{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:EZTWA45N472O34PZESNRJLJY5B","short_pith_number":"pith:EZTWA45N","canonical_record":{"source":{"id":"2409.13315","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-09-20T08:20:31Z","cross_cats_sorted":[],"title_canon_sha256":"350645bb212e5edbcee6d0e08e48289faa0869b2ab16dc10c8ed2d09518da220","abstract_canon_sha256":"22e8bf334ca4b3916f02a2cbb850a49650020708f0b196c3a1431ef211bf34c9"},"schema_version":"1.0"},"canonical_sha256":"26676073ade7f4edf1f9249b14ad38e87338bd2ac3cfb159a549e5767fe53979","source":{"kind":"arxiv","id":"2409.13315","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.13315","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"arxiv_version","alias_value":"2409.13315v2","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.13315","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"pith_short_12","alias_value":"EZTWA45N472O","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"pith_short_16","alias_value":"EZTWA45N472O34PZ","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"pith_short_8","alias_value":"EZTWA45N","created_at":"2026-07-05T10:22:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:EZTWA45N472O34PZESNRJLJY5B","target":"record","payload":{"canonical_record":{"source":{"id":"2409.13315","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-09-20T08:20:31Z","cross_cats_sorted":[],"title_canon_sha256":"350645bb212e5edbcee6d0e08e48289faa0869b2ab16dc10c8ed2d09518da220","abstract_canon_sha256":"22e8bf334ca4b3916f02a2cbb850a49650020708f0b196c3a1431ef211bf34c9"},"schema_version":"1.0"},"canonical_sha256":"26676073ade7f4edf1f9249b14ad38e87338bd2ac3cfb159a549e5767fe53979","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:22:50.088340Z","signature_b64":"7KSVwauNpG+3LhIocJ8ZrWuHi2rs/qyk2XMOKb+NbRDAB8k6xaonrlzC09JV3HJr9PRymQag4rUB8+hBbGMNCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"26676073ade7f4edf1f9249b14ad38e87338bd2ac3cfb159a549e5767fe53979","last_reissued_at":"2026-07-05T10:22:50.087654Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:22:50.087654Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.13315","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":"2026-07-05T10:22:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Pdr1hFyy8SuHVrrWa/OmDmE//pJweo4suhJgP4O+lVOIhIUf3b/bnTtp/lK1NUGBGtOY8bH87RcosZbKIqxfAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T21:14:37.515812Z"},"content_sha256":"5d8b78174c2da43d5c0e350e8ccf35c533f4d0adb2600c0235111713af9f3f00","schema_version":"1.0","event_id":"sha256:5d8b78174c2da43d5c0e350e8ccf35c533f4d0adb2600c0235111713af9f3f00"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:EZTWA45N472O34PZESNRJLJY5B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring the Performance-Reproducibility Trade-off in Quality-Diversity","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Antoine Cully, Bryan Lim, Hannah Janmohamed, Manon Flageat","submitted_at":"2024-09-20T08:20:31Z","abstract_excerpt":"Quality-Diversity (QD) algorithms have exhibited promising results across many domains and applications. However, uncertainty in fitness and behaviour estimations of solutions remains a major challenge when QD is used in complex real-world applications. While several approaches have been proposed to improve the performance in uncertain applications, many fail to address a key challenge: determining how to prioritise solutions that perform consistently under uncertainty, in other words, solutions that are reproducible. Most prior methods improve fitness and reproducibility jointly, ignoring the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.13315","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/2409.13315/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":"2026-07-05T10:22:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7rgcjnAHn1MNSCOiWdLYAWGki1OO4vjVIdkLPxKjXCcbFH1CKA5ujS9PIAkCx0/oY6d+KgkexgqIHow9to0qAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T21:14:37.516310Z"},"content_sha256":"b30ce8c7e72cf91862f945eb4d433328c0a5dad485d6d4fc5c75dd609da53901","schema_version":"1.0","event_id":"sha256:b30ce8c7e72cf91862f945eb4d433328c0a5dad485d6d4fc5c75dd609da53901"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EZTWA45N472O34PZESNRJLJY5B/bundle.json","state_url":"https://pith.science/pith/EZTWA45N472O34PZESNRJLJY5B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EZTWA45N472O34PZESNRJLJY5B/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":"2026-08-11T21:14:37Z","links":{"resolver":"https://pith.science/pith/EZTWA45N472O34PZESNRJLJY5B","bundle":"https://pith.science/pith/EZTWA45N472O34PZESNRJLJY5B/bundle.json","state":"https://pith.science/pith/EZTWA45N472O34PZESNRJLJY5B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EZTWA45N472O34PZESNRJLJY5B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EZTWA45N472O34PZESNRJLJY5B","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":"22e8bf334ca4b3916f02a2cbb850a49650020708f0b196c3a1431ef211bf34c9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-09-20T08:20:31Z","title_canon_sha256":"350645bb212e5edbcee6d0e08e48289faa0869b2ab16dc10c8ed2d09518da220"},"schema_version":"1.0","source":{"id":"2409.13315","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.13315","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"arxiv_version","alias_value":"2409.13315v2","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.13315","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"pith_short_12","alias_value":"EZTWA45N472O","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"pith_short_16","alias_value":"EZTWA45N472O34PZ","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"pith_short_8","alias_value":"EZTWA45N","created_at":"2026-07-05T10:22:50Z"}],"graph_snapshots":[{"event_id":"sha256:b30ce8c7e72cf91862f945eb4d433328c0a5dad485d6d4fc5c75dd609da53901","target":"graph","created_at":"2026-07-05T10:22:50Z","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/2409.13315/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quality-Diversity (QD) algorithms have exhibited promising results across many domains and applications. However, uncertainty in fitness and behaviour estimations of solutions remains a major challenge when QD is used in complex real-world applications. While several approaches have been proposed to improve the performance in uncertain applications, many fail to address a key challenge: determining how to prioritise solutions that perform consistently under uncertainty, in other words, solutions that are reproducible. Most prior methods improve fitness and reproducibility jointly, ignoring the","authors_text":"Antoine Cully, Bryan Lim, Hannah Janmohamed, Manon Flageat","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-09-20T08:20:31Z","title":"Exploring the Performance-Reproducibility Trade-off in Quality-Diversity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.13315","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":"sha256:5d8b78174c2da43d5c0e350e8ccf35c533f4d0adb2600c0235111713af9f3f00","target":"record","created_at":"2026-07-05T10:22:50Z","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":"22e8bf334ca4b3916f02a2cbb850a49650020708f0b196c3a1431ef211bf34c9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2024-09-20T08:20:31Z","title_canon_sha256":"350645bb212e5edbcee6d0e08e48289faa0869b2ab16dc10c8ed2d09518da220"},"schema_version":"1.0","source":{"id":"2409.13315","kind":"arxiv","version":2}},"canonical_sha256":"26676073ade7f4edf1f9249b14ad38e87338bd2ac3cfb159a549e5767fe53979","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"26676073ade7f4edf1f9249b14ad38e87338bd2ac3cfb159a549e5767fe53979","first_computed_at":"2026-07-05T10:22:50.087654Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:22:50.087654Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7KSVwauNpG+3LhIocJ8ZrWuHi2rs/qyk2XMOKb+NbRDAB8k6xaonrlzC09JV3HJr9PRymQag4rUB8+hBbGMNCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:22:50.088340Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.13315","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5d8b78174c2da43d5c0e350e8ccf35c533f4d0adb2600c0235111713af9f3f00","sha256:b30ce8c7e72cf91862f945eb4d433328c0a5dad485d6d4fc5c75dd609da53901"],"state_sha256":"6e1224fe3854fb8b9a954ff681e4968382ffb9872467bf30917f9c50a8b3ff29"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7NldEWKibBjKHnnirBSJOQzOYzmMoz8gAHFz1ORzgMhTccB3WFbakqBnSiB4KZrU6PonHLflJgJax8ZcGkQjAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T21:14:37.520177Z","bundle_sha256":"ff128b58f9b5bee6cc5dde8a18efb8a57be23fb87e03723bc57cb6f54eb50b76"}}