Paper Citation Record · LEDGER

On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2006.01912.

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

pith.paper-citation-record.v1
2006.01912 v1

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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:51:51.030149Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T23:03:50.944948Z

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 37ea3af2-ec9e-4ed6-85f2-e0b717af6377 · inbound

Large Language Models Are Human-Like Internally cites this paper.

Large Language Models Are Human-Like Internally On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-09T14:51:51.030149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5ee47f1-43b8-4f5f-879f-b0635b419373 · inbound

Probing for Reading Times cites this paper.

Probing for Reading Times On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:28:39.043709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6872d4b1-1660-4ab4-b5b8-b479c6edbf5b · inbound

The Frequency Confound in Language-Model Surprisal and Metaphor Novelty cites this paper.

The Frequency Confound in Language-Model Surprisal and Metaphor Novelty On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:11:10.146287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 40d21511-9971-4cf4-bd22-136d878f19d7 · inbound

The Frequency Confound in Language-Model Surprisal and Metaphor Novelty cites this paper.

The Frequency Confound in Language-Model Surprisal and Metaphor Novelty On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:03:50.947547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e5e337d-b829-4e5e-9297-b4b4b3f618e5 · inbound

Contextual Semantic Relevance and Word Surprisal Predict N400 and P600 Dynamics During Naturalistic Reading cites this paper.

Contextual Semantic Relevance and Word Surprisal Predict N400 and P600 Dynamics During Naturalistic Reading On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T21:38:45.337235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 776c1259-881c-4cda-a3c8-8d5fe8c5e75d · inbound

Computational models of pragmatic reasoning with flexible generation of meaning and expression alternatives cites this paper.

Computational models of pragmatic reasoning with flexible generation of meaning and expression alternatives On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior

Reference 123

Resolution: unresolved; no resolver link, observed 2026-08-01T15:27:02.475103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.