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Paper Citation Record · LEDGER

Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:22.814651Z

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

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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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 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

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:47.809996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:47.809996Z digest=sha256:2b3f7a173e9c5bfb773a2e976f03f3481ad6d0af7ed50e2c20a7e5b5b48a6dc1

Observation 6a58d2a3-a063-4da4-9560-c4266009c79b · inbound

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:22.814651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:22.814651Z digest=sha256:80f1a72a5954650861e15c592c0771d893e4151a4dda0b0e25d1c66036f87a74

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:42:42.295907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:42:42.295907Z digest=sha256:a8e28852255a6fa2469355acae2705f9f8c76d9e89450bf123b1d9c3220b5acf

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

Resolution
unresolved
no resolver link, observed 2026-08-06T15:50:51.741649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:50:51.741649Z digest=sha256:d9bab9a123a4d103c685671d6de332c1005b67c0d15cf43d062e7ad6fc41b91e

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

Resolution
unresolved
no resolver link, observed 2026-08-05T05:29:53.582320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:29:53.582320Z digest=sha256:de01381c36c97f42d7824bbbb6628df8ff1c6c3c621f8d0324ce0fe4407564e0

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

Resolution
unresolved
no resolver link, observed 2026-08-03T19:34:05.637686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 731e70ad-dda0-43c3-989c-efa395966178 · inbound

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

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:08:32.597358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T21:06:39.731162Z digest=sha256:8d2c6e4d307b640d78a2c6e12e5945f45a7ddcf9d2987681cbda99092c0f2161

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

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:47:10.220589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T22:20:51.569973Z digest=sha256:82b7b607ad755be1523b7c43f75392389431b7389f05fff95b18b4f2eeb20103

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

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:37:05.848501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T15:35:25.976071Z digest=sha256:697abbc55ed0bc20eac39c846b66930f756954da229d333fe2869273553772a7

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

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