{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:AKABTU4M77CJB7IBBHHOUJIZPH","short_pith_number":"pith:AKABTU4M","canonical_record":{"source":{"id":"2506.22467","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2025-06-18T16:42:01Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"b354173c361da07bc5e0d75128960054188135f60823b5d0f3178a4e246a0c47","abstract_canon_sha256":"32d2248b2411c293c9e441b845eac4e8b5f7e66f74366c8e582fff235594d57d"},"schema_version":"1.0"},"canonical_sha256":"028019d38cffc490fd0109ceea251979d163e8903852e0a68b36bb59a7b6ed60","source":{"kind":"arxiv","id":"2506.22467","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.22467","created_at":"2026-07-05T11:28:39Z"},{"alias_kind":"arxiv_version","alias_value":"2506.22467v1","created_at":"2026-07-05T11:28:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.22467","created_at":"2026-07-05T11:28:39Z"},{"alias_kind":"pith_short_12","alias_value":"AKABTU4M77CJ","created_at":"2026-07-05T11:28:39Z"},{"alias_kind":"pith_short_16","alias_value":"AKABTU4M77CJB7IB","created_at":"2026-07-05T11:28:39Z"},{"alias_kind":"pith_short_8","alias_value":"AKABTU4M","created_at":"2026-07-05T11:28:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:AKABTU4M77CJB7IBBHHOUJIZPH","target":"record","payload":{"canonical_record":{"source":{"id":"2506.22467","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2025-06-18T16:42:01Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"b354173c361da07bc5e0d75128960054188135f60823b5d0f3178a4e246a0c47","abstract_canon_sha256":"32d2248b2411c293c9e441b845eac4e8b5f7e66f74366c8e582fff235594d57d"},"schema_version":"1.0"},"canonical_sha256":"028019d38cffc490fd0109ceea251979d163e8903852e0a68b36bb59a7b6ed60","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:28:39.065244Z","signature_b64":"UIkaGtDBwcBNbw4U2I2/s5ZOOFsaIhoKektQWXTD3VxRd4vv1rUsN5Mex2u7dyoxki+THrwcZBIZyj1xHBmbCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"028019d38cffc490fd0109ceea251979d163e8903852e0a68b36bb59a7b6ed60","last_reissued_at":"2026-07-05T11:28:39.064589Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:28:39.064589Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.22467","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":"2026-07-05T11:28:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7jxFHy9tI0FwrGUHaY76S8lwnMo9X5H51reLMC67CaL0U9a1NHVuOzrYvmB6JnPsdgAxmyNttt3G7752aPv8Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T23:06:17.746514Z"},"content_sha256":"9f40e0312c209c8eed6f4c4d41b4378d02ed85e72efc836c86cd5eddefdc6cc5","schema_version":"1.0","event_id":"sha256:9f40e0312c209c8eed6f4c4d41b4378d02ed85e72efc836c86cd5eddefdc6cc5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:AKABTU4M77CJB7IBBHHOUJIZPH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.SP","authors_text":"Adrian Camarena, Hanxue Gu, Haoyu Dong, Jichen Yang, Jikai Zhang, Jisoo Lee, Joseph Cao, Lin Li, Maciej A. Mazurowski, Nicholas Konz, Roy Colglazier, Yaqian Chen, Yuwen Chen, Zafer Yildiz, Zhonghao Liu","submitted_at":"2025-06-18T16:42:01Z","abstract_excerpt":"The quantity and quality of muscles are increasingly recognized as important predictors of health outcomes. While MRI offers a valuable modality for such assessments, obtaining precise quantitative measurements of musculature remains challenging. This study aimed to develop a publicly available model for muscle segmentation in MRIs and demonstrate its applicability across various anatomical locations and imaging sequences. A total of 362 MRIs from 160 patients at a single tertiary center (Duke University Health System, 2016-2020) were included, with 316 MRIs from 114 patients used for model de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.22467","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/2506.22467/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":"2026-07-05T11:28:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8dHkuRAKWyrPcPnuhUCPan6iHHo8cN6gHGBa3v30twdN65Z6UEQYaIMP1HAKVhHmvWr21dwwkrykfEETNzAiAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T23:06:17.746999Z"},"content_sha256":"6c89bcc2f8768aafa772fe90c4ee50b3581b21a23c2ad4968eea547c1fa6e1df","schema_version":"1.0","event_id":"sha256:6c89bcc2f8768aafa772fe90c4ee50b3581b21a23c2ad4968eea547c1fa6e1df"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AKABTU4M77CJB7IBBHHOUJIZPH/bundle.json","state_url":"https://pith.science/pith/AKABTU4M77CJB7IBBHHOUJIZPH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AKABTU4M77CJB7IBBHHOUJIZPH/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":"2026-08-10T23:06:17Z","links":{"resolver":"https://pith.science/pith/AKABTU4M77CJB7IBBHHOUJIZPH","bundle":"https://pith.science/pith/AKABTU4M77CJB7IBBHHOUJIZPH/bundle.json","state":"https://pith.science/pith/AKABTU4M77CJB7IBBHHOUJIZPH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AKABTU4M77CJB7IBBHHOUJIZPH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AKABTU4M77CJB7IBBHHOUJIZPH","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":"32d2248b2411c293c9e441b845eac4e8b5f7e66f74366c8e582fff235594d57d","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2025-06-18T16:42:01Z","title_canon_sha256":"b354173c361da07bc5e0d75128960054188135f60823b5d0f3178a4e246a0c47"},"schema_version":"1.0","source":{"id":"2506.22467","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.22467","created_at":"2026-07-05T11:28:39Z"},{"alias_kind":"arxiv_version","alias_value":"2506.22467v1","created_at":"2026-07-05T11:28:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.22467","created_at":"2026-07-05T11:28:39Z"},{"alias_kind":"pith_short_12","alias_value":"AKABTU4M77CJ","created_at":"2026-07-05T11:28:39Z"},{"alias_kind":"pith_short_16","alias_value":"AKABTU4M77CJB7IB","created_at":"2026-07-05T11:28:39Z"},{"alias_kind":"pith_short_8","alias_value":"AKABTU4M","created_at":"2026-07-05T11:28:39Z"}],"graph_snapshots":[{"event_id":"sha256:6c89bcc2f8768aafa772fe90c4ee50b3581b21a23c2ad4968eea547c1fa6e1df","target":"graph","created_at":"2026-07-05T11:28:39Z","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/2506.22467/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The quantity and quality of muscles are increasingly recognized as important predictors of health outcomes. While MRI offers a valuable modality for such assessments, obtaining precise quantitative measurements of musculature remains challenging. This study aimed to develop a publicly available model for muscle segmentation in MRIs and demonstrate its applicability across various anatomical locations and imaging sequences. A total of 362 MRIs from 160 patients at a single tertiary center (Duke University Health System, 2016-2020) were included, with 316 MRIs from 114 patients used for model de","authors_text":"Adrian Camarena, Hanxue Gu, Haoyu Dong, Jichen Yang, Jikai Zhang, Jisoo Lee, Joseph Cao, Lin Li, Maciej A. Mazurowski, Nicholas Konz, Roy Colglazier, Yaqian Chen, Yuwen Chen, Zafer Yildiz, Zhonghao Liu","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2025-06-18T16:42:01Z","title":"SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.22467","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":"sha256:9f40e0312c209c8eed6f4c4d41b4378d02ed85e72efc836c86cd5eddefdc6cc5","target":"record","created_at":"2026-07-05T11:28:39Z","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":"32d2248b2411c293c9e441b845eac4e8b5f7e66f74366c8e582fff235594d57d","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2025-06-18T16:42:01Z","title_canon_sha256":"b354173c361da07bc5e0d75128960054188135f60823b5d0f3178a4e246a0c47"},"schema_version":"1.0","source":{"id":"2506.22467","kind":"arxiv","version":1}},"canonical_sha256":"028019d38cffc490fd0109ceea251979d163e8903852e0a68b36bb59a7b6ed60","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"028019d38cffc490fd0109ceea251979d163e8903852e0a68b36bb59a7b6ed60","first_computed_at":"2026-07-05T11:28:39.064589Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:28:39.064589Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UIkaGtDBwcBNbw4U2I2/s5ZOOFsaIhoKektQWXTD3VxRd4vv1rUsN5Mex2u7dyoxki+THrwcZBIZyj1xHBmbCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:28:39.065244Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.22467","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9f40e0312c209c8eed6f4c4d41b4378d02ed85e72efc836c86cd5eddefdc6cc5","sha256:6c89bcc2f8768aafa772fe90c4ee50b3581b21a23c2ad4968eea547c1fa6e1df"],"state_sha256":"686e251e8fda9149830ab0195a53bcfbe5631418056fb6cead54175c2912f3a6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sbbtl5IkwYZrBQPTLZ5BkXBzbIgETc2VrIKVcu3kWU/528u/lqsulSJ/qWJ1qduXMMqU8Dffmvtp1NimyQZPCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T23:06:17.751406Z","bundle_sha256":"d25d03f25e0e414912e11423207baedfb94ca652527488aaedbe99ee2a0128b6"}}