{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:VL7WS5HJW44OUCCEPRRLZ3GHEN","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":"3f0f4cfeeeabafa7a96916f75ee2bdff4b27a9dc7d0197165ac5a662cb88b830","cross_cats_sorted":["cs.AI","cs.ET","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2023-04-12T16:18:12Z","title_canon_sha256":"431db8f6c8178325304b3397f5ff07612058da9f6a05ce7816ccd27f6cec9b7e"},"schema_version":"1.0","source":{"id":"2304.05949","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.05949","created_at":"2026-07-05T08:01:29Z"},{"alias_kind":"arxiv_version","alias_value":"2304.05949v3","created_at":"2026-07-05T08:01:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.05949","created_at":"2026-07-05T08:01:29Z"},{"alias_kind":"pith_short_12","alias_value":"VL7WS5HJW44O","created_at":"2026-07-05T08:01:29Z"},{"alias_kind":"pith_short_16","alias_value":"VL7WS5HJW44OUCCE","created_at":"2026-07-05T08:01:29Z"},{"alias_kind":"pith_short_8","alias_value":"VL7WS5HJ","created_at":"2026-07-05T08:01:29Z"}],"graph_snapshots":[{"event_id":"sha256:ed7a6aa4bdbb47e6e963a7c87bbe25925b3e5f182f80ab5616a84692fd03c412","target":"graph","created_at":"2026-07-05T08:01:29Z","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/2304.05949/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Extending Moore's law by augmenting complementary-metal-oxide semiconductor (CMOS) transistors with emerging nanotechnologies (X) has become increasingly important. One important class of problems involve sampling-based Monte Carlo algorithms used in probabilistic machine learning, optimization, and quantum simulation. Here, we combine stochastic magnetic tunnel junction (sMTJ)-based probabilistic bits (p-bits) with Field Programmable Gate Arrays (FPGA) to create an energy-efficient CMOS + X (X = sMTJ) prototype. This setup shows how asynchronously driven CMOS circuits controlled by sMTJs can ","authors_text":"Hideo Ohno, Keito Kobayashi, Kemal Selcuk, Kerem Y. Camsari, Navid Anjum Aadit, Nihal Sanjay Singh, Qixuan Cao, Shaila Niazi, Shun Kanai, Shunsuke Fukami, Tianrui Hu","cross_cats":["cs.AI","cs.ET","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2023-04-12T16:18:12Z","title":"CMOS + stochastic nanomagnets: heterogeneous computers for probabilistic inference and learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.05949","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:f884a8a2b8132231307e777c08abb72b92a2a63a66542b90cc57d42df70f8ec6","target":"record","created_at":"2026-07-05T08:01:29Z","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":"3f0f4cfeeeabafa7a96916f75ee2bdff4b27a9dc7d0197165ac5a662cb88b830","cross_cats_sorted":["cs.AI","cs.ET","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2023-04-12T16:18:12Z","title_canon_sha256":"431db8f6c8178325304b3397f5ff07612058da9f6a05ce7816ccd27f6cec9b7e"},"schema_version":"1.0","source":{"id":"2304.05949","kind":"arxiv","version":3}},"canonical_sha256":"aaff6974e9b738ea08447c62bcecc723729a34064d534734aba390572dd0dc35","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aaff6974e9b738ea08447c62bcecc723729a34064d534734aba390572dd0dc35","first_computed_at":"2026-07-05T08:01:29.973474Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:01:29.973474Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tXbkOYodgladu00Y24cZZi3PYfD1QIzH6x72OJ/lidoVTom1CEBgrEmCsfiJKDCna/tsc//sFeraU0vRi0xVCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:01:29.973963Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.05949","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f884a8a2b8132231307e777c08abb72b92a2a63a66542b90cc57d42df70f8ec6","sha256:ed7a6aa4bdbb47e6e963a7c87bbe25925b3e5f182f80ab5616a84692fd03c412"],"state_sha256":"4aba0547b8e2b50eefefedd83f6cd4c9a3f67d2c2b9342d2020056c2d151e0cb"}