{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:O5FLS2D6BU3VSC5VCZEUEKZF3M","short_pith_number":"pith:O5FLS2D6","canonical_record":{"source":{"id":"2312.05279","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-12-08T09:22:25Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"82eca3b21a786e85888e883ad9d93897e1805ae8a8c6b8393509944ad93992a2","abstract_canon_sha256":"e7e79d98f93ddbd3d1ed44b6f32804a491b0b39cd24c55b2357e630376acb316"},"schema_version":"1.0"},"canonical_sha256":"774ab9687e0d37590bb51649422b25db149fe54b37a8618db52cb52e1800588b","source":{"kind":"arxiv","id":"2312.05279","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.05279","created_at":"2026-07-05T07:22:02Z"},{"alias_kind":"arxiv_version","alias_value":"2312.05279v1","created_at":"2026-07-05T07:22:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.05279","created_at":"2026-07-05T07:22:02Z"},{"alias_kind":"pith_short_12","alias_value":"O5FLS2D6BU3V","created_at":"2026-07-05T07:22:02Z"},{"alias_kind":"pith_short_16","alias_value":"O5FLS2D6BU3VSC5V","created_at":"2026-07-05T07:22:02Z"},{"alias_kind":"pith_short_8","alias_value":"O5FLS2D6","created_at":"2026-07-05T07:22:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:O5FLS2D6BU3VSC5VCZEUEKZF3M","target":"record","payload":{"canonical_record":{"source":{"id":"2312.05279","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-12-08T09:22:25Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"82eca3b21a786e85888e883ad9d93897e1805ae8a8c6b8393509944ad93992a2","abstract_canon_sha256":"e7e79d98f93ddbd3d1ed44b6f32804a491b0b39cd24c55b2357e630376acb316"},"schema_version":"1.0"},"canonical_sha256":"774ab9687e0d37590bb51649422b25db149fe54b37a8618db52cb52e1800588b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:22:02.591522Z","signature_b64":"DBMhpxKt96nxOlrD4354SgtYhFVVRDGLuKde/J+apaAKf4iaK9ASsOy4AfH11P21i3LfjJOMpf7CLl6DqUACDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"774ab9687e0d37590bb51649422b25db149fe54b37a8618db52cb52e1800588b","last_reissued_at":"2026-07-05T07:22:02.590973Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:22:02.590973Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.05279","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":"2026-07-05T07:22:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3BI6EMGH/x8i/tVy9Vw+xs2/WDnLogjmkCB0gs9vF6tbU86A6TUfVqYwQpi601N1i6hVzsHkGMqrG/UnOa9KCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T19:25:42.156529Z"},"content_sha256":"159adff1cbf6999c1f5c6be623f237cf53a376a4a2fb39dd38b6fb51ce375af9","schema_version":"1.0","event_id":"sha256:159adff1cbf6999c1f5c6be623f237cf53a376a4a2fb39dd38b6fb51ce375af9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:O5FLS2D6BU3VSC5VCZEUEKZF3M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantitative perfusion maps using a novelty spatiotemporal convolutional neural network","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Anbo Cao, Asim Zaman, Guangtao Huang, Haseeb Hassan, Huihui Yang, Jia Guo, Jiaxi Lu, Pin-Yu Le, Taiyu Han, Xiaoqiang Miao, Xueqiang Zeng, Yan Kang, Yingwei Guo, Yu Luo, Zhonghui Qie","submitted_at":"2023-12-08T09:22:25Z","abstract_excerpt":"Dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) is widely used to evaluate acute ischemic stroke to distinguish salvageable tissue and infarct core. For this purpose, traditional methods employ deconvolution techniques, like singular value decomposition, which are known to be vulnerable to noise, potentially distorting the derived perfusion parameters. However, deep learning technology could leverage it, which can accurately estimate clinical perfusion parameters compared to traditional clinical approaches. Therefore, this study presents a perfusion parameters estimation n"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.05279","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/2312.05279/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":"2026-07-05T07:22:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WXaXTDmhOiCOludC0KgjnWIgkrZzfFmw9mXbkTc4HOongWoAlKQfWDsOb396xoXCkRzOg4/nPexKgsLZu/mCDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T19:25:42.156894Z"},"content_sha256":"a11be7b9c7bec283554a10c4b3bfc40d2edc0ea31f4fd9c7111dfdecde343397","schema_version":"1.0","event_id":"sha256:a11be7b9c7bec283554a10c4b3bfc40d2edc0ea31f4fd9c7111dfdecde343397"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O5FLS2D6BU3VSC5VCZEUEKZF3M/bundle.json","state_url":"https://pith.science/pith/O5FLS2D6BU3VSC5VCZEUEKZF3M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O5FLS2D6BU3VSC5VCZEUEKZF3M/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":"2026-07-14T19:25:42Z","links":{"resolver":"https://pith.science/pith/O5FLS2D6BU3VSC5VCZEUEKZF3M","bundle":"https://pith.science/pith/O5FLS2D6BU3VSC5VCZEUEKZF3M/bundle.json","state":"https://pith.science/pith/O5FLS2D6BU3VSC5VCZEUEKZF3M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O5FLS2D6BU3VSC5VCZEUEKZF3M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:O5FLS2D6BU3VSC5VCZEUEKZF3M","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":"e7e79d98f93ddbd3d1ed44b6f32804a491b0b39cd24c55b2357e630376acb316","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-12-08T09:22:25Z","title_canon_sha256":"82eca3b21a786e85888e883ad9d93897e1805ae8a8c6b8393509944ad93992a2"},"schema_version":"1.0","source":{"id":"2312.05279","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.05279","created_at":"2026-07-05T07:22:02Z"},{"alias_kind":"arxiv_version","alias_value":"2312.05279v1","created_at":"2026-07-05T07:22:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.05279","created_at":"2026-07-05T07:22:02Z"},{"alias_kind":"pith_short_12","alias_value":"O5FLS2D6BU3V","created_at":"2026-07-05T07:22:02Z"},{"alias_kind":"pith_short_16","alias_value":"O5FLS2D6BU3VSC5V","created_at":"2026-07-05T07:22:02Z"},{"alias_kind":"pith_short_8","alias_value":"O5FLS2D6","created_at":"2026-07-05T07:22:02Z"}],"graph_snapshots":[{"event_id":"sha256:a11be7b9c7bec283554a10c4b3bfc40d2edc0ea31f4fd9c7111dfdecde343397","target":"graph","created_at":"2026-07-05T07:22:02Z","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/2312.05279/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) is widely used to evaluate acute ischemic stroke to distinguish salvageable tissue and infarct core. For this purpose, traditional methods employ deconvolution techniques, like singular value decomposition, which are known to be vulnerable to noise, potentially distorting the derived perfusion parameters. However, deep learning technology could leverage it, which can accurately estimate clinical perfusion parameters compared to traditional clinical approaches. Therefore, this study presents a perfusion parameters estimation n","authors_text":"Anbo Cao, Asim Zaman, Guangtao Huang, Haseeb Hassan, Huihui Yang, Jia Guo, Jiaxi Lu, Pin-Yu Le, Taiyu Han, Xiaoqiang Miao, Xueqiang Zeng, Yan Kang, Yingwei Guo, Yu Luo, Zhonghui Qie","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-12-08T09:22:25Z","title":"Quantitative perfusion maps using a novelty spatiotemporal convolutional neural network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.05279","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":"sha256:159adff1cbf6999c1f5c6be623f237cf53a376a4a2fb39dd38b6fb51ce375af9","target":"record","created_at":"2026-07-05T07:22:02Z","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":"e7e79d98f93ddbd3d1ed44b6f32804a491b0b39cd24c55b2357e630376acb316","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-12-08T09:22:25Z","title_canon_sha256":"82eca3b21a786e85888e883ad9d93897e1805ae8a8c6b8393509944ad93992a2"},"schema_version":"1.0","source":{"id":"2312.05279","kind":"arxiv","version":1}},"canonical_sha256":"774ab9687e0d37590bb51649422b25db149fe54b37a8618db52cb52e1800588b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"774ab9687e0d37590bb51649422b25db149fe54b37a8618db52cb52e1800588b","first_computed_at":"2026-07-05T07:22:02.590973Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:22:02.590973Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DBMhpxKt96nxOlrD4354SgtYhFVVRDGLuKde/J+apaAKf4iaK9ASsOy4AfH11P21i3LfjJOMpf7CLl6DqUACDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:22:02.591522Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.05279","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:159adff1cbf6999c1f5c6be623f237cf53a376a4a2fb39dd38b6fb51ce375af9","sha256:a11be7b9c7bec283554a10c4b3bfc40d2edc0ea31f4fd9c7111dfdecde343397"],"state_sha256":"20c618ef3e8d0bad7d27cdca91feac4aa3647b2cce3cd84ce45059c1fd58277c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dhYHFPqyzQiBvUrugk024gXHVLDxkV8JOr2jMlRFn+dpX1ORQ/gfrNzH/cLiSd1RD2chijGOThEPyhZO0M2RBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-14T19:25:42.158994Z","bundle_sha256":"3afddd76f36c4a3f0db49c549f71d6650144ab64e0deece8a89431cb0ba5c0cb"}}