{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:44ITVJOEKT2T277EH2DJV2Q2WN","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":"cae25d9ae6e1920f60acbffad2a44b941622ae53bb95956f5b42c4e448a55235","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-06-07T08:25:51Z","title_canon_sha256":"11eb993643a0711faae660aa7d646c5544a2f986681f8a89ecf1ee0aaf20cfb7"},"schema_version":"1.0","source":{"id":"2306.04235","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.04235","created_at":"2026-07-05T06:18:27Z"},{"alias_kind":"arxiv_version","alias_value":"2306.04235v1","created_at":"2026-07-05T06:18:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.04235","created_at":"2026-07-05T06:18:27Z"},{"alias_kind":"pith_short_12","alias_value":"44ITVJOEKT2T","created_at":"2026-07-05T06:18:27Z"},{"alias_kind":"pith_short_16","alias_value":"44ITVJOEKT2T277E","created_at":"2026-07-05T06:18:27Z"},{"alias_kind":"pith_short_8","alias_value":"44ITVJOE","created_at":"2026-07-05T06:18:27Z"}],"graph_snapshots":[{"event_id":"sha256:14cb84c359e00e65f4c70875f81e85976dbc1a46c5b97b2fca514e87cecc5e2f","target":"graph","created_at":"2026-07-05T06:18:27Z","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/2306.04235/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deploying NMT models on mobile devices is essential for privacy, low latency, and offline scenarios. For high model capacity, NMT models are rather large. Running these models on devices is challenging with limited storage, memory, computation, and power consumption. Existing work either only focuses on a single metric such as FLOPs or general engine which is not good at auto-regressive decoding. In this paper, we present MobileNMT, a system that can translate in 15MB and 30ms on devices. We propose a series of principles for model compression when combined with quantization. Further, we imple","authors_text":"Jingbo Zhu, Mingxuan Wang, Tong Xiao, Xiaohui Wang, Ye Lin, Zhexi Zhang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-06-07T08:25:51Z","title":"MobileNMT: Enabling Translation in 15MB and 30ms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.04235","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":"sha256:434282d08a7b4d4c852e243238223c493643369cde0f1486a4678c84e8e832eb","target":"record","created_at":"2026-07-05T06:18:27Z","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":"cae25d9ae6e1920f60acbffad2a44b941622ae53bb95956f5b42c4e448a55235","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-06-07T08:25:51Z","title_canon_sha256":"11eb993643a0711faae660aa7d646c5544a2f986681f8a89ecf1ee0aaf20cfb7"},"schema_version":"1.0","source":{"id":"2306.04235","kind":"arxiv","version":1}},"canonical_sha256":"e7113aa5c454f53d7fe43e869aea1ab3580b6e7306f1383b28b98f2916d2a834","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7113aa5c454f53d7fe43e869aea1ab3580b6e7306f1383b28b98f2916d2a834","first_computed_at":"2026-07-05T06:18:27.513913Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:18:27.513913Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bQFgINujg/JqFD522cUzVDTq+rESl5p05xOK/x7Mgp916+LLnYhsOylwKcaR5rQoKwwNg5IEs7AAGwfzuc4kDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:18:27.514424Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.04235","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:434282d08a7b4d4c852e243238223c493643369cde0f1486a4678c84e8e832eb","sha256:14cb84c359e00e65f4c70875f81e85976dbc1a46c5b97b2fca514e87cecc5e2f"],"state_sha256":"f819973474a1e494a811e2992bd5492ae0122bf206f63fdf90a836759edceb10"}