{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:ZQZU7E7A5QDQFI26VTZKBMLUDH","short_pith_number":"pith:ZQZU7E7A","canonical_record":{"source":{"id":"1511.04484","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2015-11-14T00:27:37Z","cross_cats_sorted":[],"title_canon_sha256":"a9f02a52bf662bed1c3c27fc79c14bb214933f2ec4dd32397a2f7df44b78a5ef","abstract_canon_sha256":"a2d97f86b9b9483ac033306a49f301e9d0fd5a3740c25ce14425cb34021e987f"},"schema_version":"1.0"},"canonical_sha256":"cc334f93e0ec0702a35eacf2a0b17419c3b2b22da9acfd99ae3106a301b37d17","source":{"kind":"arxiv","id":"1511.04484","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.04484","created_at":"2026-05-18T00:54:58Z"},{"alias_kind":"arxiv_version","alias_value":"1511.04484v2","created_at":"2026-05-18T00:54:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.04484","created_at":"2026-05-18T00:54:58Z"},{"alias_kind":"pith_short_12","alias_value":"ZQZU7E7A5QDQ","created_at":"2026-05-18T12:29:52Z"},{"alias_kind":"pith_short_16","alias_value":"ZQZU7E7A5QDQFI26","created_at":"2026-05-18T12:29:52Z"},{"alias_kind":"pith_short_8","alias_value":"ZQZU7E7A","created_at":"2026-05-18T12:29:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:ZQZU7E7A5QDQFI26VTZKBMLUDH","target":"record","payload":{"canonical_record":{"source":{"id":"1511.04484","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2015-11-14T00:27:37Z","cross_cats_sorted":[],"title_canon_sha256":"a9f02a52bf662bed1c3c27fc79c14bb214933f2ec4dd32397a2f7df44b78a5ef","abstract_canon_sha256":"a2d97f86b9b9483ac033306a49f301e9d0fd5a3740c25ce14425cb34021e987f"},"schema_version":"1.0"},"canonical_sha256":"cc334f93e0ec0702a35eacf2a0b17419c3b2b22da9acfd99ae3106a301b37d17","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:54:58.209275Z","signature_b64":"GoYvz0xYI+CtnMOk0Xf1XeA3KeTd2h8OoygkS3/0XsKNNKUXReRz+26tZ52HcA5NXAbwIzeyRWCKKSci7wg+BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cc334f93e0ec0702a35eacf2a0b17419c3b2b22da9acfd99ae3106a301b37d17","last_reissued_at":"2026-05-18T00:54:58.208722Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:54:58.208722Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1511.04484","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:54:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"REBe0nczFvBAhxXYqB3ubcrNRKQtQdpwVgQoI7Obey4n+AqcZl12qPSWBh+HdElOtePElbkP8aK6LUp3jNpDDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T04:22:13.690773Z"},"content_sha256":"d2876268bd5257352ffe71fa53468958c796bf014875dc7d1863f527d4d42f0b","schema_version":"1.0","event_id":"sha256:d2876268bd5257352ffe71fa53468958c796bf014875dc7d1863f527d4d42f0b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:ZQZU7E7A5QDQFI26VTZKBMLUDH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Bruno U. Pedroni, Emre O. Neftci, Gert Cauwenberghs, Maruan Al-Shedivat, Siddharth Joshi","submitted_at":"2015-11-14T00:27:37Z","abstract_excerpt":"Recent studies have shown that synaptic unreliability is a robust and sufficient mechanism for inducing the stochasticity observed in cortex. Here, we introduce Synaptic Sampling Machines, a class of neural network models that uses synaptic stochasticity as a means to Monte Carlo sampling and unsupervised learning. Similar to the original formulation of Boltzmann machines, these models can be viewed as a stochastic counterpart of Hopfield networks, but where stochasticity is induced by a random mask over the connections. Synaptic stochasticity plays the dual role of an efficient mechanism for "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.04484","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:54:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IFn3QV4PhAYH5VfDgZNWwUG1VudMD2LIvS2cAWvy2oF5f2+ZR/eUJ3cyAiO+PnWm2lj66RdojN+XOMyaBDyUBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T04:22:13.691128Z"},"content_sha256":"35e99d282bcf530bdabed7f8fb007acfb26296ba45d664676c0f53031a2ddf1e","schema_version":"1.0","event_id":"sha256:35e99d282bcf530bdabed7f8fb007acfb26296ba45d664676c0f53031a2ddf1e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZQZU7E7A5QDQFI26VTZKBMLUDH/bundle.json","state_url":"https://pith.science/pith/ZQZU7E7A5QDQFI26VTZKBMLUDH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZQZU7E7A5QDQFI26VTZKBMLUDH/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":"2026-06-04T04:22:13Z","links":{"resolver":"https://pith.science/pith/ZQZU7E7A5QDQFI26VTZKBMLUDH","bundle":"https://pith.science/pith/ZQZU7E7A5QDQFI26VTZKBMLUDH/bundle.json","state":"https://pith.science/pith/ZQZU7E7A5QDQFI26VTZKBMLUDH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZQZU7E7A5QDQFI26VTZKBMLUDH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:ZQZU7E7A5QDQFI26VTZKBMLUDH","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":"a2d97f86b9b9483ac033306a49f301e9d0fd5a3740c25ce14425cb34021e987f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2015-11-14T00:27:37Z","title_canon_sha256":"a9f02a52bf662bed1c3c27fc79c14bb214933f2ec4dd32397a2f7df44b78a5ef"},"schema_version":"1.0","source":{"id":"1511.04484","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.04484","created_at":"2026-05-18T00:54:58Z"},{"alias_kind":"arxiv_version","alias_value":"1511.04484v2","created_at":"2026-05-18T00:54:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.04484","created_at":"2026-05-18T00:54:58Z"},{"alias_kind":"pith_short_12","alias_value":"ZQZU7E7A5QDQ","created_at":"2026-05-18T12:29:52Z"},{"alias_kind":"pith_short_16","alias_value":"ZQZU7E7A5QDQFI26","created_at":"2026-05-18T12:29:52Z"},{"alias_kind":"pith_short_8","alias_value":"ZQZU7E7A","created_at":"2026-05-18T12:29:52Z"}],"graph_snapshots":[{"event_id":"sha256:35e99d282bcf530bdabed7f8fb007acfb26296ba45d664676c0f53031a2ddf1e","target":"graph","created_at":"2026-05-18T00:54:58Z","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":"Recent studies have shown that synaptic unreliability is a robust and sufficient mechanism for inducing the stochasticity observed in cortex. Here, we introduce Synaptic Sampling Machines, a class of neural network models that uses synaptic stochasticity as a means to Monte Carlo sampling and unsupervised learning. Similar to the original formulation of Boltzmann machines, these models can be viewed as a stochastic counterpart of Hopfield networks, but where stochasticity is induced by a random mask over the connections. Synaptic stochasticity plays the dual role of an efficient mechanism for ","authors_text":"Bruno U. Pedroni, Emre O. Neftci, Gert Cauwenberghs, Maruan Al-Shedivat, Siddharth Joshi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2015-11-14T00:27:37Z","title":"Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.04484","kind":"arxiv","version":2},"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:d2876268bd5257352ffe71fa53468958c796bf014875dc7d1863f527d4d42f0b","target":"record","created_at":"2026-05-18T00:54:58Z","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":"a2d97f86b9b9483ac033306a49f301e9d0fd5a3740c25ce14425cb34021e987f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2015-11-14T00:27:37Z","title_canon_sha256":"a9f02a52bf662bed1c3c27fc79c14bb214933f2ec4dd32397a2f7df44b78a5ef"},"schema_version":"1.0","source":{"id":"1511.04484","kind":"arxiv","version":2}},"canonical_sha256":"cc334f93e0ec0702a35eacf2a0b17419c3b2b22da9acfd99ae3106a301b37d17","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cc334f93e0ec0702a35eacf2a0b17419c3b2b22da9acfd99ae3106a301b37d17","first_computed_at":"2026-05-18T00:54:58.208722Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:54:58.208722Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GoYvz0xYI+CtnMOk0Xf1XeA3KeTd2h8OoygkS3/0XsKNNKUXReRz+26tZ52HcA5NXAbwIzeyRWCKKSci7wg+BQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:54:58.209275Z","signed_message":"canonical_sha256_bytes"},"source_id":"1511.04484","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d2876268bd5257352ffe71fa53468958c796bf014875dc7d1863f527d4d42f0b","sha256:35e99d282bcf530bdabed7f8fb007acfb26296ba45d664676c0f53031a2ddf1e"],"state_sha256":"88303a2b82538db8e7178af05e47cb681c7a4e1e2f8f88bc71958fde1903f842"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O/1i7mDQB9map6XcrJqVpMDRhG/g0Hm6NV/B68Iqb101Qo+s8NYb7jibgoeEHoxGSWHWMMtGfu3FGRauCGVnDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T04:22:13.693139Z","bundle_sha256":"afce685ca610f06d127b059da386d4856da2b1303f9d18a2edd7daba3b85f355"}}