{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:XM4YZ4UK2UK4WVIWSN5VKXWWND","short_pith_number":"pith:XM4YZ4UK","canonical_record":{"source":{"id":"2202.11777","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T20:45:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2c3369122e031fa826fb280e8e04db0d1015a6c7b43b9d99af911d65fdfa985f","abstract_canon_sha256":"745023450645b1595209a642a54dfebcd20c49bf67cfbefd273015cee4290214"},"schema_version":"1.0"},"canonical_sha256":"bb398cf28ad515cb5516937b555ed668de816adab692de36198616315dc1b183","source":{"kind":"arxiv","id":"2202.11777","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.11777","created_at":"2026-07-05T03:59:45Z"},{"alias_kind":"arxiv_version","alias_value":"2202.11777v1","created_at":"2026-07-05T03:59:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.11777","created_at":"2026-07-05T03:59:45Z"},{"alias_kind":"pith_short_12","alias_value":"XM4YZ4UK2UK4","created_at":"2026-07-05T03:59:45Z"},{"alias_kind":"pith_short_16","alias_value":"XM4YZ4UK2UK4WVIW","created_at":"2026-07-05T03:59:45Z"},{"alias_kind":"pith_short_8","alias_value":"XM4YZ4UK","created_at":"2026-07-05T03:59:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:XM4YZ4UK2UK4WVIWSN5VKXWWND","target":"record","payload":{"canonical_record":{"source":{"id":"2202.11777","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T20:45:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2c3369122e031fa826fb280e8e04db0d1015a6c7b43b9d99af911d65fdfa985f","abstract_canon_sha256":"745023450645b1595209a642a54dfebcd20c49bf67cfbefd273015cee4290214"},"schema_version":"1.0"},"canonical_sha256":"bb398cf28ad515cb5516937b555ed668de816adab692de36198616315dc1b183","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:59:45.916892Z","signature_b64":"LMeTnC+KSguJgE/CKFPwLtWPiwEt6273ix5m9yL4OHpTX3hEyZSp5/6X56/d2YvKqUUBabIu+NOXi9daPz10AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bb398cf28ad515cb5516937b555ed668de816adab692de36198616315dc1b183","last_reissued_at":"2026-07-05T03:59:45.916391Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:59:45.916391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.11777","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:59:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/pnAvPnp10IOHfl/a3wUp2cW7cOTuXDhKFEHDh/sPjH1NK9TG6GCPIK4BCOUJuFwVgEi7i1HZhmkaSIezW3GAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T18:39:10.782398Z"},"content_sha256":"bb12e847165bbbd20b6f7991bb1400243462e06e194ec5fc304760b44170edba","schema_version":"1.0","event_id":"sha256:bb12e847165bbbd20b6f7991bb1400243462e06e194ec5fc304760b44170edba"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:XM4YZ4UK2UK4WVIWSN5VKXWWND","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Art Creation with Multi-Conditional StyleGANs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Alejandro Sierra-M\\'unera, Florian H\\\"ubscher, Gerard de Melo, Jan Westphal, Konstantin Dobler, Ralf Krestel","submitted_at":"2022-02-23T20:45:41Z","abstract_excerpt":"Creating meaningful art is often viewed as a uniquely human endeavor. A human artist needs a combination of unique skills, understanding, and genuine intention to create artworks that evoke deep feelings and emotions. In this paper, we introduce a multi-conditional Generative Adversarial Network (GAN) approach trained on large amounts of human paintings to synthesize realistic-looking paintings that emulate human art. Our approach is based on the StyleGAN neural network architecture, but incorporates a custom multi-conditional control mechanism that provides fine-granular control over characte"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.11777","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/2202.11777/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":"2026-07-05T03:59:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8qi3SGZh7yaRN44g+mf/nGLZesX/YImay36Oq1f43QPJv4I3fWbWGOor265PckSpREcTfN33kQ0xVlI3dCB0Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T18:39:10.782953Z"},"content_sha256":"3194693ed1dc980c81030119014d3e29e4d05388020fb3089cdfcd558a1c3e5b","schema_version":"1.0","event_id":"sha256:3194693ed1dc980c81030119014d3e29e4d05388020fb3089cdfcd558a1c3e5b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XM4YZ4UK2UK4WVIWSN5VKXWWND/bundle.json","state_url":"https://pith.science/pith/XM4YZ4UK2UK4WVIWSN5VKXWWND/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XM4YZ4UK2UK4WVIWSN5VKXWWND/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":"2026-08-15T18:39:10Z","links":{"resolver":"https://pith.science/pith/XM4YZ4UK2UK4WVIWSN5VKXWWND","bundle":"https://pith.science/pith/XM4YZ4UK2UK4WVIWSN5VKXWWND/bundle.json","state":"https://pith.science/pith/XM4YZ4UK2UK4WVIWSN5VKXWWND/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XM4YZ4UK2UK4WVIWSN5VKXWWND/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:XM4YZ4UK2UK4WVIWSN5VKXWWND","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":"745023450645b1595209a642a54dfebcd20c49bf67cfbefd273015cee4290214","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T20:45:41Z","title_canon_sha256":"2c3369122e031fa826fb280e8e04db0d1015a6c7b43b9d99af911d65fdfa985f"},"schema_version":"1.0","source":{"id":"2202.11777","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.11777","created_at":"2026-07-05T03:59:45Z"},{"alias_kind":"arxiv_version","alias_value":"2202.11777v1","created_at":"2026-07-05T03:59:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.11777","created_at":"2026-07-05T03:59:45Z"},{"alias_kind":"pith_short_12","alias_value":"XM4YZ4UK2UK4","created_at":"2026-07-05T03:59:45Z"},{"alias_kind":"pith_short_16","alias_value":"XM4YZ4UK2UK4WVIW","created_at":"2026-07-05T03:59:45Z"},{"alias_kind":"pith_short_8","alias_value":"XM4YZ4UK","created_at":"2026-07-05T03:59:45Z"}],"graph_snapshots":[{"event_id":"sha256:3194693ed1dc980c81030119014d3e29e4d05388020fb3089cdfcd558a1c3e5b","target":"graph","created_at":"2026-07-05T03:59:45Z","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/2202.11777/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Creating meaningful art is often viewed as a uniquely human endeavor. A human artist needs a combination of unique skills, understanding, and genuine intention to create artworks that evoke deep feelings and emotions. In this paper, we introduce a multi-conditional Generative Adversarial Network (GAN) approach trained on large amounts of human paintings to synthesize realistic-looking paintings that emulate human art. Our approach is based on the StyleGAN neural network architecture, but incorporates a custom multi-conditional control mechanism that provides fine-granular control over characte","authors_text":"Alejandro Sierra-M\\'unera, Florian H\\\"ubscher, Gerard de Melo, Jan Westphal, Konstantin Dobler, Ralf Krestel","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T20:45:41Z","title":"Art Creation with Multi-Conditional StyleGANs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.11777","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:bb12e847165bbbd20b6f7991bb1400243462e06e194ec5fc304760b44170edba","target":"record","created_at":"2026-07-05T03:59:45Z","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":"745023450645b1595209a642a54dfebcd20c49bf67cfbefd273015cee4290214","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T20:45:41Z","title_canon_sha256":"2c3369122e031fa826fb280e8e04db0d1015a6c7b43b9d99af911d65fdfa985f"},"schema_version":"1.0","source":{"id":"2202.11777","kind":"arxiv","version":1}},"canonical_sha256":"bb398cf28ad515cb5516937b555ed668de816adab692de36198616315dc1b183","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bb398cf28ad515cb5516937b555ed668de816adab692de36198616315dc1b183","first_computed_at":"2026-07-05T03:59:45.916391Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:59:45.916391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LMeTnC+KSguJgE/CKFPwLtWPiwEt6273ix5m9yL4OHpTX3hEyZSp5/6X56/d2YvKqUUBabIu+NOXi9daPz10AA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:59:45.916892Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.11777","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb12e847165bbbd20b6f7991bb1400243462e06e194ec5fc304760b44170edba","sha256:3194693ed1dc980c81030119014d3e29e4d05388020fb3089cdfcd558a1c3e5b"],"state_sha256":"d35567067deba29d74d5f51f2eb9556a7e231ab1a6cbd8e65059ab42a5656641"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pQ9M+uyPLd4P+QMxPkiPJJFbFkjPAl99ZGPrBMzoT9hX3x8TWCP4Q01fq2nv+kls5QEgPHCeZyOTc6cocSPuDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T18:39:10.788902Z","bundle_sha256":"3c85e7960fe5646d4fab02a566ff06ac1d43e8d9ebcd685bd7e5d716d5622932"}}