{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:JWH7BOF53JCR5VT3U6TXCMUWBJ","short_pith_number":"pith:JWH7BOF5","schema_version":"1.0","canonical_sha256":"4d8ff0b8bdda451ed67ba7a77132960a5cebaecb1e47835b3cd7c2807646a575","source":{"kind":"arxiv","id":"1710.00249","version":2},"attestation_state":"computed","paper":{"title":"Low-Energy Deep Belief Networks using Intrinsic Sigmoidal Spintronic-based Probabilistic Neurons","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.ET","authors_text":"Chris H. Kim, Ibrahim Ahmed, Kerem Yunus Camsari, Ramtin Zand, Ronald F. DeMara, Steven D. Pyle","submitted_at":"2017-09-30T19:23:09Z","abstract_excerpt":"A low-energy hardware implementation of deep belief network (DBN) architecture is developed using near-zero energy barrier probabilistic spin logic devices (p-bits), which are modeled to realize an intrinsic sigmoidal activation function. A CMOS/spin based weighted array structure is designed to implement a restricted Boltzmann machine (RBM). Device-level simulations based on precise physics relations are used to validate the sigmoidal relation between the output probability of a p-bit and its input currents. Characteristics of the resistive networks and p-bits are modeled in SPICE to perform "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1710.00249","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2017-09-30T19:23:09Z","cross_cats_sorted":[],"title_canon_sha256":"2a1209657541d02aaed23230ad292bef7cd308c9d3787a1e913019aad9b844dd","abstract_canon_sha256":"33ed85bbfdbed9b4ee48a13117237925f26f71dc3812b8d7924aef859c01e38d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:37.680472Z","signature_b64":"FoyKLPgs2sbuDeLw4NN3VeAGX/HWrAIGD22E3bq1JV9/4QskZvbhg0Q4lHnVrBfZW+DunUfnQbmWH/YeVcp9Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4d8ff0b8bdda451ed67ba7a77132960a5cebaecb1e47835b3cd7c2807646a575","last_reissued_at":"2026-05-18T00:13:37.679871Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:37.679871Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Low-Energy Deep Belief Networks using Intrinsic Sigmoidal Spintronic-based Probabilistic Neurons","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.ET","authors_text":"Chris H. Kim, Ibrahim Ahmed, Kerem Yunus Camsari, Ramtin Zand, Ronald F. DeMara, Steven D. Pyle","submitted_at":"2017-09-30T19:23:09Z","abstract_excerpt":"A low-energy hardware implementation of deep belief network (DBN) architecture is developed using near-zero energy barrier probabilistic spin logic devices (p-bits), which are modeled to realize an intrinsic sigmoidal activation function. A CMOS/spin based weighted array structure is designed to implement a restricted Boltzmann machine (RBM). Device-level simulations based on precise physics relations are used to validate the sigmoidal relation between the output probability of a p-bit and its input currents. Characteristics of the resistive networks and p-bits are modeled in SPICE to perform "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.00249","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1710.00249","created_at":"2026-05-18T00:13:37.679975+00:00"},{"alias_kind":"arxiv_version","alias_value":"1710.00249v2","created_at":"2026-05-18T00:13:37.679975+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.00249","created_at":"2026-05-18T00:13:37.679975+00:00"},{"alias_kind":"pith_short_12","alias_value":"JWH7BOF53JCR","created_at":"2026-05-18T12:31:24.725408+00:00"},{"alias_kind":"pith_short_16","alias_value":"JWH7BOF53JCR5VT3","created_at":"2026-05-18T12:31:24.725408+00:00"},{"alias_kind":"pith_short_8","alias_value":"JWH7BOF5","created_at":"2026-05-18T12:31:24.725408+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/JWH7BOF53JCR5VT3U6TXCMUWBJ","json":"https://pith.science/pith/JWH7BOF53JCR5VT3U6TXCMUWBJ.json","graph_json":"https://pith.science/api/pith-number/JWH7BOF53JCR5VT3U6TXCMUWBJ/graph.json","events_json":"https://pith.science/api/pith-number/JWH7BOF53JCR5VT3U6TXCMUWBJ/events.json","paper":"https://pith.science/paper/JWH7BOF5"},"agent_actions":{"view_html":"https://pith.science/pith/JWH7BOF53JCR5VT3U6TXCMUWBJ","download_json":"https://pith.science/pith/JWH7BOF53JCR5VT3U6TXCMUWBJ.json","view_paper":"https://pith.science/paper/JWH7BOF5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1710.00249&json=true","fetch_graph":"https://pith.science/api/pith-number/JWH7BOF53JCR5VT3U6TXCMUWBJ/graph.json","fetch_events":"https://pith.science/api/pith-number/JWH7BOF53JCR5VT3U6TXCMUWBJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JWH7BOF53JCR5VT3U6TXCMUWBJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JWH7BOF53JCR5VT3U6TXCMUWBJ/action/storage_attestation","attest_author":"https://pith.science/pith/JWH7BOF53JCR5VT3U6TXCMUWBJ/action/author_attestation","sign_citation":"https://pith.science/pith/JWH7BOF53JCR5VT3U6TXCMUWBJ/action/citation_signature","submit_replication":"https://pith.science/pith/JWH7BOF53JCR5VT3U6TXCMUWBJ/action/replication_record"}},"created_at":"2026-05-18T00:13:37.679975+00:00","updated_at":"2026-05-18T00:13:37.679975+00:00"}