{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:2PHSMYX4AUDR4TNJBPJUNXXMDH","short_pith_number":"pith:2PHSMYX4","schema_version":"1.0","canonical_sha256":"d3cf2662fc05071e4da90bd346deec19c07e99603ab565873ec3ae46ebba3d90","source":{"kind":"arxiv","id":"2406.13565","version":1},"attestation_state":"computed","paper":{"title":"Exploring Multi-view Pixel Contrast for General and Robust Image Forgery Localization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.CV","authors_text":"Gang Cao, Haochen Zhu, Kun Guo, Lifang Yu, Zijie Lou","submitted_at":"2024-06-19T13:51:52Z","abstract_excerpt":"Image forgery localization, which aims to segment tampered regions in an image, is a fundamental yet challenging digital forensic task. While some deep learning-based forensic methods have achieved impressive results, they directly learn pixel-to-label mappings without fully exploiting the relationship between pixels in the feature space. To address such deficiency, we propose a Multi-view Pixel-wise Contrastive algorithm (MPC) for image forgery localization. Specifically, we first pre-train the backbone network with the supervised contrastive loss to model pixel relationships from the perspec"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2406.13565","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-19T13:51:52Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"e3c14302b186ef3f8d0bb909a03adc6a56974416c581dac1d2c873ee297ae583","abstract_canon_sha256":"296ca002b659194cfc90083ea9787cf770d2beb2baacaa255ff20bddd226f389"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:34:31.772794Z","signature_b64":"YdbOPuUDk1S0SkYYuY/g6MzTyc08WSZc4Ypmjrnj6p5eHWHhpUaG6XkP6l4VVmD0bjXCUx4dwi5WxBqQeTLRDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d3cf2662fc05071e4da90bd346deec19c07e99603ab565873ec3ae46ebba3d90","last_reissued_at":"2026-07-05T08:34:31.772381Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:34:31.772381Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Exploring Multi-view Pixel Contrast for General and Robust Image Forgery Localization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.CV","authors_text":"Gang Cao, Haochen Zhu, Kun Guo, Lifang Yu, Zijie Lou","submitted_at":"2024-06-19T13:51:52Z","abstract_excerpt":"Image forgery localization, which aims to segment tampered regions in an image, is a fundamental yet challenging digital forensic task. While some deep learning-based forensic methods have achieved impressive results, they directly learn pixel-to-label mappings without fully exploiting the relationship between pixels in the feature space. To address such deficiency, we propose a Multi-view Pixel-wise Contrastive algorithm (MPC) for image forgery localization. Specifically, we first pre-train the backbone network with the supervised contrastive loss to model pixel relationships from the perspec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.13565","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/2406.13565/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2406.13565","created_at":"2026-07-05T08:34:31.772440+00:00"},{"alias_kind":"arxiv_version","alias_value":"2406.13565v1","created_at":"2026-07-05T08:34:31.772440+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.13565","created_at":"2026-07-05T08:34:31.772440+00:00"},{"alias_kind":"pith_short_12","alias_value":"2PHSMYX4AUDR","created_at":"2026-07-05T08:34:31.772440+00:00"},{"alias_kind":"pith_short_16","alias_value":"2PHSMYX4AUDR4TNJ","created_at":"2026-07-05T08:34:31.772440+00:00"},{"alias_kind":"pith_short_8","alias_value":"2PHSMYX4","created_at":"2026-07-05T08:34:31.772440+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2PHSMYX4AUDR4TNJBPJUNXXMDH","json":"https://pith.science/pith/2PHSMYX4AUDR4TNJBPJUNXXMDH.json","graph_json":"https://pith.science/api/pith-number/2PHSMYX4AUDR4TNJBPJUNXXMDH/graph.json","events_json":"https://pith.science/api/pith-number/2PHSMYX4AUDR4TNJBPJUNXXMDH/events.json","paper":"https://pith.science/paper/2PHSMYX4"},"agent_actions":{"view_html":"https://pith.science/pith/2PHSMYX4AUDR4TNJBPJUNXXMDH","download_json":"https://pith.science/pith/2PHSMYX4AUDR4TNJBPJUNXXMDH.json","view_paper":"https://pith.science/paper/2PHSMYX4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2406.13565&json=true","fetch_graph":"https://pith.science/api/pith-number/2PHSMYX4AUDR4TNJBPJUNXXMDH/graph.json","fetch_events":"https://pith.science/api/pith-number/2PHSMYX4AUDR4TNJBPJUNXXMDH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2PHSMYX4AUDR4TNJBPJUNXXMDH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2PHSMYX4AUDR4TNJBPJUNXXMDH/action/storage_attestation","attest_author":"https://pith.science/pith/2PHSMYX4AUDR4TNJBPJUNXXMDH/action/author_attestation","sign_citation":"https://pith.science/pith/2PHSMYX4AUDR4TNJBPJUNXXMDH/action/citation_signature","submit_replication":"https://pith.science/pith/2PHSMYX4AUDR4TNJBPJUNXXMDH/action/replication_record"}},"created_at":"2026-07-05T08:34:31.772440+00:00","updated_at":"2026-07-05T08:34:31.772440+00:00"}