{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:U4AEDG4QEE3BFXCHCDYSORHGGS","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":"bc8fca9e3122830150030acc9ff6dde0d215edffadcfcf9953baa4c3d19bfc5f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-29T06:49:08Z","title_canon_sha256":"d02ca1f1461adbb0fe459f7c6e0c1d096c29a46d1d9f3891eb4c952e2bf81f7c"},"schema_version":"1.0","source":{"id":"1905.03696","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.03696","created_at":"2026-07-05T00:50:50Z"},{"alias_kind":"arxiv_version","alias_value":"1905.03696v1","created_at":"2026-07-05T00:50:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.03696","created_at":"2026-07-05T00:50:50Z"},{"alias_kind":"pith_short_12","alias_value":"U4AEDG4QEE3B","created_at":"2026-07-05T00:50:50Z"},{"alias_kind":"pith_short_16","alias_value":"U4AEDG4QEE3BFXCH","created_at":"2026-07-05T00:50:50Z"},{"alias_kind":"pith_short_8","alias_value":"U4AEDG4Q","created_at":"2026-07-05T00:50:50Z"}],"graph_snapshots":[{"event_id":"sha256:45030f234349fd6d22b32ae5be1c3274618921bc91a5743c4e74273649e8d4cc","target":"graph","created_at":"2026-07-05T00:50:50Z","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/1905.03696/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Model size and inference speed/power have become a major challenge in the deployment of Neural Networks for many applications. A promising approach to address these problems is quantization. However, uniformly quantizing a model to ultra low precision leads to significant accuracy degradation. A novel solution for this is to use mixed-precision quantization, as some parts of the network may allow lower precision as compared to other layers. However, there is no systematic way to determine the precision of different layers. A brute force approach is not feasible for deep networks, as the search","authors_text":"Amir Gholami, Kurt Keutzer, Michael Mahoney, Zhen Dong, Zhewei Yao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-29T06:49:08Z","title":"HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.03696","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:d0287a6eaa908f50d5b4d33ce0948cdf2b70b0a250790c9da8e839924a5374ec","target":"record","created_at":"2026-07-05T00:50:50Z","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":"bc8fca9e3122830150030acc9ff6dde0d215edffadcfcf9953baa4c3d19bfc5f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-29T06:49:08Z","title_canon_sha256":"d02ca1f1461adbb0fe459f7c6e0c1d096c29a46d1d9f3891eb4c952e2bf81f7c"},"schema_version":"1.0","source":{"id":"1905.03696","kind":"arxiv","version":1}},"canonical_sha256":"a700419b90213612dc4710f12744e63496116b9846372676f76eebeae5b789c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a700419b90213612dc4710f12744e63496116b9846372676f76eebeae5b789c5","first_computed_at":"2026-07-05T00:50:50.189643Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:50:50.189643Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t7UDFwBPzetouQVHunL5CKJIJ9eWPJJOt+CgVL/YmP/ohdBQTx7AetyIH15xeFjDnJ2qEV30lRhllGPiURqQDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:50:50.190067Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.03696","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d0287a6eaa908f50d5b4d33ce0948cdf2b70b0a250790c9da8e839924a5374ec","sha256:45030f234349fd6d22b32ae5be1c3274618921bc91a5743c4e74273649e8d4cc"],"state_sha256":"818f1c29b234bdf6de0a88ee7e9890fe39c3215a9d40504f2854abde06dcd255"}