Paper Citation Record · LEDGER

AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2108.05542.

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

pith.paper-citation-record.v1
2108.05542 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:34:25.145484Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T17:05:24.195161Z

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 ebfdee56-9794-4e77-bb9d-9150aae21f0a · inbound

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers cites this paper.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T19:17:50.735514Z

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.

Observation 1b8294bd-2b90-4236-9766-1a3015d364d7 · inbound

Explainability in Practice: A Survey of Explainable NLP Across Various Domains cites this paper.

Explainability in Practice: A Survey of Explainable NLP Across Various Domains AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-09T17:34:25.145484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffc496d2-4286-4a0b-95b9-0620d40ba717 · inbound

Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks cites this paper.

Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:17.101094Z

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 cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:47.294186Z

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 cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T19:08:26.581979Z

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 cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T15:55:33.474366Z

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 cites this paper.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T00:56:56.239583Z

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.

Observation 4cd682ae-1352-45d6-956a-5400cea40706 · inbound

A Simple but Efficient Transformer-Based Physics-Informed Neural Network for Incompressible Navier--Stokes Equations cites this paper.

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

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:05:24.198745Z

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.

Observation 32b5c5a2-e2d0-41ff-8c51-1511a2e838ef · inbound

Semantic Homogenization in Italian Popular Music: A Diachronic Analysis cites this paper.

Semantic Homogenization in Italian Popular Music: A Diachronic Analysis AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T12:49:21.657332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.