{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:D7DPK2NNP75IFZ2YVM2EMBER5Y","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":"9af55e94dc6d9d8fabbe41bd90a9250bcf017d7ffd3edcf77ef2f85fa3ed0929","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-07T16:35:53Z","title_canon_sha256":"ecbe03c3e25b7c3ee78ee4078fc4ce4a30efc2d3f733955c2d36b87b775523bd"},"schema_version":"1.0","source":{"id":"1911.02972","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.02972","created_at":"2026-07-05T01:48:07Z"},{"alias_kind":"arxiv_version","alias_value":"1911.02972v2","created_at":"2026-07-05T01:48:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.02972","created_at":"2026-07-05T01:48:07Z"},{"alias_kind":"pith_short_12","alias_value":"D7DPK2NNP75I","created_at":"2026-07-05T01:48:07Z"},{"alias_kind":"pith_short_16","alias_value":"D7DPK2NNP75IFZ2Y","created_at":"2026-07-05T01:48:07Z"},{"alias_kind":"pith_short_8","alias_value":"D7DPK2NN","created_at":"2026-07-05T01:48:07Z"}],"graph_snapshots":[{"event_id":"sha256:039792269d01c9c59a2608833f5fac7ef94c3fc36cf6901fe6944b010d300f72","target":"graph","created_at":"2026-07-05T01:48:07Z","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/1911.02972/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present BlockBERT, a lightweight and efficient BERT model for better modeling long-distance dependencies. Our model extends BERT by introducing sparse block structures into the attention matrix to reduce both memory consumption and training/inference time, which also enables attention heads to capture either short- or long-range contextual information. We conduct experiments on language model pre-training and several benchmark question answering datasets with various paragraph lengths. BlockBERT uses 18.7-36.1% less memory and 12.0-25.1% less time to learn the model. During testing, BlockBE","authors_text":"Hao Ma, Jie Tang, Jiezhong Qiu, Omer Levy, Scott Wen-tau Yih, Sinong Wang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-07T16:35:53Z","title":"Blockwise Self-Attention for Long Document Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.02972","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":"sha256:6ddec6cac33d1e41286a9811c563a2bf762795fbd8e0d4b2df46f0df503f8409","target":"record","created_at":"2026-07-05T01:48:07Z","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":"9af55e94dc6d9d8fabbe41bd90a9250bcf017d7ffd3edcf77ef2f85fa3ed0929","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-11-07T16:35:53Z","title_canon_sha256":"ecbe03c3e25b7c3ee78ee4078fc4ce4a30efc2d3f733955c2d36b87b775523bd"},"schema_version":"1.0","source":{"id":"1911.02972","kind":"arxiv","version":2}},"canonical_sha256":"1fc6f569ad7ffa82e758ab34460491ee1d34b51dc5971d49cba3a26e77752a96","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1fc6f569ad7ffa82e758ab34460491ee1d34b51dc5971d49cba3a26e77752a96","first_computed_at":"2026-07-05T01:48:07.048048Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:48:07.048048Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IcCwghXSjuypxmfNp/F+NfCvoyX90hzvnagBUh1dW+nAlicmzsVBiG1M7r3BFkzhRIcTGMGn0EoEp2rOhWujCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:48:07.048555Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.02972","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6ddec6cac33d1e41286a9811c563a2bf762795fbd8e0d4b2df46f0df503f8409","sha256:039792269d01c9c59a2608833f5fac7ef94c3fc36cf6901fe6944b010d300f72"],"state_sha256":"d2086b529cd03c28b0fee2fd358ae61dd9105fb1b5ec6d348953de84413f9c91"}