{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:2LIXNGTUMEQGEFS4FIBKJX4L57","short_pith_number":"pith:2LIXNGTU","schema_version":"1.0","canonical_sha256":"d2d1769a74612062165c2a02a4df8befe29c46d74c507b50100180e56d11f4f7","source":{"kind":"arxiv","id":"2507.08343","version":2},"attestation_state":"computed","paper":{"title":"Towards Imperceptible JPEG Image Hiding: Multi-range Representations-driven Adversarial Stego Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jianhua Yang, Junxue Yang, Weixuan Tang, Xin Liao, Zheng Qin","submitted_at":"2025-07-11T06:45:07Z","abstract_excerpt":"Image hiding fully explores the hidden potential of deep learning-based models, aiming to conceal image-level messages within cover images and reveal them from stego images to achieve covert communication. Existing hiding schemes are easily detected by the naked eyes or steganalyzers due to the cover type confined to the spatial domain, single-range feature extraction and attacks, and insufficient loss constraints. To address these issues, we propose a multi-range representations-driven adversarial stego generation framework called MRAG for JPEG image hiding. This design stems from the fact th"},"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":"2507.08343","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-11T06:45:07Z","cross_cats_sorted":[],"title_canon_sha256":"681e315959cad53e907c6a63e1cd4f7a9876572a1cae5eeb0ac42545afad7253","abstract_canon_sha256":"4b99bb557a9f4d79fb1f80fdd7f1b8827e04adfb81cff6c7d3876a4172ebf4ac"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:48:27.103674Z","signature_b64":"OjHm6Ri/sdJKz8G7fFd/qIyTVS3WW/ns2rzkxg5nq6RSKWkmNRf5RYNTA/TciDPQNEUc3vL1/F1aM7s9AnDaDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d2d1769a74612062165c2a02a4df8befe29c46d74c507b50100180e56d11f4f7","last_reissued_at":"2026-07-05T11:48:27.103141Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:48:27.103141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Towards Imperceptible JPEG Image Hiding: Multi-range Representations-driven Adversarial Stego Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jianhua Yang, Junxue Yang, Weixuan Tang, Xin Liao, Zheng Qin","submitted_at":"2025-07-11T06:45:07Z","abstract_excerpt":"Image hiding fully explores the hidden potential of deep learning-based models, aiming to conceal image-level messages within cover images and reveal them from stego images to achieve covert communication. Existing hiding schemes are easily detected by the naked eyes or steganalyzers due to the cover type confined to the spatial domain, single-range feature extraction and attacks, and insufficient loss constraints. To address these issues, we propose a multi-range representations-driven adversarial stego generation framework called MRAG for JPEG image hiding. This design stems from the fact th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.08343","kind":"arxiv","version":2},"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/2507.08343/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2507.08343","created_at":"2026-07-05T11:48:27.103200+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.08343v2","created_at":"2026-07-05T11:48:27.103200+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.08343","created_at":"2026-07-05T11:48:27.103200+00:00"},{"alias_kind":"pith_short_12","alias_value":"2LIXNGTUMEQG","created_at":"2026-07-05T11:48:27.103200+00:00"},{"alias_kind":"pith_short_16","alias_value":"2LIXNGTUMEQGEFS4","created_at":"2026-07-05T11:48:27.103200+00:00"},{"alias_kind":"pith_short_8","alias_value":"2LIXNGTU","created_at":"2026-07-05T11:48:27.103200+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/2LIXNGTUMEQGEFS4FIBKJX4L57","json":"https://pith.science/pith/2LIXNGTUMEQGEFS4FIBKJX4L57.json","graph_json":"https://pith.science/api/pith-number/2LIXNGTUMEQGEFS4FIBKJX4L57/graph.json","events_json":"https://pith.science/api/pith-number/2LIXNGTUMEQGEFS4FIBKJX4L57/events.json","paper":"https://pith.science/paper/2LIXNGTU"},"agent_actions":{"view_html":"https://pith.science/pith/2LIXNGTUMEQGEFS4FIBKJX4L57","download_json":"https://pith.science/pith/2LIXNGTUMEQGEFS4FIBKJX4L57.json","view_paper":"https://pith.science/paper/2LIXNGTU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.08343&json=true","fetch_graph":"https://pith.science/api/pith-number/2LIXNGTUMEQGEFS4FIBKJX4L57/graph.json","fetch_events":"https://pith.science/api/pith-number/2LIXNGTUMEQGEFS4FIBKJX4L57/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2LIXNGTUMEQGEFS4FIBKJX4L57/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2LIXNGTUMEQGEFS4FIBKJX4L57/action/storage_attestation","attest_author":"https://pith.science/pith/2LIXNGTUMEQGEFS4FIBKJX4L57/action/author_attestation","sign_citation":"https://pith.science/pith/2LIXNGTUMEQGEFS4FIBKJX4L57/action/citation_signature","submit_replication":"https://pith.science/pith/2LIXNGTUMEQGEFS4FIBKJX4L57/action/replication_record"}},"created_at":"2026-07-05T11:48:27.103200+00:00","updated_at":"2026-07-05T11:48:27.103200+00:00"}