Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AutoIRT: Calibrating Item Response Theory Models with Automated Machine Learning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.08823.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-09T23:20:20.660926Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation afe870b4-e28d-4954-b266-44035e277e01 · inbound
Response-free item difficulty modelling for multiple-choice items with fine-tuned transformers: Component-wise representation and multi-task learning cites this paper.
Response-free item difficulty modelling for multiple-choice items with fine-tuned transformers: Component-wise representation and multi-task learning AutoIRT: Calibrating Item Response Theory Models with Automated Machine Learning
Reference 160
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T20:23:12.838217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2e759717-2970-4661-abfc-3fd2e48f666d · inbound
Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM cites this paper.
Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM AutoIRT: Calibrating Item Response Theory Models with Automated Machine Learning
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T23:26:36.876687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.