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Paper Citation Record · LEDGER

Unlocking UML Class Diagram Understanding in Vision Language Models

As of 16 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 2 inbound Pith citation observations for arXiv:2605.11634.

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

pith.paper-citation-record.v1
2605.11634 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T01:39:50.027264Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:58:06.577783Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

  • verified exact9
  • verified fuzzy8
  • unresolved0
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9eda03b9-7bae-4311-8698-737b61d1c9af · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Unlocking UML Class Diagram Understanding in Vision Language Models Learning transferable visual models from natural language supervi- sion

Reference 1

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verified fuzzy
raw_fallback, observed 2026-05-13T14:37:54.787515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8d9feed2-5ee8-403e-9b2f-997cc10c4234 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

Unlocking UML Class Diagram Understanding in Vision Language Models SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 2

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verified exact
local_arxiv, observed 2026-05-13T01:42:02.624466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 598d466b-9b02-453e-ae5e-a4110f8963ed · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Unlocking UML Class Diagram Understanding in Vision Language Models Emerging properties in self-supervised vision transformers

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-13T14:37:54.789923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation fccad244-4122-4f99-9383-e469e5ebef92 · outbound

This paper cites LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model.

Unlocking UML Class Diagram Understanding in Vision Language Models LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model

Reference 4

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verified exact
arxiv_id, observed 2026-05-13T01:42:02.602023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 78d89357-3b06-4aa4-a019-b6ac4992f76a · outbound

This paper cites Chartqa: A benchmark for question answering about charts with visual and logical reasoning.

Unlocking UML Class Diagram Understanding in Vision Language Models Chartqa: A benchmark for question answering about charts with visual and logical reasoning

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-13T14:37:54.801511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2a8bab18-280d-46a7-af03-206bcc96540f · outbound

This paper cites ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering.

Unlocking UML Class Diagram Understanding in Vision Language Models ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Reference 6

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verified exact
arxiv_id, observed 2026-05-13T01:42:02.613070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 91915f89-15fa-47e3-8eea-1c2e7df21c9f · outbound

This paper cites Measuring Visual Understanding in Telecom domain: Performance Metrics for Image-to-UML conversion using VLMs.

Unlocking UML Class Diagram Understanding in Vision Language Models Measuring Visual Understanding in Telecom domain: Performance Metrics for Image-to-UML conversion using VLMs

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-13T14:37:54.799055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f7868d0e-43ed-4297-84f9-eab7c21beff4 · outbound

This paper cites Structured Extraction from Business Process Diagrams Using Vision-Language Models.

Unlocking UML Class Diagram Understanding in Vision Language Models Structured Extraction from Business Process Diagrams Using Vision-Language Models

Reference 8

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verified exact
arxiv_id, observed 2026-05-13T01:42:02.584790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T01:39:50.027264Z digest=sha256:ecc3f2df2be7eb2f1107a4349c3cb480a2e06ba2071ff91b9a2c3432bd92bd54

Observation 90ab641c-7c7c-4edd-ab7c-2824256919d5 · outbound

This paper cites LLM-Driven MDA Pipeline for Generating UML Class Diagrams and Code.

Unlocking UML Class Diagram Understanding in Vision Language Models LLM-Driven MDA Pipeline for Generating UML Class Diagrams and Code

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:42:03.769601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T01:39:50.027264Z digest=sha256:008b4745ef8d04d0ab1215eb2b7b7cf0c76f3600e4dfabc750afbc95c3c5a0f2

Observation e9a3d4fd-43ae-4027-90ae-0ad3eaaa0e95 · outbound

This paper cites From Image to UML: First Results of Image Based UML Diagram Generation Using LLMs.

Unlocking UML Class Diagram Understanding in Vision Language Models From Image to UML: First Results of Image Based UML Diagram Generation Using LLMs

Reference 10

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verified exact
arxiv_id, observed 2026-05-13T01:42:03.773939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T01:39:50.027264Z digest=sha256:31ad73f41e7c8183c67c9301f72a2f387ff703b133d0bc2cf13364b7915a60f9

Observation dbd4d6f4-6fa7-4a2c-8ad4-61508f9fccb2 · outbound

This paper cites Evaluating Large Language Models in Software Design: A Comparative Analysis of UML Class Diagram Generation.

Unlocking UML Class Diagram Understanding in Vision Language Models Evaluating Large Language Models in Software Design: A Comparative Analysis of UML Class Diagram Generation

Reference 11

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verified fuzzy
raw_fallback, observed 2026-05-13T14:37:54.796479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T01:39:50.027264Z digest=sha256:e66f279ebf65eea9af30e35863128c5358496d008ff83f62d7d111d5ac25e151

Observation 078445ce-35b2-45f5-a299-74eb1c6e8e1e · outbound

This paper cites NOMAD: A Multi-Agent LLM System for UML Class Diagram Generation from Natural Language Requirements.

Unlocking UML Class Diagram Understanding in Vision Language Models NOMAD: A Multi-Agent LLM System for UML Class Diagram Generation from Natural Language Requirements

Reference 12

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verified exact
local_arxiv, observed 2026-05-13T01:42:02.596612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T01:39:50.027264Z digest=sha256:b9395e0c76f4d8f3b321a8feaa25f83f9b43f36a2fc3783dd2e01e1e84b3e261

Observation 128b7534-d83b-4972-9188-5d8a971e8d17 · outbound

This paper cites In: Proc.

Unlocking UML Class Diagram Understanding in Vision Language Models In: Proc

Reference 14

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malformed identifier
doi_truncated, observed 2026-05-13T01:42:02.580340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T01:39:50.027264Z digest=sha256:b6e4e93bfcc9cb407d8f5a7c2a01387cd24eeee0a8100b345894775bc477ecac

Observation d235f48f-00c2-4c8a-9c47-25613aff632c · outbound

This paper cites LLM-based Generation and Evaluation of UML Class Diagrams.

Unlocking UML Class Diagram Understanding in Vision Language Models LLM-based Generation and Evaluation of UML Class Diagrams

Reference 15

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verified fuzzy
raw_fallback, observed 2026-05-13T14:37:54.803889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T01:39:50.027264Z digest=sha256:81acf7f95a2edd8ef87dc52a1149e719f97d999491c7dc21bfb691422e243603

Observation b5a797a2-453a-4e88-99c3-c28375596fde · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Unlocking UML Class Diagram Understanding in Vision Language Models Lora: Low-rank adaptation of large language models

Reference 16

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verified fuzzy
raw_fallback, observed 2026-05-13T14:37:54.806685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T01:39:50.027264Z digest=sha256:2bc91862d399261f7b173b2445f015e8b06eca2c9114177bc17f8e9ec5dd65da

Observation 0ed02c3b-93c2-4a3a-a819-d8eaf0e517ab · outbound

This paper cites Unravel- ing the truth: Do VLMs really understand charts? a deep dive into consistency and robust- ness.

Unlocking UML Class Diagram Understanding in Vision Language Models Unravel- ing the truth: Do VLMs really understand charts? a deep dive into consistency and robust- ness

Reference 17

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verified fuzzy
raw_fallback, observed 2026-05-13T14:37:54.793067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T01:39:50.027264Z digest=sha256:86cf54941df5fe3d46ba919066533bf24061dae8538189b759718ffb59229013

Observation 4609bfe4-2613-4623-8f3d-0cf430d76f64 · outbound

This paper cites Limits and Gains of Test-Time Scaling in Vision-Language Reasoning.

Unlocking UML Class Diagram Understanding in Vision Language Models Limits and Gains of Test-Time Scaling in Vision-Language Reasoning

Reference 18

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arxiv_id, observed 2026-05-13T01:42:02.591114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T01:39:50.027264Z digest=sha256:45d0e88ff9de8f2f42a09f145bdc78ca5cadf1e1377483b0ea3b2d05aa59de93

Observation 2e3c2afc-75a5-426f-89df-b4d0d3c0c24a · outbound

This paper cites Scalable Funding of Bitcoin Micropayment Channel Networks.

Unlocking UML Class Diagram Understanding in Vision Language Models Scalable Funding of Bitcoin Micropayment Channel Networks

Reference 19

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malformed identifier
doi_truncated, observed 2026-05-13T01:42:02.606583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T01:39:50.027264Z digest=sha256:9d60883b327cc7a7e9c9e3f5633beb5e5483ef41deda69de5ff6ee289d697d6f

Observation f93a6f5e-3930-4dc7-ad66-56309254a29c · outbound

This paper cites MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation.

Unlocking UML Class Diagram Understanding in Vision Language Models MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation

Reference 20

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verified exact
arxiv_id, observed 2026-05-13T01:42:02.618815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T01:39:50.027264Z digest=sha256:9ca607bb56dc21675380dff2a5a90a338c224d2ffa1bd7ccf2869dcae642d81e

Pith citing papers

Observation 83fd93a5-fcfe-4a9d-80b9-6c98ac3fbc22 · inbound

Prior Bias in Vision Language Models on UML Diagram Interpretation cites this paper.

Prior Bias in Vision Language Models on UML Diagram Interpretation Unlocking UML Class Diagram Understanding in Vision Language Models

Reference 57

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no resolver link, observed 2026-07-12T06:36:12.761601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T06:36:12.761601Z digest=sha256:f76bd90e50777dba8e4fff6e7e426929d32b6b20c0fbca036099e1dd42236e78

Observation 8afd95d6-4a5e-4194-aa56-4f695878767e · inbound

A Formalism-Aware Reward Loop for Handwritten UML-to-PlantUML Generation cites this paper.

A Formalism-Aware Reward Loop for Handwritten UML-to-PlantUML Generation Unlocking UML Class Diagram Understanding in Vision Language Models

Reference 13

Resolution
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no resolver link, observed 2026-08-03T15:58:06.577783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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