Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How to Build an Adaptive AI Tutor for Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.17696.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:50:19.296905Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T16:35:12.682247Z
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 60bcac6a-0244-4072-add9-e9afde4cf16e · inbound
Personalizing Education through an Adaptive LMS with Integrated LLMs cites this paper.
Personalizing Education through an Adaptive LMS with Integrated LLMs How to Build an Adaptive AI Tutor for Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:50:19.296905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19ac71fe-15f2-46ed-8c91-b5c2d00f15e0 · inbound
AITEE -- Agentic Tutor for Electrical Engineering cites this paper.
AITEE -- Agentic Tutor for Electrical Engineering How to Build an Adaptive AI Tutor for Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:47:38.214009Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63b8d5b9-dae6-4c74-9452-7d4ab779ae43 · inbound
When Is Next-Token Prediction Useful? Marginalization, Ergodicity, Mixture Identifiability, Local Sufficiency, RAG, Tools, and Programming cites this paper.
When Is Next-Token Prediction Useful? Marginalization, Ergodicity, Mixture Identifiability, Local Sufficiency, RAG, Tools, and Programming How to Build an Adaptive AI Tutor for Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:05:22.884332Z
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.
Observation ee3d75dd-467f-4e1d-8dcd-628dc04f19ce · inbound
When Is Next-Token Prediction Useful? Marginalization, Ergodicity, Mixture Identifiability, Local Sufficiency, RAG, Tools, and Programming cites this paper.
When Is Next-Token Prediction Useful? Marginalization, Ergodicity, Mixture Identifiability, Local Sufficiency, RAG, Tools, and Programming How to Build an Adaptive AI Tutor for Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:35:12.683690Z
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.