{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:VFO27VEDWT2X7T7CEOWMM2NKEC","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":"07470941c9bd499d260332b7fa46df5ae5a125747addf4425e38abe743e1075d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-05-14T07:32:53Z","title_canon_sha256":"42693619a250aea08ef96e42dd42547aae428204222d28090d082cb42854c595"},"schema_version":"1.0","source":{"id":"2105.06679","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.06679","created_at":"2026-07-05T04:05:58Z"},{"alias_kind":"arxiv_version","alias_value":"2105.06679v2","created_at":"2026-07-05T04:05:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.06679","created_at":"2026-07-05T04:05:58Z"},{"alias_kind":"pith_short_12","alias_value":"VFO27VEDWT2X","created_at":"2026-07-05T04:05:58Z"},{"alias_kind":"pith_short_16","alias_value":"VFO27VEDWT2X7T7C","created_at":"2026-07-05T04:05:58Z"},{"alias_kind":"pith_short_8","alias_value":"VFO27VED","created_at":"2026-07-05T04:05:58Z"}],"graph_snapshots":[{"event_id":"sha256:d085db7fbeaa17d0aeca9bd4d78e2be11db1fbc4d2d6dcf4b334020d98065c5c","target":"graph","created_at":"2026-07-05T04:05:58Z","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/2105.06679/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the rapid development of artificial intelligence (AI), there is a trend in moving AI applications, such as neural machine translation (NMT), from cloud to mobile devices. Constrained by limited hardware resources and battery, the performance of on-device NMT systems is far from satisfactory. Inspired by conditional computation, we propose to improve the performance of on-device NMT systems with dynamic multi-branch layers. Specifically, we design a layer-wise dynamic multi-branch network with only one branch activated during training and inference. As not all branches are activated during","authors_text":"Maosong Sun, Meng Zhang, Qun Liu, Yang Liu, Zeyuan Yang, Zhixing Tan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-05-14T07:32:53Z","title":"Dynamic Multi-Branch Layers for On-Device Neural Machine Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.06679","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":"sha256:1c405d234850d5b67fe67d4c102433efe71f2f9857da3caced2406b8792d7f16","target":"record","created_at":"2026-07-05T04:05:58Z","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":"07470941c9bd499d260332b7fa46df5ae5a125747addf4425e38abe743e1075d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-05-14T07:32:53Z","title_canon_sha256":"42693619a250aea08ef96e42dd42547aae428204222d28090d082cb42854c595"},"schema_version":"1.0","source":{"id":"2105.06679","kind":"arxiv","version":2}},"canonical_sha256":"a95dafd483b4f57fcfe223acc669aa208e818fd5a9c7d54d1d29fba8344cb07b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a95dafd483b4f57fcfe223acc669aa208e818fd5a9c7d54d1d29fba8344cb07b","first_computed_at":"2026-07-05T04:05:58.459824Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:05:58.459824Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o+jdiEWtcYLmicCKj1fQyuy3EqXFq2frw7oeGsYV69I24YxuE9iP/RoY+tLRTva2hskTWkD9VtqrOg7aOKudDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:05:58.460235Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.06679","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c405d234850d5b67fe67d4c102433efe71f2f9857da3caced2406b8792d7f16","sha256:d085db7fbeaa17d0aeca9bd4d78e2be11db1fbc4d2d6dcf4b334020d98065c5c"],"state_sha256":"00c7667d3efcfa1db3905100646ee55ce33e3b4010821df131dd82cd197de76e"}