Paper Citation Record · LEDGER

Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.15645.

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

pith.paper-citation-record.v1
2407.15645 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:31:58.747049Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:15:21.281591Z

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 84628ff2-7ed4-40c1-9965-09352712f657 · inbound

How Many Human Survey Respondents is a Large Language Model Worth? An Uncertainty Quantification Perspective cites this paper.

How Many Human Survey Respondents is a Large Language Model Worth? An Uncertainty Quantification Perspective Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:15:21.284461Z

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 619848f6-53f7-43ec-9f91-833029c52cc9 · inbound

Can LLMs Reliably Simulate Real Students' Abilities in Mathematics and Reading Comprehension? cites this paper.

Can LLMs Reliably Simulate Real Students' Abilities in Mathematics and Reading Comprehension? Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:31:58.747049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e944a6c9-8b97-4697-8697-fa07be7f298f · inbound

Model-Free Assessment of Simulator Fidelity via Quantile Curves cites this paper.

Model-Free Assessment of Simulator Fidelity via Quantile Curves Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:58:46.642070Z

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 502328a5-8c09-4d4b-a9d5-ba83a1f9e35a · inbound

MCQ Difficulty Prediction via Modeling Learner Heterogeneity Using Data-Driven Cognitive Profiling cites this paper.

MCQ Difficulty Prediction via Modeling Learner Heterogeneity Using Data-Driven Cognitive Profiling Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-21T01:09:20.480653Z

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.