{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:CTZXJWOR34EQFEATRUWMY6QMSA","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":"879845dae72e8fba4f2972faebc7685279d5bc7f0dc4fc959b5a09d6dafba428","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"quant-ph","submitted_at":"2026-07-13T15:33:05Z","title_canon_sha256":"fcbc15e839b9c84acc35edfbeec298f63ce24389ba91887ce1bb9857f6303a5a"},"schema_version":"1.0","source":{"id":"2607.11701","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.11701","created_at":"2026-07-14T02:22:19Z"},{"alias_kind":"arxiv_version","alias_value":"2607.11701v1","created_at":"2026-07-14T02:22:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.11701","created_at":"2026-07-14T02:22:19Z"},{"alias_kind":"pith_short_12","alias_value":"CTZXJWOR34EQ","created_at":"2026-07-14T02:22:19Z"},{"alias_kind":"pith_short_16","alias_value":"CTZXJWOR34EQFEAT","created_at":"2026-07-14T02:22:19Z"},{"alias_kind":"pith_short_8","alias_value":"CTZXJWOR","created_at":"2026-07-14T02:22:19Z"}],"graph_snapshots":[{"event_id":"sha256:5003f71d7839b2948d7fdc8a457b615119b2e5adcebad522bf57720b474859e5","target":"graph","created_at":"2026-07-14T02:22:19Z","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/2607.11701/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantitative Structure-Activity Relationship ($\\mathtt{QSAR}$) modeling is a foundational computational methodology in early-stage drug discovery, heavily relied upon for predicting compound toxicity, bioavailability, and therapeutic potential. However, classical methods often struggle to effectively map the highly complex, non-linear, and high-dimensional interactions inherent in molecular data, leading to reduced predictive accuracy and costly late-stage clinical failures. In this paper, we present a Quantum Multiple Kernel Learning ($\\mathtt{QMKL}$) framework, dubbed Next-Gen $\\mathtt{Q^2SA","authors_text":"Alejandro Giraldo, Daniel Ruiz, Guido Bellomo, Mariano Caruso","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"quant-ph","submitted_at":"2026-07-13T15:33:05Z","title":"$\\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.11701","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":"sha256:6e47cc8f1b1ebc2da86cbe870442f17a1ec4da2ed7e96cb73e182e4f15e94246","target":"record","created_at":"2026-07-14T02:22:19Z","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":"879845dae72e8fba4f2972faebc7685279d5bc7f0dc4fc959b5a09d6dafba428","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"quant-ph","submitted_at":"2026-07-13T15:33:05Z","title_canon_sha256":"fcbc15e839b9c84acc35edfbeec298f63ce24389ba91887ce1bb9857f6303a5a"},"schema_version":"1.0","source":{"id":"2607.11701","kind":"arxiv","version":1}},"canonical_sha256":"14f374d9d1df090290138d2ccc7a0c90020d82c86745c884a114b08c2f260362","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"14f374d9d1df090290138d2ccc7a0c90020d82c86745c884a114b08c2f260362","first_computed_at":"2026-07-14T02:22:19.821621Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-14T02:22:19.821621Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1WdeMyYc/MakvrbFf6BgzBzDH0mImoS0EVPBzIfuf5p9KTPJASl1AmVQ7CO9haSzYrKc6UdFAPJPbO7ieH4rBw==","signature_status":"signed_v1","signed_at":"2026-07-14T02:22:19.822415Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.11701","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6e47cc8f1b1ebc2da86cbe870442f17a1ec4da2ed7e96cb73e182e4f15e94246","sha256:5003f71d7839b2948d7fdc8a457b615119b2e5adcebad522bf57720b474859e5"],"state_sha256":"d4770bfdd1792697a16267acce13f59a1a06b0358f3323e6dcaf112aec5e3cb2"}