{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:JYMCMX3H477F7RNZOLDLEAXZ2S","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":"0937c9db1d3f5a85b6aae7f20436114c6a39d6035e3934e667d2aa19705e3bd4","cross_cats_sorted":["cs.CL","cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-07T03:51:13Z","title_canon_sha256":"ac1df5877ed7b30cf2af1781a5a7c53869fd00419ba1625e9081e73e1eb42bc8"},"schema_version":"1.0","source":{"id":"1909.05372","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.05372","created_at":"2026-07-05T00:04:12Z"},{"alias_kind":"arxiv_version","alias_value":"1909.05372v1","created_at":"2026-07-05T00:04:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.05372","created_at":"2026-07-05T00:04:12Z"},{"alias_kind":"pith_short_12","alias_value":"JYMCMX3H477F","created_at":"2026-07-05T00:04:12Z"},{"alias_kind":"pith_short_16","alias_value":"JYMCMX3H477F7RNZ","created_at":"2026-07-05T00:04:12Z"},{"alias_kind":"pith_short_8","alias_value":"JYMCMX3H","created_at":"2026-07-05T00:04:12Z"}],"graph_snapshots":[{"event_id":"sha256:07a314fc84e293e4480a0c6141903049a9adbe72207ea79bb8307ff5973b1843","target":"graph","created_at":"2026-07-05T00:04:12Z","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/1909.05372/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We describe a system called Overton, whose main design goal is to support engineers in building, monitoring, and improving production machine learning systems. Key challenges engineers face are monitoring fine-grained quality, diagnosing errors in sophisticated applications, and handling contradictory or incomplete supervision data. Overton automates the life cycle of model construction, deployment, and monitoring by providing a set of novel high-level, declarative abstractions. Overton's vision is to shift developers to these higher-level tasks instead of lower-level machine learning tasks. I","authors_text":"Charles Srisuwananukorn, Christopher R\\'e, Feng Niu, Pallavi Gudipati","cross_cats":["cs.CL","cs.DB"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-07T03:51:13Z","title":"Overton: A Data System for Monitoring and Improving Machine-Learned Products"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.05372","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:d8e1e1ec5b539b79e44f0403c2751e00916d8031cbc4f97a7ac6cef8073ed68d","target":"record","created_at":"2026-07-05T00:04:12Z","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":"0937c9db1d3f5a85b6aae7f20436114c6a39d6035e3934e667d2aa19705e3bd4","cross_cats_sorted":["cs.CL","cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-07T03:51:13Z","title_canon_sha256":"ac1df5877ed7b30cf2af1781a5a7c53869fd00419ba1625e9081e73e1eb42bc8"},"schema_version":"1.0","source":{"id":"1909.05372","kind":"arxiv","version":1}},"canonical_sha256":"4e18265f67e7fe5fc5b972c6b202f9d4b8b3d59cd3cb8d19131073a884d5c58a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e18265f67e7fe5fc5b972c6b202f9d4b8b3d59cd3cb8d19131073a884d5c58a","first_computed_at":"2026-07-05T00:04:12.489403Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:04:12.489403Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dA3AoIr9ubAY361lnSbpc0jnGc3ZrPx5HBpvcgxmZr3rKshqzbmtGCDbrdBoGiCXZQg03+D/Ku/PEiPsdjkNCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:04:12.489781Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.05372","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d8e1e1ec5b539b79e44f0403c2751e00916d8031cbc4f97a7ac6cef8073ed68d","sha256:07a314fc84e293e4480a0c6141903049a9adbe72207ea79bb8307ff5973b1843"],"state_sha256":"7df08df3721c6939fa318c98c53f9543b8d9da0421bf01f612a132b4571ca2b8"}