{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:4QFE7NQRNA5GADPEXRYZSKRXEC","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":"5966f1919712c014360c08f35fe7bfec57cf769c1e64b370b1d8d9426cdff5eb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-03-03T04:12:02Z","title_canon_sha256":"b34a718f3659ec358371ea8812f6a80da6dae75b3ebd3208bf2b60e9d386fce4"},"schema_version":"1.0","source":{"id":"1603.00968","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.00968","created_at":"2026-05-18T01:18:13Z"},{"alias_kind":"arxiv_version","alias_value":"1603.00968v2","created_at":"2026-05-18T01:18:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.00968","created_at":"2026-05-18T01:18:13Z"},{"alias_kind":"pith_short_12","alias_value":"4QFE7NQRNA5G","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_16","alias_value":"4QFE7NQRNA5GADPE","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_8","alias_value":"4QFE7NQR","created_at":"2026-05-18T12:29:58Z"}],"graph_snapshots":[{"event_id":"sha256:d9059c935db572dcda7eb85048085b624d58cde7265d821bbe4c8088a82dc5f6","target":"graph","created_at":"2026-05-18T01:18:13Z","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":"We introduce a novel, simple convolution neural network (CNN) architecture - multi-group norm constraint CNN (MGNC-CNN) that capitalizes on multiple sets of word embeddings for sentence classification. MGNC-CNN extracts features from input embedding sets independently and then joins these at the penultimate layer in the network to form a final feature vector. We then adopt a group regularization strategy that differentially penalizes weights associated with the subcomponents generated from the respective embedding sets. This model is much simpler than comparable alternative architectures and r","authors_text":"Byron Wallace, Stephen Roller, Ye Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-03-03T04:12:02Z","title":"MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.00968","kind":"arxiv","version":2},"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":"sha256:5a90cd1a675088718be4a915361972054530811900e990bf5bccd0d9cf08cbcc","target":"record","created_at":"2026-05-18T01:18:13Z","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":"5966f1919712c014360c08f35fe7bfec57cf769c1e64b370b1d8d9426cdff5eb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-03-03T04:12:02Z","title_canon_sha256":"b34a718f3659ec358371ea8812f6a80da6dae75b3ebd3208bf2b60e9d386fce4"},"schema_version":"1.0","source":{"id":"1603.00968","kind":"arxiv","version":2}},"canonical_sha256":"e40a4fb611683a600de4bc71992a372088a49bb1c58e01e78d54e1fc21e1f20f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e40a4fb611683a600de4bc71992a372088a49bb1c58e01e78d54e1fc21e1f20f","first_computed_at":"2026-05-18T01:18:13.732996Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:18:13.732996Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hpLoRyej1uF8j+wlMc9DvdPrWwLft/kZJEEpZQ8F12MWXOLO0SjcaWzq09VhAUH2oyu8JVm+Oi2yAHGaOUlVAg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:18:13.733686Z","signed_message":"canonical_sha256_bytes"},"source_id":"1603.00968","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a90cd1a675088718be4a915361972054530811900e990bf5bccd0d9cf08cbcc","sha256:d9059c935db572dcda7eb85048085b624d58cde7265d821bbe4c8088a82dc5f6"],"state_sha256":"475bcde71eb38db0764b5a06fa5449c92f6e3cb9848391e332718d11d55ebbb7"}