{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:OSZVSIQOU34GG55OGHV3FKIKFG","short_pith_number":"pith:OSZVSIQO","canonical_record":{"source":{"id":"1903.06493","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-03-15T12:39:35Z","cross_cats_sorted":[],"title_canon_sha256":"3e16cc816fa307e252a06aaf9b9c2873e969eff02cb739cff3148c4887d4a484","abstract_canon_sha256":"a916f11064cb64c8255a86110303bc421e48c3d59a177c73b6338f666cb27aa8"},"schema_version":"1.0"},"canonical_sha256":"74b359220ea6f86377ae31ebb2a90a29a5d460b20df2a873e0b743e568168e94","source":{"kind":"arxiv","id":"1903.06493","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.06493","created_at":"2026-05-17T23:43:49Z"},{"alias_kind":"arxiv_version","alias_value":"1903.06493v2","created_at":"2026-05-17T23:43:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.06493","created_at":"2026-05-17T23:43:49Z"},{"alias_kind":"pith_short_12","alias_value":"OSZVSIQOU34G","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"OSZVSIQOU34GG55O","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"OSZVSIQO","created_at":"2026-05-18T12:33:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:OSZVSIQOU34GG55OGHV3FKIKFG","target":"record","payload":{"canonical_record":{"source":{"id":"1903.06493","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-03-15T12:39:35Z","cross_cats_sorted":[],"title_canon_sha256":"3e16cc816fa307e252a06aaf9b9c2873e969eff02cb739cff3148c4887d4a484","abstract_canon_sha256":"a916f11064cb64c8255a86110303bc421e48c3d59a177c73b6338f666cb27aa8"},"schema_version":"1.0"},"canonical_sha256":"74b359220ea6f86377ae31ebb2a90a29a5d460b20df2a873e0b743e568168e94","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:49.739297Z","signature_b64":"EZauCZqczy09Qq6I6aL+2pfeW5fGaQ/uDtVRPEDg90y0ljRYTShubfjF9M4KMd2u8+655JtDLV12QxBnPV4pCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"74b359220ea6f86377ae31ebb2a90a29a5d460b20df2a873e0b743e568168e94","last_reissued_at":"2026-05-17T23:43:49.738542Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:49.738542Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.06493","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":"2026-05-17T23:43:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2nzmOc1pb332JfepqlXcepzXVWh0HBvs5qIdEO0qWdSkZL48/L1a6Fuz7Vthn7HkZUzSFK8LxG4HeIGcN7KgDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T07:52:12.761561Z"},"content_sha256":"e7992385299439f380b4d82062f76e4867bca22e77f55a3e8c5abfe1e6eeecdf","schema_version":"1.0","event_id":"sha256:e7992385299439f380b4d82062f76e4867bca22e77f55a3e8c5abfe1e6eeecdf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:OSZVSIQOU34GG55OGHV3FKIKFG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neuromorphic Hardware learns to learn","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Christian Pehle, Franz Scherr, Karlheinz Meier, Thomas Bohnstingl, Wolfgang Maass","submitted_at":"2019-03-15T12:39:35Z","abstract_excerpt":"Hyperparameters and learning algorithms for neuromorphic hardware are usually chosen by hand. In contrast, the hyperparameters and learning algorithms of networks of neurons in the brain, which they aim to emulate, have been optimized through extensive evolutionary and developmental processes for specific ranges of computing and learning tasks. Occasionally this process has been emulated through genetic algorithms, but these require themselves hand-design of their details and tend to provide a limited range of improvements. We employ instead other powerful gradient-free optimization tools, suc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.06493","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":"2026-05-17T23:43:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/kV+3RcdnF/pQFC/8uZiMv6kd4cTjzB+oqMqDANdBa8oWYXvYlE8NhvGXL5dkAduQMh6z6usks9HmRDFxGT9Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T07:52:12.762260Z"},"content_sha256":"f4c7e3807c6fceae37a0e1a9c6cf626170c1bdae16385b2f35e551f44eb3b362","schema_version":"1.0","event_id":"sha256:f4c7e3807c6fceae37a0e1a9c6cf626170c1bdae16385b2f35e551f44eb3b362"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OSZVSIQOU34GG55OGHV3FKIKFG/bundle.json","state_url":"https://pith.science/pith/OSZVSIQOU34GG55OGHV3FKIKFG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OSZVSIQOU34GG55OGHV3FKIKFG/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":"2026-05-27T07:52:12Z","links":{"resolver":"https://pith.science/pith/OSZVSIQOU34GG55OGHV3FKIKFG","bundle":"https://pith.science/pith/OSZVSIQOU34GG55OGHV3FKIKFG/bundle.json","state":"https://pith.science/pith/OSZVSIQOU34GG55OGHV3FKIKFG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OSZVSIQOU34GG55OGHV3FKIKFG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:OSZVSIQOU34GG55OGHV3FKIKFG","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":"a916f11064cb64c8255a86110303bc421e48c3d59a177c73b6338f666cb27aa8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-03-15T12:39:35Z","title_canon_sha256":"3e16cc816fa307e252a06aaf9b9c2873e969eff02cb739cff3148c4887d4a484"},"schema_version":"1.0","source":{"id":"1903.06493","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.06493","created_at":"2026-05-17T23:43:49Z"},{"alias_kind":"arxiv_version","alias_value":"1903.06493v2","created_at":"2026-05-17T23:43:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.06493","created_at":"2026-05-17T23:43:49Z"},{"alias_kind":"pith_short_12","alias_value":"OSZVSIQOU34G","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"OSZVSIQOU34GG55O","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"OSZVSIQO","created_at":"2026-05-18T12:33:24Z"}],"graph_snapshots":[{"event_id":"sha256:f4c7e3807c6fceae37a0e1a9c6cf626170c1bdae16385b2f35e551f44eb3b362","target":"graph","created_at":"2026-05-17T23:43:49Z","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":"Hyperparameters and learning algorithms for neuromorphic hardware are usually chosen by hand. In contrast, the hyperparameters and learning algorithms of networks of neurons in the brain, which they aim to emulate, have been optimized through extensive evolutionary and developmental processes for specific ranges of computing and learning tasks. Occasionally this process has been emulated through genetic algorithms, but these require themselves hand-design of their details and tend to provide a limited range of improvements. We employ instead other powerful gradient-free optimization tools, suc","authors_text":"Christian Pehle, Franz Scherr, Karlheinz Meier, Thomas Bohnstingl, Wolfgang Maass","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-03-15T12:39:35Z","title":"Neuromorphic Hardware learns to learn"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.06493","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:e7992385299439f380b4d82062f76e4867bca22e77f55a3e8c5abfe1e6eeecdf","target":"record","created_at":"2026-05-17T23:43:49Z","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":"a916f11064cb64c8255a86110303bc421e48c3d59a177c73b6338f666cb27aa8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-03-15T12:39:35Z","title_canon_sha256":"3e16cc816fa307e252a06aaf9b9c2873e969eff02cb739cff3148c4887d4a484"},"schema_version":"1.0","source":{"id":"1903.06493","kind":"arxiv","version":2}},"canonical_sha256":"74b359220ea6f86377ae31ebb2a90a29a5d460b20df2a873e0b743e568168e94","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"74b359220ea6f86377ae31ebb2a90a29a5d460b20df2a873e0b743e568168e94","first_computed_at":"2026-05-17T23:43:49.738542Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:49.738542Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EZauCZqczy09Qq6I6aL+2pfeW5fGaQ/uDtVRPEDg90y0ljRYTShubfjF9M4KMd2u8+655JtDLV12QxBnPV4pCg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:49.739297Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.06493","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e7992385299439f380b4d82062f76e4867bca22e77f55a3e8c5abfe1e6eeecdf","sha256:f4c7e3807c6fceae37a0e1a9c6cf626170c1bdae16385b2f35e551f44eb3b362"],"state_sha256":"851a081fb71d61ecc451d7ae2a80ccc92e15cde2101b0641a125de17e5df5c88"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bg84dnfAgBF4pKwky6NthxmgiCPzzNPGJWDjGlLQ65vy05Pbrn6lPgBp0WyMVLdarwnu8HOairZ0f3TLpp/uBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T07:52:12.766062Z","bundle_sha256":"1bdd77a69a4f4c078ce6c62bc499554b46b941975b913150823e78e18c351a13"}}