{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:CBR5CMYGH6EXFWKKNC2VQTJIWZ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9dd9548d8b2237d0b1db0aca22369c28bcf231f7d0eff6e58be7e2884dd40db1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2023-04-04T16:15:05Z","title_canon_sha256":"97678864c7135ccae45dab7fe1b9c8e1f9459c353f1514145960190c31f6fa73"},"schema_version":"1.0","source":{"id":"2304.01919","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.01919","created_at":"2026-07-05T05:57:46Z"},{"alias_kind":"arxiv_version","alias_value":"2304.01919v1","created_at":"2026-07-05T05:57:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.01919","created_at":"2026-07-05T05:57:46Z"},{"alias_kind":"pith_short_12","alias_value":"CBR5CMYGH6EX","created_at":"2026-07-05T05:57:46Z"},{"alias_kind":"pith_short_16","alias_value":"CBR5CMYGH6EXFWKK","created_at":"2026-07-05T05:57:46Z"},{"alias_kind":"pith_short_8","alias_value":"CBR5CMYG","created_at":"2026-07-05T05:57:46Z"}],"graph_snapshots":[{"event_id":"sha256:6ddab02e3ce7f0fb719c827a725888804f027e50f3552546d69408d5dbc9ef2f","target":"graph","created_at":"2026-07-05T05:57:46Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2304.01919/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Creating stylized visualization requires going beyond the limited, abstract, geometric marks produced by most tools. Rather, the designer builds stylized idioms where the marks are both transformed (e.g., photographs of candles instead of bars) and also synthesized into a 'scene' that pushes the boundaries of traditional visualizations. To support this, we introduce viz2viz, a system for transforming visualizations with a textual prompt to a stylized form. The system follows a high-level recipe that leverages various generative methods to produce new visualizations that retain the properties o","authors_text":"Eytan Adar, Jiaqi Wu, John Joon Young Chung","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2023-04-04T16:15:05Z","title":"viz2viz: Prompt-driven stylized visualization generation using a diffusion model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.01919","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:ffe0f1d386252b17e36c65816b9409f8add38a18782c48db15c93ed9ebffd3b2","target":"record","created_at":"2026-07-05T05:57:46Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"9dd9548d8b2237d0b1db0aca22369c28bcf231f7d0eff6e58be7e2884dd40db1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2023-04-04T16:15:05Z","title_canon_sha256":"97678864c7135ccae45dab7fe1b9c8e1f9459c353f1514145960190c31f6fa73"},"schema_version":"1.0","source":{"id":"2304.01919","kind":"arxiv","version":1}},"canonical_sha256":"1063d133063f8972d94a68b5584d28b646caad14b3e872b8df08261417562e43","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1063d133063f8972d94a68b5584d28b646caad14b3e872b8df08261417562e43","first_computed_at":"2026-07-05T05:57:46.400533Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:57:46.400533Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IPwkgTuoopi60yf2vxj16RcHpO9BlTGWlHvkcvtL2XYjvEaK4Dtlepft1IhZd3Ofwp4QWuc9kZvfXszwQiOhBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:57:46.401096Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.01919","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ffe0f1d386252b17e36c65816b9409f8add38a18782c48db15c93ed9ebffd3b2","sha256:6ddab02e3ce7f0fb719c827a725888804f027e50f3552546d69408d5dbc9ef2f"],"state_sha256":"711cb1a604277e513704f3ddb88835c69b1394aeab21fc9b7439fd81b6f8543f"}