{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JGAQJZ3N3Q5QTIJU7IEUFULU2P","short_pith_number":"pith:JGAQJZ3N","canonical_record":{"source":{"id":"2506.12441","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-14T10:34:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3b0e9f558910fbb080e1d42ec6f588325d5afd7b36c0df7a8f834f700c849a96","abstract_canon_sha256":"74ed214fe00c14acf8768077c942d63c6c8cbc6db279c5174b7f1fab2e3062f3"},"schema_version":"1.0"},"canonical_sha256":"498104e76ddc3b09a134fa0942d174d3c2aca2060059a360ece3658381597517","source":{"kind":"arxiv","id":"2506.12441","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.12441","created_at":"2026-07-05T11:21:53Z"},{"alias_kind":"arxiv_version","alias_value":"2506.12441v1","created_at":"2026-07-05T11:21:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.12441","created_at":"2026-07-05T11:21:53Z"},{"alias_kind":"pith_short_12","alias_value":"JGAQJZ3N3Q5Q","created_at":"2026-07-05T11:21:53Z"},{"alias_kind":"pith_short_16","alias_value":"JGAQJZ3N3Q5QTIJU","created_at":"2026-07-05T11:21:53Z"},{"alias_kind":"pith_short_8","alias_value":"JGAQJZ3N","created_at":"2026-07-05T11:21:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JGAQJZ3N3Q5QTIJU7IEUFULU2P","target":"record","payload":{"canonical_record":{"source":{"id":"2506.12441","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-14T10:34:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3b0e9f558910fbb080e1d42ec6f588325d5afd7b36c0df7a8f834f700c849a96","abstract_canon_sha256":"74ed214fe00c14acf8768077c942d63c6c8cbc6db279c5174b7f1fab2e3062f3"},"schema_version":"1.0"},"canonical_sha256":"498104e76ddc3b09a134fa0942d174d3c2aca2060059a360ece3658381597517","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:21:53.475556Z","signature_b64":"p+FIDfGTR+J1VNf0wJXoEg69l9G2j24Qd3/0AhvrmKVdyeWyLP7JkohSCSPgBKO277DPBte5mBFtJq1OuL3mDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"498104e76ddc3b09a134fa0942d174d3c2aca2060059a360ece3658381597517","last_reissued_at":"2026-07-05T11:21:53.475039Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:21:53.475039Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.12441","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":"2026-07-05T11:21:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BK/qqqWh7vpc8wL3GKcohzXhCCD5gz9+7HFypfgC6OtpC3+nfkVma5fZ1ppKH99fyDhGQACeyDqcuQIaa00aAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T17:34:08.892631Z"},"content_sha256":"483045d4baa78a384b2fcd3e582280a38ccdad96425138fb10a44e021e8ba82c","schema_version":"1.0","event_id":"sha256:483045d4baa78a384b2fcd3e582280a38ccdad96425138fb10a44e021e8ba82c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JGAQJZ3N3Q5QTIJU7IEUFULU2P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Bocheng Liang, Caixu Xu, Huizhen Chen, Junming Wei, Pengchen Liang, Xintong Wei, Ying Tan","submitted_at":"2025-06-14T10:34:10Z","abstract_excerpt":"Recently, Mamba-based methods have become popular in medical image segmentation due to their lightweight design and long-range dependency modeling capabilities. However, current segmentation methods frequently encounter challenges in fetal ultrasound images, such as enclosed anatomical structures, blurred boundaries, and small anatomical structures. To address the need for balancing local feature extraction and global context modeling, we propose MS-UMamba, a novel hybrid convolutional-mamba model for fetal ultrasound image segmentation. Specifically, we design a visual state space block integ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.12441","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/2506.12441/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":"2026-07-05T11:21:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SDMPKbtJwf/QPVgPoS9fN3GrLFZvJjyffVjeXHn3e+E01fnghXyHB1BtTjvelb5ff4HAAgbR1igGr7El0FbpBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T17:34:08.893158Z"},"content_sha256":"371af1d7d8794d877661166047db4ccc622e50581a7406e75b6e7c7560919f76","schema_version":"1.0","event_id":"sha256:371af1d7d8794d877661166047db4ccc622e50581a7406e75b6e7c7560919f76"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JGAQJZ3N3Q5QTIJU7IEUFULU2P/bundle.json","state_url":"https://pith.science/pith/JGAQJZ3N3Q5QTIJU7IEUFULU2P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JGAQJZ3N3Q5QTIJU7IEUFULU2P/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":"2026-08-21T17:34:08Z","links":{"resolver":"https://pith.science/pith/JGAQJZ3N3Q5QTIJU7IEUFULU2P","bundle":"https://pith.science/pith/JGAQJZ3N3Q5QTIJU7IEUFULU2P/bundle.json","state":"https://pith.science/pith/JGAQJZ3N3Q5QTIJU7IEUFULU2P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JGAQJZ3N3Q5QTIJU7IEUFULU2P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JGAQJZ3N3Q5QTIJU7IEUFULU2P","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":"74ed214fe00c14acf8768077c942d63c6c8cbc6db279c5174b7f1fab2e3062f3","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-14T10:34:10Z","title_canon_sha256":"3b0e9f558910fbb080e1d42ec6f588325d5afd7b36c0df7a8f834f700c849a96"},"schema_version":"1.0","source":{"id":"2506.12441","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.12441","created_at":"2026-07-05T11:21:53Z"},{"alias_kind":"arxiv_version","alias_value":"2506.12441v1","created_at":"2026-07-05T11:21:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.12441","created_at":"2026-07-05T11:21:53Z"},{"alias_kind":"pith_short_12","alias_value":"JGAQJZ3N3Q5Q","created_at":"2026-07-05T11:21:53Z"},{"alias_kind":"pith_short_16","alias_value":"JGAQJZ3N3Q5QTIJU","created_at":"2026-07-05T11:21:53Z"},{"alias_kind":"pith_short_8","alias_value":"JGAQJZ3N","created_at":"2026-07-05T11:21:53Z"}],"graph_snapshots":[{"event_id":"sha256:371af1d7d8794d877661166047db4ccc622e50581a7406e75b6e7c7560919f76","target":"graph","created_at":"2026-07-05T11:21:53Z","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/2506.12441/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, Mamba-based methods have become popular in medical image segmentation due to their lightweight design and long-range dependency modeling capabilities. However, current segmentation methods frequently encounter challenges in fetal ultrasound images, such as enclosed anatomical structures, blurred boundaries, and small anatomical structures. To address the need for balancing local feature extraction and global context modeling, we propose MS-UMamba, a novel hybrid convolutional-mamba model for fetal ultrasound image segmentation. Specifically, we design a visual state space block integ","authors_text":"Bocheng Liang, Caixu Xu, Huizhen Chen, Junming Wei, Pengchen Liang, Xintong Wei, Ying Tan","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-14T10:34:10Z","title":"MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.12441","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":"sha256:483045d4baa78a384b2fcd3e582280a38ccdad96425138fb10a44e021e8ba82c","target":"record","created_at":"2026-07-05T11:21:53Z","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":"74ed214fe00c14acf8768077c942d63c6c8cbc6db279c5174b7f1fab2e3062f3","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-14T10:34:10Z","title_canon_sha256":"3b0e9f558910fbb080e1d42ec6f588325d5afd7b36c0df7a8f834f700c849a96"},"schema_version":"1.0","source":{"id":"2506.12441","kind":"arxiv","version":1}},"canonical_sha256":"498104e76ddc3b09a134fa0942d174d3c2aca2060059a360ece3658381597517","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"498104e76ddc3b09a134fa0942d174d3c2aca2060059a360ece3658381597517","first_computed_at":"2026-07-05T11:21:53.475039Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:21:53.475039Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p+FIDfGTR+J1VNf0wJXoEg69l9G2j24Qd3/0AhvrmKVdyeWyLP7JkohSCSPgBKO277DPBte5mBFtJq1OuL3mDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:21:53.475556Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.12441","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:483045d4baa78a384b2fcd3e582280a38ccdad96425138fb10a44e021e8ba82c","sha256:371af1d7d8794d877661166047db4ccc622e50581a7406e75b6e7c7560919f76"],"state_sha256":"9ff5e16d2c16f4f7a03892c7673bcdb64a069f34fb7cf6f36b358365887dfb72"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KUeGG9yHsrlRWvf42Q7nvOpd93TqfHs1XeMhxAqBK8i1kte6RGY/pGbCPnj38DwC14f82T81dquJiIQw0vsOAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T17:34:08.898184Z","bundle_sha256":"a198d5420877cc69fcadc70cb6cc768c2933c7589913c3cfcb1df1815a26ccad"}}