{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WBWWCZRMSXK6N2Z6WHNTQGDJIX","short_pith_number":"pith:WBWWCZRM","canonical_record":{"source":{"id":"2503.21336","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-03-27T10:13:41Z","cross_cats_sorted":[],"title_canon_sha256":"6482c69b7955baeb3187fcd33ff80a23e743023088a6fa70a2757ea6634a9d90","abstract_canon_sha256":"b7436600f1079b9572b299fc31912e5e28e9c3ee8e1d20a4ddd1d1c45cb263e2"},"schema_version":"1.0"},"canonical_sha256":"b06d61662c95d5e6eb3eb1db38186945efb865ee5f91aa3e9f9829638aa9816b","source":{"kind":"arxiv","id":"2503.21336","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.21336","created_at":"2026-07-05T11:15:45Z"},{"alias_kind":"arxiv_version","alias_value":"2503.21336v3","created_at":"2026-07-05T11:15:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.21336","created_at":"2026-07-05T11:15:45Z"},{"alias_kind":"pith_short_12","alias_value":"WBWWCZRMSXK6","created_at":"2026-07-05T11:15:45Z"},{"alias_kind":"pith_short_16","alias_value":"WBWWCZRMSXK6N2Z6","created_at":"2026-07-05T11:15:45Z"},{"alias_kind":"pith_short_8","alias_value":"WBWWCZRM","created_at":"2026-07-05T11:15:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WBWWCZRMSXK6N2Z6WHNTQGDJIX","target":"record","payload":{"canonical_record":{"source":{"id":"2503.21336","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-03-27T10:13:41Z","cross_cats_sorted":[],"title_canon_sha256":"6482c69b7955baeb3187fcd33ff80a23e743023088a6fa70a2757ea6634a9d90","abstract_canon_sha256":"b7436600f1079b9572b299fc31912e5e28e9c3ee8e1d20a4ddd1d1c45cb263e2"},"schema_version":"1.0"},"canonical_sha256":"b06d61662c95d5e6eb3eb1db38186945efb865ee5f91aa3e9f9829638aa9816b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:15:45.748987Z","signature_b64":"QtOmQTKxPMQTsA/fIXXlZvyuLqaKF/7tmisB/uklvL7p6okuw1fxbeQ9DCVXAhoIsaInK2wkIWM4G7XwZyofAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b06d61662c95d5e6eb3eb1db38186945efb865ee5f91aa3e9f9829638aa9816b","last_reissued_at":"2026-07-05T11:15:45.748430Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:15:45.748430Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.21336","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:15:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"459BSrUEkqyFaQ0xJWVXjPvI/kgaLRFy5eGHtgnqEj43dxQU2lfLgA/UyTzANXSymtWg0ZWF8gRdLL/ZhdUWAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T04:53:18.794995Z"},"content_sha256":"9abfd3e3fa022dbbde4864ef86d3b0f430ff1235fad9bd39868bf30ad68b070f","schema_version":"1.0","event_id":"sha256:9abfd3e3fa022dbbde4864ef86d3b0f430ff1235fad9bd39868bf30ad68b070f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WBWWCZRMSXK6N2Z6WHNTQGDJIX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adaptive Variational Quantum Kolmogorov-Arnold Network","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Andriyan B. Suksmono, Hikaru Wakaura, Rahmat Mulyawan","submitted_at":"2025-03-27T10:13:41Z","abstract_excerpt":"Kolmogorov-Arnold Network (KAN) is a novel multi-layer neuromorphic network. Many groups worldwide have studied this network, including image processing, time series analysis, solving physical problems, and practical applications such as medical use. Therefore, we propose an Adaptive Variational Quantum Kolmogorov-Arnold Network (VQKAN) that takes advantage of KAN for Variational Quantum Algorithms in an adaptive manner. The Adaptive VQKAN is VQKAN that uses adaptive ansatz as the ansatz and repeat VQKAN growing the ansatz just like Adaptive Variational Quantum Eigensolver (VQE). The scheme in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.21336","kind":"arxiv","version":3},"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/2503.21336/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":"2026-07-05T11:15:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nLFRWeSRlP0HBp9VUVKHjcPofBnGbrBUztY/1LctCDZwdkjj2cearlR8IHXHu+u160Y1jkotHrTSnEi0G6dlBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T04:53:18.795481Z"},"content_sha256":"54c35d6219ddae9a476adc83d703dbdbf656ded380cb51b109960bb492f5d9c9","schema_version":"1.0","event_id":"sha256:54c35d6219ddae9a476adc83d703dbdbf656ded380cb51b109960bb492f5d9c9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WBWWCZRMSXK6N2Z6WHNTQGDJIX/bundle.json","state_url":"https://pith.science/pith/WBWWCZRMSXK6N2Z6WHNTQGDJIX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WBWWCZRMSXK6N2Z6WHNTQGDJIX/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":"2026-08-08T04:53:18Z","links":{"resolver":"https://pith.science/pith/WBWWCZRMSXK6N2Z6WHNTQGDJIX","bundle":"https://pith.science/pith/WBWWCZRMSXK6N2Z6WHNTQGDJIX/bundle.json","state":"https://pith.science/pith/WBWWCZRMSXK6N2Z6WHNTQGDJIX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WBWWCZRMSXK6N2Z6WHNTQGDJIX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WBWWCZRMSXK6N2Z6WHNTQGDJIX","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":"b7436600f1079b9572b299fc31912e5e28e9c3ee8e1d20a4ddd1d1c45cb263e2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-03-27T10:13:41Z","title_canon_sha256":"6482c69b7955baeb3187fcd33ff80a23e743023088a6fa70a2757ea6634a9d90"},"schema_version":"1.0","source":{"id":"2503.21336","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.21336","created_at":"2026-07-05T11:15:45Z"},{"alias_kind":"arxiv_version","alias_value":"2503.21336v3","created_at":"2026-07-05T11:15:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.21336","created_at":"2026-07-05T11:15:45Z"},{"alias_kind":"pith_short_12","alias_value":"WBWWCZRMSXK6","created_at":"2026-07-05T11:15:45Z"},{"alias_kind":"pith_short_16","alias_value":"WBWWCZRMSXK6N2Z6","created_at":"2026-07-05T11:15:45Z"},{"alias_kind":"pith_short_8","alias_value":"WBWWCZRM","created_at":"2026-07-05T11:15:45Z"}],"graph_snapshots":[{"event_id":"sha256:54c35d6219ddae9a476adc83d703dbdbf656ded380cb51b109960bb492f5d9c9","target":"graph","created_at":"2026-07-05T11:15:45Z","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/2503.21336/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Kolmogorov-Arnold Network (KAN) is a novel multi-layer neuromorphic network. Many groups worldwide have studied this network, including image processing, time series analysis, solving physical problems, and practical applications such as medical use. Therefore, we propose an Adaptive Variational Quantum Kolmogorov-Arnold Network (VQKAN) that takes advantage of KAN for Variational Quantum Algorithms in an adaptive manner. The Adaptive VQKAN is VQKAN that uses adaptive ansatz as the ansatz and repeat VQKAN growing the ansatz just like Adaptive Variational Quantum Eigensolver (VQE). The scheme in","authors_text":"Andriyan B. Suksmono, Hikaru Wakaura, Rahmat Mulyawan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-03-27T10:13:41Z","title":"Adaptive Variational Quantum Kolmogorov-Arnold Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.21336","kind":"arxiv","version":3},"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":"sha256:9abfd3e3fa022dbbde4864ef86d3b0f430ff1235fad9bd39868bf30ad68b070f","target":"record","created_at":"2026-07-05T11:15:45Z","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":"b7436600f1079b9572b299fc31912e5e28e9c3ee8e1d20a4ddd1d1c45cb263e2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-03-27T10:13:41Z","title_canon_sha256":"6482c69b7955baeb3187fcd33ff80a23e743023088a6fa70a2757ea6634a9d90"},"schema_version":"1.0","source":{"id":"2503.21336","kind":"arxiv","version":3}},"canonical_sha256":"b06d61662c95d5e6eb3eb1db38186945efb865ee5f91aa3e9f9829638aa9816b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b06d61662c95d5e6eb3eb1db38186945efb865ee5f91aa3e9f9829638aa9816b","first_computed_at":"2026-07-05T11:15:45.748430Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:45.748430Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QtOmQTKxPMQTsA/fIXXlZvyuLqaKF/7tmisB/uklvL7p6okuw1fxbeQ9DCVXAhoIsaInK2wkIWM4G7XwZyofAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:45.748987Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.21336","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9abfd3e3fa022dbbde4864ef86d3b0f430ff1235fad9bd39868bf30ad68b070f","sha256:54c35d6219ddae9a476adc83d703dbdbf656ded380cb51b109960bb492f5d9c9"],"state_sha256":"ca0d24b562179aaa8e51ded2cd2bcc1ef0e95da0a25aaa5413f7a2fe4606db76"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E0lW4Jhay2Dznpzz0c1IfJiWJX6FlJttGWohtxK7nzsxGeXxoShOp6RbgTDYeGyL4XdpqQXGwnU7RFGHi4yqAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T04:53:18.798885Z","bundle_sha256":"f2466b480b7b384e9c777066f3f4ca875b9efd261610e92ae4c34c1751aaf028"}}