Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Beyond Answers: Large Language Model-Powered Tutoring System in Physics Education for Deep Learning and Precise Understanding
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.10934.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:09:49.172979Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T00:30:49.247102Z
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 51d55415-8192-44ab-9717-3afbe7b22d28 · inbound
Perovskite-R1: a domain-specialized large language model for intelligent discovery of precursor additives and experimental design cites this paper.
Perovskite-R1: a domain-specialized large language model for intelligent discovery of precursor additives and experimental design Beyond Answers: Large Language Model-Powered Tutoring System in Physics Education for Deep Learning and Precise Understanding
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T00:30:49.249864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9d9f8ceb-ae86-4af6-9e77-01af9cf3692f · inbound
A Comprehensive Review of AI-based Intelligent Tutoring Systems: Applications and Challenges cites this paper.
A Comprehensive Review of AI-based Intelligent Tutoring Systems: Applications and Challenges Beyond Answers: Large Language Model-Powered Tutoring System in Physics Education for Deep Learning and Precise Understanding
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:09:49.172979Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.