{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:72RM5ZKTX6LKG43HI3HX53RGWZ","short_pith_number":"pith:72RM5ZKT","canonical_record":{"source":{"id":"2001.10696","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.NE","submitted_at":"2020-01-29T05:40:29Z","cross_cats_sorted":["cs.LG","q-bio.NC"],"title_canon_sha256":"de8168d2e419b802e53181ae9539fdfed35e748efa0815d28b94cafd1b3f2abf","abstract_canon_sha256":"5cfdb39603137d1fcaf5a0eae4ebbfdb3155adf2d6e801439520610c8184fed5"},"schema_version":"1.0"},"canonical_sha256":"fea2cee553bf96a3736746cf7eee26b6711372e39db1c0e50b0d1062e46e793a","source":{"kind":"arxiv","id":"2001.10696","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.10696","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"arxiv_version","alias_value":"2001.10696v5","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.10696","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"pith_short_12","alias_value":"72RM5ZKTX6LK","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"pith_short_16","alias_value":"72RM5ZKTX6LKG43H","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"pith_short_8","alias_value":"72RM5ZKT","created_at":"2026-07-05T01:43:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:72RM5ZKTX6LKG43HI3HX53RGWZ","target":"record","payload":{"canonical_record":{"source":{"id":"2001.10696","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.NE","submitted_at":"2020-01-29T05:40:29Z","cross_cats_sorted":["cs.LG","q-bio.NC"],"title_canon_sha256":"de8168d2e419b802e53181ae9539fdfed35e748efa0815d28b94cafd1b3f2abf","abstract_canon_sha256":"5cfdb39603137d1fcaf5a0eae4ebbfdb3155adf2d6e801439520610c8184fed5"},"schema_version":"1.0"},"canonical_sha256":"fea2cee553bf96a3736746cf7eee26b6711372e39db1c0e50b0d1062e46e793a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:43:55.425397Z","signature_b64":"VYSAy0rOdxcA0K7pGxSEpsWUNWXsKBqkvjxFcpGl+sUhQVFF5jEow4IDepgrIyGopkXQoqeAtoJByuoU7SefAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fea2cee553bf96a3736746cf7eee26b6711372e39db1c0e50b0d1062e46e793a","last_reissued_at":"2026-07-05T01:43:55.424981Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:43:55.424981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2001.10696","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:43:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bdf2XSZN2FctD47sUbMPEThB1e5IV8dEXAEWknHXHu2+y+F0BuUmR0TS8QoAVdtNxNmNir4biFAgD2T/IaIkDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T02:00:11.475206Z"},"content_sha256":"ef73b69236f0102b76a8eb02922934d5e22cb03ba1159b9510db39eb07f7e0c4","schema_version":"1.0","event_id":"sha256:ef73b69236f0102b76a8eb02922934d5e22cb03ba1159b9510db39eb07f7e0c4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:72RM5ZKTX6LKG43HI3HX53RGWZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG","q-bio.NC"],"primary_cat":"cs.NE","authors_text":"Mingyuan Meng, Shanlin Xiao, Xingyu Yang, Zhiyi Yu","submitted_at":"2020-01-29T05:40:29Z","abstract_excerpt":"Spiking Neural Network (SNN), as a brain-inspired approach, is attracting attention due to its potential to produce ultra-high-energy-efficient hardware. Competitive learning based on Spike-Timing-Dependent Plasticity (STDP) is a popular method to train an unsupervised SNN. However, previous unsupervised SNNs trained through this method are limited to a shallow network with only one learnable layer and cannot achieve satisfactory results when compared with multi-layer SNNs. In this paper, we eased this limitation by: 1)We proposed a Spiking Inception (Sp-Inception) module, inspired by the Ince"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.10696","kind":"arxiv","version":5},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2001.10696/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T01:43:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VWLiRyWb0oXiF7YWglJYGcHFHF426tlq+GQI+4B73IvxllKoEpW9hOINmpAihZRWp19efy+sGlcss8Q1I2GgAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T02:00:11.475770Z"},"content_sha256":"bf41d00fefab04126a8c2a189d47f67f2997a88d3b00d6907d31c0befa21605e","schema_version":"1.0","event_id":"sha256:bf41d00fefab04126a8c2a189d47f67f2997a88d3b00d6907d31c0befa21605e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/72RM5ZKTX6LKG43HI3HX53RGWZ/bundle.json","state_url":"https://pith.science/pith/72RM5ZKTX6LKG43HI3HX53RGWZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/72RM5ZKTX6LKG43HI3HX53RGWZ/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":"2026-08-15T02:00:11Z","links":{"resolver":"https://pith.science/pith/72RM5ZKTX6LKG43HI3HX53RGWZ","bundle":"https://pith.science/pith/72RM5ZKTX6LKG43HI3HX53RGWZ/bundle.json","state":"https://pith.science/pith/72RM5ZKTX6LKG43HI3HX53RGWZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/72RM5ZKTX6LKG43HI3HX53RGWZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:72RM5ZKTX6LKG43HI3HX53RGWZ","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":"5cfdb39603137d1fcaf5a0eae4ebbfdb3155adf2d6e801439520610c8184fed5","cross_cats_sorted":["cs.LG","q-bio.NC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.NE","submitted_at":"2020-01-29T05:40:29Z","title_canon_sha256":"de8168d2e419b802e53181ae9539fdfed35e748efa0815d28b94cafd1b3f2abf"},"schema_version":"1.0","source":{"id":"2001.10696","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.10696","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"arxiv_version","alias_value":"2001.10696v5","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.10696","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"pith_short_12","alias_value":"72RM5ZKTX6LK","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"pith_short_16","alias_value":"72RM5ZKTX6LKG43H","created_at":"2026-07-05T01:43:55Z"},{"alias_kind":"pith_short_8","alias_value":"72RM5ZKT","created_at":"2026-07-05T01:43:55Z"}],"graph_snapshots":[{"event_id":"sha256:bf41d00fefab04126a8c2a189d47f67f2997a88d3b00d6907d31c0befa21605e","target":"graph","created_at":"2026-07-05T01:43:55Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2001.10696/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Spiking Neural Network (SNN), as a brain-inspired approach, is attracting attention due to its potential to produce ultra-high-energy-efficient hardware. Competitive learning based on Spike-Timing-Dependent Plasticity (STDP) is a popular method to train an unsupervised SNN. However, previous unsupervised SNNs trained through this method are limited to a shallow network with only one learnable layer and cannot achieve satisfactory results when compared with multi-layer SNNs. In this paper, we eased this limitation by: 1)We proposed a Spiking Inception (Sp-Inception) module, inspired by the Ince","authors_text":"Mingyuan Meng, Shanlin Xiao, Xingyu Yang, Zhiyi Yu","cross_cats":["cs.LG","q-bio.NC"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.NE","submitted_at":"2020-01-29T05:40:29Z","title":"Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.10696","kind":"arxiv","version":5},"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:ef73b69236f0102b76a8eb02922934d5e22cb03ba1159b9510db39eb07f7e0c4","target":"record","created_at":"2026-07-05T01:43:55Z","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":"5cfdb39603137d1fcaf5a0eae4ebbfdb3155adf2d6e801439520610c8184fed5","cross_cats_sorted":["cs.LG","q-bio.NC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.NE","submitted_at":"2020-01-29T05:40:29Z","title_canon_sha256":"de8168d2e419b802e53181ae9539fdfed35e748efa0815d28b94cafd1b3f2abf"},"schema_version":"1.0","source":{"id":"2001.10696","kind":"arxiv","version":5}},"canonical_sha256":"fea2cee553bf96a3736746cf7eee26b6711372e39db1c0e50b0d1062e46e793a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fea2cee553bf96a3736746cf7eee26b6711372e39db1c0e50b0d1062e46e793a","first_computed_at":"2026-07-05T01:43:55.424981Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:43:55.424981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VYSAy0rOdxcA0K7pGxSEpsWUNWXsKBqkvjxFcpGl+sUhQVFF5jEow4IDepgrIyGopkXQoqeAtoJByuoU7SefAA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:43:55.425397Z","signed_message":"canonical_sha256_bytes"},"source_id":"2001.10696","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ef73b69236f0102b76a8eb02922934d5e22cb03ba1159b9510db39eb07f7e0c4","sha256:bf41d00fefab04126a8c2a189d47f67f2997a88d3b00d6907d31c0befa21605e"],"state_sha256":"e0658adf44403c331e2fabf4161d089638aafb1ef6cefaad55e4dfe1f487a847"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EeLTNJ79xg51fnFButMtS8le9sHr3KeK2X095sAC9xQifS0gHhMDeIX4WRrIrrsOf+ta6RJ1/VRmXRoXvzvXCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T02:00:11.480358Z","bundle_sha256":"88b168ce3f75a7425604ab69d00c3769854aaacb96407b2b491b9dad9d7401a7"}}