{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:SOJUZKYZILQIDMDSJ2SEFX6JX3","short_pith_number":"pith:SOJUZKYZ","canonical_record":{"source":{"id":"2304.12214","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2023-04-24T15:54:22Z","cross_cats_sorted":[],"title_canon_sha256":"e840b840b7b5c15376b0e5114740bf829c025cf0c70c4c6420719a051f0a4920","abstract_canon_sha256":"55716009283acbeae324984236af39059b462100b4c20e7eb98b73a6e9e25a6e"},"schema_version":"1.0"},"canonical_sha256":"93934cab1942e081b0724ea442dfc9bed32c277be258d895e945a0af9de087e3","source":{"kind":"arxiv","id":"2304.12214","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.12214","created_at":"2026-07-05T06:03:49Z"},{"alias_kind":"arxiv_version","alias_value":"2304.12214v1","created_at":"2026-07-05T06:03:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.12214","created_at":"2026-07-05T06:03:49Z"},{"alias_kind":"pith_short_12","alias_value":"SOJUZKYZILQI","created_at":"2026-07-05T06:03:49Z"},{"alias_kind":"pith_short_16","alias_value":"SOJUZKYZILQIDMDS","created_at":"2026-07-05T06:03:49Z"},{"alias_kind":"pith_short_8","alias_value":"SOJUZKYZ","created_at":"2026-07-05T06:03:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:SOJUZKYZILQIDMDSJ2SEFX6JX3","target":"record","payload":{"canonical_record":{"source":{"id":"2304.12214","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2023-04-24T15:54:22Z","cross_cats_sorted":[],"title_canon_sha256":"e840b840b7b5c15376b0e5114740bf829c025cf0c70c4c6420719a051f0a4920","abstract_canon_sha256":"55716009283acbeae324984236af39059b462100b4c20e7eb98b73a6e9e25a6e"},"schema_version":"1.0"},"canonical_sha256":"93934cab1942e081b0724ea442dfc9bed32c277be258d895e945a0af9de087e3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:03:49.308742Z","signature_b64":"Dmp+UrKxyR4wdgHc7SCoQ8WDSa7HIkvAbECK+Go/e4hm88pmhrI3MaZO7aGYRrr1zG34t9nj8UZAfmO396pmAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"93934cab1942e081b0724ea442dfc9bed32c277be258d895e945a0af9de087e3","last_reissued_at":"2026-07-05T06:03:49.308270Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:03:49.308270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.12214","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":"2026-07-05T06:03:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BQmKEPGh1Qrnn+dIAdM5nQ8jIXpBPJtt4hlKuK8+BLpb3iJbCysgsEUv6WxIXgKo4W1iJMgE04silbEUD5dYCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T12:27:54.233086Z"},"content_sha256":"485bc145290d643901fb6862d06e38b681841c50cb19d77dddd67bac13abf702","schema_version":"1.0","event_id":"sha256:485bc145290d643901fb6862d06e38b681841c50cb19d77dddd67bac13abf702"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:SOJUZKYZILQIDMDSJ2SEFX6JX3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Bin Lei, Bowen Lei, Caiwen Ding, Dongkuan Xu, Haowen Fang, Kaleel Mahmood, Nuo Xu, Shaoyi Huang, Wujie Wen, Yue Sun","submitted_at":"2023-04-24T15:54:22Z","abstract_excerpt":"Biologically inspired Spiking Neural Networks (SNNs) have attracted significant attention for their ability to provide extremely energy-efficient machine intelligence through event-driven operation and sparse activities. As artificial intelligence (AI) becomes ever more democratized, there is an increasing need to execute SNN models on edge devices. Existing works adopt weight pruning to reduce SNN model size and accelerate inference. However, these methods mainly focus on how to obtain a sparse model for efficient inference, rather than training efficiency. To overcome these drawbacks, in thi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.12214","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2304.12214/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":"2026-07-05T06:03:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9XvzadyUXGguIVdQWl09hjO5mg+/HIgoNtxdaLR9OWijWopeaBj0CDsyyd2Rwu53og0Rgfp7SEzOrTg4ajbUDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T12:27:54.233467Z"},"content_sha256":"1a529b506c630b70527a196b7bc9c3e625f9e0a98a22988cdfabf0d05a419f61","schema_version":"1.0","event_id":"sha256:1a529b506c630b70527a196b7bc9c3e625f9e0a98a22988cdfabf0d05a419f61"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SOJUZKYZILQIDMDSJ2SEFX6JX3/bundle.json","state_url":"https://pith.science/pith/SOJUZKYZILQIDMDSJ2SEFX6JX3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SOJUZKYZILQIDMDSJ2SEFX6JX3/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":"2026-07-06T12:27:54Z","links":{"resolver":"https://pith.science/pith/SOJUZKYZILQIDMDSJ2SEFX6JX3","bundle":"https://pith.science/pith/SOJUZKYZILQIDMDSJ2SEFX6JX3/bundle.json","state":"https://pith.science/pith/SOJUZKYZILQIDMDSJ2SEFX6JX3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SOJUZKYZILQIDMDSJ2SEFX6JX3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SOJUZKYZILQIDMDSJ2SEFX6JX3","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":"55716009283acbeae324984236af39059b462100b4c20e7eb98b73a6e9e25a6e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2023-04-24T15:54:22Z","title_canon_sha256":"e840b840b7b5c15376b0e5114740bf829c025cf0c70c4c6420719a051f0a4920"},"schema_version":"1.0","source":{"id":"2304.12214","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.12214","created_at":"2026-07-05T06:03:49Z"},{"alias_kind":"arxiv_version","alias_value":"2304.12214v1","created_at":"2026-07-05T06:03:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.12214","created_at":"2026-07-05T06:03:49Z"},{"alias_kind":"pith_short_12","alias_value":"SOJUZKYZILQI","created_at":"2026-07-05T06:03:49Z"},{"alias_kind":"pith_short_16","alias_value":"SOJUZKYZILQIDMDS","created_at":"2026-07-05T06:03:49Z"},{"alias_kind":"pith_short_8","alias_value":"SOJUZKYZ","created_at":"2026-07-05T06:03:49Z"}],"graph_snapshots":[{"event_id":"sha256:1a529b506c630b70527a196b7bc9c3e625f9e0a98a22988cdfabf0d05a419f61","target":"graph","created_at":"2026-07-05T06:03:49Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2304.12214/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Biologically inspired Spiking Neural Networks (SNNs) have attracted significant attention for their ability to provide extremely energy-efficient machine intelligence through event-driven operation and sparse activities. As artificial intelligence (AI) becomes ever more democratized, there is an increasing need to execute SNN models on edge devices. Existing works adopt weight pruning to reduce SNN model size and accelerate inference. However, these methods mainly focus on how to obtain a sparse model for efficient inference, rather than training efficiency. To overcome these drawbacks, in thi","authors_text":"Bin Lei, Bowen Lei, Caiwen Ding, Dongkuan Xu, Haowen Fang, Kaleel Mahmood, Nuo Xu, Shaoyi Huang, Wujie Wen, Yue Sun","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2023-04-24T15:54:22Z","title":"Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.12214","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":"sha256:485bc145290d643901fb6862d06e38b681841c50cb19d77dddd67bac13abf702","target":"record","created_at":"2026-07-05T06:03:49Z","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":"55716009283acbeae324984236af39059b462100b4c20e7eb98b73a6e9e25a6e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2023-04-24T15:54:22Z","title_canon_sha256":"e840b840b7b5c15376b0e5114740bf829c025cf0c70c4c6420719a051f0a4920"},"schema_version":"1.0","source":{"id":"2304.12214","kind":"arxiv","version":1}},"canonical_sha256":"93934cab1942e081b0724ea442dfc9bed32c277be258d895e945a0af9de087e3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93934cab1942e081b0724ea442dfc9bed32c277be258d895e945a0af9de087e3","first_computed_at":"2026-07-05T06:03:49.308270Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:03:49.308270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Dmp+UrKxyR4wdgHc7SCoQ8WDSa7HIkvAbECK+Go/e4hm88pmhrI3MaZO7aGYRrr1zG34t9nj8UZAfmO396pmAA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:03:49.308742Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.12214","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:485bc145290d643901fb6862d06e38b681841c50cb19d77dddd67bac13abf702","sha256:1a529b506c630b70527a196b7bc9c3e625f9e0a98a22988cdfabf0d05a419f61"],"state_sha256":"591738daf2179b18649b5eef324bd8b4aee3f999d67f7aa913baec8b043a2d1c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9X7kWsjIXVOgU3lnPfWjVAHYHkdt5vf7nQqIlVViD5mjUtrq7M8FeGb+hHbdZNwP/BC0RLj8vR5pXZe8hb49DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T12:27:54.235507Z","bundle_sha256":"eb8e47af96fe8c1fc980cbd406a2dcbbb6bf68df211bef024784514832a51e31"}}