{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:24K4UHI55O4UO2AOKK6Z7UIV7B","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":"2b94e37430eb5de62efeca52c62469b578605bbd3df07e15465a03a3384043c8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-22T15:27:55Z","title_canon_sha256":"4497668f20838f0777150dd020c9d9ea516c6d583eb09eef81e9446295a9c0a2"},"schema_version":"1.0","source":{"id":"2407.15723","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.15723","created_at":"2026-07-05T08:47:00Z"},{"alias_kind":"arxiv_version","alias_value":"2407.15723v1","created_at":"2026-07-05T08:47:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.15723","created_at":"2026-07-05T08:47:00Z"},{"alias_kind":"pith_short_12","alias_value":"24K4UHI55O4U","created_at":"2026-07-05T08:47:00Z"},{"alias_kind":"pith_short_16","alias_value":"24K4UHI55O4UO2AO","created_at":"2026-07-05T08:47:00Z"},{"alias_kind":"pith_short_8","alias_value":"24K4UHI5","created_at":"2026-07-05T08:47:00Z"}],"graph_snapshots":[{"event_id":"sha256:51b1626bfa1a8dae6756cb9ec4f9e3f79d0659280ce329d9e0f4a91c4506de6c","target":"graph","created_at":"2026-07-05T08:47:00Z","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/2407.15723/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text conditioned generative models for images have yielded impressive results. Text conditioned floorplan generation as a special type of raster image generation task also received particular attention. However there are many use cases in floorpla generation where numerical properties of the generated result are more important than the aesthetics. For instance, one might want to specify sizes for certain rooms in a floorplan and compare the generated floorplan with given specifications Current approaches, datasets and commonly used evaluations do not support these kinds of constraints. As such","authors_text":"Christopher Beckham, Christopher Pal, Florian Golemo, Ge Ya Luo, Luis Lara, Zhi Hao Luo","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-22T15:27:55Z","title":"DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan Design"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.15723","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":"sha256:69f29128a84bf4d67bda1e9de9d0a904fd9f0b5948ef247375e1760f1f402855","target":"record","created_at":"2026-07-05T08:47:00Z","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":"2b94e37430eb5de62efeca52c62469b578605bbd3df07e15465a03a3384043c8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-22T15:27:55Z","title_canon_sha256":"4497668f20838f0777150dd020c9d9ea516c6d583eb09eef81e9446295a9c0a2"},"schema_version":"1.0","source":{"id":"2407.15723","kind":"arxiv","version":1}},"canonical_sha256":"d715ca1d1debb947680e52bd9fd115f87ca4b7991baca3099718e8ffe99ab226","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d715ca1d1debb947680e52bd9fd115f87ca4b7991baca3099718e8ffe99ab226","first_computed_at":"2026-07-05T08:47:00.257517Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:47:00.257517Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"m0TPSFFv+v7gDmv6Z1cgDyAPIZmwBqV6HALbk2LiCudRNl3FIEFrOXnCnUatpYxdLLJNTFPxI+RKyTGDZhXDDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:47:00.258040Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.15723","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:69f29128a84bf4d67bda1e9de9d0a904fd9f0b5948ef247375e1760f1f402855","sha256:51b1626bfa1a8dae6756cb9ec4f9e3f79d0659280ce329d9e0f4a91c4506de6c"],"state_sha256":"9d2448cac1bc63b717ac23dff8f609f161efd0178a4b6feb8debb0933b991e73"}