{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:4L7DZ65KPEA5SV7XUAXNVYOKHO","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":"12b570b580f3d0c1014d2f16fb1921766aa94a85a62241a03f8583e5dd954611","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-06T22:23:05Z","title_canon_sha256":"3425bb14bff77709ccea90e8cf8aa48730a4aef4bf843c4a8a155d1602a31816"},"schema_version":"1.0","source":{"id":"1709.02016","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.02016","created_at":"2026-05-18T00:22:44Z"},{"alias_kind":"arxiv_version","alias_value":"1709.02016v1","created_at":"2026-05-18T00:22:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.02016","created_at":"2026-05-18T00:22:44Z"},{"alias_kind":"pith_short_12","alias_value":"4L7DZ65KPEA5","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4L7DZ65KPEA5SV7X","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4L7DZ65K","created_at":"2026-05-18T12:31:00Z"}],"graph_snapshots":[{"event_id":"sha256:efd5092c9e92e9781a63fb91f101bbb534d4f110364329bb5e107f123a714020","target":"graph","created_at":"2026-05-18T00:22:44Z","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"},"paper":{"abstract_excerpt":"In this work, we propose a technique that utilizes a fully convolutional network (FCN) to localize image splicing attacks. We first evaluated a single-task FCN (SFCN) trained only on the surface label. Although the SFCN is shown to provide superior performance over existing methods, it still provides a coarse localization output in certain cases. Therefore, we propose the use of a multi-task FCN (MFCN) that utilizes two output branches for multi-task learning. One branch is used to learn the surface label, while the other branch is used to learn the edge or boundary of the spliced region. We t","authors_text":"C.-C. Jay Kuo, Ronald Salloum, Yuzhuo Ren","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-06T22:23:05Z","title":"Image Splicing Localization Using A Multi-Task Fully Convolutional Network (MFCN)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.02016","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":"sha256:2da1e8f457b5f7c7c32fb76305dea21515e592c38da482e32206a31391ce913d","target":"record","created_at":"2026-05-18T00:22:44Z","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":"12b570b580f3d0c1014d2f16fb1921766aa94a85a62241a03f8583e5dd954611","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-06T22:23:05Z","title_canon_sha256":"3425bb14bff77709ccea90e8cf8aa48730a4aef4bf843c4a8a155d1602a31816"},"schema_version":"1.0","source":{"id":"1709.02016","kind":"arxiv","version":1}},"canonical_sha256":"e2fe3cfbaa7901d957f7a02edae1ca3bb7b4cbb7dad929797885dfbecfeeed73","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e2fe3cfbaa7901d957f7a02edae1ca3bb7b4cbb7dad929797885dfbecfeeed73","first_computed_at":"2026-05-18T00:22:44.551798Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:22:44.551798Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lIg9jaWotVfKIV1iNZH87zmPK29G9FPpwkmUr1lqhgRh7Tzm8TOA0bF7pwyudNZy6P2sFK/s4uSbifCvanL3Aw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:22:44.552192Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.02016","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2da1e8f457b5f7c7c32fb76305dea21515e592c38da482e32206a31391ce913d","sha256:efd5092c9e92e9781a63fb91f101bbb534d4f110364329bb5e107f123a714020"],"state_sha256":"0ba53fe73de8cc66ec48e50464343e16c910371acd61f6ce92e6258d06884f54"}