{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:J76XVN2WWC6RUHWQ7GRVAEJJET","short_pith_number":"pith:J76XVN2W","canonical_record":{"source":{"id":"2102.02766","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-02-04T17:52:38Z","cross_cats_sorted":[],"title_canon_sha256":"3bf1f88284858d3596d46cd5ab16ad2a1e6bd2eb92cde426e1cf51261abe9868","abstract_canon_sha256":"d4de695b4e765bc2ef8497ff86a506ccb41867bae4296d5d361fcdadf2e22dff"},"schema_version":"1.0"},"canonical_sha256":"4ffd7ab756b0bd1a1ed0f9a350112924ccf5c41d06b78ef66074df75c0c9b978","source":{"kind":"arxiv","id":"2102.02766","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.02766","created_at":"2026-07-05T02:12:51Z"},{"alias_kind":"arxiv_version","alias_value":"2102.02766v1","created_at":"2026-07-05T02:12:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.02766","created_at":"2026-07-05T02:12:51Z"},{"alias_kind":"pith_short_12","alias_value":"J76XVN2WWC6R","created_at":"2026-07-05T02:12:51Z"},{"alias_kind":"pith_short_16","alias_value":"J76XVN2WWC6RUHWQ","created_at":"2026-07-05T02:12:51Z"},{"alias_kind":"pith_short_8","alias_value":"J76XVN2W","created_at":"2026-07-05T02:12:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:J76XVN2WWC6RUHWQ7GRVAEJJET","target":"record","payload":{"canonical_record":{"source":{"id":"2102.02766","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-02-04T17:52:38Z","cross_cats_sorted":[],"title_canon_sha256":"3bf1f88284858d3596d46cd5ab16ad2a1e6bd2eb92cde426e1cf51261abe9868","abstract_canon_sha256":"d4de695b4e765bc2ef8497ff86a506ccb41867bae4296d5d361fcdadf2e22dff"},"schema_version":"1.0"},"canonical_sha256":"4ffd7ab756b0bd1a1ed0f9a350112924ccf5c41d06b78ef66074df75c0c9b978","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:12:51.344308Z","signature_b64":"AdQ+5qYFLW7greB8os2/N/KrAWQLyrHypuIqLd6HFBqQotV17w2lClxDJsrMYVY6Ba4f01sB8WjQOG/Z3moUAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4ffd7ab756b0bd1a1ed0f9a350112924ccf5c41d06b78ef66074df75c0c9b978","last_reissued_at":"2026-07-05T02:12:51.343936Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:12:51.343936Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2102.02766","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":"2026-07-05T02:12:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VbNuH4TeOFIDzeBY3FteteK+8RF1tqBCdmGprxFbdY/6N7cNZY+d5vtUDhcM3YwsCWVfyKPPU+QFCxio9JmaBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T07:52:12.710734Z"},"content_sha256":"1b0b622faf406dbec7cacbe866ce6cec0c490a978fb08c23e1c9ef6920d4f624","schema_version":"1.0","event_id":"sha256:1b0b622faf406dbec7cacbe866ce6cec0c490a978fb08c23e1c9ef6920d4f624"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:J76XVN2WWC6RUHWQ7GRVAEJJET","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Designing an Encoder for StyleGAN Image Manipulation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daniel Cohen-Or, Omer Tov, Or Patashnik, Yotam Nitzan, Yuval Alaluf","submitted_at":"2021-02-04T17:52:38Z","abstract_excerpt":"Recently, there has been a surge of diverse methods for performing image editing by employing pre-trained unconditional generators. Applying these methods on real images, however, remains a challenge, as it necessarily requires the inversion of the images into their latent space. To successfully invert a real image, one needs to find a latent code that reconstructs the input image accurately, and more importantly, allows for its meaningful manipulation. In this paper, we carefully study the latent space of StyleGAN, the state-of-the-art unconditional generator. We identify and analyze the exis"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.02766","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/2102.02766/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":"2026-07-05T02:12:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nF2vYjcmF5b9IwGss2anaJxv81rwSs1pat7y3XmUREq6VPUbVpNBoTJ38/C6BCVtTGl+CvFRaO/gRfW1QGHSAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T07:52:12.711230Z"},"content_sha256":"0c733f741c188bd9d554a2f18d128b34b9376341699998e67f33de2d15e351d7","schema_version":"1.0","event_id":"sha256:0c733f741c188bd9d554a2f18d128b34b9376341699998e67f33de2d15e351d7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J76XVN2WWC6RUHWQ7GRVAEJJET/bundle.json","state_url":"https://pith.science/pith/J76XVN2WWC6RUHWQ7GRVAEJJET/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J76XVN2WWC6RUHWQ7GRVAEJJET/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":"2026-08-06T07:52:12Z","links":{"resolver":"https://pith.science/pith/J76XVN2WWC6RUHWQ7GRVAEJJET","bundle":"https://pith.science/pith/J76XVN2WWC6RUHWQ7GRVAEJJET/bundle.json","state":"https://pith.science/pith/J76XVN2WWC6RUHWQ7GRVAEJJET/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J76XVN2WWC6RUHWQ7GRVAEJJET/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:J76XVN2WWC6RUHWQ7GRVAEJJET","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":"d4de695b4e765bc2ef8497ff86a506ccb41867bae4296d5d361fcdadf2e22dff","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-02-04T17:52:38Z","title_canon_sha256":"3bf1f88284858d3596d46cd5ab16ad2a1e6bd2eb92cde426e1cf51261abe9868"},"schema_version":"1.0","source":{"id":"2102.02766","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.02766","created_at":"2026-07-05T02:12:51Z"},{"alias_kind":"arxiv_version","alias_value":"2102.02766v1","created_at":"2026-07-05T02:12:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.02766","created_at":"2026-07-05T02:12:51Z"},{"alias_kind":"pith_short_12","alias_value":"J76XVN2WWC6R","created_at":"2026-07-05T02:12:51Z"},{"alias_kind":"pith_short_16","alias_value":"J76XVN2WWC6RUHWQ","created_at":"2026-07-05T02:12:51Z"},{"alias_kind":"pith_short_8","alias_value":"J76XVN2W","created_at":"2026-07-05T02:12:51Z"}],"graph_snapshots":[{"event_id":"sha256:0c733f741c188bd9d554a2f18d128b34b9376341699998e67f33de2d15e351d7","target":"graph","created_at":"2026-07-05T02:12:51Z","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/2102.02766/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, there has been a surge of diverse methods for performing image editing by employing pre-trained unconditional generators. Applying these methods on real images, however, remains a challenge, as it necessarily requires the inversion of the images into their latent space. To successfully invert a real image, one needs to find a latent code that reconstructs the input image accurately, and more importantly, allows for its meaningful manipulation. In this paper, we carefully study the latent space of StyleGAN, the state-of-the-art unconditional generator. We identify and analyze the exis","authors_text":"Daniel Cohen-Or, Omer Tov, Or Patashnik, Yotam Nitzan, Yuval Alaluf","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-02-04T17:52:38Z","title":"Designing an Encoder for StyleGAN Image Manipulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.02766","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":"sha256:1b0b622faf406dbec7cacbe866ce6cec0c490a978fb08c23e1c9ef6920d4f624","target":"record","created_at":"2026-07-05T02:12:51Z","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":"d4de695b4e765bc2ef8497ff86a506ccb41867bae4296d5d361fcdadf2e22dff","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-02-04T17:52:38Z","title_canon_sha256":"3bf1f88284858d3596d46cd5ab16ad2a1e6bd2eb92cde426e1cf51261abe9868"},"schema_version":"1.0","source":{"id":"2102.02766","kind":"arxiv","version":1}},"canonical_sha256":"4ffd7ab756b0bd1a1ed0f9a350112924ccf5c41d06b78ef66074df75c0c9b978","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4ffd7ab756b0bd1a1ed0f9a350112924ccf5c41d06b78ef66074df75c0c9b978","first_computed_at":"2026-07-05T02:12:51.343936Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:12:51.343936Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AdQ+5qYFLW7greB8os2/N/KrAWQLyrHypuIqLd6HFBqQotV17w2lClxDJsrMYVY6Ba4f01sB8WjQOG/Z3moUAw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:12:51.344308Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.02766","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1b0b622faf406dbec7cacbe866ce6cec0c490a978fb08c23e1c9ef6920d4f624","sha256:0c733f741c188bd9d554a2f18d128b34b9376341699998e67f33de2d15e351d7"],"state_sha256":"a936775b0980862966b00cc25d2eba0837c20e30b429814fed00070cc10ac200"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U3JecLxie2740mY6TgQ3lOtZwclVCicKK1HAAGYvfCWuAGiHkyAQPIXdFnJsCPIrYAk5tKrkPaWjsDL24+WlDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T07:52:12.714950Z","bundle_sha256":"147ada1ed2c41684745a41695580c139327289132ba73266be392483959a2958"}}