{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:C5DWNDBYEUGZASZPKA6SI4S64X","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":"66494ef8b1dfececf08caf954508bb8531ee2b1c54fd545ab65eb522a9940018","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-02T07:02:32Z","title_canon_sha256":"aec390d32436404e417631bd3738052a0bdf6306dac48851ae3353d79d6660da"},"schema_version":"1.0","source":{"id":"2310.00936","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.00936","created_at":"2026-07-05T06:56:12Z"},{"alias_kind":"arxiv_version","alias_value":"2310.00936v1","created_at":"2026-07-05T06:56:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.00936","created_at":"2026-07-05T06:56:12Z"},{"alias_kind":"pith_short_12","alias_value":"C5DWNDBYEUGZ","created_at":"2026-07-05T06:56:12Z"},{"alias_kind":"pith_short_16","alias_value":"C5DWNDBYEUGZASZP","created_at":"2026-07-05T06:56:12Z"},{"alias_kind":"pith_short_8","alias_value":"C5DWNDBY","created_at":"2026-07-05T06:56:12Z"}],"graph_snapshots":[{"event_id":"sha256:c5f6e8b109c95dbb2c3d568906474e3c9a5494c63e5cd85d766f0249354d427b","target":"graph","created_at":"2026-07-05T06:56:12Z","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/2310.00936/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent studies on StyleGAN variants show promising performances for various generation tasks. In these models, latent codes have traditionally been manipulated and searched for the desired images. However, this approach sometimes suffers from a lack of photorealism in generated images due to a lack of knowledge about the geometry of the trained latent space. In this paper, we show a simple unsupervised method that provides well-trained local latent subspace, enabling latent code navigation while preserving the photorealism of the generated images. Specifically, the method identifies densely ma","authors_text":"Hiroyuki Sakai, Kazuyuki Aihara, Takumi Harada","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-02T07:02:32Z","title":"Trained Latent Space Navigation to Prevent Lack of Photorealism in Generated Images on Style-based Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.00936","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:b16a33c789717a70cf96781d1ea6bd315a8bcc8b65c333600fd435c6c012cd47","target":"record","created_at":"2026-07-05T06:56:12Z","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":"66494ef8b1dfececf08caf954508bb8531ee2b1c54fd545ab65eb522a9940018","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-02T07:02:32Z","title_canon_sha256":"aec390d32436404e417631bd3738052a0bdf6306dac48851ae3353d79d6660da"},"schema_version":"1.0","source":{"id":"2310.00936","kind":"arxiv","version":1}},"canonical_sha256":"1747668c38250d904b2f503d24725ee5da4d56397a8172843e629fa5879c1f46","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1747668c38250d904b2f503d24725ee5da4d56397a8172843e629fa5879c1f46","first_computed_at":"2026-07-05T06:56:12.275041Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:56:12.275041Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n/c/ZENQChw2DQmW8RcHJy3yeZRo7yIs95Uccrt9tIzelnuGQLZnL6uX1Jcr6Cflu31u9W+XFsTL0Jz3gJtXAA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:56:12.275435Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.00936","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b16a33c789717a70cf96781d1ea6bd315a8bcc8b65c333600fd435c6c012cd47","sha256:c5f6e8b109c95dbb2c3d568906474e3c9a5494c63e5cd85d766f0249354d427b"],"state_sha256":"7cfd03e934f6a347b91883f6da09a74f7903d9bd67dac37a15a40629426bdec8"}