{"as_of":"2026-08-11T09:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dd4c47ac5d4f9d4e877e29b8ba358844d361010b05c5aafd474817beb4b48a2c","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:12:52.419836Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T09:09:08.161599Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T04:26:35.761893Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"cited_work":{"arxiv_id":"2501.09236","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.09236","snapshot_observed_at":"2026-07-02T04:26:35.761893Z","title":null,"venue":null,"work_id":"c15aa7f1-01d7-4ee5-ad37-401372fe29a8","year":2025},"citing_paper":{"arxiv_id":"2606.03378","last_updated":"2026-06-02T09:23:35Z","snapshot_observed_at":"2026-08-07T23:58:50.087772Z","submitted_at":"2026-06-02T09:23:35Z","title":"Neural Change Prediction: Relating Software Changes to Their Effects and Vice Versa","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-28T09:09:08.161599Z"},"links":{"cited_paper":"/paper/2501.09236","citing_paper":"/paper/2606.03378"},"observation_digest":"sha256:caccfa8873df0f7133ace5747f0ecae822b00b7b9ef69634483c4872a96e9832","observation_id":"55298841-2fff-40b7-af32-8c30b266f753","resolution":{"observed_at":"2026-07-02T04:26:35.763323Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.09236/citation-record","integrity":"/paper/2501.09236/integrity","json":"/paper/2501.09236/citation-record.json","paper":"/paper/2501.09236"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:53.018589Z","title":"Maintenance of Automated Test Suites in Industry: An Empirical Study on Visual GUI Testing,","venue":null,"work_id":"3a9b062f-adae-4733-be9e-43738771167c","year":2016},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.232175Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:a90bad5617c95095142648c48318dfa8b1279054acf66d6390b183dc8ab2b056","observation_id":"79bc2208-0ef0-4201-a84b-25f53bf2deb1","resolution":{"observed_at":"2026-08-10T20:12:53.022991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:53.006198Z","title":"How King Uses AI to Test Candy Crush Saga","venue":null,"work_id":"88d5aa7f-c04f-4cd4-8880-9b036869dfa2","year":2019},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.236878Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:324cbebdb5fc43b191ae5832b3c73d8a811fc9a086f891adf70a37f7cfbcbc72","observation_id":"b2616e23-b789-4369-9115-c8e206ddfee5","resolution":{"observed_at":"2026-08-10T20:12:53.010415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.994007Z","title":"About Canvas","venue":null,"work_id":"4f34e538-c434-4e02-84ea-61cfa1619ddc","year":2013},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.241124Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:4c309dda575896504b449f69b4c764ba7631988e863614650165ca5cf24e2614","observation_id":"3ae83740-9007-43a0-8d31-92bd822db46b","resolution":{"observed_at":"2026-08-10T20:12:52.997934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.982651Z","title":"A Framework for Automated Testing of JavaScript Web Applications,","venue":null,"work_id":"7d270f4d-c431-48a4-9ce0-b6f38ec23e11","year":2011},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.245529Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:c1b2e8aa8797b165cf8bde7f088c7bb9494fec6e4a18241e69233c6e0594750d","observation_id":"26d70542-fdfa-4da8-af56-6b2a5b903b48","resolution":{"observed_at":"2026-08-10T20:12:52.986978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.971527Z","title":"Mining Questions Asked by Web Developers,","venue":null,"work_id":"6c5af731-5aaf-4555-8750-cc94a8f9518c","year":2014},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.249649Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:6b372d055d33ca070c0b6924d79ab751eb5db41dc50bed49ec849a271ab07eaa","observation_id":"9fdb158e-77ff-4c43-bbec-88b4bd837631","resolution":{"observed_at":"2026-08-10T20:12:52.975226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.959952Z","title":"Web Canvas Testing Through Visual Inference,","venue":null,"work_id":"2033f781-b64c-4262-9fc9-f2015adf36eb","year":2018},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.253717Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:6cde3675c2974f86a1b9cd88286ab067a3c86d9b4119c865bc866103055e3f90","observation_id":"123c0c3c-9e90-49fd-b29e-a0e1034b4317","resolution":{"observed_at":"2026-08-10T20:12:52.963946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.948265Z","title":"A Survey on the Use of Computer Vision to Improve Software Engineering Tasks,","venue":null,"work_id":"cecf14ac-f1c5-4bf3-a8d7-040b3d4762f6","year":2020},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.258285Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:154597d4c1fc3adee2ce19230a8109dd09250cefac7f44c70e749d17da517036","observation_id":"824bd264-7b35-4eef-b03b-0a3a6db380fc","resolution":{"observed_at":"2026-08-10T20:12:52.952702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.936864Z","title":"Graphical User Interface (GUI) Testing: Systematic Mapping and Repository,","venue":null,"work_id":"c8603217-91a8-462f-8dde-8e37ce4b5e5e","year":2013},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.262950Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:27c49fd72a43bb35f43bf9debece22137de89d52a8a140706c7e61b28325e74a","observation_id":"560fa3d0-85dd-47bb-a3f0-14624eb1aa62","resolution":{"observed_at":"2026-08-10T20:12:52.940816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.925179Z","title":"Search Based Path and Input Data Generation for Web Application Testing,","venue":null,"work_id":"3a15ad58-f886-4bc9-b56a-0d039bc3890e","year":2017},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.267993Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:417b404b148d53ee94594c83fdffe30308e3b244d51b888b428a51aa69abdee6","observation_id":"d23e112b-c896-4cbf-aa0a-71e5f4439574","resolution":{"observed_at":"2026-08-10T20:12:52.929328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.913016Z","title":"Diversity-Based Web Test Generation,","venue":null,"work_id":"322eb5cf-261e-4065-a313-7aae90cadfe4","year":2019},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.272685Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:eec07ef64dbcc5d498a233fd72fa7f967cea2b28f9cf641e45c078ae262ebb3d","observation_id":"3d90606b-7995-4568-968b-20dc1849be86","resolution":{"observed_at":"2026-08-10T20:12:52.917448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.900351Z","title":"GUI Testing Using Computer Vision,","venue":null,"work_id":"c3f39591-75af-4774-a220-817cc2352b9e","year":2010},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.276492Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:6f8e5b27539583572161ebc621fdac09c7bf48d703471d3e814c80a59dea5237","observation_id":"84ddcc6e-e53e-4050-a730-3cb43d689dc2","resolution":{"observed_at":"2026-08-10T20:12:52.904548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03374","last_updated":"2021-07-14T17:16:02Z","snapshot_observed_at":"2026-08-08T11:58:24.516369Z","submitted_at":"2021-07-07T17:41:24Z","title":"Evaluating Large Language Models Trained on Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.03374","snapshot_observed_at":"2026-08-10T20:12:52.280484Z","title":"Evaluating Large Language Models Trained on Code,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.280484Z"},"links":{"cited_paper":"/paper/2107.03374","citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:5d32b7e2a9f7ef915b60a5536a9788d7e43344c7e11584f7446f82d039e891c9","observation_id":"667fc97c-d22a-480d-9121-27a71bf71953","resolution":{"observed_at":"2026-08-10T20:12:52.280484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.887783Z","title":"Search- Based Testing for Scratch Programs,","venue":null,"work_id":"1ddd16e7-15c6-460c-91a6-c57014de314f","year":2020},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.284571Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:1794ca52314478dd94dbda44325d434480d5ab1339e086fd33bf393443dcecad","observation_id":"446dfc87-66e9-4708-8b2b-4e5f118ea821","resolution":{"observed_at":"2026-08-10T20:12:52.892252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.876368Z","title":"Web Application Testing: A Systematic Literature Review,","venue":null,"work_id":"06c2fecf-9659-4d04-b580-fe1773c52d2a","year":2014},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.288532Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:77622af472e552fdb5397334d709d748655afa233176bc532f9b670b0a5f0bcb","observation_id":"b20c1df0-3034-4a96-be6e-b9a434ce72a6","resolution":{"observed_at":"2026-08-10T20:12:52.880504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.07829","last_updated":"2024-09-12T08:25:33Z","snapshot_observed_at":"2026-07-06T19:14:08.207029Z","submitted_at":"2024-09-12T08:25:33Z","title":"Enabling Cost-Effective UI Automation Testing with Retrieval-Based LLMs: A Case Study in WeChat","version":1},"cited_work":{"arxiv_id":"2409.07829","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.07829","snapshot_observed_at":"2026-08-10T20:12:52.506065Z","title":"Enabling Cost-Effective UI Automation Testing with Retrieval-Based LLMs: A Case Study in WeChat","venue":"cs.SE","work_id":"5a1b2bda-0f85-40a1-9fcc-ba8cafa60c7b","year":2024},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.292223Z"},"links":{"cited_paper":"/paper/2409.07829","citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:6ccbd161d451a34c9010408144a1049dd2d176b429ea68b8e9a9ecdf5bf0fa12","observation_id":"79949604-c023-46fb-b1c8-eb9da5a02c96","resolution":{"observed_at":"2026-08-10T20:12:52.509907Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.865037Z","title":"Exploring the Dependencies of a Repository","venue":null,"work_id":"abbb311a-46c9-48b0-90fe-98f141813b6a","year":2024},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.296192Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:92c6ae885d6e7dccf08eea21d973c6789ec32a4da1c70b1608213ab037957cea","observation_id":"06416143-d3e8-4c35-bea5-4d3fdb81d460","resolution":{"observed_at":"2026-08-10T20:12:52.869027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.850173Z","title":"An Oracle Based on Im- age Comparison for Regression Testing of Web Applications,","venue":null,"work_id":"c4302cdb-0744-4538-92bd-8264599b01d7","year":2015},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.300149Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:4105c2b33fd1a171d83f4d6e00f18174be51db897a035d1285a33108cb0ba35a","observation_id":"8d610f78-565e-4b40-868c-61d1224e162b","resolution":{"observed_at":"2026-08-10T20:12:52.854754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.839899Z","title":"Visual Testing of Graphical User Interfaces: An Exploratory Study Towards Systematic Definitions and 36 Finlay Macklon, Cor-Paul Bezemer Approaches,","venue":null,"work_id":"9794b8cd-c4d2-42ec-a24f-e7d99f46eec2","year":2012},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.303045Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:72af0ed97c7ba6e53228deb9ba0357b141a660f5a400f64b44b939e68027585a","observation_id":"59ebcc38-52a5-4713-ad74-88eab3ba15a8","resolution":{"observed_at":"2026-08-10T20:12:52.843512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19053","last_updated":"2024-07-26T19:18:35Z","snapshot_observed_at":"2026-08-04T15:39:36.937840Z","submitted_at":"2024-07-26T19:18:35Z","title":"A Study of Using Multimodal LLMs for Non-Crash Functional Bug Detection in Android Apps","version":1},"cited_work":{"arxiv_id":"2407.19053","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.19053","snapshot_observed_at":"2026-08-10T20:12:52.486822Z","title":"A Study of Using Multimodal LLMs for Non-Crash Functional Bug Detection in Android Apps","venue":"cs.SE","work_id":"f9a96fcc-5c3d-4fd2-8e81-c14d7c09b4ed","year":2024},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.307027Z"},"links":{"cited_paper":"/paper/2407.19053","citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:d36399c006f0b8f30f78e9ee1d717bafbc2f31e0c1002d29543469057ecb8d62","observation_id":"2b111b7c-6851-45e5-bfc8-0dd8ae00e7aa","resolution":{"observed_at":"2026-08-10T20:12:52.493087Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.829779Z","title":"The Promises and Perils of Mining GitHub,","venue":null,"work_id":"1f7986a6-c8a9-4697-aa2e-0212bc9e6367","year":2014},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.310873Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:ad1b8bb288ec0c9873ab4e218bc2842015f9d1bcf4c9341985444598f261642b","observation_id":"797e6baf-39c5-4a83-bda4-b2e7f438bf29","resolution":{"observed_at":"2026-08-10T20:12:52.833182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.13649","last_updated":"2024-06-06T02:01:09Z","snapshot_observed_at":"2026-08-05T16:01:54.847394Z","submitted_at":"2024-01-24T18:35:21Z","title":"VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.13649","snapshot_observed_at":"2026-08-10T20:12:52.314007Z","title":"Visualwebarena: Evaluating multi- modal agents on realistic visual web tasks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.314007Z"},"links":{"cited_paper":"/paper/2401.13649","citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:f4d727c6d3fd31569f6833b2d59ef0868e4686b337582fd347f16cf0e2738c54","observation_id":"2e9f694a-785b-4abf-8cfc-9d21c4606c5a","resolution":{"observed_at":"2026-08-10T20:12:52.314007Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.818843Z","title":"Visual vs. DOM-Based Web Locators: An Empirical Study,","venue":null,"work_id":"3ed007d2-07d9-4c5b-b6af-ae6def124ed9","year":2014},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.317474Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:292469ffed24de47dc79ae3e3ac3d86dac1b69954975f3dd5f3a845b133788bc","observation_id":"6565d5d0-dd97-4d6b-9ecc-dbc282f98a56","resolution":{"observed_at":"2026-08-10T20:12:52.822628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.806583Z","title":"On the Accu- racy, Efficiency, and Reusability of Automated Test Oracles for Android Devices,","venue":null,"work_id":"bc4d85bd-2b77-4bab-82ca-9697edf2e6d6","year":2014},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.320609Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:45b2269f5f0e547ac0c2ed073506fd4ada23a9c5b6112afc86d5cfdf98bea3e0","observation_id":"ba12e4ab-bc89-4ca0-a1be-7ef405d8b333","resolution":{"observed_at":"2026-08-10T20:12:52.811404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03037","last_updated":"2024-12-04T08:00:42Z","snapshot_observed_at":"2026-08-09T04:56:37.769686Z","submitted_at":"2024-07-03T11:58:09Z","title":"Seeing is Believing: Vision-driven Non-crash Functional Bug Detection for Mobile Apps","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.03037","snapshot_observed_at":"2026-08-10T20:12:52.323578Z","title":"Vision-Driven Automated Mobile GUI Testing via Multimodal Large Language Model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.323578Z"},"links":{"cited_paper":"/paper/2407.03037","citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:ed49acd5bfeb78a7e7cfc86dd677ffc3407083c5bd4e4f209b7648584e9212f1","observation_id":"e6e44c55-5ca4-484c-9f25-d1af2ab54762","resolution":{"observed_at":"2026-08-10T20:12:52.323578Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.795385Z","title":"Automatically Detect- ing Visual Bugs in HTML5 Canvas Games,","venue":null,"work_id":"557d427a-0875-4174-b2a8-23551af17871","year":2022},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.327673Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:88a46b956dd51a9846c5d8538d87d7d1ee4951ae89251c2949bd5f6bf0ef29bb","observation_id":"5a64cb40-a617-4ddf-8c5d-52a7956d9343","resolution":{"observed_at":"2026-08-10T20:12:52.799688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.784103Z","title":"A Taxonomy of Testable HTML5 Canvas Issues,","venue":null,"work_id":"3b2b0ced-8c00-4a50-b9c8-66d42eed6f9b","year":2023},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.331741Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:70b8faaf995ec61775adfa8730e55957726a03c009a07850b9fe42864eedd1d3","observation_id":"b8751ba1-569e-4e6f-9793-679ae7cf889f","resolution":{"observed_at":"2026-08-10T20:12:52.788151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.773006Z","title":"Finding HTML Presentation Fail- ures Using Image Comparison Techniques,","venue":null,"work_id":"1d882707-43b0-4f44-a4fc-3a79262501b0","year":2014},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.335919Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:fc9b4e1a3b2373e6b2234b06b8cdf5a6037f8f4f5b939ee50ae2381c437e4b46","observation_id":"fac72af0-3a96-4cfd-98e7-c98259bd9302","resolution":{"observed_at":"2026-08-10T20:12:52.776949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.761449Z","title":"The Fault in Our Stars: Designing Reproducible Large-scale Code Analysis Experiments,","venue":null,"work_id":"ee757503-1316-446e-ba7e-ab1700948006","year":2024},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.339741Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:7acb760926fb0f07bef3476f44bccda195ed22179ad653806be30d86c89ac3f1","observation_id":"fd58bc94-9971-4058-b9f3-30dd767c95de","resolution":{"observed_at":"2026-08-10T20:12:52.765596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.750844Z","title":"State-Based Testing of AJAX Web Applications,","venue":null,"work_id":"4b603ff8-468c-4c2e-9a5c-fba8838ebb46","year":2008},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.343380Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:3033f2f4138f6c699d506582736b6c49592b48369cbe1469e563a6a0429cef1a","observation_id":"4a6b8ba3-23f7-4eae-b790-d01d39fb45e9","resolution":{"observed_at":"2026-08-10T20:12:52.754756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.739052Z","title":"Crawling AJAX by Infer- ring User Interface State Changes,","venue":null,"work_id":"398ff683-cb82-43cc-82b7-3563ec92eb45","year":2008},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.347421Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:c3fb44a4018925ed38014888049cd74299723e92d12a66d98e9bfb01ceae8375","observation_id":"a010ef9b-4f58-4e2b-b280-adbee83368d4","resolution":{"observed_at":"2026-08-10T20:12:52.743209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.726676Z","title":"Invariant-Based Automatic Testing of AJAX User Interfaces,","venue":null,"work_id":"2630b1aa-a320-4857-a690-4e987f84e65c","year":2009},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.351504Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:2e567927c002f5a89002a406da57a74fbd5c40c70d2f0cfea9c916efccc7e1c6","observation_id":"91465862-448a-4c38-b1a4-66954a2d521d","resolution":{"observed_at":"2026-08-10T20:12:52.730748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.714670Z","title":"Handling User Input in HTML5 Canvas-Based Games","venue":null,"work_id":"25c8f916-d543-44f6-9419-bdeee71aba7b","year":2012},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.355185Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:10184e64cc8412e777030bb1f8d0ba192ee019cee04ec7541472f960db7d48de","observation_id":"a47e1112-eb10-46ce-b846-0c1da7e616ee","resolution":{"observed_at":"2026-08-10T20:12:52.718669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.702865Z","title":"De- tecting and Summarizing GUI Changes in Evolving Mobile Apps,","venue":null,"work_id":"fa5c4145-00f3-45f0-b640-0859ddcae8dd","year":2018},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.358987Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:38767b0c9b7e7646253630d809d38306a2916366fb6a3ae0c47fd689a2f94b98","observation_id":"fcd14821-7127-44c8-8bea-86785b935769","resolution":{"observed_at":"2026-08-10T20:12:52.707049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.692565Z","title":"Unity Application Testing Automation with Appium and Image Recognition,","venue":null,"work_id":"2e41d6a6-8b4e-4710-8fd8-9ae0e04c903d","year":2017},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.363074Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:30367c1dc8078a402ed5518009c0d61cfaf157130d7222fb7c6123b4ae802a2a","observation_id":"f169163d-a0b7-49d5-9217-da72591b18ca","resolution":{"observed_at":"2026-08-10T20:12:52.696013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.682241Z","title":"Canvas tutorial","venue":null,"work_id":"a247d6f0-c0bf-4c41-9e7b-20940bcede76","year":2024},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.366708Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:e21c016f8e0b95e05119ce87d26c3df7db39447ceed6adf8dd77c7a9b9b41183","observation_id":"3bec0e6b-7aec-45f6-9ff4-b27735add9f6","resolution":{"observed_at":"2026-08-10T20:12:52.685381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.671993Z","title":"WebGL tutorial","venue":null,"work_id":"c203f906-ddb4-4d9c-ab7a-a94796968a79","year":2024},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.370684Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:21daaa198563154e02c717317e792154d5841b42f820621f6be010ccbc0dcf18","observation_id":"11228794-29c4-4d93-b60f-0e99f5804bbb","resolution":{"observed_at":"2026-08-10T20:12:52.675318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.660581Z","title":"Curating GitHub for Engineered Software Projects,","venue":null,"work_id":"12e4975d-3524-46a7-9507-57d87b62ab69","year":2017},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.374952Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:c2d76626e5aa9ca02abe34b2f7a017803371ed5fb40a03a4d64e7c8580ab44e4","observation_id":"fb096c15-0205-4729-acec-deb8ece63097","resolution":{"observed_at":"2026-08-10T20:12:52.664596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.646282Z","title":"Web Test Automation: Insights from the Grey Literature,","venue":null,"work_id":"1c242da6-224d-4833-8ee0-4d775e674d2e","year":2021},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.378776Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:d271947c3ab7faaa76c2759688cc40ee50b3dd77824baf93fda560ba4d1fa81e","observation_id":"16196974-354d-4c7f-b205-b768face60a4","resolution":{"observed_at":"2026-08-10T20:12:52.650994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.10741","last_updated":"2024-09-16T21:18:39Z","snapshot_observed_at":"2026-08-11T01:17:47.446749Z","submitted_at":"2024-09-16T21:18:39Z","title":"NaviQAte: Functionality-Guided Web Application Navigation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.10741","snapshot_observed_at":"2026-08-10T20:12:52.382976Z","title":"NaviQAte: Functionality- Guided Web Application Navigation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.382976Z"},"links":{"cited_paper":"/paper/2409.10741","citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:38887fdc5a53b2c0d0090ed9e51af86543c52409c9827769e491ecc9ea2ee45d","observation_id":"1f36bd15-c43f-444c-95ca-9118a66cdcbd","resolution":{"observed_at":"2026-08-10T20:12:52.382976Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.634252Z","title":"A Framework of a Hybrid Focused Web Crawler,","venue":null,"work_id":"0666952f-482a-44bd-8e90-8d12b44c57e1","year":2008},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.387374Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:e9ece1e203a0c3b9fb15bf617a2dd0d711d21b2ba2782d256dd93ab6d873e8cb","observation_id":"897a7aa0-1cef-43d1-810a-a91280050554","resolution":{"observed_at":"2026-08-10T20:12:52.638199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.622505Z","title":"VideoGameBunny: Towards Vision Assistants for Video Games,","venue":null,"work_id":"382955be-ae5c-41ef-b4be-353fbaec60bb","year":2025},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.391382Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:c834924bd8070dfee9b7711deadd476a4a1c6d79b34ea3fbda882bcb4fd8474b","observation_id":"695e5dc0-f6f9-4f9c-bd83-645bac4b3856","resolution":{"observed_at":"2026-08-10T20:12:52.626524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.607720Z","title":"GlitchBench: Can Large Multimodal Models Detect Video Game Glitches?","venue":null,"work_id":"8db7d9da-0ae2-4483-ae05-ac70dd9f0615","year":2024},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.395512Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:fed4f3287d8b587b6335e9477d72c438393649588c3e4bf346a7d2463f727ddc","observation_id":"89affb42-88eb-402b-b9dd-77531d3b937c","resolution":{"observed_at":"2026-08-10T20:12:52.613356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.593766Z","title":"Support for Finding Presentation Failures by Using Computer Vision Techniques,","venue":null,"work_id":"681e997f-be5b-4e5a-a4fa-78174b0117a1","year":2018},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.399604Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:609fa2a067178f17f924f74c3aae9a7ceb4571cad6166b01435fe00f5477d5ec","observation_id":"bfa7b061-54a0-4ba8-a017-6854ae1bf3fa","resolution":{"observed_at":"2026-08-10T20:12:52.599091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.579481Z","title":"Prioritizing Natural Lan- guage Test Cases Based on Highly-Used Game Features,","venue":null,"work_id":"73208b23-c9ec-41f2-9264-6d97d8ba04c7","year":2023},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.403890Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:a028cd7ebcd0fab7558a376b816a0ce988a806a5dc8233f3b02c8fa26178743e","observation_id":"375245d8-e305-4d4b-b9e2-dcc6e69ea797","resolution":{"observed_at":"2026-08-10T20:12:52.583512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.566188Z","title":"Identifying Similar Test Cases that are Specified in Natural Language,","venue":null,"work_id":"3b018497-74d9-430e-884c-1bd4dbc5530d","year":2022},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.407760Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:764db83d175df74426d57c23ce12c32c96a94fbabe0595bded83de7bd095baf1","observation_id":"d31ec4c5-61bd-4be1-80b6-e540dd4bf79f","resolution":{"observed_at":"2026-08-10T20:12:52.570648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.553167Z","title":"Using Natural Language Processing Techniques to Improve Manual Test Case Descrip- tions,","venue":null,"work_id":"ded64e7f-04c1-4bd6-969b-46ace7784676","year":2022},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.411729Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:dba4a997bb53a5d64da3ce5c6e2d39405d8549b89b8620c5939ac806436b5ca3","observation_id":"83f2a818-570e-44e2-afb6-854f45b38ba0","resolution":{"observed_at":"2026-08-10T20:12:52.557466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.540405Z","title":"Sikuli: Using GUI Screenshots for Search and Automation,","venue":null,"work_id":"f1d9d608-3047-4b4a-9ef9-4af8b5333b27","year":2009},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.415572Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:bed37ec4315e9e767a521dd7a9e23bde71ef196c80136af961a262e8f888ea0e","observation_id":"f75557ae-8876-4a45-afb9-db6b11a21a16","resolution":{"observed_at":"2026-08-10T20:12:52.544483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:12:52.528996Z","title":"Vision-language models for vision tasks: A survey,","venue":null,"work_id":"14dcfe87-0097-48c7-a4f0-1572bea6332b","year":2024},"citing_paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:52.419836Z"},"links":{"citing_paper":"/paper/2501.09236"},"observation_digest":"sha256:5011d91641e843c7b7848c29afcccefc8539878719d71afd034f06fbfc30bb74","observation_id":"223d7309-9791-4c93-a87d-3c7ff5b6c9b8","resolution":{"observed_at":"2026-08-10T20:12:52.532835Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.09236","last_updated":"2025-01-16T01:42:33Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-10T20:06:07.489486Z","submitted_at":"2025-01-16T01:42:33Z","title":"Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":2,"verified_fuzzy":42},"total_outbound_references":48},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2501.09236."}