{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:244SLBHXVZZS6RD3N3HGFYMAYV","short_pith_number":"pith:244SLBHX","canonical_record":{"source":{"id":"1712.01472","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2017-12-05T04:09:11Z","cross_cats_sorted":[],"title_canon_sha256":"18ff0e8a75a0de3a845426d4f313e53d3826b3cc1a94b02256f900c163b6cf5d","abstract_canon_sha256":"e68182cc99ed4bf0fe501c75d28cba9a486aed322f025fca054166cfb46cf484"},"schema_version":"1.0"},"canonical_sha256":"d7392584f7ae732f447b6ece62e180c56030dba7a58bae6746e9ea1375dad4c0","source":{"kind":"arxiv","id":"1712.01472","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.01472","created_at":"2026-05-18T00:18:31Z"},{"alias_kind":"arxiv_version","alias_value":"1712.01472v3","created_at":"2026-05-18T00:18:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.01472","created_at":"2026-05-18T00:18:31Z"},{"alias_kind":"pith_short_12","alias_value":"244SLBHXVZZS","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_16","alias_value":"244SLBHXVZZS6RD3","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_8","alias_value":"244SLBHX","created_at":"2026-05-18T12:30:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:244SLBHXVZZS6RD3N3HGFYMAYV","target":"record","payload":{"canonical_record":{"source":{"id":"1712.01472","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2017-12-05T04:09:11Z","cross_cats_sorted":[],"title_canon_sha256":"18ff0e8a75a0de3a845426d4f313e53d3826b3cc1a94b02256f900c163b6cf5d","abstract_canon_sha256":"e68182cc99ed4bf0fe501c75d28cba9a486aed322f025fca054166cfb46cf484"},"schema_version":"1.0"},"canonical_sha256":"d7392584f7ae732f447b6ece62e180c56030dba7a58bae6746e9ea1375dad4c0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:18:31.221917Z","signature_b64":"Oke1DsaaeeaFyEtnj//9RnxXP6T2I8393tIxpnHhTDYdWsRLtYaTPMo4aye5HgzHuxhqZgL1Q/s+JSglvUGTCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d7392584f7ae732f447b6ece62e180c56030dba7a58bae6746e9ea1375dad4c0","last_reissued_at":"2026-05-18T00:18:31.221501Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:18:31.221501Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1712.01472","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:18:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jf2yq47s4rzUYXoq5wIqHjZa9vrtFEz3TupUAUoRkUCpZRqM0mDkCJ4bJAPBJj1LBdPn6lVlkb/TC4tgHnH/CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T04:47:09.169113Z"},"content_sha256":"8b6377f5df2660c81145c9f2d12fd89fae599293ed78f392753d38252991e368","schema_version":"1.0","event_id":"sha256:8b6377f5df2660c81145c9f2d12fd89fae599293ed78f392753d38252991e368"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:244SLBHXVZZS6RD3N3HGFYMAYV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An All-Memristor Deep Spiking Neural Computing System: A Step Towards Realizing the Low Power,Stochastic Brain","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.ET","authors_text":"Aayush Ankit, Abhronil Sengupta, Kaushik Roy, Parami Wijesinghe","submitted_at":"2017-12-05T04:09:11Z","abstract_excerpt":"Deep 'Analog Artificial Neural Networks' (ANNs) perform complex classification problems with remarkably high accuracy. However, they rely on humongous amount of power to perform the calculations, veiling the accuracy benefits. The biological brain on the other hand is significantly more powerful than such networks and consumes orders of magnitude less power, indicating us about some conceptual mismatch. Given that the biological neurons communicate using energy efficient trains of spikes, and the behavior is non-deterministic, incorporating these effects in Deep Artificial Neural Networks may "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.01472","kind":"arxiv","version":3},"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":"2026-05-18T00:18:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XxSXUpTvgO8GnaainRvkQKnRngnwIPc0JSEa5yIdG5KqxXY9NGNPf6mW6YNIf8KgMCoYL2KkPIOmHxtSaazRBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T04:47:09.169797Z"},"content_sha256":"1d8c424066d86fd2fe886255daf408f7885e4482bc300cf42a4901668e469409","schema_version":"1.0","event_id":"sha256:1d8c424066d86fd2fe886255daf408f7885e4482bc300cf42a4901668e469409"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/244SLBHXVZZS6RD3N3HGFYMAYV/bundle.json","state_url":"https://pith.science/pith/244SLBHXVZZS6RD3N3HGFYMAYV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/244SLBHXVZZS6RD3N3HGFYMAYV/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":"2026-05-31T04:47:09Z","links":{"resolver":"https://pith.science/pith/244SLBHXVZZS6RD3N3HGFYMAYV","bundle":"https://pith.science/pith/244SLBHXVZZS6RD3N3HGFYMAYV/bundle.json","state":"https://pith.science/pith/244SLBHXVZZS6RD3N3HGFYMAYV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/244SLBHXVZZS6RD3N3HGFYMAYV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:244SLBHXVZZS6RD3N3HGFYMAYV","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":"e68182cc99ed4bf0fe501c75d28cba9a486aed322f025fca054166cfb46cf484","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2017-12-05T04:09:11Z","title_canon_sha256":"18ff0e8a75a0de3a845426d4f313e53d3826b3cc1a94b02256f900c163b6cf5d"},"schema_version":"1.0","source":{"id":"1712.01472","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.01472","created_at":"2026-05-18T00:18:31Z"},{"alias_kind":"arxiv_version","alias_value":"1712.01472v3","created_at":"2026-05-18T00:18:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.01472","created_at":"2026-05-18T00:18:31Z"},{"alias_kind":"pith_short_12","alias_value":"244SLBHXVZZS","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_16","alias_value":"244SLBHXVZZS6RD3","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_8","alias_value":"244SLBHX","created_at":"2026-05-18T12:30:55Z"}],"graph_snapshots":[{"event_id":"sha256:1d8c424066d86fd2fe886255daf408f7885e4482bc300cf42a4901668e469409","target":"graph","created_at":"2026-05-18T00:18:31Z","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":"Deep 'Analog Artificial Neural Networks' (ANNs) perform complex classification problems with remarkably high accuracy. However, they rely on humongous amount of power to perform the calculations, veiling the accuracy benefits. The biological brain on the other hand is significantly more powerful than such networks and consumes orders of magnitude less power, indicating us about some conceptual mismatch. Given that the biological neurons communicate using energy efficient trains of spikes, and the behavior is non-deterministic, incorporating these effects in Deep Artificial Neural Networks may ","authors_text":"Aayush Ankit, Abhronil Sengupta, Kaushik Roy, Parami Wijesinghe","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2017-12-05T04:09:11Z","title":"An All-Memristor Deep Spiking Neural Computing System: A Step Towards Realizing the Low Power,Stochastic Brain"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.01472","kind":"arxiv","version":3},"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":"sha256:8b6377f5df2660c81145c9f2d12fd89fae599293ed78f392753d38252991e368","target":"record","created_at":"2026-05-18T00:18:31Z","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":"e68182cc99ed4bf0fe501c75d28cba9a486aed322f025fca054166cfb46cf484","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2017-12-05T04:09:11Z","title_canon_sha256":"18ff0e8a75a0de3a845426d4f313e53d3826b3cc1a94b02256f900c163b6cf5d"},"schema_version":"1.0","source":{"id":"1712.01472","kind":"arxiv","version":3}},"canonical_sha256":"d7392584f7ae732f447b6ece62e180c56030dba7a58bae6746e9ea1375dad4c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d7392584f7ae732f447b6ece62e180c56030dba7a58bae6746e9ea1375dad4c0","first_computed_at":"2026-05-18T00:18:31.221501Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:18:31.221501Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Oke1DsaaeeaFyEtnj//9RnxXP6T2I8393tIxpnHhTDYdWsRLtYaTPMo4aye5HgzHuxhqZgL1Q/s+JSglvUGTCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:18:31.221917Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.01472","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8b6377f5df2660c81145c9f2d12fd89fae599293ed78f392753d38252991e368","sha256:1d8c424066d86fd2fe886255daf408f7885e4482bc300cf42a4901668e469409"],"state_sha256":"e5958864c2cb57ba480faae9aae58e8712645b034d6c7494a035e5083071ee95"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9vqQUpt5kS1G1FW0YGd9kZLr4f1u0c9vzNNQXmS6OnDiw2KN1Zq9L9fMYmGHuY9zk2Q+qhJbvg//rE4SLfGgBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T04:47:09.173143Z","bundle_sha256":"a19bff0ae735609a2a9bd64b0310f26d3abb8a289e0bb72e5e9bfe6817300c8e"}}