{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XXYSSG6QA6O27ZUWPIC3MGO4PL","short_pith_number":"pith:XXYSSG6Q","canonical_record":{"source":{"id":"2407.20461","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-29T23:40:13Z","cross_cats_sorted":[],"title_canon_sha256":"0a359e35e5de881a5b647f8d3987eebe5cd34b3fefeb9a6d32fcc32636f0532e","abstract_canon_sha256":"12944ee52efcb19edf9527eec056dae1607e0a2bd885355f6e59ea7786c05c5a"},"schema_version":"1.0"},"canonical_sha256":"bdf1291bd0079dafe6967a05b619dc7ad954b962fa1b4afbd87b825d54d71a9a","source":{"kind":"arxiv","id":"2407.20461","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.20461","created_at":"2026-07-05T09:03:01Z"},{"alias_kind":"arxiv_version","alias_value":"2407.20461v3","created_at":"2026-07-05T09:03:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.20461","created_at":"2026-07-05T09:03:01Z"},{"alias_kind":"pith_short_12","alias_value":"XXYSSG6QA6O2","created_at":"2026-07-05T09:03:01Z"},{"alias_kind":"pith_short_16","alias_value":"XXYSSG6QA6O27ZUW","created_at":"2026-07-05T09:03:01Z"},{"alias_kind":"pith_short_8","alias_value":"XXYSSG6Q","created_at":"2026-07-05T09:03:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XXYSSG6QA6O27ZUWPIC3MGO4PL","target":"record","payload":{"canonical_record":{"source":{"id":"2407.20461","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-29T23:40:13Z","cross_cats_sorted":[],"title_canon_sha256":"0a359e35e5de881a5b647f8d3987eebe5cd34b3fefeb9a6d32fcc32636f0532e","abstract_canon_sha256":"12944ee52efcb19edf9527eec056dae1607e0a2bd885355f6e59ea7786c05c5a"},"schema_version":"1.0"},"canonical_sha256":"bdf1291bd0079dafe6967a05b619dc7ad954b962fa1b4afbd87b825d54d71a9a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:03:01.806040Z","signature_b64":"knYcKjCr8QBMMVkGBdN973TGr8rN6Xxtee6525ktjs5WciL5ny5RbLS8trc1tG3VDYZBz231jOndVIA+3QpxCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bdf1291bd0079dafe6967a05b619dc7ad954b962fa1b4afbd87b825d54d71a9a","last_reissued_at":"2026-07-05T09:03:01.805594Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:03:01.805594Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.20461","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:03:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Paik0zg+9d3tHfFQ7i/Xz+NSXXNfEVIE+B3OAy0EbsOMEqSNgKY7ImeSCbT1Tb9Je9WqTatZQ3QDYJiwctXqAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T15:39:36.844704Z"},"content_sha256":"57e6cb31dbdf06c762be1eb8a1c1bb43b6d745baaa485c1abbbb9b28ecc086cd","schema_version":"1.0","event_id":"sha256:57e6cb31dbdf06c762be1eb8a1c1bb43b6d745baaa485c1abbbb9b28ecc086cd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XXYSSG6QA6O27ZUWPIC3MGO4PL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Weakly Supervised Intracranial Hemorrhage Segmentation with YOLO and an Uncertainty Rectified Segment Anything Model","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Amirhossein Rasoulian, Pascal Spiegler, Yiming Xiao","submitted_at":"2024-07-29T23:40:13Z","abstract_excerpt":"Intracranial hemorrhage (ICH) is a life-threatening condition that requires rapid and accurate diagnosis to improve treatment outcomes and patient survival rates. Recent advancements in supervised deep learning have greatly improved the analysis of medical images, but often rely on extensive datasets with high-quality annotations, which are costly, time-consuming, and require medical expertise to prepare. To mitigate the need for large amounts of expert-prepared segmentation data, we have developed a novel weakly supervised ICH segmentation method that utilizes the YOLO object detection model "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.20461","kind":"arxiv","version":3},"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/2407.20461/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":"2026-07-05T09:03:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l/Lzc91YJhiq4rLNGYbZ09zHB3weyo92a02GiBU/2cMjsnzj1b/QaQsApLWGrNC4Uhgo1PG8Nw6/mbSWVk6oAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T15:39:36.845206Z"},"content_sha256":"0f3d7bf11755bf97e3098a8a0f6d3c611ccd07f0bda2b868126c4426e5e77f57","schema_version":"1.0","event_id":"sha256:0f3d7bf11755bf97e3098a8a0f6d3c611ccd07f0bda2b868126c4426e5e77f57"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XXYSSG6QA6O27ZUWPIC3MGO4PL/bundle.json","state_url":"https://pith.science/pith/XXYSSG6QA6O27ZUWPIC3MGO4PL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XXYSSG6QA6O27ZUWPIC3MGO4PL/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":"2026-08-12T15:39:36Z","links":{"resolver":"https://pith.science/pith/XXYSSG6QA6O27ZUWPIC3MGO4PL","bundle":"https://pith.science/pith/XXYSSG6QA6O27ZUWPIC3MGO4PL/bundle.json","state":"https://pith.science/pith/XXYSSG6QA6O27ZUWPIC3MGO4PL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XXYSSG6QA6O27ZUWPIC3MGO4PL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XXYSSG6QA6O27ZUWPIC3MGO4PL","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":"12944ee52efcb19edf9527eec056dae1607e0a2bd885355f6e59ea7786c05c5a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-29T23:40:13Z","title_canon_sha256":"0a359e35e5de881a5b647f8d3987eebe5cd34b3fefeb9a6d32fcc32636f0532e"},"schema_version":"1.0","source":{"id":"2407.20461","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.20461","created_at":"2026-07-05T09:03:01Z"},{"alias_kind":"arxiv_version","alias_value":"2407.20461v3","created_at":"2026-07-05T09:03:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.20461","created_at":"2026-07-05T09:03:01Z"},{"alias_kind":"pith_short_12","alias_value":"XXYSSG6QA6O2","created_at":"2026-07-05T09:03:01Z"},{"alias_kind":"pith_short_16","alias_value":"XXYSSG6QA6O27ZUW","created_at":"2026-07-05T09:03:01Z"},{"alias_kind":"pith_short_8","alias_value":"XXYSSG6Q","created_at":"2026-07-05T09:03:01Z"}],"graph_snapshots":[{"event_id":"sha256:0f3d7bf11755bf97e3098a8a0f6d3c611ccd07f0bda2b868126c4426e5e77f57","target":"graph","created_at":"2026-07-05T09:03:01Z","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/2407.20461/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Intracranial hemorrhage (ICH) is a life-threatening condition that requires rapid and accurate diagnosis to improve treatment outcomes and patient survival rates. Recent advancements in supervised deep learning have greatly improved the analysis of medical images, but often rely on extensive datasets with high-quality annotations, which are costly, time-consuming, and require medical expertise to prepare. To mitigate the need for large amounts of expert-prepared segmentation data, we have developed a novel weakly supervised ICH segmentation method that utilizes the YOLO object detection model ","authors_text":"Amirhossein Rasoulian, Pascal Spiegler, Yiming Xiao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-29T23:40:13Z","title":"Weakly Supervised Intracranial Hemorrhage Segmentation with YOLO and an Uncertainty Rectified Segment Anything Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.20461","kind":"arxiv","version":3},"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":"sha256:57e6cb31dbdf06c762be1eb8a1c1bb43b6d745baaa485c1abbbb9b28ecc086cd","target":"record","created_at":"2026-07-05T09:03:01Z","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":"12944ee52efcb19edf9527eec056dae1607e0a2bd885355f6e59ea7786c05c5a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-29T23:40:13Z","title_canon_sha256":"0a359e35e5de881a5b647f8d3987eebe5cd34b3fefeb9a6d32fcc32636f0532e"},"schema_version":"1.0","source":{"id":"2407.20461","kind":"arxiv","version":3}},"canonical_sha256":"bdf1291bd0079dafe6967a05b619dc7ad954b962fa1b4afbd87b825d54d71a9a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bdf1291bd0079dafe6967a05b619dc7ad954b962fa1b4afbd87b825d54d71a9a","first_computed_at":"2026-07-05T09:03:01.805594Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:03:01.805594Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"knYcKjCr8QBMMVkGBdN973TGr8rN6Xxtee6525ktjs5WciL5ny5RbLS8trc1tG3VDYZBz231jOndVIA+3QpxCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:03:01.806040Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.20461","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:57e6cb31dbdf06c762be1eb8a1c1bb43b6d745baaa485c1abbbb9b28ecc086cd","sha256:0f3d7bf11755bf97e3098a8a0f6d3c611ccd07f0bda2b868126c4426e5e77f57"],"state_sha256":"458175f1614a577f328d97000f0fd8dd109f681f2f0f0109bb25eb168ef86db9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8Cz1r8xtizQBo6nfeu7YRAPgr7iw/FVTOtXJ6lCkeE7nZEWfXyT5bEfH2DnrU5NFZzkkBF15Bz8nmQkjasZkAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T15:39:36.849381Z","bundle_sha256":"dd647579b46717a8b21391401ec0ea6123b19766ec3b0b4cbd9a34214c61768c"}}