{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WPOGOE4SEKW5SF6R4IQLK4RW26","short_pith_number":"pith:WPOGOE4S","canonical_record":{"source":{"id":"2411.15872","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-11-24T15:19:19Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"9768c57c10f17c29bf23c33fdc53f0d511de915969fe8ce90037dfa724bd95b0","abstract_canon_sha256":"3caa0169ba48c9bd9a1587d202fb73ccdbe3e10d06f88ce64a2ee1c61c23a706"},"schema_version":"1.0"},"canonical_sha256":"b3dc67139222add917d1e220b57236d7b10d6d067bc60775d1a0d07be186f1ae","source":{"kind":"arxiv","id":"2411.15872","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.15872","created_at":"2026-07-05T09:40:45Z"},{"alias_kind":"arxiv_version","alias_value":"2411.15872v2","created_at":"2026-07-05T09:40:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.15872","created_at":"2026-07-05T09:40:45Z"},{"alias_kind":"pith_short_12","alias_value":"WPOGOE4SEKW5","created_at":"2026-07-05T09:40:45Z"},{"alias_kind":"pith_short_16","alias_value":"WPOGOE4SEKW5SF6R","created_at":"2026-07-05T09:40:45Z"},{"alias_kind":"pith_short_8","alias_value":"WPOGOE4S","created_at":"2026-07-05T09:40:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WPOGOE4SEKW5SF6R4IQLK4RW26","target":"record","payload":{"canonical_record":{"source":{"id":"2411.15872","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-11-24T15:19:19Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"9768c57c10f17c29bf23c33fdc53f0d511de915969fe8ce90037dfa724bd95b0","abstract_canon_sha256":"3caa0169ba48c9bd9a1587d202fb73ccdbe3e10d06f88ce64a2ee1c61c23a706"},"schema_version":"1.0"},"canonical_sha256":"b3dc67139222add917d1e220b57236d7b10d6d067bc60775d1a0d07be186f1ae","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:40:45.137574Z","signature_b64":"Pfr+V0npE9p1mvPkOycIvAAU6dyp7GD6WFR91wPRqBWFWNkJsNpkMdnsYkv2yw8crMeFKKwjtm68QkbHKRKBDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3dc67139222add917d1e220b57236d7b10d6d067bc60775d1a0d07be186f1ae","last_reissued_at":"2026-07-05T09:40:45.137145Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:40:45.137145Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.15872","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":"2026-07-05T09:40:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"91zC2zfW+lQMHItynTah2mnTnwfHmTgig8kcJHMugSrkECDCn773DOdI/oksO13tHvGcxOGZYDwQaJWtVDriDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T04:21:59.176271Z"},"content_sha256":"b4f77290d8b172a83a19b733e2f8ca6db207e05b787c7c4273021538ddf7f7ac","schema_version":"1.0","event_id":"sha256:b4f77290d8b172a83a19b733e2f8ca6db207e05b787c7c4273021538ddf7f7ac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WPOGOE4SEKW5SF6R4IQLK4RW26","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Optimizing Brain Tumor Segmentation with MedNeXt: BraTS 2024 SSA and Pediatrics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Abdelrahman Elsayed, Alikhan Nurkamal, Dinesh Saggurthi, Fadillah Adamsyah Maani, Jaskaran Walia, Juan Lugo, Mohammad Yaqub, Mohammed Elseiagy, Sarim Hashmi","submitted_at":"2024-11-24T15:19:19Z","abstract_excerpt":"Identifying key pathological features in brain MRIs is crucial for the long-term survival of glioma patients. However, manual segmentation is time-consuming, requiring expert intervention and is susceptible to human error. Therefore, significant research has been devoted to developing machine learning methods that can accurately segment tumors in 3D multimodal brain MRI scans. Despite their progress, state-of-the-art models are often limited by the data they are trained on, raising concerns about their reliability when applied to diverse populations that may introduce distribution shifts. Such"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.15872","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/2411.15872/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":"2026-07-05T09:40:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u+JXQsYV97Owl12NO7gSBN6U/AinrxF66uSkxffR0FAaG+TSDKUMnGwT9Sl1X0zplsBzgu1YJ2HD0Ia60PMuAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T04:21:59.176669Z"},"content_sha256":"61d10c178cec0b5e0fd4db3779762d7aa31825ca61107575b8c6f256c39f5b2e","schema_version":"1.0","event_id":"sha256:61d10c178cec0b5e0fd4db3779762d7aa31825ca61107575b8c6f256c39f5b2e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WPOGOE4SEKW5SF6R4IQLK4RW26/bundle.json","state_url":"https://pith.science/pith/WPOGOE4SEKW5SF6R4IQLK4RW26/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WPOGOE4SEKW5SF6R4IQLK4RW26/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":"2026-08-13T04:21:59Z","links":{"resolver":"https://pith.science/pith/WPOGOE4SEKW5SF6R4IQLK4RW26","bundle":"https://pith.science/pith/WPOGOE4SEKW5SF6R4IQLK4RW26/bundle.json","state":"https://pith.science/pith/WPOGOE4SEKW5SF6R4IQLK4RW26/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WPOGOE4SEKW5SF6R4IQLK4RW26/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WPOGOE4SEKW5SF6R4IQLK4RW26","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":"3caa0169ba48c9bd9a1587d202fb73ccdbe3e10d06f88ce64a2ee1c61c23a706","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-11-24T15:19:19Z","title_canon_sha256":"9768c57c10f17c29bf23c33fdc53f0d511de915969fe8ce90037dfa724bd95b0"},"schema_version":"1.0","source":{"id":"2411.15872","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.15872","created_at":"2026-07-05T09:40:45Z"},{"alias_kind":"arxiv_version","alias_value":"2411.15872v2","created_at":"2026-07-05T09:40:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.15872","created_at":"2026-07-05T09:40:45Z"},{"alias_kind":"pith_short_12","alias_value":"WPOGOE4SEKW5","created_at":"2026-07-05T09:40:45Z"},{"alias_kind":"pith_short_16","alias_value":"WPOGOE4SEKW5SF6R","created_at":"2026-07-05T09:40:45Z"},{"alias_kind":"pith_short_8","alias_value":"WPOGOE4S","created_at":"2026-07-05T09:40:45Z"}],"graph_snapshots":[{"event_id":"sha256:61d10c178cec0b5e0fd4db3779762d7aa31825ca61107575b8c6f256c39f5b2e","target":"graph","created_at":"2026-07-05T09:40:45Z","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/2411.15872/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Identifying key pathological features in brain MRIs is crucial for the long-term survival of glioma patients. However, manual segmentation is time-consuming, requiring expert intervention and is susceptible to human error. Therefore, significant research has been devoted to developing machine learning methods that can accurately segment tumors in 3D multimodal brain MRI scans. Despite their progress, state-of-the-art models are often limited by the data they are trained on, raising concerns about their reliability when applied to diverse populations that may introduce distribution shifts. Such","authors_text":"Abdelrahman Elsayed, Alikhan Nurkamal, Dinesh Saggurthi, Fadillah Adamsyah Maani, Jaskaran Walia, Juan Lugo, Mohammad Yaqub, Mohammed Elseiagy, Sarim Hashmi","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-11-24T15:19:19Z","title":"Optimizing Brain Tumor Segmentation with MedNeXt: BraTS 2024 SSA and Pediatrics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.15872","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:b4f77290d8b172a83a19b733e2f8ca6db207e05b787c7c4273021538ddf7f7ac","target":"record","created_at":"2026-07-05T09:40:45Z","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":"3caa0169ba48c9bd9a1587d202fb73ccdbe3e10d06f88ce64a2ee1c61c23a706","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-11-24T15:19:19Z","title_canon_sha256":"9768c57c10f17c29bf23c33fdc53f0d511de915969fe8ce90037dfa724bd95b0"},"schema_version":"1.0","source":{"id":"2411.15872","kind":"arxiv","version":2}},"canonical_sha256":"b3dc67139222add917d1e220b57236d7b10d6d067bc60775d1a0d07be186f1ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3dc67139222add917d1e220b57236d7b10d6d067bc60775d1a0d07be186f1ae","first_computed_at":"2026-07-05T09:40:45.137145Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:40:45.137145Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Pfr+V0npE9p1mvPkOycIvAAU6dyp7GD6WFR91wPRqBWFWNkJsNpkMdnsYkv2yw8crMeFKKwjtm68QkbHKRKBDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:40:45.137574Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.15872","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b4f77290d8b172a83a19b733e2f8ca6db207e05b787c7c4273021538ddf7f7ac","sha256:61d10c178cec0b5e0fd4db3779762d7aa31825ca61107575b8c6f256c39f5b2e"],"state_sha256":"f297c667dfe28b6ebcf2bc492e83b9b94bf0129789def4e3bc05b7a3af4db4a7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e8GlLDHlNfukBp/XLMB06HeQLdZ3lNvVSs/baOl4GTyF/NJ0ZaS+Tj2Jsi7vkri1j3/0nmAoenHaKNZ9CRpSBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T04:21:59.179158Z","bundle_sha256":"eeef4eee4902b5582753323015f44f507ed77e193c06380657d83072f4bc9c00"}}