{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:QZ6565A7QWGZODTOGMTGLP4UOL","short_pith_number":"pith:QZ6565A7","canonical_record":{"source":{"id":"1911.06687","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-15T15:18:38Z","cross_cats_sorted":["eess.IV","q-bio.QM"],"title_canon_sha256":"d373cb9240cbdf56e3d4876a0fadf3c65f5f9b00f0d8533e6566128eeb59be26","abstract_canon_sha256":"b72341c2cb6e6c504940065c1b1f9f1f07101ef0a344e8242845bf3d33888886"},"schema_version":"1.0"},"canonical_sha256":"867ddf741f858d970e6e332665bf9472fcd25dccfdf5dc93cca8f9325f31902d","source":{"kind":"arxiv","id":"1911.06687","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.06687","created_at":"2026-07-05T00:19:25Z"},{"alias_kind":"arxiv_version","alias_value":"1911.06687v1","created_at":"2026-07-05T00:19:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.06687","created_at":"2026-07-05T00:19:25Z"},{"alias_kind":"pith_short_12","alias_value":"QZ6565A7QWGZ","created_at":"2026-07-05T00:19:25Z"},{"alias_kind":"pith_short_16","alias_value":"QZ6565A7QWGZODTO","created_at":"2026-07-05T00:19:25Z"},{"alias_kind":"pith_short_8","alias_value":"QZ6565A7","created_at":"2026-07-05T00:19:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:QZ6565A7QWGZODTOGMTGLP4UOL","target":"record","payload":{"canonical_record":{"source":{"id":"1911.06687","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-15T15:18:38Z","cross_cats_sorted":["eess.IV","q-bio.QM"],"title_canon_sha256":"d373cb9240cbdf56e3d4876a0fadf3c65f5f9b00f0d8533e6566128eeb59be26","abstract_canon_sha256":"b72341c2cb6e6c504940065c1b1f9f1f07101ef0a344e8242845bf3d33888886"},"schema_version":"1.0"},"canonical_sha256":"867ddf741f858d970e6e332665bf9472fcd25dccfdf5dc93cca8f9325f31902d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:19:25.944463Z","signature_b64":"mhRR31zDeI4eZBDyjc04tavxYk998zyFbZvXmwxYv7QjYpnbPnNkzfQtjsjjy/hq7qBtHaLPYZGf88z3I3cCAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"867ddf741f858d970e6e332665bf9472fcd25dccfdf5dc93cca8f9325f31902d","last_reissued_at":"2026-07-05T00:19:25.944075Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:19:25.944075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1911.06687","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":"2026-07-05T00:19:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ywOydFgUbNbmcznT8La+zO+N0P0mWb0WSBHwZzcpzLVCP1+PjPZcNrez/0EhU/Vz1he5VXWZgDVqgg7+qFKNDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T06:47:16.878962Z"},"content_sha256":"439045b8eef3df0b79f8622ee1f852d59c8bf826f6a75b6de9c169e0f707a82c","schema_version":"1.0","event_id":"sha256:439045b8eef3df0b79f8622ee1f852d59c8bf826f6a75b6de9c169e0f707a82c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:QZ6565A7QWGZODTOGMTGLP4UOL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV","q-bio.QM"],"primary_cat":"cs.CV","authors_text":"Ahmad Chaddad, Christian Desrosiers, Mingli Zhang, Saima Rathore, Tamim Niazi","submitted_at":"2019-11-15T15:18:38Z","abstract_excerpt":"This paper proposes to use deep radiomic features (DRFs) from a convolutional neural network (CNN) to model fine-grained texture signatures in the radiomic analysis of recurrent glioblastoma (rGBM). We use DRFs to predict survival of rGBM patients with preoperative T1-weighted post-contrast MR images (n=100). DRFs are extracted from regions of interest labelled by a radiation oncologist and used to compare between short-term and long-term survival patient groups. Random forest (RF) classification is employed to predict survival outcome (i.e., short or long survival), as well as to identify hig"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.06687","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/1911.06687/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":"2026-07-05T00:19:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0uG4AYiSzO2tofhHaiWJqjf5BMarmigGBD8LomVAOrnRMSfbmp1IG9XSJld4gm7KcCnlxtgtqI3dnTT7WA2hDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T06:47:16.880553Z"},"content_sha256":"ce3d6d4075a346f686b7011b43353cf6dd2918662c0afd40708c74dbb795bf50","schema_version":"1.0","event_id":"sha256:ce3d6d4075a346f686b7011b43353cf6dd2918662c0afd40708c74dbb795bf50"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QZ6565A7QWGZODTOGMTGLP4UOL/bundle.json","state_url":"https://pith.science/pith/QZ6565A7QWGZODTOGMTGLP4UOL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QZ6565A7QWGZODTOGMTGLP4UOL/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":"2026-08-20T06:47:16Z","links":{"resolver":"https://pith.science/pith/QZ6565A7QWGZODTOGMTGLP4UOL","bundle":"https://pith.science/pith/QZ6565A7QWGZODTOGMTGLP4UOL/bundle.json","state":"https://pith.science/pith/QZ6565A7QWGZODTOGMTGLP4UOL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QZ6565A7QWGZODTOGMTGLP4UOL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:QZ6565A7QWGZODTOGMTGLP4UOL","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":"b72341c2cb6e6c504940065c1b1f9f1f07101ef0a344e8242845bf3d33888886","cross_cats_sorted":["eess.IV","q-bio.QM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-15T15:18:38Z","title_canon_sha256":"d373cb9240cbdf56e3d4876a0fadf3c65f5f9b00f0d8533e6566128eeb59be26"},"schema_version":"1.0","source":{"id":"1911.06687","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.06687","created_at":"2026-07-05T00:19:25Z"},{"alias_kind":"arxiv_version","alias_value":"1911.06687v1","created_at":"2026-07-05T00:19:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.06687","created_at":"2026-07-05T00:19:25Z"},{"alias_kind":"pith_short_12","alias_value":"QZ6565A7QWGZ","created_at":"2026-07-05T00:19:25Z"},{"alias_kind":"pith_short_16","alias_value":"QZ6565A7QWGZODTO","created_at":"2026-07-05T00:19:25Z"},{"alias_kind":"pith_short_8","alias_value":"QZ6565A7","created_at":"2026-07-05T00:19:25Z"}],"graph_snapshots":[{"event_id":"sha256:ce3d6d4075a346f686b7011b43353cf6dd2918662c0afd40708c74dbb795bf50","target":"graph","created_at":"2026-07-05T00:19:25Z","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/1911.06687/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper proposes to use deep radiomic features (DRFs) from a convolutional neural network (CNN) to model fine-grained texture signatures in the radiomic analysis of recurrent glioblastoma (rGBM). We use DRFs to predict survival of rGBM patients with preoperative T1-weighted post-contrast MR images (n=100). DRFs are extracted from regions of interest labelled by a radiation oncologist and used to compare between short-term and long-term survival patient groups. Random forest (RF) classification is employed to predict survival outcome (i.e., short or long survival), as well as to identify hig","authors_text":"Ahmad Chaddad, Christian Desrosiers, Mingli Zhang, Saima Rathore, Tamim Niazi","cross_cats":["eess.IV","q-bio.QM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-15T15:18:38Z","title":"Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.06687","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":"sha256:439045b8eef3df0b79f8622ee1f852d59c8bf826f6a75b6de9c169e0f707a82c","target":"record","created_at":"2026-07-05T00:19:25Z","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":"b72341c2cb6e6c504940065c1b1f9f1f07101ef0a344e8242845bf3d33888886","cross_cats_sorted":["eess.IV","q-bio.QM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-15T15:18:38Z","title_canon_sha256":"d373cb9240cbdf56e3d4876a0fadf3c65f5f9b00f0d8533e6566128eeb59be26"},"schema_version":"1.0","source":{"id":"1911.06687","kind":"arxiv","version":1}},"canonical_sha256":"867ddf741f858d970e6e332665bf9472fcd25dccfdf5dc93cca8f9325f31902d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"867ddf741f858d970e6e332665bf9472fcd25dccfdf5dc93cca8f9325f31902d","first_computed_at":"2026-07-05T00:19:25.944075Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:19:25.944075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mhRR31zDeI4eZBDyjc04tavxYk998zyFbZvXmwxYv7QjYpnbPnNkzfQtjsjjy/hq7qBtHaLPYZGf88z3I3cCAg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:19:25.944463Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.06687","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:439045b8eef3df0b79f8622ee1f852d59c8bf826f6a75b6de9c169e0f707a82c","sha256:ce3d6d4075a346f686b7011b43353cf6dd2918662c0afd40708c74dbb795bf50"],"state_sha256":"40894eddd50bb5f1694645286bfcc8b58409e4557fef747105b842fe64824965"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oDi+OF2zJ4N5zOnAUEJkPAy0AVoiLEQUaYM5ydyf5ZUct1drWXRyD57mnStt2m2/CFJWbI51hWWyXDSwFkHBBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T06:47:16.884997Z","bundle_sha256":"5c67f9395459aa2f95b474a84752e6f5344541ea7062dc9b8559ef5714a1759a"}}