{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:EL6XIYA75RZQBT4477BK6YGNT7","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":"79fb0e007cfd2eebcff18ebe93cab3ef869ba7f7f99c90e4fc3c295174377fb1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2021-01-07T14:51:26Z","title_canon_sha256":"97b38a35a97e96c7974de6860d17610002c03a70c94aafdb0bf37df8f52963d6"},"schema_version":"1.0","source":{"id":"2101.03967","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.03967","created_at":"2026-07-05T02:05:56Z"},{"alias_kind":"arxiv_version","alias_value":"2101.03967v1","created_at":"2026-07-05T02:05:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.03967","created_at":"2026-07-05T02:05:56Z"},{"alias_kind":"pith_short_12","alias_value":"EL6XIYA75RZQ","created_at":"2026-07-05T02:05:56Z"},{"alias_kind":"pith_short_16","alias_value":"EL6XIYA75RZQBT44","created_at":"2026-07-05T02:05:56Z"},{"alias_kind":"pith_short_8","alias_value":"EL6XIYA7","created_at":"2026-07-05T02:05:56Z"}],"graph_snapshots":[{"event_id":"sha256:b1ac9ddf8e484c17ef9c70e49296abc99cd6ce8d3b02c35cae75d8779a868a60","target":"graph","created_at":"2026-07-05T02:05:56Z","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/2101.03967/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the increasing number of mobile devices, there has been continuous research on generating optimized Language Models (LMs) for soft keyboard. In spite of advances in this domain, building a single LM for low-end feature phones as well as high-end smartphones is still a pressing need. Hence, we propose a novel technique, Optimized N-gram (Op-Ngram), an end-to-end N-gram pipeline that utilises mobile resources efficiently for faster Word Completion (WC) and Next Word Prediction (NWP). Op-Ngram applies Stupid Backoff and pruning strategies to generate a light-weight model. The LM loading time","authors_text":"Ajay Kumar Mishra, Bhargavi M, Muthu Kumaran, Prakhar Kulshreshtha, Sharmila Mani, Sourabh Vasant Gothe, Sourav Ghosh","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2021-01-07T14:51:26Z","title":"Real-Time Optimized N-gram For Mobile Devices"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.03967","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":"sha256:32e4a436011669f9f1e96f8d8b5841724d3c3a976b9f6d8a0e728fdcd7002950","target":"record","created_at":"2026-07-05T02:05:56Z","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":"79fb0e007cfd2eebcff18ebe93cab3ef869ba7f7f99c90e4fc3c295174377fb1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2021-01-07T14:51:26Z","title_canon_sha256":"97b38a35a97e96c7974de6860d17610002c03a70c94aafdb0bf37df8f52963d6"},"schema_version":"1.0","source":{"id":"2101.03967","kind":"arxiv","version":1}},"canonical_sha256":"22fd74601fec7300cf9cffc2af60cd9ffc34e362c5b55183c2aff5c76fbd17ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"22fd74601fec7300cf9cffc2af60cd9ffc34e362c5b55183c2aff5c76fbd17ab","first_computed_at":"2026-07-05T02:05:56.038734Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:05:56.038734Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"j9hKEVzJEppoTmP01fWlUU3AdiKkGlSAGUgAHj/4UVCZfjV3K8te8/GIHuac+hm3BSmDLAbwymnC1U9FNyw0Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:05:56.039210Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.03967","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:32e4a436011669f9f1e96f8d8b5841724d3c3a976b9f6d8a0e728fdcd7002950","sha256:b1ac9ddf8e484c17ef9c70e49296abc99cd6ce8d3b02c35cae75d8779a868a60"],"state_sha256":"d4be6ad0b2ebdd5a7b9420cd2ed5e1014d6deffec50f170903a058278ce48636"}