{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WAAERBHLYEI2P6OQEJZ5VMYEHA","short_pith_number":"pith:WAAERBHL","canonical_record":{"source":{"id":"2501.18170","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-30T06:49:57Z","cross_cats_sorted":[],"title_canon_sha256":"285111640c82485b3bf63bfc43cf588d7ebd6631b30089075caa1a6a3a35dde7","abstract_canon_sha256":"4e5e774d3b5d2af22e173351205660b9a698151a6b0ac4bde10464f77bd776b8"},"schema_version":"1.0"},"canonical_sha256":"b0004884ebc111a7f9d02273dab304382fe3d4d340ab30e3ab5d79a2469c688f","source":{"kind":"arxiv","id":"2501.18170","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.18170","created_at":"2026-07-05T10:08:29Z"},{"alias_kind":"arxiv_version","alias_value":"2501.18170v2","created_at":"2026-07-05T10:08:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.18170","created_at":"2026-07-05T10:08:29Z"},{"alias_kind":"pith_short_12","alias_value":"WAAERBHLYEI2","created_at":"2026-07-05T10:08:29Z"},{"alias_kind":"pith_short_16","alias_value":"WAAERBHLYEI2P6OQ","created_at":"2026-07-05T10:08:29Z"},{"alias_kind":"pith_short_8","alias_value":"WAAERBHL","created_at":"2026-07-05T10:08:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WAAERBHLYEI2P6OQEJZ5VMYEHA","target":"record","payload":{"canonical_record":{"source":{"id":"2501.18170","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-30T06:49:57Z","cross_cats_sorted":[],"title_canon_sha256":"285111640c82485b3bf63bfc43cf588d7ebd6631b30089075caa1a6a3a35dde7","abstract_canon_sha256":"4e5e774d3b5d2af22e173351205660b9a698151a6b0ac4bde10464f77bd776b8"},"schema_version":"1.0"},"canonical_sha256":"b0004884ebc111a7f9d02273dab304382fe3d4d340ab30e3ab5d79a2469c688f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:08:29.348505Z","signature_b64":"lLtSkKcddSuZs7u6SNp6XO3SsDGJ3Z+b7NLfQdhnJutb5MraM944B1syZG3jE2R0oBO/KRT/j1lM9LhfEBZWAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b0004884ebc111a7f9d02273dab304382fe3d4d340ab30e3ab5d79a2469c688f","last_reissued_at":"2026-07-05T10:08:29.348020Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:08:29.348020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.18170","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:08:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sMJ55SiWA9bzlp0g3mXWpeJVBiHLdv9uq9XqeeX5P9TAL8QPKkIZxVF//tMZC5O+jn1MTVj7/N5+DLaewSknBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T21:55:47.323738Z"},"content_sha256":"a6c16afd79b4dbb68374f7b3e2959a769187cf1c34ea4f05f8e87a431ea137e1","schema_version":"1.0","event_id":"sha256:a6c16afd79b4dbb68374f7b3e2959a769187cf1c34ea4f05f8e87a431ea137e1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WAAERBHLYEI2P6OQEJZ5VMYEHA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Feng Xie, Jie Peng, Kaixiong Zhou, Longwei Yang, Mingquan Lin, Mohan Zhang, Rui Zhang, Shuang Zhou, Tianlong Chen, Yiran Song","submitted_at":"2025-01-30T06:49:57Z","abstract_excerpt":"Cancer prognosis is a critical task that involves predicting patient outcomes and survival rates. To enhance prediction accuracy, previous studies have integrated diverse data modalities, such as clinical notes, medical images, and genomic data, leveraging their complementary information. However, existing approaches face two major limitations. First, they struggle to incorporate newly arrived data with varying distributions into training, such as patient records from different hospitals, thus rendering sub-optimal generalizability and limited utility in real-world applications. Second, most m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.18170","kind":"arxiv","version":2},"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/2501.18170/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":"2026-07-05T10:08:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4x1v5sH5ILHLcjyiqvrPEgle/s6rY0OHjUjrex1S5QpoRcB1YlwWtw/NYaE1LubiZMwc5HLOPNPQe29iNVOMBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T21:55:47.324301Z"},"content_sha256":"05dee9dde279a791993aa8ab0f1cce63f7893b5e2bd38b20c1f4f097a8870a89","schema_version":"1.0","event_id":"sha256:05dee9dde279a791993aa8ab0f1cce63f7893b5e2bd38b20c1f4f097a8870a89"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WAAERBHLYEI2P6OQEJZ5VMYEHA/bundle.json","state_url":"https://pith.science/pith/WAAERBHLYEI2P6OQEJZ5VMYEHA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WAAERBHLYEI2P6OQEJZ5VMYEHA/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":"2026-08-19T21:55:47Z","links":{"resolver":"https://pith.science/pith/WAAERBHLYEI2P6OQEJZ5VMYEHA","bundle":"https://pith.science/pith/WAAERBHLYEI2P6OQEJZ5VMYEHA/bundle.json","state":"https://pith.science/pith/WAAERBHLYEI2P6OQEJZ5VMYEHA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WAAERBHLYEI2P6OQEJZ5VMYEHA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WAAERBHLYEI2P6OQEJZ5VMYEHA","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":"4e5e774d3b5d2af22e173351205660b9a698151a6b0ac4bde10464f77bd776b8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-30T06:49:57Z","title_canon_sha256":"285111640c82485b3bf63bfc43cf588d7ebd6631b30089075caa1a6a3a35dde7"},"schema_version":"1.0","source":{"id":"2501.18170","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.18170","created_at":"2026-07-05T10:08:29Z"},{"alias_kind":"arxiv_version","alias_value":"2501.18170v2","created_at":"2026-07-05T10:08:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.18170","created_at":"2026-07-05T10:08:29Z"},{"alias_kind":"pith_short_12","alias_value":"WAAERBHLYEI2","created_at":"2026-07-05T10:08:29Z"},{"alias_kind":"pith_short_16","alias_value":"WAAERBHLYEI2P6OQ","created_at":"2026-07-05T10:08:29Z"},{"alias_kind":"pith_short_8","alias_value":"WAAERBHL","created_at":"2026-07-05T10:08:29Z"}],"graph_snapshots":[{"event_id":"sha256:05dee9dde279a791993aa8ab0f1cce63f7893b5e2bd38b20c1f4f097a8870a89","target":"graph","created_at":"2026-07-05T10:08:29Z","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/2501.18170/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cancer prognosis is a critical task that involves predicting patient outcomes and survival rates. To enhance prediction accuracy, previous studies have integrated diverse data modalities, such as clinical notes, medical images, and genomic data, leveraging their complementary information. However, existing approaches face two major limitations. First, they struggle to incorporate newly arrived data with varying distributions into training, such as patient records from different hospitals, thus rendering sub-optimal generalizability and limited utility in real-world applications. Second, most m","authors_text":"Feng Xie, Jie Peng, Kaixiong Zhou, Longwei Yang, Mingquan Lin, Mohan Zhang, Rui Zhang, Shuang Zhou, Tianlong Chen, Yiran Song","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.18170","kind":"arxiv","version":2},"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:a6c16afd79b4dbb68374f7b3e2959a769187cf1c34ea4f05f8e87a431ea137e1","target":"record","created_at":"2026-07-05T10:08:29Z","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":"4e5e774d3b5d2af22e173351205660b9a698151a6b0ac4bde10464f77bd776b8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-30T06:49:57Z","title_canon_sha256":"285111640c82485b3bf63bfc43cf588d7ebd6631b30089075caa1a6a3a35dde7"},"schema_version":"1.0","source":{"id":"2501.18170","kind":"arxiv","version":2}},"canonical_sha256":"b0004884ebc111a7f9d02273dab304382fe3d4d340ab30e3ab5d79a2469c688f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0004884ebc111a7f9d02273dab304382fe3d4d340ab30e3ab5d79a2469c688f","first_computed_at":"2026-07-05T10:08:29.348020Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:08:29.348020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lLtSkKcddSuZs7u6SNp6XO3SsDGJ3Z+b7NLfQdhnJutb5MraM944B1syZG3jE2R0oBO/KRT/j1lM9LhfEBZWAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:08:29.348505Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.18170","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a6c16afd79b4dbb68374f7b3e2959a769187cf1c34ea4f05f8e87a431ea137e1","sha256:05dee9dde279a791993aa8ab0f1cce63f7893b5e2bd38b20c1f4f097a8870a89"],"state_sha256":"5cf9601b319051ba6f558757563790e74eb290d4d44f55965020bc086893abe0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EUIalQHx9FZTwzgISvxWVLOvGqVnQZ9e7sd+++1ZApQTOfdSshGDPIgIbeOTGV5Ejyy3CgtnjhfotZ5+Dz6UAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T21:55:47.329376Z","bundle_sha256":"5b654365217e6e5bc3145f9286d8c33391ed4a1ba0dbd498ede5d13624c31ed2"}}