{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:4F4MQ4AI5IBVNLK2IMWJIMHIQI","short_pith_number":"pith:4F4MQ4AI","schema_version":"1.0","canonical_sha256":"e178c87008ea0356ad5a432c9430e8820eb8c1d36d3b14bf79d6caf279a0cb47","source":{"kind":"arxiv","id":"2507.17734","version":1},"attestation_state":"computed","paper":{"title":"DataWink: Reusing and Adapting SVG-based Visualization Examples with Large Multimodal Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Can Liu, Huamin Qu, Liwenhan Xie, Xinhuan Shu, Yanna Lin","submitted_at":"2025-07-23T17:50:34Z","abstract_excerpt":"Creating aesthetically pleasing data visualizations remains challenging for users without design expertise or familiarity with visualization tools. To address this gap, we present DataWink, a system that enables users to create custom visualizations by adapting high-quality examples. Our approach combines large multimodal models (LMMs) to extract data encoding from existing SVG-based visualization examples, featuring an intermediate representation of visualizations that bridges primitive SVG and visualization programs. Users may express adaptation goals to a conversational agent and control th"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2507.17734","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-07-23T17:50:34Z","cross_cats_sorted":[],"title_canon_sha256":"906568aeec18a29a63775dc16afdadd054d36244c4d38faf1199fcff4c02f1f5","abstract_canon_sha256":"632201cac94023bcc099b348abbdfe2be2768eb3aac80e54a594949e99037608"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:42:17.543966Z","signature_b64":"c4lPvGVuoxow/tCwR68UEQZB9yzlJgYL0Reptb7d5wuUSpWqsY3MG+MzT6JyXejSvqCIM28PX/PRw753cr7zDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e178c87008ea0356ad5a432c9430e8820eb8c1d36d3b14bf79d6caf279a0cb47","last_reissued_at":"2026-07-05T11:42:17.543521Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:42:17.543521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DataWink: Reusing and Adapting SVG-based Visualization Examples with Large Multimodal Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Can Liu, Huamin Qu, Liwenhan Xie, Xinhuan Shu, Yanna Lin","submitted_at":"2025-07-23T17:50:34Z","abstract_excerpt":"Creating aesthetically pleasing data visualizations remains challenging for users without design expertise or familiarity with visualization tools. To address this gap, we present DataWink, a system that enables users to create custom visualizations by adapting high-quality examples. Our approach combines large multimodal models (LMMs) to extract data encoding from existing SVG-based visualization examples, featuring an intermediate representation of visualizations that bridges primitive SVG and visualization programs. Users may express adaptation goals to a conversational agent and control th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.17734","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.17734/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2507.17734","created_at":"2026-07-05T11:42:17.543577+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.17734v1","created_at":"2026-07-05T11:42:17.543577+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.17734","created_at":"2026-07-05T11:42:17.543577+00:00"},{"alias_kind":"pith_short_12","alias_value":"4F4MQ4AI5IBV","created_at":"2026-07-05T11:42:17.543577+00:00"},{"alias_kind":"pith_short_16","alias_value":"4F4MQ4AI5IBVNLK2","created_at":"2026-07-05T11:42:17.543577+00:00"},{"alias_kind":"pith_short_8","alias_value":"4F4MQ4AI","created_at":"2026-07-05T11:42:17.543577+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":4,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2507.22051","citing_title":"DataSway: Vivifying Metaphoric Visualization with Animation Clip Generation and Coordination","ref_index":78,"is_internal_anchor":false},{"citing_arxiv_id":"2601.17736","citing_title":"From Static to Interactive: Authoring Interactive Visualizations via Natural Language","ref_index":58,"is_internal_anchor":false},{"citing_arxiv_id":"2605.10014","citing_title":"Elemental Alchemist: A Generative Interface for Semantic Control of Particle Systems Across Dynamic Levels of Abstraction","ref_index":74,"is_internal_anchor":false},{"citing_arxiv_id":"2604.15781","citing_title":"ReVis: Towards Reusable Image-Based Visualizations with MLLMs","ref_index":2,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4F4MQ4AI5IBVNLK2IMWJIMHIQI","json":"https://pith.science/pith/4F4MQ4AI5IBVNLK2IMWJIMHIQI.json","graph_json":"https://pith.science/api/pith-number/4F4MQ4AI5IBVNLK2IMWJIMHIQI/graph.json","events_json":"https://pith.science/api/pith-number/4F4MQ4AI5IBVNLK2IMWJIMHIQI/events.json","paper":"https://pith.science/paper/4F4MQ4AI"},"agent_actions":{"view_html":"https://pith.science/pith/4F4MQ4AI5IBVNLK2IMWJIMHIQI","download_json":"https://pith.science/pith/4F4MQ4AI5IBVNLK2IMWJIMHIQI.json","view_paper":"https://pith.science/paper/4F4MQ4AI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.17734&json=true","fetch_graph":"https://pith.science/api/pith-number/4F4MQ4AI5IBVNLK2IMWJIMHIQI/graph.json","fetch_events":"https://pith.science/api/pith-number/4F4MQ4AI5IBVNLK2IMWJIMHIQI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4F4MQ4AI5IBVNLK2IMWJIMHIQI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4F4MQ4AI5IBVNLK2IMWJIMHIQI/action/storage_attestation","attest_author":"https://pith.science/pith/4F4MQ4AI5IBVNLK2IMWJIMHIQI/action/author_attestation","sign_citation":"https://pith.science/pith/4F4MQ4AI5IBVNLK2IMWJIMHIQI/action/citation_signature","submit_replication":"https://pith.science/pith/4F4MQ4AI5IBVNLK2IMWJIMHIQI/action/replication_record"}},"created_at":"2026-07-05T11:42:17.543577+00:00","updated_at":"2026-07-05T11:42:17.543577+00:00"}