Paper Citation Record · LEDGER

Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.03707.

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

pith.paper-citation-record.v1
2411.03707 v1

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 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:19:14.925493Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T12:33:24.240948Z

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 ddc31489-5f98-4c2a-818c-4cc609c84c15 · inbound

Automated Parsing of Engineering Drawings for Structured Information Extraction Using a Fine-tuned Document Understanding Transformer cites this paper.

Automated Parsing of Engineering Drawings for Structured Information Extraction Using a Fine-tuned Document Understanding Transformer Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:19:14.925493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e19a9f0-e952-4899-9b48-c2d25de9ce6a · inbound

Foundation Model Driven Robotics: A Comprehensive Review cites this paper.

Foundation Model Driven Robotics: A Comprehensive Review Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.049974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e506e39-462d-4017-879b-6cdef6526cd6 · inbound

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification cites this paper.

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T15:17:43.779067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf44a0b1-6b6e-41f0-bf94-84b5818c9bac · inbound

VFEAgent: A Multimodal Agent Framework for End-to-End Automated Finite Element Analysis cites this paper.

VFEAgent: A Multimodal Agent Framework for End-to-End Automated Finite Element Analysis Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:33:24.242495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 702507c6-56b6-452b-a7b5-fcee057b309d · inbound

VFEAgent: A Multimodal Agent Framework for End-to-End Automated Finite Element Analysis cites this paper.

VFEAgent: A Multimodal Agent Framework for End-to-End Automated Finite Element Analysis Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T04:58:42.151739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2325a468-7313-48a1-ab7d-60aaea5577c4 · inbound

Benchmarking Deep Learning Approaches for AEC Engineering Drawing Layout Detection and Information Extraction cites this paper.

Benchmarking Deep Learning Approaches for AEC Engineering Drawing Layout Detection and Information Extraction Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T13:53:01.312778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.