{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:AFI7PDZ7EHMNDA3G7GGB5MK2YQ","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":"837932e86c0167e2f90d668f36dd0ab17cfa4101f1cd31f8d5a02c7b2a13f429","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-29T09:25:58Z","title_canon_sha256":"f87dbe9772c2a698682a0ea567e68f087da0328b4ba8a4db72f03cbca152f11b"},"schema_version":"1.0","source":{"id":"2606.30024","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.30024","created_at":"2026-06-30T02:17:46Z"},{"alias_kind":"arxiv_version","alias_value":"2606.30024v1","created_at":"2026-06-30T02:17:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.30024","created_at":"2026-06-30T02:17:46Z"},{"alias_kind":"pith_short_12","alias_value":"AFI7PDZ7EHMN","created_at":"2026-06-30T02:17:46Z"},{"alias_kind":"pith_short_16","alias_value":"AFI7PDZ7EHMNDA3G","created_at":"2026-06-30T02:17:46Z"},{"alias_kind":"pith_short_8","alias_value":"AFI7PDZ7","created_at":"2026-06-30T02:17:46Z"}],"graph_snapshots":[{"event_id":"sha256:4419d6c2ab949b5a4831d7d81b6a7d09ae1267a806c5da1e3e55be998b849d3d","target":"graph","created_at":"2026-06-30T02:17:46Z","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/2606.30024/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in deep learning have notably improved steganographic message hiding. However, designing a generalizable steganographic approach for 3D Gaussian Splatting (3DGS) that can embed meaningful 3D scene content remains challenging. In this paper, we propose IBRSteG, a generalizable framework for 3DGS steganography that enables undetectable concealment of secret scenes within a steganographic scene. Unlike existing approaches whose parameter generation is rigidly coupled with the specific scene, we formulate 3D steganography as a feed-forward 3D Gaussian embedding process that general","authors_text":"Boyang Gong, Fanye Kong, Hongyu Xia, Jie Zhou, Jiwen Lu, Yu Zheng","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-29T09:25:58Z","title":"IBRSteG: Learning a Generalizable Steganography Framework for 3D Gaussian Splatting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.30024","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:c9e80134f6f4e0c7c17bcbaf5d2a3d20b7a70bff04bb373e4f56c73861213cb3","target":"record","created_at":"2026-06-30T02:17:46Z","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":"837932e86c0167e2f90d668f36dd0ab17cfa4101f1cd31f8d5a02c7b2a13f429","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-29T09:25:58Z","title_canon_sha256":"f87dbe9772c2a698682a0ea567e68f087da0328b4ba8a4db72f03cbca152f11b"},"schema_version":"1.0","source":{"id":"2606.30024","kind":"arxiv","version":1}},"canonical_sha256":"0151f78f3f21d8d18366f98c1eb15ac40d169cab0f77757192f3a862b14559e4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0151f78f3f21d8d18366f98c1eb15ac40d169cab0f77757192f3a862b14559e4","first_computed_at":"2026-06-30T02:17:46.500872Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T02:17:46.500872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fxmcc0sOh0ow/kv22ri115Zue+plyDDGKZE0RtJ3fZUyT3rMxfrw7dPx6Ilv2fZ//onXNBEXWb4V4Vnxr80XBA==","signature_status":"signed_v1","signed_at":"2026-06-30T02:17:46.501519Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.30024","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c9e80134f6f4e0c7c17bcbaf5d2a3d20b7a70bff04bb373e4f56c73861213cb3","sha256:4419d6c2ab949b5a4831d7d81b6a7d09ae1267a806c5da1e3e55be998b849d3d"],"state_sha256":"531c81184c55a36711890c4aef2d9185782efd32f5fb5dcce971d928af134d83"}