Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluating Students' Open-ended Written Responses with LLMs: Using the RAG Framework for GPT-3.5, GPT-4, Claude-3, and Mistral-Large
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.05444.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:08:52.043672Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T11:46:18.498839Z
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 281c6243-02cd-4d77-a4f1-5783a27e7445 · inbound
Automated Assignment Grading with Large Language Models: Insights From a Bioinformatics Course cites this paper.
Automated Assignment Grading with Large Language Models: Insights From a Bioinformatics Course Evaluating Students' Open-ended Written Responses with LLMs: Using the RAG Framework for GPT-3.5, GPT-4, Claude-3, and Mistral-Large
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:08:52.043672Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4940d2d-0e52-4d11-95cb-d311bf5195e9 · inbound
Automatically Inferring Teachers' Geometric Content Knowledge: A Skills Based Approach cites this paper.
Automatically Inferring Teachers' Geometric Content Knowledge: A Skills Based Approach Evaluating Students' Open-ended Written Responses with LLMs: Using the RAG Framework for GPT-3.5, GPT-4, Claude-3, and Mistral-Large
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:46:18.501749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.