{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:QSBIZ43W4NKGOUD2HX3XNUAJ22","short_pith_number":"pith:QSBIZ43W","canonical_record":{"source":{"id":"1908.02880","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-08-08T00:05:51Z","cross_cats_sorted":[],"title_canon_sha256":"7bc1414e88f47aa1bbd8b411867d83bf4f83ced1ba756013125475d18e03158f","abstract_canon_sha256":"2b6655c31fb6a88d522d141d7968ba9e0036c3012c5d9ae3adc63fd01fa6c629"},"schema_version":"1.0"},"canonical_sha256":"84828cf376e35467507a3df776d009d69546008b0a3c2e97a5035c6276a2d899","source":{"kind":"arxiv","id":"1908.02880","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.02880","created_at":"2026-07-04T23:52:24Z"},{"alias_kind":"arxiv_version","alias_value":"1908.02880v1","created_at":"2026-07-04T23:52:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.02880","created_at":"2026-07-04T23:52:24Z"},{"alias_kind":"pith_short_12","alias_value":"QSBIZ43W4NKG","created_at":"2026-07-04T23:52:24Z"},{"alias_kind":"pith_short_16","alias_value":"QSBIZ43W4NKGOUD2","created_at":"2026-07-04T23:52:24Z"},{"alias_kind":"pith_short_8","alias_value":"QSBIZ43W","created_at":"2026-07-04T23:52:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:QSBIZ43W4NKGOUD2HX3XNUAJ22","target":"record","payload":{"canonical_record":{"source":{"id":"1908.02880","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-08-08T00:05:51Z","cross_cats_sorted":[],"title_canon_sha256":"7bc1414e88f47aa1bbd8b411867d83bf4f83ced1ba756013125475d18e03158f","abstract_canon_sha256":"2b6655c31fb6a88d522d141d7968ba9e0036c3012c5d9ae3adc63fd01fa6c629"},"schema_version":"1.0"},"canonical_sha256":"84828cf376e35467507a3df776d009d69546008b0a3c2e97a5035c6276a2d899","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:52:24.407975Z","signature_b64":"h5JOoxNJPa72EUHbecc/nBfk7qdn7WQmlybDMY+c7rkNgtFgWrp1Fit5YBCLjiAkagrP6p2HFrEmDA7bfXkdDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"84828cf376e35467507a3df776d009d69546008b0a3c2e97a5035c6276a2d899","last_reissued_at":"2026-07-04T23:52:24.407597Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:52:24.407597Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.02880","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":"2026-07-04T23:52:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ge+pWnXHaH24VO9uulCP9mK8KiyfgT7je1wn2DFwIsQTWr9Lbcuc8zhL32B8Bs4MN6OR8pusgDY1lnzDALXGBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T23:09:16.806196Z"},"content_sha256":"27b6d6bcfa6f08a8b71db6f30a038b4ecc214ad68214c9f3571cdd541687cdbc","schema_version":"1.0","event_id":"sha256:27b6d6bcfa6f08a8b71db6f30a038b4ecc214ad68214c9f3571cdd541687cdbc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:QSBIZ43W4NKGOUD2HX3XNUAJ22","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Benchmarking Surrogate-Assisted Genetic Recommender Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Philipp Altmann, Thomas Gabor","submitted_at":"2019-08-08T00:05:51Z","abstract_excerpt":"We propose a new approach for building recommender systems by adapting surrogate-assisted interactive genetic algorithms. A pool of user-evaluated items is used to construct an approximative model which serves as a surrogate fitness function in a genetic algorithm for optimizing new suggestions. The surrogate is used to recommend new items to the user, which are then evaluated according to the user's liking and subsequently removed from the search space. By updating the surrogate model after new recommendations have been evaluated by the user, we enable the model itself to evolve towards the u"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.02880","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/1908.02880/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":"2026-07-04T23:52:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HHXu6sX7u92AHX6a2maNfhHbBK1oC82e/uAmF0DY58yr9I9zp9kokNQD1Kv0MZp9GCIqU1sIfWCa94hzq23MBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T23:09:16.808577Z"},"content_sha256":"f60929b94370a8fd1e710d4677a2cbf7610efcfe2e780fac79f3bafa8588e4e6","schema_version":"1.0","event_id":"sha256:f60929b94370a8fd1e710d4677a2cbf7610efcfe2e780fac79f3bafa8588e4e6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QSBIZ43W4NKGOUD2HX3XNUAJ22/bundle.json","state_url":"https://pith.science/pith/QSBIZ43W4NKGOUD2HX3XNUAJ22/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QSBIZ43W4NKGOUD2HX3XNUAJ22/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":"2026-08-16T23:09:16Z","links":{"resolver":"https://pith.science/pith/QSBIZ43W4NKGOUD2HX3XNUAJ22","bundle":"https://pith.science/pith/QSBIZ43W4NKGOUD2HX3XNUAJ22/bundle.json","state":"https://pith.science/pith/QSBIZ43W4NKGOUD2HX3XNUAJ22/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QSBIZ43W4NKGOUD2HX3XNUAJ22/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:QSBIZ43W4NKGOUD2HX3XNUAJ22","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":"2b6655c31fb6a88d522d141d7968ba9e0036c3012c5d9ae3adc63fd01fa6c629","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-08-08T00:05:51Z","title_canon_sha256":"7bc1414e88f47aa1bbd8b411867d83bf4f83ced1ba756013125475d18e03158f"},"schema_version":"1.0","source":{"id":"1908.02880","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.02880","created_at":"2026-07-04T23:52:24Z"},{"alias_kind":"arxiv_version","alias_value":"1908.02880v1","created_at":"2026-07-04T23:52:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.02880","created_at":"2026-07-04T23:52:24Z"},{"alias_kind":"pith_short_12","alias_value":"QSBIZ43W4NKG","created_at":"2026-07-04T23:52:24Z"},{"alias_kind":"pith_short_16","alias_value":"QSBIZ43W4NKGOUD2","created_at":"2026-07-04T23:52:24Z"},{"alias_kind":"pith_short_8","alias_value":"QSBIZ43W","created_at":"2026-07-04T23:52:24Z"}],"graph_snapshots":[{"event_id":"sha256:f60929b94370a8fd1e710d4677a2cbf7610efcfe2e780fac79f3bafa8588e4e6","target":"graph","created_at":"2026-07-04T23:52:24Z","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/1908.02880/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a new approach for building recommender systems by adapting surrogate-assisted interactive genetic algorithms. A pool of user-evaluated items is used to construct an approximative model which serves as a surrogate fitness function in a genetic algorithm for optimizing new suggestions. The surrogate is used to recommend new items to the user, which are then evaluated according to the user's liking and subsequently removed from the search space. By updating the surrogate model after new recommendations have been evaluated by the user, we enable the model itself to evolve towards the u","authors_text":"Philipp Altmann, Thomas Gabor","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-08-08T00:05:51Z","title":"Benchmarking Surrogate-Assisted Genetic Recommender Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.02880","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":"sha256:27b6d6bcfa6f08a8b71db6f30a038b4ecc214ad68214c9f3571cdd541687cdbc","target":"record","created_at":"2026-07-04T23:52:24Z","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":"2b6655c31fb6a88d522d141d7968ba9e0036c3012c5d9ae3adc63fd01fa6c629","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-08-08T00:05:51Z","title_canon_sha256":"7bc1414e88f47aa1bbd8b411867d83bf4f83ced1ba756013125475d18e03158f"},"schema_version":"1.0","source":{"id":"1908.02880","kind":"arxiv","version":1}},"canonical_sha256":"84828cf376e35467507a3df776d009d69546008b0a3c2e97a5035c6276a2d899","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"84828cf376e35467507a3df776d009d69546008b0a3c2e97a5035c6276a2d899","first_computed_at":"2026-07-04T23:52:24.407597Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:52:24.407597Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h5JOoxNJPa72EUHbecc/nBfk7qdn7WQmlybDMY+c7rkNgtFgWrp1Fit5YBCLjiAkagrP6p2HFrEmDA7bfXkdDA==","signature_status":"signed_v1","signed_at":"2026-07-04T23:52:24.407975Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.02880","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:27b6d6bcfa6f08a8b71db6f30a038b4ecc214ad68214c9f3571cdd541687cdbc","sha256:f60929b94370a8fd1e710d4677a2cbf7610efcfe2e780fac79f3bafa8588e4e6"],"state_sha256":"66fe1a78880ccc37df7a95567d8368e40443c2e7e5102bc2fcaa63248344458e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cU4SJdfMTc9cHjaE1Sy/tWJ0tJrkZFtRgp1+YDTYhG4eQ8pb8tXHZrRqCv9RrED6Yfyu9WwnPCjJBpce/lw7AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T23:09:16.823430Z","bundle_sha256":"39eb6a8feb5a64d165bb76b4603be37a685de690b145a08d3d7b7f4c581db1eb"}}