Quantile deep learning models for multi-step ahead time series prediction | Paper Citation Record

Observation b8e0ad99-d553-4bcf-8df7-f74ad83b09e4 · outbound

This paper cites Koenker, G.

Quantile deep learning models for multi-step ahead time series prediction Koenker, G

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:10.911738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abafd8bd-7abb-480c-8452-a2d18d67dd5d · outbound

This paper cites Waldmann, Quantile regression: A short story on how and why, Sta- tistical Modelling 18 (3-4) (2018) 203–218.

Quantile deep learning models for multi-step ahead time series prediction Waldmann, Quantile regression: A short story on how and why, Sta- tistical Modelling 18 (3-4) (2018) 203–218

Reference 2

Resolution: verified exact; doi, observed 2026-08-12T14:05:11.886141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation def0c30b-0f94-4f93-90db-d1f6a79c8100 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:10.930012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c3389b7-04b0-429d-9ab6-a9c758ba88db · outbound

This paper cites Fitzenberger, R.

Quantile deep learning models for multi-step ahead time series prediction Fitzenberger, R

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:10.938500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 937373fe-25df-49e9-b8c6-473d07e5bfe4 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:10.949147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18fca6aa-0bc2-4232-aa25-f1f9797821c1 · outbound

This paper cites Briollais, G.

Quantile deep learning models for multi-step ahead time series prediction Briollais, G

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:10.955402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28e8c1e7-9f16-4c88-b57c-ce8b5865352f · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:10.965108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0e2c35a-6413-4247-afa9-d36069936bbc · outbound

This paper cites Buchinsky, Changes in the us wage structure 1963-1987: Applica- tion of quantile regression, Econometrica: Journal of the Econometric Society (1994) 405–458.

Quantile deep learning models for multi-step ahead time series prediction Buchinsky, Changes in the us wage structure 1963-1987: Applica- tion of quantile regression, Econometrica: Journal of the Econometric Society (1994) 405–458

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:10.974666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e834a445-85ac-4665-bbe7-4347144d3eae · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:10.980864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3f4085e-8570-4195-bc77-58870f2b893c · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:10.988039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9a3f4ce-6531-4b02-894d-35daadb8daa3 · outbound

This paper cites Geladi, B.

Quantile deep learning models for multi-step ahead time series prediction Geladi, B

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:10.995425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34c0f858-9e66-4319-849e-afa164432e0f · outbound

This paper cites Vaysse, P.

Quantile deep learning models for multi-step ahead time series prediction Vaysse, P

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.001223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1423e7ce-33d9-43df-a220-c798b937b480 · outbound

This paper cites Dogulu, P.

Quantile deep learning models for multi-step ahead time series prediction Dogulu, P

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.007483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d48a7696-0351-4616-8de9-5472bce65045 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.013298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feb88900-5d79-4755-ae7a-2ba38ce0041f · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.018636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b401652c-8493-4562-8d52-f43be8521e3f · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.025303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f05f52fd-a1db-4771-842b-bf0ed421745e · outbound

This paper cites Makkonen, Problems in the extreme value analysis, Structural safety 30 (5) (2008) 405–419.

Quantile deep learning models for multi-step ahead time series prediction Makkonen, Problems in the extreme value analysis, Structural safety 30 (5) (2008) 405–419

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.041148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1818896e-fd95-4472-a036-ba701fadb4bf · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.050697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55f7054f-f6c8-4609-9e54-899f384d7627 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.056388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c78f319f-4113-4fbe-831d-a4b2eb33c2e5 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.062868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f521f166-cfbc-4aff-ad60-757302087172 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.071468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f3f6e19-f345-4bae-9e99-993f82e2348f · outbound

This paper cites Cumperayot, R.

Quantile deep learning models for multi-step ahead time series prediction Cumperayot, R

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.083443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b8e4e63-c336-4b78-9ae6-2f446ad68041 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.090670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4115dbf-8a06-46d4-9cb7-ecaaa07f9c4e · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.097992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31401706-1dc7-4d83-9382-8de6da0a4714 · outbound

This paper cites Velthoen, C.

Quantile deep learning models for multi-step ahead time series prediction Velthoen, C

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:14.732406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6689e922-ddcc-485e-aaf6-7ced9fb42c62 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:14.702677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 20072069-4331-407b-89bc-6fb839beab14 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.120308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b41e0348-ed67-41d0-b715-3c711ccd43a5 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:14.660591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 929281ab-c7e7-4b87-acef-2e79bc66280b · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:14.629327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 78c0c2e6-f23e-4181-bcf6-f0261080b672 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:14.609149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 46e47707-ea25-4911-b816-42a6b33e4778 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:14.577733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 64367003-63f0-47fa-bae0-a60b90ac4057 · outbound

This paper cites Ensemble learning for uncertainty estimation with application to the correction of satellite precipitation products.

Quantile deep learning models for multi-step ahead time series prediction Ensemble learning for uncertainty estimation with application to the correction of satellite precipitation products

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:05:12.798670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e7582791-4ade-4703-b53a-5fa818f231d2 · outbound

This paper cites Tyralis, G.

Quantile deep learning models for multi-step ahead time series prediction Tyralis, G

Reference 33

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T14:05:14.555018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 98729132-35ff-401f-9f65-580b9df29a33 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:14.532986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 45b03a9b-b0dd-4118-bb15-78f76557135f · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:14.513271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f23912a8-f999-4b5c-a95b-2785376d4c44 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:14.487065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 58d9ccb2-bf0f-4e8a-9792-c7c6d0f814ac · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:14.454541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9c3daf18-18eb-4894-af3e-ec8785e8d702 · outbound

This paper cites Zhang, H.

Quantile deep learning models for multi-step ahead time series prediction Zhang, H

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:14.424934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 40a67409-6bab-457e-ad89-004e18254254 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:14.399341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7e655e04-f4ff-44ee-b45b-da75ea32d182 · outbound

This paper cites Tang, et al., Neural networks for partially linear quantile regression, Journal of Business & Economic Statistics (2023).

Quantile deep learning models for multi-step ahead time series prediction Tang, et al., Neural networks for partially linear quantile regression, Journal of Business & Economic Statistics (2023)

Reference 40

Resolution: malformed identifier; no resolver link, observed 2026-08-12T14:05:11.218259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bb4a45c-14e4-4e8f-8082-9de2a4455243 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:14.362849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50088878-42e2-408b-ab7c-bc0d25a4006a · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:14.327493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 44626b43-b022-4336-822b-5bc636a64a8f · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 43

Resolution: malformed identifier; doi_truncated, observed 2026-08-12T14:05:12.644011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9aa65831-1ff3-4efc-bcca-74a2e6251cc6 · outbound

This paper cites Review of deep learning models for crypto price prediction: implementation and evaluation.

Quantile deep learning models for multi-step ahead time series prediction Review of deep learning models for crypto price prediction: implementation and evaluation

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:05:12.535640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 11c987fa-1b73-460b-ad4b-24f5aa5a1ae6 · outbound

This paper cites Hochreiter, J.

Quantile deep learning models for multi-step ahead time series prediction Hochreiter, J

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.249341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 371cce80-069a-41b3-9293-70d6fe930be8 · outbound

This paper cites Alzubaidi, J.

Quantile deep learning models for multi-step ahead time series prediction Alzubaidi, J

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:14.275801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b388615-0f85-4f15-87c0-d60300b12863 · outbound

This paper cites Chandra, S.

Quantile deep learning models for multi-step ahead time series prediction Chandra, S

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.264636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbcc2f8c-74e8-41fc-a6d2-b73ca08c4000 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:14.205494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c1c7c816-cfed-4f41-81b1-712bac7862c9 · outbound

This paper cites Koenker, Quantile regression for longitudinal data, Journal of multi- variate analysis 91 (1) (2004) 74–89.

Quantile deep learning models for multi-step ahead time series prediction Koenker, Quantile regression for longitudinal data, Journal of multi- variate analysis 91 (1) (2004) 74–89

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:14.169451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e0ae0866-e89a-4d63-91d0-a6ff11f4c48c · outbound

This paper cites Cai, Regression quantiles for time series, Econometric theory 18 (1) (2002) 169–192.

Quantile deep learning models for multi-step ahead time series prediction Cai, Regression quantiles for time series, Econometric theory 18 (1) (2002) 169–192

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:14.135352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3c01e2e8-14d0-4472-aee6-d9886f13d5e7 · outbound

This paper cites Xiao, Time series quantile regressions, in: Handbook of statistics, V ol.

Quantile deep learning models for multi-step ahead time series prediction Xiao, Time series quantile regressions, in: Handbook of statistics, V ol

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:14.101200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b808a379-91ea-411f-b6f1-388e945153ba · outbound

This paper cites Koenker, Quantile regression: 40 years on, Annual review of economics 9 (2017) 155–176.

Quantile deep learning models for multi-step ahead time series prediction Koenker, Quantile regression: 40 years on, Annual review of economics 9 (2017) 155–176

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.299865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a11b9c36-6e62-457c-ab1c-fe421edfb0b0 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:14.076500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4819c171-3ef4-418f-aff1-ec98c9896e91 · outbound

This paper cites Pickands III, Statistical inference using extreme order statistics, The Annals of Statistics (1975) 119–131.

Quantile deep learning models for multi-step ahead time series prediction Pickands III, Statistical inference using extreme order statistics, The Annals of Statistics (1975) 119–131

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:14.046940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d86c56b6-637c-43e4-bba0-8c3701980beb · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:14.016983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cb4b3198-e112-4acd-a351-2e355113d034 · outbound

This paper cites Castillo, A.

Quantile deep learning models for multi-step ahead time series prediction Castillo, A

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:13.986470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5c582b78-2488-4928-9b3e-74e2ad289afd · outbound

This paper cites Ferreira, L.

Quantile deep learning models for multi-step ahead time series prediction Ferreira, L

Reference 57

Resolution: verified exact; raw_fallback, observed 2026-08-12T14:05:12.484920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 92fa1494-2932-48d3-8c7b-437583e81740 · outbound

This paper cites Fr ´echet, Sur la loi de probabilit´e de l’´ecart maximum, Ann.

Quantile deep learning models for multi-step ahead time series prediction Fr ´echet, Sur la loi de probabilit´e de l’´ecart maximum, Ann

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:13.955317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f6263520-34bb-44ad-bf2b-101800838b27 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.929935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5f6357b5-7cb8-41ac-add5-a39ab1eb1788 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.903558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50871bbc-93b4-4f1a-96c6-5461676608a8 · outbound

This paper cites B ¨ucher, C.

Quantile deep learning models for multi-step ahead time series prediction B ¨ucher, C

Reference 61

Resolution: verified exact; doi, observed 2026-08-12T14:05:11.837444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 84b78d09-5f99-4809-8cb6-d514557a0193 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.876920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 366b8d32-3ba0-43b8-9f5d-195490a633c3 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.851001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 19d462a5-d6c1-467a-afaf-b7d7996c0100 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.829233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1c8ba8a1-ccd4-4735-b6c3-c34d1f50cf70 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.802635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 102e125b-d7ea-4612-ad02-2212e4a088ea · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 66

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T14:05:12.337842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 21ed7938-4fd9-48e0-b721-5b5808872cd2 · outbound

This paper cites Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments.

Quantile deep learning models for multi-step ahead time series prediction Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:05:12.218054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4d8bbfcc-ac34-433f-ab98-dad842a10f35 · outbound

This paper cites Lampinen, A.

Quantile deep learning models for multi-step ahead time series prediction Lampinen, A

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:13.776487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0b96221a-8564-4fec-b518-2cf9ce93d635 · outbound

This paper cites Kononenko, Bayesian neural networks, Biological Cybernetics 61 (5) (1989) 361–370.

Quantile deep learning models for multi-step ahead time series prediction Kononenko, Bayesian neural networks, Biological Cybernetics 61 (5) (1989) 361–370

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:13.740507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f74b2a83-ce1b-4da6-aed5-60b1def53ed0 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.714469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 79628f46-91f3-43d6-944b-5ed72e485d23 · outbound

This paper cites Chandra, Y.

Quantile deep learning models for multi-step ahead time series prediction Chandra, Y

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.450768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70cd61f8-ec54-4283-ae86-798930b80b14 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.685258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 33f0cd00-6736-4f96-88de-2ee8a0130251 · outbound

This paper cites Van Houdt, C.

Quantile deep learning models for multi-step ahead time series prediction Van Houdt, C

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.462780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c29b6bde-3637-4eeb-969b-9ec0adfbb6cd · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.647660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a0aef1af-8eb4-4e0c-8335-79ac4bff906e · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.473894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb0cd603-0bb5-4d4c-b067-9deea68a80b8 · outbound

This paper cites Graves, J.

Quantile deep learning models for multi-step ahead time series prediction Graves, J

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:13.588627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 881b11ed-8c25-4693-bb68-b2e4657bbe8d · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.564325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 315c0520-51b6-4e68-ac40-8454c9f7bf6f · outbound

This paper cites Sutskever, O.

Quantile deep learning models for multi-step ahead time series prediction Sutskever, O

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:13.509676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a03e8486-fa88-48d6-ae5e-83dbbc66c3ff · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.482431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2762af75-9acf-4626-b42c-3b1105881a6f · outbound

This paper cites Hecht-Nielsen, Theory of the backpropagation neural network, in: Neural Networks for Perception, Academic Press, 1992, pp.

Quantile deep learning models for multi-step ahead time series prediction Hecht-Nielsen, Theory of the backpropagation neural network, in: Neural Networks for Perception, Academic Press, 1992, pp

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:13.454433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 711726ac-5be7-4048-9849-ccc89eee6d01 · outbound

This paper cites Hinaut, N.

Quantile deep learning models for multi-step ahead time series prediction Hinaut, N

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:13.422307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 417d65c5-aa7c-4f43-9c7a-291fb69c9e74 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 82

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T14:05:13.400510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d8f4c472-9b6d-444a-a0d0-8ab9f6d5da63 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.532997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dacc4e9-dc00-4463-80bd-d5371f51ba28 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Quantile deep learning models for multi-step ahead time series prediction Adam: A Method for Stochastic Optimization

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.558270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cbebfe5-ca27-4e05-8aaf-a12061448f54 · outbound

This paper cites Greaves, B.

Quantile deep learning models for multi-step ahead time series prediction Greaves, B

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:13.356998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50adff2f-9cbe-45f5-93c3-652102266afc · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.314189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a2793440-c499-4bab-a047-01759d3933af · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.287390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f96f71b9-7c6b-44e4-bfdc-d5ca8f8a5c55 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.256519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0bb8c466-a208-4754-a5ed-6e5652b76b24 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.221611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5ad9f9cc-a631-4b7a-99ba-3c2d142b024e · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.193357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ef74165d-90b1-41d8-a2b8-07cef8297311 · outbound

This paper cites Muthukrishnan, R.

Quantile deep learning models for multi-step ahead time series prediction Muthukrishnan, R

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:13.158841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e7fed99a-8d9e-4897-8ffe-2deefa32b641 · outbound

This paper cites Lecture notes on ridge regression.

Quantile deep learning models for multi-step ahead time series prediction Lecture notes on ridge regression

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.615152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7241811d-5187-467b-b7a6-af6373a4de66 · outbound

This paper cites Wager, S.

Quantile deep learning models for multi-step ahead time series prediction Wager, S

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:05:13.129277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2971671f-ea87-4faf-80be-1c49b010e8c0 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.090339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 20f74f79-3b46-4872-be53-a68af548c25e · outbound

This paper cites Sentiment Analysis in the Era of Large Language Models: A Reality Check.

Quantile deep learning models for multi-step ahead time series prediction Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.633024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42305955-ce5e-46ca-943d-0339c920341a · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 96

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:05:13.060084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f54b60ca-549f-4fc8-b3ef-26cb721f7e8c · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 97

Resolution: verified exact; doi, observed 2026-08-12T14:05:11.772767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 57db06dd-88e2-44ec-9952-9a738609ccb9 · outbound

This paper cites an unresolved cited work.

Quantile deep learning models for multi-step ahead time series prediction Unresolved cited work

Reference 98

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T14:05:13.033567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2ee18eac-1c88-435c-b3a7-29e49af9ce8a · outbound

This paper cites Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning.

Quantile deep learning models for multi-step ahead time series prediction Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.666683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3239a348-3034-47eb-b02a-2f42cb75423c · outbound

This paper cites Inferring Parameters and Structure of Latent Variable Models by Variational Bayes.

Quantile deep learning models for multi-step ahead time series prediction Inferring Parameters and Structure of Latent Variable Models by Variational Bayes

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-12T14:05:11.672665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers