{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:ICY5MG3UOST5J44SD23A26I7SK","short_pith_number":"pith:ICY5MG3U","canonical_record":{"source":{"id":"1905.12702","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-05-29T20:03:03Z","cross_cats_sorted":[],"title_canon_sha256":"dea79316098794ea55da2db421d43be451806b39f005129a1e92b7ea3fc06ecb","abstract_canon_sha256":"07599a5442cf873a5e115dc07b958b6ac82dc39a0e96ffed69e56dd3a5674ef3"},"schema_version":"1.0"},"canonical_sha256":"40b1d61b7474a7d4f3921eb60d791f92abffe7118c1faef35a2b13c848682cf2","source":{"kind":"arxiv","id":"1905.12702","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.12702","created_at":"2026-05-17T23:44:39Z"},{"alias_kind":"arxiv_version","alias_value":"1905.12702v1","created_at":"2026-05-17T23:44:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.12702","created_at":"2026-05-17T23:44:39Z"},{"alias_kind":"pith_short_12","alias_value":"ICY5MG3UOST5","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"ICY5MG3UOST5J44S","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"ICY5MG3U","created_at":"2026-05-18T12:33:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:ICY5MG3UOST5J44SD23A26I7SK","target":"record","payload":{"canonical_record":{"source":{"id":"1905.12702","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-05-29T20:03:03Z","cross_cats_sorted":[],"title_canon_sha256":"dea79316098794ea55da2db421d43be451806b39f005129a1e92b7ea3fc06ecb","abstract_canon_sha256":"07599a5442cf873a5e115dc07b958b6ac82dc39a0e96ffed69e56dd3a5674ef3"},"schema_version":"1.0"},"canonical_sha256":"40b1d61b7474a7d4f3921eb60d791f92abffe7118c1faef35a2b13c848682cf2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:39.869702Z","signature_b64":"iGSLiaXOWhAHU8yx80HvaX3WG7qzKmIDBH2IdvPabhJp5hFGzEcL/xi/WPO0bLIqRMmWXkf1z5YQVtn+iyJOAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"40b1d61b7474a7d4f3921eb60d791f92abffe7118c1faef35a2b13c848682cf2","last_reissued_at":"2026-05-17T23:44:39.869176Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:39.869176Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.12702","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":"2026-05-17T23:44:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o8IBsoE5jorAOEHBr3/vXMVFU2IK/mNqwd5PYd+5cSVEuBYqUE6gKhgM+mcfiSj4ZZyxEqm3g0e5bJenS2QOCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T07:24:29.743069Z"},"content_sha256":"ffd2d41ec951937a72b5ca2f0a4f787da5d892fb31a3be497320055c4c66b30d","schema_version":"1.0","event_id":"sha256:ffd2d41ec951937a72b5ca2f0a4f787da5d892fb31a3be497320055c4c66b30d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:ICY5MG3UOST5J44SD23A26I7SK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spatial Evolutionary Generative Adversarial Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Erik Hemberg, Jamal Toutouh, Una-May O'Reilly","submitted_at":"2019-05-29T20:03:03Z","abstract_excerpt":"Generative adversary networks (GANs) suffer from training pathologies such as instability and mode collapse. These pathologies mainly arise from a lack of diversity in their adversarial interactions. Evolutionary generative adversarial networks apply the principles of evolutionary computation to mitigate these problems. We hybridize two of these approaches that promote training diversity. One, E-GAN, at each batch, injects mutation diversity by training the (replicated) generator with three independent objective functions then selecting the resulting best performing generator for the next batc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.12702","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:44:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GaytM1WK2lkSuUNk+nKzFlkHLEguLsAqyKMbim7yOcpcAU53rHjziRsEgKVve3+W2ZOJSwjJd5gIzKLlysdLCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T07:24:29.743770Z"},"content_sha256":"13dff19e8bf4c6ae0bbe8f6e5889ed26e92a843b7ed3f0fab6b9c45f67fc2db3","schema_version":"1.0","event_id":"sha256:13dff19e8bf4c6ae0bbe8f6e5889ed26e92a843b7ed3f0fab6b9c45f67fc2db3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ICY5MG3UOST5J44SD23A26I7SK/bundle.json","state_url":"https://pith.science/pith/ICY5MG3UOST5J44SD23A26I7SK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ICY5MG3UOST5J44SD23A26I7SK/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":"2026-06-07T07:24:29Z","links":{"resolver":"https://pith.science/pith/ICY5MG3UOST5J44SD23A26I7SK","bundle":"https://pith.science/pith/ICY5MG3UOST5J44SD23A26I7SK/bundle.json","state":"https://pith.science/pith/ICY5MG3UOST5J44SD23A26I7SK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ICY5MG3UOST5J44SD23A26I7SK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:ICY5MG3UOST5J44SD23A26I7SK","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":"07599a5442cf873a5e115dc07b958b6ac82dc39a0e96ffed69e56dd3a5674ef3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-05-29T20:03:03Z","title_canon_sha256":"dea79316098794ea55da2db421d43be451806b39f005129a1e92b7ea3fc06ecb"},"schema_version":"1.0","source":{"id":"1905.12702","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.12702","created_at":"2026-05-17T23:44:39Z"},{"alias_kind":"arxiv_version","alias_value":"1905.12702v1","created_at":"2026-05-17T23:44:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.12702","created_at":"2026-05-17T23:44:39Z"},{"alias_kind":"pith_short_12","alias_value":"ICY5MG3UOST5","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"ICY5MG3UOST5J44S","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"ICY5MG3U","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:13dff19e8bf4c6ae0bbe8f6e5889ed26e92a843b7ed3f0fab6b9c45f67fc2db3","target":"graph","created_at":"2026-05-17T23:44:39Z","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"},"paper":{"abstract_excerpt":"Generative adversary networks (GANs) suffer from training pathologies such as instability and mode collapse. These pathologies mainly arise from a lack of diversity in their adversarial interactions. Evolutionary generative adversarial networks apply the principles of evolutionary computation to mitigate these problems. We hybridize two of these approaches that promote training diversity. One, E-GAN, at each batch, injects mutation diversity by training the (replicated) generator with three independent objective functions then selecting the resulting best performing generator for the next batc","authors_text":"Erik Hemberg, Jamal Toutouh, Una-May O'Reilly","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-05-29T20:03:03Z","title":"Spatial Evolutionary Generative Adversarial Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.12702","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:ffd2d41ec951937a72b5ca2f0a4f787da5d892fb31a3be497320055c4c66b30d","target":"record","created_at":"2026-05-17T23:44:39Z","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":"07599a5442cf873a5e115dc07b958b6ac82dc39a0e96ffed69e56dd3a5674ef3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-05-29T20:03:03Z","title_canon_sha256":"dea79316098794ea55da2db421d43be451806b39f005129a1e92b7ea3fc06ecb"},"schema_version":"1.0","source":{"id":"1905.12702","kind":"arxiv","version":1}},"canonical_sha256":"40b1d61b7474a7d4f3921eb60d791f92abffe7118c1faef35a2b13c848682cf2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"40b1d61b7474a7d4f3921eb60d791f92abffe7118c1faef35a2b13c848682cf2","first_computed_at":"2026-05-17T23:44:39.869176Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:39.869176Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iGSLiaXOWhAHU8yx80HvaX3WG7qzKmIDBH2IdvPabhJp5hFGzEcL/xi/WPO0bLIqRMmWXkf1z5YQVtn+iyJOAA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:39.869702Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.12702","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ffd2d41ec951937a72b5ca2f0a4f787da5d892fb31a3be497320055c4c66b30d","sha256:13dff19e8bf4c6ae0bbe8f6e5889ed26e92a843b7ed3f0fab6b9c45f67fc2db3"],"state_sha256":"0b3c3485c0290df810bf2d502e949102d2e020bd99c92a13c32342fc82f4ef2b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+1m6u5ShwQcjexzcgvNsQrCO4zD2G2WntyIcT48cmfJMaKUPf9kwl719MIKicJXR7F0jpq6h+xp0YCG6fwUjDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T07:24:29.747789Z","bundle_sha256":"414e1fa46f341c88ba3bdeed60a73f467281038839c079e2d40895d877b99686"}}