Paper Citation Record · LEDGER

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models

As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2508.21732.

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

pith.paper-citation-record.v1
2508.21732 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:06:18.622208Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy25
unresolved11
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7e3580df-e8ce-4b2f-8fe8-dec4eaa3c8a8 · outbound

This paper cites Effectiveness assessment of recent large vision-language models.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Effectiveness assessment of recent large vision-language models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:19.306015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7aa073ca-04ac-450f-a2d9-fa9fe086bc3b · outbound

This paper cites Vision Language Models are Biased.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Vision Language Models are Biased

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T14:06:17.854193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cea059c0-2bcd-44eb-9596-4603cbbd1c62 · outbound

This paper cites Ai-powered augmented reality for satellite assembly, integration and test.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Ai-powered augmented reality for satellite assembly, integration and test

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:19.282530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f999103b-1c7d-4f2a-a8af-95eae34fbe58 · outbound

This paper cites High-fidelity synthetic data generation framework for unique objects detection.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models High-fidelity synthetic data generation framework for unique objects detection

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:19.266471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9905cb2f-8bd0-49d5-b117-e023852c6301 · outbound

This paper cites Unity Perception: Generate Synthetic Data for Computer Vision.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Unity Perception: Generate Synthetic Data for Computer Vision

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T14:06:18.232587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c2ac63e-2c5a-4029-9031-798d4e1f49ed · outbound

This paper cites Libcom: Image composition toolbox.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Libcom: Image composition toolbox

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:19.246526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd8f1e09-3609-438a-836d-c0d685bff88a · outbound

This paper cites ControlCom: Controllable Image Composition using Diffusion Model.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models ControlCom: Controllable Image Composition using Diffusion Model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T14:06:18.317712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9103d41c-150a-4b13-ab44-85ffe5c17721 · outbound

This paper cites Fast Object Placement Assessment.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Fast Object Placement Assessment

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T14:06:18.383028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0343a206-1813-438b-8942-2c297a320464 · outbound

This paper cites OPA: Object Placement Assessment Dataset.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models OPA: Object Placement Assessment Dataset

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T14:06:18.458152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01b3f089-cdd2-44c1-9b15-f40f6d9edb9c · outbound

This paper cites Vlmevalkit: An open-source toolkit for evaluating large multi-modality models.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Vlmevalkit: An open-source toolkit for evaluating large multi-modality models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:19.226055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a48e178c-1049-49a6-b278-f4f00bda3ab7 · outbound

This paper cites an unresolved cited work.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:06:19.208370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 51b966cb-fd1e-461f-b2dd-4b49b207edc4 · outbound

This paper cites A threshold selection method from gray-level histograms.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models A threshold selection method from gray-level histograms

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:19.190318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f4d18105-40a2-417f-905a-3e0b98b14f57 · outbound

This paper cites Dseg: Font series for seven-segment display.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Dseg: Font series for seven-segment display

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:19.173686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 41bef085-266f-421e-8d82-a45ba39ac766 · outbound

This paper cites Recognizing indoor scenes.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Recognizing indoor scenes

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:19.157203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 97bc7ebd-86c0-4b25-abc8-6ece49163567 · outbound

This paper cites Semantic understanding of scenes through the ade20k dataset.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Semantic understanding of scenes through the ade20k dataset

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:19.139811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 68672373-7801-409d-8d95-2df1d251790d · outbound

This paper cites Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:19.122885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5ae7c2fe-b3f5-437d-846e-1daf8ddfc50c · outbound

This paper cites Pixtral 12B.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Pixtral 12B

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T14:06:18.518557Z

Source-reported events for the cited work

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Observation 7781555a-67f2-4b7d-87c1-13026c26f72e · outbound

This paper cites Improved baselines with visual instruction tuning.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Improved baselines with visual instruction tuning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:19.105961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dfe19a28-e567-48b8-be2b-a724bfa4af09 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T14:06:18.529408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50c7c5c7-e1d7-472f-a025-a4d9615e7177 · outbound

This paper cites an unresolved cited work.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:06:19.085661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd0623e0-b02e-4d17-8b5b-922bab70bb63 · outbound

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

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models LoRA: Low-rank adaptation of large language models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:19.069719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e87a0168-abe4-459c-9f04-962209a864f3 · outbound

This paper cites ANLS* -- A Universal Document Processing Metric for Generative Large Language Models.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models ANLS* -- A Universal Document Processing Metric for Generative Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T14:06:18.546111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17f1642f-f29d-4a8d-8cdf-6bd3193800ed · outbound

This paper cites Towards vqa models that can read.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Towards vqa models that can read

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:19.053743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f6ec958-7540-4828-b1c4-e92134e25ef9 · outbound

This paper cites Microsoft coco: Common objects in context.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Microsoft coco: Common objects in context

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:19.034751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fe579791-a850-4a56-a242-eb797fa5998c · outbound

This paper cites Gqa: A new dataset for real-world visual reasoning and com- positional question answering.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Gqa: A new dataset for real-world visual reasoning and com- positional question answering

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:19.018934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 00c35a63-4549-409d-b04f-646fadce1609 · outbound

This paper cites Ocr-vqa: Visual question answering by reading text in images.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Ocr-vqa: Visual question answering by reading text in images

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:19.002262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4ad1471c-4a8d-4d61-9975-330fcdeec0b3 · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Visual genome: Connecting language and vision using crowdsourced dense image annotations

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:18.984689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 065c7b37-8769-463f-b506-ba5ca6c6ec31 · outbound

This paper cites A diagram is worth a dozen images.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models A diagram is worth a dozen images

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:18.968908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2af371c5-f117-4375-a160-a43bf79d486e · outbound

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

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Chartqa: A benchmark for question answering about charts with visual and logical reasoning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:18.951480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d6ed581-cf4f-4554-bcc0-71f84a80e68b · outbound

This paper cites Docvqa: A dataset for vqa on document images.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Docvqa: A dataset for vqa on document images

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:18.931111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a76a308-6f59-493c-bee5-238d73aeef89 · outbound

This paper cites Dvqa: Understanding data visualizations via question answering.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Dvqa: Understanding data visualizations via question answering

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:18.913191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7170bcb4-7bb1-40ae-99df-a90a9f07169a · outbound

This paper cites Segment anything.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Segment anything

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:18.896119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38d4c4f4-a4be-4d06-bd1b-4bd19c07e1e0 · outbound

This paper cites Ocr-free document understanding transformer.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Ocr-free document understanding transformer

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:18.878781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1dd641c4-7682-4dad-a2ef-f770c8a42ec4 · outbound

This paper cites Geoqa: A geometric question answering benchmark towards multimodal numerical reasoning.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Geoqa: A geometric question answering benchmark towards multimodal numerical reasoning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:18.863018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3429b138-3886-4b0d-a8cc-8db200b87e99 · outbound

This paper cites Robust transfer learning with pretrained language models through adapters.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models Robust transfer learning with pretrained language models through adapters

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:06:18.841486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 29bec3bd-5ffb-488e-a6ab-8b0bec84386a · outbound

This paper cites A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T14:06:18.622208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.