{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:EMG5FP244ZRNUFMORWWUQHS6PW","short_pith_number":"pith:EMG5FP24","canonical_record":{"source":{"id":"1904.03189","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-05T17:31:56Z","cross_cats_sorted":[],"title_canon_sha256":"78fbe461297b7a4aec9b638d6da56f2e973be1f6364b396c7b35d6839729c0bd","abstract_canon_sha256":"17b486c78f4fdf2217d90f2db2e8ca4498ef66f6af9ee64df5aabfe7b9b66e91"},"schema_version":"1.0"},"canonical_sha256":"230dd2bf5ce662da158e8dad481e5e7d9eb000ce85bcc70efac11d4a908825be","source":{"kind":"arxiv","id":"1904.03189","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.03189","created_at":"2026-07-05T00:02:13Z"},{"alias_kind":"arxiv_version","alias_value":"1904.03189v2","created_at":"2026-07-05T00:02:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.03189","created_at":"2026-07-05T00:02:13Z"},{"alias_kind":"pith_short_12","alias_value":"EMG5FP244ZRN","created_at":"2026-07-05T00:02:13Z"},{"alias_kind":"pith_short_16","alias_value":"EMG5FP244ZRNUFMO","created_at":"2026-07-05T00:02:13Z"},{"alias_kind":"pith_short_8","alias_value":"EMG5FP24","created_at":"2026-07-05T00:02:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:EMG5FP244ZRNUFMORWWUQHS6PW","target":"record","payload":{"canonical_record":{"source":{"id":"1904.03189","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-05T17:31:56Z","cross_cats_sorted":[],"title_canon_sha256":"78fbe461297b7a4aec9b638d6da56f2e973be1f6364b396c7b35d6839729c0bd","abstract_canon_sha256":"17b486c78f4fdf2217d90f2db2e8ca4498ef66f6af9ee64df5aabfe7b9b66e91"},"schema_version":"1.0"},"canonical_sha256":"230dd2bf5ce662da158e8dad481e5e7d9eb000ce85bcc70efac11d4a908825be","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:02:13.094969Z","signature_b64":"YSCn6bli+AKp5Ue1h+7r2WdSCA16CIMauvY1m8xsnrBGlN9ilUPv56CegHS7nathFnFPCyX2tgBCgR53yneNAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"230dd2bf5ce662da158e8dad481e5e7d9eb000ce85bcc70efac11d4a908825be","last_reissued_at":"2026-07-05T00:02:13.094545Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:02:13.094545Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.03189","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":"2026-07-05T00:02:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zqzPXj1z1mzHoF0NFIG6Ls110IY0PnJHccsEo8pFr32byPfrFK98jfXCrKzpcZsb3AjLA8I6Af5bQO8ugNdBAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T06:41:35.640135Z"},"content_sha256":"5e31ac350c15090f807f1f0812166f119b4ae19cff0fafa2f054bf6c96c2bd9d","schema_version":"1.0","event_id":"sha256:5e31ac350c15090f807f1f0812166f119b4ae19cff0fafa2f054bf6c96c2bd9d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:EMG5FP244ZRNUFMORWWUQHS6PW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Peter Wonka, Rameen Abdal, Yipeng Qin","submitted_at":"2019-04-05T17:31:56Z","abstract_excerpt":"We propose an efficient algorithm to embed a given image into the latent space of StyleGAN. This embedding enables semantic image editing operations that can be applied to existing photographs. Taking the StyleGAN trained on the FFHQ dataset as an example, we show results for image morphing, style transfer, and expression transfer. Studying the results of the embedding algorithm provides valuable insights into the structure of the StyleGAN latent space. We propose a set of experiments to test what class of images can be embedded, how they are embedded, what latent space is suitable for embeddi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.03189","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/1904.03189/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":"2026-07-05T00:02:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tm2AAAudS7ZmXhmoQtcdRD6Qutfkp8LaI0XQHiLJJ3w8n9JjZ9qfnbqYrcFS9FOncfYOxKXBXwtSQbqOQwYlBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T06:41:35.640753Z"},"content_sha256":"d21052c5cffe6bf8f4e85b5a328b93dc65d3134d210806c96d734108d8273b0f","schema_version":"1.0","event_id":"sha256:d21052c5cffe6bf8f4e85b5a328b93dc65d3134d210806c96d734108d8273b0f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EMG5FP244ZRNUFMORWWUQHS6PW/bundle.json","state_url":"https://pith.science/pith/EMG5FP244ZRNUFMORWWUQHS6PW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EMG5FP244ZRNUFMORWWUQHS6PW/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":"2026-08-14T06:41:35Z","links":{"resolver":"https://pith.science/pith/EMG5FP244ZRNUFMORWWUQHS6PW","bundle":"https://pith.science/pith/EMG5FP244ZRNUFMORWWUQHS6PW/bundle.json","state":"https://pith.science/pith/EMG5FP244ZRNUFMORWWUQHS6PW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EMG5FP244ZRNUFMORWWUQHS6PW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:EMG5FP244ZRNUFMORWWUQHS6PW","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":"17b486c78f4fdf2217d90f2db2e8ca4498ef66f6af9ee64df5aabfe7b9b66e91","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-05T17:31:56Z","title_canon_sha256":"78fbe461297b7a4aec9b638d6da56f2e973be1f6364b396c7b35d6839729c0bd"},"schema_version":"1.0","source":{"id":"1904.03189","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.03189","created_at":"2026-07-05T00:02:13Z"},{"alias_kind":"arxiv_version","alias_value":"1904.03189v2","created_at":"2026-07-05T00:02:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.03189","created_at":"2026-07-05T00:02:13Z"},{"alias_kind":"pith_short_12","alias_value":"EMG5FP244ZRN","created_at":"2026-07-05T00:02:13Z"},{"alias_kind":"pith_short_16","alias_value":"EMG5FP244ZRNUFMO","created_at":"2026-07-05T00:02:13Z"},{"alias_kind":"pith_short_8","alias_value":"EMG5FP24","created_at":"2026-07-05T00:02:13Z"}],"graph_snapshots":[{"event_id":"sha256:d21052c5cffe6bf8f4e85b5a328b93dc65d3134d210806c96d734108d8273b0f","target":"graph","created_at":"2026-07-05T00:02:13Z","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/1904.03189/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose an efficient algorithm to embed a given image into the latent space of StyleGAN. This embedding enables semantic image editing operations that can be applied to existing photographs. Taking the StyleGAN trained on the FFHQ dataset as an example, we show results for image morphing, style transfer, and expression transfer. Studying the results of the embedding algorithm provides valuable insights into the structure of the StyleGAN latent space. We propose a set of experiments to test what class of images can be embedded, how they are embedded, what latent space is suitable for embeddi","authors_text":"Peter Wonka, Rameen Abdal, Yipeng Qin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-05T17:31:56Z","title":"Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.03189","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":"sha256:5e31ac350c15090f807f1f0812166f119b4ae19cff0fafa2f054bf6c96c2bd9d","target":"record","created_at":"2026-07-05T00:02:13Z","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":"17b486c78f4fdf2217d90f2db2e8ca4498ef66f6af9ee64df5aabfe7b9b66e91","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-05T17:31:56Z","title_canon_sha256":"78fbe461297b7a4aec9b638d6da56f2e973be1f6364b396c7b35d6839729c0bd"},"schema_version":"1.0","source":{"id":"1904.03189","kind":"arxiv","version":2}},"canonical_sha256":"230dd2bf5ce662da158e8dad481e5e7d9eb000ce85bcc70efac11d4a908825be","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"230dd2bf5ce662da158e8dad481e5e7d9eb000ce85bcc70efac11d4a908825be","first_computed_at":"2026-07-05T00:02:13.094545Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:02:13.094545Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YSCn6bli+AKp5Ue1h+7r2WdSCA16CIMauvY1m8xsnrBGlN9ilUPv56CegHS7nathFnFPCyX2tgBCgR53yneNAg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:02:13.094969Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.03189","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e31ac350c15090f807f1f0812166f119b4ae19cff0fafa2f054bf6c96c2bd9d","sha256:d21052c5cffe6bf8f4e85b5a328b93dc65d3134d210806c96d734108d8273b0f"],"state_sha256":"fb31617052e6cd0a7d38b7a391cd36804e71a753f12a62c73a1996e7a48e1c80"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fq+wqpY+PFsr5YDHnZ1c8g0BVZkmeNwW8x8rWoZ+MYg3+SKAYN+2inuzDe5tp4lqI9kFxFe5GkJTxdKoZTlbAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T06:41:35.645247Z","bundle_sha256":"2125ca07363dfecd4316b8d4c77bcf48625eb7b2b1a1efd93549b26bd079090b"}}