{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:XLOC5N3SMQ3GTWZAFNVBF3R62X","short_pith_number":"pith:XLOC5N3S","canonical_record":{"source":{"id":"1703.04145","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2017-03-12T17:29:11Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"047145fbe3e6ad4840068f1ff0f3885ef7c9bb8e81e4c566d3b7921929c063bc","abstract_canon_sha256":"f38a9239a22f227b6e1ff4cf1d39a952956e963b72e505115f17d7c6d7cf54a6"},"schema_version":"1.0"},"canonical_sha256":"badc2eb772643669db202b6a12ee3ed5f1f8005ff483f84ec0a9dcca76f71ac3","source":{"kind":"arxiv","id":"1703.04145","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.04145","created_at":"2026-05-18T00:40:30Z"},{"alias_kind":"arxiv_version","alias_value":"1703.04145v1","created_at":"2026-05-18T00:40:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.04145","created_at":"2026-05-18T00:40:30Z"},{"alias_kind":"pith_short_12","alias_value":"XLOC5N3SMQ3G","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XLOC5N3SMQ3GTWZA","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XLOC5N3S","created_at":"2026-05-18T12:31:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:XLOC5N3SMQ3GTWZAFNVBF3R62X","target":"record","payload":{"canonical_record":{"source":{"id":"1703.04145","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2017-03-12T17:29:11Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"047145fbe3e6ad4840068f1ff0f3885ef7c9bb8e81e4c566d3b7921929c063bc","abstract_canon_sha256":"f38a9239a22f227b6e1ff4cf1d39a952956e963b72e505115f17d7c6d7cf54a6"},"schema_version":"1.0"},"canonical_sha256":"badc2eb772643669db202b6a12ee3ed5f1f8005ff483f84ec0a9dcca76f71ac3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:40:30.486090Z","signature_b64":"Yx3oJ8nk1/Df+JsjKmbcb7DP0kAzBTSjJOXSoBFjxv1SuEVPFKQBcmXoFcOJEIz+oqNWLhzpCIxvu58S7AhVDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"badc2eb772643669db202b6a12ee3ed5f1f8005ff483f84ec0a9dcca76f71ac3","last_reissued_at":"2026-05-18T00:40:30.485476Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:40:30.485476Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.04145","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":"2026-05-18T00:40:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BXKHA8iecDFneZRAh30zBHLznT7MqFqGPvZ6toeTLZDjq4FQoTDRH5qq7pSEUd7FIMx1CbOVYGoxsTZm8pZjCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T22:31:40.012488Z"},"content_sha256":"a35ea06ae6e17ea8f176e25deefaa5afcdd8a92d00f076276b7af71abd2df109","schema_version":"1.0","event_id":"sha256:a35ea06ae6e17ea8f176e25deefaa5afcdd8a92d00f076276b7af71abd2df109"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:XLOC5N3SMQ3GTWZAFNVBF3R62X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE","stat.ML"],"primary_cat":"q-bio.NC","authors_text":"Andreas Gr\\\"ubl, Anna Schroeder, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici, Oliver Breitwieser","submitted_at":"2017-03-12T17:29:11Z","abstract_excerpt":"How spiking networks are able to perform probabilistic inference is an intriguing question, not only for understanding information processing in the brain, but also for transferring these computational principles to neuromorphic silicon circuits. A number of computationally powerful spiking network models have been proposed, but most of them have only been tested, under ideal conditions, in software simulations. Any implementation in an analog, physical system, be it in vivo or in silico, will generally lead to distorted dynamics due to the physical properties of the underlying substrate. In t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.04145","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":"2026-05-18T00:40:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dm6oEnNEBIYEzy0A+/ZSt4rdf6LoSXaX/mbLLH21SMSIJaV5TUutZvIhC/L8lU6TpHis93ebQ+C85qsmpxgSDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T22:31:40.013611Z"},"content_sha256":"0fd146b16e67d12aedacb543d105904ee040414a672c6fc890ac4ec9e0b5e419","schema_version":"1.0","event_id":"sha256:0fd146b16e67d12aedacb543d105904ee040414a672c6fc890ac4ec9e0b5e419"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XLOC5N3SMQ3GTWZAFNVBF3R62X/bundle.json","state_url":"https://pith.science/pith/XLOC5N3SMQ3GTWZAFNVBF3R62X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XLOC5N3SMQ3GTWZAFNVBF3R62X/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":"2026-05-22T22:31:40Z","links":{"resolver":"https://pith.science/pith/XLOC5N3SMQ3GTWZAFNVBF3R62X","bundle":"https://pith.science/pith/XLOC5N3SMQ3GTWZAFNVBF3R62X/bundle.json","state":"https://pith.science/pith/XLOC5N3SMQ3GTWZAFNVBF3R62X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XLOC5N3SMQ3GTWZAFNVBF3R62X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:XLOC5N3SMQ3GTWZAFNVBF3R62X","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":"f38a9239a22f227b6e1ff4cf1d39a952956e963b72e505115f17d7c6d7cf54a6","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2017-03-12T17:29:11Z","title_canon_sha256":"047145fbe3e6ad4840068f1ff0f3885ef7c9bb8e81e4c566d3b7921929c063bc"},"schema_version":"1.0","source":{"id":"1703.04145","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.04145","created_at":"2026-05-18T00:40:30Z"},{"alias_kind":"arxiv_version","alias_value":"1703.04145v1","created_at":"2026-05-18T00:40:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.04145","created_at":"2026-05-18T00:40:30Z"},{"alias_kind":"pith_short_12","alias_value":"XLOC5N3SMQ3G","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XLOC5N3SMQ3GTWZA","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XLOC5N3S","created_at":"2026-05-18T12:31:56Z"}],"graph_snapshots":[{"event_id":"sha256:0fd146b16e67d12aedacb543d105904ee040414a672c6fc890ac4ec9e0b5e419","target":"graph","created_at":"2026-05-18T00:40:30Z","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":"How spiking networks are able to perform probabilistic inference is an intriguing question, not only for understanding information processing in the brain, but also for transferring these computational principles to neuromorphic silicon circuits. A number of computationally powerful spiking network models have been proposed, but most of them have only been tested, under ideal conditions, in software simulations. Any implementation in an analog, physical system, be it in vivo or in silico, will generally lead to distorted dynamics due to the physical properties of the underlying substrate. In t","authors_text":"Andreas Gr\\\"ubl, Anna Schroeder, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici, Oliver Breitwieser","cross_cats":["cs.NE","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2017-03-12T17:29:11Z","title":"Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.04145","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:a35ea06ae6e17ea8f176e25deefaa5afcdd8a92d00f076276b7af71abd2df109","target":"record","created_at":"2026-05-18T00:40:30Z","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":"f38a9239a22f227b6e1ff4cf1d39a952956e963b72e505115f17d7c6d7cf54a6","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2017-03-12T17:29:11Z","title_canon_sha256":"047145fbe3e6ad4840068f1ff0f3885ef7c9bb8e81e4c566d3b7921929c063bc"},"schema_version":"1.0","source":{"id":"1703.04145","kind":"arxiv","version":1}},"canonical_sha256":"badc2eb772643669db202b6a12ee3ed5f1f8005ff483f84ec0a9dcca76f71ac3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"badc2eb772643669db202b6a12ee3ed5f1f8005ff483f84ec0a9dcca76f71ac3","first_computed_at":"2026-05-18T00:40:30.485476Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:40:30.485476Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Yx3oJ8nk1/Df+JsjKmbcb7DP0kAzBTSjJOXSoBFjxv1SuEVPFKQBcmXoFcOJEIz+oqNWLhzpCIxvu58S7AhVDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:40:30.486090Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.04145","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a35ea06ae6e17ea8f176e25deefaa5afcdd8a92d00f076276b7af71abd2df109","sha256:0fd146b16e67d12aedacb543d105904ee040414a672c6fc890ac4ec9e0b5e419"],"state_sha256":"6b962fa5296e09d2b4aad95a0ac5a6225153a7989f176dcbb64c3fb17f2bafdb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DpJv2SkRsQC/auc/MPLt+UtZSM0w4kKN72Y0a6n54CuSVSmvhtTA+0uzWwul0VYDU++sI6NWy9w1Bvt2HWB3CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-22T22:31:40.016544Z","bundle_sha256":"ab09b6a43c0a10d9c38244b3e9d4e26d5844ffe24910c5ee05bb706f41b79767"}}