{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:52KSC66VYBX4WQVZSQOCBA54KZ","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":"0e003a2834caa918c67c83170c0f37a8db3fc2d905f957d79597a35dc2e72aae","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2023-11-01T04:29:47Z","title_canon_sha256":"d495089c9ccae8a7c9a76f13026fe16a74da6afb25521661f080f76a894c7313"},"schema_version":"1.0","source":{"id":"2311.00284","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.00284","created_at":"2026-07-05T07:07:45Z"},{"alias_kind":"arxiv_version","alias_value":"2311.00284v1","created_at":"2026-07-05T07:07:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.00284","created_at":"2026-07-05T07:07:45Z"},{"alias_kind":"pith_short_12","alias_value":"52KSC66VYBX4","created_at":"2026-07-05T07:07:45Z"},{"alias_kind":"pith_short_16","alias_value":"52KSC66VYBX4WQVZ","created_at":"2026-07-05T07:07:45Z"},{"alias_kind":"pith_short_8","alias_value":"52KSC66V","created_at":"2026-07-05T07:07:45Z"}],"graph_snapshots":[{"event_id":"sha256:248f0ad7a5892259075e8af9fc00599849dbf728ed4d1d5161017afa5ed5080a","target":"graph","created_at":"2026-07-05T07:07:45Z","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/2311.00284/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Context: Machine Learning (ML) has become widely adopted as a component in many modern software applications. Due to the large volumes of data available, organizations want to increasingly leverage their data to extract meaningful insights and enhance business profitability. ML components enable predictive capabilities, anomaly detection, recommendation, accurate image and text processing, and informed decision-making. However, developing systems with ML components is not trivial; it requires time, effort, knowledge, and expertise in ML, data processing, and software engineering. There have be","authors_text":"Chetan Arora, Hira Naveed, Hourieh Khalajzadeh, John Grundy, Omar Haggag","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2023-11-01T04:29:47Z","title":"Model-driven Engineering for Machine Learning Components: A Systematic Literature Review"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.00284","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":"sha256:9974de19a243830317bdf94da9971f584d738dac6c1437970a1efd71d9cf2a56","target":"record","created_at":"2026-07-05T07:07:45Z","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":"0e003a2834caa918c67c83170c0f37a8db3fc2d905f957d79597a35dc2e72aae","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2023-11-01T04:29:47Z","title_canon_sha256":"d495089c9ccae8a7c9a76f13026fe16a74da6afb25521661f080f76a894c7313"},"schema_version":"1.0","source":{"id":"2311.00284","kind":"arxiv","version":1}},"canonical_sha256":"ee95217bd5c06fcb42b9941c2083bc56609f063dc4a7197dcf1d1ed949d942d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ee95217bd5c06fcb42b9941c2083bc56609f063dc4a7197dcf1d1ed949d942d5","first_computed_at":"2026-07-05T07:07:45.029285Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:07:45.029285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1mAvmWHNXTwmRvMBHSfvJUPqPrqagHOK9FZVgpeIuxUOvyKcaWYnbpSwmXrXxnAg06DomxrEk8KkRmFlHP7OAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:07:45.029681Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.00284","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9974de19a243830317bdf94da9971f584d738dac6c1437970a1efd71d9cf2a56","sha256:248f0ad7a5892259075e8af9fc00599849dbf728ed4d1d5161017afa5ed5080a"],"state_sha256":"c96d29ceae17f847c31b9d99fccc7b91d6a2a50277a50e35cdb800ffd624e681"}