{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:MUD6LUJXHHAPMGA5SLG2SLMAAR","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1d6cfdbda87b68f68cd5fab3488be1f87461e96d8b673ab10cc13776a93da425","cross_cats_sorted":["math.OC","q-fin.PM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-05-17T19:50:04Z","title_canon_sha256":"f983ff40444e46e9bdff0ee85ddf3e41fe125680b7f186be461e37a383a6aeef"},"schema_version":"1.0","source":{"id":"2605.17628","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17628","created_at":"2026-05-20T00:04:49Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17628v1","created_at":"2026-05-20T00:04:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17628","created_at":"2026-05-20T00:04:49Z"},{"alias_kind":"pith_short_12","alias_value":"MUD6LUJXHHAP","created_at":"2026-05-20T00:04:49Z"},{"alias_kind":"pith_short_16","alias_value":"MUD6LUJXHHAPMGA5","created_at":"2026-05-20T00:04:49Z"},{"alias_kind":"pith_short_8","alias_value":"MUD6LUJX","created_at":"2026-05-20T00:04:49Z"}],"graph_snapshots":[{"event_id":"sha256:4deab70a7a9cc15fe3aee22d1eb666a035b4a9db9b64962555f21ff340a40050","target":"graph","created_at":"2026-05-20T00:04:49Z","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":[{"findings_count":0,"name":"cited_work_retraction","ran_at":"2026-05-19T22:52:44.195290Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T21:33:23.560849Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T21:21:57.485489Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.17628/integrity.json","findings":[],"snapshot_sha256":"43bd2bfb0975289e01208f8c4d27b3c2034a1ad993e4fb6922af0c295c8077a8","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Direct quantum-annealer portfolio optimization is commonly formulated as a penalty-encoded QUBO and submitted to D-Wave hardware. We show that this standard formulation fails on current devices and identify the structural reason: the cardinality penalty contributes a dense rank-one term proportional to the all-ones matrix that makes the logical interaction graph complete regardless of the covariance structure. On Pegasus and Zephyr, chain-break fractions reach 83 percent at N equal to 24 and 92 percent at N equal to 49, producing no feasible samples. Attempting to fix this through topology-awa","authors_text":"Luis Lozano","cross_cats":["math.OC","q-fin.PM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-05-17T19:50:04Z","title":"A Penalty-Free Pipeline for Direct Quantum-Annealer Portfolio Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17628","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":"sha256:82b1a7235b927cee35c06d37aae54ed9b8b501c611388e66c3285560b8318866","target":"record","created_at":"2026-05-20T00:04:49Z","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":"1d6cfdbda87b68f68cd5fab3488be1f87461e96d8b673ab10cc13776a93da425","cross_cats_sorted":["math.OC","q-fin.PM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-05-17T19:50:04Z","title_canon_sha256":"f983ff40444e46e9bdff0ee85ddf3e41fe125680b7f186be461e37a383a6aeef"},"schema_version":"1.0","source":{"id":"2605.17628","kind":"arxiv","version":1}},"canonical_sha256":"6507e5d13739c0f6181d92cda92d80046a632c081ff13edf36e4f7f4d1ca382f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6507e5d13739c0f6181d92cda92d80046a632c081ff13edf36e4f7f4d1ca382f","first_computed_at":"2026-05-20T00:04:49.435208Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:04:49.435208Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"whRZOeMZCfHmZ3Kft7C+Zct2bD/OYJzukBCVHkURAe/cLv5c+Jr1rjFkpWlsLJCMyYa8p8UkNW9ocuKhIeGiAA==","signature_status":"signed_v1","signed_at":"2026-05-20T00:04:49.436030Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.17628","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:82b1a7235b927cee35c06d37aae54ed9b8b501c611388e66c3285560b8318866","sha256:4deab70a7a9cc15fe3aee22d1eb666a035b4a9db9b64962555f21ff340a40050","sha256:0dd068f26c64f8419a647fc2910b2b1d99e96ac4a41982dd3abe6bf4bba63a34"],"state_sha256":"cf0950cf2ce2c0beeec139ddb6d40bd84919ac4f68248d1497904eeb1794d9ab"}