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Paper Citation Record · LEDGER

Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2106.00750.

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

pith.paper-citation-record.v1
2106.00750 v1

Coverage vector

measured 0 of 0 reference resolution

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measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:28:07.160781Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:47:10.219040Z

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Outbound references

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Pith citing papers

Observation 7cc21779-b767-4ffd-99a3-2da1e0baae55 · inbound

ST-Tree with Interpretability for Multivariate Time Series Classification cites this paper.

ST-Tree with Interpretability for Multivariate Time Series Classification Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 48

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Observation f533f8d3-7c75-4929-aab9-f3935fdd4684 · inbound

MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal Domains for Time Series Forecasting cites this paper.

MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal Domains for Time Series Forecasting Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 34

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Observation de5aa39a-1b5e-4a39-90a2-7bedf6e7e466 · inbound

Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification cites this paper.

Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 31

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Observation 0b00e52a-2703-4e0d-b51c-541dba0edcc4 · inbound

Contrastive Representation Learning Helps Cross-institutional Knowledge Transfer: A Study in Pediatric Ventilation Management cites this paper.

Contrastive Representation Learning Helps Cross-institutional Knowledge Transfer: A Study in Pediatric Ventilation Management Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 15

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Observation b1df816e-cdd8-4b33-9a26-5219e35ba168 · inbound

The Computation of Generalized Embeddings for Underwater Acoustic Target Recognition using Contrastive Learning cites this paper.

The Computation of Generalized Embeddings for Underwater Acoustic Target Recognition using Contrastive Learning Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 26

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Observation 29d35ee0-d90c-482c-98c6-6a1abf350598 · inbound

LSM-2: Learning from Incomplete Wearable Sensor Data cites this paper.

LSM-2: Learning from Incomplete Wearable Sensor Data Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 61

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Enhancing Contrastive Learning-based Electrocardiogram Pretrained Model with Patient Memory Queue cites this paper.

Enhancing Contrastive Learning-based Electrocardiogram Pretrained Model with Patient Memory Queue Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 30

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Observation e3a8ea7c-5047-4e68-a789-a8a270f0b64e · 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 Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 274

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Observation f774c58b-7bb9-4893-8d09-35862cb5d4cc · inbound

eMargin: Revisiting Contrastive Learning with Margin-Based Separation cites this paper.

eMargin: Revisiting Contrastive Learning with Margin-Based Separation Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 23

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Observation c541daf5-8783-47d5-acac-0a4a2a54df0b · inbound

PLanTS: Periodicity-aware Latent-state Representation Learning for Multivariate Time Series cites this paper.

PLanTS: Periodicity-aware Latent-state Representation Learning for Multivariate Time Series Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 31

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Observation 9780c82f-8bac-4e4b-9a8f-6ad2a947bbd7 · inbound

Self-Supervised Dynamical System Representations for Physiological Time-Series cites this paper.

Self-Supervised Dynamical System Representations for Physiological Time-Series Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 18

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Concurrence: A dependence criterion for time series, applied to biological data cites this paper.

Concurrence: A dependence criterion for time series, applied to biological data Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 7

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Observation a85f7723-413d-420f-9951-9acf105bccc5 · inbound

A robust PPG foundation model using multimodal physiological supervision cites this paper.

A robust PPG foundation model using multimodal physiological supervision Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 14

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Observation ba74c5ce-2bd7-4e14-a92a-2e9a70e6c36d · inbound

Aionoscope: Debugging Latent-State Accessibility in Time-Series Representations cites this paper.

Aionoscope: Debugging Latent-State Accessibility in Time-Series Representations Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 15

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Observation 9950da09-4c72-4479-a7cc-c30036edab9c · inbound

LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning cites this paper.

LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 21

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verified exact
arxiv_id, observed 2026-07-02T15:37:06.018822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 972647d6-676a-4aa4-a2ef-97a0a16576f4 · inbound

FreSH: Frequency-Segmented Hierarchical Multi-Expert Framework for Multivariate Time Series Classification cites this paper.

FreSH: Frequency-Segmented Hierarchical Multi-Expert Framework for Multivariate Time Series Classification Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Reference 25

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