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting NeurIPS , year=

Reference 42

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:89726fee0c57d99861b4ad8b8cf5837a904db75befada51f4a242978c4f8fee2

Observation 90f4e4f6-23d9-45cb-a4e8-59026883cb9b · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Advances in Neural Information Processing Systems , volume=

Reference 43

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:fe9c2b5044f41dc0a1d984550edeee1a3f28c6dabe2d8b9f01c2a62a21c6e077

Observation 0b9c7ddf-55b4-4504-87da-8566c89ca54b · outbound

This paper cites Filter-enhanced MLP is All You Need for Sequential Recommendation , url=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Filter-enhanced MLP is All You Need for Sequential Recommendation , url=

Reference 44

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arxiv_id, observed 2026-06-27T14:10:57.995349Z

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:0aaf9db722bad023ad179c5aad0f7abda3df36c9561e00a98ad50333160a4a89

Observation 62380626-450a-4b25-bf88-051c2240019d · outbound

This paper cites 2022 , eprint=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2022 , eprint=

Reference 45

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:5e57397d8c08f9fe1e651dd76cea1a5c3719e4a997cd9ba3964727369378369d

Observation 52da46b1-cb7e-403e-82fc-15f0a96b76c3 · outbound

This paper cites 2020 , eprint=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2020 , eprint=

Reference 46

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:71448bf8d5f8f2a6106c4ddc2fc8cf66b3413edbacbd9361afea2d69d68251a2

Observation 08de07a1-f958-4373-91de-be0ee4f8791a · outbound

This paper cites 2021 , eprint=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2021 , eprint=

Reference 47

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:9678563b7e710ff90391361bf3ce1786fc2397808aeeec3bb4f9152c91a10159

Observation 067ccad3-7a0e-4112-bbd6-f308823aba90 · outbound

This paper cites NeurIPS , year=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting NeurIPS , year=

Reference 48

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:d8b42af4c0d3ad62d0494832ca0db3e3ebc2397c58c89e89d91659834e545fbf

Observation 07f7dc7f-ae60-4e50-b056-93050f142751 · outbound

This paper cites Kingma and Jimmy Ba , title =.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Kingma and Jimmy Ba , title =

Reference 49

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:f3b71b6c2bf6dc8e167403088fafac0553a140c1f9464cb39423e55bdf41a609

Observation a6f6435d-648b-40c2-aae3-6b4d84364c8f · outbound

This paper cites Long-term Forecasting with TiDE: Time-series Dense Encoder.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 50

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arxiv_id, observed 2026-07-03T04:07:37.204995Z

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:b4c7a893ccd2fb20b94d9d3ea6ff4600ec97390156818a4491a4548d37978cb7

Observation 818c2761-3a95-4f8b-8323-d73811b3bd8a · outbound

This paper cites NeurIPS , year=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting NeurIPS , year=

Reference 51

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:752a3a3a13fc669b468e5bb7f8751fba78a7e0ae470dbd2dd6512c9c78a4d80b

Observation e03eafe2-1b6c-43dc-8a0d-223168199bb1 · outbound

This paper cites Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors

Reference 52

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arxiv_id, observed 2026-07-03T04:07:37.199555Z

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:b300a6bd10a7db7d592868b68af3be8594f3e5444542e541d34a17b7233753fa

Observation c70862d0-f5cf-4181-89d6-8e750a8367dd · outbound

This paper cites , author=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting , author=

Reference 53

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:ca2539a96c6de1ddec59eb347b83cf14dac87bf46ccc232299e24b71a331925c

Observation 247a3d60-d868-4781-9507-a35e4b1be26e · outbound

This paper cites and Schafer, Ronald W.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting and Schafer, Ronald W

Reference 54

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:fd5d316e294c801ea52c7f31c13f12043c152dfaa6e9da813547854570ce1f40

Observation 1971fb16-b5ac-4ac6-b104-f8f58062f750 · outbound

This paper cites , title =.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting , title =

Reference 55

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:6b9c9f3275b7300d02381d7f36a2edd065207de7f048f822ea3a8d20eaa6e969

Observation da5d24f7-c7c7-474a-aacb-a211263ef19f · outbound

This paper cites an unresolved cited work.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Unresolved cited work

Reference 56

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:865e6bb7a3837e1b6debb25313d26b7fee2d7d8fd269d17e851daff51730ec06

Observation 20860300-1b42-4c06-b683-b6f6358b261f · outbound

This paper cites an unresolved cited work.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Unresolved cited work

Reference 57

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:3d3b557b94c720f653f7571c1ed15f2be49b84803d0ee8f457f2597b15e8cb4c

Observation 32dffca1-ed38-45f2-a052-c6c1b91c03d3 · outbound

This paper cites Signals and.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Signals and

Reference 58

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:3b9ed31214f3a5eff05045a64210a7965f56d9141f4c13c277c862fbac8167d5

Observation ce7603ce-edf7-42c9-8d16-7307a2fe897c · outbound

This paper cites 2020 , publisher=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2020 , publisher=

Reference 59

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:f9b75acce081a58c875107de3b9c23594b68fc1d295b64b9e5f07f3b7aed4df2

Observation 9a62f420-c9df-4f6c-9aed-b31cbcca7f11 · outbound

This paper cites 1979 , publisher=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 1979 , publisher=

Reference 60

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:844577a858bb3243b7e8cba75b90f05979619b838c826bfe7f515722b507ae4f

Observation e983c746-f641-4399-b58c-59d003479a5b · outbound

This paper cites Deep learning.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Deep learning

Reference 61

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doi, observed 2026-06-27T14:10:58.015871Z

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:c9424d2b9c4329fc151fc21013567c9b0152bf13d16fa917612dd4125d28b4aa

Observation 207fb3ad-e5b0-4aa0-8b4a-2d338ebc869c · outbound

This paper cites , year =.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting , year =

Reference 62

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:77be3bc8d292ade6310e91186baae21fa0fc42f34c810d3463f9312f3b361855

Observation c1d55c25-adee-4341-b647-fd977d2b2aca · outbound

This paper cites 1997 , publisher=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 1997 , publisher=

Reference 63

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:419771b20372f958e9d730e030e2d793b7a4c9dceb34e9f76c07489ac11d22ec

Observation 62d3439f-0e44-4566-bfb2-f3b3def0f578 · outbound

This paper cites 2004 , publisher=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2004 , publisher=

Reference 64

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:35d01a1938e8264f410263f71de011983a6d98fa84d20de16f36d1e5755bcac8

Observation a69fdedf-7744-49de-9dbd-0882c776a72c · outbound

This paper cites 2015 , publisher=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2015 , publisher=

Reference 65

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:da0e27ab7a0c62c541eb3180c5261aee9655eaad40a8515e43fca3972e19ce1e

Observation 12f6057f-fc39-45b3-81c6-a158f4de73fe · outbound

This paper cites 1982 , publisher=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 1982 , publisher=

Reference 66

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:be664a5e5d8f89447180c053d3a4f62d2dad00b84016e8ef7ed911282ad4193a

Observation 5a2d2d1f-eadf-495e-936f-a1b80c300ca3 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , volume=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 67

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:3ee880e257eb8872a37cbeae49a329b11f8dfbe322df6ba23178fbeacb645432

Observation ac070485-9196-4cc9-b0a3-75a7cd00a153 · outbound

This paper cites Journal of forecasting , volume=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Journal of forecasting , volume=

Reference 68

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:69016a22fb0ed29889382e8765a12e5e16e0c159994002422f0a6eb099c2ee92

Observation e109f2ff-bdea-4bb7-ad16-68114466e40b · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Fourier Neural Operator for Parametric Partial Differential Equations

Reference 69

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local_arxiv, observed 2026-06-27T14:10:58.019995Z

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:c7ec91f75e5ead6bf919424eab7d1079c3023ad566d9c683581655f3567630c1

Observation b850bb0e-0e61-467c-8698-11e27c8f56e5 · outbound

This paper cites The Journal of Machine Learning Research , author =.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting The Journal of Machine Learning Research , author =

Reference 70

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:cf3abd827244c7138c8239cc27a0c00c45a616133209c9bb6d658a1a2c6e290a

Observation 21a508de-1199-44a0-beec-98911a1f8be2 · outbound

This paper cites Management science , volume=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Management science , volume=

Reference 71

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:29f4e2aa311e9605b796018b0137e8cd2733fbabe32c3c041024de10bc5d2968

Observation f5331255-4ac5-4b47-8787-c4d6847a47d6 · outbound

This paper cites Representation Learning via Invariant Causal Mechanisms.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Representation Learning via Invariant Causal Mechanisms

Reference 72

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arxiv_id, observed 2026-07-03T04:07:37.189680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:9f48ea1409393c9a4a671c1fca42b12817f974e501f77a4139c8f37594f5c4b6

Observation 5a2e7dfe-aa8e-4e5b-b259-b013b65c8890 · outbound

This paper cites Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?

Reference 73

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arxiv_id, observed 2026-07-03T04:07:37.186286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:ac102a8ab7891e25f664a16fff66309497ec6f4ac4de8bd09c9b1d1f27d215bb

Observation 32754838-dd6f-4690-ac4f-bb9eec2715c4 · outbound

This paper cites Proceedings of the 32nd ACM International Conference on Information and Knowledge Management , pages =.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Proceedings of the 32nd ACM International Conference on Information and Knowledge Management , pages =

Reference 74

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arxiv_id, observed 2026-06-27T14:10:58.013945Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:d1d70d535160bd32f66b6ebc02c6922b7fc5f8aceb890587f0b74cbc152d2834

Observation 87d6f067-8cd5-4e9f-be4c-167d4a021ab6 · outbound

This paper cites ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , year=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , year=

Reference 75

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:11d48cf61e05a9863840f5700f6c138d5987948c194572725377ac2958ed1983

Observation ef4a7882-a987-4145-af26-5b56bd0c686b · outbound

This paper cites Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem

Reference 76

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:d0ce6b0005676ae777fe73fa691b678c79c671845798887162aec4d6fecca69b

Observation 6b22e70d-0124-4b24-a74e-de7755b8ed42 · outbound

This paper cites Proceedings of the 31st ACM International Conference on Multimedia , pages =.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Proceedings of the 31st ACM International Conference on Multimedia , pages =

Reference 77

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arxiv_id, observed 2026-06-27T14:10:57.992844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 16f0b49b-b1ae-4e97-9772-7efecfe71b5a · outbound

This paper cites 2024 , url=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2024 , url=

Reference 78

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:ef2ccdded9d2b4d03200cfae1b15e36a9ed708210ebca22e7e949e10249a5bd1

Observation 63e5231f-4ac4-4e96-8809-46450f565bf1 · outbound

This paper cites an unresolved cited work.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Unresolved cited work

Reference 79

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:79752aa74d1acda27223128e437290908e76a1ff613491b0f4a175dc1addb597

Observation 5042975c-3ba0-4634-83bc-be9761282c81 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting The Twelfth International Conference on Learning Representations , year=

Reference 80

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:00239611ee7e371b9f063076b29faf3695d1ea56dbccebc4ca166d9ba859ed0d

Observation 85b394a2-baac-4410-a4d7-a6a67e2712c5 · outbound

This paper cites Kim and S.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Kim and S

Reference 81

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arxiv_id, observed 2026-06-27T14:10:57.979077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:311221fc12b209b2b95651e9de66e0a366282d7e20a425021b5bb29d1310db5b

Observation f7408637-871b-4b64-ae1e-a34209531e4c · outbound

This paper cites EXPERT SYSTEMS WITH APPLICATIONS , Year =.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting EXPERT SYSTEMS WITH APPLICATIONS , Year =

Reference 82

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arxiv_id, observed 2026-06-27T14:10:58.009705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:8de9faa91ad3c2c650c0ece8439526051714f863cf9b09446d121d378fbba84a

Observation 9a149843-65a4-4418-9008-c15f6306ae1a · outbound

This paper cites arXiv preprint arXiv:2404.10337 (2024).

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting arXiv preprint arXiv:2404.10337 (2024)

Reference 83

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arxiv_id, observed 2026-07-03T04:07:37.210189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:1cf5f7c86b373a11baa7de59604c380d1f5894645764a4ef323830f87f23259f

Observation a70b9331-6d22-4260-a45a-3891eccad5c5 · outbound

This paper cites Proceedings of the 31st ACM International Conference on Multimedia , pages=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Proceedings of the 31st ACM International Conference on Multimedia , pages=

Reference 84

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:89f2c1874d3422746d09eb8031586579ad4df18b016bed43115bb7cf2ee5201f

Observation 8397339e-24c4-4679-9775-40de231e3e1b · outbound

This paper cites 2024 , eprint=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2024 , eprint=

Reference 85

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:109409669cba549c22048b08ca30080dc2303f976502873c144734acf2bb4cdf

Observation a22f820d-d6d7-4e6e-bf89-b96ed4d5f2bb · outbound

This paper cites ArXiv , year=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting ArXiv , year=

Reference 86

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:1e403ec5363c3cd7c5d9eb3f22a1190863f68d0ce5ca167f36a5d1b21fcc9adc

Observation 7367ae57-f7ce-4216-ac0f-88fbbbcb18c5 · outbound

This paper cites and Rubin, Donald B.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting and Rubin, Donald B

Reference 87

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:dbb052369611b7b90da7a4c8c3ee8731ef0d422667a8acbd5a1cb147adc9bd8c

Observation c50e4d2a-1091-4cd1-a842-5147807f5dca · outbound

This paper cites Causal Hidden Markov Model for Time Series Disease Forecasting , year=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Causal Hidden Markov Model for Time Series Disease Forecasting , year=

Reference 88

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:d210f11544721445bc2aac0161e383b48c11a056a25ad18fff3eb23c43e13f09

Observation b036e8e9-252e-4900-b4db-128238e2a2b7 · outbound

This paper cites 2024 , eprint=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2024 , eprint=

Reference 89

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:43fa54a640cddaf5c66634bc895c9aba3e9c6711eccf105820ecd9f5b46cee69

Observation 7a9346a8-d940-4b24-bc9f-7e0dcfb55d3d · outbound

This paper cites an unresolved cited work.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Unresolved cited work

Reference 90

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:627168f79289ff34077adb8c4e0eb948dbc6a50f623bba59a59627dda7ce1c52

Observation 5a43a0fa-98e6-45bd-b6e1-43d9eb5df4d5 · outbound

This paper cites 2025 , eprint=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2025 , eprint=

Reference 91

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:9e9c50a721b1f79092f9240f74261cc0345d184a0350664a4f3f3bc8c10b53af

Observation 3c310d9d-cabe-499d-9203-d3c96e92e342 · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 92

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:a3454fe6c3f0f363403d705486d8b6e2bfcbbb4592b85a19782c04cdd49b4da9

Observation 7b56bc4b-70d3-4e92-ba85-f4ef82bd3e6d · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning , pages =.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Proceedings of the 38th International Conference on Machine Learning , pages =

Reference 93

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:1f2e90e52cbe61a0a7b6c97ab10a4589abe81358818279d1b72169f664824674

Observation 9aab533c-5f03-45fa-b449-cc893c4b0f29 · outbound

This paper cites Time series causal relationships discovery through feature importance and ensemble models , volume =.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Time series causal relationships discovery through feature importance and ensemble models , volume =

Reference 94

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:63e4c61f3e26c8e474c44f35b3a3f10105c331c093dd912d6b55e69d1009ab60

Observation 28daab97-ce69-45dc-a446-69a0c587542a · outbound

This paper cites 2011 , publisher=.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2011 , publisher=

Reference 95

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:d103c25ecf1f40fbb7e89a5fa32bf20a712e5c5f3411f0912c85e3bf53aa159e

Observation 39c4cc07-81f1-4669-b914-ceb89c4784ef · outbound

This paper cites , year =.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting , year =

Reference 96

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:f8a986b8606a5a927ed0e6b359d37df03bc03dfc4c3f32e3755c1a175a5555c7

Observation 54ab86a8-c691-447a-adb7-ea2c4b848d1f · outbound

This paper cites 2009 , publisher =.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2009 , publisher =

Reference 97

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:02977db4d20bc001fdfcdf18d1e2eb3511ad675f128ddc2e95ab03aec1d3582e

Observation 2e91840a-fac3-4b26-bf10-06b98e811f99 · outbound

This paper cites 2018 , publisher =.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting 2018 , publisher =

Reference 98

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source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:d2c27b4c95f5b43a76fddeb21a671f792530e0f1d28a31e86541b417292c5606

Observation adf44f99-8168-4ed7-b7ef-2b1d5a03c509 · outbound

This paper cites Generalization.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Generalization

Reference 99

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doi, observed 2026-06-27T14:10:58.011455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:b60bb9834b38a67ccc897c83d16758c568076909763a2a81190d51f49f2784ee

Observation 6f68f76c-d038-4232-9256-acd11082d349 · outbound

This paper cites Investigating Causal Relations by Econometric Models and Cross-spectral Methods.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Investigating Causal Relations by Econometric Models and Cross-spectral Methods

Reference 100

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doi, observed 2026-06-27T14:10:58.021696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:f5febd0b46def2a2b23ff2a25e357232d0a4973d51463299c66a191a200e129f

Pith citing papers

No inbound Pith citation observations are available.