{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:X2D4GMOQXCLANITQRCDC2LVJ4H","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":"1a6d8d5a71dbd011f5dd2f374078d585c30811386d7be506238e24f662ca978f","cross_cats_sorted":["cs.AI","cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2021-03-09T20:32:20Z","title_canon_sha256":"6178671f37d2754da4ff80ecead62d49238e02eea3c672fd42349e437f60931b"},"schema_version":"1.0","source":{"id":"2103.05704","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.05704","created_at":"2026-07-05T02:21:57Z"},{"alias_kind":"arxiv_version","alias_value":"2103.05704v1","created_at":"2026-07-05T02:21:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.05704","created_at":"2026-07-05T02:21:57Z"},{"alias_kind":"pith_short_12","alias_value":"X2D4GMOQXCLA","created_at":"2026-07-05T02:21:57Z"},{"alias_kind":"pith_short_16","alias_value":"X2D4GMOQXCLANITQ","created_at":"2026-07-05T02:21:57Z"},{"alias_kind":"pith_short_8","alias_value":"X2D4GMOQ","created_at":"2026-07-05T02:21:57Z"}],"graph_snapshots":[{"event_id":"sha256:7c1275151c85ee423b948b732f8c705072a53a2f8a116ed79b31f64bd4f646a6","target":"graph","created_at":"2026-07-05T02:21:57Z","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/2103.05704/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A common need for mobile application development by end-users or in computing education is to transform a sketch of a user interface into wireframe code using App Inventor, a popular block-based programming environment. As this task is challenging and time-consuming, we present the Sketch2aia approach that automates this process. Sketch2aia employs deep learning to detect the most frequent user interface components and their position on a hand-drawn sketch creating an intermediate representation of the user interface and then automatically generates the App Inventor code of the wireframe. The ","authors_text":"Aldo von Wangenheim, Christiane Gresse von Wangenheim, Daniel Baul\\'e, Edson C. Vargas J\\'unior, Jean C. R. Hauck","cross_cats":["cs.AI","cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2021-03-09T20:32:20Z","title":"Automatic code generation from sketches of mobile applications in end-user development using Deep Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.05704","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:f2ec23ca1ebafe2e985c8c5918206bde4f30e0158e5490890918bc67ef73da1d","target":"record","created_at":"2026-07-05T02:21:57Z","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":"1a6d8d5a71dbd011f5dd2f374078d585c30811386d7be506238e24f662ca978f","cross_cats_sorted":["cs.AI","cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2021-03-09T20:32:20Z","title_canon_sha256":"6178671f37d2754da4ff80ecead62d49238e02eea3c672fd42349e437f60931b"},"schema_version":"1.0","source":{"id":"2103.05704","kind":"arxiv","version":1}},"canonical_sha256":"be87c331d0b89606a27088862d2ea9e1ce7ccaa2c0ae4266555731ff060c874e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"be87c331d0b89606a27088862d2ea9e1ce7ccaa2c0ae4266555731ff060c874e","first_computed_at":"2026-07-05T02:21:57.264447Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:21:57.264447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Whr8mrR1NXEl/Bkx9+qZyeTplzYzmiuTt/9Pow4/4jAVozFnhWly9r93jCHkFdLIZANLQrtUEcN8FMIfa3f8Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:21:57.264935Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.05704","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f2ec23ca1ebafe2e985c8c5918206bde4f30e0158e5490890918bc67ef73da1d","sha256:7c1275151c85ee423b948b732f8c705072a53a2f8a116ed79b31f64bd4f646a6"],"state_sha256":"1ef1367e3714048feebbbdb0dcfd05137e3069542c684120d15f3d9162568375"}