Paper Citation Record · LEDGER

Large Language Models Are Human-Like Internally

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.01615.

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

pith.paper-citation-record.v1
2502.01615 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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:05:41.514463Z

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

3
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 6f6509e5-f962-4b74-ab24-07d2a547608b · inbound

When the LM misunderstood the human chuckled: Analyzing garden path effects in humans and language models cites this paper.

When the LM misunderstood the human chuckled: Analyzing garden path effects in humans and language models Large Language Models Are Human-Like Internally

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T22:05:41.514463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1285d6c2-5425-4f26-b976-99f632d4cbb3 · inbound

A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior cites this paper.

A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior Large Language Models Are Human-Like Internally

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T23:05:29.764801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2d2fe44-ea62-40df-b950-49a4c10c687d · inbound

Why are language models less surprised than humans? Testing the Parse Multiplicity Mismatch Hypothesis cites this paper.

Why are language models less surprised than humans? Testing the Parse Multiplicity Mismatch Hypothesis Large Language Models Are Human-Like Internally

Reference 166

Resolution: verified exact; arxiv_id, observed 2026-05-19T14:52:36.307166Z

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 04e997c6-cd0e-4e15-b8e1-f3a531ed3e10 · inbound

When Meaning Travels: A Granular Lens on Hybrid-MoE's Role in Idiomatic Understanding for Language Models cites this paper.

When Meaning Travels: A Granular Lens on Hybrid-MoE's Role in Idiomatic Understanding for Language Models Large Language Models Are Human-Like Internally

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:36:16.780279Z

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 4b74a202-df2b-42f9-9ffe-d72621aa4342 · inbound

Timesteps of Mamba Align with Human Reading Times cites this paper.

Timesteps of Mamba Align with Human Reading Times Large Language Models Are Human-Like Internally

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:54:20.527515Z

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 fa323fac-dc79-447c-a995-1e8af4986828 · inbound

Surprisal Theory is Tautological (without Rational Grounding) cites this paper.

Surprisal Theory is Tautological (without Rational Grounding) Large Language Models Are Human-Like Internally

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T07:11:12.964736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.