{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:W3KYLNEXVVZ566SNBU3TRVVBAL","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":"2457bbf1acd7a455539a929bbc56931e92b013ef94dd9e4c92caa5599663cb1b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.QM","submitted_at":"2024-07-05T13:13:02Z","title_canon_sha256":"4f84eab7e871432acfaf953f331eb173f47f4a38afbf9cb4e5799cb1e91854ad"},"schema_version":"1.0","source":{"id":"2407.04486","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.04486","created_at":"2026-07-05T08:40:34Z"},{"alias_kind":"arxiv_version","alias_value":"2407.04486v1","created_at":"2026-07-05T08:40:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.04486","created_at":"2026-07-05T08:40:34Z"},{"alias_kind":"pith_short_12","alias_value":"W3KYLNEXVVZ5","created_at":"2026-07-05T08:40:34Z"},{"alias_kind":"pith_short_16","alias_value":"W3KYLNEXVVZ566SN","created_at":"2026-07-05T08:40:34Z"},{"alias_kind":"pith_short_8","alias_value":"W3KYLNEX","created_at":"2026-07-05T08:40:34Z"}],"graph_snapshots":[{"event_id":"sha256:d11396708456dd220e071378ccffdbdb45e9822e73ab1a392aae6f7278043baf","target":"graph","created_at":"2026-07-05T08:40:34Z","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/2407.04486/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Human cancers present a significant public health challenge and require the discovery of novel drugs through translational research. Transcriptomics profiling data that describes molecular activities in tumors and cancer cell lines are widely utilized for predicting anti-cancer drug responses. However, existing AI models face challenges due to noise in transcriptomics data and lack of biological interpretability. To overcome these limitations, we introduce VETE (Variational and Explanatory Transcriptomics Encoder), a novel neural network framework that incorporates a variational component to m","authors_text":"Abolfazl Safikhani, Alexander Partin, Chen Wang, Jun Jiang, Nicholas Chia, Priyanka Vasanthakumari, Rohan Gnanaolivu, Tianshu Feng, Yitan Zhu, Yuanhang Liu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.QM","submitted_at":"2024-07-05T13:13:02Z","title":"Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.04486","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":"sha256:81ddb77f46e7e55959c278b0a1a8f819f3a78a4e2f62dead6a0f5de0713f66a3","target":"record","created_at":"2026-07-05T08:40:34Z","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":"2457bbf1acd7a455539a929bbc56931e92b013ef94dd9e4c92caa5599663cb1b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.QM","submitted_at":"2024-07-05T13:13:02Z","title_canon_sha256":"4f84eab7e871432acfaf953f331eb173f47f4a38afbf9cb4e5799cb1e91854ad"},"schema_version":"1.0","source":{"id":"2407.04486","kind":"arxiv","version":1}},"canonical_sha256":"b6d585b497ad73df7a4d0d3738d6a102efcb2ebc20a26a4a7279aa92ea230cf6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b6d585b497ad73df7a4d0d3738d6a102efcb2ebc20a26a4a7279aa92ea230cf6","first_computed_at":"2026-07-05T08:40:34.294026Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:40:34.294026Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dAbcbRorUW88MQfcwVBvtcYvildwXEuQP32rHZqzTFO/wih/0cWocx0rudscEGr0Rab3OiUrBYRWAg10JPevAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:40:34.294499Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.04486","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:81ddb77f46e7e55959c278b0a1a8f819f3a78a4e2f62dead6a0f5de0713f66a3","sha256:d11396708456dd220e071378ccffdbdb45e9822e73ab1a392aae6f7278043baf"],"state_sha256":"7a212c201fab4ba8e7ad5f81e2d3ebde46391aac511560317080dbf223405103"}