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Paper Citation Record · LEDGER

Large Language Models for Education: A Survey and Outlook

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 47 inbound Pith citation observations for arXiv:2403.18105.

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

pith.paper-citation-record.v1
2403.18105 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 47 of 47 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 47 of 47 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:31:57.128427Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

32
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6d1ba5fa-f238-4a5e-aa60-3ad5e5606653 · inbound

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection cites this paper.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Large Language Models for Education: A Survey and Outlook

Reference 61

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arxiv_id, observed 2026-05-23T20:13:24.812679Z

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=2026-05-23T20:10:59.264484Z digest=sha256:76c52e79f2672cbc246af358bf2e383196fe365aaec09fcf81da9fc7fb8c81bc

Observation 0e330830-6d24-4a0b-b67b-3d47cfcd8862 · inbound

VTutor: An Open-Source SDK for Generative AI-Powered Animated Pedagogical Agents with Multi-Media Output cites this paper.

VTutor: An Open-Source SDK for Generative AI-Powered Animated Pedagogical Agents with Multi-Media Output Large Language Models for Education: A Survey and Outlook

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:31:57.128427Z digest=sha256:8d1ea30331c0fb26e68ab84bfa55842b08a10b4fb9297e95ef43dc7066fa4c62

Observation 7f915e77-dfac-4e73-811e-5f3b0ae55fa8 · inbound

Fine-Tuned LLMs are "Time Capsules" for Tracking Societal Bias Through Books cites this paper.

Fine-Tuned LLMs are "Time Capsules" for Tracking Societal Bias Through Books Large Language Models for Education: A Survey and Outlook

Reference 67

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no resolver link, observed 2026-08-08T19:48:54.333208Z

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source=arxiv_source observed=2026-08-08T19:48:54.333208Z digest=sha256:ec6ade1b8da4d8a5bd470b9ea6664310291a2fab4bb798c800c4f91c39679195

Observation b375db63-2274-45f0-8221-f682893dec1f · inbound

Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education cites this paper.

Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education Large Language Models for Education: A Survey and Outlook

Reference 66

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no resolver link, observed 2026-08-08T17:44:36.030157Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T17:44:36.030157Z digest=sha256:41f3a5fde366908092e754666a5e2fdeb07a9212e0334e1a76d5e379ef90fc6a

Observation c90a78f6-0064-4f0b-8db8-cc2126e2c4d2 · inbound

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey cites this paper.

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey Large Language Models for Education: A Survey and Outlook

Reference 192

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no resolver link, observed 2026-08-08T19:15:25.634287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:25.634287Z digest=sha256:84f79a0879dc6f4191434632bf15a78ab37e72ca4629419f0df3244901d627d8

Observation 006e775e-3237-4f6b-aa4e-22f8cceec9cd · inbound

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation cites this paper.

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation Large Language Models for Education: A Survey and Outlook

Reference 60

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verified exact
arxiv_id, observed 2026-05-23T03:32:28.590018Z

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=2026-05-23T03:28:13.313028Z digest=sha256:03b929dfcc3404705c9d6f87af13bb0411b611780708d62a328450860e4249e1

Observation 3b2e3fdf-889b-45ba-bee4-fc1b142f60ec · inbound

In-depth Analysis of Graph-based RAG in a Unified Framework cites this paper.

In-depth Analysis of Graph-based RAG in a Unified Framework Large Language Models for Education: A Survey and Outlook

Reference 87

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arxiv_id, observed 2026-05-23T01:37:22.278790Z

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=2026-05-23T01:36:25.057478Z digest=sha256:b15b23209bdbe9ce282e3e180a8bbe3473905224fe5faf98bd274e0df0ed6cb9

Observation 390d35a6-4fc2-44a6-a133-1c6dff515802 · inbound

Beyond Answers: How LLMs Can Pursue Strategic Thinking in Education cites this paper.

Beyond Answers: How LLMs Can Pursue Strategic Thinking in Education Large Language Models for Education: A Survey and Outlook

Reference 12

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arxiv_id, observed 2026-05-22T21:07:08.065300Z

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=2026-05-22T21:06:19.625247Z digest=sha256:cff86a3ca668c5d6b81fc0a7643e1769f36bfdd191daa2e42aa91c7b6e6470b1

Observation 06eb1c66-7401-4d8f-af3e-2099d5bdf6b5 · inbound

CoTSRF: Utilize Chain of Thought as Stealthy and Robust Fingerprint of Large Language Models cites this paper.

CoTSRF: Utilize Chain of Thought as Stealthy and Robust Fingerprint of Large Language Models Large Language Models for Education: A Survey and Outlook

Reference 30

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no resolver link, observed 2026-08-07T14:59:40.059637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:59:40.059637Z digest=sha256:a00ffa41670c71702b16c4c8199a19292143dbb8ee8f29e2c962e0e9087f734d

Observation 3ebcc0ad-3ce0-40a2-acf4-5c0a654fb2d0 · inbound

From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization cites this paper.

From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization Large Language Models for Education: A Survey and Outlook

Reference 49

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no resolver link, observed 2026-08-07T14:57:41.929831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:57:41.929831Z digest=sha256:31841f1cd3623e101d4944e0a62b66611d3a46756784cc82bbdfa365e4e1e4a7

Observation 8ce565c1-2d39-495d-a15f-78984b5283c9 · inbound

Teaching Astronomy with Large Language Models cites this paper.

Teaching Astronomy with Large Language Models Large Language Models for Education: A Survey and Outlook

Reference 55

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arxiv_id, observed 2026-05-19T10:17:15.541891Z

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=2026-05-19T10:14:51.134936Z digest=sha256:dc4f5eec7f452056bcbaa1b2f24e3253b82a0f20fe83cb42d7a1de31dcd04880

Observation 01192e5b-9c2c-42d7-a3c9-0dfa3157474d · inbound

Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation cites this paper.

Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation Large Language Models for Education: A Survey and Outlook

Reference 29

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no resolver link, observed 2026-08-07T05:33:28.238648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:33:28.238648Z digest=sha256:b6743dde1a55490e1adcdb95b37e57996c5fc583f4eda3ad523fbd2a9183b0b7

Observation 868a4a6b-c993-46d6-b185-f3ccde456635 · inbound

Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic cites this paper.

Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic Large Language Models for Education: A Survey and Outlook

Reference 21

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no resolver link, observed 2026-08-07T05:19:03.831544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:19:03.831544Z digest=sha256:a6bb05a02842413e98c6ab17b1ab90d7ce237812c1fa5a29a1f7e534a1ed3a77

Observation 4d0ed851-8fcc-410a-b3e5-0eb21e02ffef · inbound

COGENT: A Curriculum-oriented Framework for Generating Grade-appropriate Educational Content cites this paper.

COGENT: A Curriculum-oriented Framework for Generating Grade-appropriate Educational Content Large Language Models for Education: A Survey and Outlook

Reference 38

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no resolver link, observed 2026-08-07T04:56:47.217712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:56:47.217712Z digest=sha256:1fe81b2a4e19035d5bcf88de64ca86fdb365bc2c7682149d7145fa08cfb65fb5

Observation be0b63c1-1c09-48ee-befc-86ad8dffd1ce · inbound

"Check My Work?": Measuring Sycophancy in a Simulated Educational Context cites this paper.

"Check My Work?": Measuring Sycophancy in a Simulated Educational Context Large Language Models for Education: A Survey and Outlook

Reference 16

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no resolver link, observed 2026-08-07T04:36:07.183140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:07.183140Z digest=sha256:f6facfee4833aaa0fdb53f412a9b25f6b8085d1512a9a3daf7fa6eeecc3fff7d

Observation 2210cf71-da4c-40ff-9f41-bf3ab00f527c · inbound

Benchmarking the Pedagogical Knowledge of Large Language Models cites this paper.

Benchmarking the Pedagogical Knowledge of Large Language Models Large Language Models for Education: A Survey and Outlook

Reference 25

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no resolver link, observed 2026-08-06T23:20:19.392025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:19.392025Z digest=sha256:8c82397f9d899421b37235dc30760a27bc8fb7d89e55a46e55e23a3629a78180

Observation d98c47db-e4c8-4d0f-ae93-9fefb89097d5 · inbound

FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring cites this paper.

FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring Large Language Models for Education: A Survey and Outlook

Reference 49

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no resolver link, observed 2026-08-06T23:12:14.471945Z

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source=arxiv_source observed=2026-08-06T23:12:14.471945Z digest=sha256:d204645b3e5a8077161ccc91d8b1480985c9c0dd5a56ec7f84fcd61015109c95

Observation ed148836-1467-44f8-9608-7a2771255ab5 · inbound

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics cites this paper.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Large Language Models for Education: A Survey and Outlook

Reference 24

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no resolver link, observed 2026-08-06T22:18:19.538903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:19.538903Z digest=sha256:d1f96b25317b4f0db0f319e42fb974ad2b07e103e5351840dcc175c28135d870

Observation 2e61f44b-2a3f-4bb2-b33c-363f00461fa6 · inbound

Insights in Adaptation: Examining Self-reflection Strategies of Job Seekers with Visual Impairments in India cites this paper.

Insights in Adaptation: Examining Self-reflection Strategies of Job Seekers with Visual Impairments in India Large Language Models for Education: A Survey and Outlook

Reference 143

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no resolver link, observed 2026-08-06T22:04:04.414280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:04.414280Z digest=sha256:f13c26afd745bc7103c4d88ac2bc9bb6e977e41f8400ed65690ef93311153d2c

Observation c46ba7f4-1cea-47b2-9656-bb3f14687530 · inbound

Can LLMs Reliably Simulate Real Students' Abilities in Mathematics and Reading Comprehension? cites this paper.

Can LLMs Reliably Simulate Real Students' Abilities in Mathematics and Reading Comprehension? Large Language Models for Education: A Survey and Outlook

Reference 29

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no resolver link, observed 2026-08-06T18:31:58.869926Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:31:58.869926Z digest=sha256:06408b4130a99537195b1d1fdafd8665cc3126875c869720d14e91a94a1dafab

Observation 15550bd7-0c18-4475-92d5-a66febdfd967 · inbound

Simplifications are Absolutists: How Simplified Language Reduces Word Sense Awareness in LLM-Generated Definitions cites this paper.

Simplifications are Absolutists: How Simplified Language Reduces Word Sense Awareness in LLM-Generated Definitions Large Language Models for Education: A Survey and Outlook

Reference 4

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malformed identifier
no resolver link, observed 2026-08-06T17:04:41.959599Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:41.959599Z digest=sha256:07672a4a9b5799f6be13e86d923cb67a7f11ca8e984f57e798ade6ea569467ef

Observation d97a4568-e49b-432c-8f90-303bdcd819a4 · inbound

AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education cites this paper.

AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education Large Language Models for Education: A Survey and Outlook

Reference 23

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no resolver link, observed 2026-08-06T17:29:28.122626Z

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source=pdf_text observed=2026-08-06T17:29:28.122626Z digest=sha256:2724236178a56a282735e9e444de1187bc550bcd4b951bec50ff95bac0a01e13

Observation 3413d6a4-733c-4b9c-a08e-e35f5047d21c · inbound

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis cites this paper.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Large Language Models for Education: A Survey and Outlook

Reference 25

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no resolver link, observed 2026-08-06T04:35:32.045533Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:32.045533Z digest=sha256:b0862fc7741b40a42eca5f837efd6dd191d2d66f661d6f7812d49383ed085f26

Observation 9ae986b3-f6bf-47cf-aed2-a1227ea48767 · inbound

From Misunderstandings to Learning Opportunities: Leveraging Generative AI in Discussion Forums to Support Student Learning cites this paper.

From Misunderstandings to Learning Opportunities: Leveraging Generative AI in Discussion Forums to Support Student Learning Large Language Models for Education: A Survey and Outlook

Reference 15

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no resolver link, observed 2026-08-05T20:08:57.082673Z

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source=pdf_text observed=2026-08-05T20:08:57.082673Z digest=sha256:dee849de4655936416cb0f5851e74b6e306e5d8f9644d8761344b4ff3a11b661

Observation f9a06209-7338-4a29-80d1-b04f94f050a3 · 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 and Outlook

Reference 39

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no resolver link, observed 2026-08-05T18:37:07.710276Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:37:07.710276Z digest=sha256:8bafcd0ef37b4434ae6acd5cd8cd5188272e6017c7bf930a35544795ebada1a8

Observation 59cf3a8f-6b1a-47eb-9788-45c7d9325584 · inbound

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses cites this paper.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Large Language Models for Education: A Survey and Outlook

Reference 9

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no resolver link, observed 2026-08-04T21:02:41.682979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:02:41.682979Z digest=sha256:fa5b029a4c4a2fd92d160c3fc0dc54aedbd1adc356f0f465c8754dbbc3241ee7

Observation 4cb46446-d5f1-408d-807f-385698cd3b87 · inbound

Limitations on Accurate, Trusted, Human-level Reasoning cites this paper.

Limitations on Accurate, Trusted, Human-level Reasoning Large Language Models for Education: A Survey and Outlook

Reference 1

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verified exact
arxiv_id, observed 2026-05-18T13:41:25.382791Z

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=2026-05-18T13:40:56.462752Z digest=sha256:b0af134094da38c5216f47932eb79e88c01656073ca81fef5d8e61f3c938b696

Observation 7dfacc55-0855-462e-8fd4-baa7bb725f67 · inbound

Towards Understanding, Analyzing, and Optimizing Agentic AI Execution: A CPU-Centric Perspective cites this paper.

Towards Understanding, Analyzing, and Optimizing Agentic AI Execution: A CPU-Centric Perspective Large Language Models for Education: A Survey and Outlook

Reference 37

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verified exact
arxiv_id, observed 2026-05-18T00:55:33.395111Z

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=2026-05-18T00:55:14.213746Z digest=sha256:2ea6ccc9170d90c640e1482aba6bd5dbace833717e11238e37766a033790e2c4

Observation dba846ab-0038-48e9-9a4c-7b2b7172626f · 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 Large Language Models for Education: A Survey and Outlook

Reference 23

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verified exact
arxiv_id, observed 2026-05-16T22:53:38.397256Z

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=2026-05-16T22:52:32.629737Z digest=sha256:501be9771932e3228dcbc8e8cb3d1f307edbec62412fccfa0d245ba41a6a3b00

Observation f767ff1f-d63f-4191-b6c7-3037ceda5ba3 · inbound

Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution cites this paper.

Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution Large Language Models for Education: A Survey and Outlook

Reference 5

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metadata mismatch
arxiv_id, observed 2026-05-16T23:21:21.461952Z

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=2026-05-16T23:19:22.033431Z digest=sha256:ca9d5b06096e4b28b17a521a71f23ea00e9824d48be9f016f3a34732852b311b

Observation 5ad59d58-83d9-49b4-a128-4cc08b8f7faa · inbound

Beyond Grading Accuracy: Exploring Alignment of TAs and LLMs cites this paper.

Beyond Grading Accuracy: Exploring Alignment of TAs and LLMs Large Language Models for Education: A Survey and Outlook

Reference 24

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unresolved
no resolver link, observed 2026-07-13T23:49:35.266340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:49:35.266340Z digest=sha256:3d75cd8383f3392c29b6cad3548417554461708ef64220651e0917a7d5525271

Observation 0e96f1de-146a-49b8-9d95-298e2771deec · inbound

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework cites this paper.

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework Large Language Models for Education: A Survey and Outlook

Reference 98

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verified exact
arxiv_id, observed 2026-05-13T22:08:20.942170Z

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=2026-05-13T22:03:55.582645Z digest=sha256:fc32a9a141f6ff629fbb8babfa5add43929da5f8d66913bb55e894ca71cb810e

Observation 03bf3d27-fcf5-4d9e-b8ea-21b5db4790aa · inbound

MisEdu-RAG: A Misconception-Aware Dual-Hypergraph RAG for Novice Math Teachers cites this paper.

MisEdu-RAG: A Misconception-Aware Dual-Hypergraph RAG for Novice Math Teachers Large Language Models for Education: A Survey and Outlook

Reference 27

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metadata mismatch
arxiv_id, observed 2026-05-13T17:38:02.963654Z

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=2026-05-13T17:33:45.614925Z digest=sha256:0be7cf7c02911ea26a388abdc7a81da8f81bccbe627eb47af4d5323dc8adfae3

Observation 70ee9ede-10e7-45ea-b713-dba39a844d37 · inbound

ARIA: Adaptive Retrieval Intelligence Assistant -- A Multimodal RAG Framework for Domain-Specific Engineering Education cites this paper.

ARIA: Adaptive Retrieval Intelligence Assistant -- A Multimodal RAG Framework for Domain-Specific Engineering Education Large Language Models for Education: A Survey and Outlook

Reference 31

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verified exact
arxiv_id, observed 2026-05-16T07:52:32.997497Z

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=2026-05-16T07:51:15.864907Z digest=sha256:a1c1cef8130eb460fa8336242c094511dfe3352ee364b7ecde6580befa56a7d2

Observation 2b04cd77-90d9-4733-809c-be155c53c617 · inbound

Are LLMs Ready for Computer Science Education? A Cross-Domain, Cross-Lingual and Cognitive-Level Evaluation Using Professional Certification Exams cites this paper.

Are LLMs Ready for Computer Science Education? A Cross-Domain, Cross-Lingual and Cognitive-Level Evaluation Using Professional Certification Exams Large Language Models for Education: A Survey and Outlook

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:51:11.230465Z

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=2026-05-10T17:54:24.204014Z digest=sha256:c08af28b0c4f11ef25130d9b0d42d6a46f5b60bba1d388583db0936263190db1

Observation 53e4fd4a-f2e0-4356-a178-37eb3c10f2a5 · inbound

Designing Safe and Accountable GenAI as a Learning Companion with Women Banned from Formal Education cites this paper.

Designing Safe and Accountable GenAI as a Learning Companion with Women Banned from Formal Education Large Language Models for Education: A Survey and Outlook

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:06:01.699816Z

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=2026-05-10T17:18:30.908712Z digest=sha256:cbe7593e3d31df829d5030af3a7548423cfb1119becbf220e8cd30f227359061

Observation 822457e3-f6a0-4e07-84cb-d37546be5661 · inbound

Towards Personalizing Secure Programming Education with LLM-Injected Vulnerabilities cites this paper.

Towards Personalizing Secure Programming Education with LLM-Injected Vulnerabilities Large Language Models for Education: A Survey and Outlook

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:35:26.894134Z

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=2026-05-10T13:01:11.599763Z digest=sha256:c76815560258695dc988dd92ea5f4661194597748898580f9977d6d2a3484ad8

Observation 370009ca-95d6-428a-a5d2-ff1e9fcf465a · inbound

What is (H)CI: Why Does the "Human'' Matter? cites this paper.

What is (H)CI: Why Does the "Human'' Matter? Large Language Models for Education: A Survey and Outlook

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T20:52:59.523065Z

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=2026-05-09T20:49:04.642215Z digest=sha256:2c3a22cce57984b16cdf872d28e62c6155714c86fc8961a9d4bb8b59fbc2563d

Observation 6f1cda0b-dab3-4cae-88cb-caea407ec046 · inbound

Design Principles and Observable Indicators for AI-Enabled Pedagogical Accompaniment: Evidence from the Amico Dual-Mode Prototype in Italy and China cites this paper.

Design Principles and Observable Indicators for AI-Enabled Pedagogical Accompaniment: Evidence from the Amico Dual-Mode Prototype in Italy and China Large Language Models for Education: A Survey and Outlook

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:13:56.625120Z

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=2026-05-21T04:12:49.374551Z digest=sha256:37042122cdd0e14aa8d00b307db4ae858b8df99e62208129e20138a1c9d9b30e

Observation f9eff013-1bff-478f-bee6-9edec7c55911 · inbound

Double-Edged Sword or Sharp Tool? Designing and Evaluating Triadic LLM-Teacher Collaboration for K-12 Writing at Scale cites this paper.

Double-Edged Sword or Sharp Tool? Designing and Evaluating Triadic LLM-Teacher Collaboration for K-12 Writing at Scale Large Language Models for Education: A Survey and Outlook

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:23:12.419992Z

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=2026-06-29T07:23:05.554658Z digest=sha256:f2001902e4f592d1ea84a7c1d066a28fac5bf658c2757aaae9fb17d0d725b7f6

Observation 2d4bc577-29a7-4369-9f31-09f3eb5ace78 · inbound

Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation cites this paper.

Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation Large Language Models for Education: A Survey and Outlook

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T21:16:13.483906Z

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=2026-06-28T17:25:32.707733Z digest=sha256:99cb845a85e5ca25c0ac2dbad23b77c6c2e3c4bf529527693b1fd6fa4dbd1a38

Observation ae9c67e5-c939-4e8e-aac3-7743bd3879d8 · inbound

AI Assistance for Discretionary Work: Increasing Feedback Provision in Higher Education cites this paper.

AI Assistance for Discretionary Work: Increasing Feedback Provision in Higher Education Large Language Models for Education: A Survey and Outlook

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T04:46:37.989500Z

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=2026-06-28T08:53:52.383358Z digest=sha256:e4b642fca52bac1a1aae5f59fc7c5bbae48f525b2e58002cc252f5e1676a4e94

Observation 79d1176b-2e32-4093-a2e1-909c03089dc2 · inbound

Lect\=uraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching cites this paper.

Lect\=uraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching Large Language Models for Education: A Survey and Outlook

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:28:44.561176Z

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=2026-06-27T04:07:53.880219Z digest=sha256:c260084f7a0c6b914d2a402e0399d57aba604f20b86a03a8156d699be386f81a

Observation 4715da5d-3d04-46a1-9a88-92abdc4bedec · 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 and Outlook

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T07:45:29.228518Z

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=sha256:259e2510193d0df803220c17bf61d3a77171acf9ff4188e865aa0c2622346b2c

Observation 843e1daf-2081-40c3-9368-35864864401f · inbound

Beyond Semantic Equivalence: Logical Graphs for LLM Uncertainty Quantification cites this paper.

Beyond Semantic Equivalence: Logical Graphs for LLM Uncertainty Quantification Large Language Models for Education: A Survey and Outlook

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-01T19:47:00.827660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:47:00.827660Z digest=sha256:df775b10f2f45a374edb60ad10734515918363875e1f7cd4b29ceb7b28da171b

Observation 390f0c41-6019-48cc-895d-beb02767722d · inbound

How Jailbreak Attacks Inform Safety Alignment: A Defender-Centric, Shapley-Based Evaluation of Jailbreak Contributions cites this paper.

How Jailbreak Attacks Inform Safety Alignment: A Defender-Centric, Shapley-Based Evaluation of Jailbreak Contributions Large Language Models for Education: A Survey and Outlook

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-01T18:54:57.992768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:54:57.992768Z digest=sha256:edd0571f80a42634d6db42b3a1112c612b7102cfa27f0f05040b4419ada71a67

Observation 5e2f4024-2500-40f6-897b-f0e09a600461 · inbound

EduZone: A Framework for Evaluating LLM Safety for K-12 Students and Teachers cites this paper.

EduZone: A Framework for Evaluating LLM Safety for K-12 Students and Teachers Large Language Models for Education: A Survey and Outlook

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-04T16:29:17.513581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:29:17.513581Z digest=sha256:7ad35db6a6a8639a3ccc3b20d5a0fe23322922dd6081fcf678130a46198d2636