{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:X2ODP2MEZ5JVKC7TFJQPM7YRWR","short_pith_number":"pith:X2ODP2ME","canonical_record":{"source":{"id":"2104.14754","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-30T04:43:24Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2907d02748ffdba87072db2132786c2c37168ae46f2feda3f5603d4f04392169","abstract_canon_sha256":"e1ef0ae5d378266a4ec6aab32a366d85c24136cd0166619966c23efa2e43b31a"},"schema_version":"1.0"},"canonical_sha256":"be9c37e984cf53550bf32a60f67f11b45e8f237ecaa3827e653b0581787a33fb","source":{"kind":"arxiv","id":"2104.14754","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.14754","created_at":"2026-07-05T02:51:40Z"},{"alias_kind":"arxiv_version","alias_value":"2104.14754v2","created_at":"2026-07-05T02:51:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.14754","created_at":"2026-07-05T02:51:40Z"},{"alias_kind":"pith_short_12","alias_value":"X2ODP2MEZ5JV","created_at":"2026-07-05T02:51:40Z"},{"alias_kind":"pith_short_16","alias_value":"X2ODP2MEZ5JVKC7T","created_at":"2026-07-05T02:51:40Z"},{"alias_kind":"pith_short_8","alias_value":"X2ODP2ME","created_at":"2026-07-05T02:51:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:X2ODP2MEZ5JVKC7TFJQPM7YRWR","target":"record","payload":{"canonical_record":{"source":{"id":"2104.14754","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-30T04:43:24Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2907d02748ffdba87072db2132786c2c37168ae46f2feda3f5603d4f04392169","abstract_canon_sha256":"e1ef0ae5d378266a4ec6aab32a366d85c24136cd0166619966c23efa2e43b31a"},"schema_version":"1.0"},"canonical_sha256":"be9c37e984cf53550bf32a60f67f11b45e8f237ecaa3827e653b0581787a33fb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:51:40.211567Z","signature_b64":"7RD6CuhIXz2ArczF8wsIl/IF+V8H0EVE27WJoPm/6YXRrsch13dHH9GmI49E1NgnRkLJk6Wqm9V1Y9qpmkexBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"be9c37e984cf53550bf32a60f67f11b45e8f237ecaa3827e653b0581787a33fb","last_reissued_at":"2026-07-05T02:51:40.211119Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:51:40.211119Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2104.14754","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":"2026-07-05T02:51:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uevBD33y2Mfv+BwRRHrzD6f93H3chgySMJHXVkwUbN7m7okdz+/+0Rq908G+zLIz6BMG8Lf+EJRZ8FXNUvMdCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T20:24:17.014619Z"},"content_sha256":"426f3099ff50ce923a5fb7affe9bdb150636b2226eb96ecd04a551631c4ae49a","schema_version":"1.0","event_id":"sha256:426f3099ff50ce923a5fb7affe9bdb150636b2226eb96ecd04a551631c4ae49a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:X2ODP2MEZ5JVKC7TFJQPM7YRWR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Hyunsu Kim, Junho Kim, Sungjoo Yoo, Youngjung Uh, Yunjey Choi","submitted_at":"2021-04-30T04:43:24Z","abstract_excerpt":"Generative adversarial networks (GANs) synthesize realistic images from random latent vectors. Although manipulating the latent vectors controls the synthesized outputs, editing real images with GANs suffers from i) time-consuming optimization for projecting real images to the latent vectors, ii) or inaccurate embedding through an encoder. We propose StyleMapGAN: the intermediate latent space has spatial dimensions, and a spatially variant modulation replaces AdaIN. It makes the embedding through an encoder more accurate than existing optimization-based methods while maintaining the properties"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.14754","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/2104.14754/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":"2026-07-05T02:51:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+BQy6Pi9tCymyhUMxT+D4xWN4RyOJoPf9Mv3I1ZjnvLzwzWQQE2AuQtVgMHJ4purnPzk1LqkbKQh7tkSxhPNBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T20:24:17.015103Z"},"content_sha256":"cd7dc501c503e0a8ade0e39212d9d67366dccf593c2feaba9d30b48409eeb247","schema_version":"1.0","event_id":"sha256:cd7dc501c503e0a8ade0e39212d9d67366dccf593c2feaba9d30b48409eeb247"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/X2ODP2MEZ5JVKC7TFJQPM7YRWR/bundle.json","state_url":"https://pith.science/pith/X2ODP2MEZ5JVKC7TFJQPM7YRWR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/X2ODP2MEZ5JVKC7TFJQPM7YRWR/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":"2026-08-06T20:24:17Z","links":{"resolver":"https://pith.science/pith/X2ODP2MEZ5JVKC7TFJQPM7YRWR","bundle":"https://pith.science/pith/X2ODP2MEZ5JVKC7TFJQPM7YRWR/bundle.json","state":"https://pith.science/pith/X2ODP2MEZ5JVKC7TFJQPM7YRWR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/X2ODP2MEZ5JVKC7TFJQPM7YRWR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:X2ODP2MEZ5JVKC7TFJQPM7YRWR","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":"e1ef0ae5d378266a4ec6aab32a366d85c24136cd0166619966c23efa2e43b31a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-30T04:43:24Z","title_canon_sha256":"2907d02748ffdba87072db2132786c2c37168ae46f2feda3f5603d4f04392169"},"schema_version":"1.0","source":{"id":"2104.14754","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.14754","created_at":"2026-07-05T02:51:40Z"},{"alias_kind":"arxiv_version","alias_value":"2104.14754v2","created_at":"2026-07-05T02:51:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.14754","created_at":"2026-07-05T02:51:40Z"},{"alias_kind":"pith_short_12","alias_value":"X2ODP2MEZ5JV","created_at":"2026-07-05T02:51:40Z"},{"alias_kind":"pith_short_16","alias_value":"X2ODP2MEZ5JVKC7T","created_at":"2026-07-05T02:51:40Z"},{"alias_kind":"pith_short_8","alias_value":"X2ODP2ME","created_at":"2026-07-05T02:51:40Z"}],"graph_snapshots":[{"event_id":"sha256:cd7dc501c503e0a8ade0e39212d9d67366dccf593c2feaba9d30b48409eeb247","target":"graph","created_at":"2026-07-05T02:51:40Z","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/2104.14754/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative adversarial networks (GANs) synthesize realistic images from random latent vectors. Although manipulating the latent vectors controls the synthesized outputs, editing real images with GANs suffers from i) time-consuming optimization for projecting real images to the latent vectors, ii) or inaccurate embedding through an encoder. We propose StyleMapGAN: the intermediate latent space has spatial dimensions, and a spatially variant modulation replaces AdaIN. It makes the embedding through an encoder more accurate than existing optimization-based methods while maintaining the properties","authors_text":"Hyunsu Kim, Junho Kim, Sungjoo Yoo, Youngjung Uh, Yunjey Choi","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-30T04:43:24Z","title":"Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.14754","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":"sha256:426f3099ff50ce923a5fb7affe9bdb150636b2226eb96ecd04a551631c4ae49a","target":"record","created_at":"2026-07-05T02:51:40Z","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":"e1ef0ae5d378266a4ec6aab32a366d85c24136cd0166619966c23efa2e43b31a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-30T04:43:24Z","title_canon_sha256":"2907d02748ffdba87072db2132786c2c37168ae46f2feda3f5603d4f04392169"},"schema_version":"1.0","source":{"id":"2104.14754","kind":"arxiv","version":2}},"canonical_sha256":"be9c37e984cf53550bf32a60f67f11b45e8f237ecaa3827e653b0581787a33fb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"be9c37e984cf53550bf32a60f67f11b45e8f237ecaa3827e653b0581787a33fb","first_computed_at":"2026-07-05T02:51:40.211119Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:51:40.211119Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7RD6CuhIXz2ArczF8wsIl/IF+V8H0EVE27WJoPm/6YXRrsch13dHH9GmI49E1NgnRkLJk6Wqm9V1Y9qpmkexBg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:51:40.211567Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.14754","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:426f3099ff50ce923a5fb7affe9bdb150636b2226eb96ecd04a551631c4ae49a","sha256:cd7dc501c503e0a8ade0e39212d9d67366dccf593c2feaba9d30b48409eeb247"],"state_sha256":"9e0a51a49b6d02b68c827c0006db2903438559a15688a748f601a121045566f8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dhuKdHssZMRwiZe5WjVTGvJP0ClZCf6bFMSB4t9NhqTScx9yUj1xTeg/pN6/UIfKSp15q2VrrNtsoc0W1jYdAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T20:24:17.018640Z","bundle_sha256":"d810ad1d9c26e268c27528b0124fc2c6ebaf4ba88ca2fa0b11f0f6706b9b1aef"}}