Paper Citation Record · LEDGER

Variational Item Response Theory: Fast, Accurate, and Expressive

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2002.00276.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2002.00276 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:15:07.838032Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, 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

18
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 18942da1-1093-41a9-9ad9-29bafe900fe8 · inbound

How to Select Datapoints for Efficient Human Evaluation of NLG Models? cites this paper.

How to Select Datapoints for Efficient Human Evaluation of NLG Models? Variational Item Response Theory: Fast, Accurate, and Expressive

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T00:15:07.838032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eb92a8c-0762-41ee-bac8-2c67fd7149aa · inbound

An Interpretable and Scalable Framework for Evaluating Large Language Models cites this paper.

An Interpretable and Scalable Framework for Evaluating Large Language Models Variational Item Response Theory: Fast, Accurate, and Expressive

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:41:01.530575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 30410c28-a056-4bea-8334-b00dbf170fc9 · 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 Variational Item Response Theory: Fast, Accurate, and Expressive

Reference 186

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:23:12.916532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 528912a3-59b2-450d-a9be-ca1cf9850236 · inbound

Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation cites this paper.

Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation Variational Item Response Theory: Fast, Accurate, and Expressive

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:52:45.589484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7ff17067-95e2-40c8-9d6c-0b77a23af238 · inbound

Identifiability of Partial-Mastery Cognitive Diagnostic Models cites this paper.

Identifiability of Partial-Mastery Cognitive Diagnostic Models Variational Item Response Theory: Fast, Accurate, and Expressive

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-01T20:44:58.360418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a38c472-8bc1-432a-ae1a-c51c4644fbda · inbound

UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics cites this paper.

UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics Variational Item Response Theory: Fast, Accurate, and Expressive

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T12:01:07.337245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.