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Paper Citation Record · LEDGER

On the application of Large Language Models for language teaching and assessment technology

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2307.08393.

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

pith.paper-citation-record.v1
2307.08393 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 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:05:38.111972Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T22:53:38.324997Z

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 ca9bb428-2381-4543-908b-8d7f698a2aa9 · inbound

Generating AI Literacy MCQs: A Multi-Agent LLM Approach cites this paper.

Generating AI Literacy MCQs: A Multi-Agent LLM Approach On the application of Large Language Models for language teaching and assessment technology

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T04:51:03.979111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:51:03.979111Z digest=sha256:30db7ba23eb8312b88f32f1b9cbac8ef3d1e1517396af6510a82d4307da594ef

Observation a5217971-165e-447c-9f5d-fcd9b0270442 · inbound

A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education cites this paper.

A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education On the application of Large Language Models for language teaching and assessment technology

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T21:20:23.406460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:20:23.406460Z digest=sha256:5b63316b9bc97dce2c1d5e5b26871c13fa366ea49dd5b0065958b5c9e62b9585

Observation 848e869b-8619-4fcd-8a16-1e6fbc2858de · inbound

Position: LLMs Can be Good Tutors in English Education cites this paper.

Position: LLMs Can be Good Tutors in English Education On the application of Large Language Models for language teaching and assessment technology

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:25.725511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:25.725511Z digest=sha256:fe82f3bdd3f12e91dd36e1d7e3607f6ebc945d5a035d8d873639ad89ed7f9737

Observation 37c0d385-6fa2-4965-8bc4-1b1849564b8b · inbound

Enhancing LLM Character-Level Manipulation via Divide and Conquer cites this paper.

Enhancing LLM Character-Level Manipulation via Divide and Conquer On the application of Large Language Models for language teaching and assessment technology

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T10:10:44.356016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T10:10:44.356016Z digest=sha256:42d1d3089c29a7e7724ae1cbb52985c9708c09d7a15c8166ec9e0990a8825630

Observation d657b0f6-b925-4fb4-8850-19ea810e9dea · inbound

Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction cites this paper.

Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction On the application of Large Language Models for language teaching and assessment technology

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T04:54:01.814978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:54:01.814978Z digest=sha256:7c9df077ca94d62e36cb2ca7a00671bdeee3add75ecd74bf62b5bb203008923f

Observation 129e8b9a-5747-46db-a606-0840bbea4cbf · inbound

An overview of artificial intelligence in computer-assisted language learning cites this paper.

An overview of artificial intelligence in computer-assisted language learning On the application of Large Language Models for language teaching and assessment technology

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-16T04:05:38.111972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:05:38.111972Z digest=sha256:a290e5e5b397a6c500fd049182b2881a0fddf23a1ed86c8535edac404f60c7dc

Observation 41ae0ff6-a166-4430-9729-936c34dbf17d · inbound

Superstudent intelligence in thermodynamics cites this paper.

Superstudent intelligence in thermodynamics On the application of Large Language Models for language teaching and assessment technology

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:07.735430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:46:07.735430Z digest=sha256:0120cb1e4f7fc3608089fd89722766a08a79b66c7601db7c3383e97a8f1cdd5a

Observation c2582aa1-e0e2-4b05-9858-a76bd1fef23e · inbound

Enhancing Large Language Model-Based Systems for End-to-End Circuit Analysis Problem Solving cites this paper.

Enhancing Large Language Model-Based Systems for End-to-End Circuit Analysis Problem Solving On the application of Large Language Models for language teaching and assessment technology

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:53:38.328518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T22:52:32.629737Z digest=sha256:54d31c8d28a487af8e2aad80ce1a2c12bb74c0a9acd5e44eda2f908e782ef10f