{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:EBENMEM7HFYWS43ET5QB4J4Y6X","short_pith_number":"pith:EBENMEM7","canonical_record":{"source":{"id":"2502.20637","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-28T01:36:38Z","cross_cats_sorted":[],"title_canon_sha256":"8586f5aa521b1adeebf81e3e423e238c77b29f0eec32d8401fbf73b484600509","abstract_canon_sha256":"bfa7905e651eef670682b2188f750cc9b3942cc9fba3f50bd3ac722d6ef63f50"},"schema_version":"1.0"},"canonical_sha256":"2048d6119f39716973649f601e2798f5e2fc84c484818127d25e0b3fba0474b9","source":{"kind":"arxiv","id":"2502.20637","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.20637","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"arxiv_version","alias_value":"2502.20637v2","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.20637","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"pith_short_12","alias_value":"EBENMEM7HFYW","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"pith_short_16","alias_value":"EBENMEM7HFYWS43E","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"pith_short_8","alias_value":"EBENMEM7","created_at":"2026-07-05T10:25:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:EBENMEM7HFYWS43ET5QB4J4Y6X","target":"record","payload":{"canonical_record":{"source":{"id":"2502.20637","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-28T01:36:38Z","cross_cats_sorted":[],"title_canon_sha256":"8586f5aa521b1adeebf81e3e423e238c77b29f0eec32d8401fbf73b484600509","abstract_canon_sha256":"bfa7905e651eef670682b2188f750cc9b3942cc9fba3f50bd3ac722d6ef63f50"},"schema_version":"1.0"},"canonical_sha256":"2048d6119f39716973649f601e2798f5e2fc84c484818127d25e0b3fba0474b9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:25:18.730361Z","signature_b64":"wrkpfXCe1653RoQwNEPFupAFthCoXSUrwmE/BNhbNVtwoxzO3NL0Vy5rshR3m1c++zBilflRUzc/Z4+aJnAIAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2048d6119f39716973649f601e2798f5e2fc84c484818127d25e0b3fba0474b9","last_reissued_at":"2026-07-05T10:25:18.729862Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:25:18.729862Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.20637","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":"2026-07-05T10:25:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y+UQ/oFKaEv6w4aCzJGQrlOWdjFUJkbPoYXFt7HvOpJWbvWqKYcfB4XX73dITnUleLeKOJRGNFI0RgnZvR/OBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:19:13.219599Z"},"content_sha256":"1d84887570b1137ad537a77e4dadc869a4eaa0e421fec923f9a5fe59cec383af","schema_version":"1.0","event_id":"sha256:1d84887570b1137ad537a77e4dadc869a4eaa0e421fec923f9a5fe59cec383af"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:EBENMEM7HFYWS43ET5QB4J4Y6X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TractCloud-FOV: Deep Learning-based Robust Tractography Parcellation in Diffusion MRI with Incomplete Field of View","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fan Zhang, Lauren J. O'Donnell, Leo Zekelman, Nikos Makris, Suheyla Cetin-Karayumak, Tengfei Xue, Weidong Cai, Yogesh Rathi, Yui Lo, Yuqian Chen","submitted_at":"2025-02-28T01:36:38Z","abstract_excerpt":"Tractography parcellation classifies streamlines reconstructed from diffusion MRI into anatomically defined fiber tracts for clinical and research applications. However, clinical scans often have incomplete fields of view (FOV) where brain regions are partially imaged, leading to partial or truncated fiber tracts. To address this challenge, we introduce TractCloud-FOV, a deep learning framework that robustly parcellates tractography under conditions of incomplete FOV. We propose a novel training strategy, FOV-Cut Augmentation (FOV-CA), in which we synthetically cut tractograms to simulate a sp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.20637","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/2502.20637/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":"2026-07-05T10:25:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SYu0wSWRsfrIKjBxxpyHs5XmNg//9t5NeqFaIXqs3TtmRK8BaNvIRjSRMXZXkI8Tazb48oZkbc4j8pFL0kN6Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:19:13.219976Z"},"content_sha256":"6d110a339fa194c2c271b32d4ae70023958e34a78ef54d6881e74740bb64df68","schema_version":"1.0","event_id":"sha256:6d110a339fa194c2c271b32d4ae70023958e34a78ef54d6881e74740bb64df68"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EBENMEM7HFYWS43ET5QB4J4Y6X/bundle.json","state_url":"https://pith.science/pith/EBENMEM7HFYWS43ET5QB4J4Y6X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EBENMEM7HFYWS43ET5QB4J4Y6X/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":"2026-07-07T09:19:13Z","links":{"resolver":"https://pith.science/pith/EBENMEM7HFYWS43ET5QB4J4Y6X","bundle":"https://pith.science/pith/EBENMEM7HFYWS43ET5QB4J4Y6X/bundle.json","state":"https://pith.science/pith/EBENMEM7HFYWS43ET5QB4J4Y6X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EBENMEM7HFYWS43ET5QB4J4Y6X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EBENMEM7HFYWS43ET5QB4J4Y6X","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":"bfa7905e651eef670682b2188f750cc9b3942cc9fba3f50bd3ac722d6ef63f50","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-28T01:36:38Z","title_canon_sha256":"8586f5aa521b1adeebf81e3e423e238c77b29f0eec32d8401fbf73b484600509"},"schema_version":"1.0","source":{"id":"2502.20637","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.20637","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"arxiv_version","alias_value":"2502.20637v2","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.20637","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"pith_short_12","alias_value":"EBENMEM7HFYW","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"pith_short_16","alias_value":"EBENMEM7HFYWS43E","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"pith_short_8","alias_value":"EBENMEM7","created_at":"2026-07-05T10:25:18Z"}],"graph_snapshots":[{"event_id":"sha256:6d110a339fa194c2c271b32d4ae70023958e34a78ef54d6881e74740bb64df68","target":"graph","created_at":"2026-07-05T10:25:18Z","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/2502.20637/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Tractography parcellation classifies streamlines reconstructed from diffusion MRI into anatomically defined fiber tracts for clinical and research applications. However, clinical scans often have incomplete fields of view (FOV) where brain regions are partially imaged, leading to partial or truncated fiber tracts. To address this challenge, we introduce TractCloud-FOV, a deep learning framework that robustly parcellates tractography under conditions of incomplete FOV. We propose a novel training strategy, FOV-Cut Augmentation (FOV-CA), in which we synthetically cut tractograms to simulate a sp","authors_text":"Fan Zhang, Lauren J. O'Donnell, Leo Zekelman, Nikos Makris, Suheyla Cetin-Karayumak, Tengfei Xue, Weidong Cai, Yogesh Rathi, Yui Lo, Yuqian Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-28T01:36:38Z","title":"TractCloud-FOV: Deep Learning-based Robust Tractography Parcellation in Diffusion MRI with Incomplete Field of View"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.20637","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":"sha256:1d84887570b1137ad537a77e4dadc869a4eaa0e421fec923f9a5fe59cec383af","target":"record","created_at":"2026-07-05T10:25:18Z","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":"bfa7905e651eef670682b2188f750cc9b3942cc9fba3f50bd3ac722d6ef63f50","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-28T01:36:38Z","title_canon_sha256":"8586f5aa521b1adeebf81e3e423e238c77b29f0eec32d8401fbf73b484600509"},"schema_version":"1.0","source":{"id":"2502.20637","kind":"arxiv","version":2}},"canonical_sha256":"2048d6119f39716973649f601e2798f5e2fc84c484818127d25e0b3fba0474b9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2048d6119f39716973649f601e2798f5e2fc84c484818127d25e0b3fba0474b9","first_computed_at":"2026-07-05T10:25:18.729862Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:25:18.729862Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wrkpfXCe1653RoQwNEPFupAFthCoXSUrwmE/BNhbNVtwoxzO3NL0Vy5rshR3m1c++zBilflRUzc/Z4+aJnAIAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:25:18.730361Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.20637","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d84887570b1137ad537a77e4dadc869a4eaa0e421fec923f9a5fe59cec383af","sha256:6d110a339fa194c2c271b32d4ae70023958e34a78ef54d6881e74740bb64df68"],"state_sha256":"3eab1c4298eef711ab8aff0eff4f580e5a062aa65ff20f5bfdc419c58223b356"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eek3kigEedWUNs0MqaOhxG5ahuenenIReK8aIbl+icX2GaNh7Udpd1JQs989+ci7RR0Ov2faOQZ8+DjZFb2oAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T09:19:13.222078Z","bundle_sha256":"1b9c307646b5a497525960ef8fcd8f9cf8ee81d50a108e732e02f67e0057a6f0"}}