{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:IBABFCQTNPHF5MCSSAGE3KY6FY","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":"3cef089a5b03b9765c026920441864e93ab0a5d24dc55924ff0d9edd1b246f99","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-14T20:19:24Z","title_canon_sha256":"b3705619042a3640e3f911324952de1a7d9352c45192c8f9bda1d8a86bc9f863"},"schema_version":"1.0","source":{"id":"1805.05421","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.05421","created_at":"2026-05-18T00:16:02Z"},{"alias_kind":"arxiv_version","alias_value":"1805.05421v1","created_at":"2026-05-18T00:16:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.05421","created_at":"2026-05-18T00:16:02Z"},{"alias_kind":"pith_short_12","alias_value":"IBABFCQTNPHF","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"IBABFCQTNPHF5MCS","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"IBABFCQT","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:0eb8d017d0ae87cf777db07a7557fd8221218b49f0c40802717a603c4818802b","target":"graph","created_at":"2026-05-18T00:16:02Z","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":"Deep learning has made significant improvements at many image processing tasks in recent years, such as image classification, object recognition and object detection. Convolutional neural networks (CNN), which is a popular deep learning architecture designed to process data in multiple array form, show great success to almost all detection \\& recognition problems and computer vision tasks. However, the number of parameters in a CNN is too high such that the computers require more energy and larger memory size. In order to solve this problem, we propose a novel energy efficient model Binary Wei","authors_text":"A. Enis Cetin, Serdar Cakir, T. Ceren Deveci","cross_cats":[],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-14T20:19:24Z","title":"Energy Efficient Hadamard Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.05421","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:b39c690acb01b130ffd67ae112725b3ae3938615feeeae4d5a1c91a0e5e96fdf","target":"record","created_at":"2026-05-18T00:16:02Z","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":"3cef089a5b03b9765c026920441864e93ab0a5d24dc55924ff0d9edd1b246f99","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-14T20:19:24Z","title_canon_sha256":"b3705619042a3640e3f911324952de1a7d9352c45192c8f9bda1d8a86bc9f863"},"schema_version":"1.0","source":{"id":"1805.05421","kind":"arxiv","version":1}},"canonical_sha256":"4040128a136bce5eb052900c4dab1e2e2ab1651703802f9a3f5726e6a30733a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4040128a136bce5eb052900c4dab1e2e2ab1651703802f9a3f5726e6a30733a6","first_computed_at":"2026-05-18T00:16:02.372847Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:16:02.372847Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A2STA6/p5Vc+9NRvusQ9ikWh3YKYKKr/399kuhn1ikASSlyMcYx1uGFcpZ9DEe+TrmzDQ+bw38vxhQ3kYw/jBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:16:02.373256Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.05421","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b39c690acb01b130ffd67ae112725b3ae3938615feeeae4d5a1c91a0e5e96fdf","sha256:0eb8d017d0ae87cf777db07a7557fd8221218b49f0c40802717a603c4818802b"],"state_sha256":"ba9c072d741ea10ace79290dcb74a8e51bf00d0022a749fdf981f2bcc1f02bc9"}