{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:6LQUTQQEXMJOJA7EWKIGVY23UB","short_pith_number":"pith:6LQUTQQE","canonical_record":{"source":{"id":"2002.09708","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-22T14:32:04Z","cross_cats_sorted":[],"title_canon_sha256":"477d52afccd850525b0afa98b879f0705e2bc55532fbc271fbda65c5cab1dc22","abstract_canon_sha256":"6a186722109e53fd3d8a393496cd3d5b769a2c8cb5bf59ca96220bb5563e2c79"},"schema_version":"1.0"},"canonical_sha256":"f2e149c204bb12e483e4b2906ae35ba04f177548148b9fb28767c2fede33bbf4","source":{"kind":"arxiv","id":"2002.09708","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.09708","created_at":"2026-07-05T00:43:11Z"},{"alias_kind":"arxiv_version","alias_value":"2002.09708v1","created_at":"2026-07-05T00:43:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.09708","created_at":"2026-07-05T00:43:11Z"},{"alias_kind":"pith_short_12","alias_value":"6LQUTQQEXMJO","created_at":"2026-07-05T00:43:11Z"},{"alias_kind":"pith_short_16","alias_value":"6LQUTQQEXMJOJA7E","created_at":"2026-07-05T00:43:11Z"},{"alias_kind":"pith_short_8","alias_value":"6LQUTQQE","created_at":"2026-07-05T00:43:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:6LQUTQQEXMJOJA7EWKIGVY23UB","target":"record","payload":{"canonical_record":{"source":{"id":"2002.09708","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-22T14:32:04Z","cross_cats_sorted":[],"title_canon_sha256":"477d52afccd850525b0afa98b879f0705e2bc55532fbc271fbda65c5cab1dc22","abstract_canon_sha256":"6a186722109e53fd3d8a393496cd3d5b769a2c8cb5bf59ca96220bb5563e2c79"},"schema_version":"1.0"},"canonical_sha256":"f2e149c204bb12e483e4b2906ae35ba04f177548148b9fb28767c2fede33bbf4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:43:11.045250Z","signature_b64":"dUXBNstDHAu5fsqt1JJFEmIkVrNqrPhptqfU0hNTZGm2/1XutxOvvC/67Dat607i6KB2FBGkK3qB6iezNHTwDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f2e149c204bb12e483e4b2906ae35ba04f177548148b9fb28767c2fede33bbf4","last_reissued_at":"2026-07-05T00:43:11.044765Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:43:11.044765Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2002.09708","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":"2026-07-05T00:43:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hWcZELFZFFlQbzZyczGGDb2QnutTCSjPl9jt9jvzI20as2ixVYbRwn5wdHZ74IPbfdrN3rhxboImPyCjhd1bDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T02:33:54.896425Z"},"content_sha256":"32d6c274b6c2c3590bc15f7d6823ea4aba646633d0e714d259320e54b8598dba","schema_version":"1.0","event_id":"sha256:32d6c274b6c2c3590bc15f7d6823ea4aba646633d0e714d259320e54b8598dba"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:6LQUTQQEXMJOJA7EWKIGVY23UB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cheng Chen, Hao Chen, Jing Qin, Pheng-Ann Heng, Qi Dou, Yueming Jin","submitted_at":"2020-02-22T14:32:04Z","abstract_excerpt":"Accurate medical image segmentation commonly requires effective learning of the complementary information from multimodal data. However, in clinical practice, we often encounter the problem of missing imaging modalities. We tackle this challenge and propose a novel multimodal segmentation framework which is robust to the absence of imaging modalities. Our network uses feature disentanglement to decompose the input modalities into the modality-specific appearance code, which uniquely sticks to each modality, and the modality-invariant content code, which absorbs multimodal information for the s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.09708","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/2002.09708/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":"2026-07-05T00:43:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VKDH0/iHLQeQ1/mHo9jHYYQIe8R60cQhtTais+K4uaYrg5cS+IPO/WbGU8jrl8mvWYn43iOi0pmpKnhSWXIlDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T02:33:54.896850Z"},"content_sha256":"2e6d2975bbe250c27f681d94900635c460f7c15bdc5cb657fa6f719842b206d8","schema_version":"1.0","event_id":"sha256:2e6d2975bbe250c27f681d94900635c460f7c15bdc5cb657fa6f719842b206d8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6LQUTQQEXMJOJA7EWKIGVY23UB/bundle.json","state_url":"https://pith.science/pith/6LQUTQQEXMJOJA7EWKIGVY23UB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6LQUTQQEXMJOJA7EWKIGVY23UB/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":"2026-08-07T02:33:54Z","links":{"resolver":"https://pith.science/pith/6LQUTQQEXMJOJA7EWKIGVY23UB","bundle":"https://pith.science/pith/6LQUTQQEXMJOJA7EWKIGVY23UB/bundle.json","state":"https://pith.science/pith/6LQUTQQEXMJOJA7EWKIGVY23UB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6LQUTQQEXMJOJA7EWKIGVY23UB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:6LQUTQQEXMJOJA7EWKIGVY23UB","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":"6a186722109e53fd3d8a393496cd3d5b769a2c8cb5bf59ca96220bb5563e2c79","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-22T14:32:04Z","title_canon_sha256":"477d52afccd850525b0afa98b879f0705e2bc55532fbc271fbda65c5cab1dc22"},"schema_version":"1.0","source":{"id":"2002.09708","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.09708","created_at":"2026-07-05T00:43:11Z"},{"alias_kind":"arxiv_version","alias_value":"2002.09708v1","created_at":"2026-07-05T00:43:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.09708","created_at":"2026-07-05T00:43:11Z"},{"alias_kind":"pith_short_12","alias_value":"6LQUTQQEXMJO","created_at":"2026-07-05T00:43:11Z"},{"alias_kind":"pith_short_16","alias_value":"6LQUTQQEXMJOJA7E","created_at":"2026-07-05T00:43:11Z"},{"alias_kind":"pith_short_8","alias_value":"6LQUTQQE","created_at":"2026-07-05T00:43:11Z"}],"graph_snapshots":[{"event_id":"sha256:2e6d2975bbe250c27f681d94900635c460f7c15bdc5cb657fa6f719842b206d8","target":"graph","created_at":"2026-07-05T00:43:11Z","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/2002.09708/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate medical image segmentation commonly requires effective learning of the complementary information from multimodal data. However, in clinical practice, we often encounter the problem of missing imaging modalities. We tackle this challenge and propose a novel multimodal segmentation framework which is robust to the absence of imaging modalities. Our network uses feature disentanglement to decompose the input modalities into the modality-specific appearance code, which uniquely sticks to each modality, and the modality-invariant content code, which absorbs multimodal information for the s","authors_text":"Cheng Chen, Hao Chen, Jing Qin, Pheng-Ann Heng, Qi Dou, Yueming Jin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-22T14:32:04Z","title":"Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.09708","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":"sha256:32d6c274b6c2c3590bc15f7d6823ea4aba646633d0e714d259320e54b8598dba","target":"record","created_at":"2026-07-05T00:43:11Z","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":"6a186722109e53fd3d8a393496cd3d5b769a2c8cb5bf59ca96220bb5563e2c79","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-22T14:32:04Z","title_canon_sha256":"477d52afccd850525b0afa98b879f0705e2bc55532fbc271fbda65c5cab1dc22"},"schema_version":"1.0","source":{"id":"2002.09708","kind":"arxiv","version":1}},"canonical_sha256":"f2e149c204bb12e483e4b2906ae35ba04f177548148b9fb28767c2fede33bbf4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f2e149c204bb12e483e4b2906ae35ba04f177548148b9fb28767c2fede33bbf4","first_computed_at":"2026-07-05T00:43:11.044765Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:43:11.044765Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dUXBNstDHAu5fsqt1JJFEmIkVrNqrPhptqfU0hNTZGm2/1XutxOvvC/67Dat607i6KB2FBGkK3qB6iezNHTwDg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:43:11.045250Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.09708","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:32d6c274b6c2c3590bc15f7d6823ea4aba646633d0e714d259320e54b8598dba","sha256:2e6d2975bbe250c27f681d94900635c460f7c15bdc5cb657fa6f719842b206d8"],"state_sha256":"e0b8ef945641798f324b3c33ad3b7035a7a7d7bfd15399ead28c4a111a334eff"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4gv/k9+L8xW8ErdTIISZ1csnLawYYcFjL4MmljNSAIrC8Itk6YJkEBfzuF7Jo1FQJ2Dx349czynzJekvjhk/BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T02:33:54.899913Z","bundle_sha256":"eb02768d5ce8f2abefa4029a69345d9f18d8b4385dcc4e47b90e9a9d6caf3644"}}