{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:TOHHMPTTPPG6DB7PMKWAMYXIGP","short_pith_number":"pith:TOHHMPTT","canonical_record":{"source":{"id":"2208.05616","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-11T02:51:14Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"1426c157e6cfe37bef6df826cf53af75187aca05f370f5b69a5e7ce78705403c","abstract_canon_sha256":"7d4da8e2f9c879c5c0e63157ee61ddc78d3f615facb9db43d8663b5152f487a8"},"schema_version":"1.0"},"canonical_sha256":"9b8e763e737bcde187ef62ac0662e833fa4a9db8b637d1ab7ef626cdc387521f","source":{"kind":"arxiv","id":"2208.05616","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.05616","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"arxiv_version","alias_value":"2208.05616v2","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.05616","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"pith_short_12","alias_value":"TOHHMPTTPPG6","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"pith_short_16","alias_value":"TOHHMPTTPPG6DB7P","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"pith_short_8","alias_value":"TOHHMPTT","created_at":"2026-07-05T04:55:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:TOHHMPTTPPG6DB7PMKWAMYXIGP","target":"record","payload":{"canonical_record":{"source":{"id":"2208.05616","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-11T02:51:14Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"1426c157e6cfe37bef6df826cf53af75187aca05f370f5b69a5e7ce78705403c","abstract_canon_sha256":"7d4da8e2f9c879c5c0e63157ee61ddc78d3f615facb9db43d8663b5152f487a8"},"schema_version":"1.0"},"canonical_sha256":"9b8e763e737bcde187ef62ac0662e833fa4a9db8b637d1ab7ef626cdc387521f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:55:39.962394Z","signature_b64":"e1HQeW3I8hIgny5Sbx1j747zGuSq7CIx3q0HRQ3Xmye4LtmL9jjoMmG6Pz4yIumIEGk81mVDAXQKxBdsYmhXAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b8e763e737bcde187ef62ac0662e833fa4a9db8b637d1ab7ef626cdc387521f","last_reissued_at":"2026-07-05T04:55:39.961952Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:55:39.961952Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.05616","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":"2026-07-05T04:55:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xK2nfwvzZrno/csOj+J6kD7pMNxnOu3kUi5gOM3QY/bY3erdcI51QU29PfAhDT9DUmE+VMYwnQdRvtdPGG7EDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T09:44:54.266031Z"},"content_sha256":"951010bc3ac28b452bcd54efa14df4ebdf958255f1beede52df06e80dba31d42","schema_version":"1.0","event_id":"sha256:951010bc3ac28b452bcd54efa14df4ebdf958255f1beede52df06e80dba31d42"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:TOHHMPTTPPG6DB7PMKWAMYXIGP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Ge Li, Jiancong Chen, Jia-Xin Zhuang, Jie Chen, Tong Zhang, Wei Gao, Xiansong Huang, Yang Yang, Yue Yu","submitted_at":"2022-08-11T02:51:14Z","abstract_excerpt":"In this paper, we present OpenMedIA, an open-source toolbox library containing a rich set of deep learning methods for medical image analysis under heterogeneous Artificial Intelligence (AI) computing platforms. Various medical image analysis methods, including 2D/3D medical image classification, segmentation, localisation, and detection, have been included in the toolbox with PyTorch and/or MindSpore implementations under heterogeneous NVIDIA and Huawei Ascend computing systems. To our best knowledge, OpenMedIA is the first open-source algorithm library providing compared PyTorch and MindSpor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.05616","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/2208.05616/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":"2026-07-05T04:55:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L1Ot3emHMZyMQVmxRz1mef0/x2+UL8PDSPaHnSNlFzJ6Ldnvd1mmOtSuxNCSUq/ZUqcbSQMhuIRxw9AIuYeRCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T09:44:54.266533Z"},"content_sha256":"8c6dc2c86899eb58f0db3dad20143cdd37b09182e90889e203d91120527285b7","schema_version":"1.0","event_id":"sha256:8c6dc2c86899eb58f0db3dad20143cdd37b09182e90889e203d91120527285b7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TOHHMPTTPPG6DB7PMKWAMYXIGP/bundle.json","state_url":"https://pith.science/pith/TOHHMPTTPPG6DB7PMKWAMYXIGP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TOHHMPTTPPG6DB7PMKWAMYXIGP/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":"2026-08-07T09:44:54Z","links":{"resolver":"https://pith.science/pith/TOHHMPTTPPG6DB7PMKWAMYXIGP","bundle":"https://pith.science/pith/TOHHMPTTPPG6DB7PMKWAMYXIGP/bundle.json","state":"https://pith.science/pith/TOHHMPTTPPG6DB7PMKWAMYXIGP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TOHHMPTTPPG6DB7PMKWAMYXIGP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:TOHHMPTTPPG6DB7PMKWAMYXIGP","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":"7d4da8e2f9c879c5c0e63157ee61ddc78d3f615facb9db43d8663b5152f487a8","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-11T02:51:14Z","title_canon_sha256":"1426c157e6cfe37bef6df826cf53af75187aca05f370f5b69a5e7ce78705403c"},"schema_version":"1.0","source":{"id":"2208.05616","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.05616","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"arxiv_version","alias_value":"2208.05616v2","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.05616","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"pith_short_12","alias_value":"TOHHMPTTPPG6","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"pith_short_16","alias_value":"TOHHMPTTPPG6DB7P","created_at":"2026-07-05T04:55:39Z"},{"alias_kind":"pith_short_8","alias_value":"TOHHMPTT","created_at":"2026-07-05T04:55:39Z"}],"graph_snapshots":[{"event_id":"sha256:8c6dc2c86899eb58f0db3dad20143cdd37b09182e90889e203d91120527285b7","target":"graph","created_at":"2026-07-05T04:55:39Z","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/2208.05616/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we present OpenMedIA, an open-source toolbox library containing a rich set of deep learning methods for medical image analysis under heterogeneous Artificial Intelligence (AI) computing platforms. Various medical image analysis methods, including 2D/3D medical image classification, segmentation, localisation, and detection, have been included in the toolbox with PyTorch and/or MindSpore implementations under heterogeneous NVIDIA and Huawei Ascend computing systems. To our best knowledge, OpenMedIA is the first open-source algorithm library providing compared PyTorch and MindSpor","authors_text":"Ge Li, Jiancong Chen, Jia-Xin Zhuang, Jie Chen, Tong Zhang, Wei Gao, Xiansong Huang, Yang Yang, Yue Yu","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-11T02:51:14Z","title":"OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.05616","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":"sha256:951010bc3ac28b452bcd54efa14df4ebdf958255f1beede52df06e80dba31d42","target":"record","created_at":"2026-07-05T04:55:39Z","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":"7d4da8e2f9c879c5c0e63157ee61ddc78d3f615facb9db43d8663b5152f487a8","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-11T02:51:14Z","title_canon_sha256":"1426c157e6cfe37bef6df826cf53af75187aca05f370f5b69a5e7ce78705403c"},"schema_version":"1.0","source":{"id":"2208.05616","kind":"arxiv","version":2}},"canonical_sha256":"9b8e763e737bcde187ef62ac0662e833fa4a9db8b637d1ab7ef626cdc387521f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9b8e763e737bcde187ef62ac0662e833fa4a9db8b637d1ab7ef626cdc387521f","first_computed_at":"2026-07-05T04:55:39.961952Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:55:39.961952Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"e1HQeW3I8hIgny5Sbx1j747zGuSq7CIx3q0HRQ3Xmye4LtmL9jjoMmG6Pz4yIumIEGk81mVDAXQKxBdsYmhXAw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:55:39.962394Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.05616","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:951010bc3ac28b452bcd54efa14df4ebdf958255f1beede52df06e80dba31d42","sha256:8c6dc2c86899eb58f0db3dad20143cdd37b09182e90889e203d91120527285b7"],"state_sha256":"cd03a8179d52eee78ff39cd92fceca01530ba9b1ee59e6e9c19e86daef0cac27"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Em7oTDouINyYM2q/nsy6SpDpGiCsmoun0AMZn6orvNWiYTSNpQgHz0ewjSVR4+oLZ1yrHrYLW0amD7XMMm29AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T09:44:54.270413Z","bundle_sha256":"3b8d3f9f87e91d1048b1e226933c70fad0b87d7b781bba8244dc5043b0db3dd7"}}