Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Analyzing Examinee Comments using DistilBERT and Machine Learning to Ensure Quality Control in Exam Content
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.06465.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T04:19:38.920287Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T04:20:38.676383Z
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 13a216b9-3cc8-411a-9507-d8347b765476 · inbound
Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques cites this paper.
Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques Analyzing Examinee Comments using DistilBERT and Machine Learning to Ensure Quality Control in Exam Content
Reference 39
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-10T04:20:38.679845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a9065c01-fbc5-486a-b1c9-6284e55a4a66 · inbound
Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques cites this paper.
Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques Analyzing Examinee Comments using DistilBERT and Machine Learning to Ensure Quality Control in Exam Content
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:19:38.920287Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.