{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CQ4QAPSFNZSXG35A3UPX4GONVS","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":"42243dcbeec58b52f074ff72dd9cb2aa26e7ae0051221b689cd5a920ec90d825","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-07T09:58:02Z","title_canon_sha256":"7ab0aedfa0373f01fedbc9b26ff35a2fb79bde4feeadfe930c5d85bf8238d23e"},"schema_version":"1.0","source":{"id":"2405.04161","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.04161","created_at":"2026-07-05T10:53:44Z"},{"alias_kind":"arxiv_version","alias_value":"2405.04161v2","created_at":"2026-07-05T10:53:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.04161","created_at":"2026-07-05T10:53:44Z"},{"alias_kind":"pith_short_12","alias_value":"CQ4QAPSFNZSX","created_at":"2026-07-05T10:53:44Z"},{"alias_kind":"pith_short_16","alias_value":"CQ4QAPSFNZSXG35A","created_at":"2026-07-05T10:53:44Z"},{"alias_kind":"pith_short_8","alias_value":"CQ4QAPSF","created_at":"2026-07-05T10:53:44Z"}],"graph_snapshots":[{"event_id":"sha256:587a637354901e74570394897d3abbaa942ef2e11743992739ebdfc987e42c45","target":"graph","created_at":"2026-07-05T10:53:44Z","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/2405.04161/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As modern scientific instruments generate vast amounts of data and the volume of information in the scientific literature continues to grow, machine learning (ML) has become an essential tool for organising, analysing, and interpreting these complex datasets. This paper explores the transformative role of ML in accelerating breakthroughs across a range of scientific disciplines. By presenting key examples -- such as brain mapping and exoplanet detection -- we demonstrate how ML is reshaping scientific research. We also explore different scenarios where different levels of knowledge of the unde","authors_text":"Arne Elofsson, Bingni W. Brunton, David Marlevi, Elias Jarlebring, Hedvig Kjellstrom, Hossein Azizpour, Javier Garcia-Martinez, Jean Rabault, Paola Cinnella, Ricardo Vinuesa, Stefan Bauer, Stefano Markidis, Steven L. Brunton","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-07T09:58:02Z","title":"Decoding complexity: how machine learning is redefining scientific discovery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.04161","kind":"arxiv","version":2},"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:b16ea4d59520b2a0ebdb6af91f7a3c33280b760c496ec3ece1653be5f87d0a44","target":"record","created_at":"2026-07-05T10:53:44Z","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":"42243dcbeec58b52f074ff72dd9cb2aa26e7ae0051221b689cd5a920ec90d825","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-07T09:58:02Z","title_canon_sha256":"7ab0aedfa0373f01fedbc9b26ff35a2fb79bde4feeadfe930c5d85bf8238d23e"},"schema_version":"1.0","source":{"id":"2405.04161","kind":"arxiv","version":2}},"canonical_sha256":"1439003e456e65736fa0dd1f7e19cdacb6152999973f03f8a7ba1eb691c9f367","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1439003e456e65736fa0dd1f7e19cdacb6152999973f03f8a7ba1eb691c9f367","first_computed_at":"2026-07-05T10:53:44.885874Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:53:44.885874Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tkMIQyU5PthC1L5cjMf9LC2TclMEqOiBAswGRc4CKsqOl354CEA5xEeA9tuB7eOEzovQpoiOyvKelXJ2t1DJDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:53:44.886376Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.04161","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b16ea4d59520b2a0ebdb6af91f7a3c33280b760c496ec3ece1653be5f87d0a44","sha256:587a637354901e74570394897d3abbaa942ef2e11743992739ebdfc987e42c45"],"state_sha256":"eae83c4eb8bf6dd89c4c6a6944da4c19811be4bff53e2c2eaac9ec7e5c345906"}