{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:YWYW7HGW2ZLEZ4QBD4PBK2VSIQ","short_pith_number":"pith:YWYW7HGW","canonical_record":{"source":{"id":"2106.06561","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-11T18:23:00Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"3de68e73fa04a547c1e879b77d136751c865a2ae8a1df80df3f182710115e420","abstract_canon_sha256":"d82d3e27eca669bb2f699cf4afa1e23fdba6bf2990b97b446bb1c7886c94e2d2"},"schema_version":"1.0"},"canonical_sha256":"c5b16f9cd6d6564cf2011f1e156ab2441718a1abb10cd8aadef5bc96a7087b65","source":{"kind":"arxiv","id":"2106.06561","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.06561","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"arxiv_version","alias_value":"2106.06561v1","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.06561","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"pith_short_12","alias_value":"YWYW7HGW2ZLE","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"pith_short_16","alias_value":"YWYW7HGW2ZLEZ4QB","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"pith_short_8","alias_value":"YWYW7HGW","created_at":"2026-07-05T02:48:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:YWYW7HGW2ZLEZ4QBD4PBK2VSIQ","target":"record","payload":{"canonical_record":{"source":{"id":"2106.06561","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-11T18:23:00Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"3de68e73fa04a547c1e879b77d136751c865a2ae8a1df80df3f182710115e420","abstract_canon_sha256":"d82d3e27eca669bb2f699cf4afa1e23fdba6bf2990b97b446bb1c7886c94e2d2"},"schema_version":"1.0"},"canonical_sha256":"c5b16f9cd6d6564cf2011f1e156ab2441718a1abb10cd8aadef5bc96a7087b65","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:48:39.070853Z","signature_b64":"DAoCAoSmsLhXkHo4xZjTsx2l/sqlUzMl2QrhiwvCZfG+l2i13HX38/XE5t/KtuDzjfUfP2Cuz8sVWp9OdVAlCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c5b16f9cd6d6564cf2011f1e156ab2441718a1abb10cd8aadef5bc96a7087b65","last_reissued_at":"2026-07-05T02:48:39.070411Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:48:39.070411Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.06561","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":"2026-07-05T02:48:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b0R7Xdey3+j5MzYvmHRudwkXA8c7uAzq8j9rFYwALr/xy82seOF0BZx5OJV6VOHdghPwDwbjrtOfzsrlxiDADw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T03:46:49.176804Z"},"content_sha256":"b0cdd3bf0dc8d3108fd2f29ca9e81930cafd6264b7929403a687fa7400f47fce","schema_version":"1.0","event_id":"sha256:b0cdd3bf0dc8d3108fd2f29ca9e81930cafd6264b7929403a687fa7400f47fce"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:YWYW7HGW2ZLEZ4QBD4PBK2VSIQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR","cs.LG"],"primary_cat":"cs.CV","authors_text":"David Forsyth, Min Jin Chong","submitted_at":"2021-06-11T18:23:00Z","abstract_excerpt":"We show how to learn a map that takes a content code, derived from a face image, and a randomly chosen style code to an anime image. We derive an adversarial loss from our simple and effective definitions of style and content. This adversarial loss guarantees the map is diverse -- a very wide range of anime can be produced from a single content code. Under plausible assumptions, the map is not just diverse, but also correctly represents the probability of an anime, conditioned on an input face. In contrast, current multimodal generation procedures cannot capture the complex styles that appear "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.06561","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/2106.06561/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":"2026-07-05T02:48:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KbCQqqyPYj0yLD5dazO+JcCXFh2Qsep2O6TH610df1MPFjGzFCoTHXr2/IkAqi1k6QHrd8jkqKRDvEsRb4uwCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T03:46:49.177567Z"},"content_sha256":"49a9d5d927590774875bc4a8d72d6fef0498e9de8fbca24598b8407cc8394a70","schema_version":"1.0","event_id":"sha256:49a9d5d927590774875bc4a8d72d6fef0498e9de8fbca24598b8407cc8394a70"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YWYW7HGW2ZLEZ4QBD4PBK2VSIQ/bundle.json","state_url":"https://pith.science/pith/YWYW7HGW2ZLEZ4QBD4PBK2VSIQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YWYW7HGW2ZLEZ4QBD4PBK2VSIQ/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":"2026-08-06T03:46:49Z","links":{"resolver":"https://pith.science/pith/YWYW7HGW2ZLEZ4QBD4PBK2VSIQ","bundle":"https://pith.science/pith/YWYW7HGW2ZLEZ4QBD4PBK2VSIQ/bundle.json","state":"https://pith.science/pith/YWYW7HGW2ZLEZ4QBD4PBK2VSIQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YWYW7HGW2ZLEZ4QBD4PBK2VSIQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:YWYW7HGW2ZLEZ4QBD4PBK2VSIQ","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":"d82d3e27eca669bb2f699cf4afa1e23fdba6bf2990b97b446bb1c7886c94e2d2","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-11T18:23:00Z","title_canon_sha256":"3de68e73fa04a547c1e879b77d136751c865a2ae8a1df80df3f182710115e420"},"schema_version":"1.0","source":{"id":"2106.06561","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.06561","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"arxiv_version","alias_value":"2106.06561v1","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.06561","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"pith_short_12","alias_value":"YWYW7HGW2ZLE","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"pith_short_16","alias_value":"YWYW7HGW2ZLEZ4QB","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"pith_short_8","alias_value":"YWYW7HGW","created_at":"2026-07-05T02:48:39Z"}],"graph_snapshots":[{"event_id":"sha256:49a9d5d927590774875bc4a8d72d6fef0498e9de8fbca24598b8407cc8394a70","target":"graph","created_at":"2026-07-05T02:48:39Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2106.06561/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We show how to learn a map that takes a content code, derived from a face image, and a randomly chosen style code to an anime image. We derive an adversarial loss from our simple and effective definitions of style and content. This adversarial loss guarantees the map is diverse -- a very wide range of anime can be produced from a single content code. Under plausible assumptions, the map is not just diverse, but also correctly represents the probability of an anime, conditioned on an input face. In contrast, current multimodal generation procedures cannot capture the complex styles that appear ","authors_text":"David Forsyth, Min Jin Chong","cross_cats":["cs.GR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-11T18:23:00Z","title":"GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.06561","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:b0cdd3bf0dc8d3108fd2f29ca9e81930cafd6264b7929403a687fa7400f47fce","target":"record","created_at":"2026-07-05T02:48:39Z","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":"d82d3e27eca669bb2f699cf4afa1e23fdba6bf2990b97b446bb1c7886c94e2d2","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-11T18:23:00Z","title_canon_sha256":"3de68e73fa04a547c1e879b77d136751c865a2ae8a1df80df3f182710115e420"},"schema_version":"1.0","source":{"id":"2106.06561","kind":"arxiv","version":1}},"canonical_sha256":"c5b16f9cd6d6564cf2011f1e156ab2441718a1abb10cd8aadef5bc96a7087b65","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c5b16f9cd6d6564cf2011f1e156ab2441718a1abb10cd8aadef5bc96a7087b65","first_computed_at":"2026-07-05T02:48:39.070411Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:48:39.070411Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DAoCAoSmsLhXkHo4xZjTsx2l/sqlUzMl2QrhiwvCZfG+l2i13HX38/XE5t/KtuDzjfUfP2Cuz8sVWp9OdVAlCA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:48:39.070853Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.06561","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b0cdd3bf0dc8d3108fd2f29ca9e81930cafd6264b7929403a687fa7400f47fce","sha256:49a9d5d927590774875bc4a8d72d6fef0498e9de8fbca24598b8407cc8394a70"],"state_sha256":"aa6b57eeb528fb2b88074ec72d2bce655c015531fd0d7a64e854248b6e71820c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j27O/Pqu4Xq5DvlFaOLuS7zlsdr94+uraLQrYexj0JquxiD54Dwwvsqg4gO83tO512xYbNv7bxhhREmnp/3WAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T03:46:49.186629Z","bundle_sha256":"f10e3f58f8ee94c94adf6a101e791f25a3466bc39717fbd21d16a84fabd5d7c1"}}