{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:H7CADN2NBWDQTVQJI6KOBMFHRF","short_pith_number":"pith:H7CADN2N","canonical_record":{"source":{"id":"1712.05895","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-12-16T02:45:02Z","cross_cats_sorted":["cs.ET","cs.NE"],"title_canon_sha256":"60c290a7aab07cca93c9f8732577e15c2974db88e398f6f884b6b2bf51e53e78","abstract_canon_sha256":"de4a47b862ff61accf0213f337565607b1ebc0cc2851727358dee07d404f38ec"},"schema_version":"1.0"},"canonical_sha256":"3fc401b74d0d8709d6094794e0b0a789533f744ed3b933c8aed531fc67357a62","source":{"kind":"arxiv","id":"1712.05895","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.05895","created_at":"2026-05-18T00:27:51Z"},{"alias_kind":"arxiv_version","alias_value":"1712.05895v1","created_at":"2026-05-18T00:27:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.05895","created_at":"2026-05-18T00:27:51Z"},{"alias_kind":"pith_short_12","alias_value":"H7CADN2NBWDQ","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"H7CADN2NBWDQTVQJ","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"H7CADN2N","created_at":"2026-05-18T12:31:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:H7CADN2NBWDQTVQJI6KOBMFHRF","target":"record","payload":{"canonical_record":{"source":{"id":"1712.05895","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-12-16T02:45:02Z","cross_cats_sorted":["cs.ET","cs.NE"],"title_canon_sha256":"60c290a7aab07cca93c9f8732577e15c2974db88e398f6f884b6b2bf51e53e78","abstract_canon_sha256":"de4a47b862ff61accf0213f337565607b1ebc0cc2851727358dee07d404f38ec"},"schema_version":"1.0"},"canonical_sha256":"3fc401b74d0d8709d6094794e0b0a789533f744ed3b933c8aed531fc67357a62","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:27:51.596890Z","signature_b64":"7nbWEAlqv+Wdd5E8jaDZG1jqNudV+fd9fjhXZE9jmnV50hVGwWCjDDssBi4uJcDlXSPdykx3dKsUKazoH7vgBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3fc401b74d0d8709d6094794e0b0a789533f744ed3b933c8aed531fc67357a62","last_reissued_at":"2026-05-18T00:27:51.596243Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:27:51.596243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1712.05895","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:27:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZtT6s8nsatF035Rhwow2MGdTHEy6Rqzk1l28NcO2ThYQ9hijzo8/iqKTQgspoCesPg8NslLtB+1Cc3mkwdDwCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T23:14:59.895775Z"},"content_sha256":"4c1367f32cc9d26d01972b55fe9cdf5d7b99711b5b0a73f7188f64a8fdb015ed","schema_version":"1.0","event_id":"sha256:4c1367f32cc9d26d01972b55fe9cdf5d7b99711b5b0a73f7188f64a8fdb015ed"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:H7CADN2NBWDQTVQJI6KOBMFHRF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Mitigating Asymmetric Nonlinear Weight Update Effects in Hardware Neural Network based on Analog Resistive Synapse","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.ET","cs.NE"],"primary_cat":"cs.LG","authors_text":"Boris Hudec, Che-Chia Chang, Chia-Ming Tsai, Chih-Cheng Chang, I-Ting Wang, Pin-Chun Chen, Teyuh Chou, Tian-Sheuan Chang, Tuo-Hung Hou","submitted_at":"2017-12-16T02:45:02Z","abstract_excerpt":"Asymmetric nonlinear weight update is considered as one of the major obstacles for realizing hardware neural networks based on analog resistive synapses because it significantly compromises the online training capability. This paper provides new solutions to this critical issue through co-optimization with the hardware-applicable deep-learning algorithms. New insights on engineering activation functions and a threshold weight update scheme effectively suppress the undesirable training noise induced by inaccurate weight update. We successfully trained a two-layer perceptron network online and i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.05895","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:27:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ze0u5h6DZSG/JbP2IJHYDnkZA643i8W1iCh+oNSb25WsN0L5VlhBLjK55gcWaPw+s+4o/uovih1YXrxRLAXTDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T23:14:59.896432Z"},"content_sha256":"1a73fbb00b0a13788666402eae9e55d60f7fdc6939cc3205217cd5c81d1810a7","schema_version":"1.0","event_id":"sha256:1a73fbb00b0a13788666402eae9e55d60f7fdc6939cc3205217cd5c81d1810a7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H7CADN2NBWDQTVQJI6KOBMFHRF/bundle.json","state_url":"https://pith.science/pith/H7CADN2NBWDQTVQJI6KOBMFHRF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H7CADN2NBWDQTVQJI6KOBMFHRF/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-27T23:14:59Z","links":{"resolver":"https://pith.science/pith/H7CADN2NBWDQTVQJI6KOBMFHRF","bundle":"https://pith.science/pith/H7CADN2NBWDQTVQJI6KOBMFHRF/bundle.json","state":"https://pith.science/pith/H7CADN2NBWDQTVQJI6KOBMFHRF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H7CADN2NBWDQTVQJI6KOBMFHRF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:H7CADN2NBWDQTVQJI6KOBMFHRF","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":"de4a47b862ff61accf0213f337565607b1ebc0cc2851727358dee07d404f38ec","cross_cats_sorted":["cs.ET","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-12-16T02:45:02Z","title_canon_sha256":"60c290a7aab07cca93c9f8732577e15c2974db88e398f6f884b6b2bf51e53e78"},"schema_version":"1.0","source":{"id":"1712.05895","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.05895","created_at":"2026-05-18T00:27:51Z"},{"alias_kind":"arxiv_version","alias_value":"1712.05895v1","created_at":"2026-05-18T00:27:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.05895","created_at":"2026-05-18T00:27:51Z"},{"alias_kind":"pith_short_12","alias_value":"H7CADN2NBWDQ","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"H7CADN2NBWDQTVQJ","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"H7CADN2N","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:1a73fbb00b0a13788666402eae9e55d60f7fdc6939cc3205217cd5c81d1810a7","target":"graph","created_at":"2026-05-18T00:27:51Z","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"},"paper":{"abstract_excerpt":"Asymmetric nonlinear weight update is considered as one of the major obstacles for realizing hardware neural networks based on analog resistive synapses because it significantly compromises the online training capability. This paper provides new solutions to this critical issue through co-optimization with the hardware-applicable deep-learning algorithms. New insights on engineering activation functions and a threshold weight update scheme effectively suppress the undesirable training noise induced by inaccurate weight update. We successfully trained a two-layer perceptron network online and i","authors_text":"Boris Hudec, Che-Chia Chang, Chia-Ming Tsai, Chih-Cheng Chang, I-Ting Wang, Pin-Chun Chen, Teyuh Chou, Tian-Sheuan Chang, Tuo-Hung Hou","cross_cats":["cs.ET","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-12-16T02:45:02Z","title":"Mitigating Asymmetric Nonlinear Weight Update Effects in Hardware Neural Network based on Analog Resistive Synapse"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.05895","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":"sha256:4c1367f32cc9d26d01972b55fe9cdf5d7b99711b5b0a73f7188f64a8fdb015ed","target":"record","created_at":"2026-05-18T00:27:51Z","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":"de4a47b862ff61accf0213f337565607b1ebc0cc2851727358dee07d404f38ec","cross_cats_sorted":["cs.ET","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-12-16T02:45:02Z","title_canon_sha256":"60c290a7aab07cca93c9f8732577e15c2974db88e398f6f884b6b2bf51e53e78"},"schema_version":"1.0","source":{"id":"1712.05895","kind":"arxiv","version":1}},"canonical_sha256":"3fc401b74d0d8709d6094794e0b0a789533f744ed3b933c8aed531fc67357a62","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3fc401b74d0d8709d6094794e0b0a789533f744ed3b933c8aed531fc67357a62","first_computed_at":"2026-05-18T00:27:51.596243Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:27:51.596243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7nbWEAlqv+Wdd5E8jaDZG1jqNudV+fd9fjhXZE9jmnV50hVGwWCjDDssBi4uJcDlXSPdykx3dKsUKazoH7vgBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:27:51.596890Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.05895","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c1367f32cc9d26d01972b55fe9cdf5d7b99711b5b0a73f7188f64a8fdb015ed","sha256:1a73fbb00b0a13788666402eae9e55d60f7fdc6939cc3205217cd5c81d1810a7"],"state_sha256":"512e9438bba81c726d7dcfa91cf8710ed05451b5fedcf78c330fe1801d89e817"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P6KAEs0JzqCGqkDz/OnjeWtMPAceyRXxD0+xBHhc3wlkOEQo1c77fknRxyinxBTcNZy8no64q7blprPhDbuQDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T23:14:59.899621Z","bundle_sha256":"f8356dd056047da496a6a4e8a3df6eea523ef0e7d0d96be09af27e02205fa2e2"}}