{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:PUM2W377NXPSQRYP6DHKW4B6LJ","short_pith_number":"pith:PUM2W377","canonical_record":{"source":{"id":"2412.17104","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-12-22T17:32:38Z","cross_cats_sorted":["hep-ph"],"title_canon_sha256":"5ef559b6b511fb4b55fa308d8297aa1e99571a92458234d09aeaf391a0b6e4e4","abstract_canon_sha256":"1c267b898d9cefbff90eb49feeec8fe3bdb73b4c070c9cf7c5f975d3d67792df"},"schema_version":"1.0"},"canonical_sha256":"7d19ab6fff6ddf28470ff0ceab703e5a58f825c9b63d1a1694cf6bd69110ed36","source":{"kind":"arxiv","id":"2412.17104","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.17104","created_at":"2026-07-05T09:53:17Z"},{"alias_kind":"arxiv_version","alias_value":"2412.17104v1","created_at":"2026-07-05T09:53:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17104","created_at":"2026-07-05T09:53:17Z"},{"alias_kind":"pith_short_12","alias_value":"PUM2W377NXPS","created_at":"2026-07-05T09:53:17Z"},{"alias_kind":"pith_short_16","alias_value":"PUM2W377NXPSQRYP","created_at":"2026-07-05T09:53:17Z"},{"alias_kind":"pith_short_8","alias_value":"PUM2W377","created_at":"2026-07-05T09:53:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:PUM2W377NXPSQRYP6DHKW4B6LJ","target":"record","payload":{"canonical_record":{"source":{"id":"2412.17104","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-12-22T17:32:38Z","cross_cats_sorted":["hep-ph"],"title_canon_sha256":"5ef559b6b511fb4b55fa308d8297aa1e99571a92458234d09aeaf391a0b6e4e4","abstract_canon_sha256":"1c267b898d9cefbff90eb49feeec8fe3bdb73b4c070c9cf7c5f975d3d67792df"},"schema_version":"1.0"},"canonical_sha256":"7d19ab6fff6ddf28470ff0ceab703e5a58f825c9b63d1a1694cf6bd69110ed36","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:53:17.683208Z","signature_b64":"2zCSKnXyA0WHijaspk8O9+mdp7iiPr7tz+4xKUcbQH97BrUbLhnSRx5nr8bOgwdCnRxRiDWW16bW9rXrbSUODA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7d19ab6fff6ddf28470ff0ceab703e5a58f825c9b63d1a1694cf6bd69110ed36","last_reissued_at":"2026-07-05T09:53:17.682829Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:53:17.682829Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.17104","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":"2026-07-05T09:53:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"501gftKm3oA3VsCNE+q4P5bCWyOm9G9FmdDf7MGT2p1soPuszyQ1plwgFCII3D0n06aCorGT1BxRcivQpi6TAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T23:44:08.236610Z"},"content_sha256":"ff89f177f81f9b2548941305c4a49e319710d8599f87969bed92739251eb94ae","schema_version":"1.0","event_id":"sha256:ff89f177f81f9b2548941305c4a49e319710d8599f87969bed92739251eb94ae"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:PUM2W377NXPSQRYP6DHKW4B6LJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A diversity-enhanced genetic algorithm for efficient exploration of parameter spaces","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["hep-ph"],"primary_cat":"cs.NE","authors_text":"Eliel Camargo-Molina, Jonas Wess\\'en","submitted_at":"2024-12-22T17:32:38Z","abstract_excerpt":"We present a Python package together with a practical guide for the implementation of a lightweight diversity-enhanced genetic algorithm (GA) approach for the exploration of multi-dimensional parameter spaces. Searching a parameter space for regions with desirable properties, e.g. compatibility with experimental data, poses a type of optimization problem wherein the focus lies on pinpointing all \"good enough\" solutions, rather than a single \"best solution\". Our approach dramatically outperforms random scans and other GA-based implementations in this aspect. We validate the effectiveness of our"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17104","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.17104/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":"2026-07-05T09:53:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sAEttiMRLYNDLrGtTu9Ay+VmYRp5GDqZA/nsahtgFWWLL/I2Efn3lL6GnV1AG8HfPDMekij5dFG5optkHm1OBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T23:44:08.237129Z"},"content_sha256":"478523ab7d0e40803793664d733ff178f0d95c62d038281aaeb2dc2d4dcc9642","schema_version":"1.0","event_id":"sha256:478523ab7d0e40803793664d733ff178f0d95c62d038281aaeb2dc2d4dcc9642"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PUM2W377NXPSQRYP6DHKW4B6LJ/bundle.json","state_url":"https://pith.science/pith/PUM2W377NXPSQRYP6DHKW4B6LJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PUM2W377NXPSQRYP6DHKW4B6LJ/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":"2026-08-15T23:44:08Z","links":{"resolver":"https://pith.science/pith/PUM2W377NXPSQRYP6DHKW4B6LJ","bundle":"https://pith.science/pith/PUM2W377NXPSQRYP6DHKW4B6LJ/bundle.json","state":"https://pith.science/pith/PUM2W377NXPSQRYP6DHKW4B6LJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PUM2W377NXPSQRYP6DHKW4B6LJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PUM2W377NXPSQRYP6DHKW4B6LJ","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":"1c267b898d9cefbff90eb49feeec8fe3bdb73b4c070c9cf7c5f975d3d67792df","cross_cats_sorted":["hep-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-12-22T17:32:38Z","title_canon_sha256":"5ef559b6b511fb4b55fa308d8297aa1e99571a92458234d09aeaf391a0b6e4e4"},"schema_version":"1.0","source":{"id":"2412.17104","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.17104","created_at":"2026-07-05T09:53:17Z"},{"alias_kind":"arxiv_version","alias_value":"2412.17104v1","created_at":"2026-07-05T09:53:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17104","created_at":"2026-07-05T09:53:17Z"},{"alias_kind":"pith_short_12","alias_value":"PUM2W377NXPS","created_at":"2026-07-05T09:53:17Z"},{"alias_kind":"pith_short_16","alias_value":"PUM2W377NXPSQRYP","created_at":"2026-07-05T09:53:17Z"},{"alias_kind":"pith_short_8","alias_value":"PUM2W377","created_at":"2026-07-05T09:53:17Z"}],"graph_snapshots":[{"event_id":"sha256:478523ab7d0e40803793664d733ff178f0d95c62d038281aaeb2dc2d4dcc9642","target":"graph","created_at":"2026-07-05T09:53:17Z","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/2412.17104/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a Python package together with a practical guide for the implementation of a lightweight diversity-enhanced genetic algorithm (GA) approach for the exploration of multi-dimensional parameter spaces. Searching a parameter space for regions with desirable properties, e.g. compatibility with experimental data, poses a type of optimization problem wherein the focus lies on pinpointing all \"good enough\" solutions, rather than a single \"best solution\". Our approach dramatically outperforms random scans and other GA-based implementations in this aspect. We validate the effectiveness of our","authors_text":"Eliel Camargo-Molina, Jonas Wess\\'en","cross_cats":["hep-ph"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-12-22T17:32:38Z","title":"A diversity-enhanced genetic algorithm for efficient exploration of parameter spaces"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17104","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:ff89f177f81f9b2548941305c4a49e319710d8599f87969bed92739251eb94ae","target":"record","created_at":"2026-07-05T09:53:17Z","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":"1c267b898d9cefbff90eb49feeec8fe3bdb73b4c070c9cf7c5f975d3d67792df","cross_cats_sorted":["hep-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-12-22T17:32:38Z","title_canon_sha256":"5ef559b6b511fb4b55fa308d8297aa1e99571a92458234d09aeaf391a0b6e4e4"},"schema_version":"1.0","source":{"id":"2412.17104","kind":"arxiv","version":1}},"canonical_sha256":"7d19ab6fff6ddf28470ff0ceab703e5a58f825c9b63d1a1694cf6bd69110ed36","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7d19ab6fff6ddf28470ff0ceab703e5a58f825c9b63d1a1694cf6bd69110ed36","first_computed_at":"2026-07-05T09:53:17.682829Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:53:17.682829Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2zCSKnXyA0WHijaspk8O9+mdp7iiPr7tz+4xKUcbQH97BrUbLhnSRx5nr8bOgwdCnRxRiDWW16bW9rXrbSUODA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:53:17.683208Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.17104","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff89f177f81f9b2548941305c4a49e319710d8599f87969bed92739251eb94ae","sha256:478523ab7d0e40803793664d733ff178f0d95c62d038281aaeb2dc2d4dcc9642"],"state_sha256":"40700e22bee9910f6c1003a17e6d34372ad0f961a7cf1a8021e275ee860af2eb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yKAI3ivkkffMJjwNItU0SWI6lFqzTcOYOTR3cpDTUoTnm1bCvV4+S2JXIhYd5p/+fOy7gnrx9i5eHMNhN5IuDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T23:44:08.241840Z","bundle_sha256":"a730228af72e0df52b9d4845d1cbf0165f6ce568c8376fe3f311061ed4aa0544"}}