{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:3263MCXKY2OUPCEEGREYVTS2RB","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":"d456be8d79d28d5f1a842fe553cc840b7f26ff0254c93b89965e8451158cc269","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2021-10-13T15:08:43Z","title_canon_sha256":"30b2790fd639a03addba721752cc7a20c774561e8719028cc545fc4a62313632"},"schema_version":"1.0","source":{"id":"2110.06773","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.06773","created_at":"2026-07-05T03:57:28Z"},{"alias_kind":"arxiv_version","alias_value":"2110.06773v2","created_at":"2026-07-05T03:57:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.06773","created_at":"2026-07-05T03:57:28Z"},{"alias_kind":"pith_short_12","alias_value":"3263MCXKY2OU","created_at":"2026-07-05T03:57:28Z"},{"alias_kind":"pith_short_16","alias_value":"3263MCXKY2OUPCEE","created_at":"2026-07-05T03:57:28Z"},{"alias_kind":"pith_short_8","alias_value":"3263MCXK","created_at":"2026-07-05T03:57:28Z"}],"graph_snapshots":[{"event_id":"sha256:2bcf2e8ea1a9c4be147ab49a19c311a5f001a690c499f9ea252f7449d2ce1d84","target":"graph","created_at":"2026-07-05T03:57:28Z","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/2110.06773/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With little to no parallel data available for programming languages, unsupervised methods are well-suited to source code translation. However, the majority of unsupervised machine translation approaches rely on back-translation, a method developed in the context of natural language translation and one that inherently involves training on noisy inputs. Unfortunately, source code is highly sensitive to small changes; a single token can result in compilation failures or erroneous programs, unlike natural languages where small inaccuracies may not change the meaning of a sentence. To address this ","authors_text":"Baptiste Roziere, Francois Charton, Gabriel Synnaeve, Guillaume Lample, Jie M. Zhang, Mark Harman","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2021-10-13T15:08:43Z","title":"Leveraging Automated Unit Tests for Unsupervised Code Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.06773","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":"sha256:9d6a3bf1fb99586dd5b171831680a82e04117c39aac50a1b93b07dca01dbfb54","target":"record","created_at":"2026-07-05T03:57:28Z","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":"d456be8d79d28d5f1a842fe553cc840b7f26ff0254c93b89965e8451158cc269","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2021-10-13T15:08:43Z","title_canon_sha256":"30b2790fd639a03addba721752cc7a20c774561e8719028cc545fc4a62313632"},"schema_version":"1.0","source":{"id":"2110.06773","kind":"arxiv","version":2}},"canonical_sha256":"debdb60aeac69d47888434498ace5a884a967198d00d2fbee6854ce2ab5661f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"debdb60aeac69d47888434498ace5a884a967198d00d2fbee6854ce2ab5661f9","first_computed_at":"2026-07-05T03:57:28.923103Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:57:28.923103Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dURmsuWG+4FFOSH8MjNxzx7Dt49/GNTa8XP3+uqL3aVHHW1mFkJsnf+XxxQfeBVFaZaifNPdUw9BAWVqmkKlCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:57:28.923604Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.06773","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9d6a3bf1fb99586dd5b171831680a82e04117c39aac50a1b93b07dca01dbfb54","sha256:2bcf2e8ea1a9c4be147ab49a19c311a5f001a690c499f9ea252f7449d2ce1d84"],"state_sha256":"4803c34315c7ac5a25a06b61c606a6ba6d707f781f00e15733a207d2042c153a"}