{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:7M5E3JX623VL7LWVES7CQVSRWN","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":"f37230e5023c028b09290278d62970b8a5e8da717606ce2c51f3a0a13b049dd7","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-03T10:11:40Z","title_canon_sha256":"722f8314f879c91b46a479faa3c1b51c0aff82032ad7c721cb5559f5dc14368e"},"schema_version":"1.0","source":{"id":"1702.00953","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.00953","created_at":"2026-05-18T00:51:29Z"},{"alias_kind":"arxiv_version","alias_value":"1702.00953v1","created_at":"2026-05-18T00:51:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.00953","created_at":"2026-05-18T00:51:29Z"},{"alias_kind":"pith_short_12","alias_value":"7M5E3JX623VL","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"7M5E3JX623VL7LWV","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"7M5E3JX6","created_at":"2026-05-18T12:31:05Z"}],"graph_snapshots":[{"event_id":"sha256:6de4759c6f83d71439e78e9979f04e790c9562c49ea7a7fbcec0a0b5b680d589","target":"graph","created_at":"2026-05-18T00:51:29Z","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":"The problem of quantizing the activations of a deep neural network is considered. An examination of the popular binary quantization approach shows that this consists of approximating a classical non-linearity, the hyperbolic tangent, by two functions: a piecewise constant sign function, which is used in feedforward network computations, and a piecewise linear hard tanh function, used in the backpropagation step during network learning. The problem of approximating the ReLU non-linearity, widely used in the recent deep learning literature, is then considered. An half-wave Gaussian quantizer (HW","authors_text":"Jian Sun, Nuno Vasconcelos, Xiaodong He, Zhaowei Cai","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-03T10:11:40Z","title":"Deep Learning with Low Precision by Half-wave Gaussian Quantization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.00953","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":"sha256:85778262f65f72ca1bd41cb8bbb8afae29c708d63db67238d0266d4d6470d17a","target":"record","created_at":"2026-05-18T00:51:29Z","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":"f37230e5023c028b09290278d62970b8a5e8da717606ce2c51f3a0a13b049dd7","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-03T10:11:40Z","title_canon_sha256":"722f8314f879c91b46a479faa3c1b51c0aff82032ad7c721cb5559f5dc14368e"},"schema_version":"1.0","source":{"id":"1702.00953","kind":"arxiv","version":1}},"canonical_sha256":"fb3a4da6fed6eabfaed524be285651b34eab6db930114ca915326d603f6f768c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fb3a4da6fed6eabfaed524be285651b34eab6db930114ca915326d603f6f768c","first_computed_at":"2026-05-18T00:51:29.316046Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:51:29.316046Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Q6jcQyfUDxFyFOVmJgWvcnmkUeqt2Bkc02j4sdrfIRPRtfnJyOgp/Qd6uFOVtp9SQ2VtEHo+5LJG2RGhJyn5AQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:51:29.316605Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.00953","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:85778262f65f72ca1bd41cb8bbb8afae29c708d63db67238d0266d4d6470d17a","sha256:6de4759c6f83d71439e78e9979f04e790c9562c49ea7a7fbcec0a0b5b680d589"],"state_sha256":"c41218bc06f6d8fecafd092d3c18f57d1508fa9b930b17e6910ee5e7436d2eac"}