{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:IVIL7BW4DXT7UYMCVZASVRSURM","short_pith_number":"pith:IVIL7BW4","schema_version":"1.0","canonical_sha256":"4550bf86dc1de7fa6182ae412ac6548b134fcf73b47cd5436c10e997dae02293","source":{"kind":"arxiv","id":"1703.03773","version":1},"attestation_state":"computed","paper":{"title":"Evolutionary Image Composition Using Feature Covariance Matrices","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Aneta Neumann, Frank Neumann, Wojciech Chojnacki, Zygmunt L. Szpak","submitted_at":"2017-03-10T17:31:36Z","abstract_excerpt":"Evolutionary algorithms have recently been used to create a wide range of artistic work. In this paper, we propose a new approach for the composition of new images from existing ones, that retain some salient features of the original images. We introduce evolutionary algorithms that create new images based on a fitness function that incorporates feature covariance matrices associated with different parts of the images. This approach is very flexible in that it can work with a wide range of features and enables targeting specific regions in the images. For the creation of the new images, we pro"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1703.03773","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2017-03-10T17:31:36Z","cross_cats_sorted":[],"title_canon_sha256":"dee7e3ca69c1263ce2143fcb3ec4517d7b73034603928935a45d6990be76423c","abstract_canon_sha256":"f43c7bb81c915d9c9a4bb14365c0a09dcee594722713fec91ec751f01a47f8b2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:48:55.778287Z","signature_b64":"x26O7DEFHpky5GPLrrGMcan0W1TSxTCxI744/B2SI7uM8qDC/Hg3sCv5UqUdZkvq+ue1yC7+OekqcsLXoX/SAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4550bf86dc1de7fa6182ae412ac6548b134fcf73b47cd5436c10e997dae02293","last_reissued_at":"2026-05-18T00:48:55.777414Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:48:55.777414Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Evolutionary Image Composition Using Feature Covariance Matrices","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Aneta Neumann, Frank Neumann, Wojciech Chojnacki, Zygmunt L. Szpak","submitted_at":"2017-03-10T17:31:36Z","abstract_excerpt":"Evolutionary algorithms have recently been used to create a wide range of artistic work. In this paper, we propose a new approach for the composition of new images from existing ones, that retain some salient features of the original images. We introduce evolutionary algorithms that create new images based on a fitness function that incorporates feature covariance matrices associated with different parts of the images. This approach is very flexible in that it can work with a wide range of features and enables targeting specific regions in the images. For the creation of the new images, we pro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.03773","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1703.03773","created_at":"2026-05-18T00:48:55.777562+00:00"},{"alias_kind":"arxiv_version","alias_value":"1703.03773v1","created_at":"2026-05-18T00:48:55.777562+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.03773","created_at":"2026-05-18T00:48:55.777562+00:00"},{"alias_kind":"pith_short_12","alias_value":"IVIL7BW4DXT7","created_at":"2026-05-18T12:31:21.493067+00:00"},{"alias_kind":"pith_short_16","alias_value":"IVIL7BW4DXT7UYMC","created_at":"2026-05-18T12:31:21.493067+00:00"},{"alias_kind":"pith_short_8","alias_value":"IVIL7BW4","created_at":"2026-05-18T12:31:21.493067+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/IVIL7BW4DXT7UYMCVZASVRSURM","json":"https://pith.science/pith/IVIL7BW4DXT7UYMCVZASVRSURM.json","graph_json":"https://pith.science/api/pith-number/IVIL7BW4DXT7UYMCVZASVRSURM/graph.json","events_json":"https://pith.science/api/pith-number/IVIL7BW4DXT7UYMCVZASVRSURM/events.json","paper":"https://pith.science/paper/IVIL7BW4"},"agent_actions":{"view_html":"https://pith.science/pith/IVIL7BW4DXT7UYMCVZASVRSURM","download_json":"https://pith.science/pith/IVIL7BW4DXT7UYMCVZASVRSURM.json","view_paper":"https://pith.science/paper/IVIL7BW4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1703.03773&json=true","fetch_graph":"https://pith.science/api/pith-number/IVIL7BW4DXT7UYMCVZASVRSURM/graph.json","fetch_events":"https://pith.science/api/pith-number/IVIL7BW4DXT7UYMCVZASVRSURM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IVIL7BW4DXT7UYMCVZASVRSURM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IVIL7BW4DXT7UYMCVZASVRSURM/action/storage_attestation","attest_author":"https://pith.science/pith/IVIL7BW4DXT7UYMCVZASVRSURM/action/author_attestation","sign_citation":"https://pith.science/pith/IVIL7BW4DXT7UYMCVZASVRSURM/action/citation_signature","submit_replication":"https://pith.science/pith/IVIL7BW4DXT7UYMCVZASVRSURM/action/replication_record"}},"created_at":"2026-05-18T00:48:55.777562+00:00","updated_at":"2026-05-18T00:48:55.777562+00:00"}