{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QEXJJV4OI2FMZEEXQJQB24LY2O","short_pith_number":"pith:QEXJJV4O","canonical_record":{"source":{"id":"2505.12251","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-18T06:15:00Z","cross_cats_sorted":[],"title_canon_sha256":"d0987ad69bc7be26b7a2b6180e00d80245a1b5b1da133ddaefdf4c89ae36e16d","abstract_canon_sha256":"a0426cadd20a528a86b5816af67c976adbcb00e0b48c71863ade9d482b3e4369"},"schema_version":"1.0"},"canonical_sha256":"812e94d78e468acc909782601d7178d39771b64c5530c89afcb1e72c5b2cab6c","source":{"kind":"arxiv","id":"2505.12251","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.12251","created_at":"2026-07-05T11:05:00Z"},{"alias_kind":"arxiv_version","alias_value":"2505.12251v1","created_at":"2026-07-05T11:05:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.12251","created_at":"2026-07-05T11:05:00Z"},{"alias_kind":"pith_short_12","alias_value":"QEXJJV4OI2FM","created_at":"2026-07-05T11:05:00Z"},{"alias_kind":"pith_short_16","alias_value":"QEXJJV4OI2FMZEEX","created_at":"2026-07-05T11:05:00Z"},{"alias_kind":"pith_short_8","alias_value":"QEXJJV4O","created_at":"2026-07-05T11:05:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QEXJJV4OI2FMZEEXQJQB24LY2O","target":"record","payload":{"canonical_record":{"source":{"id":"2505.12251","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-18T06:15:00Z","cross_cats_sorted":[],"title_canon_sha256":"d0987ad69bc7be26b7a2b6180e00d80245a1b5b1da133ddaefdf4c89ae36e16d","abstract_canon_sha256":"a0426cadd20a528a86b5816af67c976adbcb00e0b48c71863ade9d482b3e4369"},"schema_version":"1.0"},"canonical_sha256":"812e94d78e468acc909782601d7178d39771b64c5530c89afcb1e72c5b2cab6c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:05:00.927528Z","signature_b64":"mehk1zp/PUDspDSUmrZlIHllD0W4PCbUCM74Yh2hwZGaHHpN8gcdyKx7kz/aeB5orEbIV9bx9XUJyXeEUmQkDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"812e94d78e468acc909782601d7178d39771b64c5530c89afcb1e72c5b2cab6c","last_reissued_at":"2026-07-05T11:05:00.927053Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:05:00.927053Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.12251","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":"2026-07-05T11:05:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qlTvKso3vOXIxmccKh00f0KxAwhZaoR4Yuzs7mEk/A6G11hUArfmf9bFNuG/dVQknjilRW9t93pS/9rjmi/pCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T16:14:00.175314Z"},"content_sha256":"b762590440deb93f3b2d5d4c9c456df16cce97be1953cd2c3425ad9fc6e75754","schema_version":"1.0","event_id":"sha256:b762590440deb93f3b2d5d4c9c456df16cce97be1953cd2c3425ad9fc6e75754"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QEXJJV4OI2FMZEEXQJQB24LY2O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SMFusion: Semantic-Preserving Fusion of Multimodal Medical Images for Enhanced Clinical Diagnosis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Han Zhang, Haozhe Xiang, Wanwan Huang, Xiongwen Quan, Yu Cheng","submitted_at":"2025-05-18T06:15:00Z","abstract_excerpt":"Multimodal medical image fusion plays a crucial role in medical diagnosis by integrating complementary information from different modalities to enhance image readability and clinical applicability. However, existing methods mainly follow computer vision standards for feature extraction and fusion strategy formulation, overlooking the rich semantic information inherent in medical images. To address this limitation, we propose a novel semantic-guided medical image fusion approach that, for the first time, incorporates medical prior knowledge into the fusion process. Specifically, we construct a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.12251","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/2505.12251/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":"2026-07-05T11:05:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HO4YX2bLmTPaol7LzmWSq9BBGHVhIL1RcACwNKAYf7NJC0tO1IOY3kVEwq9FAvXeKEVBE8yaEp2i5vbFKTLDCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T16:14:00.175818Z"},"content_sha256":"4c5523d9958fd6f31d1c91edaee67e5f3abd9d734dac3a1438c2b3fdeaec5732","schema_version":"1.0","event_id":"sha256:4c5523d9958fd6f31d1c91edaee67e5f3abd9d734dac3a1438c2b3fdeaec5732"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QEXJJV4OI2FMZEEXQJQB24LY2O/bundle.json","state_url":"https://pith.science/pith/QEXJJV4OI2FMZEEXQJQB24LY2O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QEXJJV4OI2FMZEEXQJQB24LY2O/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":"2026-08-23T16:14:00Z","links":{"resolver":"https://pith.science/pith/QEXJJV4OI2FMZEEXQJQB24LY2O","bundle":"https://pith.science/pith/QEXJJV4OI2FMZEEXQJQB24LY2O/bundle.json","state":"https://pith.science/pith/QEXJJV4OI2FMZEEXQJQB24LY2O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QEXJJV4OI2FMZEEXQJQB24LY2O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QEXJJV4OI2FMZEEXQJQB24LY2O","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":"a0426cadd20a528a86b5816af67c976adbcb00e0b48c71863ade9d482b3e4369","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-18T06:15:00Z","title_canon_sha256":"d0987ad69bc7be26b7a2b6180e00d80245a1b5b1da133ddaefdf4c89ae36e16d"},"schema_version":"1.0","source":{"id":"2505.12251","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.12251","created_at":"2026-07-05T11:05:00Z"},{"alias_kind":"arxiv_version","alias_value":"2505.12251v1","created_at":"2026-07-05T11:05:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.12251","created_at":"2026-07-05T11:05:00Z"},{"alias_kind":"pith_short_12","alias_value":"QEXJJV4OI2FM","created_at":"2026-07-05T11:05:00Z"},{"alias_kind":"pith_short_16","alias_value":"QEXJJV4OI2FMZEEX","created_at":"2026-07-05T11:05:00Z"},{"alias_kind":"pith_short_8","alias_value":"QEXJJV4O","created_at":"2026-07-05T11:05:00Z"}],"graph_snapshots":[{"event_id":"sha256:4c5523d9958fd6f31d1c91edaee67e5f3abd9d734dac3a1438c2b3fdeaec5732","target":"graph","created_at":"2026-07-05T11:05:00Z","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/2505.12251/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal medical image fusion plays a crucial role in medical diagnosis by integrating complementary information from different modalities to enhance image readability and clinical applicability. However, existing methods mainly follow computer vision standards for feature extraction and fusion strategy formulation, overlooking the rich semantic information inherent in medical images. To address this limitation, we propose a novel semantic-guided medical image fusion approach that, for the first time, incorporates medical prior knowledge into the fusion process. Specifically, we construct a ","authors_text":"Han Zhang, Haozhe Xiang, Wanwan Huang, Xiongwen Quan, Yu Cheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-18T06:15:00Z","title":"SMFusion: Semantic-Preserving Fusion of Multimodal Medical Images for Enhanced Clinical Diagnosis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.12251","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:b762590440deb93f3b2d5d4c9c456df16cce97be1953cd2c3425ad9fc6e75754","target":"record","created_at":"2026-07-05T11:05:00Z","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":"a0426cadd20a528a86b5816af67c976adbcb00e0b48c71863ade9d482b3e4369","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-18T06:15:00Z","title_canon_sha256":"d0987ad69bc7be26b7a2b6180e00d80245a1b5b1da133ddaefdf4c89ae36e16d"},"schema_version":"1.0","source":{"id":"2505.12251","kind":"arxiv","version":1}},"canonical_sha256":"812e94d78e468acc909782601d7178d39771b64c5530c89afcb1e72c5b2cab6c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"812e94d78e468acc909782601d7178d39771b64c5530c89afcb1e72c5b2cab6c","first_computed_at":"2026-07-05T11:05:00.927053Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:05:00.927053Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mehk1zp/PUDspDSUmrZlIHllD0W4PCbUCM74Yh2hwZGaHHpN8gcdyKx7kz/aeB5orEbIV9bx9XUJyXeEUmQkDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:05:00.927528Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.12251","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b762590440deb93f3b2d5d4c9c456df16cce97be1953cd2c3425ad9fc6e75754","sha256:4c5523d9958fd6f31d1c91edaee67e5f3abd9d734dac3a1438c2b3fdeaec5732"],"state_sha256":"ca243ede8ed0bbc2a650f878dec6fcc3ce4b313da451c90309cc1222bc22e138"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ycS15VKRg63fRqrVqyqNDuDyErVCXocvy+yWHdc6g2HAQ75KTuoa1Lz+anquK5SBp5RM8X5EcAm7RBDOZepDCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T16:14:00.180978Z","bundle_sha256":"d6ad4db6f647f1d08ed50e602353bec605fd5bf3f63f54ded0e92ab73e943331"}}