Paper Citation Record · LEDGER

Documents Are People and Words Are Items: A Psychometric Approach to Textual Data with Contextual Embeddings

As of 17 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2509.08920.

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

pith.paper-citation-record.v1
2509.08920 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:03:42.340186Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T19:47:46.865759Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T19:56:28.833206Z

Reference resolution

5 of 5 outbound references displayed

verified exact0
verified fuzzy0
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0addfcad-dc10-45d3-8566-2dc168a49acb · outbound

This paper cites an unresolved cited work.

Documents Are People and Words Are Items: A Psychometric Approach to Textual Data with Contextual Embeddings Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T20:03:42.322853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ccf810a-2b78-4298-bb2b-762e547fb5da · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Documents Are People and Words Are Items: A Psychometric Approach to Textual Data with Contextual Embeddings BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 210

Resolution: unresolved; no resolver link, observed 2026-08-04T20:03:42.335741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation addf6a41-96a8-4094-b381-a99f1b35b488 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Documents Are People and Words Are Items: A Psychometric Approach to Textual Data with Contextual Embeddings BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 272

Resolution: unresolved; no resolver link, observed 2026-08-04T20:03:42.340186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3db87b73-03e1-417d-b3f4-2453c50c7d7f · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Documents Are People and Words Are Items: A Psychometric Approach to Textual Data with Contextual Embeddings D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 450

Resolution: unresolved; no resolver link, observed 2026-08-04T20:03:42.331608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bff4307a-5e85-4bda-83a0-b891142c8de0 · outbound

This paper cites O’Reilly Media, Inc.

Documents Are People and Words Are Items: A Psychometric Approach to Textual Data with Contextual Embeddings O’Reilly Media, Inc

Reference 468

Resolution: unresolved; no resolver link, observed 2026-08-04T20:03:42.327563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 583e9b33-ee91-48c6-939b-1410854396df · inbound

From Text to Parameters: Predicting Item Parameters from Embedding Regularization with Reliability and Design Ceilings cites this paper.

From Text to Parameters: Predicting Item Parameters from Embedding Regularization with Reliability and Design Ceilings Documents Are People and Words Are Items: A Psychometric Approach to Textual Data with Contextual Embeddings

Reference 64

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T19:56:28.834665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.