{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:4IMLEX4REEWVZRMK7CQGE2EROF","short_pith_number":"pith:4IMLEX4R","canonical_record":{"source":{"id":"1203.0388","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2012-03-02T08:22:18Z","cross_cats_sorted":[],"title_canon_sha256":"be6319042b6c129ef54d03b1b01d47dc202f641dc04cb88addbb1e5b7d4ad9c7","abstract_canon_sha256":"b100552e36ae04fb9feb7505267a9a97984e470221f55d9f166cf876658d1830"},"schema_version":"1.0"},"canonical_sha256":"e218b25f91212d5cc58af8a06268917155b00f7ebb3ece5247269c5d82f443b6","source":{"kind":"arxiv","id":"1203.0388","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1203.0388","created_at":"2026-05-18T03:51:01Z"},{"alias_kind":"arxiv_version","alias_value":"1203.0388v2","created_at":"2026-05-18T03:51:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.0388","created_at":"2026-05-18T03:51:01Z"},{"alias_kind":"pith_short_12","alias_value":"4IMLEX4REEWV","created_at":"2026-05-18T12:26:53Z"},{"alias_kind":"pith_short_16","alias_value":"4IMLEX4REEWVZRMK","created_at":"2026-05-18T12:26:53Z"},{"alias_kind":"pith_short_8","alias_value":"4IMLEX4R","created_at":"2026-05-18T12:26:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:4IMLEX4REEWVZRMK7CQGE2EROF","target":"record","payload":{"canonical_record":{"source":{"id":"1203.0388","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2012-03-02T08:22:18Z","cross_cats_sorted":[],"title_canon_sha256":"be6319042b6c129ef54d03b1b01d47dc202f641dc04cb88addbb1e5b7d4ad9c7","abstract_canon_sha256":"b100552e36ae04fb9feb7505267a9a97984e470221f55d9f166cf876658d1830"},"schema_version":"1.0"},"canonical_sha256":"e218b25f91212d5cc58af8a06268917155b00f7ebb3ece5247269c5d82f443b6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:51:01.930155Z","signature_b64":"Q2DLEl/pOq5czDZe8KFAQMQsUMo/Wnv1uR+7/t9nR3qZMd4lOkThwk/8O2gPTxSuE2P/Flaek9F/QCWZrni1BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e218b25f91212d5cc58af8a06268917155b00f7ebb3ece5247269c5d82f443b6","last_reissued_at":"2026-05-18T03:51:01.929256Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:51:01.929256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1203.0388","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":"2026-05-18T03:51:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q3fYY8YonvPlwFH72SRhszP1OEFyOLr2u6FkQD0f7zU+C41J19JyU4qSFtXocRzBZpLHo+1+A/mUNviBV5s2Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T07:21:50.362701Z"},"content_sha256":"4e70f355a3ea0873cf627809fc7152335b87db0e65b768b26cb619dfadf7ff0a","schema_version":"1.0","event_id":"sha256:4e70f355a3ea0873cf627809fc7152335b87db0e65b768b26cb619dfadf7ff0a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:4IMLEX4REEWVZRMK7CQGE2EROF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"System adjustment for targeted performance combining symbolic regression and set inversion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.NA","authors_text":"Abdelouahab Kenoufi, Bernard Durand, Jean-Fran\\c{c}ois Osselin","submitted_at":"2012-03-02T08:22:18Z","abstract_excerpt":"One presents methodology and algorithms to prepare a causal system in order to achieve desired performances if only input-output data are known and when no other informations are available. This can be done with mean of evolutionnary programming and set inversion methods, such as PSI-algorithm or SIvIA."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.0388","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":""},"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":"2026-05-18T03:51:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VbYk4O5cOxfGN1OCgJwDdj0Q24N4ufj8aKEa7DMnwk8F9D5iaB6ohxlGxNSPyzwJBWvVZPp8krBL97/GbGgLDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T07:21:50.363037Z"},"content_sha256":"9878e81d35db1c43a8f617246569ef7df876ce4dbbe2221519442338b6e53137","schema_version":"1.0","event_id":"sha256:9878e81d35db1c43a8f617246569ef7df876ce4dbbe2221519442338b6e53137"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4IMLEX4REEWVZRMK7CQGE2EROF/bundle.json","state_url":"https://pith.science/pith/4IMLEX4REEWVZRMK7CQGE2EROF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4IMLEX4REEWVZRMK7CQGE2EROF/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":"2026-06-03T07:21:50Z","links":{"resolver":"https://pith.science/pith/4IMLEX4REEWVZRMK7CQGE2EROF","bundle":"https://pith.science/pith/4IMLEX4REEWVZRMK7CQGE2EROF/bundle.json","state":"https://pith.science/pith/4IMLEX4REEWVZRMK7CQGE2EROF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4IMLEX4REEWVZRMK7CQGE2EROF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:4IMLEX4REEWVZRMK7CQGE2EROF","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":"b100552e36ae04fb9feb7505267a9a97984e470221f55d9f166cf876658d1830","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2012-03-02T08:22:18Z","title_canon_sha256":"be6319042b6c129ef54d03b1b01d47dc202f641dc04cb88addbb1e5b7d4ad9c7"},"schema_version":"1.0","source":{"id":"1203.0388","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1203.0388","created_at":"2026-05-18T03:51:01Z"},{"alias_kind":"arxiv_version","alias_value":"1203.0388v2","created_at":"2026-05-18T03:51:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.0388","created_at":"2026-05-18T03:51:01Z"},{"alias_kind":"pith_short_12","alias_value":"4IMLEX4REEWV","created_at":"2026-05-18T12:26:53Z"},{"alias_kind":"pith_short_16","alias_value":"4IMLEX4REEWVZRMK","created_at":"2026-05-18T12:26:53Z"},{"alias_kind":"pith_short_8","alias_value":"4IMLEX4R","created_at":"2026-05-18T12:26:53Z"}],"graph_snapshots":[{"event_id":"sha256:9878e81d35db1c43a8f617246569ef7df876ce4dbbe2221519442338b6e53137","target":"graph","created_at":"2026-05-18T03:51:01Z","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":"One presents methodology and algorithms to prepare a causal system in order to achieve desired performances if only input-output data are known and when no other informations are available. This can be done with mean of evolutionnary programming and set inversion methods, such as PSI-algorithm or SIvIA.","authors_text":"Abdelouahab Kenoufi, Bernard Durand, Jean-Fran\\c{c}ois Osselin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2012-03-02T08:22:18Z","title":"System adjustment for targeted performance combining symbolic regression and set inversion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.0388","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":"sha256:4e70f355a3ea0873cf627809fc7152335b87db0e65b768b26cb619dfadf7ff0a","target":"record","created_at":"2026-05-18T03:51:01Z","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":"b100552e36ae04fb9feb7505267a9a97984e470221f55d9f166cf876658d1830","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2012-03-02T08:22:18Z","title_canon_sha256":"be6319042b6c129ef54d03b1b01d47dc202f641dc04cb88addbb1e5b7d4ad9c7"},"schema_version":"1.0","source":{"id":"1203.0388","kind":"arxiv","version":2}},"canonical_sha256":"e218b25f91212d5cc58af8a06268917155b00f7ebb3ece5247269c5d82f443b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e218b25f91212d5cc58af8a06268917155b00f7ebb3ece5247269c5d82f443b6","first_computed_at":"2026-05-18T03:51:01.929256Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:51:01.929256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Q2DLEl/pOq5czDZe8KFAQMQsUMo/Wnv1uR+7/t9nR3qZMd4lOkThwk/8O2gPTxSuE2P/Flaek9F/QCWZrni1BA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:51:01.930155Z","signed_message":"canonical_sha256_bytes"},"source_id":"1203.0388","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4e70f355a3ea0873cf627809fc7152335b87db0e65b768b26cb619dfadf7ff0a","sha256:9878e81d35db1c43a8f617246569ef7df876ce4dbbe2221519442338b6e53137"],"state_sha256":"5d943f6715f09f07e2a6f78df513e38310af64948ec3f42c7c600ebeb0668420"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tVyQJRI1LvgtrGn8t/adNztDc6TQXWfA488pzcGXk9gUf1K0Awik0cEIW6qvmJt2L3cMSj+q26UNNJX7qEiZCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T07:21:50.364986Z","bundle_sha256":"45546a840d659d6e52004670f15d23bb14486e7aa93fc07b1b7ef13121aa58bb"}}