{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:TARPMBEYGZUVFKIUCN2NW43XTS","short_pith_number":"pith:TARPMBEY","canonical_record":{"source":{"id":"2504.15139","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-04-21T14:43:00Z","cross_cats_sorted":[],"title_canon_sha256":"b17f2ae57c25a2d4a32563be69cbc0b81ad62ff6834b1cefa3fa960f62924c53","abstract_canon_sha256":"848f720f0bf60830046b5b354352d3147b1796a3bb9b5ce2157bb5f34b071c0a"},"schema_version":"1.0"},"canonical_sha256":"9822f60498366952a9141374db73779cbe1b01ae6518525147f1d0e46b5f4f04","source":{"kind":"arxiv","id":"2504.15139","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.15139","created_at":"2026-07-05T10:51:56Z"},{"alias_kind":"arxiv_version","alias_value":"2504.15139v1","created_at":"2026-07-05T10:51:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.15139","created_at":"2026-07-05T10:51:56Z"},{"alias_kind":"pith_short_12","alias_value":"TARPMBEYGZUV","created_at":"2026-07-05T10:51:56Z"},{"alias_kind":"pith_short_16","alias_value":"TARPMBEYGZUVFKIU","created_at":"2026-07-05T10:51:56Z"},{"alias_kind":"pith_short_8","alias_value":"TARPMBEY","created_at":"2026-07-05T10:51:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:TARPMBEYGZUVFKIUCN2NW43XTS","target":"record","payload":{"canonical_record":{"source":{"id":"2504.15139","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-04-21T14:43:00Z","cross_cats_sorted":[],"title_canon_sha256":"b17f2ae57c25a2d4a32563be69cbc0b81ad62ff6834b1cefa3fa960f62924c53","abstract_canon_sha256":"848f720f0bf60830046b5b354352d3147b1796a3bb9b5ce2157bb5f34b071c0a"},"schema_version":"1.0"},"canonical_sha256":"9822f60498366952a9141374db73779cbe1b01ae6518525147f1d0e46b5f4f04","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:51:56.722927Z","signature_b64":"oB4hzE/RMnpGlaVSFQfEQoPQMpNCgqvrikp+MbqyUod986paZsD1W1oG+HsXm9raXvxrFixhbLzpqeIlmz3gAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9822f60498366952a9141374db73779cbe1b01ae6518525147f1d0e46b5f4f04","last_reissued_at":"2026-07-05T10:51:56.722512Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:51:56.722512Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.15139","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":"2026-07-05T10:51:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UIX7YA8Wx/7bedKL05RW8WBFAn/8jKjNM1/RauFaVbVwgR+vBiQQLJWZtICMtIfPz0hopeaqAFAR7kPaWIL2Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T19:15:33.643820Z"},"content_sha256":"77c1131882ce50e6c2e6e31e01b08fff965df656cdae6d7fc03af7083b4c76fe","schema_version":"1.0","event_id":"sha256:77c1131882ce50e6c2e6e31e01b08fff965df656cdae6d7fc03af7083b4c76fe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:TARPMBEYGZUVFKIUCN2NW43XTS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Kejiang Chen, Nenghai Yu, Ruiheng Liu, Weiming Zhang, Xiangkun Wang, Yuang Qi","submitted_at":"2025-04-21T14:43:00Z","abstract_excerpt":"Minimum distortion steganography is currently the mainstream method for modification-based steganography. A key issue in this method is how to define steganographic distortion. With the rapid development of deep learning technology, the definition of distortion has evolved from manual design to deep learning design. Concurrently, rapid advancements in image generation have made generated images viable as cover media. However, existing distortion design methods based on machine learning do not fully leverage the advantages of generated cover media, resulting in suboptimal security performance. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.15139","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/2504.15139/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":"2026-07-05T10:51:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yyvuJ1qSiKvVon/95QOkrrxO+U7scr7EN0MImNUZtb3NsW3rPZBLUlGojofrhPpNByIepqLWuRSq6BLkx5hpDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T19:15:33.644394Z"},"content_sha256":"dd674d4520a09a1d2ef80a1b4903d38bbe7123bcff2211b4bdc5f10ff5370291","schema_version":"1.0","event_id":"sha256:dd674d4520a09a1d2ef80a1b4903d38bbe7123bcff2211b4bdc5f10ff5370291"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TARPMBEYGZUVFKIUCN2NW43XTS/bundle.json","state_url":"https://pith.science/pith/TARPMBEYGZUVFKIUCN2NW43XTS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TARPMBEYGZUVFKIUCN2NW43XTS/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":"2026-08-18T19:15:33Z","links":{"resolver":"https://pith.science/pith/TARPMBEYGZUVFKIUCN2NW43XTS","bundle":"https://pith.science/pith/TARPMBEYGZUVFKIUCN2NW43XTS/bundle.json","state":"https://pith.science/pith/TARPMBEYGZUVFKIUCN2NW43XTS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TARPMBEYGZUVFKIUCN2NW43XTS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TARPMBEYGZUVFKIUCN2NW43XTS","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":"848f720f0bf60830046b5b354352d3147b1796a3bb9b5ce2157bb5f34b071c0a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-04-21T14:43:00Z","title_canon_sha256":"b17f2ae57c25a2d4a32563be69cbc0b81ad62ff6834b1cefa3fa960f62924c53"},"schema_version":"1.0","source":{"id":"2504.15139","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.15139","created_at":"2026-07-05T10:51:56Z"},{"alias_kind":"arxiv_version","alias_value":"2504.15139v1","created_at":"2026-07-05T10:51:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.15139","created_at":"2026-07-05T10:51:56Z"},{"alias_kind":"pith_short_12","alias_value":"TARPMBEYGZUV","created_at":"2026-07-05T10:51:56Z"},{"alias_kind":"pith_short_16","alias_value":"TARPMBEYGZUVFKIU","created_at":"2026-07-05T10:51:56Z"},{"alias_kind":"pith_short_8","alias_value":"TARPMBEY","created_at":"2026-07-05T10:51:56Z"}],"graph_snapshots":[{"event_id":"sha256:dd674d4520a09a1d2ef80a1b4903d38bbe7123bcff2211b4bdc5f10ff5370291","target":"graph","created_at":"2026-07-05T10:51:56Z","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/2504.15139/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Minimum distortion steganography is currently the mainstream method for modification-based steganography. A key issue in this method is how to define steganographic distortion. With the rapid development of deep learning technology, the definition of distortion has evolved from manual design to deep learning design. Concurrently, rapid advancements in image generation have made generated images viable as cover media. However, existing distortion design methods based on machine learning do not fully leverage the advantages of generated cover media, resulting in suboptimal security performance. ","authors_text":"Kejiang Chen, Nenghai Yu, Ruiheng Liu, Weiming Zhang, Xiangkun Wang, Yuang Qi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.15139","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":"sha256:77c1131882ce50e6c2e6e31e01b08fff965df656cdae6d7fc03af7083b4c76fe","target":"record","created_at":"2026-07-05T10:51:56Z","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":"848f720f0bf60830046b5b354352d3147b1796a3bb9b5ce2157bb5f34b071c0a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-04-21T14:43:00Z","title_canon_sha256":"b17f2ae57c25a2d4a32563be69cbc0b81ad62ff6834b1cefa3fa960f62924c53"},"schema_version":"1.0","source":{"id":"2504.15139","kind":"arxiv","version":1}},"canonical_sha256":"9822f60498366952a9141374db73779cbe1b01ae6518525147f1d0e46b5f4f04","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9822f60498366952a9141374db73779cbe1b01ae6518525147f1d0e46b5f4f04","first_computed_at":"2026-07-05T10:51:56.722512Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:51:56.722512Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oB4hzE/RMnpGlaVSFQfEQoPQMpNCgqvrikp+MbqyUod986paZsD1W1oG+HsXm9raXvxrFixhbLzpqeIlmz3gAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:51:56.722927Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.15139","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:77c1131882ce50e6c2e6e31e01b08fff965df656cdae6d7fc03af7083b4c76fe","sha256:dd674d4520a09a1d2ef80a1b4903d38bbe7123bcff2211b4bdc5f10ff5370291"],"state_sha256":"c65c7423a306c26ffe56c1d4e1348c627ed0fac89875d2558d2c50b6bbf63170"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qXFOH8SE15l9GA5uhZuLYtcrf26QLcku9/kS1lvLVVcl5dl7pGjr6gOXj3PV9+Uy+g6nR+KmhEx2q253xDfmDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T19:15:33.650713Z","bundle_sha256":"b3ed4f3c548363d8b8b7516c085c76e494ed37a51ed359aaec523a07772c73e3"}}