{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:J4SLE43ODCP5LF7UVJ5LNNZOKX","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":"c53899d5f39152bbc289b4782602021cffcca7032cc4b8791d22b4a3324693f4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-18T17:43:47Z","title_canon_sha256":"f7a82d4b0eaced5a104d73001c1a7ae32ac1ac6e05cbc791b0608083ed209b04"},"schema_version":"1.0","source":{"id":"2406.12822","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.12822","created_at":"2026-07-05T09:12:07Z"},{"alias_kind":"arxiv_version","alias_value":"2406.12822v3","created_at":"2026-07-05T09:12:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.12822","created_at":"2026-07-05T09:12:07Z"},{"alias_kind":"pith_short_12","alias_value":"J4SLE43ODCP5","created_at":"2026-07-05T09:12:07Z"},{"alias_kind":"pith_short_16","alias_value":"J4SLE43ODCP5LF7U","created_at":"2026-07-05T09:12:07Z"},{"alias_kind":"pith_short_8","alias_value":"J4SLE43O","created_at":"2026-07-05T09:12:07Z"}],"graph_snapshots":[{"event_id":"sha256:80a5413f11cacca2be84d11995ad09d9982763fa04555c0b88ed24e392b5bb11","target":"graph","created_at":"2026-07-05T09:12:07Z","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/2406.12822/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multilingual large language models are designed, claimed, and expected to cater to speakers of varied languages. We hypothesise that the current practices of fine-tuning and evaluating these models may not perfectly align with this objective owing to a heavy reliance on translation, which cannot cover language-specific knowledge but can introduce translation defects. It remains unknown whether the nature of the instruction data has an impact on the model output; conversely, it is questionable whether translated test sets can capture such nuances. Due to the often coupled practices of using tra","authors_text":"Barry Haddow, Pinzhen Chen, Simon Yu, Zhicheng Guo","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-18T17:43:47Z","title":"Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.12822","kind":"arxiv","version":3},"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":"sha256:8096448458c57b6bac19c5681075d08f552f42be9d02de4a267bbbc66475ef6f","target":"record","created_at":"2026-07-05T09:12:07Z","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":"c53899d5f39152bbc289b4782602021cffcca7032cc4b8791d22b4a3324693f4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-18T17:43:47Z","title_canon_sha256":"f7a82d4b0eaced5a104d73001c1a7ae32ac1ac6e05cbc791b0608083ed209b04"},"schema_version":"1.0","source":{"id":"2406.12822","kind":"arxiv","version":3}},"canonical_sha256":"4f24b2736e189fd597f4aa7ab6b72e55d80ddb2d05dd5d78d21d1da1e37552dc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f24b2736e189fd597f4aa7ab6b72e55d80ddb2d05dd5d78d21d1da1e37552dc","first_computed_at":"2026-07-05T09:12:07.493978Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:12:07.493978Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AQxzLkNxpWRxAEVm8jGX+kN12Gy462d3UPgKVijeCdlJnwqhCi5v0MKbQwj+TXRY3BEMkx1zSadxPVkyJTOMDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:12:07.494464Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.12822","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8096448458c57b6bac19c5681075d08f552f42be9d02de4a267bbbc66475ef6f","sha256:80a5413f11cacca2be84d11995ad09d9982763fa04555c0b88ed24e392b5bb11"],"state_sha256":"b66565b6c35b844d950bdc12b32c2b5bc9f2bc8562d043933c1cd74881b5aabf"}