{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:B7P4FKSM6DWYFCQPX5VMA637DA","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":"17a267704548f69087b32462c7a60bf164fc1c3f716a00248cba574b233319f5","cross_cats_sorted":["stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.PR","submitted_at":"2016-01-09T19:22:27Z","title_canon_sha256":"a736f7436c25ef0a613ea95092dd2e9eb343b50664898f65a165f12f8946a50d"},"schema_version":"1.0","source":{"id":"1601.02149","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1601.02149","created_at":"2026-05-18T01:23:07Z"},{"alias_kind":"arxiv_version","alias_value":"1601.02149v1","created_at":"2026-05-18T01:23:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.02149","created_at":"2026-05-18T01:23:07Z"},{"alias_kind":"pith_short_12","alias_value":"B7P4FKSM6DWY","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_16","alias_value":"B7P4FKSM6DWYFCQP","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_8","alias_value":"B7P4FKSM","created_at":"2026-05-18T12:30:07Z"}],"graph_snapshots":[{"event_id":"sha256:50f784b24d592993448c99a32f59ec94a0371cb4f4843ed134d3d5f878aeccf5","target":"graph","created_at":"2026-05-18T01:23:07Z","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":"It has been recently shown that numerical semiparametric bounds on the expected payoff of fi- nancial or actuarial instruments can be computed using semidefinite programming. However, this approach has practical limitations. Here we use column generation, a classical optimization technique, to address these limitations. From column generation, it follows that practical univari- ate semiparametric bounds can be found by solving a series of linear programs. In addition to moment information, the column generation approach allows the inclusion of extra information about the random variable; for i","authors_text":"Juan Vera, Luis F. Zuluaga, Robert Howley, Robert Storer","cross_cats":["stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.PR","submitted_at":"2016-01-09T19:22:27Z","title":"Computing semiparametric bounds on the expected payments of insurance instruments via column generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.02149","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":"sha256:83486204f939d9f205b9b582ff18763e40acbf1e2e28f10134aa3f1bb8310e94","target":"record","created_at":"2026-05-18T01:23:07Z","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":"17a267704548f69087b32462c7a60bf164fc1c3f716a00248cba574b233319f5","cross_cats_sorted":["stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.PR","submitted_at":"2016-01-09T19:22:27Z","title_canon_sha256":"a736f7436c25ef0a613ea95092dd2e9eb343b50664898f65a165f12f8946a50d"},"schema_version":"1.0","source":{"id":"1601.02149","kind":"arxiv","version":1}},"canonical_sha256":"0fdfc2aa4cf0ed828a0fbf6ac07b7f18331c8f73d83d10520263a8f0f5ed8876","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0fdfc2aa4cf0ed828a0fbf6ac07b7f18331c8f73d83d10520263a8f0f5ed8876","first_computed_at":"2026-05-18T01:23:07.134049Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:23:07.134049Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vRk4KvdjMaw0s1R13u3ALOXEiz5xkIWbGDsXBeoZDJKhlzgVgV0aC3c5QehEIBweydNUH+SueQP5m2bjRxnMCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:23:07.134528Z","signed_message":"canonical_sha256_bytes"},"source_id":"1601.02149","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:83486204f939d9f205b9b582ff18763e40acbf1e2e28f10134aa3f1bb8310e94","sha256:50f784b24d592993448c99a32f59ec94a0371cb4f4843ed134d3d5f878aeccf5"],"state_sha256":"03dc3fd43ee052caecb3e3df1fbe4699323839dd589a28d3f5e5960712f5e4c1"}