{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:2LANJRY3MSVA6K5J5SXXDPNBOT","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":"bd0e2fd8799b0981008c2f2ac9fdaf5913f3a3f5219a0dee8d252d4256c32280","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-06-25T13:30:29Z","title_canon_sha256":"80b81ca26c33e7249a656c6b095ffdfc3f7f8e9e18957cbe1ad41dd1ce4cb516"},"schema_version":"1.0","source":{"id":"2106.13627","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.13627","created_at":"2026-07-05T02:52:24Z"},{"alias_kind":"arxiv_version","alias_value":"2106.13627v1","created_at":"2026-07-05T02:52:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.13627","created_at":"2026-07-05T02:52:24Z"},{"alias_kind":"pith_short_12","alias_value":"2LANJRY3MSVA","created_at":"2026-07-05T02:52:24Z"},{"alias_kind":"pith_short_16","alias_value":"2LANJRY3MSVA6K5J","created_at":"2026-07-05T02:52:24Z"},{"alias_kind":"pith_short_8","alias_value":"2LANJRY3","created_at":"2026-07-05T02:52:24Z"}],"graph_snapshots":[{"event_id":"sha256:ab6e4908efbced6439a78d6476b9d8014bb679a2443fd928fef300d02149a573","target":"graph","created_at":"2026-07-05T02:52:24Z","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/2106.13627/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent years have witnessed the rapid advance in neural machine translation (NMT), the core of which lies in the encoder-decoder architecture. Inspired by the recent progress of large-scale pre-trained language models on machine translation in a limited scenario, we firstly demonstrate that a single language model (LM4MT) can achieve comparable performance with strong encoder-decoder NMT models on standard machine translation benchmarks, using the same training data and similar amount of model parameters. LM4MT can also easily utilize source-side texts as additional supervision. Though modelin","authors_text":"Maosong Sun, Shuo Wang, Wenxuan Wang, Yang Liu, Zhaopeng Tu, Zhixing Tan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-06-25T13:30:29Z","title":"Language Models are Good Translators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.13627","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":"sha256:457fa5b7dfb705e957788515e6ed4612bc0e2e2ef1defe80731ecc7e06d87da0","target":"record","created_at":"2026-07-05T02:52:24Z","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":"bd0e2fd8799b0981008c2f2ac9fdaf5913f3a3f5219a0dee8d252d4256c32280","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-06-25T13:30:29Z","title_canon_sha256":"80b81ca26c33e7249a656c6b095ffdfc3f7f8e9e18957cbe1ad41dd1ce4cb516"},"schema_version":"1.0","source":{"id":"2106.13627","kind":"arxiv","version":1}},"canonical_sha256":"d2c0d4c71b64aa0f2ba9ecaf71bda174d77939caafddb7b9c7cc26c25f5a9ecb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d2c0d4c71b64aa0f2ba9ecaf71bda174d77939caafddb7b9c7cc26c25f5a9ecb","first_computed_at":"2026-07-05T02:52:24.274034Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:52:24.274034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lZizgi6Ty5VMfn/HRdvaVrk35jYUh5xb+cAg6DVLPRmh+5oTPp2qkSN+mtPEx6CvCC34p8MRa2697escazJcBw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:52:24.274544Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.13627","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:457fa5b7dfb705e957788515e6ed4612bc0e2e2ef1defe80731ecc7e06d87da0","sha256:ab6e4908efbced6439a78d6476b9d8014bb679a2443fd928fef300d02149a573"],"state_sha256":"2c8dfdf441e04187758d0ba7e8921fbfea0f6ae3d296b4ab8ad5cfd46728a2b7"}