{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:VKYYLFIOBGHZBSLUHMT2JO3LW7","short_pith_number":"pith:VKYYLFIO","canonical_record":{"source":{"id":"1909.01498","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2019-09-03T23:53:11Z","cross_cats_sorted":["cs.CV","cs.LG","q-bio.QM","stat.ML"],"title_canon_sha256":"1b73507984c1c4fe9083dd509ead30051cd88d30e6ada0c3738aa147dbe14642","abstract_canon_sha256":"17efce4a03f68502df1a1dd95e91f0a7216ec86ba708e1b17309ca61bccc3254"},"schema_version":"1.0"},"canonical_sha256":"aab185950e098f90c9743b27a4bb6bb7e59a633a321550f617178ed34c6b79f3","source":{"kind":"arxiv","id":"1909.01498","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.01498","created_at":"2026-07-05T00:35:51Z"},{"alias_kind":"arxiv_version","alias_value":"1909.01498v3","created_at":"2026-07-05T00:35:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.01498","created_at":"2026-07-05T00:35:51Z"},{"alias_kind":"pith_short_12","alias_value":"VKYYLFIOBGHZ","created_at":"2026-07-05T00:35:51Z"},{"alias_kind":"pith_short_16","alias_value":"VKYYLFIOBGHZBSLU","created_at":"2026-07-05T00:35:51Z"},{"alias_kind":"pith_short_8","alias_value":"VKYYLFIO","created_at":"2026-07-05T00:35:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:VKYYLFIOBGHZBSLUHMT2JO3LW7","target":"record","payload":{"canonical_record":{"source":{"id":"1909.01498","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2019-09-03T23:53:11Z","cross_cats_sorted":["cs.CV","cs.LG","q-bio.QM","stat.ML"],"title_canon_sha256":"1b73507984c1c4fe9083dd509ead30051cd88d30e6ada0c3738aa147dbe14642","abstract_canon_sha256":"17efce4a03f68502df1a1dd95e91f0a7216ec86ba708e1b17309ca61bccc3254"},"schema_version":"1.0"},"canonical_sha256":"aab185950e098f90c9743b27a4bb6bb7e59a633a321550f617178ed34c6b79f3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:35:51.817906Z","signature_b64":"Ff6RG4UcUuiuarLGfqt5/twmEgu4eAUjUYBQ4B+8uTGXWpEuNdgxqFEWtp3v0nTm8+gN9n+Mrwg2paz2a+tYCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aab185950e098f90c9743b27a4bb6bb7e59a633a321550f617178ed34c6b79f3","last_reissued_at":"2026-07-05T00:35:51.817470Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:35:51.817470Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1909.01498","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:35:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Xy7M6uMqOoPSudTdHAXeTsp7R5jHnfFMFcvmL/S7uKH978yBKtW38HNoOA7T9toImqdYyYsle4x9W7X698vDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T16:41:10.657250Z"},"content_sha256":"690708946b710dc97a8c4fdb7080c68f5bddef6c700d606bb0e37d174ba69def","schema_version":"1.0","event_id":"sha256:690708946b710dc97a8c4fdb7080c68f5bddef6c700d606bb0e37d174ba69def"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:VKYYLFIOBGHZBSLUHMT2JO3LW7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG","q-bio.QM","stat.ML"],"primary_cat":"eess.IV","authors_text":"Avinash Kori, Ganapathy Krishnamurthi, Parth Natekar","submitted_at":"2019-09-03T23:53:11Z","abstract_excerpt":"The accurate automatic segmentation of gliomas and its intra-tumoral structures is important not only for treatment planning but also for follow-up evaluations. Several methods based on 2D and 3D Deep Neural Networks (DNN) have been developed to segment brain tumors and to classify different categories of tumors from different MRI modalities. However, these networks are often black-box models and do not provide any evidence regarding the process they take to perform this task. Increasing transparency and interpretability of such deep learning techniques are necessary for the complete integrati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.01498","kind":"arxiv","version":3},"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/1909.01498/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":"2026-07-05T00:35:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9lYBdQ+ANGaFjxgn41vTFoqiTMWPbCJzhxTW3X/rNAQdu5pY9qTiIB5fJAX4KXQtHc3P9Eadxvu9ejx8RsTSBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T16:41:10.657762Z"},"content_sha256":"a0c943b2346b28d349a0e8b50cc97671ea8533d08a02ff32513755f2c8cd77d7","schema_version":"1.0","event_id":"sha256:a0c943b2346b28d349a0e8b50cc97671ea8533d08a02ff32513755f2c8cd77d7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VKYYLFIOBGHZBSLUHMT2JO3LW7/bundle.json","state_url":"https://pith.science/pith/VKYYLFIOBGHZBSLUHMT2JO3LW7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VKYYLFIOBGHZBSLUHMT2JO3LW7/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":"2026-08-14T16:41:10Z","links":{"resolver":"https://pith.science/pith/VKYYLFIOBGHZBSLUHMT2JO3LW7","bundle":"https://pith.science/pith/VKYYLFIOBGHZBSLUHMT2JO3LW7/bundle.json","state":"https://pith.science/pith/VKYYLFIOBGHZBSLUHMT2JO3LW7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VKYYLFIOBGHZBSLUHMT2JO3LW7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:VKYYLFIOBGHZBSLUHMT2JO3LW7","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":"17efce4a03f68502df1a1dd95e91f0a7216ec86ba708e1b17309ca61bccc3254","cross_cats_sorted":["cs.CV","cs.LG","q-bio.QM","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2019-09-03T23:53:11Z","title_canon_sha256":"1b73507984c1c4fe9083dd509ead30051cd88d30e6ada0c3738aa147dbe14642"},"schema_version":"1.0","source":{"id":"1909.01498","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.01498","created_at":"2026-07-05T00:35:51Z"},{"alias_kind":"arxiv_version","alias_value":"1909.01498v3","created_at":"2026-07-05T00:35:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.01498","created_at":"2026-07-05T00:35:51Z"},{"alias_kind":"pith_short_12","alias_value":"VKYYLFIOBGHZ","created_at":"2026-07-05T00:35:51Z"},{"alias_kind":"pith_short_16","alias_value":"VKYYLFIOBGHZBSLU","created_at":"2026-07-05T00:35:51Z"},{"alias_kind":"pith_short_8","alias_value":"VKYYLFIO","created_at":"2026-07-05T00:35:51Z"}],"graph_snapshots":[{"event_id":"sha256:a0c943b2346b28d349a0e8b50cc97671ea8533d08a02ff32513755f2c8cd77d7","target":"graph","created_at":"2026-07-05T00:35:51Z","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/1909.01498/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The accurate automatic segmentation of gliomas and its intra-tumoral structures is important not only for treatment planning but also for follow-up evaluations. Several methods based on 2D and 3D Deep Neural Networks (DNN) have been developed to segment brain tumors and to classify different categories of tumors from different MRI modalities. However, these networks are often black-box models and do not provide any evidence regarding the process they take to perform this task. Increasing transparency and interpretability of such deep learning techniques are necessary for the complete integrati","authors_text":"Avinash Kori, Ganapathy Krishnamurthi, Parth Natekar","cross_cats":["cs.CV","cs.LG","q-bio.QM","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2019-09-03T23:53:11Z","title":"Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.01498","kind":"arxiv","version":3},"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":"sha256:690708946b710dc97a8c4fdb7080c68f5bddef6c700d606bb0e37d174ba69def","target":"record","created_at":"2026-07-05T00:35:51Z","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":"17efce4a03f68502df1a1dd95e91f0a7216ec86ba708e1b17309ca61bccc3254","cross_cats_sorted":["cs.CV","cs.LG","q-bio.QM","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2019-09-03T23:53:11Z","title_canon_sha256":"1b73507984c1c4fe9083dd509ead30051cd88d30e6ada0c3738aa147dbe14642"},"schema_version":"1.0","source":{"id":"1909.01498","kind":"arxiv","version":3}},"canonical_sha256":"aab185950e098f90c9743b27a4bb6bb7e59a633a321550f617178ed34c6b79f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aab185950e098f90c9743b27a4bb6bb7e59a633a321550f617178ed34c6b79f3","first_computed_at":"2026-07-05T00:35:51.817470Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:35:51.817470Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ff6RG4UcUuiuarLGfqt5/twmEgu4eAUjUYBQ4B+8uTGXWpEuNdgxqFEWtp3v0nTm8+gN9n+Mrwg2paz2a+tYCg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:35:51.817906Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.01498","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:690708946b710dc97a8c4fdb7080c68f5bddef6c700d606bb0e37d174ba69def","sha256:a0c943b2346b28d349a0e8b50cc97671ea8533d08a02ff32513755f2c8cd77d7"],"state_sha256":"9236f4c5c452a2fcc4ff6934bbbeee140e57e34ace901cae896f1c3392db7777"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4ZeLnkiSXXmljjaUhjYIfhYfMprtK9Fjgy1WCxqmb7Dr/ko/WK0B+RbklDiv5z2PgGVMYuBk+EppBa4GqcV1Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T16:41:10.662606Z","bundle_sha256":"4805cbcdad5ad1175c9f97a1838dbe861e1554d5976db06dee7565e8425876de"}}