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Paper Citation Record · LEDGER

Benchmarking Large Language Models for Handwritten Text Recognition

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.15195.

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

pith.paper-citation-record.v1
2503.15195 v3

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:58:51.117477Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:16:02.193778Z

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 283f6ab2-cfd2-4806-8048-dc23ad685cd0 · inbound

An HTR-LLM Workflow for High-Accuracy Transcription and Analysis of Abbreviated Latin Court Hand cites this paper.

An HTR-LLM Workflow for High-Accuracy Transcription and Analysis of Abbreviated Latin Court Hand Benchmarking Large Language Models for Handwritten Text Recognition

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T19:58:51.117477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:58:51.117477Z digest=sha256:15f0c99b6d16c722c4310173d441f9f89f68af105ff5b4ebb14cc648af2d49bf

Observation e7aea6b8-5bb5-42c5-9eb1-19a513cab4eb · inbound

From Handwriting to Structured Data: Benchmarking AI Digitisation of Handwritten Forms cites this paper.

From Handwriting to Structured Data: Benchmarking AI Digitisation of Handwritten Forms Benchmarking Large Language Models for Handwritten Text Recognition

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:16:02.196418Z

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.

source=pdf_text observed=2026-05-10T16:08:30.056580Z digest=sha256:1067f578f259156bbb558bb5ce6bc37e7137d45180ea0a8c8004abec26217f77