{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KDPQK4H3GDI32LVDT3DGLF6KA2","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":"6fb2acc094d0666ee08786c71e9ae918dcf99d9be3cabaf5804c03ebfe78ebb9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-04-09T17:49:09Z","title_canon_sha256":"f85d55c295f782764224ae2e526b920140ac8c9b98d87133604c149c6ca3c783"},"schema_version":"1.0","source":{"id":"2504.07077","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.07077","created_at":"2026-07-05T10:46:50Z"},{"alias_kind":"arxiv_version","alias_value":"2504.07077v1","created_at":"2026-07-05T10:46:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.07077","created_at":"2026-07-05T10:46:50Z"},{"alias_kind":"pith_short_12","alias_value":"KDPQK4H3GDI3","created_at":"2026-07-05T10:46:50Z"},{"alias_kind":"pith_short_16","alias_value":"KDPQK4H3GDI32LVD","created_at":"2026-07-05T10:46:50Z"},{"alias_kind":"pith_short_8","alias_value":"KDPQK4H3","created_at":"2026-07-05T10:46:50Z"}],"graph_snapshots":[{"event_id":"sha256:6b8832c00989cf4faf5256302557214c43b3268d960e1e8ea89b91d4561fdbf8","target":"graph","created_at":"2026-07-05T10:46:50Z","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/2504.07077/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite significant efforts, the realization of the hybrid quantum-classical algorithms has predominantly been confined to proof-of-principles, mainly due to the hardware noise. With fault-tolerant implementation being a long-term goal, going beyond small molecules with existing error mitigation (EM) techniques with current noisy intermediate scale quantum (NISQ) devices has been a challenge. That being said, statistical learning methods are promising approaches to learning the noise and its subsequent mitigation. We devise a graph neural network and regression-based machine learning (ML) arch","authors_text":"Dibyendu Mondal, Rahul Maitra, Srushti Patil","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-04-09T17:49:09Z","title":"Machine Learning Approach towards Quantum Error Mitigation for Accurate Molecular Energetics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.07077","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:e756059a5e33f7ef4c47adc1f9f8766b51baf90224a44fdbfca817a1814f4c57","target":"record","created_at":"2026-07-05T10:46:50Z","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":"6fb2acc094d0666ee08786c71e9ae918dcf99d9be3cabaf5804c03ebfe78ebb9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-04-09T17:49:09Z","title_canon_sha256":"f85d55c295f782764224ae2e526b920140ac8c9b98d87133604c149c6ca3c783"},"schema_version":"1.0","source":{"id":"2504.07077","kind":"arxiv","version":1}},"canonical_sha256":"50df0570fb30d1bd2ea39ec66597ca06ac100243523f9c10fd38f187b95a6a68","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50df0570fb30d1bd2ea39ec66597ca06ac100243523f9c10fd38f187b95a6a68","first_computed_at":"2026-07-05T10:46:50.838872Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:46:50.838872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XdfpuNIQ/LqaP9jeS4M6emMboBMDlc0o3RmuajmVhcFp8GackRp6D8WCeC5/UvCeeOFznZ01q2NFmlGpoLHICw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:46:50.839383Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.07077","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e756059a5e33f7ef4c47adc1f9f8766b51baf90224a44fdbfca817a1814f4c57","sha256:6b8832c00989cf4faf5256302557214c43b3268d960e1e8ea89b91d4561fdbf8"],"state_sha256":"83855fc62a7d67f0ae5b3ff0666502583d11ad5782d44d659e84107bb06c3f15"}