{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:KBUVY7ARUHG6MTEDLTTIKL6Y65","short_pith_number":"pith:KBUVY7AR","canonical_record":{"source":{"id":"2307.02511","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-05T10:07:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c0d88974be15ff38440262353ce05baec68e794f0ee742118d2f3a747f543fa2","abstract_canon_sha256":"55cba9411310f5840976466872c94ad4f42151f9b4d88c93d01637ebd5c09650"},"schema_version":"1.0"},"canonical_sha256":"50695c7c11a1cde64c835ce6852fd8f74df7c6aaec6f8203493c739602c68368","source":{"kind":"arxiv","id":"2307.02511","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.02511","created_at":"2026-07-05T08:14:49Z"},{"alias_kind":"arxiv_version","alias_value":"2307.02511v2","created_at":"2026-07-05T08:14:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.02511","created_at":"2026-07-05T08:14:49Z"},{"alias_kind":"pith_short_12","alias_value":"KBUVY7ARUHG6","created_at":"2026-07-05T08:14:49Z"},{"alias_kind":"pith_short_16","alias_value":"KBUVY7ARUHG6MTED","created_at":"2026-07-05T08:14:49Z"},{"alias_kind":"pith_short_8","alias_value":"KBUVY7AR","created_at":"2026-07-05T08:14:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:KBUVY7ARUHG6MTEDLTTIKL6Y65","target":"record","payload":{"canonical_record":{"source":{"id":"2307.02511","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-05T10:07:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c0d88974be15ff38440262353ce05baec68e794f0ee742118d2f3a747f543fa2","abstract_canon_sha256":"55cba9411310f5840976466872c94ad4f42151f9b4d88c93d01637ebd5c09650"},"schema_version":"1.0"},"canonical_sha256":"50695c7c11a1cde64c835ce6852fd8f74df7c6aaec6f8203493c739602c68368","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:14:49.531715Z","signature_b64":"C753v/U66DRLjeLk54PkZTdAvsiibVlNwvMyu3rDtafiOxijgJbvP/OdDuJaWZORszBkcvok4dALdTK0lLr7DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"50695c7c11a1cde64c835ce6852fd8f74df7c6aaec6f8203493c739602c68368","last_reissued_at":"2026-07-05T08:14:49.531241Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:14:49.531241Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.02511","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:14:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cQc1+sMFJ6HjqYXD/da/1UfJ+yChlpk1jgDHYEvD+VsiiI6ZXNsolhkF2mDtnUClYWp2Vpmge4fwuE9d4skkDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T21:21:00.725603Z"},"content_sha256":"14ab209f40e2fc7e79cd8c271431fc4ad5f8f41ed0ab8155c8eea7406337e8db","schema_version":"1.0","event_id":"sha256:14ab209f40e2fc7e79cd8c271431fc4ad5f8f41ed0ab8155c8eea7406337e8db"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:KBUVY7ARUHG6MTEDLTTIKL6Y65","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automating Computational Design with Generative AI","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Joern Ploennigs, Markus Berger","submitted_at":"2023-07-05T10:07:50Z","abstract_excerpt":"AI image generators based on diffusion models have recently garnered attention for their capability to create images from simple text prompts. However, for practical use in civil engineering they need to be able to create specific construction plans for given constraints. This paper investigates the potential of current AI generators in addressing such challenges, specifically for the creation of simple floor plans. We explain how the underlying diffusion-models work and propose novel refinement approaches to improve semantic encoding and generation quality. In several experiments we show that"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.02511","kind":"arxiv","version":2},"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/2307.02511/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:14:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cn3VZbXp/7zaVjIqkJjB677bb2+cwFRLNsFhfsnFNjAPk83yE3lY4tL4rXVYeGOX8GOWKhYRsC+sUAzJmW+0Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T21:21:00.726105Z"},"content_sha256":"7aba60e8251d1d13aaa335d5fbda5b36d217601306e878f10dd77088f5950e42","schema_version":"1.0","event_id":"sha256:7aba60e8251d1d13aaa335d5fbda5b36d217601306e878f10dd77088f5950e42"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KBUVY7ARUHG6MTEDLTTIKL6Y65/bundle.json","state_url":"https://pith.science/pith/KBUVY7ARUHG6MTEDLTTIKL6Y65/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KBUVY7ARUHG6MTEDLTTIKL6Y65/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-21T21:21:00Z","links":{"resolver":"https://pith.science/pith/KBUVY7ARUHG6MTEDLTTIKL6Y65","bundle":"https://pith.science/pith/KBUVY7ARUHG6MTEDLTTIKL6Y65/bundle.json","state":"https://pith.science/pith/KBUVY7ARUHG6MTEDLTTIKL6Y65/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KBUVY7ARUHG6MTEDLTTIKL6Y65/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KBUVY7ARUHG6MTEDLTTIKL6Y65","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":"55cba9411310f5840976466872c94ad4f42151f9b4d88c93d01637ebd5c09650","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-05T10:07:50Z","title_canon_sha256":"c0d88974be15ff38440262353ce05baec68e794f0ee742118d2f3a747f543fa2"},"schema_version":"1.0","source":{"id":"2307.02511","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.02511","created_at":"2026-07-05T08:14:49Z"},{"alias_kind":"arxiv_version","alias_value":"2307.02511v2","created_at":"2026-07-05T08:14:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.02511","created_at":"2026-07-05T08:14:49Z"},{"alias_kind":"pith_short_12","alias_value":"KBUVY7ARUHG6","created_at":"2026-07-05T08:14:49Z"},{"alias_kind":"pith_short_16","alias_value":"KBUVY7ARUHG6MTED","created_at":"2026-07-05T08:14:49Z"},{"alias_kind":"pith_short_8","alias_value":"KBUVY7AR","created_at":"2026-07-05T08:14:49Z"}],"graph_snapshots":[{"event_id":"sha256:7aba60e8251d1d13aaa335d5fbda5b36d217601306e878f10dd77088f5950e42","target":"graph","created_at":"2026-07-05T08:14:49Z","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/2307.02511/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"AI image generators based on diffusion models have recently garnered attention for their capability to create images from simple text prompts. However, for practical use in civil engineering they need to be able to create specific construction plans for given constraints. This paper investigates the potential of current AI generators in addressing such challenges, specifically for the creation of simple floor plans. We explain how the underlying diffusion-models work and propose novel refinement approaches to improve semantic encoding and generation quality. In several experiments we show that","authors_text":"Joern Ploennigs, Markus Berger","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-05T10:07:50Z","title":"Automating Computational Design with Generative AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.02511","kind":"arxiv","version":2},"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":"sha256:14ab209f40e2fc7e79cd8c271431fc4ad5f8f41ed0ab8155c8eea7406337e8db","target":"record","created_at":"2026-07-05T08:14:49Z","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":"55cba9411310f5840976466872c94ad4f42151f9b4d88c93d01637ebd5c09650","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-05T10:07:50Z","title_canon_sha256":"c0d88974be15ff38440262353ce05baec68e794f0ee742118d2f3a747f543fa2"},"schema_version":"1.0","source":{"id":"2307.02511","kind":"arxiv","version":2}},"canonical_sha256":"50695c7c11a1cde64c835ce6852fd8f74df7c6aaec6f8203493c739602c68368","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50695c7c11a1cde64c835ce6852fd8f74df7c6aaec6f8203493c739602c68368","first_computed_at":"2026-07-05T08:14:49.531241Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:14:49.531241Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C753v/U66DRLjeLk54PkZTdAvsiibVlNwvMyu3rDtafiOxijgJbvP/OdDuJaWZORszBkcvok4dALdTK0lLr7DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:14:49.531715Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.02511","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:14ab209f40e2fc7e79cd8c271431fc4ad5f8f41ed0ab8155c8eea7406337e8db","sha256:7aba60e8251d1d13aaa335d5fbda5b36d217601306e878f10dd77088f5950e42"],"state_sha256":"371e0a0584def357d2cf562f69158c3bc990a3bc00f63825bd0f842122a2ed8c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E2zCf3DisQi+rOGmx/Tyq0uyhndY5W4BlVB2wxt9suYXj1NLYZfptAB2GN2NRHAqnjbAVr/FX7nUE7K/2dEkDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T21:21:00.730023Z","bundle_sha256":"d2b9c11dcde1600b5d1c63a6730f0a1b021c8f8c22aee9b0fa85dfcb4fb0ce88"}}