{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LMXLW5DINAUCJBE6SSAKLH335W","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":"bf8c393179c5f9b275a4ae1307ff661e3b7439a5631eaa7ed47ee74ca8e842b0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-11T06:49:33Z","title_canon_sha256":"dc4177b8683e426f193d9fc889cf80b2ce20fc3994bfe0ceb67ef1b97414112e"},"schema_version":"1.0","source":{"id":"2504.08291","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.08291","created_at":"2026-07-05T10:47:46Z"},{"alias_kind":"arxiv_version","alias_value":"2504.08291v1","created_at":"2026-07-05T10:47:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.08291","created_at":"2026-07-05T10:47:46Z"},{"alias_kind":"pith_short_12","alias_value":"LMXLW5DINAUC","created_at":"2026-07-05T10:47:46Z"},{"alias_kind":"pith_short_16","alias_value":"LMXLW5DINAUCJBE6","created_at":"2026-07-05T10:47:46Z"},{"alias_kind":"pith_short_8","alias_value":"LMXLW5DI","created_at":"2026-07-05T10:47:46Z"}],"graph_snapshots":[{"event_id":"sha256:b0211a8965dca4046b111cb0e200ef1959034b2422eafa612c210860d422b5d5","target":"graph","created_at":"2026-07-05T10:47:46Z","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/2504.08291/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image fusion seeks to seamlessly integrate foreground objects with background scenes, producing realistic and harmonious fused images. Unlike existing methods that directly insert objects into the background, adaptive and interactive fusion remains a challenging yet appealing task. It requires the foreground to adjust or interact with the background context, enabling more coherent integration. To address this, we propose an iterative human-in-the-loop data generation pipeline, which leverages limited initial data with diverse textual prompts to generate fusion datasets across various scenarios","authors_text":"Guanbin Li, Jie Wu, Jiyang Liu, Junjia Huang, Liang Lin, Pengxiang Yan, Yitong Wang, Zhao Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-11T06:49:33Z","title":"DreamFuse: Adaptive Image Fusion with Diffusion Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.08291","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":"sha256:11892ee183fb3411172bafe829547d1fe0fdeef88f1d131919195d7a62d84728","target":"record","created_at":"2026-07-05T10:47:46Z","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":"bf8c393179c5f9b275a4ae1307ff661e3b7439a5631eaa7ed47ee74ca8e842b0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-11T06:49:33Z","title_canon_sha256":"dc4177b8683e426f193d9fc889cf80b2ce20fc3994bfe0ceb67ef1b97414112e"},"schema_version":"1.0","source":{"id":"2504.08291","kind":"arxiv","version":1}},"canonical_sha256":"5b2ebb7468682824849e9480a59f7bedbedc763a95d84f9286185c30f1cc1a75","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b2ebb7468682824849e9480a59f7bedbedc763a95d84f9286185c30f1cc1a75","first_computed_at":"2026-07-05T10:47:46.574105Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:47:46.574105Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3sB7p3GKsrK/zF/jb9VsxwCTKD4mW6bTbd1h0/q9ir1Z9v6sjWw12Cbu4BoZlwzuHD1fprBU3F2nITjExRXdBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:47:46.574597Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.08291","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:11892ee183fb3411172bafe829547d1fe0fdeef88f1d131919195d7a62d84728","sha256:b0211a8965dca4046b111cb0e200ef1959034b2422eafa612c210860d422b5d5"],"state_sha256":"3b50b1d447c49981cab9063a4e5055770c0abaac060e65791c8ed2df2904b7d1"}