Paper Citation Record · LEDGER

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2505.10856.

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

pith.paper-citation-record.v1
2505.10856 v1

Coverage vector

measured 43 of 43 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation cea80599-6367-4539-b2b3-422a4a66d5d0 · outbound

This paper cites Missing data imputation of high-resolution temporal climate time series data.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Missing data imputation of high-resolution temporal climate time series data

Reference 1

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Observation c6297fa9-2be1-43c8-8134-57f9ebead1ec · outbound

This paper cites Based on this synthetic dataset, we test the representation Table 4: Details of benchmark datasets.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Based on this synthetic dataset, we test the representation Table 4: Details of benchmark datasets

Reference 3

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Observation ef641524-c000-4fb6-9b63-c500935d87be · outbound

This paper cites Saits: Self-attention-based imputation for time series.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Saits: Self-attention-based imputation for time series

Reference 6

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Observation b66a9670-a68b-491d-8b59-29a4a9a94ad9 · outbound

This paper cites HyperTime: Implicit Neural Representation for Time Series.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data HyperTime: Implicit Neural Representation for Time Series

Reference 8

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Observation b719cd0f-6d84-4fa9-b0d3-339ca22d90e9 · outbound

This paper cites Methods for the estimation of missing values in time series.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Methods for the estimation of missing values in time series

Reference 9

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Observation 4855254d-b7d4-46f3-bc45-48b5ae92835a · outbound

This paper cites The mimic code repos- itory: enabling reproducibility in critical care research.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data The mimic code repos- itory: enabling reproducibility in critical care research

Reference 13

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Observation 45a9ad00-4d21-475d-9ae1-3adc36125465 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Adam: A Method for Stochastic Optimization

Reference 14

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Observation 929698d8-917e-4550-a109-e24b0f51b5a9 · outbound

This paper cites TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection

Reference 16

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Observation 8fa1969f-30ad-49fa-ac10-be107dfd137e · outbound

This paper cites Implicit neural dis- tance optimization for mesh neural subdivision.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Implicit neural dis- tance optimization for mesh neural subdivision

Reference 17

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Observation fc33df5b-99ab-4bff-afc8-7e5a09415ad6 · outbound

This paper cites itransformer: Inverted transformers are effective for time series forecasting.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data itransformer: Inverted transformers are effective for time series forecasting

Reference 18

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Observation 658d10bc-e774-4452-b624-a824938ea7c8 · outbound

This paper cites Implicit neural rep- resentation in medical imaging: A comparative survey.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Implicit neural rep- resentation in medical imaging: A comparative survey

Reference 20

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Observation be3af471-6ff4-46e6-b384-a7ca637e1585 · outbound

This paper cites Time se- ries continuous modeling for imputation and forecast- ing with implicit neural representations.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Time se- ries continuous modeling for imputation and forecast- ing with implicit neural representations

Reference 21

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This paper cites Imputeformer: Low rankness-induced transformers for generalizable spatiotemporal imputation.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Imputeformer: Low rankness-induced transformers for generalizable spatiotemporal imputation

Reference 22

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Observation 12b4c507-1577-429e-97d4-51f332a37a0c · outbound

This paper cites https://www.nrel.gov/grid/solar- power-data.html.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data https://www.nrel.gov/grid/solar- power-data.html

Reference 23

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Observation f0575073-1e99-48bd-bf13-3a038ff154ca · outbound

This paper cites Early prediction of sepsis from clinical data: the physionetcomputing in cardiology challenge.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Early prediction of sepsis from clinical data: the physionetcomputing in cardiology challenge

Reference 24

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Observation bca01c5d-2861-4a96-85aa-06e16b1e7980 · outbound

This paper cites Miner: Multiscale implicit neural repre- sentation.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Miner: Multiscale implicit neural repre- sentation

Reference 25

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Observation 89b9ae95-bc18-40c7-8d2d-ac1682cb4275 · outbound

This paper cites Interrupted time series analysis using autoregressive integrated moving average (arima) models: a guide for evaluating large-scale health interventions.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Interrupted time series analysis using autoregressive integrated moving average (arima) models: a guide for evaluating large-scale health interventions

Reference 26

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Observation 4dd38b1a-fd5b-49bd-a084-27ee6d2eb542 · outbound

This paper cites Predict- ing in-hospital mortality of icu patients: The phys- ionet/computing in cardiology challenge 2012.Computing in cardiology, 39:245,.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Predict- ing in-hospital mortality of icu patients: The phys- ionet/computing in cardiology challenge 2012.Computing in cardiology, 39:245,

Reference 28

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This paper cites mice: Multivariate imputation by chained equations in r.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data mice: Multivariate imputation by chained equations in r

Reference 30

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Observation 4b0cf70b-c5c5-400c-85e7-6174c155eaf3 · outbound

This paper cites Timemixer: Decomposable multiscale mix- ing for time series forecasting.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Timemixer: Decomposable multiscale mix- ing for time series forecasting

Reference 33

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ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Unresolved cited work

Reference 34

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Observation 6c2fa2a3-f63c-4ca4-82a6-545fd42c10c2 · outbound

This paper cites Pm-inr: Prior-rich multi-modal implicit large-scale scene neural representation.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Pm-inr: Prior-rich multi-modal implicit large-scale scene neural representation

Reference 35

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Observation 5e99ebd3-bebf-4700-88b0-ce3a13f935b1 · outbound

This paper cites Coordinates are not lonely-codebook prior helps implicit neural 3d represen- tations.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Coordinates are not lonely-codebook prior helps implicit neural 3d represen- tations

Reference 36

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Observation 7f8bbb7f-b212-45cc-bcb1-1230983d2fda · outbound

This paper cites Estimating missing data in temporal data streams using multi-directional recurrent neural net- works.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Estimating missing data in temporal data streams using multi-directional recurrent neural net- works

Reference 37

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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,.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Are transformers effective for time series fore- casting? In Proceedings of the AAAI conference on artifi- cial intelligence, volume 37, pages 11121–11128,

Reference 38

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This paper cites Cautionary tales on air-quality improvement in beijing.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Cautionary tales on air-quality improvement in beijing

Reference 39

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Observation cf007be4-7dad-4c00-b0b6-503a121d699c · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 41

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This paper cites One fits all: Power general time series analysis by pretrained lm.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data One fits all: Power general time series analysis by pretrained lm

Reference 42

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This paper cites Brits: Bidirectional recurrent im- putation for time series.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Brits: Bidirectional recurrent im- putation for time series

Reference 1992

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Observation 01f479a6-b2ef-40ba-8339-007e4116a284 · outbound

This paper cites MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance

Reference 2006

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Observation d79af651-8d8d-47cb-8b5a-0dbec9dc2c17 · outbound

This paper cites Air Quality.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Air Quality

Reference 2011

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Observation 63f809b8-4228-4ec7-87ad-357a4925af0f · outbound

This paper cites Csdi: Conditional score- based diffusion models for probabilistic time series impu- tation.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Csdi: Conditional score- based diffusion models for probabilistic time series impu- tation

Reference 2012

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Observation c26ef8b0-a3f5-42ee-97c3-423b391f7d58 · outbound

This paper cites Meta-learning sparse implicit neural rep- resentations.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Meta-learning sparse implicit neural rep- resentations

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:46.163528Z

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Observation 6a3f4206-6595-4f08-9cb4-349d0a162bd8 · outbound

This paper cites [Wang et al., 2018] Haishuai Wang, Jia Wu, Peng Zhang, and Yixin Chen.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data [Wang et al., 2018] Haishuai Wang, Jia Wu, Peng Zhang, and Yixin Chen

Reference 2016

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Observation 5978027a-a0d0-4037-8f2b-5e57895c98db · outbound

This paper cites Attention beats linear for fast implicit neural representa- tion generation.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Attention beats linear for fast implicit neural representa- tion generation

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:45.815599Z

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Observation 76809fad-7cb1-458d-b974-d2fbc39668c6 · outbound

This paper cites Transformers as meta-learners for implicit neural repre- sentations.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Transformers as meta-learners for implicit neural repre- sentations

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:46.237435Z

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Observation 20cb9233-f5fc-4ce8-b154-24cc37b8e598 · outbound

This paper cites Time-Series Anomaly Detection with Implicit Neural Representation.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Time-Series Anomaly Detection with Implicit Neural Representation

Reference 2019

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This paper cites Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models

Reference 2020

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This paper cites Nrtsi: Non-recurrent time series imputation.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Nrtsi: Non-recurrent time series imputation

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:46.001184Z

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Observation ceea3a79-dc6d-45b3-9104-1150378fb552 · outbound

This paper cites An introduction to ker- nel and nearest-neighbor nonparametric regression.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data An introduction to ker- nel and nearest-neighbor nonparametric regression

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:46.273363Z

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Observation 1c65bdf9-f302-4884-8b21-a87d3c668618 · outbound

This paper cites PyPOTS: A Python Toolkit for Machine Learning on Partially-Observed Time Series.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data PyPOTS: A Python Toolkit for Machine Learning on Partially-Observed Time Series

Reference 2023

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Source-reported events for the cited work

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This paper cites Motion- adjustable neural implicit video representation.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Motion- adjustable neural implicit video representation

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:46.114684Z

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Observation 7662bb53-068d-4ab8-88ff-02e855cd3d72 · outbound

This paper cites Kale, Greg Ver Steeg, and Aram Galstyan.

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Kale, Greg Ver Steeg, and Aram Galstyan

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:46.193529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.