{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:IRON4VJS565MGDQ3L74SYC654V","short_pith_number":"pith:IRON4VJS","schema_version":"1.0","canonical_sha256":"445cde5532efbac30e1b5ff92c0bdde57834bc403275af5a17a61a42eac6b531","source":{"kind":"arxiv","id":"1804.02680","version":1},"attestation_state":"computed","paper":{"title":"Semi-fragile Tamper Detection and Recovery based on Region Categorization and Two-Sided Circular Block Dependency","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Seyyed Hossein Soleymani","submitted_at":"2018-04-08T12:18:14Z","abstract_excerpt":"This paper presents a new semi-fragile algorithm for image tamper detection and recovery, which is based on region attention and two-sided circular block dependency. This method categorizes the image blocks into three categories according to their texture. In this method, less information is extracted from areas with the smooth texture, and more information is extracted from areas with the rough texture. Also, the extracted information for each type of blocks is embedded in another block with the same type. So, changes in the smooth areas are invisible to Human Visual System. To increase the l"},"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":"1804.02680","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2018-04-08T12:18:14Z","cross_cats_sorted":[],"title_canon_sha256":"357aa17780f57c8649ccf1e9107109235ba0d27b1dc42606f6405339cc482daf","abstract_canon_sha256":"ce85673c96ca8ddd06dcef0e4d0a0a3814eadcd629a887c8f7806a0e1e3b2260"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:18:58.700443Z","signature_b64":"OlbpjlepSPfXb0rdd13+VMd0GstzCZ5ZSfUvQVtxK+a4cs7bwyfbrS8s7wzyj945LollCSq2wD0t7U+WQbh2Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"445cde5532efbac30e1b5ff92c0bdde57834bc403275af5a17a61a42eac6b531","last_reissued_at":"2026-05-18T00:18:58.699003Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:18:58.699003Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Semi-fragile Tamper Detection and Recovery based on Region Categorization and Two-Sided Circular Block Dependency","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Seyyed Hossein Soleymani","submitted_at":"2018-04-08T12:18:14Z","abstract_excerpt":"This paper presents a new semi-fragile algorithm for image tamper detection and recovery, which is based on region attention and two-sided circular block dependency. This method categorizes the image blocks into three categories according to their texture. In this method, less information is extracted from areas with the smooth texture, and more information is extracted from areas with the rough texture. Also, the extracted information for each type of blocks is embedded in another block with the same type. So, changes in the smooth areas are invisible to Human Visual System. To increase the l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.02680","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":""},"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":"1804.02680","created_at":"2026-05-18T00:18:58.699973+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.02680v1","created_at":"2026-05-18T00:18:58.699973+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.02680","created_at":"2026-05-18T00:18:58.699973+00:00"},{"alias_kind":"pith_short_12","alias_value":"IRON4VJS565M","created_at":"2026-05-18T12:32:31.084164+00:00"},{"alias_kind":"pith_short_16","alias_value":"IRON4VJS565MGDQ3","created_at":"2026-05-18T12:32:31.084164+00:00"},{"alias_kind":"pith_short_8","alias_value":"IRON4VJS","created_at":"2026-05-18T12:32:31.084164+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/IRON4VJS565MGDQ3L74SYC654V","json":"https://pith.science/pith/IRON4VJS565MGDQ3L74SYC654V.json","graph_json":"https://pith.science/api/pith-number/IRON4VJS565MGDQ3L74SYC654V/graph.json","events_json":"https://pith.science/api/pith-number/IRON4VJS565MGDQ3L74SYC654V/events.json","paper":"https://pith.science/paper/IRON4VJS"},"agent_actions":{"view_html":"https://pith.science/pith/IRON4VJS565MGDQ3L74SYC654V","download_json":"https://pith.science/pith/IRON4VJS565MGDQ3L74SYC654V.json","view_paper":"https://pith.science/paper/IRON4VJS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.02680&json=true","fetch_graph":"https://pith.science/api/pith-number/IRON4VJS565MGDQ3L74SYC654V/graph.json","fetch_events":"https://pith.science/api/pith-number/IRON4VJS565MGDQ3L74SYC654V/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IRON4VJS565MGDQ3L74SYC654V/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IRON4VJS565MGDQ3L74SYC654V/action/storage_attestation","attest_author":"https://pith.science/pith/IRON4VJS565MGDQ3L74SYC654V/action/author_attestation","sign_citation":"https://pith.science/pith/IRON4VJS565MGDQ3L74SYC654V/action/citation_signature","submit_replication":"https://pith.science/pith/IRON4VJS565MGDQ3L74SYC654V/action/replication_record"}},"created_at":"2026-05-18T00:18:58.699973+00:00","updated_at":"2026-05-18T00:18:58.699973+00:00"}