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Paper Citation Record · LEDGER

Gated Transformer Networks for Multivariate Time Series Classification

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2103.14438.

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

pith.paper-citation-record.v1
2103.14438 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:55:52.579668Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T15:34:47.836163Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 7440e487-37f4-4650-9c4e-2b4f1c76eea8 · inbound

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics cites this paper.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Gated Transformer Networks for Multivariate Time Series Classification

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-09T21:55:52.579668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:55:52.579668Z digest=sha256:c41fa8f2af463a831cc8acba134eabcf99455427941af48f744f137d0fd79d29

Observation 41d51a2e-80d4-4613-ad66-660e736bef2c · inbound

Positional Encoding in Transformer-Based Time Series Models: A Survey cites this paper.

Positional Encoding in Transformer-Based Time Series Models: A Survey Gated Transformer Networks for Multivariate Time Series Classification

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:25:19.159885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T02:24:50.389349Z digest=sha256:93f0a5ac85c17685d51a669c49f5dbe070a0bafa17885cb79eb80dcc01c4158b

Observation 2663b9ce-b450-4293-a3f7-fc78637e6952 · inbound

DyWPE: Signal-Aware Dynamic Wavelet Positional Encoding for Time Series Transformers cites this paper.

DyWPE: Signal-Aware Dynamic Wavelet Positional Encoding for Time Series Transformers Gated Transformer Networks for Multivariate Time Series Classification

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T15:36:34.052543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T15:35:05.296777Z digest=sha256:b679194b56cdee1bbe3419d4139b231a40845bc69659fd15070d586d9c15c490

Observation b3d53881-f29b-4f31-b5cd-9505e9bb1760 · inbound

InstructTime++: Time Series Classification with Multimodal Language Modeling via Implicit Feature Enhancement cites this paper.

InstructTime++: Time Series Classification with Multimodal Language Modeling via Implicit Feature Enhancement Gated Transformer Networks for Multivariate Time Series Classification

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T09:05:26.645474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:05:26.645474Z digest=sha256:0e130617bbc2130456450870ca6b4aa790f3f1094337d47ef2c1e3337f436071

Observation c1200095-7e0c-4e43-8746-09587bdf2ac8 · inbound

You Don't Need Attention: Gated Convolutional Modeling for Watch-Based Fall Detection cites this paper.

You Don't Need Attention: Gated Convolutional Modeling for Watch-Based Fall Detection Gated Transformer Networks for Multivariate Time Series Classification

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T08:14:03.261008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T08:10:40.268784Z digest=sha256:e5fa9f7d101fc8ffbe6beca5ed84b9bd6d0c6356a86df48c3baf3a00794b0a2e

Observation e3eb3fef-0854-490c-8d62-de9260654056 · inbound

GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery cites this paper.

GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery Gated Transformer Networks for Multivariate Time Series Classification

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:44:42.768887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T07:42:29.916098Z digest=sha256:e0fd0ca98dbecbe37003f7afcec5f07cf8ba6c33279a2325c3746950b955ea9f

Observation a69e8e9b-e8a5-4b42-8efe-5bfd17a4e21a · inbound

DAStatFormer: A Hybrid Multibranch Transformer with Statistical Feature Integration for DAS-Based Pattern Recognitions cites this paper.

DAStatFormer: A Hybrid Multibranch Transformer with Statistical Feature Integration for DAS-Based Pattern Recognitions Gated Transformer Networks for Multivariate Time Series Classification

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:34:47.837735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T15:34:13.387628Z digest=sha256:156d5ab6cd316f86dec15a883600cf98424ef4e3b4c690a593912641c41351fc

Observation 053858a4-c8a5-46ef-868b-8e8f05b5320d · inbound

HealthCAT: An Interpretable Encoder-only Transformer Framework for Health Indicator Prediction and Temporal Interpretation of Wearable Sensor Data cites this paper.

HealthCAT: An Interpretable Encoder-only Transformer Framework for Health Indicator Prediction and Temporal Interpretation of Wearable Sensor Data Gated Transformer Networks for Multivariate Time Series Classification

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T04:27:09.187995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:27:09.187995Z digest=sha256:207ff32e0db73a1ecc3ce9d60472b3b859396a7d12e4f964b07329aa037ccf57