{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:EZ3QWYEZ42XHIYYLRC2TQ7NFLX","short_pith_number":"pith:EZ3QWYEZ","canonical_record":{"source":{"id":"2509.06511","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-08T10:15:23Z","cross_cats_sorted":[],"title_canon_sha256":"4e1f5b0598b7884ea052f9c6eb2af326e5069a9737dc2ffc201b356eec6ffc55","abstract_canon_sha256":"af092495ca034bc10b087073ee3760ac15c6b974b3815b441c704c5f4883e0c7"},"schema_version":"1.0"},"canonical_sha256":"26770b6099e6ae74630b88b5387da55dfc16dc9d1d160fa9dd3a495139787014","source":{"kind":"arxiv","id":"2509.06511","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.06511","created_at":"2026-07-05T12:06:37Z"},{"alias_kind":"arxiv_version","alias_value":"2509.06511v1","created_at":"2026-07-05T12:06:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.06511","created_at":"2026-07-05T12:06:37Z"},{"alias_kind":"pith_short_12","alias_value":"EZ3QWYEZ42XH","created_at":"2026-07-05T12:06:37Z"},{"alias_kind":"pith_short_16","alias_value":"EZ3QWYEZ42XHIYYL","created_at":"2026-07-05T12:06:37Z"},{"alias_kind":"pith_short_8","alias_value":"EZ3QWYEZ","created_at":"2026-07-05T12:06:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:EZ3QWYEZ42XHIYYLRC2TQ7NFLX","target":"record","payload":{"canonical_record":{"source":{"id":"2509.06511","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-08T10:15:23Z","cross_cats_sorted":[],"title_canon_sha256":"4e1f5b0598b7884ea052f9c6eb2af326e5069a9737dc2ffc201b356eec6ffc55","abstract_canon_sha256":"af092495ca034bc10b087073ee3760ac15c6b974b3815b441c704c5f4883e0c7"},"schema_version":"1.0"},"canonical_sha256":"26770b6099e6ae74630b88b5387da55dfc16dc9d1d160fa9dd3a495139787014","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:06:37.348021Z","signature_b64":"mrfjPv+51dSEV4N3X1Na0BCrvChHc8dFXWA1sgKSWQjrjZaN+iOv0lSBXrvJi8pSF0iuB27Bcfba31XEP+wSDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"26770b6099e6ae74630b88b5387da55dfc16dc9d1d160fa9dd3a495139787014","last_reissued_at":"2026-07-05T12:06:37.347385Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:06:37.347385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.06511","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":"2026-07-05T12:06:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"goLe1VATWQ48QR0gkxlRa8FxpfOJg0BNuchYEdcmDSddnKOWd3yj/7MAGHrWJ0DWTRxXKaHspoN1FBrXd3U6Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T10:57:46.167975Z"},"content_sha256":"724db1387bd103507bdd0bcd546681fd61d6c631a594ede4d5225c1eaff0088b","schema_version":"1.0","event_id":"sha256:724db1387bd103507bdd0bcd546681fd61d6c631a594ede4d5225c1eaff0088b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:EZ3QWYEZ42XHIYYLRC2TQ7NFLX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Predicting Brain Tumor Response to Therapy using a Hybrid Deep Learning and Radiomics Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abdelrahman Elsayed, Ahmed Jaheen, Daniil Tikhonov, Hu Wang, Matheus Scatolin, Mohammad Yaqub, Mohor Banerjee, Mostafa Salem, Qiankun Ji, Sarim Hashmi","submitted_at":"2025-09-08T10:15:23Z","abstract_excerpt":"Accurate evaluation of the response of glioblastoma to therapy is crucial for clinical decision-making and patient management. The Response Assessment in Neuro-Oncology (RANO) criteria provide a standardized framework to assess patients' clinical response, but their application can be complex and subject to observer variability. This paper presents an automated method for classifying the intervention response from longitudinal MRI scans, developed to predict tumor response during therapy as part of the BraTS 2025 challenge. We propose a novel hybrid framework that combines deep learning derive"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.06511","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/2509.06511/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":"2026-07-05T12:06:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Pvinbl9mSx3/h72RwZJrd2s4aoobR/QM74/BhekoOEYOMzNT/JUvRvKOaxU/UBXepJsbLorqq3X9hbQ+rDsoAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T10:57:46.168956Z"},"content_sha256":"685d500c7c853340baeb6bc4273b55696a107749ca852c5319897077a80d3831","schema_version":"1.0","event_id":"sha256:685d500c7c853340baeb6bc4273b55696a107749ca852c5319897077a80d3831"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EZ3QWYEZ42XHIYYLRC2TQ7NFLX/bundle.json","state_url":"https://pith.science/pith/EZ3QWYEZ42XHIYYLRC2TQ7NFLX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EZ3QWYEZ42XHIYYLRC2TQ7NFLX/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":"2026-08-18T10:57:46Z","links":{"resolver":"https://pith.science/pith/EZ3QWYEZ42XHIYYLRC2TQ7NFLX","bundle":"https://pith.science/pith/EZ3QWYEZ42XHIYYLRC2TQ7NFLX/bundle.json","state":"https://pith.science/pith/EZ3QWYEZ42XHIYYLRC2TQ7NFLX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EZ3QWYEZ42XHIYYLRC2TQ7NFLX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EZ3QWYEZ42XHIYYLRC2TQ7NFLX","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":"af092495ca034bc10b087073ee3760ac15c6b974b3815b441c704c5f4883e0c7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-08T10:15:23Z","title_canon_sha256":"4e1f5b0598b7884ea052f9c6eb2af326e5069a9737dc2ffc201b356eec6ffc55"},"schema_version":"1.0","source":{"id":"2509.06511","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.06511","created_at":"2026-07-05T12:06:37Z"},{"alias_kind":"arxiv_version","alias_value":"2509.06511v1","created_at":"2026-07-05T12:06:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.06511","created_at":"2026-07-05T12:06:37Z"},{"alias_kind":"pith_short_12","alias_value":"EZ3QWYEZ42XH","created_at":"2026-07-05T12:06:37Z"},{"alias_kind":"pith_short_16","alias_value":"EZ3QWYEZ42XHIYYL","created_at":"2026-07-05T12:06:37Z"},{"alias_kind":"pith_short_8","alias_value":"EZ3QWYEZ","created_at":"2026-07-05T12:06:37Z"}],"graph_snapshots":[{"event_id":"sha256:685d500c7c853340baeb6bc4273b55696a107749ca852c5319897077a80d3831","target":"graph","created_at":"2026-07-05T12:06:37Z","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/2509.06511/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate evaluation of the response of glioblastoma to therapy is crucial for clinical decision-making and patient management. The Response Assessment in Neuro-Oncology (RANO) criteria provide a standardized framework to assess patients' clinical response, but their application can be complex and subject to observer variability. This paper presents an automated method for classifying the intervention response from longitudinal MRI scans, developed to predict tumor response during therapy as part of the BraTS 2025 challenge. We propose a novel hybrid framework that combines deep learning derive","authors_text":"Abdelrahman Elsayed, Ahmed Jaheen, Daniil Tikhonov, Hu Wang, Matheus Scatolin, Mohammad Yaqub, Mohor Banerjee, Mostafa Salem, Qiankun Ji, Sarim Hashmi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-08T10:15:23Z","title":"Predicting Brain Tumor Response to Therapy using a Hybrid Deep Learning and Radiomics Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.06511","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":"sha256:724db1387bd103507bdd0bcd546681fd61d6c631a594ede4d5225c1eaff0088b","target":"record","created_at":"2026-07-05T12:06:37Z","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":"af092495ca034bc10b087073ee3760ac15c6b974b3815b441c704c5f4883e0c7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-08T10:15:23Z","title_canon_sha256":"4e1f5b0598b7884ea052f9c6eb2af326e5069a9737dc2ffc201b356eec6ffc55"},"schema_version":"1.0","source":{"id":"2509.06511","kind":"arxiv","version":1}},"canonical_sha256":"26770b6099e6ae74630b88b5387da55dfc16dc9d1d160fa9dd3a495139787014","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"26770b6099e6ae74630b88b5387da55dfc16dc9d1d160fa9dd3a495139787014","first_computed_at":"2026-07-05T12:06:37.347385Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:06:37.347385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mrfjPv+51dSEV4N3X1Na0BCrvChHc8dFXWA1sgKSWQjrjZaN+iOv0lSBXrvJi8pSF0iuB27Bcfba31XEP+wSDg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:06:37.348021Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.06511","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:724db1387bd103507bdd0bcd546681fd61d6c631a594ede4d5225c1eaff0088b","sha256:685d500c7c853340baeb6bc4273b55696a107749ca852c5319897077a80d3831"],"state_sha256":"63dd9684bbf98333fd0cd1014cf3fd613f6c01b7fea241a59104f2ba07e62a21"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lc4fLuDlXVGTvHVtGLGrbTQvV8/Yji4ejuyzXQJ0Dd8HsP8KeqfSZNbeuesWUGbpep7MRO27TkwupDQ2/ipTBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T10:57:46.177793Z","bundle_sha256":"f7fcedfbdb29fbab5d3b32bf8dd3c48e2fd23211fb45caadaa6197d2aa623653"}}