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Paper Citation Record · LEDGER

Representing Online Handwriting for Recognition in Large Vision-Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.15307.

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

pith.paper-citation-record.v1
2402.15307 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:28:28.976995Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:47:41.907786Z

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 a68f78ec-5fda-431d-8509-1162291c382c · inbound

Mitigating Hallucinations on Object Attributes using Multiview Images and Negative Instructions cites this paper.

Mitigating Hallucinations on Object Attributes using Multiview Images and Negative Instructions Representing Online Handwriting for Recognition in Large Vision-Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T19:28:28.976995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:28.976995Z digest=sha256:9998cc01b0e7c66d950fe491ca207e9972c4690c5cb336738c1042e06990a2f3

Observation a3fcd19b-55cc-405d-ba3e-abb162db7e5a · inbound

Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical records cites this paper.

Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical records Representing Online Handwriting for Recognition in Large Vision-Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T18:06:38.144601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:06:38.144601Z digest=sha256:ab7e04a94cab7e69f482441f25854501ce85ec72307c4aaff2322ec2a0100a5d

Observation be4f8881-4930-4640-bda5-f3e88c0218df · inbound

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models cites this paper.

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models Representing Online Handwriting for Recognition in Large Vision-Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:47:41.909786Z

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=arxiv_source observed=2026-06-27T13:03:07.941337Z digest=sha256:66156209a42f72d4fdafae3237e9c16c725642ac74be8d3bd1117fd9520557bf