Paper Citation Record · LEDGER

Multi-Time Attention Networks for Irregularly Sampled Time Series

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2101.10318.

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

pith.paper-citation-record.v1
2101.10318 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:22:29.711709Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:27:36.213529Z

Reference resolution

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 47031cd7-c069-4322-8f3d-341cf518227c · inbound

Neural Functions for Learning Periodic Signal cites this paper.

Neural Functions for Learning Periodic Signal Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:34.152740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d049c21d-5596-437c-9503-13b6ae6d7684 · inbound

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models cites this paper.

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 255

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:42.239443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8d27d85-cac2-4d52-bcf9-3933c572b40d · inbound

The hidden risks of temporal resampling in clinical reinforcement learning cites this paper.

The hidden risks of temporal resampling in clinical reinforcement learning Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:07:29.649009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e8e91c44-c9a8-4a79-ac5b-5e45e9d754ed · inbound

DBGL: Decay-aware Bipartite Graph Learning for Irregular Medical Time Series Classification cites this paper.

DBGL: Decay-aware Bipartite Graph Learning for Irregular Medical Time Series Classification Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:21:00.679195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 28467fea-2275-4343-868a-71d02cc1d6e0 · inbound

Beyond the Final Label: Exploiting the Untapped Potential of Classification Histories in Astronomical Light Curve Analysis cites this paper.

Beyond the Final Label: Exploiting the Untapped Potential of Classification Histories in Astronomical Light Curve Analysis Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:31:17.112886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 009ff1af-ffaa-4305-aad5-36b8bc4414c6 · inbound

To Use AI as Dice of Possibilities with Timing Computation cites this paper.

To Use AI as Dice of Possibilities with Timing Computation Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-02T15:04:15.610876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08e26b16-c164-409f-a89a-4f2ba46c714a · inbound

FLUID: Continuous-Time Hyperconnected Sparse Transformer for Sink-Free Learning cites this paper.

FLUID: Continuous-Time Hyperconnected Sparse Transformer for Sink-Free Learning Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:21:09.942339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f40e2ac3-b7ad-48bc-8be2-4ea6aca4c176 · inbound

Attention-based graph neural networks: a survey cites this paper.

Attention-based graph neural networks: a survey Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 172

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:26:24.955105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e9c64a5-d021-46ad-b71f-2a253ac8d896 · inbound

Transformer autoencoder with local attention for sparse and irregular time series with application on risk estimation cites this paper.

Transformer autoencoder with local attention for sparse and irregular time series with application on risk estimation Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:46:34.047091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1a03ffda-3148-46b7-9b0c-5b08b3a6bfce · inbound

TIDES: Implicit Time-Awareness in Selective State Space Models cites this paper.

TIDES: Implicit Time-Awareness in Selective State Space Models Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:06:18.724599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e14f4e14-3186-43ef-9007-17654b4e6410 · inbound

SurF: A Generative Model for Multivariate Irregular Time Series Forecasting cites this paper.

SurF: A Generative Model for Multivariate Irregular Time Series Forecasting Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:25:05.000125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62f1e8b0-6060-4044-9d91-a9c0b688c4fb · inbound

Perforated Neural Networks for Keyword Spotting cites this paper.

Perforated Neural Networks for Keyword Spotting Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:13:44.806882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 506739db-002a-4e1f-8f8f-98d0bbd7972e · inbound

ReTAMamba: Reliability-Aware Temporal Aggregation with Mamba for Irregular Clinical Time Series Prediction cites this paper.

ReTAMamba: Reliability-Aware Temporal Aggregation with Mamba for Irregular Clinical Time Series Prediction Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:13:47.063099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 212b00f7-55a6-49c5-aeab-8f38612011a3 · inbound

Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration cites this paper.

Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:33:30.753504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ec2d20d8-1642-4d7a-9ada-2158d3922570 · inbound

Physically-Constrained Mamba-SDE for Remaining Useful Life Prediction under Irregular Observations cites this paper.

Physically-Constrained Mamba-SDE for Remaining Useful Life Prediction under Irregular Observations Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:56:20.058155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 94b7f4ba-af1c-491d-a2e3-5c6af6b8579d · inbound

TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models cites this paper.

TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:46:56.945846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15c93a3a-9efb-485a-a633-f68dacdab15b · inbound

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data cites this paper.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.577157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 60401c1d-9578-42cf-8a99-aab742fb238b · inbound

LakeFM: Toward a Foundation Model for Aquatic Ecosystems Using Irregular Multivariate Multi-depth Time Series Data cites this paper.

LakeFM: Toward a Foundation Model for Aquatic Ecosystems Using Irregular Multivariate Multi-depth Time Series Data Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:27:36.215030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 28805c90-412f-4b18-8c42-d061b5c1cd1c · inbound

Missingness as Signal: Channel-Independent Spectrogram Learning for Clinical Time Series Prediction cites this paper.

Missingness as Signal: Channel-Independent Spectrogram Learning for Clinical Time Series Prediction Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-12T05:57:52.610916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ab0271d-92a0-472e-9578-af8500732c6f · inbound

CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series cites this paper.

CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-14T14:52:42.813309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab43da86-7aab-49f7-b5de-a2ade348e016 · inbound

Kepler-Encoder-v0.1: Towards a Multimodal Embedding Model for Robots cites this paper.

Kepler-Encoder-v0.1: Towards a Multimodal Embedding Model for Robots Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T05:01:25.792120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99bd8550-67d1-4367-9776-5a51b41df196 · inbound

MIDiff: Tackling Sparsity and Imbalance in Mobile Usage Generation via Multivariate-Imaging Diffusion cites this paper.

MIDiff: Tackling Sparsity and Imbalance in Mobile Usage Generation via Multivariate-Imaging Diffusion Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T02:44:17.613914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 627b33f0-5c5f-4459-939f-8e838e819bc6 · inbound

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data cites this paper.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T14:22:29.711709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.