{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:AUW2S4RMAVFSZX6VBAYHFILY5P","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":"7b995234b4a13aae0d312584aa9f7974a3354a251ab3785ef2e2200ba829af64","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-09T14:47:16Z","title_canon_sha256":"55b91b0a7fbb2c1a3567ce4d25d92add637c572c39858312060540e329112437"},"schema_version":"1.0","source":{"id":"2606.10939","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.10939","created_at":"2026-06-10T01:10:48Z"},{"alias_kind":"arxiv_version","alias_value":"2606.10939v1","created_at":"2026-06-10T01:10:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.10939","created_at":"2026-06-10T01:10:48Z"},{"alias_kind":"pith_short_12","alias_value":"AUW2S4RMAVFS","created_at":"2026-06-10T01:10:48Z"},{"alias_kind":"pith_short_16","alias_value":"AUW2S4RMAVFSZX6V","created_at":"2026-06-10T01:10:48Z"},{"alias_kind":"pith_short_8","alias_value":"AUW2S4RM","created_at":"2026-06-10T01:10:48Z"}],"graph_snapshots":[{"event_id":"sha256:8ff9bc5fc5c3fb73d883f419c939795317566dd28d877a6d0569f72511984f3a","target":"graph","created_at":"2026-06-10T01:10:48Z","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/2606.10939/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image steganalysis, the detection of hidden information embedded in digital images, is a core component of modern cybersecurity and digital forensics. Recent residual Transformer architectures, such as the Pixel-Difference-Convolution and Enhanced-Transformer-Network (PENet) [1], achieve strong detection accuracy, but their computational and memory demands hinder deployment in resource-constrained settings. We present PENet+, a lightweight steganalysis framework that preserves PENet's discriminative structure while substantially improving efficiency. Rather than redesigning or compressing the ","authors_text":"Dongsu Kim, Haneol Jang, Jincheol AN, Youngjoon Yoo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-09T14:47:16Z","title":"PENet+: A Lightweight Residual Transformer Framework for Efficient Image Steganalysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.10939","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":"sha256:767a505f3fae80b7d9fbc992618600bfd0a5aeae07263597815fcc043674b984","target":"record","created_at":"2026-06-10T01:10:48Z","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":"7b995234b4a13aae0d312584aa9f7974a3354a251ab3785ef2e2200ba829af64","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-09T14:47:16Z","title_canon_sha256":"55b91b0a7fbb2c1a3567ce4d25d92add637c572c39858312060540e329112437"},"schema_version":"1.0","source":{"id":"2606.10939","kind":"arxiv","version":1}},"canonical_sha256":"052da9722c054b2cdfd5083072a178ebde7337c077afdcc35d27509b994204c9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"052da9722c054b2cdfd5083072a178ebde7337c077afdcc35d27509b994204c9","first_computed_at":"2026-06-10T01:10:48.988476Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-10T01:10:48.988476Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"phZWx/EQ5DKu7/29ZAbnvePhJhs17TDJ2wVjISldkBVS7mH5wft1pG5wsPbFRRklFG0ChX36CQIkAcQl+JGCAA==","signature_status":"signed_v1","signed_at":"2026-06-10T01:10:48.989311Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.10939","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:767a505f3fae80b7d9fbc992618600bfd0a5aeae07263597815fcc043674b984","sha256:8ff9bc5fc5c3fb73d883f419c939795317566dd28d877a6d0569f72511984f3a"],"state_sha256":"8cf546b6ca6839d1427a2c28a1f879a290cf9a359a0bf56e2ab5db6722a20024"}