Paper Citation Record · LEDGER

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications

As of 13 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2501.09236.

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

pith.paper-citation-record.v1
2501.09236 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:12:52.419836Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T09:09:08.161599Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T04:26:35.761893Z

Reference resolution

48 of 48 outbound references displayed

verified exact2
verified fuzzy42
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79bc2208-0ef0-4201-a84b-25f53bf2deb1 · outbound

This paper cites Maintenance of Automated Test Suites in Industry: An Empirical Study on Visual GUI Testing,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Maintenance of Automated Test Suites in Industry: An Empirical Study on Visual GUI Testing,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:53.022991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b2616e23-b789-4369-9115-c8e206ddfee5 · outbound

This paper cites How King Uses AI to Test Candy Crush Saga.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications How King Uses AI to Test Candy Crush Saga

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:53.010415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3ae83740-9007-43a0-8d31-92bd822db46b · outbound

This paper cites About Canvas.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications About Canvas

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.997934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 26d70542-fdfa-4da8-af56-6b2a5b903b48 · outbound

This paper cites A Framework for Automated Testing of JavaScript Web Applications,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications A Framework for Automated Testing of JavaScript Web Applications,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.986978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9fdb158e-77ff-4c43-bbec-88b4bd837631 · outbound

This paper cites Mining Questions Asked by Web Developers,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Mining Questions Asked by Web Developers,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.975226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 123c0c3c-9e90-49fd-b29e-a0e1034b4317 · outbound

This paper cites Web Canvas Testing Through Visual Inference,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Web Canvas Testing Through Visual Inference,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.963946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 824bd264-7b35-4eef-b03b-0a3a6db380fc · outbound

This paper cites A Survey on the Use of Computer Vision to Improve Software Engineering Tasks,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications A Survey on the Use of Computer Vision to Improve Software Engineering Tasks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.952702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 560fa3d0-85dd-47bb-a3f0-14624eb1aa62 · outbound

This paper cites Graphical User Interface (GUI) Testing: Systematic Mapping and Repository,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Graphical User Interface (GUI) Testing: Systematic Mapping and Repository,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.940816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d23e112b-c896-4cbf-aa0a-71e5f4439574 · outbound

This paper cites Search Based Path and Input Data Generation for Web Application Testing,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Search Based Path and Input Data Generation for Web Application Testing,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.929328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3d90606b-7995-4568-968b-20dc1849be86 · outbound

This paper cites Diversity-Based Web Test Generation,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Diversity-Based Web Test Generation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.917448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 84ddcc6e-e53e-4050-a730-3cb43d689dc2 · outbound

This paper cites GUI Testing Using Computer Vision,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications GUI Testing Using Computer Vision,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.904548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 667fc97c-d22a-480d-9121-27a71bf71953 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Evaluating Large Language Models Trained on Code

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:52.280484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 446dfc87-66e9-4708-8b2b-4e5f118ea821 · outbound

This paper cites Search- Based Testing for Scratch Programs,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Search- Based Testing for Scratch Programs,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.892252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b20c1df0-3034-4a96-be6e-b9a434ce72a6 · outbound

This paper cites Web Application Testing: A Systematic Literature Review,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Web Application Testing: A Systematic Literature Review,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.880504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 79949604-c023-46fb-b1c8-eb9da5a02c96 · outbound

This paper cites Enabling Cost-Effective UI Automation Testing with Retrieval-Based LLMs: A Case Study in WeChat.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Enabling Cost-Effective UI Automation Testing with Retrieval-Based LLMs: A Case Study in WeChat

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:12:52.509907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 06416143-d3e8-4c35-bea5-4d3fdb81d460 · outbound

This paper cites Exploring the Dependencies of a Repository.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Exploring the Dependencies of a Repository

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.869027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8d610f78-565e-4b40-868c-61d1224e162b · outbound

This paper cites An Oracle Based on Im- age Comparison for Regression Testing of Web Applications,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications An Oracle Based on Im- age Comparison for Regression Testing of Web Applications,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.854754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 59ebcc38-52a5-4713-ad74-88eab3ba15a8 · outbound

This paper cites Visual Testing of Graphical User Interfaces: An Exploratory Study Towards Systematic Definitions and 36 Finlay Macklon, Cor-Paul Bezemer Approaches,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Visual Testing of Graphical User Interfaces: An Exploratory Study Towards Systematic Definitions and 36 Finlay Macklon, Cor-Paul Bezemer Approaches,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.843512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2b111b7c-6851-45e5-bfc8-0dd8ae00e7aa · outbound

This paper cites A Study of Using Multimodal LLMs for Non-Crash Functional Bug Detection in Android Apps.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications A Study of Using Multimodal LLMs for Non-Crash Functional Bug Detection in Android Apps

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:12:52.493087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 797e6baf-39c5-4a83-bda4-b2e7f438bf29 · outbound

This paper cites The Promises and Perils of Mining GitHub,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications The Promises and Perils of Mining GitHub,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.833182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2e9f694a-785b-4abf-8cfc-9d21c4606c5a · outbound

This paper cites VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:52.314007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6565d5d0-dd97-4d6b-9ecc-dbc282f98a56 · outbound

This paper cites Visual vs. DOM-Based Web Locators: An Empirical Study,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Visual vs. DOM-Based Web Locators: An Empirical Study,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.822628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ba12e4ab-bc89-4ca0-a1be-7ef405d8b333 · outbound

This paper cites On the Accu- racy, Efficiency, and Reusability of Automated Test Oracles for Android Devices,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications On the Accu- racy, Efficiency, and Reusability of Automated Test Oracles for Android Devices,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.811404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e6e44c55-5ca4-484c-9f25-d1af2ab54762 · outbound

This paper cites Seeing is Believing: Vision-driven Non-crash Functional Bug Detection for Mobile Apps.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Seeing is Believing: Vision-driven Non-crash Functional Bug Detection for Mobile Apps

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:52.323578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a64cb40-a617-4ddf-8c5d-52a7956d9343 · outbound

This paper cites Automatically Detect- ing Visual Bugs in HTML5 Canvas Games,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Automatically Detect- ing Visual Bugs in HTML5 Canvas Games,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.799688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b8751ba1-569e-4e6f-9793-679ae7cf889f · outbound

This paper cites A Taxonomy of Testable HTML5 Canvas Issues,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications A Taxonomy of Testable HTML5 Canvas Issues,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.788151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fac72af0-3a96-4cfd-98e7-c98259bd9302 · outbound

This paper cites Finding HTML Presentation Fail- ures Using Image Comparison Techniques,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Finding HTML Presentation Fail- ures Using Image Comparison Techniques,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.776949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fd58bc94-9971-4058-b9f3-30dd767c95de · outbound

This paper cites The Fault in Our Stars: Designing Reproducible Large-scale Code Analysis Experiments,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications The Fault in Our Stars: Designing Reproducible Large-scale Code Analysis Experiments,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.765596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4a6b8ba3-23f7-4eae-b790-d01d39fb45e9 · outbound

This paper cites State-Based Testing of AJAX Web Applications,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications State-Based Testing of AJAX Web Applications,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.754756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a010ef9b-4f58-4e2b-b280-adbee83368d4 · outbound

This paper cites Crawling AJAX by Infer- ring User Interface State Changes,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Crawling AJAX by Infer- ring User Interface State Changes,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.743209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 91465862-448a-4c38-b1a4-66954a2d521d · outbound

This paper cites Invariant-Based Automatic Testing of AJAX User Interfaces,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Invariant-Based Automatic Testing of AJAX User Interfaces,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.730748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a47e1112-eb10-46ce-b846-0c1da7e616ee · outbound

This paper cites Handling User Input in HTML5 Canvas-Based Games.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Handling User Input in HTML5 Canvas-Based Games

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.718669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fcd14821-7127-44c8-8bea-86785b935769 · outbound

This paper cites De- tecting and Summarizing GUI Changes in Evolving Mobile Apps,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications De- tecting and Summarizing GUI Changes in Evolving Mobile Apps,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.707049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f169163d-a0b7-49d5-9217-da72591b18ca · outbound

This paper cites Unity Application Testing Automation with Appium and Image Recognition,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Unity Application Testing Automation with Appium and Image Recognition,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.696013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3bec0e6b-7aec-45f6-9ff4-b27735add9f6 · outbound

This paper cites Canvas tutorial.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Canvas tutorial

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.685381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 11228794-29c4-4d93-b60f-0e99f5804bbb · outbound

This paper cites WebGL tutorial.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications WebGL tutorial

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.675318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fb096c15-0205-4729-acec-deb8ece63097 · outbound

This paper cites Curating GitHub for Engineered Software Projects,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Curating GitHub for Engineered Software Projects,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.664596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 16196974-354d-4c7f-b205-b768face60a4 · outbound

This paper cites Web Test Automation: Insights from the Grey Literature,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Web Test Automation: Insights from the Grey Literature,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.650994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1f36bd15-c43f-444c-95ca-9118a66cdcbd · outbound

This paper cites NaviQAte: Functionality-Guided Web Application Navigation.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications NaviQAte: Functionality-Guided Web Application Navigation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:52.382976Z

Source-reported events for the cited work

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Observation 897a7aa0-1cef-43d1-810a-a91280050554 · outbound

This paper cites A Framework of a Hybrid Focused Web Crawler,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications A Framework of a Hybrid Focused Web Crawler,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.638199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 695e5dc0-f6f9-4f9c-bd83-645bac4b3856 · outbound

This paper cites VideoGameBunny: Towards Vision Assistants for Video Games,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications VideoGameBunny: Towards Vision Assistants for Video Games,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.626524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 89affb42-88eb-402b-b9dd-77531d3b937c · outbound

This paper cites GlitchBench: Can Large Multimodal Models Detect Video Game Glitches?.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications GlitchBench: Can Large Multimodal Models Detect Video Game Glitches?

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.613356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bfa7b061-54a0-4ba8-a017-6854ae1bf3fa · outbound

This paper cites Support for Finding Presentation Failures by Using Computer Vision Techniques,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Support for Finding Presentation Failures by Using Computer Vision Techniques,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.599091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 375245d8-e305-4d4b-b9e2-dcc6e69ea797 · outbound

This paper cites Prioritizing Natural Lan- guage Test Cases Based on Highly-Used Game Features,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Prioritizing Natural Lan- guage Test Cases Based on Highly-Used Game Features,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.583512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d31ec4c5-61bd-4be1-80b6-e540dd4bf79f · outbound

This paper cites Identifying Similar Test Cases that are Specified in Natural Language,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Identifying Similar Test Cases that are Specified in Natural Language,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.570648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 83f2a818-570e-44e2-afb6-854f45b38ba0 · outbound

This paper cites Using Natural Language Processing Techniques to Improve Manual Test Case Descrip- tions,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Using Natural Language Processing Techniques to Improve Manual Test Case Descrip- tions,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.557466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f75557ae-8876-4a45-afb9-db6b11a21a16 · outbound

This paper cites Sikuli: Using GUI Screenshots for Search and Automation,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Sikuli: Using GUI Screenshots for Search and Automation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.544483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 223d7309-9791-4c93-a87d-3c7ff5b6c9b8 · outbound

This paper cites Vision-language models for vision tasks: A survey,.

Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications Vision-language models for vision tasks: A survey,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:52.532835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 55298841-2fff-40b7-af32-8c30b266f753 · inbound

Neural Change Prediction: Relating Software Changes to Their Effects and Vice Versa cites this paper.

Neural Change Prediction: Relating Software Changes to Their Effects and Vice Versa Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-02T04:26:35.763323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.