Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.04645.
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 2026-08-15T18:09:49.830095Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T06:11:25.634231Z
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 31da5551-b334-4ea4-ae77-2fe660c2d835 · inbound
Combining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support cites this paper.
Combining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:25:31.112412Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5597d23e-21c2-4a7e-bfeb-9f730700ef6d · 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 Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences
Reference 185
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:09:49.830095Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7cdbb680-c6cb-4d52-a4a6-d0d6f976803a · inbound
Beyond Accuracy: Evaluating Strategy Diversity in LLM Mathematical Reasoning cites this paper.
Beyond Accuracy: Evaluating Strategy Diversity in LLM Mathematical Reasoning Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:11:25.637367Z
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 60015074-21a0-4e0b-9338-e771ce73429d · inbound
"Code Is Cheap. Show Me the Talk.": Lessons from Teaching and Managing AI Coding Tool Usage in a Visualization Course cites this paper.
"Code Is Cheap. Show Me the Talk.": Lessons from Teaching and Managing AI Coding Tool Usage in a Visualization Course Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T14:28:29.626547Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.