{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PVRSATCQ4GVGWLAU2Z5NJC6PGD","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":"e82c98a7ae8d79e7cc2962950eba777bad7f0feb8c05e7d5f1733630d77bf2f9","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-01-08T20:44:28Z","title_canon_sha256":"18a94cfbe5011e7e8c9adf5e4033e1d599b6eb03fc2dc23e52b40093adc3f4ca"},"schema_version":"1.0","source":{"id":"2601.05366","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.05366","created_at":"2026-06-30T01:17:32Z"},{"alias_kind":"arxiv_version","alias_value":"2601.05366v2","created_at":"2026-06-30T01:17:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.05366","created_at":"2026-06-30T01:17:32Z"},{"alias_kind":"pith_short_12","alias_value":"PVRSATCQ4GVG","created_at":"2026-06-30T01:17:32Z"},{"alias_kind":"pith_short_16","alias_value":"PVRSATCQ4GVGWLAU","created_at":"2026-06-30T01:17:32Z"},{"alias_kind":"pith_short_8","alias_value":"PVRSATCQ","created_at":"2026-06-30T01:17:32Z"}],"graph_snapshots":[{"event_id":"sha256:6f69737c93c63853a1f96cb3122eb4427333d2abfcf665668484c8584d88dcce","target":"graph","created_at":"2026-06-30T01:17:32Z","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/2601.05366/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) are increasingly deployed as agents that invoke external tools through structured function calls. While recent work reports strong tool-calling performance under standard English-centric evaluations, the robustness of tool calling under multilingual user interactions remains underexplored. In this work, we introduce MLCL, a diagnostic benchmark, and conduct a systematic evaluation of multilingual tool calling across Chinese, Hindi, and the low-resource language Igbo. Through fine-grained error analysis, we show that many failures occur despite correct intent unders","authors_text":"Hua Wei, Ogochukwu N Okoani, T Pranav Kutralingam, Wanpeng Xu, Xiyang Hu, Zheng Luo","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-01-08T20:44:28Z","title":"Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.05366","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:d9f42c83bd55648326b9c61a453c061c9d3091d3866b95d05bffcd9a6f7ebaaf","target":"record","created_at":"2026-06-30T01:17:32Z","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":"e82c98a7ae8d79e7cc2962950eba777bad7f0feb8c05e7d5f1733630d77bf2f9","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-01-08T20:44:28Z","title_canon_sha256":"18a94cfbe5011e7e8c9adf5e4033e1d599b6eb03fc2dc23e52b40093adc3f4ca"},"schema_version":"1.0","source":{"id":"2601.05366","kind":"arxiv","version":2}},"canonical_sha256":"7d63204c50e1aa6b2c14d67ad48bcf30dc28a3cbc4551354453f5eb64e843856","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7d63204c50e1aa6b2c14d67ad48bcf30dc28a3cbc4551354453f5eb64e843856","first_computed_at":"2026-06-30T01:17:32.377960Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T01:17:32.377960Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WsI2JxCMACvFPQNgQo72rcLJ0rrUWjolB3pSfML7U9YWflgZiqEB7liu17jifdcr4z6iZQuMh7bz3RqFt2PWBg==","signature_status":"signed_v1","signed_at":"2026-06-30T01:17:32.378900Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.05366","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d9f42c83bd55648326b9c61a453c061c9d3091d3866b95d05bffcd9a6f7ebaaf","sha256:6f69737c93c63853a1f96cb3122eb4427333d2abfcf665668484c8584d88dcce"],"state_sha256":"0a2ef89bb8fd2844c1efae979fad2af62ceeeeb89c1e598539ac12bbf1b94b18"}