{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:CNYCDFVKCTWJQTN76TT3N2YJKI","short_pith_number":"pith:CNYCDFVK","canonical_record":{"source":{"id":"1703.01909","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2017-03-06T14:55:59Z","cross_cats_sorted":[],"title_canon_sha256":"fbbbec8e105a757f0bdd4d2d445b1c149f3146f02df33ed5a13b1ff3ab59a322","abstract_canon_sha256":"6084bc6276fcdd2e5cbf17238418babbf84bce1483fb8a755c6317fb11601297"},"schema_version":"1.0"},"canonical_sha256":"13702196aa14ec984dbff4e7b6eb09520f727945952222271bed6f74dc6c88f1","source":{"kind":"arxiv","id":"1703.01909","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.01909","created_at":"2026-05-18T00:38:41Z"},{"alias_kind":"arxiv_version","alias_value":"1703.01909v1","created_at":"2026-05-18T00:38:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.01909","created_at":"2026-05-18T00:38:41Z"},{"alias_kind":"pith_short_12","alias_value":"CNYCDFVKCTWJ","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"CNYCDFVKCTWJQTN7","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"CNYCDFVK","created_at":"2026-05-18T12:31:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:CNYCDFVKCTWJQTN76TT3N2YJKI","target":"record","payload":{"canonical_record":{"source":{"id":"1703.01909","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2017-03-06T14:55:59Z","cross_cats_sorted":[],"title_canon_sha256":"fbbbec8e105a757f0bdd4d2d445b1c149f3146f02df33ed5a13b1ff3ab59a322","abstract_canon_sha256":"6084bc6276fcdd2e5cbf17238418babbf84bce1483fb8a755c6317fb11601297"},"schema_version":"1.0"},"canonical_sha256":"13702196aa14ec984dbff4e7b6eb09520f727945952222271bed6f74dc6c88f1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:38:41.734470Z","signature_b64":"lUviP0OU7LJ/ACLQofLoVlLeTusjqqr9yE/miKB/bGrTiXUGssNwH/169DB6cLx0fj5DVre/9pGrHEosaDPnCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"13702196aa14ec984dbff4e7b6eb09520f727945952222271bed6f74dc6c88f1","last_reissued_at":"2026-05-18T00:38:41.733959Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:38:41.733959Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.01909","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":"2026-05-18T00:38:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Zn4rzT7ZlW2OPHkeLdEvTAIBQBKZ/jF8Rtq/OPqYWOGYc2E+aq4uVRgiq1e8f56qaubZOXyXiXZc6vW+fGjtCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T02:01:35.231707Z"},"content_sha256":"455b09e537de8bf7e8de3dc997f8e4e4a98aff2dc1b300ab9802de3c628e4548","schema_version":"1.0","event_id":"sha256:455b09e537de8bf7e8de3dc997f8e4e4a98aff2dc1b300ab9802de3c628e4548"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:CNYCDFVKCTWJQTN76TT3N2YJKI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Andreas Gruebl, Andreas Hartel, Bernhard Vogginger, Christian Mauch, Christian Mayr, Christoph Koke, Dan Husmann, Eric Mueller, Guillaume Bellec, Johannes Partzsch, Johannes Schemmel, Johann Klaehn, Kai Husmann, Karlheinz Meier, Maurice Guettler, Mihai A. Petrovici, Mitja Kleider, Paul Mueller, Robert Legenstein, Sebastian Schmitt, Stefan Schiefer, Stefan Scholze, Stephan Hartmann, Vitali Karasenko, Wolfgang Maass","submitted_at":"2017-03-06T14:55:59Z","abstract_excerpt":"Emulating spiking neural networks on analog neuromorphic hardware offers several advantages over simulating them on conventional computers, particularly in terms of speed and energy consumption. However, this usually comes at the cost of reduced control over the dynamics of the emulated networks. In this paper, we demonstrate how iterative training of a hardware-emulated network can compensate for anomalies induced by the analog substrate. We first convert a deep neural network trained in software to a spiking network on the BrainScaleS wafer-scale neuromorphic system, thereby enabling an acce"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.01909","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":"2026-05-18T00:38:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q0Fru+n2OAPL+4iSssjiathVqJoU0nIWKhqjjrJftCzpTR6g3FtODls4G4durD6BZcp5Le4h49CEeS/YlihzDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T02:01:35.232071Z"},"content_sha256":"44535b40b4f03bde7a23505bc1fb7ba7de1800b5ffc287fc55d5a841c428ba7b","schema_version":"1.0","event_id":"sha256:44535b40b4f03bde7a23505bc1fb7ba7de1800b5ffc287fc55d5a841c428ba7b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CNYCDFVKCTWJQTN76TT3N2YJKI/bundle.json","state_url":"https://pith.science/pith/CNYCDFVKCTWJQTN76TT3N2YJKI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CNYCDFVKCTWJQTN76TT3N2YJKI/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":"2026-05-23T02:01:35Z","links":{"resolver":"https://pith.science/pith/CNYCDFVKCTWJQTN76TT3N2YJKI","bundle":"https://pith.science/pith/CNYCDFVKCTWJQTN76TT3N2YJKI/bundle.json","state":"https://pith.science/pith/CNYCDFVKCTWJQTN76TT3N2YJKI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CNYCDFVKCTWJQTN76TT3N2YJKI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:CNYCDFVKCTWJQTN76TT3N2YJKI","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":"6084bc6276fcdd2e5cbf17238418babbf84bce1483fb8a755c6317fb11601297","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2017-03-06T14:55:59Z","title_canon_sha256":"fbbbec8e105a757f0bdd4d2d445b1c149f3146f02df33ed5a13b1ff3ab59a322"},"schema_version":"1.0","source":{"id":"1703.01909","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.01909","created_at":"2026-05-18T00:38:41Z"},{"alias_kind":"arxiv_version","alias_value":"1703.01909v1","created_at":"2026-05-18T00:38:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.01909","created_at":"2026-05-18T00:38:41Z"},{"alias_kind":"pith_short_12","alias_value":"CNYCDFVKCTWJ","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"CNYCDFVKCTWJQTN7","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"CNYCDFVK","created_at":"2026-05-18T12:31:10Z"}],"graph_snapshots":[{"event_id":"sha256:44535b40b4f03bde7a23505bc1fb7ba7de1800b5ffc287fc55d5a841c428ba7b","target":"graph","created_at":"2026-05-18T00:38:41Z","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":"Emulating spiking neural networks on analog neuromorphic hardware offers several advantages over simulating them on conventional computers, particularly in terms of speed and energy consumption. However, this usually comes at the cost of reduced control over the dynamics of the emulated networks. In this paper, we demonstrate how iterative training of a hardware-emulated network can compensate for anomalies induced by the analog substrate. We first convert a deep neural network trained in software to a spiking network on the BrainScaleS wafer-scale neuromorphic system, thereby enabling an acce","authors_text":"Andreas Gruebl, Andreas Hartel, Bernhard Vogginger, Christian Mauch, Christian Mayr, Christoph Koke, Dan Husmann, Eric Mueller, Guillaume Bellec, Johannes Partzsch, Johannes Schemmel, Johann Klaehn, Kai Husmann, Karlheinz Meier, Maurice Guettler, Mihai A. Petrovici, Mitja Kleider, Paul Mueller, Robert Legenstein, Sebastian Schmitt, Stefan Schiefer, Stefan Scholze, Stephan Hartmann, Vitali Karasenko, Wolfgang Maass","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2017-03-06T14:55:59Z","title":"Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.01909","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":"sha256:455b09e537de8bf7e8de3dc997f8e4e4a98aff2dc1b300ab9802de3c628e4548","target":"record","created_at":"2026-05-18T00:38:41Z","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":"6084bc6276fcdd2e5cbf17238418babbf84bce1483fb8a755c6317fb11601297","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2017-03-06T14:55:59Z","title_canon_sha256":"fbbbec8e105a757f0bdd4d2d445b1c149f3146f02df33ed5a13b1ff3ab59a322"},"schema_version":"1.0","source":{"id":"1703.01909","kind":"arxiv","version":1}},"canonical_sha256":"13702196aa14ec984dbff4e7b6eb09520f727945952222271bed6f74dc6c88f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"13702196aa14ec984dbff4e7b6eb09520f727945952222271bed6f74dc6c88f1","first_computed_at":"2026-05-18T00:38:41.733959Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:38:41.733959Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lUviP0OU7LJ/ACLQofLoVlLeTusjqqr9yE/miKB/bGrTiXUGssNwH/169DB6cLx0fj5DVre/9pGrHEosaDPnCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:38:41.734470Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.01909","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:455b09e537de8bf7e8de3dc997f8e4e4a98aff2dc1b300ab9802de3c628e4548","sha256:44535b40b4f03bde7a23505bc1fb7ba7de1800b5ffc287fc55d5a841c428ba7b"],"state_sha256":"d2a5a10e2ebadec04766c63980ca7711f94159a122498e3fbb18df7afcb522e6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cX4okBYJs2g7+bN89LOoiuX3axEVJtIPJXBmW11LUr4G9Qsg6gzOvH4S0xSzhdiKfx4xJCZsOMLc0kEun/lNAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-23T02:01:35.234961Z","bundle_sha256":"15b7d8fc9d87c4ace3b4630cd1cd3af9793f5ee5a15160cfffb96cf9ecc8dde8"}}