{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:4NSSB2ZK4P2DWLM7BXQMUJRLJN","short_pith_number":"pith:4NSSB2ZK","schema_version":"1.0","canonical_sha256":"e36520eb2ae3f43b2d9f0de0ca262b4b6ac4009a9ed5fba8e0f8856011cf10fc","source":{"kind":"arxiv","id":"1701.08068","version":1},"attestation_state":"computed","paper":{"title":"An Enhanced Lumped Element Electrical Model of a Double Barrier Memristive Device","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.ins-det"],"primary_cat":"cs.ET","authors_text":"Dietmar Schroeder, Enver Solan, Hermann Kohlstedt, Karlheinz Ochs, Martin Ziegler, Mirko Hansen, Sven Dirkmann, Thomas Mussenbrock","submitted_at":"2017-01-19T09:29:11Z","abstract_excerpt":"The massive parallel approach of neuromorphic circuits leads to effective methods for solving complex problems. It has turned out that resistive switching devices with a continuous resistance range are potential candidates for such applications. These devices are memristive systems - nonlinear resistors with memory. They are fabricated in nanotechnology and hence parameter spread during fabrication may aggravate reproducible analyses. This issue makes simulation models of memristive devices worthwhile.\n  Kinetic Monte-Carlo simulations based on a distributed model of the device can be used to "},"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":"1701.08068","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2017-01-19T09:29:11Z","cross_cats_sorted":["physics.ins-det"],"title_canon_sha256":"c74199cfeb5974fedd7e4805d58218fff91b31b8c3458f1ed46d7d115a987d6e","abstract_canon_sha256":"2817752e767c7b2ab365f815f4b498e1701d6f7a04cb1f0e0335f2882a12d319"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:18.004970Z","signature_b64":"632jD/Xd2XlcdKO9ruVpRXaFNimUK06dC3mf6XfYmg/ctLV+2fcL0mnJjF3UBC3Hx7lRDCs97Fu7CMKadZFjCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e36520eb2ae3f43b2d9f0de0ca262b4b6ac4009a9ed5fba8e0f8856011cf10fc","last_reissued_at":"2026-05-18T00:43:18.004327Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:18.004327Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Enhanced Lumped Element Electrical Model of a Double Barrier Memristive Device","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.ins-det"],"primary_cat":"cs.ET","authors_text":"Dietmar Schroeder, Enver Solan, Hermann Kohlstedt, Karlheinz Ochs, Martin Ziegler, Mirko Hansen, Sven Dirkmann, Thomas Mussenbrock","submitted_at":"2017-01-19T09:29:11Z","abstract_excerpt":"The massive parallel approach of neuromorphic circuits leads to effective methods for solving complex problems. It has turned out that resistive switching devices with a continuous resistance range are potential candidates for such applications. These devices are memristive systems - nonlinear resistors with memory. They are fabricated in nanotechnology and hence parameter spread during fabrication may aggravate reproducible analyses. This issue makes simulation models of memristive devices worthwhile.\n  Kinetic Monte-Carlo simulations based on a distributed model of the device can be used to "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.08068","kind":"arxiv","version":1},"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":"1701.08068","created_at":"2026-05-18T00:43:18.004412+00:00"},{"alias_kind":"arxiv_version","alias_value":"1701.08068v1","created_at":"2026-05-18T00:43:18.004412+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.08068","created_at":"2026-05-18T00:43:18.004412+00:00"},{"alias_kind":"pith_short_12","alias_value":"4NSSB2ZK4P2D","created_at":"2026-05-18T12:31:00.734936+00:00"},{"alias_kind":"pith_short_16","alias_value":"4NSSB2ZK4P2DWLM7","created_at":"2026-05-18T12:31:00.734936+00:00"},{"alias_kind":"pith_short_8","alias_value":"4NSSB2ZK","created_at":"2026-05-18T12:31:00.734936+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/4NSSB2ZK4P2DWLM7BXQMUJRLJN","json":"https://pith.science/pith/4NSSB2ZK4P2DWLM7BXQMUJRLJN.json","graph_json":"https://pith.science/api/pith-number/4NSSB2ZK4P2DWLM7BXQMUJRLJN/graph.json","events_json":"https://pith.science/api/pith-number/4NSSB2ZK4P2DWLM7BXQMUJRLJN/events.json","paper":"https://pith.science/paper/4NSSB2ZK"},"agent_actions":{"view_html":"https://pith.science/pith/4NSSB2ZK4P2DWLM7BXQMUJRLJN","download_json":"https://pith.science/pith/4NSSB2ZK4P2DWLM7BXQMUJRLJN.json","view_paper":"https://pith.science/paper/4NSSB2ZK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1701.08068&json=true","fetch_graph":"https://pith.science/api/pith-number/4NSSB2ZK4P2DWLM7BXQMUJRLJN/graph.json","fetch_events":"https://pith.science/api/pith-number/4NSSB2ZK4P2DWLM7BXQMUJRLJN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4NSSB2ZK4P2DWLM7BXQMUJRLJN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4NSSB2ZK4P2DWLM7BXQMUJRLJN/action/storage_attestation","attest_author":"https://pith.science/pith/4NSSB2ZK4P2DWLM7BXQMUJRLJN/action/author_attestation","sign_citation":"https://pith.science/pith/4NSSB2ZK4P2DWLM7BXQMUJRLJN/action/citation_signature","submit_replication":"https://pith.science/pith/4NSSB2ZK4P2DWLM7BXQMUJRLJN/action/replication_record"}},"created_at":"2026-05-18T00:43:18.004412+00:00","updated_at":"2026-05-18T00:43:18.004412+00:00"}