{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DF6LPE7D5DDRPM6RV7FILWHWLO","short_pith_number":"pith:DF6LPE7D","canonical_record":{"source":{"id":"2505.06133","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-09T15:40:09Z","cross_cats_sorted":[],"title_canon_sha256":"649207b63ab5c39aa490c16b005b3203a23c5c9deb20e7a932ae9477e895b8de","abstract_canon_sha256":"4ffff69d4fcdcb62f5d0e52ad48c9d55af295c4c86f1ef942e9104e322006972"},"schema_version":"1.0"},"canonical_sha256":"197cb793e3e8c717b3d1afca85d8f65bbf13f8d1d5bcb7e522f4f5562bec80c1","source":{"kind":"arxiv","id":"2505.06133","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.06133","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"arxiv_version","alias_value":"2505.06133v2","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.06133","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"pith_short_12","alias_value":"DF6LPE7D5DDR","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"pith_short_16","alias_value":"DF6LPE7D5DDRPM6R","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"pith_short_8","alias_value":"DF6LPE7D","created_at":"2026-07-05T11:49:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DF6LPE7D5DDRPM6RV7FILWHWLO","target":"record","payload":{"canonical_record":{"source":{"id":"2505.06133","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-09T15:40:09Z","cross_cats_sorted":[],"title_canon_sha256":"649207b63ab5c39aa490c16b005b3203a23c5c9deb20e7a932ae9477e895b8de","abstract_canon_sha256":"4ffff69d4fcdcb62f5d0e52ad48c9d55af295c4c86f1ef942e9104e322006972"},"schema_version":"1.0"},"canonical_sha256":"197cb793e3e8c717b3d1afca85d8f65bbf13f8d1d5bcb7e522f4f5562bec80c1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:49:10.075075Z","signature_b64":"rnmJSlmsk4XVPw3MflQ8NdXuj+Ogt1eXXk2YQs5yuyH0M5BpfEnEMPpyzPaxaGsjiCnwWijuHvXflmqr41t1Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"197cb793e3e8c717b3d1afca85d8f65bbf13f8d1d5bcb7e522f4f5562bec80c1","last_reissued_at":"2026-07-05T11:49:10.074613Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:49:10.074613Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.06133","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:49:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vp7+HxPS1URfUbSeIk2kmAGkHJdUHFMGDmkiRIcAAef1NPzwXu8coMpsH0e2PKH6XqFLgkW6W887Ff5lvcmfDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T04:18:08.660936Z"},"content_sha256":"8a99ecd842a769e4cc6e90ce6a2387c87e877ddd39ef8829c05c3c4abe8e3c0c","schema_version":"1.0","event_id":"sha256:8a99ecd842a769e4cc6e90ce6a2387c87e877ddd39ef8829c05c3c4abe8e3c0c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DF6LPE7D5DDRPM6RV7FILWHWLO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hao Zheng, Hongming Wang, Hongtao Wu, Huimin Huang, Jia-Xuan Jiang, Jing Cheng, Jinping Xu, Xian Wu, Xiaodong Zhang, Yefeng Zheng, Yifeng Wu","submitted_at":"2025-05-09T15:40:09Z","abstract_excerpt":"The segmentation of substantial brain lesions is a significant and challenging task in the field of medical image segmentation. Substantial brain lesions in brain imaging exhibit high heterogeneity, with indistinct boundaries between lesion regions and normal brain tissue. Small lesions in single slices are difficult to identify, making the accurate and reproducible segmentation of abnormal regions, as well as their feature description, highly complex. Existing methods have the following limitations: 1) They rely solely on single-modal information for learning, neglecting the multi-modal infor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.06133","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/2505.06133/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":"2026-07-05T11:49:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+5e4xK8zJC+L6/eYTsvIWyalSYMxq5CBrSzFT+/L+rznQAJ2yVAJ9gQGkckgW0vBvNH+cvvs2AZUMTx86TYfDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T04:18:08.661310Z"},"content_sha256":"dc12a331532214835ed554f82076dd39f437f54f2d098ab69202f38adcd01aaf","schema_version":"1.0","event_id":"sha256:dc12a331532214835ed554f82076dd39f437f54f2d098ab69202f38adcd01aaf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DF6LPE7D5DDRPM6RV7FILWHWLO/bundle.json","state_url":"https://pith.science/pith/DF6LPE7D5DDRPM6RV7FILWHWLO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DF6LPE7D5DDRPM6RV7FILWHWLO/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":"2026-07-09T04:18:08Z","links":{"resolver":"https://pith.science/pith/DF6LPE7D5DDRPM6RV7FILWHWLO","bundle":"https://pith.science/pith/DF6LPE7D5DDRPM6RV7FILWHWLO/bundle.json","state":"https://pith.science/pith/DF6LPE7D5DDRPM6RV7FILWHWLO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DF6LPE7D5DDRPM6RV7FILWHWLO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DF6LPE7D5DDRPM6RV7FILWHWLO","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":"4ffff69d4fcdcb62f5d0e52ad48c9d55af295c4c86f1ef942e9104e322006972","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-09T15:40:09Z","title_canon_sha256":"649207b63ab5c39aa490c16b005b3203a23c5c9deb20e7a932ae9477e895b8de"},"schema_version":"1.0","source":{"id":"2505.06133","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.06133","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"arxiv_version","alias_value":"2505.06133v2","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.06133","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"pith_short_12","alias_value":"DF6LPE7D5DDR","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"pith_short_16","alias_value":"DF6LPE7D5DDRPM6R","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"pith_short_8","alias_value":"DF6LPE7D","created_at":"2026-07-05T11:49:10Z"}],"graph_snapshots":[{"event_id":"sha256:dc12a331532214835ed554f82076dd39f437f54f2d098ab69202f38adcd01aaf","target":"graph","created_at":"2026-07-05T11:49:10Z","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/2505.06133/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The segmentation of substantial brain lesions is a significant and challenging task in the field of medical image segmentation. Substantial brain lesions in brain imaging exhibit high heterogeneity, with indistinct boundaries between lesion regions and normal brain tissue. Small lesions in single slices are difficult to identify, making the accurate and reproducible segmentation of abnormal regions, as well as their feature description, highly complex. Existing methods have the following limitations: 1) They rely solely on single-modal information for learning, neglecting the multi-modal infor","authors_text":"Hao Zheng, Hongming Wang, Hongtao Wu, Huimin Huang, Jia-Xuan Jiang, Jing Cheng, Jinping Xu, Xian Wu, Xiaodong Zhang, Yefeng Zheng, Yifeng Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-09T15:40:09Z","title":"BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.06133","kind":"arxiv","version":2},"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":"sha256:8a99ecd842a769e4cc6e90ce6a2387c87e877ddd39ef8829c05c3c4abe8e3c0c","target":"record","created_at":"2026-07-05T11:49:10Z","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":"4ffff69d4fcdcb62f5d0e52ad48c9d55af295c4c86f1ef942e9104e322006972","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-09T15:40:09Z","title_canon_sha256":"649207b63ab5c39aa490c16b005b3203a23c5c9deb20e7a932ae9477e895b8de"},"schema_version":"1.0","source":{"id":"2505.06133","kind":"arxiv","version":2}},"canonical_sha256":"197cb793e3e8c717b3d1afca85d8f65bbf13f8d1d5bcb7e522f4f5562bec80c1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"197cb793e3e8c717b3d1afca85d8f65bbf13f8d1d5bcb7e522f4f5562bec80c1","first_computed_at":"2026-07-05T11:49:10.074613Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:49:10.074613Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rnmJSlmsk4XVPw3MflQ8NdXuj+Ogt1eXXk2YQs5yuyH0M5BpfEnEMPpyzPaxaGsjiCnwWijuHvXflmqr41t1Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:49:10.075075Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.06133","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8a99ecd842a769e4cc6e90ce6a2387c87e877ddd39ef8829c05c3c4abe8e3c0c","sha256:dc12a331532214835ed554f82076dd39f437f54f2d098ab69202f38adcd01aaf"],"state_sha256":"a0c250e095a776addfebeb048d020f5ecbd33a59a1db42ae57a0b26afb2c5dd2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J6Z0TKbX6nto4+p1D+AIEWwMw2hfayrWQ8cWNSoO1AHq1CpGlR0IzhiH82k/K1gFeQZ4tuGLqHkNo87D11/6Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T04:18:08.663398Z","bundle_sha256":"176f3795d26bcd40ddfd7d466e4df3510a208503ebba7e27bdb693618ad672a3"}}