{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:5IE64L2GBI77SN3ZFHHQ54MZTF","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":"537e075e46f8c2c00716226c873bf08f97b693a98d20cb76fcb470cc937fb5fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-17T15:35:51Z","title_canon_sha256":"beffeb9fcfadc10baa4a0d46d97f026f0f2146486a38b5003a978cc3a9e68bc5"},"schema_version":"1.0","source":{"id":"1908.06314","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.06314","created_at":"2026-07-04T23:58:14Z"},{"alias_kind":"arxiv_version","alias_value":"1908.06314v1","created_at":"2026-07-04T23:58:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.06314","created_at":"2026-07-04T23:58:14Z"},{"alias_kind":"pith_short_12","alias_value":"5IE64L2GBI77","created_at":"2026-07-04T23:58:14Z"},{"alias_kind":"pith_short_16","alias_value":"5IE64L2GBI77SN3Z","created_at":"2026-07-04T23:58:14Z"},{"alias_kind":"pith_short_8","alias_value":"5IE64L2G","created_at":"2026-07-04T23:58:14Z"}],"graph_snapshots":[{"event_id":"sha256:abcb8735950b8fba57315a76116d6af2a29c11d5cbf6013a86de1b9c2671acab","target":"graph","created_at":"2026-07-04T23:58:14Z","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/1908.06314/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep convolutional neural networks (DCNNs) have dominated the recent developments in computer vision through making various record-breaking models. However, it is still a great challenge to achieve powerful DCNNs in resource-limited environments, such as on embedded devices and smart phones. Researchers have realized that 1-bit CNNs can be one feasible solution to resolve the issue; however, they are baffled by the inferior performance compared to the full-precision DCNNs. In this paper, we propose a novel approach, called Bayesian optimized 1-bit CNNs (denoted as BONNs), taking the advantage ","authors_text":"Baochang Zhang, Guodong Guo, Jianzhuang Liu, Jiaxin Gu, Junhe Zhao, Rongrong Ji, Xiaolong Jiang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-17T15:35:51Z","title":"Bayesian Optimized 1-Bit CNNs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.06314","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:d67aa2cdc68b3c700ce38c0e2da9aa15f62e2a084408959c7682101abff5ea59","target":"record","created_at":"2026-07-04T23:58:14Z","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":"537e075e46f8c2c00716226c873bf08f97b693a98d20cb76fcb470cc937fb5fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-17T15:35:51Z","title_canon_sha256":"beffeb9fcfadc10baa4a0d46d97f026f0f2146486a38b5003a978cc3a9e68bc5"},"schema_version":"1.0","source":{"id":"1908.06314","kind":"arxiv","version":1}},"canonical_sha256":"ea09ee2f460a3ff9377929cf0ef199995c7dab856c8dcbf2a37e57bb7c537802","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea09ee2f460a3ff9377929cf0ef199995c7dab856c8dcbf2a37e57bb7c537802","first_computed_at":"2026-07-04T23:58:14.483058Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:58:14.483058Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"d2E66tnNMrjs1t6wSkB7osdFbOtCTvORCyOM5k9hZW8qO3p4mrPIGibBgnTTyfsWmsJ/9WyWvlLPsb9mqWIRBg==","signature_status":"signed_v1","signed_at":"2026-07-04T23:58:14.483401Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.06314","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d67aa2cdc68b3c700ce38c0e2da9aa15f62e2a084408959c7682101abff5ea59","sha256:abcb8735950b8fba57315a76116d6af2a29c11d5cbf6013a86de1b9c2671acab"],"state_sha256":"97dc67e7a316971ee9e5a72024a75ead7d507ff9d233ef33cf184b62d472b4f0"}