{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:USYT3MESQG2MIGQPYEWJWUJSFB","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":"8318cd49fd77c678ff0aa548623adee836a328c6a673e298eae87b002402af7e","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-02T19:56:43Z","title_canon_sha256":"63b1e649d4cce7f0e053e2843c46255e996cbea7824c5c5150b296129a4ab618"},"schema_version":"1.0","source":{"id":"2307.00648","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.00648","created_at":"2026-07-05T06:26:58Z"},{"alias_kind":"arxiv_version","alias_value":"2307.00648v1","created_at":"2026-07-05T06:26:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.00648","created_at":"2026-07-05T06:26:58Z"},{"alias_kind":"pith_short_12","alias_value":"USYT3MESQG2M","created_at":"2026-07-05T06:26:58Z"},{"alias_kind":"pith_short_16","alias_value":"USYT3MESQG2MIGQP","created_at":"2026-07-05T06:26:58Z"},{"alias_kind":"pith_short_8","alias_value":"USYT3MES","created_at":"2026-07-05T06:26:58Z"}],"graph_snapshots":[{"event_id":"sha256:a204a88196fb53dffcbb9948f14d7d9842796bcb1bec2532e0920e01ae7edef2","target":"graph","created_at":"2026-07-05T06:26:58Z","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/2307.00648/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The generalization with respect to domain shifts, as they frequently appear in applications such as autonomous driving, is one of the remaining big challenges for deep learning models. Therefore, we propose an exemplar-based style synthesis pipeline to improve domain generalization in semantic segmentation. Our method is based on a novel masked noise encoder for StyleGAN2 inversion. The model learns to faithfully reconstruct the image, preserving its semantic layout through noise prediction. Using the proposed masked noise encoder to randomize style and content combinations in the training set","authors_text":"Anna Khoreva, Dan Zhang, Margret Keuper, Yumeng Li","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-02T19:56:43Z","title":"Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.00648","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":"sha256:13b8a57b0df8abaebe5d885b63c87a030e88b65406565c13c7a4294f720ea1ad","target":"record","created_at":"2026-07-05T06:26:58Z","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":"8318cd49fd77c678ff0aa548623adee836a328c6a673e298eae87b002402af7e","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-02T19:56:43Z","title_canon_sha256":"63b1e649d4cce7f0e053e2843c46255e996cbea7824c5c5150b296129a4ab618"},"schema_version":"1.0","source":{"id":"2307.00648","kind":"arxiv","version":1}},"canonical_sha256":"a4b13db09281b4c41a0fc12c9b5132284f1acb7a7b3d12a73dd5bb4ae830fa32","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a4b13db09281b4c41a0fc12c9b5132284f1acb7a7b3d12a73dd5bb4ae830fa32","first_computed_at":"2026-07-05T06:26:58.435355Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:26:58.435355Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pT9NiuDUBd2OBO8p3f/DNM4vqC4P8ihFHPvkzcpZlmjyTozFffqlnGiQrk1gOmi9PDzQ7tcztnGpeuuB0O9CAA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:26:58.435768Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.00648","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:13b8a57b0df8abaebe5d885b63c87a030e88b65406565c13c7a4294f720ea1ad","sha256:a204a88196fb53dffcbb9948f14d7d9842796bcb1bec2532e0920e01ae7edef2"],"state_sha256":"26c1032306f175748f90b2e1290ddc4274f43176cfd5f24ec4913f4b5af06488"}