{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:32GN5CJRCCZFCMJAEHHXAXD3XJ","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":"69946e02f221a56ce0338723b5576fbd5e8d0452444c86a8da6eb199322d9909","cross_cats_sorted":["cs.LG","cs.MM","cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-07-23T16:13:53Z","title_canon_sha256":"7f2023f7a20f29a95c40d9bfb91fb8c473eef8b1d922eb612541260d08b630fb"},"schema_version":"1.0","source":{"id":"1907.12914","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.12914","created_at":"2026-07-05T01:43:54Z"},{"alias_kind":"arxiv_version","alias_value":"1907.12914v3","created_at":"2026-07-05T01:43:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.12914","created_at":"2026-07-05T01:43:54Z"},{"alias_kind":"pith_short_12","alias_value":"32GN5CJRCCZF","created_at":"2026-07-05T01:43:54Z"},{"alias_kind":"pith_short_16","alias_value":"32GN5CJRCCZFCMJA","created_at":"2026-07-05T01:43:54Z"},{"alias_kind":"pith_short_8","alias_value":"32GN5CJR","created_at":"2026-07-05T01:43:54Z"}],"graph_snapshots":[{"event_id":"sha256:935d52dcf64bdb62a6e3ccb51c7e0c3ad8c4ba2c060eae2e2e2355ad12bb506b","target":"graph","created_at":"2026-07-05T01:43:54Z","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/1907.12914/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Steganography algorithms facilitate communication between a source and a destination in a secret manner. This is done by embedding messages/text/data into images without impacting the appearance of the resultant images/videos. Steganalysis is the science of determining if an image has secret messages embedded/hidden in it. Because there are numerous steganography algorithms, and since each one of them requires a different type of steganalysis, the steganalysis process is extremely challenging. Thus, researchers aim to develop one universal steganalysis to detect all known and unknown steganogr","authors_text":"Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, Hamid R. Arabnia, M. Hadi Amini","cross_cats":["cs.LG","cs.MM","cs.NE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-07-23T16:13:53Z","title":"Evolutionary Algorithms and Efficient Data Analytics for Image Processing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.12914","kind":"arxiv","version":3},"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:bb197647afd6ad79e58e73cbf13ad1a50ab0f0b730adcd762f511ce54049d01d","target":"record","created_at":"2026-07-05T01:43:54Z","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":"69946e02f221a56ce0338723b5576fbd5e8d0452444c86a8da6eb199322d9909","cross_cats_sorted":["cs.LG","cs.MM","cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-07-23T16:13:53Z","title_canon_sha256":"7f2023f7a20f29a95c40d9bfb91fb8c473eef8b1d922eb612541260d08b630fb"},"schema_version":"1.0","source":{"id":"1907.12914","kind":"arxiv","version":3}},"canonical_sha256":"de8cde893110b251312021cf705c7bba643143ef6bc9de47455f5d4e936a1321","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"de8cde893110b251312021cf705c7bba643143ef6bc9de47455f5d4e936a1321","first_computed_at":"2026-07-05T01:43:54.761530Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:43:54.761530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BDp97FgCXJyUwoOcUqhQfiwSlDWFM8mzi61bvp+F5srEF801gAqaZfx+GxSNo0yUF9mzw0TtPs454HJ0iS4ODg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:43:54.762025Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.12914","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb197647afd6ad79e58e73cbf13ad1a50ab0f0b730adcd762f511ce54049d01d","sha256:935d52dcf64bdb62a6e3ccb51c7e0c3ad8c4ba2c060eae2e2e2355ad12bb506b"],"state_sha256":"bffd62227b9c374f61c3611c45deb144c862c999a824af4d6cc7372a7c202652"}