{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2BLCFLD3DJLPEGMRTGWRHUNRCX","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":"d3d0144cfc85ad199f3ac95d5a8c055203570af5a603f99cb9a8c75c031c527f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-09T13:55:32Z","title_canon_sha256":"8cd20871f6a5edc44491ee563d0a8eefad52c4852d2616744ae48803e1a2d9fa"},"schema_version":"1.0","source":{"id":"2504.06895","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.06895","created_at":"2026-07-05T10:46:48Z"},{"alias_kind":"arxiv_version","alias_value":"2504.06895v1","created_at":"2026-07-05T10:46:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.06895","created_at":"2026-07-05T10:46:48Z"},{"alias_kind":"pith_short_12","alias_value":"2BLCFLD3DJLP","created_at":"2026-07-05T10:46:48Z"},{"alias_kind":"pith_short_16","alias_value":"2BLCFLD3DJLPEGMR","created_at":"2026-07-05T10:46:48Z"},{"alias_kind":"pith_short_8","alias_value":"2BLCFLD3","created_at":"2026-07-05T10:46:48Z"}],"graph_snapshots":[{"event_id":"sha256:b3390c5cfff59998620ef937ffaf2d3cb07a3390eac4a6270119bdd6a9b875b3","target":"graph","created_at":"2026-07-05T10:46:48Z","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/2504.06895/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reference-based sketch colorization methods have garnered significant attention due to their potential applications in the animation production industry. However, most existing methods are trained with image triplets of sketch, reference, and ground truth that are semantically and spatially well-aligned, while real-world references and sketches often exhibit substantial misalignment. This mismatch in data distribution between training and inference leads to overfitting, consequently resulting in spatial artifacts and significant degradation in overall colorization quality, limiting potential a","authors_text":"Dingkun Yan, Jiaxian Guo, Suguru Saito, Xinrui Wang, Yusuke Iwasawa, Yutaka Matsuo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-09T13:55:32Z","title":"ColorizeDiffusion v2: Enhancing Reference-based Sketch Colorization Through Separating Utilities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.06895","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":"sha256:8d57824c56a4f21ae977faf4542f544b3d46702590072d035c905bc85b3529a7","target":"record","created_at":"2026-07-05T10:46:48Z","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":"d3d0144cfc85ad199f3ac95d5a8c055203570af5a603f99cb9a8c75c031c527f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-09T13:55:32Z","title_canon_sha256":"8cd20871f6a5edc44491ee563d0a8eefad52c4852d2616744ae48803e1a2d9fa"},"schema_version":"1.0","source":{"id":"2504.06895","kind":"arxiv","version":1}},"canonical_sha256":"d05622ac7b1a56f2199199ad13d1b115c35d47fda35afe22b42bd0c7cb5c65ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d05622ac7b1a56f2199199ad13d1b115c35d47fda35afe22b42bd0c7cb5c65ff","first_computed_at":"2026-07-05T10:46:48.096365Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:46:48.096365Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mKMjDxGj5uAwBURPz/cadOITW8nQm4y3Vb+6MBsZwerK4tjTlvcYTDTqs92+VzbdeUr0uCO6djsA8px7BUyRDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:46:48.096770Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.06895","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8d57824c56a4f21ae977faf4542f544b3d46702590072d035c905bc85b3529a7","sha256:b3390c5cfff59998620ef937ffaf2d3cb07a3390eac4a6270119bdd6a9b875b3"],"state_sha256":"916d745c6f80928d663394fafb9f6cefc1b83953692315686d08010c471a3e63"}