{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:IBSI2RFQ7UBA4IC7GLBVK6ZQAV","short_pith_number":"pith:IBSI2RFQ","canonical_record":{"source":{"id":"1912.12184","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-21T08:32:27Z","cross_cats_sorted":[],"title_canon_sha256":"571380b266fd37abb6b950df3496384e9622e7b9d5e78d199051918cdd5fcc46","abstract_canon_sha256":"76eccdd206ea26e54a683d15893511cfd25be8ccfa981be1f2be89e67b7f551b"},"schema_version":"1.0"},"canonical_sha256":"40648d44b0fd020e205f32c3557b300572b794287f9f3c984cfde8052d47442b","source":{"kind":"arxiv","id":"1912.12184","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.12184","created_at":"2026-07-05T00:28:41Z"},{"alias_kind":"arxiv_version","alias_value":"1912.12184v1","created_at":"2026-07-05T00:28:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.12184","created_at":"2026-07-05T00:28:41Z"},{"alias_kind":"pith_short_12","alias_value":"IBSI2RFQ7UBA","created_at":"2026-07-05T00:28:41Z"},{"alias_kind":"pith_short_16","alias_value":"IBSI2RFQ7UBA4IC7","created_at":"2026-07-05T00:28:41Z"},{"alias_kind":"pith_short_8","alias_value":"IBSI2RFQ","created_at":"2026-07-05T00:28:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:IBSI2RFQ7UBA4IC7GLBVK6ZQAV","target":"record","payload":{"canonical_record":{"source":{"id":"1912.12184","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-21T08:32:27Z","cross_cats_sorted":[],"title_canon_sha256":"571380b266fd37abb6b950df3496384e9622e7b9d5e78d199051918cdd5fcc46","abstract_canon_sha256":"76eccdd206ea26e54a683d15893511cfd25be8ccfa981be1f2be89e67b7f551b"},"schema_version":"1.0"},"canonical_sha256":"40648d44b0fd020e205f32c3557b300572b794287f9f3c984cfde8052d47442b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:28:41.237412Z","signature_b64":"vFvJLfCaIpUPSCaJUL5AoKocFmAn9JFxLee4cwThZ34Kj+ABLSVS9gO2tFd1Pbt9Eaa+8dVqCB9lhk2iZy1QCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"40648d44b0fd020e205f32c3557b300572b794287f9f3c984cfde8052d47442b","last_reissued_at":"2026-07-05T00:28:41.236958Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:28:41.236958Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1912.12184","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:28:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"epUZiDV8wApFdMOa/14hcrNJ4hKYaGOzh8TTafYJPjSINBl4sIa0UV8wRBBvpPdNIaRHxeQmPrdTwqij9wrSBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T12:26:24.886837Z"},"content_sha256":"180c8379dc86e7daf5c3c2c5fff05cb065a5baa2fef0bf69252bf555df72350a","schema_version":"1.0","event_id":"sha256:180c8379dc86e7daf5c3c2c5fff05cb065a5baa2fef0bf69252bf555df72350a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:IBSI2RFQ7UBA4IC7GLBVK6ZQAV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Detecting Deepfake-Forged Contents with Separable Convolutional Neural Network and Image Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chia-Mu Yu, Ching-Tang Chang, Yen-Wu Ti","submitted_at":"2019-12-21T08:32:27Z","abstract_excerpt":"Recent advances in AI technology have made the forgery of digital images and videos easier, and it has become significantly more difficult to identify such forgeries. These forgeries, if disseminated with malicious intent, can negatively impact social and political stability, and pose significant ethical and legal challenges as well. Deepfake is a variant of auto-encoders that use deep learning techniques to identify and exchange images of a person's face in a picture or film. Deepfake can result in an erosion of public trust in digital images and videos, which has far-reaching effects on poli"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.12184","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/1912.12184/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:28:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Yfsz4iSgBJlvljasbIiklzz7SviU/pHhXDpoJPAY5HAsTX7fhAKXwcYyxwAHUruz7NEpYVfxwewJDKtyQ9f9Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T12:26:24.887401Z"},"content_sha256":"ac3929c91b38589390000dd7c98348af3178379b082d532fdbc940386c09ef8e","schema_version":"1.0","event_id":"sha256:ac3929c91b38589390000dd7c98348af3178379b082d532fdbc940386c09ef8e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IBSI2RFQ7UBA4IC7GLBVK6ZQAV/bundle.json","state_url":"https://pith.science/pith/IBSI2RFQ7UBA4IC7GLBVK6ZQAV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IBSI2RFQ7UBA4IC7GLBVK6ZQAV/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-06T12:26:24Z","links":{"resolver":"https://pith.science/pith/IBSI2RFQ7UBA4IC7GLBVK6ZQAV","bundle":"https://pith.science/pith/IBSI2RFQ7UBA4IC7GLBVK6ZQAV/bundle.json","state":"https://pith.science/pith/IBSI2RFQ7UBA4IC7GLBVK6ZQAV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IBSI2RFQ7UBA4IC7GLBVK6ZQAV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:IBSI2RFQ7UBA4IC7GLBVK6ZQAV","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":"76eccdd206ea26e54a683d15893511cfd25be8ccfa981be1f2be89e67b7f551b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-21T08:32:27Z","title_canon_sha256":"571380b266fd37abb6b950df3496384e9622e7b9d5e78d199051918cdd5fcc46"},"schema_version":"1.0","source":{"id":"1912.12184","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.12184","created_at":"2026-07-05T00:28:41Z"},{"alias_kind":"arxiv_version","alias_value":"1912.12184v1","created_at":"2026-07-05T00:28:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.12184","created_at":"2026-07-05T00:28:41Z"},{"alias_kind":"pith_short_12","alias_value":"IBSI2RFQ7UBA","created_at":"2026-07-05T00:28:41Z"},{"alias_kind":"pith_short_16","alias_value":"IBSI2RFQ7UBA4IC7","created_at":"2026-07-05T00:28:41Z"},{"alias_kind":"pith_short_8","alias_value":"IBSI2RFQ","created_at":"2026-07-05T00:28:41Z"}],"graph_snapshots":[{"event_id":"sha256:ac3929c91b38589390000dd7c98348af3178379b082d532fdbc940386c09ef8e","target":"graph","created_at":"2026-07-05T00:28:41Z","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/1912.12184/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in AI technology have made the forgery of digital images and videos easier, and it has become significantly more difficult to identify such forgeries. These forgeries, if disseminated with malicious intent, can negatively impact social and political stability, and pose significant ethical and legal challenges as well. Deepfake is a variant of auto-encoders that use deep learning techniques to identify and exchange images of a person's face in a picture or film. Deepfake can result in an erosion of public trust in digital images and videos, which has far-reaching effects on poli","authors_text":"Chia-Mu Yu, Ching-Tang Chang, Yen-Wu Ti","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-21T08:32:27Z","title":"Detecting Deepfake-Forged Contents with Separable Convolutional Neural Network and Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.12184","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":"sha256:180c8379dc86e7daf5c3c2c5fff05cb065a5baa2fef0bf69252bf555df72350a","target":"record","created_at":"2026-07-05T00:28:41Z","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":"76eccdd206ea26e54a683d15893511cfd25be8ccfa981be1f2be89e67b7f551b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-21T08:32:27Z","title_canon_sha256":"571380b266fd37abb6b950df3496384e9622e7b9d5e78d199051918cdd5fcc46"},"schema_version":"1.0","source":{"id":"1912.12184","kind":"arxiv","version":1}},"canonical_sha256":"40648d44b0fd020e205f32c3557b300572b794287f9f3c984cfde8052d47442b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"40648d44b0fd020e205f32c3557b300572b794287f9f3c984cfde8052d47442b","first_computed_at":"2026-07-05T00:28:41.236958Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:28:41.236958Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vFvJLfCaIpUPSCaJUL5AoKocFmAn9JFxLee4cwThZ34Kj+ABLSVS9gO2tFd1Pbt9Eaa+8dVqCB9lhk2iZy1QCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:28:41.237412Z","signed_message":"canonical_sha256_bytes"},"source_id":"1912.12184","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:180c8379dc86e7daf5c3c2c5fff05cb065a5baa2fef0bf69252bf555df72350a","sha256:ac3929c91b38589390000dd7c98348af3178379b082d532fdbc940386c09ef8e"],"state_sha256":"592d39e7c4354f123dd2f2b1cf1810742461fde473d387354a0850de8205cae8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9DNmsHVKwzNkOrZ+Le2VjdZnUrZZEqZrplUsbCQFfrB50BDpD7pRcCGXCYayps5XTE7JKgb3JzHy92k1gemoBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T12:26:24.892030Z","bundle_sha256":"c15654f5b175f4095a81cde61ed8aa664abac050c4a1ecce4eb69f43214aa351"}}