{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:7R7GDDIR5YCAHVFSGUYRXMSWGE","short_pith_number":"pith:7R7GDDIR","canonical_record":{"source":{"id":"2607.07725","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-04T21:04:57Z","cross_cats_sorted":["cs.AI","q-bio.GN"],"title_canon_sha256":"5d85a49753926242b2966d689b93d0ecb603f1aa926023843b08c67c83125766","abstract_canon_sha256":"2e61460ad2882f0d82c9c55f2b3971076548526b76def4c42b1a9b27d954bd78"},"schema_version":"1.0"},"canonical_sha256":"fc7e618d11ee0403d4b235311bb256310d47fc9d585d20cdc1cfc47d4fe7f3dc","source":{"kind":"arxiv","id":"2607.07725","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.07725","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"arxiv_version","alias_value":"2607.07725v1","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.07725","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"pith_short_12","alias_value":"7R7GDDIR5YCA","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"pith_short_16","alias_value":"7R7GDDIR5YCAHVFS","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"pith_short_8","alias_value":"7R7GDDIR","created_at":"2026-07-10T00:18:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:7R7GDDIR5YCAHVFSGUYRXMSWGE","target":"record","payload":{"canonical_record":{"source":{"id":"2607.07725","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-04T21:04:57Z","cross_cats_sorted":["cs.AI","q-bio.GN"],"title_canon_sha256":"5d85a49753926242b2966d689b93d0ecb603f1aa926023843b08c67c83125766","abstract_canon_sha256":"2e61460ad2882f0d82c9c55f2b3971076548526b76def4c42b1a9b27d954bd78"},"schema_version":"1.0"},"canonical_sha256":"fc7e618d11ee0403d4b235311bb256310d47fc9d585d20cdc1cfc47d4fe7f3dc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-10T00:18:47.307445Z","signature_b64":"W4tNdk6zd3we76qJJM+cLsMzf4+vEWh9rDDV3eyCpDVjlEeEAhcxWCgi8fzAMpvYOfJbZJJGVwmggIKO4/AODA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fc7e618d11ee0403d4b235311bb256310d47fc9d585d20cdc1cfc47d4fe7f3dc","last_reissued_at":"2026-07-10T00:18:47.306917Z","signature_status":"signed_v1","first_computed_at":"2026-07-10T00:18:47.306917Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.07725","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":"2026-07-10T00:18:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GkwYML5A2+U3x1Z1zJ52/DWKJzgjGZVSeSwoi9Fo3U6h+cSFGHALg9SiCT+dGn/T9CH6KIlfGf+nCgwF5slTDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T19:49:59.716493Z"},"content_sha256":"877b1d88d7926b97fdad08f0ecf7c9aee1be44db1175279936343e8c2771fcff","schema_version":"1.0","event_id":"sha256:877b1d88d7926b97fdad08f0ecf7c9aee1be44db1175279936343e8c2771fcff"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:7R7GDDIR5YCAHVFSGUYRXMSWGE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SHIFT: Survival Prediction from Incomplete and Heterogeneous Genomic Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","q-bio.GN"],"primary_cat":"cs.LG","authors_text":"Ayhan Can Erdur, Benedikt Wiestler, Jana Lipkova, Muhammet Sami Yavuz, Sabri Mustafa Kahya","submitted_at":"2026-07-04T21:04:57Z","abstract_excerpt":"Genomic prediction models often fail to transfer across institutions because sequencing panels differ across sites, creating structural feature missingness at deployment. Existing approaches to this challenge typically restrict analysis to genes shared across cohorts, exclude patients with incomplete profiles, or rely on test-time imputation, all of which can reduce robustness and limit the use of multi-center data. We propose Survival prediction Handling Incomplete Features using Transformer (SHIFT), a missingness-aware survival model that directly predicts from incomplete genomic inputs with"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.07725","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/2607.07725/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":"2026-07-10T00:18:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tO9QJXID8oFvrlniG0Vh1flLF+QxVdirTUd4oqatQYEvUKJHPii7NS9MEoHgi2X6TDtUyKh+rrft3HeaS3PADQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T19:49:59.717085Z"},"content_sha256":"96269f0ca02c726d07e0152f390a351a121a1a544a37da8830de567c53f0d855","schema_version":"1.0","event_id":"sha256:96269f0ca02c726d07e0152f390a351a121a1a544a37da8830de567c53f0d855"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:7R7GDDIR5YCAHVFSGUYRXMSWGE","target":"integrity","payload":{"note":"Identifier '10.1016/j.aiopen.2026.01.002' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"Camillo Maria Caruso, Paolo Soda, and Valerio Guarrasi. Not another imputation method: A transformer-based model for missing values in tabular datasets. AI Open, 7: 0 96--122, 2026. doi:10.1016/j.aiopen.2026.01.002","arxiv_id":"2607.07725","detector":"doi_compliance","evidence":{"doi":"10.1016/j.aiopen.2026.01.002","arxiv_id":null,"ref_index":146,"raw_excerpt":"Camillo Maria Caruso, Paolo Soda, and Valerio Guarrasi. Not another imputation method: A transformer-based model for missing values in tabular datasets. AI Open, 7: 0 96--122, 2026. doi:10.1016/j.aiopen.2026.01.002","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"]},"severity":"critical","ref_index":146,"audited_at":"2026-07-11T22:16:23.077773Z","event_type":"pith.integrity.v1","detected_doi":"10.1016/j.aiopen.2026.01.002","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"61d0b64d0af7e841044460c83b5ac45cfd627057245f549d4e1c7dd889ad0ba2","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":12319,"payload_sha256":"05d4d8bab36264b617786b925e764781f9a519be524b176e09115eccd092aff5","signature_b64":"ZmiGLTyeEaMFfY9xHmOnp6QgGfhAi79FIZUxXdmz893tNTDZBn5JJDfmOz1BScxQx6niewA2T+uGntZLjpYrDg==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-11T22:16:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lZm5Jpd71T7xc9Ys4U1cd0D2YxePf2nZSz0BZw5elvBzB8zvRnl8IKyQhjGUu1f7FhHVEh1LjqpVFInPWJNuCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T19:49:59.722453Z"},"content_sha256":"2570cd53e67e7b51fd48b283cef81274adb6fdbd71706aa7bc36c8e3a76daeb8","schema_version":"1.0","event_id":"sha256:2570cd53e67e7b51fd48b283cef81274adb6fdbd71706aa7bc36c8e3a76daeb8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7R7GDDIR5YCAHVFSGUYRXMSWGE/bundle.json","state_url":"https://pith.science/pith/7R7GDDIR5YCAHVFSGUYRXMSWGE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7R7GDDIR5YCAHVFSGUYRXMSWGE/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":"2026-08-11T19:49:59Z","links":{"resolver":"https://pith.science/pith/7R7GDDIR5YCAHVFSGUYRXMSWGE","bundle":"https://pith.science/pith/7R7GDDIR5YCAHVFSGUYRXMSWGE/bundle.json","state":"https://pith.science/pith/7R7GDDIR5YCAHVFSGUYRXMSWGE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7R7GDDIR5YCAHVFSGUYRXMSWGE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:7R7GDDIR5YCAHVFSGUYRXMSWGE","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"2e61460ad2882f0d82c9c55f2b3971076548526b76def4c42b1a9b27d954bd78","cross_cats_sorted":["cs.AI","q-bio.GN"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-04T21:04:57Z","title_canon_sha256":"5d85a49753926242b2966d689b93d0ecb603f1aa926023843b08c67c83125766"},"schema_version":"1.0","source":{"id":"2607.07725","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.07725","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"arxiv_version","alias_value":"2607.07725v1","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.07725","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"pith_short_12","alias_value":"7R7GDDIR5YCA","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"pith_short_16","alias_value":"7R7GDDIR5YCAHVFS","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"pith_short_8","alias_value":"7R7GDDIR","created_at":"2026-07-10T00:18:47Z"}],"graph_snapshots":[{"event_id":"sha256:96269f0ca02c726d07e0152f390a351a121a1a544a37da8830de567c53f0d855","target":"graph","created_at":"2026-07-10T00:18:47Z","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/2607.07725/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Genomic prediction models often fail to transfer across institutions because sequencing panels differ across sites, creating structural feature missingness at deployment. Existing approaches to this challenge typically restrict analysis to genes shared across cohorts, exclude patients with incomplete profiles, or rely on test-time imputation, all of which can reduce robustness and limit the use of multi-center data. We propose Survival prediction Handling Incomplete Features using Transformer (SHIFT), a missingness-aware survival model that directly predicts from incomplete genomic inputs with","authors_text":"Ayhan Can Erdur, Benedikt Wiestler, Jana Lipkova, Muhammet Sami Yavuz, Sabri Mustafa Kahya","cross_cats":["cs.AI","q-bio.GN"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-04T21:04:57Z","title":"SHIFT: Survival Prediction from Incomplete and Heterogeneous Genomic Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.07725","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":"sha256:877b1d88d7926b97fdad08f0ecf7c9aee1be44db1175279936343e8c2771fcff","target":"record","created_at":"2026-07-10T00:18:47Z","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":"2e61460ad2882f0d82c9c55f2b3971076548526b76def4c42b1a9b27d954bd78","cross_cats_sorted":["cs.AI","q-bio.GN"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-04T21:04:57Z","title_canon_sha256":"5d85a49753926242b2966d689b93d0ecb603f1aa926023843b08c67c83125766"},"schema_version":"1.0","source":{"id":"2607.07725","kind":"arxiv","version":1}},"canonical_sha256":"fc7e618d11ee0403d4b235311bb256310d47fc9d585d20cdc1cfc47d4fe7f3dc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fc7e618d11ee0403d4b235311bb256310d47fc9d585d20cdc1cfc47d4fe7f3dc","first_computed_at":"2026-07-10T00:18:47.306917Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-10T00:18:47.306917Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"W4tNdk6zd3we76qJJM+cLsMzf4+vEWh9rDDV3eyCpDVjlEeEAhcxWCgi8fzAMpvYOfJbZJJGVwmggIKO4/AODA==","signature_status":"signed_v1","signed_at":"2026-07-10T00:18:47.307445Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.07725","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:877b1d88d7926b97fdad08f0ecf7c9aee1be44db1175279936343e8c2771fcff","sha256:96269f0ca02c726d07e0152f390a351a121a1a544a37da8830de567c53f0d855","sha256:2570cd53e67e7b51fd48b283cef81274adb6fdbd71706aa7bc36c8e3a76daeb8"],"state_sha256":"d42903e6ccb3adf9fbe61763a0ce3fe2c977ec375a48d89c7d130948c187b44a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TLjaDUwENyjURqTslSRo411RTJ+5XMIjVR/QKfEQVtEpn/aMauj474axaTSSoj8QvjV/BD8ItVS6LSyZkW6NBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T19:49:59.724899Z","bundle_sha256":"d6b5fcb22568991a84cdcaf77316d44bf9ffe7990a49055d10fd83d7cc3b0ba8"}}