Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:26:16.724559Z
Paper Citation Record · LEDGER
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
As of 8 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 3 inbound Pith citation observations for arXiv:2506.05515.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T16:27:45.767100Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T16:35:12.732159Z
Reference resolution
19 of 19 outbound references displayed
- verified exact2
- verified fuzzy5
- unresolved9
- parse uncertain0
- malformed identifier1
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 29ac5364-c82e-4591-8c9d-71916030f04e · outbound
This paper cites an unresolved cited work.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:26:18.984782Z
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.
Observation 2392e214-d797-4818-b5a6-670658596b65 · outbound
This paper cites an unresolved cited work.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:26:18.050293Z
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.
Observation 2b22b066-d006-480b-a940-359035a29f59 · outbound
This paper cites ETS, Trf.TempFlow and Tactis2, columns are in gray because they don’t share the same backbone as the other baselines.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting ETS, Trf.TempFlow and Tactis2, columns are in gray because they don’t share the same backbone as the other baselines
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:26:18.624780Z
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.
Observation 75b78a53-b4c6-4989-8ecd-142a7654e594 · outbound
This paper cites In this table, the distortion is computed with a variable number of hypothesesKfor each baseline, as in Table 4 of the main paper.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting In this table, the distortion is computed with a variable number of hypothesesKfor each baseline, as in Table 4 of the main paper
Reference 9
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T10:26:18.213116Z
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.
Observation 23a0659b-05df-41d0-84c4-78e3adb82549 · outbound
This paper cites These series generally display recurrent rush-hour peaks as well as differences between weekdays and weekends.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting These series generally display recurrent rush-hour peaks as well as differences between weekdays and weekends
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:26:18.970535Z
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.
Observation a397e219-41ce-4875-80a6-c8b20bcc0545 · outbound
This paper cites Here, TimeMCL follows the same experimental setup as in the previous benchmark, except that we used Z-Score normalization (instead of mean scaling) during training.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting Here, TimeMCL follows the same experimental setup as in the previous benchmark, except that we used Z-Score normalization (instead of mean scaling) during training
Reference 12
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T10:26:17.051466Z
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.
Observation f0c5781a-f612-49c1-9ce0-eee22ab39b8a · outbound
This paper cites Inference.We used the official experimental protocol for evaluation in this benchmark (e.g.,(Rasul et al., 2021a)).
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting Inference.We used the official experimental protocol for evaluation in this benchmark (e.g.,(Rasul et al., 2021a))
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:26:18.412653Z
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.
Observation e821046b-aea0-4732-a947-aedbf4733e0d · outbound
This paper cites We observe thatTimeMCL produces smoother predictions compared to other methods and effectively captures different modes in the conditional distribution.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting We observe thatTimeMCL produces smoother predictions compared to other methods and effectively captures different modes in the conditional distribution
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:26:17.869413Z
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.
Observation 9aa28ab2-11cd-40ce-97f6-771ba723fefe · outbound
This paper cites an unresolved cited work.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting Unresolved cited work
Reference 64
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T10:26:17.297167Z
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.
Observation d1b9560b-83be-4a42-a61e-871fd52a885f · outbound
This paper cites an unresolved cited work.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting Unresolved cited work
Reference 1976
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:26:18.954025Z
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.
Observation d0aad034-de61-4b90-9979-65dddb916c3c · outbound
This paper cites Appendix A contains the proofs of the theoretical results, establishing that TimeMCL can be interpreted as a functional quantizer.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting Appendix A contains the proofs of the theoretical results, establishing that TimeMCL can be interpreted as a functional quantizer
Reference 1982
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:26:19.019692Z
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.
Observation 859c22ac-99a8-47f0-a808-49434e87a16f · outbound
This paper cites WaveNet: A Generative Model for Raw Audio.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting WaveNet: A Generative Model for Raw Audio
Reference 2005
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:26:15.614683Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17cb7ebb-6195-4579-ae8b-42637caf965b · outbound
This paper cites Deep Learning for Time Series Forecasting: Tutorial and Literature Survey.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Reference 2007
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T10:26:17.665874Z
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.
Observation e7ce6dc0-ba67-4a09-9ec7-fff44ec9c5aa · outbound
This paper cites Gaussian Error Linear Units (GELUs).
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting Gaussian Error Linear Units (GELUs)
Reference 2012
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:26:15.528426Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfcac169-d09d-472e-85e6-01e5c0bf56e4 · outbound
This paper cites The Nystr\"om method for functional quantization with an application to the fractional Brownian motion.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting The Nystr\"om method for functional quantization with an application to the fractional Brownian motion
Reference 2014
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:26:17.504349Z
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.
Observation 1f201c24-5a06-4c5d-a0a7-aead95f03395 · outbound
This paper cites an unresolved cited work.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting Unresolved cited work
Reference 2015
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:26:19.001378Z
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.
Observation 84661d3e-f5f8-41c8-8c5d-5ae643f3f9c9 · outbound
This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:26:15.266633Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f30e7056-564e-4f09-b608-0069c2f8dd2c · outbound
This paper cites Generating Sequences With Recurrent Neural Networks.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting Generating Sequences With Recurrent Neural Networks
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:26:15.434691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27d62e35-9cdf-4c55-b1ff-9e39548f80ab · outbound
This paper cites an unresolved cited work.
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting Unresolved cited work
Reference 2024
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:26:18.830421Z
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.
Pith citing papers
Observation 5aae305a-1816-444c-b026-2862800ef945 · inbound
ReNF: Rethinking the Design of Neural Long-Term Time Series Forecasters cites this paper.
ReNF: Rethinking the Design of Neural Long-Term Time Series Forecasters Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:06:23.910170Z
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.
Observation 056bc1e7-bb0b-45b4-a607-31297e1bc102 · inbound
Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting cites this paper.
Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:10:21.972854Z
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.
Observation e35492e8-6739-46bd-a772-4d22274a63d0 · inbound
PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation cites this paper.
PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:35:12.733607Z
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.