{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:B4I3PAAIHOZRP42QVPYL3N46HZ","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":"ef4dd19d21563f889907c9b1ee6c58ae86d30d74c8801da4eee3196671578d2c","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2017-09-15T09:03:42Z","title_canon_sha256":"f1343bc6cd87382933710bf726ce6716972088002e5fafc626c1d8b3af5a2ca1"},"schema_version":"1.0","source":{"id":"1709.05116","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.05116","created_at":"2026-05-18T00:35:06Z"},{"alias_kind":"arxiv_version","alias_value":"1709.05116v1","created_at":"2026-05-18T00:35:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.05116","created_at":"2026-05-18T00:35:06Z"},{"alias_kind":"pith_short_12","alias_value":"B4I3PAAIHOZR","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"B4I3PAAIHOZRP42Q","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"B4I3PAAI","created_at":"2026-05-18T12:31:08Z"}],"graph_snapshots":[{"event_id":"sha256:9304dfaa87dc99e79a4b2cf4b89fc38b7589c34661ed75d0d26f3f0c5e481af4","target":"graph","created_at":"2026-05-18T00:35:06Z","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 convolutional neural networks (CNN) are widely used in modern artificial intelligence (AI) and smart vision systems but also limited by computation latency, throughput, and energy efficiency on a resource-limited scenario, such as mobile devices, internet of things (IoT), unmanned aerial vehicles (UAV), and so on. A hardware streaming architecture is proposed to accelerate convolution and pooling computations for state-of-the-art deep CNNs. It is optimized for energy efficiency by maximizing local data reuse to reduce off-chip DRAM data access. In addition, image and feature decomposition","authors_text":"Junjie Su, Li Du, Mau-Chung Frank Chang, Yilei Li, Yuan Du","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2017-09-15T09:03:42Z","title":"A Streaming Accelerator for Deep Convolutional Neural Networks with Image and Feature Decomposition for Resource-limited System Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.05116","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":"sha256:1067f86ca8360f075048ba13cb7eaaa0fa8364ad8cbe56d45ca89b0d884eecb4","target":"record","created_at":"2026-05-18T00:35:06Z","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":"ef4dd19d21563f889907c9b1ee6c58ae86d30d74c8801da4eee3196671578d2c","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2017-09-15T09:03:42Z","title_canon_sha256":"f1343bc6cd87382933710bf726ce6716972088002e5fafc626c1d8b3af5a2ca1"},"schema_version":"1.0","source":{"id":"1709.05116","kind":"arxiv","version":1}},"canonical_sha256":"0f11b780083bb317f350abf0bdb79e3e703e090196aa272904a0643b57c2bb25","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0f11b780083bb317f350abf0bdb79e3e703e090196aa272904a0643b57c2bb25","first_computed_at":"2026-05-18T00:35:06.636590Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:35:06.636590Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DZOlFu5kkmp4FiZB/uOpcql+oldINEQCutPzFKWeOXPt0SUp9CJrqHPq6QpptOO1Q5hDTuqXkr7oqKukal+tBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:35:06.637246Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.05116","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1067f86ca8360f075048ba13cb7eaaa0fa8364ad8cbe56d45ca89b0d884eecb4","sha256:9304dfaa87dc99e79a4b2cf4b89fc38b7589c34661ed75d0d26f3f0c5e481af4"],"state_sha256":"3ddf727ce415bfca7d30889336fee1290fc69e43f282f7f8223b8e1488e1e31d"}