{"as_of":"2026-08-20T08:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f7904ceecaa9661cf5f271719aab439a579291db12b7564faa1d340f9cfab665","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T13:52:57.949433Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2605.24398/citation-record","integrity":"/paper/2605.24398/integrity","json":"/paper/2605.24398/citation-record.json","paper":"/paper/2605.24398"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T00:25:49.251378Z","title":"Adobe Systems Incorporated, San Jose, California, USA, 2025","venue":null,"work_id":"e01e4676-232a-46e3-9138-e24f3ed3c031","year":2025},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:69531809013d8475556c3fb7c36a7b12fbc101805e9d058520dca9d76de22c80","observation_id":"a18b2300-5374-4623-91ac-772035a4cef0","resolution":{"observed_at":"2026-07-09T00:25:49.252684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-09T00:25:49.249736Z","title":"CairoSVG: A Simple SVG Converter based on Cairo, 2012","venue":null,"work_id":"7bb11dd3-9748-4b2a-a673-1126a122b0ed","year":2012},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:7ae8ecc1c9b6a4474c6eec7f5415163442fe5737f03bd6ad9f3cb21b7cf99fb7","observation_id":"ee4f4a91-8d49-4c76-8f30-ee7b24c1f4c0","resolution":{"observed_at":"2026-07-09T00:25:49.250825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-09T00:25:49.240817Z","title":"Sketching clothoid splines using shortest paths.Computer Graphics Forum, 29(2):655–664, 2010","venue":null,"work_id":"ff68cab6-277d-4fe8-aea0-d65206e3a6e3","year":2010},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:d6779b27cac49812bf0c30ef758fb992e83d5e2f4d20affa71c92011d8e76d1e","observation_id":"114c33d4-a7ba-4fa4-9e07-0ac5e6340b65","resolution":{"observed_at":"2026-07-09T00:25:49.242105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-09T00:25:49.242618Z","title":"Emerg- ing properties in self-supervised vision transformers","venue":null,"work_id":"efc89dc3-cb99-41b1-afc6-1214de977e22","year":2021},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:8c4a031ff1dc5e63fc10017028e829f8a21962344ec5a5c631a22d933bdc38c5","observation_id":"e622e87c-4589-4847-941e-7ca54f743e82","resolution":{"observed_at":"2026-07-09T00:25:49.243813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-09T00:25:49.244553Z","title":"Image Vec- torization via Gradient Reconstruction.Computer Graphics Forum, 2025","venue":null,"work_id":"0f284385-e611-49ac-becd-25935fdeb473","year":2025},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:afd57b2fed2f0e1810758d2e84fc77b733967f20df3946b4db13b661f8ff91f4","observation_id":"16c5678a-33ce-4a6a-aa9d-d441e0ebb681","resolution":{"observed_at":"2026-07-09T00:25:49.245783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-09T00:25:49.246325Z","title":"Svgenius: Benchmarking llms in svg understand- ing, editing and generation, 2025","venue":null,"work_id":"678546ee-5e48-4f7a-b389-f6862d640f0d","year":2025},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:005b9df056a415efe3e102fb4a8bb26f470d05dea4198eec1aa7f6df5427e238","observation_id":"98b3cd1a-e654-4c56-bad7-eb4acc0f0701","resolution":{"observed_at":"2026-07-09T00:25:49.247507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-09T00:25:49.248047Z","title":"Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks","venue":null,"work_id":"314468d4-2223-4153-8e31-d588e7b7ad30","year":2024},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:d3f4bb97358b3f35049232e5fec26d2a166ba9e4d2bb4ecf08bdc535a7e58103","observation_id":"e3c01b9c-7ad4-4e21-8cc3-cbe2cfea687c","resolution":{"observed_at":"2026-07-09T00:25:49.249206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.06261","last_updated":"2025-12-19T14:25:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-07T17:36:04Z","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","version":6},"cited_work":{"arxiv_id":"2507.06261","doi":"10.48550/arxiv.2503.19","metadata_source":"pith","pith_arxiv_id":"2507.06261","snapshot_observed_at":"2026-07-11T03:17:51.364436Z","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","venue":"cs.CL","work_id":"008df105-2fdd-45d8-857a-8e35868aecb6","year":2025},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"cited_paper":"/paper/2507.06261","citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:5f479aca26751aa9bcc8250b371dc25eafa778486974f2710ee1ba361e94c32f","observation_id":"27cf04b1-7a80-4c17-9174-798ff6705d92","resolution":{"observed_at":"2026-06-30T13:54:43.817738Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-09T00:25:49.269179Z","title":"Skia: A 2D Graphics Library, 2005","venue":null,"work_id":"fffa4922-72ca-477a-a64e-7463e09d463b","year":2005},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:b2aa0e17751adbea850e058cf52604a37f3d031b5394b271ef7a5e7621483dab","observation_id":"374a771b-f0fa-49b6-ae6b-e2e031056b62","resolution":{"observed_at":"2026-07-09T00:25:49.270238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-17T18:04:53.578114Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":"2106.09685","doi":"10.4088/pcc.v03n0609","metadata_source":"pith","pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","venue":"cs.CL","work_id":"0426219a-789e-4964-adc8-a04538510818","year":2021},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:34afca82b021ba70fe000068c0c9558c3c14b533be3c72f6c4d9910dfeeaa101","observation_id":"c86b0b2c-3266-4085-88b2-2008b8554675","resolution":{"observed_at":"2026-06-30T13:54:43.827586Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-09T00:25:49.263506Z","title":"Differentiable vector graphics rasterization for edit- ing and learning.ACM Transactions on Graphics (TOG), 39 (6):1–15, 2020","venue":null,"work_id":"a1aef097-12f5-45f4-9c93-5bc4831db951","year":2020},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:1530add89e0e989cc7860253274c9c1c12e103362559f39592a2f230f8c1a16c","observation_id":"7f8b4e9e-ab38-441f-b97a-a367bfd9fc17","resolution":{"observed_at":"2026-07-09T00:25:49.265063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-09T00:25:49.265602Z","title":"Decoupled weight de- cay regularization","venue":null,"work_id":"aaa4d44f-b81a-449f-a3ea-e9a244634864","year":2019},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:0c766312b8efe1adb3618afb54489bfd135ed186bf144265112128641347948a","observation_id":"2879709c-cee3-4536-800a-a90fd7826b78","resolution":{"observed_at":"2026-07-09T00:25:49.266776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-09T00:25:49.258369Z","title":"Towards layer- wise image vectorization","venue":null,"work_id":"43ace00a-257b-4946-b4d9-f37b5ea7b44e","year":2022},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:e88b9f1ce99b6b068d5ff35a2f5ffc02e1ada01a2b74f8610366ecfabf72617f","observation_id":"bd823c04-1187-4b54-98b3-9d860c5c8cba","resolution":{"observed_at":"2026-07-09T00:25:49.259538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-09T00:25:49.260079Z","title":"Gpt-4o system card","venue":null,"work_id":"ebd64501-fd2c-4ca6-981d-bf988eb57341","year":null},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:efe53bf6442527da798d04a6b1c01af7e46d2d275fb0f49f1ec3537633a7c459","observation_id":"532a3837-c780-421d-8a3f-f25786ffb192","resolution":{"observed_at":"2026-07-09T00:25:49.261215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-09T00:25:49.254903Z","title":"VTracer: Raster to Vector Graphics Converter, 2020","venue":null,"work_id":"21240306-4314-4617-8cfa-32dbf04dff72","year":2020},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:5b7b029206bb9518c41422d624ca9ce68b461ff9b05a8d4621266b21f2ab22e5","observation_id":"5db6a985-6eb2-4126-896e-4bc0fe575ae0","resolution":{"observed_at":"2026-07-09T00:25:49.256074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-09T00:25:49.253259Z","title":null,"venue":null,"work_id":"16a80a9e-769c-44bf-a0bb-8d13348e7643","year":2025},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:ba9f6be94107531abc82a800c10d52bd2836d342edfd7f00acfb01361865cb3c","observation_id":"253cc2a7-680a-4d4f-9110-2e51823e165e","resolution":{"observed_at":"2026-07-09T00:25:49.254408Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11556","last_updated":"2025-05-31T14:41:26Z","snapshot_observed_at":"2026-08-18T04:30:31.732256Z","submitted_at":"2023-12-17T08:07:32Z","title":"StarVector: Generating Scalable Vector Graphics Code from Images and Text","version":4},"cited_work":{"arxiv_id":"2312.11556","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.11556","snapshot_observed_at":"2026-06-30T13:54:43.813926Z","title":"Starvector: Generating scalable vector graphics code from images","venue":null,"work_id":"db6e9d70-04e5-49a6-ab05-2a102712f4d1","year":2025},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"cited_paper":"/paper/2312.11556","citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:2ba25c136fa9064bae83d8a321434b11afb19126c3356daeb3d4e43b9ef8ea17","observation_id":"e1dc372e-f358-4ad0-9fb6-2dc1a2611408","resolution":{"observed_at":"2026-06-30T13:54:43.815338Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-09T00:25:49.256625Z","title":"Potrace: a polygon-based tracing algorithm","venue":null,"work_id":"17feda46-9f62-41cb-b820-175fda1a2f75","year":2003},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:bfb4b06051d347d6714d84d4cc61d92c774d7d519aa1724a02c68a92dee865e3","observation_id":"d3cb4c4f-ae33-4e11-87ec-b691ad471836","resolution":{"observed_at":"2026-07-09T00:25:49.257833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03314","last_updated":"2024-08-06T17:35:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-06T17:35:05Z","title":"Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters","version":1},"cited_work":{"arxiv_id":"2408.03314","doi":"10.18653/v1/2025.acl-long.1486","metadata_source":"pith","pith_arxiv_id":"2408.03314","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters","venue":"cs.LG","work_id":"a8d50b24-bdf5-46ed-bc4f-2927dfd81f1d","year":2024},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"cited_paper":"/paper/2408.03314","citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:8d1fe7a87de1ee1844e8137aae6678b62803949c979b37e832d4ea340d52fb68","observation_id":"b6003381-e4e7-40e2-8af2-6b2200f4d48f","resolution":{"observed_at":"2026-06-30T13:54:43.834998Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.11341","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T15:48:35.105388Z","title":"Internsvg: Towards unified svg tasks with multimodal large language models","venue":null,"work_id":"036b9740-84ea-408f-a6c2-79ec1e69b031","year":2025},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:7f76c74c75d7afbeb7e1cf93f98ca48781124858902c604af95ab2985054682e","observation_id":"143b7019-ee56-440a-b6ba-2173ee6f28fb","resolution":{"observed_at":"2026-06-30T13:54:43.832640Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-09T00:25:49.261758Z","title":"Image quality assessment: From error visibility to structural similarity.IEEE Transactions on Image Process- ing, 13(4):600–612, 2004","venue":null,"work_id":"73342df7-29f4-44c3-8f05-e44f5b383bb4","year":2004},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:27c7a53011f712caff09757e2e728dc1f51fd537dcaaee758fa511d27e2e4123","observation_id":"9d2fd9cc-a8b8-46e2-9bd0-e3ca3a536408","resolution":{"observed_at":"2026-07-09T00:25:49.262984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.11102","last_updated":"2025-03-25T15:35:29Z","snapshot_observed_at":"2026-08-18T14:05:02.198883Z","submitted_at":"2024-12-15T07:49:31Z","title":"Empowering LLMs to Understand and Generate Complex Vector Graphics","version":3},"cited_work":{"arxiv_id":"2412.11102","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.11102","snapshot_observed_at":"2026-06-30T13:54:43.828660Z","title":"Empowering llms to understand and generate complex vector graphics","venue":null,"work_id":"9a7565c8-cb7a-48f6-a8e6-86a33abf0e49","year":2024},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"cited_paper":"/paper/2412.11102","citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:324775abb80d12b6c68328b8e75cf11b0913b5e34d5ea7cb9d8c06d402c6ba87","observation_id":"96e97777-f3a9-42d1-a544-8cea9ac8bfe1","resolution":{"observed_at":"2026-06-30T13:54:43.830073Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1602.01913","last_updated":"2016-02-05T02:50:43Z","snapshot_observed_at":"2026-08-14T22:11:35.087446Z","submitted_at":"2016-02-05T02:50:43Z","title":"Effective Clipart Image Vectorization Through Direct Optimization of Bezigons","version":1},"cited_work":{"arxiv_id":"1602.01913","doi":null,"metadata_source":"pith","pith_arxiv_id":"1602.01913","snapshot_observed_at":"2026-06-30T13:54:43.824167Z","title":"Effective Clipart Image Vectorization Through Direct Optimization of Bezigons","venue":"cs.GR","work_id":"9facd5da-446c-442f-9b7d-6ebf8ffd6eec","year":2016},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"cited_paper":"/paper/1602.01913","citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:0fd6f21884ecddcb5fdb962999bf6823d116632f964eedcdee037080aedf64e3","observation_id":"63b27a17-e689-4c03-8840-078f9a73e102","resolution":{"observed_at":"2026-06-30T13:54:43.825341Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2504.06263","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T13:54:43.821476Z","title":"Omnisvg: A unified scalable vector graphics generation model","venue":null,"work_id":"e1da3e7b-b2cc-4055-982f-477cbcace176","year":2025},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:856e28c3374522f124afdef23e0c9ccc35d93c67d876bf0214e99adf326d0195","observation_id":"29dbbf52-3be1-42f9-8d4d-8bd33cb43774","resolution":{"observed_at":"2026-06-30T13:54:43.822907Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-09T00:25:49.267334Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":"fe6ff9e9-5265-4a29-9834-3b76e7203682","year":2018},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:39a17a56a3f3cfae833d0956c2684376c963381fb008b4ba25052d6ac6e17658","observation_id":"088237e0-c150-4b61-82a6-48c5a163f79c","resolution":{"observed_at":"2026-07-09T00:25:49.268488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"0800.0240","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T13:54:43.811240Z","title":"Outline Comparison on Noisy Inputs Figure 9 compares the generated outlines on noisy inputs","venue":null,"work_id":"b9f1f0dc-e5b7-42b2-aa71-58784236a9c9","year":null},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:b1c39b04e75b7336a27f8363d0d2ccbf596ac34a914f13a06491eaaa18f12e9e","observation_id":"b1e9f4da-1187-4344-8833-d8ce6c23494e","resolution":{"observed_at":"2026-06-30T13:54:43.812905Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"8310.1845","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T13:54:43.818869Z","title":"This design simplifies the learning task and improves robustness to appearance variations","venue":null,"work_id":"229ca15b-73bd-4b28-94ce-640fa2f8835b","year":1944},"citing_paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-30T13:52:57.949433Z"},"links":{"citing_paper":"/paper/2605.24398"},"observation_digest":"sha256:0241d77ad4cd064e79681f3a925e6853fa47ab5e13fb55ce3e5334142b85acb5","observation_id":"0b5dbc41-c10a-4a22-8fb7-6a35ba2a73a1","resolution":{"observed_at":"2026-06-30T13:54:43.820274Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.24398","last_updated":"2026-05-23T04:53:28Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T07:16:50.393521Z","submitted_at":"2026-05-23T04:53:28Z","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":1,"verified_exact":9,"verified_fuzzy":16},"total_outbound_references":27},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2605.24398."}