{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:PMTWN5ESBNP3ZTMVPGKVFVGTT6","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":"7d5ef413c52ace9353905abfa33ed11b27ba14ff0ffc2ac2e6b3d38962d18aa8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-03-27T03:42:31Z","title_canon_sha256":"69441ea4dd28fbff54e4a8b6df1b993c74f2b159f497280c0cb26ad38c8f06dd"},"schema_version":"1.0","source":{"id":"1903.11236","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.11236","created_at":"2026-07-05T00:48:58Z"},{"alias_kind":"arxiv_version","alias_value":"1903.11236v3","created_at":"2026-07-05T00:48:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.11236","created_at":"2026-07-05T00:48:58Z"},{"alias_kind":"pith_short_12","alias_value":"PMTWN5ESBNP3","created_at":"2026-07-05T00:48:58Z"},{"alias_kind":"pith_short_16","alias_value":"PMTWN5ESBNP3ZTMV","created_at":"2026-07-05T00:48:58Z"},{"alias_kind":"pith_short_8","alias_value":"PMTWN5ES","created_at":"2026-07-05T00:48:58Z"}],"graph_snapshots":[{"event_id":"sha256:82c3797c2e74e2e2c701713891cfc9c5abe3e4b3cf9c227b2a3466fff72f8c15","target":"graph","created_at":"2026-07-05T00:48:58Z","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/1903.11236/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we seek to tackle a challenge in training low-precision networks: the notorious difficulty in propagating gradient through a low-precision network due to the non-differentiable quantization function. We propose a solution by training the low-precision network with a fullprecision auxiliary module. Specifically, during training, we construct a mix-precision network by augmenting the original low-precision network with the full precision auxiliary module. Then the augmented mix-precision network and the low-precision network are jointly optimized. This strategy creates additional ","authors_text":"Bohan Zhuang, Chunhua Shen, Ian Reid, Lingqiao Liu, Mingkui Tan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-03-27T03:42:31Z","title":"Training Quantized Neural Networks with a Full-precision Auxiliary Module"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.11236","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:eb84ef66022c97e146070a9a01fb6c35a3d37f0b01164b7f6c15bed1c5e37841","target":"record","created_at":"2026-07-05T00:48:58Z","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":"7d5ef413c52ace9353905abfa33ed11b27ba14ff0ffc2ac2e6b3d38962d18aa8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-03-27T03:42:31Z","title_canon_sha256":"69441ea4dd28fbff54e4a8b6df1b993c74f2b159f497280c0cb26ad38c8f06dd"},"schema_version":"1.0","source":{"id":"1903.11236","kind":"arxiv","version":3}},"canonical_sha256":"7b2766f4920b5fbccd95799552d4d39faa45ea38bb29079bb5a88e18ef09d8fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7b2766f4920b5fbccd95799552d4d39faa45ea38bb29079bb5a88e18ef09d8fe","first_computed_at":"2026-07-05T00:48:58.768944Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:48:58.768944Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TqUKzw41dzzo82g1bn92rrCYobD254p5v2+8QAl5GaA+uXOYnVEAbF4m/YstmvcgDfSJHVzUA4DzRvMQGEpDCw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:48:58.769413Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.11236","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb84ef66022c97e146070a9a01fb6c35a3d37f0b01164b7f6c15bed1c5e37841","sha256:82c3797c2e74e2e2c701713891cfc9c5abe3e4b3cf9c227b2a3466fff72f8c15"],"state_sha256":"1d20a4bbc7ee9b54e3e8a7e331dc09f87ef525b8b8fe7f76e537ab0de9a9f259"}