Paper Citation Record · LEDGER

A Simple yet Effective Layout Token in Large Language Models for Document Understanding

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.18434.

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

pith.paper-citation-record.v1
2503.18434 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 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:55:38.739187Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:53:05.091296Z

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 2ff2f69b-f7e3-47f9-a429-3193889034cc · inbound

PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding cites this paper.

PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding A Simple yet Effective Layout Token in Large Language Models for Document Understanding

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:37:14.227520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 126324e0-dd4d-41e8-ad69-f18d760823c9 · inbound

A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends cites this paper.

A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends A Simple yet Effective Layout Token in Large Language Models for Document Understanding

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:42:04.400134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 04eb27ee-6f43-47ec-8d93-fd7a1ce597f1 · inbound

Structured Layout Priors for Robust Out-of-Distribution Visual Document Understanding cites this paper.

Structured Layout Priors for Robust Out-of-Distribution Visual Document Understanding A Simple yet Effective Layout Token in Large Language Models for Document Understanding

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:53:05.092791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e9165282-7bcc-42fb-87eb-9130ba1de4a3 · inbound

DocOCR-Eval: A Correction-Based Framework for OCR Tool Selection Without Ground Truth cites this paper.

DocOCR-Eval: A Correction-Based Framework for OCR Tool Selection Without Ground Truth A Simple yet Effective Layout Token in Large Language Models for Document Understanding

Reference 177

Resolution: unresolved; no resolver link, observed 2026-08-02T14:55:38.739187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.