{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UKW34VHAOCVFOF7N576A2G22SE","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":"7e4565366d8a854f0ef755e0f692f25f01549fd92ae2a1a702aac6d957f6988f","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2025-02-02T06:15:55Z","title_canon_sha256":"1c63ebc17a98b3ce109546dc50a1f757515692c5ff3d088a736608b8116758ce"},"schema_version":"1.0","source":{"id":"2502.00687","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.00687","created_at":"2026-07-05T10:08:37Z"},{"alias_kind":"arxiv_version","alias_value":"2502.00687v1","created_at":"2026-07-05T10:08:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.00687","created_at":"2026-07-05T10:08:37Z"},{"alias_kind":"pith_short_12","alias_value":"UKW34VHAOCVF","created_at":"2026-07-05T10:08:37Z"},{"alias_kind":"pith_short_16","alias_value":"UKW34VHAOCVFOF7N","created_at":"2026-07-05T10:08:37Z"},{"alias_kind":"pith_short_8","alias_value":"UKW34VHA","created_at":"2026-07-05T10:08:37Z"}],"graph_snapshots":[{"event_id":"sha256:32246b12c32558b03cb2d5c3730d1e928ae477c1cbf74edd8ea786ed7d0cac11","target":"graph","created_at":"2026-07-05T10:08:37Z","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/2502.00687/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deploying mixed-precision neural networks on edge devices is friendly to hardware resources and power consumption. To support fully mixed-precision neural network inference, it is necessary to design flexible hardware accelerators for continuous varying precision operations. However, the previous works have issues on hardware utilization and overhead of reconfigurable logic. In this paper, we propose an efficient accelerator for 2~8-bit precision scaling with serial activation input and parallel weight preloaded. First, we set two loading modes for the weight operands and decompose the weight ","authors_text":"Chi-Ying Tsui, Fengshi Tian, Kunming Shao, Liang Zhao, Tim Kwang-Ting Cheng, Yi Zou","cross_cats":["cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2025-02-02T06:15:55Z","title":"A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.00687","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":"sha256:38b0166d79cd0f91a8fd5e543e506c059cc504481e1177d7d556953a79e022cc","target":"record","created_at":"2026-07-05T10:08:37Z","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":"7e4565366d8a854f0ef755e0f692f25f01549fd92ae2a1a702aac6d957f6988f","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2025-02-02T06:15:55Z","title_canon_sha256":"1c63ebc17a98b3ce109546dc50a1f757515692c5ff3d088a736608b8116758ce"},"schema_version":"1.0","source":{"id":"2502.00687","kind":"arxiv","version":1}},"canonical_sha256":"a2adbe54e070aa5717edeffc0d1b5a9106b4319a211032a05c0f3c3bea1e5676","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a2adbe54e070aa5717edeffc0d1b5a9106b4319a211032a05c0f3c3bea1e5676","first_computed_at":"2026-07-05T10:08:37.128473Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:08:37.128473Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6fHeSPQll4qfMKZlGF02T0wTlEWg0WeHaZub2S2lqXovez9KGKQS/Qub+IbfyQ03YefgVnnJZ6zH5o3T9gvXAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:08:37.128942Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.00687","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38b0166d79cd0f91a8fd5e543e506c059cc504481e1177d7d556953a79e022cc","sha256:32246b12c32558b03cb2d5c3730d1e928ae477c1cbf74edd8ea786ed7d0cac11"],"state_sha256":"b77154bd1d90bbdb90b8c269e05549d0c20cf33fc7c1eca12aada1b4e0b0dd45"}