{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:XIJWF43SLMKODVSG3X5JMQGBEX","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":"8643e162cc65826e8a9ed55e85c235fb2f9de4181190528c3926ef0309385dfa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-17T07:28:17Z","title_canon_sha256":"79dd01ddfdd8f94c6ebcd5b8695822e536a1ace6f00eefa4b4abce832473ce6c"},"schema_version":"1.0","source":{"id":"1808.05779","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.05779","created_at":"2026-05-18T00:00:08Z"},{"alias_kind":"arxiv_version","alias_value":"1808.05779v3","created_at":"2026-05-18T00:00:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.05779","created_at":"2026-05-18T00:00:08Z"},{"alias_kind":"pith_short_12","alias_value":"XIJWF43SLMKO","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XIJWF43SLMKODVSG","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XIJWF43S","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:ac2b0fa70b553f24b561fe32998e4e80abdfca9e1ca37c00e7a6b53d916125e9","target":"graph","created_at":"2026-05-18T00:00:08Z","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":"Reducing bit-widths of activations and weights of deep networks makes it efficient to compute and store them in memory, which is crucial in their deployments to resource-limited devices, such as mobile phones. However, decreasing bit-widths with quantization generally yields drastically degraded accuracy. To tackle this problem, we propose to learn to quantize activations and weights via a trainable quantizer that transforms and discretizes them. Specifically, we parameterize the quantization intervals and obtain their optimal values by directly minimizing the task loss of the network. This qu","authors_text":"Changkyu Choi, Changyong Son, Jae-Joon Han, Jinwoo Son, Sangil Jung, Seohyung Lee, Sung Ju Hwang, Youngjun Kwak","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-17T07:28:17Z","title":"Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.05779","kind":"arxiv","version":3},"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":"sha256:633b28d4e8e7bdf190f27abc2616b686999ce9064f73fcb7ce9167137f8254a6","target":"record","created_at":"2026-05-18T00:00:08Z","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":"8643e162cc65826e8a9ed55e85c235fb2f9de4181190528c3926ef0309385dfa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-17T07:28:17Z","title_canon_sha256":"79dd01ddfdd8f94c6ebcd5b8695822e536a1ace6f00eefa4b4abce832473ce6c"},"schema_version":"1.0","source":{"id":"1808.05779","kind":"arxiv","version":3}},"canonical_sha256":"ba1362f3725b14e1d646ddfa9640c125e647f34370c6d4d119994da746050fde","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ba1362f3725b14e1d646ddfa9640c125e647f34370c6d4d119994da746050fde","first_computed_at":"2026-05-18T00:00:08.185618Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:00:08.185618Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nA7E6MBBmUMwBigjixgZB3v+p9QslNMVBk39Cgm6GaH5lpA5P+UUShh8Ga2DwTl1No2dQXVsb+e3K2b1EuP6AQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:00:08.186192Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.05779","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:633b28d4e8e7bdf190f27abc2616b686999ce9064f73fcb7ce9167137f8254a6","sha256:ac2b0fa70b553f24b561fe32998e4e80abdfca9e1ca37c00e7a6b53d916125e9"],"state_sha256":"41cab15a6b471bd8ad4a199b0e36541a381b213995e27e69a54757ac2fc08405"}