{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:XRXBZU5VGN6LCDCEQKHE65PBGN","short_pith_number":"pith:XRXBZU5V","canonical_record":{"source":{"id":"1212.2523","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2012-12-11T16:26:12Z","cross_cats_sorted":[],"title_canon_sha256":"cb00e3ca9c6a814c27ed3011af6973217a5df2e6379486ad8d6002d466d16ffa","abstract_canon_sha256":"967a12fe7d6ab9e05765f6bb4a5891cb05693a46b94a9f5d5e612eab260dc6be"},"schema_version":"1.0"},"canonical_sha256":"bc6e1cd3b5337cb10c44828e4f75e13365010ff8e93b39d18b02fc2252165f56","source":{"kind":"arxiv","id":"1212.2523","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1212.2523","created_at":"2026-05-18T03:38:44Z"},{"alias_kind":"arxiv_version","alias_value":"1212.2523v1","created_at":"2026-05-18T03:38:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1212.2523","created_at":"2026-05-18T03:38:44Z"},{"alias_kind":"pith_short_12","alias_value":"XRXBZU5VGN6L","created_at":"2026-05-18T12:27:27Z"},{"alias_kind":"pith_short_16","alias_value":"XRXBZU5VGN6LCDCE","created_at":"2026-05-18T12:27:27Z"},{"alias_kind":"pith_short_8","alias_value":"XRXBZU5V","created_at":"2026-05-18T12:27:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:XRXBZU5VGN6LCDCEQKHE65PBGN","target":"record","payload":{"canonical_record":{"source":{"id":"1212.2523","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2012-12-11T16:26:12Z","cross_cats_sorted":[],"title_canon_sha256":"cb00e3ca9c6a814c27ed3011af6973217a5df2e6379486ad8d6002d466d16ffa","abstract_canon_sha256":"967a12fe7d6ab9e05765f6bb4a5891cb05693a46b94a9f5d5e612eab260dc6be"},"schema_version":"1.0"},"canonical_sha256":"bc6e1cd3b5337cb10c44828e4f75e13365010ff8e93b39d18b02fc2252165f56","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:38:44.348751Z","signature_b64":"y4gqCmcmH6sw11ZbXCuK0VPoTm6RAbXltqPxStD1yCX+jiCONddtPA73K7jQJYJCQdy6sASAUYVJKoyiX7tfAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bc6e1cd3b5337cb10c44828e4f75e13365010ff8e93b39d18b02fc2252165f56","last_reissued_at":"2026-05-18T03:38:44.348069Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:38:44.348069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1212.2523","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:38:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SHJ+l43QJEMA7FGd5cnniZ4y5GZjBmNC3N9htWM2R/qhOTRiWHRI5tLKFxa9GklHBe49tQsqDDmTdJG/akREDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T05:13:27.758772Z"},"content_sha256":"ffc212790f895373e58ad49ac10b11d5bdb4e605d66401f03b01015d618fdb8f","schema_version":"1.0","event_id":"sha256:ffc212790f895373e58ad49ac10b11d5bdb4e605d66401f03b01015d618fdb8f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:XRXBZU5VGN6LCDCEQKHE65PBGN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Bayesian process control with multiple assignable causes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Chi-Guhn Lee, Jue Wang","submitted_at":"2012-12-11T16:26:12Z","abstract_excerpt":"We study an optimal process control problem with multiple assignable causes. The process is initially in-control but is subject to random transition to one of multiple out-of-control states due to assignable causes. The objective is to find an optimal stopping rule under partial observation that maximizes the total expected reward in infinite horizon. The problem is formulated as a partially observable Markov decision process (POMDP) with the belief space consisting of state probability vectors. New observations are obtained at fixed sampling interval to update the belief vector using Bayes' t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1212.2523","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T03:38:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EejNYgu5bhVYByW9IduHwSJGfAgvhvXPHjJSI5jeN220bI5nmDnC+xwAfBmBpMIybYylYx7kGzFJlP6ZpIXKCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T05:13:27.759379Z"},"content_sha256":"6c50691ef902d447b5ecbdcd45e7d8341550821a548b010aac441b55bc8f3f70","schema_version":"1.0","event_id":"sha256:6c50691ef902d447b5ecbdcd45e7d8341550821a548b010aac441b55bc8f3f70"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XRXBZU5VGN6LCDCEQKHE65PBGN/bundle.json","state_url":"https://pith.science/pith/XRXBZU5VGN6LCDCEQKHE65PBGN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XRXBZU5VGN6LCDCEQKHE65PBGN/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":"2026-05-24T05:13:27Z","links":{"resolver":"https://pith.science/pith/XRXBZU5VGN6LCDCEQKHE65PBGN","bundle":"https://pith.science/pith/XRXBZU5VGN6LCDCEQKHE65PBGN/bundle.json","state":"https://pith.science/pith/XRXBZU5VGN6LCDCEQKHE65PBGN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XRXBZU5VGN6LCDCEQKHE65PBGN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:XRXBZU5VGN6LCDCEQKHE65PBGN","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":"967a12fe7d6ab9e05765f6bb4a5891cb05693a46b94a9f5d5e612eab260dc6be","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2012-12-11T16:26:12Z","title_canon_sha256":"cb00e3ca9c6a814c27ed3011af6973217a5df2e6379486ad8d6002d466d16ffa"},"schema_version":"1.0","source":{"id":"1212.2523","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1212.2523","created_at":"2026-05-18T03:38:44Z"},{"alias_kind":"arxiv_version","alias_value":"1212.2523v1","created_at":"2026-05-18T03:38:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1212.2523","created_at":"2026-05-18T03:38:44Z"},{"alias_kind":"pith_short_12","alias_value":"XRXBZU5VGN6L","created_at":"2026-05-18T12:27:27Z"},{"alias_kind":"pith_short_16","alias_value":"XRXBZU5VGN6LCDCE","created_at":"2026-05-18T12:27:27Z"},{"alias_kind":"pith_short_8","alias_value":"XRXBZU5V","created_at":"2026-05-18T12:27:27Z"}],"graph_snapshots":[{"event_id":"sha256:6c50691ef902d447b5ecbdcd45e7d8341550821a548b010aac441b55bc8f3f70","target":"graph","created_at":"2026-05-18T03:38:44Z","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"},"paper":{"abstract_excerpt":"We study an optimal process control problem with multiple assignable causes. The process is initially in-control but is subject to random transition to one of multiple out-of-control states due to assignable causes. The objective is to find an optimal stopping rule under partial observation that maximizes the total expected reward in infinite horizon. The problem is formulated as a partially observable Markov decision process (POMDP) with the belief space consisting of state probability vectors. New observations are obtained at fixed sampling interval to update the belief vector using Bayes' t","authors_text":"Chi-Guhn Lee, Jue Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2012-12-11T16:26:12Z","title":"The Bayesian process control with multiple assignable causes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1212.2523","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:ffc212790f895373e58ad49ac10b11d5bdb4e605d66401f03b01015d618fdb8f","target":"record","created_at":"2026-05-18T03:38:44Z","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":"967a12fe7d6ab9e05765f6bb4a5891cb05693a46b94a9f5d5e612eab260dc6be","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2012-12-11T16:26:12Z","title_canon_sha256":"cb00e3ca9c6a814c27ed3011af6973217a5df2e6379486ad8d6002d466d16ffa"},"schema_version":"1.0","source":{"id":"1212.2523","kind":"arxiv","version":1}},"canonical_sha256":"bc6e1cd3b5337cb10c44828e4f75e13365010ff8e93b39d18b02fc2252165f56","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bc6e1cd3b5337cb10c44828e4f75e13365010ff8e93b39d18b02fc2252165f56","first_computed_at":"2026-05-18T03:38:44.348069Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:38:44.348069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y4gqCmcmH6sw11ZbXCuK0VPoTm6RAbXltqPxStD1yCX+jiCONddtPA73K7jQJYJCQdy6sASAUYVJKoyiX7tfAw==","signature_status":"signed_v1","signed_at":"2026-05-18T03:38:44.348751Z","signed_message":"canonical_sha256_bytes"},"source_id":"1212.2523","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ffc212790f895373e58ad49ac10b11d5bdb4e605d66401f03b01015d618fdb8f","sha256:6c50691ef902d447b5ecbdcd45e7d8341550821a548b010aac441b55bc8f3f70"],"state_sha256":"3ccd712e65199ae8ba75b654310c3b93e6e00ec1da9651c9cd3883d370e7044f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cJQLbVvxG/v8+BU+WesPyfdBFjrN2uIMvSVBoNGK44pHFx6nkGW59wpJzjyfKcrRlv9g+IHpTlPH5E5I/GgDAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-24T05:13:27.762454Z","bundle_sha256":"d9b54ceb7523f905ea3649afca9a000841dca84875348d3b0b65f310daf82c25"}}