{"as_of":"2026-08-13T08:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9ef4506b8896d7c460722247926cbbfdd457888a2a597a55af4f045450be8dbe","coverage":[{"denominator":140,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T11:54:48.514348Z","state":"measured"},{"denominator":102,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":102,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T17:14:45.909362Z","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":"2026-05-15T07:55:15.262125Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17673","snapshot_observed_at":"2026-08-08T17:14:45.909362Z","title":", Shaham, T R","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.05999","last_updated":"2025-02-09T19:02:32Z","snapshot_observed_at":"2026-08-13T08:24:01.597116Z","submitted_at":"2025-02-09T19:02:32Z","title":"Pencils to Pixels: A Systematic Study of Creative Drawings across Children, Adults and AI","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-08T17:14:45.909362Z"},"links":{"cited_paper":"/paper/2411.17673","citing_paper":"/paper/2502.05999"},"observation_digest":"sha256:45e3976ff5bb1a4976cb13ad5d4c0847b75a8fe8ee71b39e86a33e55d07cbaa4","observation_id":"3d1bacca-9f35-4398-9924-eab83cedfea2","resolution":{"observed_at":"2026-08-08T17:14:45.909362Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"cited_work":{"arxiv_id":"2411.17673","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.17673","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7754e9f8-debc-4986-b9f3-9f19b1ac2a75","year":2024},"citing_paper":{"arxiv_id":"2603.19500","last_updated":"2026-04-23T23:00:01Z","snapshot_observed_at":"2026-08-11T10:06:32.321937Z","submitted_at":"2026-03-19T22:08:53Z","title":"Teaching an Agent to Sketch One Part at a Time","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-15T07:53:15.953601Z"},"links":{"cited_paper":"/paper/2411.17673","citing_paper":"/paper/2603.19500"},"observation_digest":"sha256:308666c44a3b73007f040a84cb644a056cc4bbd746bc460cf58d9e7efde43432","observation_id":"58ebfe67-94d9-4119-8c84-82030ae7f97e","resolution":{"observed_at":"2026-05-15T07:55:15.265028Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.17673/citation-record","integrity":"/paper/2411.17673/integrity","json":"/paper/2411.17673/citation-record.json","paper":"/paper/2411.17673"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.052121Z","title":"Flamingo: a visual language model for few-shot learn- ing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.052121Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:dfc731e3c09c5b1be863eee8216599b16b18a528c0044817d4a8a49448331b4e","observation_id":"c42d097d-69e5-4ccf-ba08-65afa406414b","resolution":{"observed_at":"2026-08-12T11:54:48.052121Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.057707Z","title":"Drawing as a space for social-cognitive in- teraction","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.057707Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:ae68be32108119f379d98369ac80a0a4c2df4fd5fd66c810b44668cb90a25575","observation_id":"265029e6-efb0-4feb-bbc3-18e88a2a3312","resolution":{"observed_at":"2026-08-12T11:54:48.057707Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.062472Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.062472Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:9397477127c1d057001e0595aac634103cc826764a182765185d5508b92a4b19","observation_id":"084a4ace-d73d-4b4b-9e57-ce88c26282ea","resolution":{"observed_at":"2026-08-12T11:54:48.062472Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.067280Z","title":"Style and abstraction in por- trait sketching","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.067280Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:178a8becc1c7f13936e3782866e2c284f19009f1fcaca0507537560ca376b216","observation_id":"05ae9cd1-74ea-41d8-b334-04e9707f0448","resolution":{"observed_at":"2026-08-12T11:54:48.067280Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.071834Z","title":"Improving image generation with better captions","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.071834Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:16d108fc6c30d4e6f19529ddb6580c1512374ec42abc9fcd760256b97b2af659","observation_id":"abad7062-c9cc-42f1-acec-7dec852302c4","resolution":{"observed_at":"2026-08-12T11:54:48.071834Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.076619Z","title":"Hospedales, Tao Xiang, Yu- lia Gryaditskaya, and Yi-Zhe Song","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.076619Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:471900b9d8e1588426dbade8f65125fb24fc06038e435c9593a8964761502406","observation_id":"f4f7af67-0b39-4dd5-ab1b-c7925c410624","resolution":{"observed_at":"2026-08-12T11:54:48.076619Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.081141Z","title":"Doodleformer: Creative sketch drawing with transformers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.081141Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:d5a1e27e1b5bf331cdd2e3f8a88b12e2c70d107c695939c10a5a2c883e2f65db","observation_id":"37de3793-914d-4f5b-a2ed-a95034c3c4e5","resolution":{"observed_at":"2026-08-12T11:54:48.081141Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.086132Z","title":"Doodleformer: Creative sketch drawing with transformers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.086132Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:a2f8f254eb3d1705e55445aa2b6c3327a3e3b6f78b92f6e643c76620a240664c","observation_id":"4b3164a7-7311-4d40-880c-a39dbb31494a","resolution":{"observed_at":"2026-08-12T11:54:48.086132Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.090467Z","title":"Language models are few-shot learners","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.090467Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:f66de5db76ee7810c914ffa4cbf904c0945e10e092110bf380f80da4a293293b","observation_id":"1bbf9262-9cc6-41ea-9a47-dc89072ae9a5","resolution":{"observed_at":"2026-08-12T11:54:48.090467Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.095215Z","title":"Language models are few-shot learners","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.095215Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:2c2b4c7378ccf4862b083f5a2d90ee215889b2c201fca99868e2571831979039","observation_id":"c3bd273c-64ae-413a-b744-74466272e3f9","resolution":{"observed_at":"2026-08-12T11:54:48.095215Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.099624Z","title":"Sparks of artificial general intelligence: Early experiments with gpt-","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.099624Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:c71355f7d4b8c8ae5d99a953cee3bb7656b0ae1b7f06cc616a4228d427dc0f6c","observation_id":"81147714-b93a-46ff-a44d-01e9ee349af6","resolution":{"observed_at":"2026-08-12T11:54:48.099624Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.12712","last_updated":"2023-04-13T20:41:31Z","snapshot_observed_at":"2026-08-03T04:49:15.195814Z","submitted_at":"2023-03-22T16:51:28Z","title":"Sparks of Artificial General Intelligence: Early experiments with GPT-4","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.12712","snapshot_observed_at":"2026-08-12T11:54:48.104520Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.104520Z"},"links":{"cited_paper":"/paper/2303.12712","citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:4290fe5fb977343fac988a8ee1dd6fede6169091afaf9ed9297200de3b138a66","observation_id":"7db45a7b-e317-4a83-b516-35444e32e334","resolution":{"observed_at":"2026-08-12T11:54:48.104520Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.109316Z","title":"Delving into LLMs’ visual understanding ability using SVG to bridge image and text, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.109316Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:b5c90f4c8ab7f14cad70997cf8508f34b4ac3292e47457e2c15990c286829b90","observation_id":"01d64511-f699-4570-8ee6-c34aea2a99b5","resolution":{"observed_at":"2026-08-12T11:54:48.109316Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.113750Z","title":"A computational approach to edge detection","venue":null,"work_id":null,"year":1986},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.113750Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:934e2d7ebc5e69382d148ca44897ea6ec4fa315be78ac8471d561b368a682fc9","observation_id":"d12c74ef-5c57-45c0-a0bd-513bcb881668","resolution":{"observed_at":"2026-08-12T11:54:48.113750Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.118547Z","title":"Deepsvg: A hierarchical generative network for vector graphics animation, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.118547Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:5cdc541617aafa1d4a0654f19fe13f6dfb69b6cc5938b584df3c6595ab343d6b","observation_id":"e22bd3ae-11e7-4477-8190-945ae56bbce3","resolution":{"observed_at":"2026-08-12T11:54:48.118547Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.122928Z","title":"On the util- ity of learning about humans for human-ai coordination","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.122928Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:1a624cc53367726bb018ef9cc90e6913fc81ea1b48a816118dfee7e04b7328e4","observation_id":"a954eace-ca27-4aad-8ed4-c88f32e63489","resolution":{"observed_at":"2026-08-12T11:54:48.122928Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.127297Z","title":"Learning to generate line drawings that convey geometry and seman- tics","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.127297Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:a2412976b385421c00328210e62389c1643f94066c0a07225cb538f82abdaa56","observation_id":"86f9d689-927f-4dfa-9bc7-252b3fa68a76","resolution":{"observed_at":"2026-08-12T11:54:48.127297Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.132125Z","title":"Vi- sual chain-of-thought prompting for knowledge-based vi- sual reasoning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.132125Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:e758b2fb0a8d3f7ac64145c95916d893e730253b2956085170108f0943ea5f3b","observation_id":"a9675a11-f846-4540-8d6e-2d4c446938c4","resolution":{"observed_at":"2026-08-12T11:54:48.132125Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.136419Z","title":"3doodle: Compact abstraction of objects with 3d strokes","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.136419Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:4d644525220371a26cf25203c411db59e678f63180348540bd5b17c37f81e44b","observation_id":"39a71ffa-e42c-4458-8335-399359688bce","resolution":{"observed_at":"2026-08-12T11:54:48.136419Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.140726Z","title":"9 Visionllama: A unified llama backbone for vision tasks,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.140726Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:708c53291b922cf602e1507a73dd558b8441f85de806e1eaccdbfabda0152ab7","observation_id":"661745ff-2821-444d-8813-ecbb5ccb67a8","resolution":{"observed_at":"2026-08-12T11:54:48.140726Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.145224Z","title":"B ´eziersketch: A generative model for scalable vector sketches","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.145224Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:6a3c80cc69b3befc9f1f1d1bd17f4557e8f57e5a36178ce321a2a637f972de22","observation_id":"c33762e2-dd14-4ef0-aaed-f68ea4094536","resolution":{"observed_at":"2026-08-12T11:54:48.145224Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.149567Z","title":"Drawing ap- prentice: An enactive co-creative agent for artistic collab- oration","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.149567Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:0bdafc132a1f7bcff3db4bb3381d26f70ddf933b8d72eb6c2052de509cc762e7","observation_id":"f0a79308-5a5a-47f5-b070-2950b3c9db2d","resolution":{"observed_at":"2026-08-12T11:54:48.149567Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.153843Z","title":"BERT: Pre-training of deep bidirectional trans- formers for language understanding","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.153843Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:89857cc5bdf99fe353e6e8c1077833d0f370c19919d71469fefb5001633f043a","observation_id":"6c276a40-7f61-487e-bc2c-d2f63fd36998","resolution":{"observed_at":"2026-08-12T11:54:48.153843Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12736","last_updated":"2024-07-17T08:13:02Z","snapshot_observed_at":"2026-08-13T00:50:20.381068Z","submitted_at":"2024-03-19T13:53:37Z","title":"Towards Multimodal In-Context Learning for Vision & Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12736","snapshot_observed_at":"2026-08-12T11:54:48.158302Z","title":"Towards multimodal in-context learning for vi- sion & language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.158302Z"},"links":{"cited_paper":"/paper/2403.12736","citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:1bedb62702aefda5380203d7395790c05137ebf95d6bfd74f25ed2127fb254bc","observation_id":"29bf73f6-a4b9-4029-b4a7-baeb94f2d8b2","resolution":{"observed_at":"2026-08-12T11:54:48.158302Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-10T16:40:37.411115Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-12T11:54:48.163359Z","title":"The llama 3 herd of models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.163359Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:3cc5f5b4c3187516c8161b3255024eaabb0e65ef00b26b40509a9bba2a379854","observation_id":"4bd7cc09-3607-45a9-9d94-63ebe317ba66","resolution":{"observed_at":"2026-08-12T11:54:48.163359Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.168050Z","title":"How do hu- mans sketch objects? ACM Trans","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.168050Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:9885735f2c8afb1e7f6173d9734079bf394508c51f950134cb449a2811ebe58c","observation_id":"63897d61-f9f4-4caa-8c84-b72dfa4471e6","resolution":{"observed_at":"2026-08-12T11:54:48.168050Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.172401Z","title":"Frank, Matthew Groh, Hope Schroeder, Amy Smith, Memo Akten, Jessica Fjeld, Hany Farid, Neil Leach, Alex Pentland, and Olga Russakovsky","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.172401Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:dfa3cf1039012d0d4812f1a005a083ebc55dc8fe7fc78403935dc223650c6bf3","observation_id":"6bd15c80-8eb9-4a68-b1d6-26eda56d665e","resolution":{"observed_at":"2026-08-12T11:54:48.172401Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.176838Z","title":"clip-vit-large-patch14","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.176838Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:d7adf24515fc6f0a461edb2f2173b3fa2e0aadab73e6c4efad67f43ed68d9766","observation_id":"f9481e09-4468-4d42-8e38-306c8722099f","resolution":{"observed_at":"2026-08-12T11:54:48.176838Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.181811Z","title":"Bainbridge, Rebecca Chamberlain, and Jeffrey D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.181811Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:21bc7fdb53c76dc6c2f35eff7f8f98e34dfad0c352450f777d131e7b1ff965aa","observation_id":"ba00cc12-bd2f-4786-8e0c-b80098d16ed7","resolution":{"observed_at":"2026-08-12T11:54:48.181811Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.186243Z","title":"Fan, Monica Dinculescu, and David Ha","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.186243Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:ec04a7d85136af296744c530f96ab971eb4a05a4a4e03d931d887ec2d1e82323","observation_id":"66d0a37f-735c-4ae3-9524-419779863a0f","resolution":{"observed_at":"2026-08-12T11:54:48.186243Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.190664Z","title":"Fan, Robert D","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.190664Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:cfd6c990aeb9a124d0890607ffd253bb1b26d06a8cd1557c0d6051265475e77a","observation_id":"c7abd177-3d42-428c-8269-50738ee77891","resolution":{"observed_at":"2026-08-12T11:54:48.190664Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.194891Z","title":"Drawing as a versatile cognitive tool","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.194891Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:947c877b2cd6adeb2e29d2ad9ffc617f20d920dddacb53b51fcc59892757c4f3","observation_id":"9027a6fa-e33d-4abc-9789-a41e56cbbde9","resolution":{"observed_at":"2026-08-12T11:54:48.194891Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.199284Z","title":"Creating drawings enhances learning by teaching","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.199284Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:d93594b0653db23f3f16737361c7c2c5c01553c8d2876180c29ba57021868396","observation_id":"4c0c8c4f-ffd1-4d30-844f-e071e547617c","resolution":{"observed_at":"2026-08-12T11:54:48.199284Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.203883Z","title":"Cogsketch: Sketch understanding for cognitive science research and for education","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.203883Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:6f9bbc21c5c00abe1b784dcc890c2585753647cdadd3752159da9b0ec2496dc7","observation_id":"112531f2-3f6d-487a-b12f-3a566db66a55","resolution":{"observed_at":"2026-08-12T11:54:48.203883Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.208212Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.208212Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:40b171e241b7d66eccdb49ada3777f325c8e0b49151efd1b624d75f56deb6c45","observation_id":"d28de640-ce94-4e38-8a1c-862efa213335","resolution":{"observed_at":"2026-08-12T11:54:48.208212Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12390","last_updated":"2024-07-03T08:44:45Z","snapshot_observed_at":"2026-08-13T05:38:11.293178Z","submitted_at":"2024-04-18T17:59:54Z","title":"BLINK: Multimodal Large Language Models Can See but Not Perceive","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.12390","snapshot_observed_at":"2026-08-12T11:54:48.212530Z","title":"Blink: Multimodal large lan- guage models can see but not perceive","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.212530Z"},"links":{"cited_paper":"/paper/2404.12390","citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:e8c52597cd5e7975a47e1487bab170b5118f62349e26bb86162ab489370399a1","observation_id":"d144e7b3-8901-49ed-b6ce-5bb0da669ad6","resolution":{"observed_at":"2026-08-12T11:54:48.212530Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.217328Z","title":"Breath- ing life into sketches using text-to-video priors","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.217328Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:d636ab20bc88f64cc70176c3274b3b513575482db3579da0cfeb5471664ce0ff","observation_id":"83374be5-90ee-4740-ac98-87c3a3599f8c","resolution":{"observed_at":"2026-08-12T11:54:48.217328Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1804.01118","last_updated":"2018-04-03T18:25:42Z","snapshot_observed_at":"2026-08-02T01:41:45.310435Z","submitted_at":"2018-04-03T18:25:42Z","title":"Synthesizing Programs for Images using Reinforced Adversarial Learning","version":1},"cited_work":{"arxiv_id":"1804.01118","doi":null,"metadata_source":"pith","pith_arxiv_id":"1804.01118","snapshot_observed_at":"2026-08-12T11:54:49.189040Z","title":"Synthesizing Programs for Images using Reinforced Adversarial Learning","venue":"cs.CV","work_id":"b122e230-5b6b-4402-93c7-1fcd6fcee52d","year":2018},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.221989Z"},"links":{"cited_paper":"/paper/1804.01118","citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:a005b14bdd4a84a7c01fa6ef9713ed2f0fccfbda736ea7c54a0168be4b85b98a","observation_id":"a8528046-8e41-4b4a-9e19-c46758bafe71","resolution":{"observed_at":"2026-08-12T11:54:49.194161Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.227129Z","title":"Computer-aided design as language","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.227129Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:cf6b2e89a69d018727c300ff0c085bc81d98ed39eacd9f5383dcddb392e8c879","observation_id":"9fd3fcff-cdf1-49a0-9b60-39e6069fbd7a","resolution":{"observed_at":"2026-08-12T11:54:48.227129Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.231600Z","title":"Sketchycoco: Image genera- tion from freehand scene sketches","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.231600Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:5f255da8462a1f29a7246d65e3251a42b9f5636c05f96cc7d2bf996d2d4f7a01","observation_id":"c210a2c6-ef99-4a26-ad96-0c6158139fec","resolution":{"observed_at":"2026-08-12T11:54:48.231600Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.235872Z","title":"Foundations of representation: Where might graphical symbol systems come from? Cognitive Science, 31(6):961–987, 2007","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.235872Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:3564c92d6f03f3c6cc015e3489671b8059adf87d00f6341a188a56c025bfbf20","observation_id":"bb633372-ca2a-45d3-8849-d96418c50063","resolution":{"observed_at":"2026-08-12T11:54:48.235872Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.10039","last_updated":"2021-03-03T20:01:54Z","snapshot_observed_at":"2026-08-12T09:51:31.966625Z","submitted_at":"2020-11-19T18:57:00Z","title":"Creative Sketch Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.10039","snapshot_observed_at":"2026-08-12T11:54:48.240459Z","title":"Creative sketch generation","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.240459Z"},"links":{"cited_paper":"/paper/2011.10039","citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:5ca6f8eaa3238a6270d38b97d8c0c325eb5a7906812a71f20eb1a4ced5432a2e","observation_id":"4501fe66-2a59-45ba-ba8a-d3911a9c6b27","resolution":{"observed_at":"2026-08-12T11:54:48.240459Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.245269Z","title":"Creative sketch generation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.245269Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:aef853ddd21a4038ab9cfac90142fe433a9f74e11da08131f36445998daa0850","observation_id":"81506035-ba4f-4f0f-bf53-73920058e735","resolution":{"observed_at":"2026-08-12T11:54:48.245269Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.249672Z","title":"Collaborative drawing on a shared digital canvas in elementary science education: The effects of script and task awareness sup- port","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.249672Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:796094d21216e2593c08485ae63b39c5c8188f9bd53ef211466108e6d534a7d5","observation_id":"5515affe-f338-4174-82f9-22b0cafe54cc","resolution":{"observed_at":"2026-08-12T11:54:48.249672Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.254295Z","title":"Serial sketching: visual problem solving in designing","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.254295Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:52cf7a71d714c20d359b1d7b5b6361e20e419b9bf8be2c5f02f7a6a6f3a49ebe","observation_id":"ae9777c7-d122-4c33-9950-8f114b4e292f","resolution":{"observed_at":"2026-08-12T11:54:48.254295Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.258849Z","title":"Grosz and Sarit Kraus","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.258849Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:70a56cec355542d73c4c739cabde7d78c191449dc65f8f1fdf03f09a045d9e86","observation_id":"08f4cd87-d476-4409-af26-296a58a904b4","resolution":{"observed_at":"2026-08-12T11:54:48.258849Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.263815Z","title":"10 Opensketch: a richly-annotated dataset of product design sketches","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.263815Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:4ba020327eb59e209e2fd3a7082fb89cf58f131784c638881b76501b44fedc96","observation_id":"6043cfd7-a7b1-49d1-ba09-e8342469b1d4","resolution":{"observed_at":"2026-08-12T11:54:48.263815Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.268323Z","title":"Hallusionbench: An advanced diagnostic suite for entangled language hallucination and visual illusion in large vision-language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.268323Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:b7fb4fd24afeaf6059540cc68a1427a09c6c1ab89e3ff9fd7fda4af63beff8f4","observation_id":"da2f6640-5dbb-4dfb-9b3d-f8d730f4ea80","resolution":{"observed_at":"2026-08-12T11:54:48.268323Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1704.03477","last_updated":"2017-05-19T16:40:16Z","snapshot_observed_at":"2026-08-09T14:19:34.287549Z","submitted_at":"2017-04-11T18:09:01Z","title":"A Neural Representation of Sketch Drawings","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.03477","snapshot_observed_at":"2026-08-12T11:54:48.272542Z","title":"A neural representation of sketch drawings","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.272542Z"},"links":{"cited_paper":"/paper/1704.03477","citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:b3dad6d5b3381ac603c178d43bd71c2596f947544603e2bd253fc0e560fac659","observation_id":"15f871b9-7a6a-4f00-b2ec-778f5b1519ab","resolution":{"observed_at":"2026-08-12T11:54:48.272542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16483","last_updated":"2023-11-27T15:20:23Z","snapshot_observed_at":"2026-08-13T05:16:57.408767Z","submitted_at":"2023-11-27T15:20:23Z","title":"ChartLlama: A Multimodal LLM for Chart Understanding and Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16483","snapshot_observed_at":"2026-08-12T11:54:48.277471Z","title":"Xiaoyan Zhang, Xin Chen, Xu Yang, Zhibin Wang, Gang Yu, Bin Fu, and Hanwang Zhang","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.277471Z"},"links":{"cited_paper":"/paper/2311.16483","citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:ba61e8d121c4565c671b2df0b96ddf047ce466a3128e7b8155e592f1a4968f16","observation_id":"1ad8d8e6-addb-4c08-8fe8-d558530cb8fb","resolution":{"observed_at":"2026-08-12T11:54:48.277471Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.282193Z","title":"Hawkins, Megumi Sano, Noah D","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.282193Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:b6363fed8f8404e240a49dd544d5c523b31dda761243e49ea4009bec79c639ba","observation_id":"4c78d3bb-ff0f-4318-bca4-448c16b64c5a","resolution":{"observed_at":"2026-08-12T11:54:48.282193Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09403","last_updated":"2024-11-11T00:54:32Z","snapshot_observed_at":"2026-08-13T00:45:29.822527Z","submitted_at":"2024-06-13T17:59:31Z","title":"Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09403","snapshot_observed_at":"2026-08-12T11:54:48.286499Z","title":"Visual sketchpad: Sketching as a visual chain of thought for multimodal language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.286499Z"},"links":{"cited_paper":"/paper/2406.09403","citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:6d54d5a547212e520a4a83ab9d0da759943d1c3d5a65ae35ce57ee971efa753a","observation_id":"8b731485-2d53-455b-9754-c9aecd5930e8","resolution":{"observed_at":"2026-08-12T11:54:48.286499Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.291293Z","title":"A collaborative, interactive and context-aware draw- ing agent for co-creative design","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.291293Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:c51f6b2e59f098445d788631e2ac6aa1fbab6aef242a16ee9cbc73126412fbb1","observation_id":"9bc4c1e2-3a78-495a-ab68-904d3833f071","resolution":{"observed_at":"2026-08-12T11:54:48.291293Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.295846Z","title":"Vectorfusion: Text-to-svg by abstracting pixel-based diffusion models","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.295846Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:6cbbc14d80dd01c1965127337ff8c7a74f6615bcd0f43c9ae046d6d85506b8bd","observation_id":"895cfae0-ad02-4e81-9f3e-6444cd7b4ac1","resolution":{"observed_at":"2026-08-12T11:54:48.295846Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.300445Z","title":"The Quick, Draw! - A.I","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.300445Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:70dde0cd70b805457c45e9d81bd299abe0c5b2c29a90abfd027b7a9d77ad0eca","observation_id":"d71738e0-d335-4f75-bd64-ab0b15eadab1","resolution":{"observed_at":"2026-08-12T11:54:48.300445Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.305243Z","title":"Drawing theories apart: The dispersion of Feynman diagrams in postwar physics","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.305243Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:92d85bfe54be1c3b80810a79c00aa29626d98bb4bcf33a2e52df35a79c0faf9c","observation_id":"72ff3942-ec07-422a-bb29-eb5686ded36c","resolution":{"observed_at":"2026-08-12T11:54:48.305243Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.315022Z","title":"Creative sketching part- ner: an analysis of human-ai co-creativity","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.315022Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:385e88bea3bd4cbf47f39e070d2a70f1679b16b6502f1c6bca545f9ee860ed21","observation_id":"f4c28c8a-5325-45f7-8d05-b1f8f758b0d3","resolution":{"observed_at":"2026-08-12T11:54:48.315022Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.319404Z","title":"Chapter three - psychological research on joint action: The- ory and data","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.319404Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:622b90510377f10a3b4cce932b44dc6c6ea069b720d666179249df444da548a9","observation_id":"11a18dab-96e4-414e-b7f9-3b46575ece02","resolution":{"observed_at":"2026-08-12T11:54:48.319404Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.324226Z","title":"Cairosvg","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.324226Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:ab6272f60fb6f1d160aeaf3a14b4d44a80aeeeabb4bf6ead4415023ebf7518a5","observation_id":"e805b9d5-6b2b-4b7e-8047-09206836c82b","resolution":{"observed_at":"2026-08-12T11:54:48.324226Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.328566Z","title":"Graphic thinking for architects and designers","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.328566Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:b956a3f1c026be6eb156ae8b67f8c86e15b05da0d447a232f80de9470674d9ce","observation_id":"68166028-0d51-4b80-ad3b-5e1a60c35ee8","resolution":{"observed_at":"2026-08-12T11:54:48.328566Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.333106Z","title":"When is a tool a tool? user perceptions of system agency in human–ai co-creative drawing","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.333106Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:8e7f066d02f872bb2b98e59994d454a7005814c35ad55e27d303df84eafd5958","observation_id":"976b051c-914d-4303-8005-dd1eecc2d525","resolution":{"observed_at":"2026-08-12T11:54:48.333106Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.337501Z","title":"Drawing with reframer: Emergence and control in co-creative ai","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.337501Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:73318422824612c8b8a9172aa22d289c1edff1bea91aab04549a89d1c2fa5db0","observation_id":"3a10127b-1809-4396-bb0e-019e022a0533","resolution":{"observed_at":"2026-08-12T11:54:48.337501Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.342089Z","title":"Lawrence Zitnick, and Michael F","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.342089Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:937933001ff0b479aba575219eaba39814ffb7c18aa738e56493748869b9b2b0","observation_id":"50f7c713-9275-4f90-8d64-6540741ef3f5","resolution":{"observed_at":"2026-08-12T11:54:48.342089Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.346638Z","title":"BLIP: Bootstrapping language-image pre-training for uni- fied vision-language understanding and generation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.346638Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:303e7906e29c7c560e0e497ec0d054b0277d5cc55f2aa3fe43560258f9e6123c","observation_id":"e25565c0-5cd3-43d8-b18d-4a4931ef4d14","resolution":{"observed_at":"2026-08-12T11:54:48.346638Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.351628Z","title":"Photo-sketching: Inferring contour draw- ings from images","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.351628Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:a8e361b1a7ea0f1a6cd209d8558d1e591c24761dcfec1e2c344399686d0943c4","observation_id":"c5bf1393-f474-43bd-ab44-7f8449184519","resolution":{"observed_at":"2026-08-12T11:54:48.351628Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.356531Z","title":"Differentiable vector graphics rasterization for editing and learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.356531Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:b5df191f817302e2a91d445e4321b1c1d64d947e83d409acd210eb3e31d7de5a","observation_id":"f94a7a1a-c91c-4b68-a812-f66cf01fd17d","resolution":{"observed_at":"2026-08-12T11:54:48.356531Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1510.02644","last_updated":"2015-10-09T12:08:38Z","snapshot_observed_at":"2026-07-06T04:32:33.673930Z","submitted_at":"2015-10-09T12:08:38Z","title":"Free-hand Sketch Synthesis with Deformable Stroke Models","version":1},"cited_work":{"arxiv_id":"1510.02644","doi":null,"metadata_source":"pith","pith_arxiv_id":"1510.02644","snapshot_observed_at":"2026-08-12T11:54:49.105725Z","title":"Free-hand Sketch Synthesis with Deformable Stroke Models","venue":"cs.CV","work_id":"16df7d25-9b75-40cb-849c-10b53943e3b1","year":2015},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.361381Z"},"links":{"cited_paper":"/paper/1510.02644","citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:96283a9f3a5157675a385ab5e8cbf443fbfb9f1ebbd0915729da48c8a392cd43","observation_id":"554f5343-3a71-4314-8d3c-ad92ff4b4297","resolution":{"observed_at":"2026-08-12T11:54:49.111584Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.367350Z","title":"Im2pencil: Controllable pen- cil illustration from photographs","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.367350Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:8e862b8bc53701a70127ed3c742637f6d495bf31d71d032f180006c0c290e9fd","observation_id":"9662a605-35da-4424-b4af-f43b6bded862","resolution":{"observed_at":"2026-08-12T11:54:48.367350Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.372151Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.372151Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:8d58c7ceae18cfee0968416fde54feb399934a1727ba061180847e30c65c0e04","observation_id":"30ab826c-5be5-4d07-8942-efdc35d6b24f","resolution":{"observed_at":"2026-08-12T11:54:48.372151Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.376823Z","title":"Neural strokes: Stylized line draw- ing of 3d shapes","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.376823Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:36ce838ce0b8b5a5ded038d89f70f8325ba1f8c4714f344d9d916af4d6d34148","observation_id":"ade5ce15-01b1-42b2-af5d-5f48fc87cea0","resolution":{"observed_at":"2026-08-12T11:54:48.376823Z","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":"2026-08-12T11:54:50.084547Z","title":"Sketchgan: Joint sketch completion and recognition with generative adversarial net- work","venue":null,"work_id":"ae293809-26a5-445f-a25c-36481d2ec6cf","year":2019},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.381187Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:e4f68be8e31526f8cc605715fd22c9c53db49cc4273e1bb49f7a5f3c3877566a","observation_id":"d4eee1a6-21de-43e0-89a6-c13b1ae7ff3c","resolution":{"observed_at":"2026-08-12T11:54:50.089407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:50.069086Z","title":"Sketchgan: Joint sketch completion and recognition with generative adversarial net- work","venue":null,"work_id":"ab3a0bd4-4606-4e66-bbf6-792c57e556cf","year":2019},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.385598Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:8194ea9ff8060f23687130c379075b2ef7b797e89b16491e9de7327f2cfdc843","observation_id":"9b9e9548-a3d0-41d5-a080-b9aa40e3be9a","resolution":{"observed_at":"2026-08-12T11:54:50.074108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:50.054182Z","title":"Visual instruction tuning","venue":null,"work_id":"cef52407-f235-4d13-9b90-18e833c03f4b","year":2023},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.390170Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:ee33273857f6fdfa37ab1f73a14f62f83faa8de9d77f9e4bc42de86ec6e9cb3e","observation_id":"f18997cc-5398-4de4-bb65-cfdb14aa5a88","resolution":{"observed_at":"2026-08-12T11:54:50.058766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:50.039385Z","title":"Parallel developmental changes in chil- dren’s production and recognition of line drawings of visual concepts","venue":null,"work_id":"5b9f6481-3924-43af-8358-8d9c6290afb2","year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.394470Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:8f02846443f80646eb3665e6ddf43772d080fb17b5374221b17673d98d34e423","observation_id":"14bf813d-5e5b-4691-9799-23aae2103162","resolution":{"observed_at":"2026-08-12T11:54:50.044070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:50.024496Z","title":"Openeqa: Embodied question answering in the era of foun- dation models","venue":null,"work_id":"137a4326-aa32-4d80-b6ad-78455fd9eef8","year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.398874Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:ed6c7d988f9fd17570f84eb14ee4c3b9755c04dcc20856e76e958470d63ac12d","observation_id":"41f7a338-575c-4a4d-af11-d4be78d312b9","resolution":{"observed_at":"2026-08-12T11:54:50.029549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:50.009864Z","title":"McCarthy, Robert D","venue":null,"work_id":"c0291db6-32bf-4d4d-aad7-46af2ca80c41","year":2021},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.403295Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:bc971d96101664a595d2adff3c102446b50cc1dc5598d5b39a2c2534c7da6ddc","observation_id":"5e88e8be-dae7-42b2-85dc-33a7ca01eb66","resolution":{"observed_at":"2026-08-12T11:54:50.014474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:49.994484Z","title":"McCarthy, Justin Matejka, Karl D.D","venue":null,"work_id":"2ab24c8b-58d6-4358-a3c3-3a02d8f9dbb3","year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.407578Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:34327100df27763c661cf8f761336be6eb989ce089c0d47f7e7de8ed93525340","observation_id":"24c9ce57-da71-41f8-a53b-1579893fd0eb","resolution":{"observed_at":"2026-08-12T11:54:49.999298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.01007","last_updated":"2019-10-02T15:12:06Z","snapshot_observed_at":"2026-08-10T23:48:36.319884Z","submitted_at":"2019-10-02T15:12:06Z","title":"Unsupervised Doodling and Painting with Improved SPIRAL","version":1},"cited_work":{"arxiv_id":"1910.01007","doi":null,"metadata_source":"pith","pith_arxiv_id":"1910.01007","snapshot_observed_at":"2026-08-12T11:54:49.083547Z","title":"Unsupervised Doodling and Painting with Improved SPIRAL","venue":"cs.CV","work_id":"946406c4-7c54-44a7-bf85-e59e7c40164f","year":2019},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.412227Z"},"links":{"cited_paper":"/paper/1910.01007","citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:18439ade35172486bab15e3cf822a37ec4c891e5fedca33e34c6586c95ec5f1f","observation_id":"16c9e985-86c5-4b1b-bc38-c357bedafa7a","resolution":{"observed_at":"2026-08-12T11:54:49.089261Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:49.979022Z","title":"Learning to draw: Emer- gent communication through sketching","venue":null,"work_id":"945762f4-21fd-4ebd-a721-0b550b66b237","year":2021},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.416852Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:e2f098fae27f1a51b81bd510d860eebe57d3d4a76cd0bbc69be0e503eff6e221","observation_id":"78960b52-4030-41fb-b0a3-d6fb30a4f399","resolution":{"observed_at":"2026-08-12T11:54:49.983912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:49.963904Z","title":"Compositional chain-of-thought prompt- ing for large multimodal models","venue":null,"work_id":"b234ad71-ab3a-4a29-ab87-87e597fa1cbb","year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.421158Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:f6ca5613a816bcbbf1b7125d9a7cd9859866085d92b4dd4dd301ef9ed3af9fb2","observation_id":"920587c6-2559-456e-9cf1-77f5a66828f3","resolution":{"observed_at":"2026-08-12T11:54:49.968732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:49.949165Z","title":"Seva: Leveraging sketches to evaluate alignment between human and machine visual abstraction","venue":null,"work_id":"91d1c4d1-cfcd-4b25-b8d1-13f9bb5b7bd9","year":2023},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.426430Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:5d1132cb51d7e501cd0b3b41d9d4f2eb1d4b5722bf68a9b51127c5e39739455c","observation_id":"5b4478e7-e095-4513-b634-35fc75840786","resolution":{"observed_at":"2026-08-12T11:54:49.953773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:49.933451Z","title":"Observing by hand: sketching the nebu- lae in the nineteenth century","venue":null,"work_id":"0a27fd51-859a-4599-9743-604ac738ce8f","year":null},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.431023Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:a84df7ff1a0e149093050d93c5fa7102cb85e058acc80826bfeb2499558ab152","observation_id":"1aad940a-7bd9-4efb-b4d6-5a47f95a2dbd","resolution":{"observed_at":"2026-08-12T11:54:49.938408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:49.917142Z","title":"I lead, you help but only with enough details: Understanding user experience of co-creation with artificial intelligence","venue":null,"work_id":"37c6d207-bd02-43eb-bd34-1236250440b1","year":2018},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.435792Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:2607b19763ea1f94429430c3e1f85e42c3df6153387c9c917982b663bdb439d3","observation_id":"35d088e6-d4a2-4a81-950a-a922bf65270f","resolution":{"observed_at":"2026-08-12T11:54:49.922490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:49.900608Z","title":"Gpt-4 technical report, 2024","venue":null,"work_id":"ddbb79a2-9c7d-44e8-984b-e28e8c65c0b6","year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.440349Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:027477658833a42d4231fc76b2fc8943660acc1295d42a1e52e643e95dfb520a","observation_id":"71283efe-ccbe-4128-b980-8e4c2d28dc66","resolution":{"observed_at":"2026-08-12T11:54:49.905746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01952","last_updated":"2023-07-04T23:04:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-04T23:04:57Z","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01952","snapshot_observed_at":"2026-08-12T11:54:48.444736Z","title":"Blattmann, Tim Dockhorn, Jonas Muller, Joe Penna, and Robin Rom- bach","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.444736Z"},"links":{"cited_paper":"/paper/2307.01952","citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:ae42954cb6c6e826668d3707d6995769ad4bcccc4a175954be51c6e57fb0f3e8","observation_id":"295a5ddd-5a17-41b6-9d47-39396ad83d4a","resolution":{"observed_at":"2026-08-12T11:54:48.444736Z","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":"2026-08-12T11:54:49.885264Z","title":"Sketchlattice: Latticed representation for sketch manipulation","venue":null,"work_id":"93316efb-e82d-476f-985a-6912f4ceeaa4","year":2021},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.450680Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:c628e7281be5c7533efac97248cbc0a5eb468ed4006c35719897ad25844c2a44","observation_id":"593cadab-0f19-411e-a222-117ce8ffd4b5","resolution":{"observed_at":"2026-08-12T11:54:49.890148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.14210","last_updated":"2023-02-23T19:33:22Z","snapshot_observed_at":"2026-08-07T12:28:28.295423Z","submitted_at":"2021-11-28T18:59:57Z","title":"Emergent Graphical Conventions in a Visual Communication Game","version":4},"cited_work":{"arxiv_id":"2111.14210","doi":null,"metadata_source":"pith","pith_arxiv_id":"2111.14210","snapshot_observed_at":"2026-08-12T11:54:49.046824Z","title":"Emergent Graphical Conventions in a Visual Communication Game","venue":"cs.CL","work_id":"2242680c-71e3-4dcf-b077-9635a8815444","year":2021},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.455571Z"},"links":{"cited_paper":"/paper/2111.14210","citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:e0863e7fd53a7416fc53cf34e6abdc79c8fd247bd2e38fcbc2ae8ab3f6bd9e99","observation_id":"24b53bfb-3adb-4b54-9ed2-4510793a7cb5","resolution":{"observed_at":"2026-08-12T11:54:49.051702Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.00020","last_updated":"2021-02-26T19:04:58Z","snapshot_observed_at":"2026-07-06T10:45:03.059688Z","submitted_at":"2021-02-26T19:04:58Z","title":"Learning Transferable Visual Models From Natural Language Supervision","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.00020","snapshot_observed_at":"2026-08-12T11:54:48.460044Z","title":"Learning transferable vi- sual models from natural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.460044Z"},"links":{"cited_paper":"/paper/2103.00020","citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:8a114a2d4324d053bbf8e9b5927bca59f8aac25ee3daa30f3fac4e404c1d89a8","observation_id":"b6490c6d-3151-417a-bdda-30eacda7737e","resolution":{"observed_at":"2026-08-12T11:54:48.460044Z","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":"2026-08-12T11:54:49.870365Z","title":null,"venue":null,"work_id":"644cbbdf-69e9-4880-b059-dbfe96e5b6f4","year":2020},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.464904Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:d2b21fef56be0e11e0e064f999efaa62f19c841be9d4f449c2f65d9c102f74be","observation_id":"3267d2b0-1065-42c6-bb0f-6c3aef50f8e4","resolution":{"observed_at":"2026-08-12T11:54:49.875092Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.06125","last_updated":"2022-04-13T01:10:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-13T01:10:33Z","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.06125","snapshot_observed_at":"2026-08-12T11:54:48.469223Z","title":"Hierarchical text-conditional image generation with clip latents","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.469223Z"},"links":{"cited_paper":"/paper/2204.06125","citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:ffff2beedf16d7114d4eec460bcf046ee183a44e91d9d2cac82af97e2f80c52f","observation_id":"1d181bbb-7f51-477a-aca9-7f5f30fc0ed2","resolution":{"observed_at":"2026-08-12T11:54:48.469223Z","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":"2026-08-12T11:54:49.854818Z","title":"Col- lomosse, and Moacir Antonelli Ponti","venue":null,"work_id":"497516d2-327d-4db3-b612-e8ed09b57eed","year":2020},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.473965Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:228d8003e1854db9228c5a6dd59eaf73683c0f912fc2e8f270431f45b2c27a85","observation_id":"acd251df-ef19-416a-8077-7c66332e8209","resolution":{"observed_at":"2026-08-12T11:54:49.859492Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:49.839897Z","title":"High-resolution image synthesis with latent diffusion models, 2022","venue":null,"work_id":"ec0d6972-7cb1-4b4a-a52b-d917499db749","year":2022},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.478317Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:7a91d8940fadb42cd9112b4b9b26459c8f5cb8437fe526c901ac1d08c7fda9ca","observation_id":"50c88a68-a2c0-4023-9a74-a1f4453460bc","resolution":{"observed_at":"2026-08-12T11:54:49.844568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.02317","last_updated":"2024-01-23T02:29:35Z","snapshot_observed_at":"2026-08-11T20:28:41.911819Z","submitted_at":"2023-05-03T17:58:29Z","title":"Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.02317","snapshot_observed_at":"2026-08-12T11:54:48.482889Z","title":"Visual chain of thought: bridging logical gaps with multimodal infill- ings","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.482889Z"},"links":{"cited_paper":"/paper/2305.02317","citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:982a90e2c9899e47bfee56f23f194f92e132e7508d7652af9cd321f1c35ea585","observation_id":"e3a2b20b-b201-4596-8b15-11a9c3951fd9","resolution":{"observed_at":"2026-08-12T11:54:48.482889Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:54:48.487542Z","title":"Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.487542Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:d9344c21eb59e1c42fc13d94eb070119247c272c70cd1936a15bbdc706c29c8e","observation_id":"11eccb1d-581e-4fb5-b823-e072e1410fc2","resolution":{"observed_at":"2026-08-12T11:54:48.487542Z","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":"2026-08-12T11:54:49.815286Z","title":"The sketchy database: Learning to retrieve badly drawn bunnies","venue":null,"work_id":"c2225eec-b7b7-4614-9b76-09f87d74cff2","year":2016},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.491853Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:3652bc01c4aad5e420da66ba079f3b1c8fb37b6ea460bb85a1d36e471e834572","observation_id":"743734b8-4280-4cad-bcaf-efd4eb2feee6","resolution":{"observed_at":"2026-08-12T11:54:49.819792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:49.801140Z","title":"Frida: A collaborative robot painter with a differentiable, real2sim2real planning environment","venue":null,"work_id":"649d903b-adac-4bda-ae79-6a651dfc7228","year":2023},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.496333Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:833ec15a02f160f5a77bb88631fbb2a64caf75acaf531a4339ba6bcdffb43460","observation_id":"1d2fb9e7-eabc-4967-92ba-9817ee0a7ec4","resolution":{"observed_at":"2026-08-12T11:54:49.805499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:49.786721Z","title":"Cofrida: Self-supervised fine-tuning for human-robot co-painting","venue":null,"work_id":"edbf4b07-8621-43b4-9986-9a9f12822bcc","year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.500990Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:eb4dbead27eedba6b7915e94cb2e3edba3ca7dd5a7cdeb7e232126d884d298c6","observation_id":"c3568064-288f-4cec-8714-20c47f71510b","resolution":{"observed_at":"2026-08-12T11:54:49.791622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:49.770384Z","title":"The reflective practitioner: How professionals think in action, 1986","venue":null,"work_id":"be87955f-dd7f-4fbd-afcb-1bfff45a8466","year":1986},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.505434Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:198542072a3e8829d3a92a6aa05ebf8470fb94e7594424261e6599d4a0ab2629","observation_id":"3b8af598-3af7-4da6-baf4-0860767f4ad2","resolution":{"observed_at":"2026-08-12T11:54:49.774975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:49.754670Z","title":"Laion-5b: An open large-scale dataset for train- ing next generation image-text models, 2022","venue":null,"work_id":"5b96c1b0-019a-4eb0-a683-6e9b291f5448","year":2022},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.509849Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:3a2b3ea052e9531fe765d0c0e3ea078dbb801c20af8b56247a7de6135c82f3d8","observation_id":"7367a151-c902-43d2-88ed-d504765ca72c","resolution":{"observed_at":"2026-08-12T11:54:49.759469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T11:54:49.739015Z","title":"A multimodal automated interpretability agent","venue":null,"work_id":"b1669c34-bf5e-457f-928e-e42afd794dc4","year":2024},"citing_paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation","version":1},"reference_index":101,"source":"pdf_text","source_observed_at":"2026-08-12T11:54:48.514348Z"},"links":{"citing_paper":"/paper/2411.17673"},"observation_digest":"sha256:a1e06148cc5028a57ce4aa191cbddaba2b7b7c729af848186caccfa5b8d5a6d5","observation_id":"237b93c1-ee12-43a8-b691-d948d9ecf3fb","resolution":{"observed_at":"2026-08-12T11:54:49.743985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.17673","last_updated":"2024-11-26T18:32:06Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T00:46:04.345420Z","submitted_at":"2024-11-26T18:32:06Z","title":"SketchAgent: Language-Driven Sequential Sketch Generation"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":74,"verified_exact":2,"verified_fuzzy":22},"total_outbound_references":140},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 100 of 140 outbound references and 2 inbound Pith citation observations for arXiv:2411.17673."}