{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TJ4VOHQY22NW6NTGHYCIWG72YG","short_pith_number":"pith:TJ4VOHQY","canonical_record":{"source":{"id":"2411.18141","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-11-27T08:43:07Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"7a7c98f575f66ed2aa9854d99c08a10ac957eac77934150aeef43f3ef01e50a4","abstract_canon_sha256":"0235b56c109b7dc489e794f34b4c351d8c57e4c73944f7a39866d3153ab06371"},"schema_version":"1.0"},"canonical_sha256":"9a79571e18d69b6f36663e048b1bfac1b7a74ec74b038c28e0695f22df00b321","source":{"kind":"arxiv","id":"2411.18141","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.18141","created_at":"2026-07-05T09:41:12Z"},{"alias_kind":"arxiv_version","alias_value":"2411.18141v1","created_at":"2026-07-05T09:41:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.18141","created_at":"2026-07-05T09:41:12Z"},{"alias_kind":"pith_short_12","alias_value":"TJ4VOHQY22NW","created_at":"2026-07-05T09:41:12Z"},{"alias_kind":"pith_short_16","alias_value":"TJ4VOHQY22NW6NTG","created_at":"2026-07-05T09:41:12Z"},{"alias_kind":"pith_short_8","alias_value":"TJ4VOHQY","created_at":"2026-07-05T09:41:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TJ4VOHQY22NW6NTGHYCIWG72YG","target":"record","payload":{"canonical_record":{"source":{"id":"2411.18141","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-11-27T08:43:07Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"7a7c98f575f66ed2aa9854d99c08a10ac957eac77934150aeef43f3ef01e50a4","abstract_canon_sha256":"0235b56c109b7dc489e794f34b4c351d8c57e4c73944f7a39866d3153ab06371"},"schema_version":"1.0"},"canonical_sha256":"9a79571e18d69b6f36663e048b1bfac1b7a74ec74b038c28e0695f22df00b321","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:41:12.446346Z","signature_b64":"aiZQN/F9hdkE195fCtL+92Vx9XjyqkZ/0ndb7ObUsw+LiSMRczjfpDDkXrSy/NkuE0aE5mzqQ0fZAtHeKLvdDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a79571e18d69b6f36663e048b1bfac1b7a74ec74b038c28e0695f22df00b321","last_reissued_at":"2026-07-05T09:41:12.445865Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:41:12.445865Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.18141","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":"2026-07-05T09:41:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YTO7h1XacCPquzp5tFb9sKaUkrWiaADULygmtASnI7o0m0oNC7tDP99OpsKAiVK293CSfn/jl5PBhTEvufQmDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T20:27:22.349547Z"},"content_sha256":"6db6d75053cc07150965ebc1973fc1f811ee9c8e6fa6ac2ce03f919de92afdaa","schema_version":"1.0","event_id":"sha256:6db6d75053cc07150965ebc1973fc1f811ee9c8e6fa6ac2ce03f919de92afdaa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TJ4VOHQY22NW6NTGHYCIWG72YG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"quant-ph","authors_text":"Jamal Al-Karaki, Marwan Omar, Muhammad Al-Zafar Khan","submitted_at":"2024-11-27T08:43:07Z","abstract_excerpt":"In this study, we consider a real-world application of QML techniques to study water quality in the U20A region in Durban, South Africa. Specifically, we applied the quantum support vector classifier (QSVC) and quantum neural network (QNN), and we showed that the QSVC is easier to implement and yields a higher accuracy. The QSVC models were applied for three kernels: Linear, polynomial, and radial basis function (RBF), and it was shown that the polynomial and RBF kernels had exactly the same performance. The QNN model was applied using different optimizers, learning rates, noise on the circuit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.18141","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/2411.18141/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":"2026-07-05T09:41:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aGQSnkQ9BWKjR/pYZyHH8Xca1wcLUHvjlC36cnSf0YqXPd6zVj57/IqpKGQAfSSaecrUZrmlhsEWRnif3LJjBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T20:27:22.350130Z"},"content_sha256":"f28f01c18078bec50151064ac558ea58f7d791669451c8c61906403e99dce873","schema_version":"1.0","event_id":"sha256:f28f01c18078bec50151064ac558ea58f7d791669451c8c61906403e99dce873"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TJ4VOHQY22NW6NTGHYCIWG72YG/bundle.json","state_url":"https://pith.science/pith/TJ4VOHQY22NW6NTGHYCIWG72YG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TJ4VOHQY22NW6NTGHYCIWG72YG/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":"2026-08-21T20:27:22Z","links":{"resolver":"https://pith.science/pith/TJ4VOHQY22NW6NTGHYCIWG72YG","bundle":"https://pith.science/pith/TJ4VOHQY22NW6NTGHYCIWG72YG/bundle.json","state":"https://pith.science/pith/TJ4VOHQY22NW6NTGHYCIWG72YG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TJ4VOHQY22NW6NTGHYCIWG72YG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TJ4VOHQY22NW6NTGHYCIWG72YG","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":"0235b56c109b7dc489e794f34b4c351d8c57e4c73944f7a39866d3153ab06371","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-11-27T08:43:07Z","title_canon_sha256":"7a7c98f575f66ed2aa9854d99c08a10ac957eac77934150aeef43f3ef01e50a4"},"schema_version":"1.0","source":{"id":"2411.18141","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.18141","created_at":"2026-07-05T09:41:12Z"},{"alias_kind":"arxiv_version","alias_value":"2411.18141v1","created_at":"2026-07-05T09:41:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.18141","created_at":"2026-07-05T09:41:12Z"},{"alias_kind":"pith_short_12","alias_value":"TJ4VOHQY22NW","created_at":"2026-07-05T09:41:12Z"},{"alias_kind":"pith_short_16","alias_value":"TJ4VOHQY22NW6NTG","created_at":"2026-07-05T09:41:12Z"},{"alias_kind":"pith_short_8","alias_value":"TJ4VOHQY","created_at":"2026-07-05T09:41:12Z"}],"graph_snapshots":[{"event_id":"sha256:f28f01c18078bec50151064ac558ea58f7d791669451c8c61906403e99dce873","target":"graph","created_at":"2026-07-05T09:41:12Z","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/2411.18141/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this study, we consider a real-world application of QML techniques to study water quality in the U20A region in Durban, South Africa. Specifically, we applied the quantum support vector classifier (QSVC) and quantum neural network (QNN), and we showed that the QSVC is easier to implement and yields a higher accuracy. The QSVC models were applied for three kernels: Linear, polynomial, and radial basis function (RBF), and it was shown that the polynomial and RBF kernels had exactly the same performance. The QNN model was applied using different optimizers, learning rates, noise on the circuit","authors_text":"Jamal Al-Karaki, Marwan Omar, Muhammad Al-Zafar Khan","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-11-27T08:43:07Z","title":"Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.18141","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":"sha256:6db6d75053cc07150965ebc1973fc1f811ee9c8e6fa6ac2ce03f919de92afdaa","target":"record","created_at":"2026-07-05T09:41:12Z","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":"0235b56c109b7dc489e794f34b4c351d8c57e4c73944f7a39866d3153ab06371","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-11-27T08:43:07Z","title_canon_sha256":"7a7c98f575f66ed2aa9854d99c08a10ac957eac77934150aeef43f3ef01e50a4"},"schema_version":"1.0","source":{"id":"2411.18141","kind":"arxiv","version":1}},"canonical_sha256":"9a79571e18d69b6f36663e048b1bfac1b7a74ec74b038c28e0695f22df00b321","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a79571e18d69b6f36663e048b1bfac1b7a74ec74b038c28e0695f22df00b321","first_computed_at":"2026-07-05T09:41:12.445865Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:41:12.445865Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aiZQN/F9hdkE195fCtL+92Vx9XjyqkZ/0ndb7ObUsw+LiSMRczjfpDDkXrSy/NkuE0aE5mzqQ0fZAtHeKLvdDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:41:12.446346Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.18141","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6db6d75053cc07150965ebc1973fc1f811ee9c8e6fa6ac2ce03f919de92afdaa","sha256:f28f01c18078bec50151064ac558ea58f7d791669451c8c61906403e99dce873"],"state_sha256":"d96c9ceb56e6f2ac6b7976df8cdce5c530aef50b830a1c34e06f2be750d227c1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+xsCZm/QNKMpH1lU9xsYT+0yrWPrg3dzJoN/NRrWm3uqS//0vfsW9XOSOTELLUP8wUUp2bCP2wCyTeqXVvm0CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T20:27:22.354834Z","bundle_sha256":"a666b28bd5b7c7af4a43bcc1732adfa92f1296a0a9c86c6dd6b57e23a2f675ba"}}