Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fine-Tuning Large Language Models for Educational Support: Leveraging Gagne's Nine Events of Instruction for Lesson Planning
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.09276.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:09:36.765401Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T23:35:29.457650Z
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 95c2b33a-7b01-429b-9674-7e317deceaab · inbound
Interactive authoring of outcome-oriented lesson plans for immersive Virtual Reality training cites this paper.
Interactive authoring of outcome-oriented lesson plans for immersive Virtual Reality training Fine-Tuning Large Language Models for Educational Support: Leveraging Gagne's Nine Events of Instruction for Lesson Planning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:09:36.765401Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30dd185d-3a9a-43d8-8e09-5db0b57b8eba · 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 Fine-Tuning Large Language Models for Educational Support: Leveraging Gagne's Nine Events of Instruction for Lesson Planning
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:33:26.560310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7943baf-7e40-45a2-95ec-c27d4609e74c · inbound
Detecting LLM-Generated Short Answers and Effects on Learner Performance cites this paper.
Detecting LLM-Generated Short Answers and Effects on Learner Performance Fine-Tuning Large Language Models for Educational Support: Leveraging Gagne's Nine Events of Instruction for Lesson Planning
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T23:35:29.575249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.