{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:X6EIYD44ZDJUWTZMD3EJCKHOFH","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":"5a3692ebdeb7a3ad934481c2baa53b456ee4bb025a148ed9bc9709aab003a00b","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-15T14:59:53Z","title_canon_sha256":"0a99c3375d00c94ca26967026e92ae3f6b7463053135ffef7067a1a3e03f9d4a"},"schema_version":"1.0","source":{"id":"1909.12942","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.12942","created_at":"2026-07-05T00:07:54Z"},{"alias_kind":"arxiv_version","alias_value":"1909.12942v1","created_at":"2026-07-05T00:07:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.12942","created_at":"2026-07-05T00:07:54Z"},{"alias_kind":"pith_short_12","alias_value":"X6EIYD44ZDJU","created_at":"2026-07-05T00:07:54Z"},{"alias_kind":"pith_short_16","alias_value":"X6EIYD44ZDJUWTZM","created_at":"2026-07-05T00:07:54Z"},{"alias_kind":"pith_short_8","alias_value":"X6EIYD44","created_at":"2026-07-05T00:07:54Z"}],"graph_snapshots":[{"event_id":"sha256:b9a43785df4d2c5b3446f81fbe3dfba8b03a8e0a6b9c2a62536e99ded17028e3","target":"graph","created_at":"2026-07-05T00:07:54Z","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/1909.12942/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Computer-science-oriented artificial neural networks (ANNs) have achieved tremendous success in a variety of scenarios via powerful feature extraction and high-precision data operations. It is well known, however, that ANNs usually suffer from expensive processing resources and costs. In contrast, neuroscience-oriented spiking neural networks (SNNs) are promising for energy-efficient information processing benefit from the event-driven spike activities, whereas, they are yet be evidenced to achieve impressive effectiveness on real complicated tasks. How to combine the advantage of these two mo","authors_text":"Guanrui Wang, Guoqi Li, Jun Zhu, Lei Deng, Luping Shi, Yujie Wu, Yukuan Yang, Zheyu Yang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-15T14:59:53Z","title":"DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.12942","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":"sha256:9a9fa2642dbf6226d57d0a073a3e97689925c01cbd4ffa8b4c08f44a3a6e2961","target":"record","created_at":"2026-07-05T00:07:54Z","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":"5a3692ebdeb7a3ad934481c2baa53b456ee4bb025a148ed9bc9709aab003a00b","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-15T14:59:53Z","title_canon_sha256":"0a99c3375d00c94ca26967026e92ae3f6b7463053135ffef7067a1a3e03f9d4a"},"schema_version":"1.0","source":{"id":"1909.12942","kind":"arxiv","version":1}},"canonical_sha256":"bf888c0f9cc8d34b4f2c1ec89128ee29c39015654960a065a5a1aee0ca4eac1d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bf888c0f9cc8d34b4f2c1ec89128ee29c39015654960a065a5a1aee0ca4eac1d","first_computed_at":"2026-07-05T00:07:54.182434Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:07:54.182434Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wU5/Vn1KnvaJwqlcA64814288A8ZyQ6ziPSCRm5IYu99r8MXeqv2VjFH9NDmuNkol+wXle5JqFqCf8loiKVFCA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:07:54.182828Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.12942","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9a9fa2642dbf6226d57d0a073a3e97689925c01cbd4ffa8b4c08f44a3a6e2961","sha256:b9a43785df4d2c5b3446f81fbe3dfba8b03a8e0a6b9c2a62536e99ded17028e3"],"state_sha256":"213fc5c96e23504192a56ed23072ec21f0cd7c3000773303a022555e220ab001"}