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Paper Citation Record · LEDGER

Large Language Models for Education: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.13001.

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

pith.paper-citation-record.v1
2405.13001 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 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:08:09.721786Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:08:32.669908Z

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 ea66a74f-531b-4e5f-bccd-2d916d877e01 · inbound

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents cites this paper.

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents Large Language Models for Education: A Survey

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:09.721786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:08:09.721786Z digest=sha256:806a23452a9e1b5761029db5688d206e79bcfc344345cb1ddd0ca708ddce8d29

Observation f9ffddd8-a84e-46b1-80d2-27a4a15d89e6 · inbound

The Revolution Has Arrived: What the Current State of Large Language Models in Education Implies for the Future cites this paper.

The Revolution Has Arrived: What the Current State of Large Language Models in Education Implies for the Future Large Language Models for Education: A Survey

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T20:38:10.034271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:38:10.034271Z digest=sha256:90b4974a649abab313e6a7ee3d8fb236c68c7d554a0593e50e315529bb640471

Observation c3d1158e-d95c-4f48-812d-4e3202c345b8 · inbound

ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities cites this paper.

ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities Large Language Models for Education: A Survey

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T18:37:08.435245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:37:08.435245Z digest=sha256:d1f214a661bf00fa4bf41e57664610fdca5ad6db42eef6ac095c2c111b919b7a

Observation 7d2cda19-3588-4ea9-bd30-bac0bad81db3 · inbound

Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities cites this paper.

Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities Large Language Models for Education: A Survey

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-04T19:59:17.299083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:59:17.299083Z digest=sha256:3d407ca32c0a376a0125b382274e82819c029471163293b7f741e2cd3a5ef8e0

Observation 6310a537-b3d3-4c87-b205-8da8e210cfa3 · inbound

BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation cites this paper.

BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation Large Language Models for Education: A Survey

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:30:16.693166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T19:28:03.943480Z digest=sha256:5fd74ed4c882b93327fc753adb1f9a2f997f3d5f5f4aadc443cd799620f3a027

Observation 7af8ed22-97bc-40b1-bda6-0c9a0564e603 · inbound

Bridging Textual Profiles and Latent User Embeddings for Personalization cites this paper.

Bridging Textual Profiles and Latent User Embeddings for Personalization Large Language Models for Education: A Survey

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:56.706471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T01:02:49.813751Z digest=sha256:8273dd45a2c96e440fe6d59f92d7e1774b6f3e6cb159af487e29469737c72cae

Observation 10bdcf44-e5b0-4681-a64a-0092d79b5c63 · inbound

Polar: A Benchmark for Evaluating Political Bias in LLMs cites this paper.

Polar: A Benchmark for Evaluating Political Bias in LLMs Large Language Models for Education: A Survey

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:08:32.671398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T06:44:32.553898Z digest=sha256:b4ae6fedfa05a71c29bb48280b65fbe5f87e3f2199ea39a12ca0f9861a16a028

Observation ba0e08dd-f9ab-4459-a593-d19bce7ec596 · inbound

ELEVATE: Designing Human-Centered GenAI Virtual Tutors for Scalable and Inclusive Education cites this paper.

ELEVATE: Designing Human-Centered GenAI Virtual Tutors for Scalable and Inclusive Education Large Language Models for Education: A Survey

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:45:29.222967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T07:45:22.445395Z digest=sha256:4201d54384c706fc4623773a949df7b2e0b814c9cedc989964ce75dbdf6648dd