Paper Citation Record · LEDGER

Generative AI for Industrial Contour Detection: A Language-Guided Vision System

As of 17 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2509.00284.

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

pith.paper-citation-record.v1
2509.00284 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:50:54.338204Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

35 of 35 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cceccbe1-2378-406b-a0e4-d2ccd536c77c · outbound

This paper cites Moondream: Efficient open-source vision–language foundation model.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Moondream: Efficient open-source vision–language foundation model

Reference 1

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Observation aa26ed6b-1d45-4800-8c05-a93980ce5ae7 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

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Observation f582908c-b76c-4c8f-a4c1-c7405df78390 · outbound

This paper cites Agentic Systems: A Guide to Transforming Industries with Vertical AI Agents.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Agentic Systems: A Guide to Transforming Industries with Vertical AI Agents

Reference 3

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Observation 8afc7f2f-4da9-4872-af67-7a4e0756d540 · outbound

This paper cites Generative AI for Vision: A Comprehensive Study of Frameworks and Applications.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Generative AI for Vision: A Comprehensive Study of Frameworks and Applications

Reference 4

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Observation 9facfb9b-a5eb-4385-93a8-58aa5863f36f · outbound

This paper cites Information-theoretic Bayesian Optimization: Survey and Tutorial.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Information-theoretic Bayesian Optimization: Survey and Tutorial

Reference 5

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Observation f57e1839-572a-4dd7-8c5b-8d2e004b1835 · outbound

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

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Emerging properties in self-supervised vision transformers

Reference 6

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Observation 5fed947d-9612-4768-ad29-120f38a6f462 · outbound

This paper cites Spherical Double K-Means: a co-clustering approach for text data analysis.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Spherical Double K-Means: a co-clustering approach for text data analysis

Reference 8

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Observation 6ee1544a-a674-4160-b1ac-76a8a24300b0 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language under- standing.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Bert: Pre-training of deep bidirectional transformers for language under- standing

Reference 9

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Observation 42cff28d-8ce2-4ebd-87a5-e3f109426c38 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Diffusion models beat gans on image synthesis

Reference 10

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Observation 94e34dc0-3407-4dc8-b269-7a1cd9231db2 · outbound

This paper cites Digital twin: Enabling technologies, challenges and open research.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Digital twin: Enabling technologies, challenges and open research

Reference 11

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Observation 6a0a7e03-6756-4307-8144-f4c12c09891e · outbound

This paper cites T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Reference 12

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Observation a7add610-2b0f-446f-aa5a-030f577ed0b9 · outbound

This paper cites Gen- erative adversarial nets.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Gen- erative adversarial nets

Reference 13

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Observation adfce6a9-d57e-4a8e-83b9-1bc69023c95e · outbound

This paper cites Gemini 2.5: Deep Think Model Card, 2025.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Gemini 2.5: Deep Think Model Card, 2025

Reference 14

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Observation 6779abc8-9ae8-420f-9cbb-d8da87b351de · outbound

This paper cites beta-vae: Learning basic visual concepts with a constrained variational framework.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System beta-vae: Learning basic visual concepts with a constrained variational framework

Reference 15

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Observation a3227d8f-b751-41c1-a802-c695b9cef6ff · outbound

This paper cites Denoising diffusion proba- bilistic models.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Denoising diffusion proba- bilistic models

Reference 16

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Observation 72f1b232-3456-4b53-b7dc-0f1ce8e8e753 · outbound

This paper cites Comparing images using the hausdorff distance.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Comparing images using the hausdorff distance

Reference 17

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Observation 90d33555-65a6-43eb-8cab-46739749d6a5 · outbound

This paper cites Image- to-image translation with conditional adversarial networks.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Image- to-image translation with conditional adversarial networks

Reference 18

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Observation 90c08837-bfcf-4160-92b4-5419c438b82d · outbound

This paper cites A style-based genera- tor architecture for generative adversarial networks.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System A style-based genera- tor architecture for generative adversarial networks

Reference 19

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Observation cfe33ca9-5d4d-4839-b65a-0263958cbb6b · outbound

This paper cites Auto-Encoding Variational Bayes.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Auto-Encoding Variational Bayes

Reference 20

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Observation b5e3cbf0-1564-416e-85b1-81d18d2fc40a · outbound

This paper cites Segment Anything.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Segment Anything

Reference 21

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Observation 88ec1e32-b1e7-474b-b9b3-46dc661c6f9a · outbound

This paper cites Zero-shot Image-to-Image Translation.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Zero-shot Image-to-Image Translation

Reference 22

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Observation 48a1a1ea-394f-4e1e-b17f-0556190b42aa · outbound

This paper cites Pose guided person im- age generation.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Pose guided person im- age generation

Reference 23

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Observation 7ec3a9ba-5114-4b1f-aed0-cbbfa717242d · outbound

This paper cites Gpt-image-1: Openai’s multimodal foundation model for image editing and reasoning.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Gpt-image-1: Openai’s multimodal foundation model for image editing and reasoning

Reference 24

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Observation e569e93c-4b4e-4ca3-9cde-54664d7aa5cc · outbound

This paper cites Dinov2: Learning robust visual features without supervision.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Dinov2: Learning robust visual features without supervision

Reference 25

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Observation a0415958-797b-450d-9e5b-b36a87e62bd2 · outbound

This paper cites Learning transfer- able visual models from natural language supervision.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Learning transfer- able visual models from natural language supervision

Reference 26

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Observation 1bdb7d37-c638-49fd-a498-72f119a63466 · outbound

This paper cites Language models are unsupervised multitask learn- ers.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Language models are unsupervised multitask learn- ers

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:50:55.865072Z

Source-reported events for the cited work

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Observation 8bd93ab5-c8b4-4f73-814a-21b67eaa9b14 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 28

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Observation 6031f3bb-e663-406c-933c-e6aaf071d3a0 · outbound

This paper cites High-resolution image synthesis with latent diffu- sion models.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System High-resolution image synthesis with latent diffu- sion models

Reference 29

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Observation 5a7b884b-552a-4b16-a0c2-1332a48af296 · outbound

This paper cites Learning structured output representation using deep conditional generative models.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Learning structured output representation using deep conditional generative models

Reference 30

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Observation 1b6def74-dc09-42d8-a8d8-7625bbc49abd · outbound

This paper cites Neural discrete representation learning.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Neural discrete representation learning

Reference 31

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Observation 3fdc4b25-9ad0-413b-99df-36f8b1fcda8e · outbound

This paper cites Image quality assessment: From error visibility to structural similarity.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Image quality assessment: From error visibility to structural similarity

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:50:55.283919Z

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Observation b7d9d15b-9be9-4221-bc3c-04104db6ca3f · outbound

This paper cites Holistically-nested edge detection.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Holistically-nested edge detection

Reference 33

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Source-reported events for the cited work

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Observation a1499e35-6ea9-4581-8d0f-f913cb21fe7b · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Adding Conditional Control to Text-to-Image Diffusion Models

Reference 34

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Observation 27270036-937a-4e54-8901-65321ce91316 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System The unreasonable effectiveness of deep features as a perceptual metric

Reference 35

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Source-reported events for the cited work

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Observation 699db4fb-2483-48c8-83c4-223c136e7d8a · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks.

Generative AI for Industrial Contour Detection: A Language-Guided Vision System Unpaired image-to-image translation using cycle-consistent adversarial networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:50:55.050678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.