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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 7 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 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T12:49:36.943661Z

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 307edf66-a4c8-46aa-9451-c7cc81ac6cd1 · inbound

Improving LLM Leaderboards with Psychometrical Methodology cites this paper.

Improving LLM Leaderboards with Psychometrical Methodology Variational Item Response Theory: Fast, Accurate, and Expressive

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T12:49:36.943661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:49:36.943661Z digest=sha256:260807e184d1fcb737617f76e3067cd4c2b47cd3af19659b81b7f925d0bc0642

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.

source=arxiv_source observed=2026-08-10T00:15:07.838032Z digest=sha256:049dee2650e917ff18e49733d872177e6d33f621ca85a68fa405f45e1a3dd25d

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.

source=pdf_text observed=2026-05-11T01:08:25.577363Z digest=sha256:6b0032de8d415f4199599e5bf48bf31709599830502f03bdb63e7a7b46b01232

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.

source=arxiv_source observed=2026-05-19T20:22:55.750693Z digest=sha256:733b09c9f185b2470587dfb5298decec4267e4acd48262272ca46ffaf7f05215

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.

source=pdf_text observed=2026-06-28T22:48:20.193699Z digest=sha256:960ce49d1e357e927351e13c6fddcf4c44f3a10401ef3d7772ffa141a796319e

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.

source=arxiv_source observed=2026-08-01T20:44:58.360418Z digest=sha256:94b779e8d5e8bab60984279cfad7ea1ed94181c0706fddd999498b888eac5cb8

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.

source=pdf_text observed=2026-08-05T12:01:07.337245Z digest=sha256:7e0340149c591727f00f6d1bca1314f044b2a9da33e7153fa17406d64ff916d2