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Paper Citation Record · LEDGER

Large Language Models for Education: A Survey

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:54:31.021005Z

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 2ede137d-54f0-465f-8f25-45c8fe67ec5f · inbound

Assessing Personalized AI Mentoring with Large Language Models in the Computing Field cites this paper.

Assessing Personalized AI Mentoring with Large Language Models in the Computing Field Large Language Models for Education: A Survey

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T17:54:31.021005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:54:31.021005Z digest=sha256:9d38ff93d20a665e7a53bdce1748f77b4b74a0b04787df9b247580180754de3b

Observation 754c6ff5-4ae0-446d-952e-99689fda26a8 · inbound

CyberMentor: AI Powered Learning Tool Platform to Address Diverse Student Needs in Cybersecurity Education cites this paper.

CyberMentor: AI Powered Learning Tool Platform to Address Diverse Student Needs in Cybersecurity Education Large Language Models for Education: A Survey

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T19:47:05.419520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:47:05.419520Z digest=sha256:e5addacdfeeff94df5abae460ba5dcbaac1cbf15bd0f99643a349b837444c028

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=sha256:7005348977e7a6c715addc82e2d95fdca00239432c09584580b735521cfc522d

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=sha256:11533cd432f0bd59a4d719c43ced00da2d9c86b6cf5e4c713b6f55eea2f4408c

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:c9aa66f33b9bfe95de34732ceea1912fc16562de6689c6f226d846ac0521b657

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:a9c08afdc57d9ffc48a4f735d6ee442c43c742317800e955471551cd52264f9a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T19:28:03.943480Z digest=sha256:344f9c80995342feb3c18e1c95ab0dad0c868fb1d0264f8183853dff9e771300

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-11T01:02:49.813751Z digest=sha256:c35cc4c77c346b6de04100f18a3f1df8efb6a51211900428ee62c784c75de40e

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T06:44:32.553898Z digest=sha256:c156d3ae293c57bb47cd15958ef5e6f677d04724781e1ee045e2afad4d69350b

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-01T07:45:22.445395Z digest=sha256:818695684b614c8cfe9c172cf36844f1a525fed831bb9fabc4952842fe11779e