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Paper Citation Record · LEDGER

Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs

As of 20 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2505.10074.

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

pith.paper-citation-record.v1
2505.10074 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:21:24.814019Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 760d5644-caa7-4fc5-9de6-129c7c626055 · outbound

This paper cites LLM-Assisted Knowledge Graph Completion for Curriculum and Domain Modelling in Personalized Higher Education Recommendations.

Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs LLM-Assisted Knowledge Graph Completion for Curriculum and Domain Modelling in Personalized Higher Education Recommendations

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T21:21:24.921623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:21:24.757475Z digest=sha256:08c38e79cd3a7484cf2f89fc247237bc27428dd5f00ec9f0e9f4e98da0e9930d

Observation 73b39b6c-e500-4e21-be3a-501c8185a4ba · outbound

This paper cites Information 14(10), 526 (2023).

Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs Information 14(10), 526 (2023)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:21:25.027450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:21:24.762976Z digest=sha256:7d5332b8d64c43a693b4af772d00c6f462c2e0940ac12856187156a9441bf42d

Observation fdcb2c59-2db1-4a68-8fdb-a6af97a68150 · outbound

This paper cites In: Proceedings of the 14th International Conference on Education Technology and Computers.

Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs In: Proceedings of the 14th International Conference on Education Technology and Computers

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T21:21:24.767484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:21:24.767484Z digest=sha256:e6cc6524efb5d014102fa91f3e205d3b3d82d488dbb583e301bb921d5fdb2d9a

Observation 088202c7-7ff2-48ea-a366-3371f295e65a · outbound

This paper cites an unresolved cited work.

Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:21:25.004445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:21:24.771964Z digest=sha256:25ddfc0d7edd3e1d9eef1c68e00dfa9fb941db632911e6121afd70ffad1848fd

Observation ad362c71-2060-41e1-babf-e8d02adf4a45 · outbound

This paper cites EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education.

Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T21:21:24.776406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:21:24.776406Z digest=sha256:8e241897f2d75e47c589d79d85b8f9bfd3986ba3f7f19f909ea40f2dfc162db4

Observation 1bdeca53-a0b5-45eb-ae33-a02137d4e0f9 · outbound

This paper cites QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation.

Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T21:21:24.781500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:21:24.781500Z digest=sha256:724203a8fecea5d96ff16440577e9e0f38cbe29c3d8920fc11f3c579e16f88e8

Observation 9de57a76-2d40-428a-9905-7c7d8983d2a9 · outbound

This paper cites Sustainable Operations and Computers 3, 275–285 (2022).

Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs Sustainable Operations and Computers 3, 275–285 (2022)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:21:24.989748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:21:24.786979Z digest=sha256:a2428ad88a9043c0da26a069b7c9da52c5bb18d13610487dc37d3dfacd96bcb8

Observation be31cdc4-96c7-45db-a281-c19b4530aea5 · outbound

This paper cites a factor analytical approach.

Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs a factor analytical approach

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:21:24.976465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:21:24.791496Z digest=sha256:610e2eca61a535411d04848c4e9182310786eedd589d72b26b66e6d269e53fd2

Observation ae0d66c0-1079-4e4a-ae7e-2fe3cc91b373 · outbound

This paper cites In: International Conference on Artificial Intelligence in Education.

Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs In: International Conference on Artificial Intelligence in Education

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:21:24.963342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:21:24.795808Z digest=sha256:30dc382acf9bc42308da6e9cb5aa872f320c6b9fc3f1ac5d0580bc47c561a08a

Observation 4540b8d2-9062-48ba-929a-3c08f16f06e4 · outbound

This paper cites In: Proceedings of the 55th ACM Technical Symposium on Computer Science Ed- ucation V.

Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs In: Proceedings of the 55th ACM Technical Symposium on Computer Science Ed- ucation V

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:21:24.949401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:21:24.800076Z digest=sha256:25ca3a495173baeec8ab22831c53c7cac9db4a1cd76e176a2b25914c13f1cd6e

Observation 9957d378-d37b-409f-84b6-c5716eb68196 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs A Comprehensive Overview of Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T21:21:24.803832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:21:24.803832Z digest=sha256:71ecfaa0a2df2acfd64badf509e3f4f263b7daf6b5a95914f2c3eecd48189e59

Observation 7f9b96e0-d18c-4a49-8919-3885dbcc52c3 · outbound

This paper cites an unresolved cited work.

Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:21:24.935884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:21:24.809997Z digest=sha256:9e8abd98a63c72ed9e911424939d98e31096d182ecb0ac1ab114fcefccf06ddf

Observation 1e0173b2-397c-4732-9216-cb879396251d · outbound

This paper cites Large Language Models for Education: A Survey and Outlook.

Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs Large Language Models for Education: A Survey and Outlook

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T21:21:24.814019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:21:24.814019Z digest=sha256:7e04666b9ab8d1b7aa5ebf56c9b7402ed3c8fe77667a708a4f32e20c43e094db

Pith citing papers

No inbound Pith citation observations are available.