Paper Citation Record · LEDGER

LERT: A Linguistically-motivated Pre-trained Language Model

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2211.05344.

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

pith.paper-citation-record.v1
2211.05344 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:07:27.361636Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T05:55:56.675488Z

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 1b2ddf13-3f91-476f-a69a-e7d0b88c8462 · inbound

Learning from Impairment: Leveraging Insights from Clinical Linguistics in Language Modelling Research cites this paper.

Learning from Impairment: Leveraging Insights from Clinical Linguistics in Language Modelling Research LERT: A Linguistically-motivated Pre-trained Language Model

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T11:07:27.361636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74d01143-b5bd-4915-b3b4-f4f5eba39be6 · inbound

EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations cites this paper.

EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations LERT: A Linguistically-motivated Pre-trained Language Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:23.490608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9b8239b-e16b-4e62-a6d9-e8ce920ddc66 · inbound

Vocab Diet: Reshaping the Vocabulary of LLMs via Vector Arithmetic cites this paper.

Vocab Diet: Reshaping the Vocabulary of LLMs via Vector Arithmetic LERT: A Linguistically-motivated Pre-trained Language Model

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:55:56.680042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1a511198-73f8-4c30-b3ac-b6431d63fc61 · inbound

Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning Tasks cites this paper.

Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning Tasks LERT: A Linguistically-motivated Pre-trained Language Model

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:21:05.662891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.