{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5K3Z6UU5CNN66OICQAPQZDR42O","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":"48db2866e124a415c350a74b63c3db853eb13ac15e7dca29cfc9b5d78a220d73","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-17T09:12:08Z","title_canon_sha256":"f83bc3341b8458e75da818f3745f436ffa3a69964fca26da0ccef09a1283bf63"},"schema_version":"1.0","source":{"id":"2505.11921","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.11921","created_at":"2026-07-05T11:04:54Z"},{"alias_kind":"arxiv_version","alias_value":"2505.11921v1","created_at":"2026-07-05T11:04:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.11921","created_at":"2026-07-05T11:04:54Z"},{"alias_kind":"pith_short_12","alias_value":"5K3Z6UU5CNN6","created_at":"2026-07-05T11:04:54Z"},{"alias_kind":"pith_short_16","alias_value":"5K3Z6UU5CNN66OIC","created_at":"2026-07-05T11:04:54Z"},{"alias_kind":"pith_short_8","alias_value":"5K3Z6UU5","created_at":"2026-07-05T11:04:54Z"}],"graph_snapshots":[{"event_id":"sha256:c9cb283233bd93ea6e24f9f3a69d966ac8fed14796210813337e496a98651fcd","target":"graph","created_at":"2026-07-05T11:04:54Z","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/2505.11921/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate segmentation of brain images typically requires the integration of complementary information from multiple image modalities. However, clinical data for all modalities may not be available for every patient, creating a significant challenge. To address this, previous studies encode multiple modalities into a shared latent space. While somewhat effective, it remains suboptimal, as each modality contains distinct and valuable information. In this study, we propose DC-Seg (Disentangled Contrastive Learning for Segmentation), a new method that explicitly disentangles images into modality-i","authors_text":"Haitao Li, Yiheng Mao, Zhengxing Huang, Zhengyao Ding, Ziyu Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-17T09:12:08Z","title":"DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.11921","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":"sha256:4ec1f06123982e06ed4c04b279950215cd4b889b9dfdc5ea1f99a8d5a7e7644c","target":"record","created_at":"2026-07-05T11:04:54Z","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":"48db2866e124a415c350a74b63c3db853eb13ac15e7dca29cfc9b5d78a220d73","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-17T09:12:08Z","title_canon_sha256":"f83bc3341b8458e75da818f3745f436ffa3a69964fca26da0ccef09a1283bf63"},"schema_version":"1.0","source":{"id":"2505.11921","kind":"arxiv","version":1}},"canonical_sha256":"eab79f529d135bef3902801f0c8e3cd3a289c10ba3fa679b6da23321b9e7ecd0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eab79f529d135bef3902801f0c8e3cd3a289c10ba3fa679b6da23321b9e7ecd0","first_computed_at":"2026-07-05T11:04:54.733380Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:04:54.733380Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4azjRtgVdGAisbDB5Z/hlOaAJgE6H+d4/h63X6ay3zWz49FnvvF//P3UbtH0avKiy6FKDTQSEdAHLXhMsfHAAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:04:54.733903Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.11921","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4ec1f06123982e06ed4c04b279950215cd4b889b9dfdc5ea1f99a8d5a7e7644c","sha256:c9cb283233bd93ea6e24f9f3a69d966ac8fed14796210813337e496a98651fcd"],"state_sha256":"19803a22b3872648eba316fc7ed9f91fca3ee4bbd2f2274a6674c56b9ed22545"}