{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:OJQG63LS2HYM4U2YOTNWTSP2RN","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":"def820fb71a7c1ed97540a84ee6423021fce364496735d90310f3b8752efa69b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T03:45:42Z","title_canon_sha256":"54bd2df64aef3dbd513753804dd1c0f155916ca18df934d6467111444004b7d2"},"schema_version":"1.0","source":{"id":"2605.25399","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25399","created_at":"2026-05-26T02:04:32Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25399v1","created_at":"2026-05-26T02:04:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25399","created_at":"2026-05-26T02:04:32Z"},{"alias_kind":"pith_short_12","alias_value":"OJQG63LS2HYM","created_at":"2026-05-26T02:04:32Z"},{"alias_kind":"pith_short_16","alias_value":"OJQG63LS2HYM4U2Y","created_at":"2026-05-26T02:04:32Z"},{"alias_kind":"pith_short_8","alias_value":"OJQG63LS","created_at":"2026-05-26T02:04:32Z"}],"graph_snapshots":[{"event_id":"sha256:9189e6975f702320c6d36de2dffe1727d6de6cda739a682b32a2d2f10417c3bb","target":"graph","created_at":"2026-05-26T02:04:32Z","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/2605.25399/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Objective: Survival analysis is central to medical prediction, yet large language models (LLMs) are rarely used as end-to-end survival models because censoring prevents straightforward supervised fine-tuning. Here we present LLMSurvival, a framework that enables censoring-aware survival analysis with unmodified LLMs operating directly on tabular clinical data.\n  Materials and Methods: LLMSurvival reformulates time-to-event prediction as pairwise ranking among comparable subjects, and derives test-time risk by aggregating comparisons against anchor individuals from the training cohort.\n  Result","authors_text":"Hexin Dong, Jiahe Qian, Yifan Peng, Yi Lin, Yi Liu, Yishu Wei","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T03:45:42Z","title":"Towards end-to-end LLM-based censoring-aware survival analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25399","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":"sha256:47d2820e09ddf5d85216d797f85064b771e3d4678d7462b970ec4bba2d0d9135","target":"record","created_at":"2026-05-26T02:04:32Z","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":"def820fb71a7c1ed97540a84ee6423021fce364496735d90310f3b8752efa69b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T03:45:42Z","title_canon_sha256":"54bd2df64aef3dbd513753804dd1c0f155916ca18df934d6467111444004b7d2"},"schema_version":"1.0","source":{"id":"2605.25399","kind":"arxiv","version":1}},"canonical_sha256":"72606f6d72d1f0ce535874db69c9fa8b5457d87579bbef3f88d43ea572920891","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"72606f6d72d1f0ce535874db69c9fa8b5457d87579bbef3f88d43ea572920891","first_computed_at":"2026-05-26T02:04:32.824841Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:04:32.824841Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nfke6djxpRUluYblmJVf9QPlTyDy6T+zOkibovNVsd6kzVjF3o3TVY2BIkTritxWvLgT3vkBuxNz8mZdJZ5gDA==","signature_status":"signed_v1","signed_at":"2026-05-26T02:04:32.825596Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.25399","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:47d2820e09ddf5d85216d797f85064b771e3d4678d7462b970ec4bba2d0d9135","sha256:9189e6975f702320c6d36de2dffe1727d6de6cda739a682b32a2d2f10417c3bb"],"state_sha256":"26a0a5a64cd01b2a1ce0427001ec630b8db9da492932e01e85054f3b9266e725"}