{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:HJ22MIYYHCD4QO7VG3IYPKIGNX","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":"2f51e8bfb2a258a6094471b83c58261953430ddad9d7a0c7449194ac033fdc78","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2016-12-28T13:44:19Z","title_canon_sha256":"8446d40961c28d3663db57b06bd4e1de18181122400d9aa24106e1fffd86772b"},"schema_version":"1.0","source":{"id":"1612.08882","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.08882","created_at":"2026-05-18T00:53:11Z"},{"alias_kind":"arxiv_version","alias_value":"1612.08882v2","created_at":"2026-05-18T00:53:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.08882","created_at":"2026-05-18T00:53:11Z"},{"alias_kind":"pith_short_12","alias_value":"HJ22MIYYHCD4","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"HJ22MIYYHCD4QO7V","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"HJ22MIYY","created_at":"2026-05-18T12:30:19Z"}],"graph_snapshots":[{"event_id":"sha256:8addb59e8ec310db0316429b49310de67e98f69349a23650a7b5a4afd33548e6","target":"graph","created_at":"2026-05-18T00:53:11Z","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":"Conventional state-of-the-art image steganalysis approaches usually consist of a classifier trained with features provided by rich image models. As both features extraction and classification steps are perfectly embodied in the deep learning architecture called Convolutional Neural Network (CNN), different studies have tried to design a CNN-based steganalyzer. The network designed by Xu et al. is the first competitive CNN with the combination Spatial Rich Models (SRM) and Ensemble Classifier (EC) providing detection performances of the same order. In this work we propose a criterion to choose ","authors_text":"Jean-Francois Couchot, Michel Salomon, Rapha\\\"el Couturier","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2016-12-28T13:44:19Z","title":"Improving Blind Steganalysis in Spatial Domain using a Criterion to Choose the Appropriate Steganalyzer between CNN and SRM+EC"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.08882","kind":"arxiv","version":2},"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":"sha256:649dbc5da9b2bf1a48bae9cade5adc5b4ae8dffd4f79b0d8380d1d74c2a31e7c","target":"record","created_at":"2026-05-18T00:53:11Z","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":"2f51e8bfb2a258a6094471b83c58261953430ddad9d7a0c7449194ac033fdc78","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2016-12-28T13:44:19Z","title_canon_sha256":"8446d40961c28d3663db57b06bd4e1de18181122400d9aa24106e1fffd86772b"},"schema_version":"1.0","source":{"id":"1612.08882","kind":"arxiv","version":2}},"canonical_sha256":"3a75a623183887c83bf536d187a9066dea8a05dc307a2034c48ec35ea22001f5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a75a623183887c83bf536d187a9066dea8a05dc307a2034c48ec35ea22001f5","first_computed_at":"2026-05-18T00:53:11.884461Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:53:11.884461Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kZ+9RpHHygmJDetECFPQ/p2OXudTp4EEp4nG6fMpplplNlaaacA1gt4SKgKas3g3RxPtp0OKnU1TeygEqhr5Dw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:53:11.884871Z","signed_message":"canonical_sha256_bytes"},"source_id":"1612.08882","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:649dbc5da9b2bf1a48bae9cade5adc5b4ae8dffd4f79b0d8380d1d74c2a31e7c","sha256:8addb59e8ec310db0316429b49310de67e98f69349a23650a7b5a4afd33548e6"],"state_sha256":"0bcaacac9e2e5e90e0ceebc2cd30a5a983b44af9ce23eda3d451eb54e46c0fad"}