{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:4ID2CXPOU2F6QUKN6A3B7FRMKI","short_pith_number":"pith:4ID2CXPO","canonical_record":{"source":{"id":"1904.04796","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-04-09T17:20:40Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"0aadbb891ecdb619ea52c5a32a940d8c45b1619e550033d0b0294e3f65210c93","abstract_canon_sha256":"fd188b614ecda78ce5713a7f69755c4bde51865c7a6203a9b26e1810c23ce172"},"schema_version":"1.0"},"canonical_sha256":"e207a15deea68be8514df0361f962c523f28c99ec167d0a1d5c66aa745cae5c6","source":{"kind":"arxiv","id":"1904.04796","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.04796","created_at":"2026-06-04T20:14:24Z"},{"alias_kind":"arxiv_version","alias_value":"1904.04796v2","created_at":"2026-06-04T20:14:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.04796","created_at":"2026-06-04T20:14:24Z"},{"alias_kind":"pith_short_12","alias_value":"4ID2CXPOU2F6","created_at":"2026-06-04T20:14:24Z"},{"alias_kind":"pith_short_16","alias_value":"4ID2CXPOU2F6QUKN","created_at":"2026-06-04T20:14:24Z"},{"alias_kind":"pith_short_8","alias_value":"4ID2CXPO","created_at":"2026-06-04T20:14:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:4ID2CXPOU2F6QUKN6A3B7FRMKI","target":"record","payload":{"canonical_record":{"source":{"id":"1904.04796","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-04-09T17:20:40Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"0aadbb891ecdb619ea52c5a32a940d8c45b1619e550033d0b0294e3f65210c93","abstract_canon_sha256":"fd188b614ecda78ce5713a7f69755c4bde51865c7a6203a9b26e1810c23ce172"},"schema_version":"1.0"},"canonical_sha256":"e207a15deea68be8514df0361f962c523f28c99ec167d0a1d5c66aa745cae5c6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-04T20:14:24.169678Z","signature_b64":"0mzhMws4USkdaGPkHRFKrr0glqnTyok8+2bQVZH4wKWz8ni0Bgepk1hIP5YhDZ2j8toSRuwVrwhynra3/ZzdBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e207a15deea68be8514df0361f962c523f28c99ec167d0a1d5c66aa745cae5c6","last_reissued_at":"2026-06-04T20:14:24.169108Z","signature_status":"signed_v1","first_computed_at":"2026-06-04T20:14:24.169108Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.04796","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-04T20:14:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VB4/DFh0X212UfOZTxByJD4JEZZ2ymRskgXWuX8cIqbHtkyWLpeJGzF1967P4Qrgvs/PqzJaVYGJtSwNc05aCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-21T10:35:39.429965Z"},"content_sha256":"05773e53a27acd1afb99a7a64694bc053acd360210a5057b97531e0a8d28825c","schema_version":"1.0","event_id":"sha256:05773e53a27acd1afb99a7a64694bc053acd360210a5057b97531e0a8d28825c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:4ID2CXPOU2F6QUKN6A3B7FRMKI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Integrating production scheduling and process control using latent variable dynamic models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"math.OC","authors_text":"Calvin Tsay, Michael Baldea","submitted_at":"2019-04-09T17:20:40Z","abstract_excerpt":"Given their increasing participation in fast-changing markets, the integration of scheduling and control is an important consideration in chemical process operations. This generally involves computing optimal production schedules using dynamic models, which is challenging due to the nonlinearity and high-dimensionality of the models of chemical processes. In this paper, we begin by observing that the intrinsic dimensionality of process dynamics (as relevant to scheduling) is often much lower than the number of model state and/or algebraic variables. We introduce a data mining approach to \"lear"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.04796","kind":"arxiv","version":2},"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/1904.04796/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":"2026-06-04T20:14:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XCoDzYX70mNIYe5PTonyxDg+l0wNrNHZD7o75GRfD4+cb1hWYyoeR3nPDtvNB+Pp8/dKKXpEUowlfEe88oPRCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-21T10:35:39.430351Z"},"content_sha256":"21d1fd69da0745f71099e82fc8d28bbb4d2f704941ed150fd44eca94ae07b96d","schema_version":"1.0","event_id":"sha256:21d1fd69da0745f71099e82fc8d28bbb4d2f704941ed150fd44eca94ae07b96d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4ID2CXPOU2F6QUKN6A3B7FRMKI/bundle.json","state_url":"https://pith.science/pith/4ID2CXPOU2F6QUKN6A3B7FRMKI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4ID2CXPOU2F6QUKN6A3B7FRMKI/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":"2026-06-21T10:35:39Z","links":{"resolver":"https://pith.science/pith/4ID2CXPOU2F6QUKN6A3B7FRMKI","bundle":"https://pith.science/pith/4ID2CXPOU2F6QUKN6A3B7FRMKI/bundle.json","state":"https://pith.science/pith/4ID2CXPOU2F6QUKN6A3B7FRMKI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4ID2CXPOU2F6QUKN6A3B7FRMKI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:4ID2CXPOU2F6QUKN6A3B7FRMKI","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":"fd188b614ecda78ce5713a7f69755c4bde51865c7a6203a9b26e1810c23ce172","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-04-09T17:20:40Z","title_canon_sha256":"0aadbb891ecdb619ea52c5a32a940d8c45b1619e550033d0b0294e3f65210c93"},"schema_version":"1.0","source":{"id":"1904.04796","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.04796","created_at":"2026-06-04T20:14:24Z"},{"alias_kind":"arxiv_version","alias_value":"1904.04796v2","created_at":"2026-06-04T20:14:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.04796","created_at":"2026-06-04T20:14:24Z"},{"alias_kind":"pith_short_12","alias_value":"4ID2CXPOU2F6","created_at":"2026-06-04T20:14:24Z"},{"alias_kind":"pith_short_16","alias_value":"4ID2CXPOU2F6QUKN","created_at":"2026-06-04T20:14:24Z"},{"alias_kind":"pith_short_8","alias_value":"4ID2CXPO","created_at":"2026-06-04T20:14:24Z"}],"graph_snapshots":[{"event_id":"sha256:21d1fd69da0745f71099e82fc8d28bbb4d2f704941ed150fd44eca94ae07b96d","target":"graph","created_at":"2026-06-04T20:14:24Z","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/1904.04796/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Given their increasing participation in fast-changing markets, the integration of scheduling and control is an important consideration in chemical process operations. This generally involves computing optimal production schedules using dynamic models, which is challenging due to the nonlinearity and high-dimensionality of the models of chemical processes. In this paper, we begin by observing that the intrinsic dimensionality of process dynamics (as relevant to scheduling) is often much lower than the number of model state and/or algebraic variables. We introduce a data mining approach to \"lear","authors_text":"Calvin Tsay, Michael Baldea","cross_cats":["cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-04-09T17:20:40Z","title":"Integrating production scheduling and process control using latent variable dynamic models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.04796","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":"sha256:05773e53a27acd1afb99a7a64694bc053acd360210a5057b97531e0a8d28825c","target":"record","created_at":"2026-06-04T20:14:24Z","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":"fd188b614ecda78ce5713a7f69755c4bde51865c7a6203a9b26e1810c23ce172","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-04-09T17:20:40Z","title_canon_sha256":"0aadbb891ecdb619ea52c5a32a940d8c45b1619e550033d0b0294e3f65210c93"},"schema_version":"1.0","source":{"id":"1904.04796","kind":"arxiv","version":2}},"canonical_sha256":"e207a15deea68be8514df0361f962c523f28c99ec167d0a1d5c66aa745cae5c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e207a15deea68be8514df0361f962c523f28c99ec167d0a1d5c66aa745cae5c6","first_computed_at":"2026-06-04T20:14:24.169108Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-04T20:14:24.169108Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0mzhMws4USkdaGPkHRFKrr0glqnTyok8+2bQVZH4wKWz8ni0Bgepk1hIP5YhDZ2j8toSRuwVrwhynra3/ZzdBA==","signature_status":"signed_v1","signed_at":"2026-06-04T20:14:24.169678Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.04796","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05773e53a27acd1afb99a7a64694bc053acd360210a5057b97531e0a8d28825c","sha256:21d1fd69da0745f71099e82fc8d28bbb4d2f704941ed150fd44eca94ae07b96d"],"state_sha256":"8e6df24a4bc8e6cb20411478a71b6e4b9bbb01bb27f6d6fa1e23595d568f5f6f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"642S/SpQMYVOgcGoi5FBaPothwsGMsbITAF3PyUVb15UBvfN58d/vSuaUp0Ij+GNnA+SWPsdLw9M1FnoApwfAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-21T10:35:39.432372Z","bundle_sha256":"24143a296fcb1801da5320c4245cd65185ec05be100d03cdf56972b577b48efd"}}