Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:49:39.605045Z
Paper Citation Record · LEDGER
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis
As of 13 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2412.01063.
A citation records a reference. It does not transfer a finding from one paper to another.
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One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
61 of 61 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 417b8540-cebd-43f0-98c9-f3a3f1313240 · outbound
This paper cites No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation 7a1229cc-cac7-40dc-b4d8-0121c8afbfca · outbound
This paper cites Time-aware multi-scale rnns for time series modeling.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Time-aware multi-scale rnns for time series modeling
Reference 9
- Resolution
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Observation bed94fa2-b50e-4f83-a394-4e79a7c73fb1 · outbound
This paper cites Nonstationary tem- poral matrix factorization for multivariate time series fore- casting.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Nonstationary tem- poral matrix factorization for multivariate time series fore- casting
Reference 10
- Resolution
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Observation e38a3c87-e64a-4e2d-9271-309c228a18fc · outbound
This paper cites Fast global alignment kernels.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Fast global alignment kernels
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation efe3faa1-b780-478a-9914-0c81db19e0e0 · outbound
This paper cites Saits: Self-attention-based imputation for time series.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Saits: Self-attention-based imputation for time series
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation 7a7f9a93-c8eb-4b21-9f40-b30411a14ff3 · outbound
This paper cites Multiscale vision transformers.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Multiscale vision transformers
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 6b73109b-23c9-4b22-b7ae-01b3ee94b484 · outbound
This paper cites Dynamic nonlinear matrix comple- tion for time-varying data imputation.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Dynamic nonlinear matrix comple- tion for time-varying data imputation
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8ccb25e6-ca32-4999-82ad-6f94c98496ad · outbound
This paper cites Physiobank, physiotoolkit, and physionet: components of a new re- search resource for complex physiologic signals.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Physiobank, physiotoolkit, and physionet: components of a new re- search resource for complex physiologic signals
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 977de048-9ed9-4009-902d-eaaece2934a5 · outbound
This paper cites Multivariate time series forecasting with dynamic graph neural odes.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Multivariate time series forecasting with dynamic graph neural odes
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 4b246a50-b169-41c0-8fcf-b31b91572005 · outbound
This paper cites Mimic-iii, a freely accessible critical care database sci.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Mimic-iii, a freely accessible critical care database sci
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d17a6af2-cd6c-47ce-99fc-23d5b291c1ff · outbound
This paper cites Neural controlled differential equations for irregular time series.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Neural controlled differential equations for irregular time series
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1257e7ec-86c8-498a-a1d0-3281ec3b91e2 · outbound
This paper cites Time series as images: Vision transformer for irregularly sampled time series.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Time series as images: Vision transformer for irregularly sampled time series
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation de3af2fd-f70d-414c-afb8-e620b0ff22e3 · outbound
This paper cites Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.228622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 83173838-60ea-4905-b1f2-2ff82398af8e · outbound
This paper cites Least-squares frequency analysis of unequally spaced data.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Least-squares frequency analysis of unequally spaced data
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9e7564f9-62fd-4f5e-b206-72786dc347bd · outbound
This paper cites Phased lstm: Accelerating recurrent network training for long or event-based sequences.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Phased lstm: Accelerating recurrent network training for long or event-based sequences
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.174657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8b2cc24f-dfa2-4303-8115-59bd3ca56637 · outbound
This paper cites Introducing a new benchmarked dataset for activity moni- toring.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Introducing a new benchmarked dataset for activity moni- toring
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.161413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 513386f4-1d8c-488d-8bdb-8c84222182f8 · outbound
This paper cites Latent ordinary differential equa- tions for irregularly-sampled time series.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Latent ordinary differential equa- tions for irregularly-sampled time series
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.134909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fcc257d9-cffe-4c1a-9f24-2f50618a4e31 · outbound
This paper cites Studies in astronomical time series analysis.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Studies in astronomical time series analysis
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.120834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e085d7df-f935-4489-86b8-388a68466661 · outbound
This paper cites Scaleformer: Itera- tive multi-scale refining transformers for time series fore- casting.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Scaleformer: Itera- tive multi-scale refining transformers for time series fore- casting
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.095394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 95d5f71c-3c6e-482f-8a99-f6105d7eb92f · outbound
This paper cites Interpolation-prediction networks for irreg- ularly sampled time series.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Interpolation-prediction networks for irreg- ularly sampled time series
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.082783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c3f73605-716c-4897-a464-0dce740adb7c · outbound
This paper cites A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46766e4e-1bc2-44d8-b7a5-089ae41fa641 · outbound
This paper cites Multi-time attention networks for irregu- larly sampled time series.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Multi-time attention networks for irregu- larly sampled time series
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation be384efd-48b5-4923-89a3-dc336417dfcf · outbound
This paper cites Predict- ing in-hospital mortality of icu patients: The phys- ionet/computing in cardiology challenge.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Predict- ing in-hospital mortality of icu patients: The phys- ionet/computing in cardiology challenge
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 313837ab-a072-43d1-a35b-b63c7547db65 · outbound
This paper cites an unresolved cited work.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Unresolved cited work
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b1d9686d-96bd-4f7a-a88d-0659d97f4dcd · outbound
This paper cites Te-esn: Time encoding echo state network for predic- tion based on irregularly sampled time series data.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Te-esn: Time encoding echo state network for predic- tion based on irregularly sampled time series data
Reference 42
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 27efe94d-ceee-4d80-8eef-f4beb4aefa86 · outbound
This paper cites Time pat- tern reconstruction for classification of irregularly sampled time series.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Time pat- tern reconstruction for classification of irregularly sampled time series
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.018373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 64f82db7-dd82-4808-83ce-b5b85b209ba9 · outbound
This paper cites Csdi: Conditional score-based diffusion models for probabilistic time series imputation.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Csdi: Conditional score-based diffusion models for probabilistic time series imputation
Reference 44
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4b8f23cd-38e7-4406-bcd9-75d7f055c376 · outbound
This paper cites Understanding the lomb–scargle periodogram.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Understanding the lomb–scargle periodogram
Reference 45
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation af900cb1-5ec5-4af2-ac4b-8c46611b7a43 · outbound
This paper cites Attention is all you need.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Attention is all you need
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:39.979067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e10fe2f3-ee08-4661-ab43-7650d1edc969 · outbound
This paper cites Optimal transport: old and new, volume.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Optimal transport: old and new, volume
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:39.965939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b6af8d3a-43cb-49f3-838a-86d39522abfb · outbound
This paper cites Con- necting the dots: Multivariate time series forecasting with graph neural networks.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Con- necting the dots: Multivariate time series forecasting with graph neural networks
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:39.952477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 66f8ae71-1915-430c-9f08-5ae4518b9e18 · outbound
This paper cites Dy- namic gaussian mixture based deep generative model for robust forecasting on sparse multivariate time series.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Dy- namic gaussian mixture based deep generative model for robust forecasting on sparse multivariate time series
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:39.939810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cfc61c4d-f64b-40ac-a4f0-6df5e25f1243 · outbound
This paper cites Grafiti: Graphs for forecasting irregu- larly sampled time series.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Grafiti: Graphs for forecasting irregu- larly sampled time series
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:39.925955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c36eb66a-bc39-4fbd-8772-b7106645c3db · outbound
This paper cites Gain: Missing data imputation using gen- erative adversarial nets.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Gain: Missing data imputation using gen- erative adversarial nets
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:39.911843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a25e4695-dc82-42fc-b0a8-045580d7cab7 · outbound
This paper cites Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T04:49:39.642981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b9cf5c20-c001-4482-add8-431423dc5f80 · outbound
This paper cites Are transformers effective for time series fore- casting? In Proceedings of the AAAI conference on artifi- cial intelligence, volume 37, pages 11121–11128,.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Are transformers effective for time series fore- casting? In Proceedings of the AAAI conference on artifi- cial intelligence, volume 37, pages 11121–11128,
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:49:39.575889Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a4ec6f6-1566-4196-9306-996a1139ccdf · outbound
This paper cites Life: Learning individ- ual features for multivariate time series prediction with missing values.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Life: Learning individ- ual features for multivariate time series prediction with missing values
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:39.889554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 74cfed54-a7b9-46b4-9c97-2f1ecf7a431d · outbound
This paper cites Multi-scale group transformer for long sequence modeling in speech separation.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Multi-scale group transformer for long sequence modeling in speech separation
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:39.875990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 552e3588-2315-4daa-986f-80018d9747a3 · outbound
This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Informer: Beyond efficient transformer for long sequence time-series forecasting
Reference 57
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb6a59e5-bf2b-4bb5-8e73-f5c4633ca56e · outbound
This paper cites Fedformer: Fre- quency enhanced decomposed transformer for long-term series forecasting.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Fedformer: Fre- quency enhanced decomposed transformer for long-term series forecasting
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:39.854907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 269a5792-2094-4b5c-9096-11d1445ebbab · outbound
This paper cites The interpolation task can be obtained by removing the projection head fcls and the classification loss term Lcls from the total loss in line #17.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis The interpolation task can be obtained by removing the projection head fcls and the classification loss term Lcls from the total loss in line #17
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:39.840769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ab4efe75-0226-408d-bfbb-f9d47d629e87 · outbound
This paper cites #Avg. obs.
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:39.828162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 72b596fc-e8dd-4422-84e5-2b5c9ff6fa71 · outbound
This paper cites This dataset features multivariate time series from 36 sensors collected during the first 48 hours of ICU stay.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis This dataset features multivariate time series from 36 sensors collected during the first 48 hours of ICU stay
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:39.813591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ae967f76-d887-4160-9540-80923b4318de · outbound
This paper cites A theory for multireso- lution signal decomposition: the wavelet representation.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis A theory for multireso- lution signal decomposition: the wavelet representation
Reference 1976
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.202512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9627620e-8f6e-4d19-a0c9-a1894b0b9315 · outbound
This paper cites Modeling irregular time series with continuous recurrent units.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Modeling irregular time series with continuous recurrent units
Reference 1982
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.108025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1f94cbc9-e48f-4cc1-b151-ccb9fdc0a076 · outbound
This paper cites an unresolved cited work.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Unresolved cited work
Reference 1989
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 483c132e-df04-4ac1-8b65-0b13dacce03f · outbound
This paper cites Neural flows: Efficient alternative to neural odes.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Neural flows: Efficient alternative to neural odes
Reference 1994
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 76a04514-abf0-4704-8a08-56c6028b6f2c · outbound
This paper cites Set func- tions for time series.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Set func- tions for time series
Reference 2000
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1d0f6b1a-5eed-4d1c-aa2b-592e2fc29af4 · outbound
This paper cites Deep Learning for Multivariate Time Series Imputation: A Survey.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Deep Learning for Multivariate Time Series Imputation: A Survey
Reference 2009
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf2e95a8-4cf9-49b1-8c52-c1dbda640226 · outbound
This paper cites Gru-ode-bayes: Con- tinuous modeling of sporadically-observed time series.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Gru-ode-bayes: Con- tinuous modeling of sporadically-observed time series
Reference 2011
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8ec1566a-67a3-4004-a3cb-3457a09b5e3b · outbound
This paper cites Early prediction of sepsis from clinical data: the physionet/computing in cardiology challenge.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Early prediction of sepsis from clinical data: the physionet/computing in cardiology challenge
Reference 2012
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 52ffc9e7-f85c-4950-b102-34fc4fd1a9aa · outbound
This paper cites Hierarchical Transformers Are More Efficient Language Models.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Hierarchical Transformers Are More Efficient Language Models
Reference 2015
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd87f3d3-934a-4ade-9e91-f53c7c269b33 · outbound
This paper cites Time2Vec: Learning a Vector Representation of Time.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Time2Vec: Learning a Vector Representation of Time
Reference 2016
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e4c97cd-39cb-4a3f-928c-2bde289c6a13 · outbound
This paper cites Using dynamic time warping to find patterns in time series.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Using dynamic time warping to find patterns in time series
Reference 2017
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.472786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4111eee7-66a2-4735-9945-acc3e26b82a7 · outbound
This paper cites Neural ordinary dif- ferential equations.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Neural ordinary dif- ferential equations
Reference 2018
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.423814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 73af9d99-1e6d-4525-89fe-b1cda43b6959 · outbound
This paper cites Recurrent neural networks for multivariate time series with missing values.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Recurrent neural networks for multivariate time series with missing values
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.435950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1dfebe6f-e8ef-4a14-b9c1-0786f04da5c5 · outbound
This paper cites Exit: Extrapolation and interpolation-based neural controlled differential equa- tions for time-series classification and forecasting.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Exit: Extrapolation and interpolation-based neural controlled differential equa- tions for time-series classification and forecasting
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.290632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 97cfbd06-12a1-41de-8317-a1b616f34821 · outbound
This paper cites Msgnet: Learning multi- scale inter-series correlations for multivariate time series forecasting.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Msgnet: Learning multi- scale inter-series correlations for multivariate time series forecasting
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.448829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 731991c6-5d77-48a4-992e-a0b2c591c5cb · outbound
This paper cites Primenet: Pre-training for irregular multi- variate time series.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Primenet: Pre-training for irregular multi- variate time series
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.398430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7c6edfe5-c4a0-4ffc-b85a-535486a76435 · outbound
This paper cites Patient subtyp- ing via time-aware lstm networks.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Patient subtyp- ing via time-aware lstm networks
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:49:40.484563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d1a1dd46-d253-41e2-af18-0e6a12aeb191 · outbound
This paper cites Improving Missing Data Imputation with Deep Generative Models.
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Improving Missing Data Imputation with Deep Generative Models
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:49:39.367646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.