{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:NOZ67NEQXIIPBWMOSW2W7GGKGU","short_pith_number":"pith:NOZ67NEQ","canonical_record":{"source":{"id":"2504.16350","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"quant-ph","submitted_at":"2025-04-23T02:00:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"01dc2fd5b361f752a6ec38d37c6a2f1b0402eecfaec1db29773d1157499ab87a","abstract_canon_sha256":"b49a31a38e9b5bd14dd34a847968a479e266c5f85a2d29aabf1f157471f1912b"},"schema_version":"1.0"},"canonical_sha256":"6bb3efb490ba10f0d98e95b56f98ca350fe5ae0c51127b41ca132fbf6cedefcf","source":{"kind":"arxiv","id":"2504.16350","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.16350","created_at":"2026-07-05T10:52:45Z"},{"alias_kind":"arxiv_version","alias_value":"2504.16350v1","created_at":"2026-07-05T10:52:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.16350","created_at":"2026-07-05T10:52:45Z"},{"alias_kind":"pith_short_12","alias_value":"NOZ67NEQXIIP","created_at":"2026-07-05T10:52:45Z"},{"alias_kind":"pith_short_16","alias_value":"NOZ67NEQXIIPBWMO","created_at":"2026-07-05T10:52:45Z"},{"alias_kind":"pith_short_8","alias_value":"NOZ67NEQ","created_at":"2026-07-05T10:52:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:NOZ67NEQXIIPBWMOSW2W7GGKGU","target":"record","payload":{"canonical_record":{"source":{"id":"2504.16350","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"quant-ph","submitted_at":"2025-04-23T02:00:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"01dc2fd5b361f752a6ec38d37c6a2f1b0402eecfaec1db29773d1157499ab87a","abstract_canon_sha256":"b49a31a38e9b5bd14dd34a847968a479e266c5f85a2d29aabf1f157471f1912b"},"schema_version":"1.0"},"canonical_sha256":"6bb3efb490ba10f0d98e95b56f98ca350fe5ae0c51127b41ca132fbf6cedefcf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:52:45.300917Z","signature_b64":"nzz8JXeyprUcI6SHjlY39rMxc+crqPRReeO1pQL45N/L5acZhW82FJJg8FF2bHEDjr3oMSbdMDGsWTKcWienAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6bb3efb490ba10f0d98e95b56f98ca350fe5ae0c51127b41ca132fbf6cedefcf","last_reissued_at":"2026-07-05T10:52:45.300437Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:52:45.300437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.16350","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":"2026-07-05T10:52:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"leRuZiYXj80lu7o6Yq32UHMkRcgOr06LXeg7DYrz1Tze0T+SqhPDSJSS3DhUZXjxt0zbinvUelDPJzDlEiCBDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T10:07:00.042248Z"},"content_sha256":"dd86d297430c5630e3fbff2f358bcef95ef28e4516b1865fba24e7b5b3a80882","schema_version":"1.0","event_id":"sha256:dd86d297430c5630e3fbff2f358bcef95ef28e4516b1865fba24e7b5b3a80882"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:NOZ67NEQXIIPBWMOSW2W7GGKGU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"quant-ph","authors_text":"Ilya Safro, Ilya Tyagin, Karunya Shirali, Kyle Sherbert, Marwa H. Farag, Yuri Alexeev","submitted_at":"2025-04-23T02:00:36Z","abstract_excerpt":"Quantum computing has the potential to improve our ability to solve certain optimization problems that are computationally difficult for classical computers, by offering new algorithmic approaches that may provide speedups under specific conditions. In this work, we introduce QAOA-GPT, a generative framework that leverages Generative Pretrained Transformers (GPT) to directly synthesize quantum circuits for solving quadratic unconstrained binary optimization problems, and demonstrate it on the MaxCut problem on graphs. To diversify the training circuits and ensure their quality, we have generat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.16350","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/2504.16350/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":"2026-07-05T10:52:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nxdBG7K0w1tTz4TDLJzrSjrgHYL2XB64zA/OXpNIEY7eitO9kr+QKmXTwi7M9DtlFsgFxyHMJdRYJip0OMoACg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T10:07:00.043212Z"},"content_sha256":"d7d92fbd8351f0da7d0c2b42a9260a9ef24760c78d600e27f22151c701d09d1f","schema_version":"1.0","event_id":"sha256:d7d92fbd8351f0da7d0c2b42a9260a9ef24760c78d600e27f22151c701d09d1f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NOZ67NEQXIIPBWMOSW2W7GGKGU/bundle.json","state_url":"https://pith.science/pith/NOZ67NEQXIIPBWMOSW2W7GGKGU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NOZ67NEQXIIPBWMOSW2W7GGKGU/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":"2026-08-05T10:07:00Z","links":{"resolver":"https://pith.science/pith/NOZ67NEQXIIPBWMOSW2W7GGKGU","bundle":"https://pith.science/pith/NOZ67NEQXIIPBWMOSW2W7GGKGU/bundle.json","state":"https://pith.science/pith/NOZ67NEQXIIPBWMOSW2W7GGKGU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NOZ67NEQXIIPBWMOSW2W7GGKGU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NOZ67NEQXIIPBWMOSW2W7GGKGU","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":"b49a31a38e9b5bd14dd34a847968a479e266c5f85a2d29aabf1f157471f1912b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"quant-ph","submitted_at":"2025-04-23T02:00:36Z","title_canon_sha256":"01dc2fd5b361f752a6ec38d37c6a2f1b0402eecfaec1db29773d1157499ab87a"},"schema_version":"1.0","source":{"id":"2504.16350","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.16350","created_at":"2026-07-05T10:52:45Z"},{"alias_kind":"arxiv_version","alias_value":"2504.16350v1","created_at":"2026-07-05T10:52:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.16350","created_at":"2026-07-05T10:52:45Z"},{"alias_kind":"pith_short_12","alias_value":"NOZ67NEQXIIP","created_at":"2026-07-05T10:52:45Z"},{"alias_kind":"pith_short_16","alias_value":"NOZ67NEQXIIPBWMO","created_at":"2026-07-05T10:52:45Z"},{"alias_kind":"pith_short_8","alias_value":"NOZ67NEQ","created_at":"2026-07-05T10:52:45Z"}],"graph_snapshots":[{"event_id":"sha256:d7d92fbd8351f0da7d0c2b42a9260a9ef24760c78d600e27f22151c701d09d1f","target":"graph","created_at":"2026-07-05T10:52:45Z","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/2504.16350/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantum computing has the potential to improve our ability to solve certain optimization problems that are computationally difficult for classical computers, by offering new algorithmic approaches that may provide speedups under specific conditions. In this work, we introduce QAOA-GPT, a generative framework that leverages Generative Pretrained Transformers (GPT) to directly synthesize quantum circuits for solving quadratic unconstrained binary optimization problems, and demonstrate it on the MaxCut problem on graphs. To diversify the training circuits and ensure their quality, we have generat","authors_text":"Ilya Safro, Ilya Tyagin, Karunya Shirali, Kyle Sherbert, Marwa H. Farag, Yuri Alexeev","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"quant-ph","submitted_at":"2025-04-23T02:00:36Z","title":"QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.16350","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:dd86d297430c5630e3fbff2f358bcef95ef28e4516b1865fba24e7b5b3a80882","target":"record","created_at":"2026-07-05T10:52:45Z","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":"b49a31a38e9b5bd14dd34a847968a479e266c5f85a2d29aabf1f157471f1912b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"quant-ph","submitted_at":"2025-04-23T02:00:36Z","title_canon_sha256":"01dc2fd5b361f752a6ec38d37c6a2f1b0402eecfaec1db29773d1157499ab87a"},"schema_version":"1.0","source":{"id":"2504.16350","kind":"arxiv","version":1}},"canonical_sha256":"6bb3efb490ba10f0d98e95b56f98ca350fe5ae0c51127b41ca132fbf6cedefcf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6bb3efb490ba10f0d98e95b56f98ca350fe5ae0c51127b41ca132fbf6cedefcf","first_computed_at":"2026-07-05T10:52:45.300437Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:52:45.300437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nzz8JXeyprUcI6SHjlY39rMxc+crqPRReeO1pQL45N/L5acZhW82FJJg8FF2bHEDjr3oMSbdMDGsWTKcWienAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:52:45.300917Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.16350","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd86d297430c5630e3fbff2f358bcef95ef28e4516b1865fba24e7b5b3a80882","sha256:d7d92fbd8351f0da7d0c2b42a9260a9ef24760c78d600e27f22151c701d09d1f"],"state_sha256":"7cf9207d53a418073ab148da3b096787af26c619b46f7f698f1849dd2d339a90"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NHJp8rL9GVBij+Z3U39wza4fK9tZMO3RM0eKZwB0zNERw5RNbgy8fQjGTfkPxmDROq5N7rawn31FyyZ1OSlBCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T10:07:00.050439Z","bundle_sha256":"c43fb43aed76f3ff5993e1dd1f0c51360381086cad5739226782b64e6f9f2bd1"}}