Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.08664.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:53:06.346754Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T13:28:14.513354Z
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 768b1e0d-0a2d-4e02-9df7-22773ef55813 · inbound
Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis cites this paper.
Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:53:06.346754Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9432c64d-d239-419a-a411-46a2f1d0fe41 · inbound
AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation cites this paper.
AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T15:48:59.311770Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7408c6e-8f57-4ff6-a473-b7549a3bd65c · inbound
CoGrader: Transforming Instructors' Assessment of Project Reports through Collaborative LLM Integration cites this paper.
CoGrader: Transforming Instructors' Assessment of Project Reports through Collaborative LLM Integration Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T13:28:14.517903Z
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.