{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MKBJMJFJM2Q52NAW2WNP3ETRQE","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":"4f29352ead48ce87dc53b7fdd22d90fe5de39a6506e492634b32b01b04332d8d","cross_cats_sorted":["cond-mat.mtrl-sci","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-05-08T16:43:25Z","title_canon_sha256":"aa17b1e9057303cbb8cb41b455d1a78daf550d6aa93009e9e201005308f5fa5a"},"schema_version":"1.0","source":{"id":"2405.05205","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.05205","created_at":"2026-07-05T08:17:06Z"},{"alias_kind":"arxiv_version","alias_value":"2405.05205v1","created_at":"2026-07-05T08:17:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.05205","created_at":"2026-07-05T08:17:06Z"},{"alias_kind":"pith_short_12","alias_value":"MKBJMJFJM2Q5","created_at":"2026-07-05T08:17:06Z"},{"alias_kind":"pith_short_16","alias_value":"MKBJMJFJM2Q52NAW","created_at":"2026-07-05T08:17:06Z"},{"alias_kind":"pith_short_8","alias_value":"MKBJMJFJ","created_at":"2026-07-05T08:17:06Z"}],"graph_snapshots":[{"event_id":"sha256:2b0057c2cc83c4ebebe5594977f9a762e6ad95a446c7c1428ccfe27a245e34dc","target":"graph","created_at":"2026-07-05T08:17:06Z","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/2405.05205/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To accelerate the process of materials design, materials science has increasingly used data driven techniques to extract information from collected data. Specially, machine learning (ML) algorithms, which span the ML discipline, have demonstrated ability to predict various properties of materials with the level of accuracy similar to explicit calculation of quantum mechanical theories, but with significantly reduced run time and computational resources. Within ML, graph neural networks have emerged as an important algorithm within the field of machine learning, since they are capable of predic","authors_text":"Andrew Vlasic, Anh Pham, Hamed Mohammadbagherpoor, Michael Vitz, Richard Padbury, Samarth Sandeep","cross_cats":["cond-mat.mtrl-sci","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-05-08T16:43:25Z","title":"Hybrid Quantum Graph Neural Network for Molecular Property Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.05205","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:deb02ac6a86bde71c46ea8c43b4260f347d91119041b4b0d430eebe85f817aac","target":"record","created_at":"2026-07-05T08:17:06Z","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":"4f29352ead48ce87dc53b7fdd22d90fe5de39a6506e492634b32b01b04332d8d","cross_cats_sorted":["cond-mat.mtrl-sci","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-05-08T16:43:25Z","title_canon_sha256":"aa17b1e9057303cbb8cb41b455d1a78daf550d6aa93009e9e201005308f5fa5a"},"schema_version":"1.0","source":{"id":"2405.05205","kind":"arxiv","version":1}},"canonical_sha256":"62829624a966a1dd3416d59afd927181033c97f29a7a6b3aad75ae66b17b05f4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"62829624a966a1dd3416d59afd927181033c97f29a7a6b3aad75ae66b17b05f4","first_computed_at":"2026-07-05T08:17:06.254293Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:17:06.254293Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ri73P9VwQzuV+6/MdYlWMEA554Pw2/dlahg9Unq34vjeOH0iIO6m4ytMriwpppwu/4sfVO3G+NvgUMYt88MjAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:17:06.254866Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.05205","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:deb02ac6a86bde71c46ea8c43b4260f347d91119041b4b0d430eebe85f817aac","sha256:2b0057c2cc83c4ebebe5594977f9a762e6ad95a446c7c1428ccfe27a245e34dc"],"state_sha256":"fe5b965e46e057780ae406f4859c4ce8484786b32049f81538a83b3e5930e58d"}