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Paper Citation Record · LEDGER

Frequency Explains the Inverse Correlation of Large Language Models' Size, Training Data Amount, and Surprisal's Fit to Reading Times

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.02255.

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

pith.paper-citation-record.v1
2402.02255 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:38:37.248750Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:29:16.408752Z

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 2387bb5e-23d0-46cc-be17-ba414cad24d3 · inbound

Model Connectomes: A Generational Approach to Data-Efficient Language Models cites this paper.

Model Connectomes: A Generational Approach to Data-Efficient Language Models Frequency Explains the Inverse Correlation of Large Language Models' Size, Training Data Amount, and Surprisal's Fit to Reading Times

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:37.248750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:38:37.248750Z digest=sha256:c08093e8c9ccd8f0f0058ca1be840ff1c0e940270cfc45ac00b9ffab23aee416

Observation 8b9ba830-2918-4c61-a258-d0f643ce8d6f · inbound

STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability cites this paper.

STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability Frequency Explains the Inverse Correlation of Large Language Models' Size, Training Data Amount, and Surprisal's Fit to Reading Times

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:29:16.410919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T21:09:30.899636Z digest=sha256:17bd229d15be210e63f4633915ddef623089d2d091669a408dcf636a295c3c5f