Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2108.05542.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:07:17.101094Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T17:05:24.195161Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation ebfdee56-9794-4e77-bb9d-9150aae21f0a · inbound
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
Reference 9
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.
Observation ffc496d2-4286-4a0b-95b9-0620d40ba717 · inbound
Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb66e313-a6fb-417f-9d8a-0f8909539080 · inbound
Brain Network Analysis Based on Fine-tuned Self-supervised Model for Brain Disease Diagnosis AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
Reference 40
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b4f26f5-2fc9-4b3f-babb-3cb84fa055d9 · inbound
Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98196713-bbf3-4ba7-a1ad-5230991ed614 · inbound
A Hybrid Framework for Subject Analysis: Integrating Embedding-Based Regression Models with Large Language Models AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6eaf4dc-263d-4407-b688-20dd31d51257 · inbound
Human-Centered Supervision for Sentiment Analysis in Telugu: A Systematic Inquiry Beyond Accuracy AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
Reference 27
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.
Observation 4cd682ae-1352-45d6-956a-5400cea40706 · inbound
A Simple but Efficient Transformer-Based Physics-Informed Neural Network for Incompressible Navier--Stokes Equations AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
Reference 41
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.
Observation 32b5c5a2-e2d0-41ff-8c51-1511a2e838ef · inbound
Semantic Homogenization in Italian Popular Music: A Diachronic Analysis AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.