{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KHOVWZ77JXRTM7W7JK5J4YU33T","short_pith_number":"pith:KHOVWZ77","canonical_record":{"source":{"id":"2503.21124","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-27T03:27:55Z","cross_cats_sorted":[],"title_canon_sha256":"014bfd83d13011d116828aab0be6199c85cba6b5bda8d580809f709d71943e8d","abstract_canon_sha256":"c33011fff4084ae8743670a5e6f04341bbcf38665deadabe7a04821e6e9eee8b"},"schema_version":"1.0"},"canonical_sha256":"51dd5b67ff4de3367edf4aba9e629bdccfc013bcaa9a8638dce6ccb688b1a5a5","source":{"kind":"arxiv","id":"2503.21124","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.21124","created_at":"2026-07-05T10:40:20Z"},{"alias_kind":"arxiv_version","alias_value":"2503.21124v1","created_at":"2026-07-05T10:40:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.21124","created_at":"2026-07-05T10:40:20Z"},{"alias_kind":"pith_short_12","alias_value":"KHOVWZ77JXRT","created_at":"2026-07-05T10:40:20Z"},{"alias_kind":"pith_short_16","alias_value":"KHOVWZ77JXRTM7W7","created_at":"2026-07-05T10:40:20Z"},{"alias_kind":"pith_short_8","alias_value":"KHOVWZ77","created_at":"2026-07-05T10:40:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KHOVWZ77JXRTM7W7JK5J4YU33T","target":"record","payload":{"canonical_record":{"source":{"id":"2503.21124","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-27T03:27:55Z","cross_cats_sorted":[],"title_canon_sha256":"014bfd83d13011d116828aab0be6199c85cba6b5bda8d580809f709d71943e8d","abstract_canon_sha256":"c33011fff4084ae8743670a5e6f04341bbcf38665deadabe7a04821e6e9eee8b"},"schema_version":"1.0"},"canonical_sha256":"51dd5b67ff4de3367edf4aba9e629bdccfc013bcaa9a8638dce6ccb688b1a5a5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:40:20.077537Z","signature_b64":"QYtlhry4YoDDALnCsM53+ZtQYtZY4anqtpUIMadxQJBVbYs4jBhj9xCzK6SQQwivagczfLX1el/ZicJZAYEuBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"51dd5b67ff4de3367edf4aba9e629bdccfc013bcaa9a8638dce6ccb688b1a5a5","last_reissued_at":"2026-07-05T10:40:20.077064Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:40:20.077064Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.21124","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":"2026-07-05T10:40:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yaEUuOuIM0VmXlB67cJyCEgqdiYAPjrcqiTxvZEaQoMx6d2G6WCXQIRe94KtP6eDz0QENJULpd/dLORRwC5FDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T08:14:53.977023Z"},"content_sha256":"e20577cfd18a96a209d2922f2938f110df18cc813570ba3e7df13a2c91d6b634","schema_version":"1.0","event_id":"sha256:e20577cfd18a96a209d2922f2938f110df18cc813570ba3e7df13a2c91d6b634"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KHOVWZ77JXRTM7W7JK5J4YU33T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AdaMHF: Adaptive Multimodal Hierarchical Fusion for Survival Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Rongxiang Zhang, Shuaiyu Zhang, Tao Tan, Xunbin Zheng, Xun Lin, Yong Xu, Yu Bai, Zitong Yu","submitted_at":"2025-03-27T03:27:55Z","abstract_excerpt":"The integration of pathologic images and genomic data for survival analysis has gained increasing attention with advances in multimodal learning. However, current methods often ignore biological characteristics, such as heterogeneity and sparsity, both within and across modalities, ultimately limiting their adaptability to clinical practice. To address these challenges, we propose AdaMHF: Adaptive Multimodal Hierarchical Fusion, a framework designed for efficient, comprehensive, and tailored feature extraction and fusion. AdaMHF is specifically adapted to the uniqueness of medical data, enabli"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.21124","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/2503.21124/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":"2026-07-05T10:40:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IM78oR9mc6ZgdXrDrSMWinEZADgM1GauN+9IOKO+BuVftSrzLLhiwPpp4VnMXu9aApyFQE5MNh3Nl2l/inPsAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T08:14:53.977962Z"},"content_sha256":"7e6390a331360a19763171bd737d36a554e53a232e7a0b0afb35f872849d15f3","schema_version":"1.0","event_id":"sha256:7e6390a331360a19763171bd737d36a554e53a232e7a0b0afb35f872849d15f3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KHOVWZ77JXRTM7W7JK5J4YU33T/bundle.json","state_url":"https://pith.science/pith/KHOVWZ77JXRTM7W7JK5J4YU33T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KHOVWZ77JXRTM7W7JK5J4YU33T/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":"2026-08-14T08:14:53Z","links":{"resolver":"https://pith.science/pith/KHOVWZ77JXRTM7W7JK5J4YU33T","bundle":"https://pith.science/pith/KHOVWZ77JXRTM7W7JK5J4YU33T/bundle.json","state":"https://pith.science/pith/KHOVWZ77JXRTM7W7JK5J4YU33T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KHOVWZ77JXRTM7W7JK5J4YU33T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KHOVWZ77JXRTM7W7JK5J4YU33T","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":"c33011fff4084ae8743670a5e6f04341bbcf38665deadabe7a04821e6e9eee8b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-27T03:27:55Z","title_canon_sha256":"014bfd83d13011d116828aab0be6199c85cba6b5bda8d580809f709d71943e8d"},"schema_version":"1.0","source":{"id":"2503.21124","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.21124","created_at":"2026-07-05T10:40:20Z"},{"alias_kind":"arxiv_version","alias_value":"2503.21124v1","created_at":"2026-07-05T10:40:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.21124","created_at":"2026-07-05T10:40:20Z"},{"alias_kind":"pith_short_12","alias_value":"KHOVWZ77JXRT","created_at":"2026-07-05T10:40:20Z"},{"alias_kind":"pith_short_16","alias_value":"KHOVWZ77JXRTM7W7","created_at":"2026-07-05T10:40:20Z"},{"alias_kind":"pith_short_8","alias_value":"KHOVWZ77","created_at":"2026-07-05T10:40:20Z"}],"graph_snapshots":[{"event_id":"sha256:7e6390a331360a19763171bd737d36a554e53a232e7a0b0afb35f872849d15f3","target":"graph","created_at":"2026-07-05T10:40:20Z","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/2503.21124/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The integration of pathologic images and genomic data for survival analysis has gained increasing attention with advances in multimodal learning. However, current methods often ignore biological characteristics, such as heterogeneity and sparsity, both within and across modalities, ultimately limiting their adaptability to clinical practice. To address these challenges, we propose AdaMHF: Adaptive Multimodal Hierarchical Fusion, a framework designed for efficient, comprehensive, and tailored feature extraction and fusion. AdaMHF is specifically adapted to the uniqueness of medical data, enabli","authors_text":"Rongxiang Zhang, Shuaiyu Zhang, Tao Tan, Xunbin Zheng, Xun Lin, Yong Xu, Yu Bai, Zitong Yu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-27T03:27:55Z","title":"AdaMHF: Adaptive Multimodal Hierarchical Fusion for Survival Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.21124","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:e20577cfd18a96a209d2922f2938f110df18cc813570ba3e7df13a2c91d6b634","target":"record","created_at":"2026-07-05T10:40:20Z","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":"c33011fff4084ae8743670a5e6f04341bbcf38665deadabe7a04821e6e9eee8b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-27T03:27:55Z","title_canon_sha256":"014bfd83d13011d116828aab0be6199c85cba6b5bda8d580809f709d71943e8d"},"schema_version":"1.0","source":{"id":"2503.21124","kind":"arxiv","version":1}},"canonical_sha256":"51dd5b67ff4de3367edf4aba9e629bdccfc013bcaa9a8638dce6ccb688b1a5a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"51dd5b67ff4de3367edf4aba9e629bdccfc013bcaa9a8638dce6ccb688b1a5a5","first_computed_at":"2026-07-05T10:40:20.077064Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:40:20.077064Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QYtlhry4YoDDALnCsM53+ZtQYtZY4anqtpUIMadxQJBVbYs4jBhj9xCzK6SQQwivagczfLX1el/ZicJZAYEuBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:40:20.077537Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.21124","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e20577cfd18a96a209d2922f2938f110df18cc813570ba3e7df13a2c91d6b634","sha256:7e6390a331360a19763171bd737d36a554e53a232e7a0b0afb35f872849d15f3"],"state_sha256":"8de314f9fc781529ba5a9814dfbd92957b30cb6979cd8f26c173d073c49027c2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z1p17zF+uKsCcFpdpVXDS/58+4DMHrXlv/qckrApGC+Mwm2xKMlSJe42lzIg8bgZO1gaQUQ8tnFUrl2tTpgGBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T08:14:53.984550Z","bundle_sha256":"adb8183c72204bc134d98ac30a753bc24205b1a6cc78011133c4270872db3405"}}