{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XTHXI25GS7EWV5ETSZOY7ULA3S","short_pith_number":"pith:XTHXI25G","canonical_record":{"source":{"id":"2409.12215","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.BM","submitted_at":"2024-09-18T16:08:28Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c97883791aa6c7795c239ead156cf5e4e61e9adf44aaea419c69f9fc09b24925","abstract_canon_sha256":"b2a0eac2608d21e9a09400b94aad2d5f95b10c37cb8ab5ff573f6b42da4be3bc"},"schema_version":"1.0"},"canonical_sha256":"bccf746ba697c96af493965d8fd160dc833cc8445f465a11c00602c9804a306f","source":{"kind":"arxiv","id":"2409.12215","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.12215","created_at":"2026-07-05T09:08:50Z"},{"alias_kind":"arxiv_version","alias_value":"2409.12215v1","created_at":"2026-07-05T09:08:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.12215","created_at":"2026-07-05T09:08:50Z"},{"alias_kind":"pith_short_12","alias_value":"XTHXI25GS7EW","created_at":"2026-07-05T09:08:50Z"},{"alias_kind":"pith_short_16","alias_value":"XTHXI25GS7EWV5ET","created_at":"2026-07-05T09:08:50Z"},{"alias_kind":"pith_short_8","alias_value":"XTHXI25G","created_at":"2026-07-05T09:08:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XTHXI25GS7EWV5ETSZOY7ULA3S","target":"record","payload":{"canonical_record":{"source":{"id":"2409.12215","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.BM","submitted_at":"2024-09-18T16:08:28Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c97883791aa6c7795c239ead156cf5e4e61e9adf44aaea419c69f9fc09b24925","abstract_canon_sha256":"b2a0eac2608d21e9a09400b94aad2d5f95b10c37cb8ab5ff573f6b42da4be3bc"},"schema_version":"1.0"},"canonical_sha256":"bccf746ba697c96af493965d8fd160dc833cc8445f465a11c00602c9804a306f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:08:50.140812Z","signature_b64":"gCF/7ziZCkMoO6b3G+pECdOd0czyzk2rbpH4VdzUcnbfLKMQ+Vb9XJrDcwsnOuRqB72RjkvEbB7TYROucHUQBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bccf746ba697c96af493965d8fd160dc833cc8445f465a11c00602c9804a306f","last_reissued_at":"2026-07-05T09:08:50.140375Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:08:50.140375Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.12215","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":"2026-07-05T09:08:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fy4wNnxscHqbbo25ZieZamyFJx9nYRvdzpaEFsHjq3Y2mU2Y1OBUaMddhUJ79f5RdwcRTCNlu5Jx99CsdROvAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-25T18:21:37.675625Z"},"content_sha256":"07ade1ab2fae5f2e44ef67f52c07b59794f484a140aa87cf6d70ec7abbd84ceb","schema_version":"1.0","event_id":"sha256:07ade1ab2fae5f2e44ef67f52c07b59794f484a140aa87cf6d70ec7abbd84ceb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XTHXI25GS7EWV5ETSZOY7ULA3S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"q-bio.BM","authors_text":"Alexander Partin, Andreas Wilke, Andrew McNaughton, Austin Clyde, Carter Knutson, Cesar Sanchez-Villalobos, Chen Wang, Gayara Demini Fernando, Jamie C. Overbeek, Jun Jiang, M. Ryan Weil, Neeraj Kumar, Nicholas Chia, Oleksandr Narykov, Priyanka Vasanthakumari, Ranadip Pal, Rick L. Stevens, Rohan Gnanaolivu, Ruibo Zhang, Sara Jones, Souparno Ghosh, Thomas S. Brettin, Yitan Zhu, Yuanhang Liu","submitted_at":"2024-09-18T16:08:28Z","abstract_excerpt":"Cancer drug response prediction (DRP) models present a promising approach towards precision oncology, tailoring treatments to individual patient profiles. While deep learning (DL) methods have shown great potential in this area, models that can be successfully translated into clinical practice and shed light on the molecular mechanisms underlying treatment response will likely emerge from collaborative research efforts. This highlights the need for reusable and adaptable models that can be improved and tested by the wider scientific community. In this study, we present a scoring system for ass"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.12215","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/2409.12215/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":"2026-07-05T09:08:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WwagsGn2D4uP3/fhtqU4d1axBmowRzJfytuzMNwtcMa7F6retjrkc84spSgoD5h+wh+vrVkbJvXJdH1caMeqDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-25T18:21:37.676007Z"},"content_sha256":"b23526a751730fe70a3743593cec701165a8e528264e9a5a085dcf0fc76f1fd4","schema_version":"1.0","event_id":"sha256:b23526a751730fe70a3743593cec701165a8e528264e9a5a085dcf0fc76f1fd4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XTHXI25GS7EWV5ETSZOY7ULA3S/bundle.json","state_url":"https://pith.science/pith/XTHXI25GS7EWV5ETSZOY7ULA3S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XTHXI25GS7EWV5ETSZOY7ULA3S/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":"2026-07-25T18:21:37Z","links":{"resolver":"https://pith.science/pith/XTHXI25GS7EWV5ETSZOY7ULA3S","bundle":"https://pith.science/pith/XTHXI25GS7EWV5ETSZOY7ULA3S/bundle.json","state":"https://pith.science/pith/XTHXI25GS7EWV5ETSZOY7ULA3S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XTHXI25GS7EWV5ETSZOY7ULA3S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XTHXI25GS7EWV5ETSZOY7ULA3S","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":"b2a0eac2608d21e9a09400b94aad2d5f95b10c37cb8ab5ff573f6b42da4be3bc","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.BM","submitted_at":"2024-09-18T16:08:28Z","title_canon_sha256":"c97883791aa6c7795c239ead156cf5e4e61e9adf44aaea419c69f9fc09b24925"},"schema_version":"1.0","source":{"id":"2409.12215","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.12215","created_at":"2026-07-05T09:08:50Z"},{"alias_kind":"arxiv_version","alias_value":"2409.12215v1","created_at":"2026-07-05T09:08:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.12215","created_at":"2026-07-05T09:08:50Z"},{"alias_kind":"pith_short_12","alias_value":"XTHXI25GS7EW","created_at":"2026-07-05T09:08:50Z"},{"alias_kind":"pith_short_16","alias_value":"XTHXI25GS7EWV5ET","created_at":"2026-07-05T09:08:50Z"},{"alias_kind":"pith_short_8","alias_value":"XTHXI25G","created_at":"2026-07-05T09:08:50Z"}],"graph_snapshots":[{"event_id":"sha256:b23526a751730fe70a3743593cec701165a8e528264e9a5a085dcf0fc76f1fd4","target":"graph","created_at":"2026-07-05T09:08:50Z","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/2409.12215/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cancer drug response prediction (DRP) models present a promising approach towards precision oncology, tailoring treatments to individual patient profiles. While deep learning (DL) methods have shown great potential in this area, models that can be successfully translated into clinical practice and shed light on the molecular mechanisms underlying treatment response will likely emerge from collaborative research efforts. This highlights the need for reusable and adaptable models that can be improved and tested by the wider scientific community. In this study, we present a scoring system for ass","authors_text":"Alexander Partin, Andreas Wilke, Andrew McNaughton, Austin Clyde, Carter Knutson, Cesar Sanchez-Villalobos, Chen Wang, Gayara Demini Fernando, Jamie C. Overbeek, Jun Jiang, M. Ryan Weil, Neeraj Kumar, Nicholas Chia, Oleksandr Narykov, Priyanka Vasanthakumari, Ranadip Pal, Rick L. Stevens, Rohan Gnanaolivu, Ruibo Zhang, Sara Jones, Souparno Ghosh, Thomas S. Brettin, Yitan Zhu, Yuanhang Liu","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.BM","submitted_at":"2024-09-18T16:08:28Z","title":"Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.12215","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":"sha256:07ade1ab2fae5f2e44ef67f52c07b59794f484a140aa87cf6d70ec7abbd84ceb","target":"record","created_at":"2026-07-05T09:08:50Z","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":"b2a0eac2608d21e9a09400b94aad2d5f95b10c37cb8ab5ff573f6b42da4be3bc","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.BM","submitted_at":"2024-09-18T16:08:28Z","title_canon_sha256":"c97883791aa6c7795c239ead156cf5e4e61e9adf44aaea419c69f9fc09b24925"},"schema_version":"1.0","source":{"id":"2409.12215","kind":"arxiv","version":1}},"canonical_sha256":"bccf746ba697c96af493965d8fd160dc833cc8445f465a11c00602c9804a306f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bccf746ba697c96af493965d8fd160dc833cc8445f465a11c00602c9804a306f","first_computed_at":"2026-07-05T09:08:50.140375Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:08:50.140375Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gCF/7ziZCkMoO6b3G+pECdOd0czyzk2rbpH4VdzUcnbfLKMQ+Vb9XJrDcwsnOuRqB72RjkvEbB7TYROucHUQBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:08:50.140812Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.12215","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:07ade1ab2fae5f2e44ef67f52c07b59794f484a140aa87cf6d70ec7abbd84ceb","sha256:b23526a751730fe70a3743593cec701165a8e528264e9a5a085dcf0fc76f1fd4"],"state_sha256":"8a31b25abdff249b009c62c4fb50e4b4837c7a42bad48632fb7f5be90770eb57"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Efz9tgd2VMplmg8D9d5ZDDOodRjQSP+iR23bYZkWXSZNsdA5TWPrrePEQO8uKyY6rC1QII0CEeRU+/B492L9Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-25T18:21:37.678175Z","bundle_sha256":"c24af6f3d104415912288512920c1d66ce12d459de29888553d1c1acec864f85"}}