{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:BSSGBWGHH2LUHB6AKLI7LFOLR5","short_pith_number":"pith:BSSGBWGH","canonical_record":{"source":{"id":"2103.16617","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2021-03-30T18:41:29Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"ff93c8a16c9c1959934231c0dabf47f2c33737bf33d7d79a9b93ed1f8c9f9cbf","abstract_canon_sha256":"b2c0cf0292e34dc37f22b6b3731add4aa3752331841fbfdb5b9adce9e22d2c69"},"schema_version":"1.0"},"canonical_sha256":"0ca460d8c73e974387c052d1f595cb8f60c8412e78bb9372367793789b5b46a6","source":{"kind":"arxiv","id":"2103.16617","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.16617","created_at":"2026-07-05T02:39:59Z"},{"alias_kind":"arxiv_version","alias_value":"2103.16617v4","created_at":"2026-07-05T02:39:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.16617","created_at":"2026-07-05T02:39:59Z"},{"alias_kind":"pith_short_12","alias_value":"BSSGBWGHH2LU","created_at":"2026-07-05T02:39:59Z"},{"alias_kind":"pith_short_16","alias_value":"BSSGBWGHH2LUHB6A","created_at":"2026-07-05T02:39:59Z"},{"alias_kind":"pith_short_8","alias_value":"BSSGBWGH","created_at":"2026-07-05T02:39:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:BSSGBWGHH2LUHB6AKLI7LFOLR5","target":"record","payload":{"canonical_record":{"source":{"id":"2103.16617","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2021-03-30T18:41:29Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"ff93c8a16c9c1959934231c0dabf47f2c33737bf33d7d79a9b93ed1f8c9f9cbf","abstract_canon_sha256":"b2c0cf0292e34dc37f22b6b3731add4aa3752331841fbfdb5b9adce9e22d2c69"},"schema_version":"1.0"},"canonical_sha256":"0ca460d8c73e974387c052d1f595cb8f60c8412e78bb9372367793789b5b46a6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:39:59.080131Z","signature_b64":"hGt2i/IXa76hzIe/udRE9hdym5NznTLmd3ojsi21x1u7G+EDRfHfk8WW3N45GCPmABdcAtA9Ohs26mknqF1YBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0ca460d8c73e974387c052d1f595cb8f60c8412e78bb9372367793789b5b46a6","last_reissued_at":"2026-07-05T02:39:59.079634Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:39:59.079634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.16617","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:39:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dsj9THCpe5NxAMp1hxcH8X9A0bb48LNSoHuGZYCH+KziiKRrqefyDz/qzViQrQvFeUcd6p7TVyAU90WHyt67CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T15:36:03.352011Z"},"content_sha256":"3379afda2eb108b6f4275d5f17d7b0702d1b59d00b13393d3be1a7815341fa07","schema_version":"1.0","event_id":"sha256:3379afda2eb108b6f4275d5f17d7b0702d1b59d00b13393d3be1a7815341fa07"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:BSSGBWGHH2LUHB6AKLI7LFOLR5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Brennan Nichyporuk, James J. Clark, Nazanin Mohammadi Sepahvand, Raghav Mehta, Saverio Vadacchino, Tal Arbel","submitted_at":"2021-03-30T18:41:29Z","abstract_excerpt":"Segmentation of enhancing tumours or lesions from MRI is important for detecting new disease activity in many clinical contexts. However, accurate segmentation requires the inclusion of medical images (e.g., T1 post contrast MRI) acquired after injecting patients with a contrast agent (e.g., Gadolinium), a process no longer thought to be safe. Although a number of modality-agnostic segmentation networks have been developed over the past few years, they have been met with limited success in the context of enhancing pathology segmentation. In this work, we present HAD-Net, a novel offline advers"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.16617","kind":"arxiv","version":4},"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/2103.16617/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":"2026-07-05T02:39:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9pNvjhMl/YQAVZT0lQ2WzD9R9fyQbZa7GcCXnaMff03umwaP19XGUL+kn6XQRFCsIqZ/bt7H0VJ68n0qDVTiAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T15:36:03.352571Z"},"content_sha256":"e525181a30be75a711dc393696e6b59f65da5ac0a5e8b3eaae66eb08e7fe7d63","schema_version":"1.0","event_id":"sha256:e525181a30be75a711dc393696e6b59f65da5ac0a5e8b3eaae66eb08e7fe7d63"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BSSGBWGHH2LUHB6AKLI7LFOLR5/bundle.json","state_url":"https://pith.science/pith/BSSGBWGHH2LUHB6AKLI7LFOLR5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BSSGBWGHH2LUHB6AKLI7LFOLR5/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":"2026-08-10T15:36:03Z","links":{"resolver":"https://pith.science/pith/BSSGBWGHH2LUHB6AKLI7LFOLR5","bundle":"https://pith.science/pith/BSSGBWGHH2LUHB6AKLI7LFOLR5/bundle.json","state":"https://pith.science/pith/BSSGBWGHH2LUHB6AKLI7LFOLR5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BSSGBWGHH2LUHB6AKLI7LFOLR5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:BSSGBWGHH2LUHB6AKLI7LFOLR5","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":"b2c0cf0292e34dc37f22b6b3731add4aa3752331841fbfdb5b9adce9e22d2c69","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2021-03-30T18:41:29Z","title_canon_sha256":"ff93c8a16c9c1959934231c0dabf47f2c33737bf33d7d79a9b93ed1f8c9f9cbf"},"schema_version":"1.0","source":{"id":"2103.16617","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.16617","created_at":"2026-07-05T02:39:59Z"},{"alias_kind":"arxiv_version","alias_value":"2103.16617v4","created_at":"2026-07-05T02:39:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.16617","created_at":"2026-07-05T02:39:59Z"},{"alias_kind":"pith_short_12","alias_value":"BSSGBWGHH2LU","created_at":"2026-07-05T02:39:59Z"},{"alias_kind":"pith_short_16","alias_value":"BSSGBWGHH2LUHB6A","created_at":"2026-07-05T02:39:59Z"},{"alias_kind":"pith_short_8","alias_value":"BSSGBWGH","created_at":"2026-07-05T02:39:59Z"}],"graph_snapshots":[{"event_id":"sha256:e525181a30be75a711dc393696e6b59f65da5ac0a5e8b3eaae66eb08e7fe7d63","target":"graph","created_at":"2026-07-05T02:39:59Z","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/2103.16617/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Segmentation of enhancing tumours or lesions from MRI is important for detecting new disease activity in many clinical contexts. However, accurate segmentation requires the inclusion of medical images (e.g., T1 post contrast MRI) acquired after injecting patients with a contrast agent (e.g., Gadolinium), a process no longer thought to be safe. Although a number of modality-agnostic segmentation networks have been developed over the past few years, they have been met with limited success in the context of enhancing pathology segmentation. In this work, we present HAD-Net, a novel offline advers","authors_text":"Brennan Nichyporuk, James J. Clark, Nazanin Mohammadi Sepahvand, Raghav Mehta, Saverio Vadacchino, Tal Arbel","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2021-03-30T18:41:29Z","title":"HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.16617","kind":"arxiv","version":4},"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":"sha256:3379afda2eb108b6f4275d5f17d7b0702d1b59d00b13393d3be1a7815341fa07","target":"record","created_at":"2026-07-05T02:39:59Z","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":"b2c0cf0292e34dc37f22b6b3731add4aa3752331841fbfdb5b9adce9e22d2c69","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2021-03-30T18:41:29Z","title_canon_sha256":"ff93c8a16c9c1959934231c0dabf47f2c33737bf33d7d79a9b93ed1f8c9f9cbf"},"schema_version":"1.0","source":{"id":"2103.16617","kind":"arxiv","version":4}},"canonical_sha256":"0ca460d8c73e974387c052d1f595cb8f60c8412e78bb9372367793789b5b46a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0ca460d8c73e974387c052d1f595cb8f60c8412e78bb9372367793789b5b46a6","first_computed_at":"2026-07-05T02:39:59.079634Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:39:59.079634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hGt2i/IXa76hzIe/udRE9hdym5NznTLmd3ojsi21x1u7G+EDRfHfk8WW3N45GCPmABdcAtA9Ohs26mknqF1YBw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:39:59.080131Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.16617","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3379afda2eb108b6f4275d5f17d7b0702d1b59d00b13393d3be1a7815341fa07","sha256:e525181a30be75a711dc393696e6b59f65da5ac0a5e8b3eaae66eb08e7fe7d63"],"state_sha256":"c58e658b55954e283c4d9edcd7082fda18c20cf3d3223619274595d496428ebf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ft0PhDpXWlLfeZI5kQN3xSDZPjamF9F/R0M8cVoVeZyh2IoS9YvpJbb6sC+p2I7sJu/gr41UhOYrImUhiRu6Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T15:36:03.358246Z","bundle_sha256":"57f026e8397e5850b8e528d9488267b74b032cdccbb9126348d496260899c617"}}