{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:V37T566QQ2GDMXKMO2PR4CJKDW","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":"948e54b6a9107dcdd4a148870da77ae8b4d65561ab724d8571e9c7a6f74b41d5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-14T20:43:12Z","title_canon_sha256":"6ee6f7d36ef3358f380353fa781d2570cd8b1d6552be256e663f41742ac7de27"},"schema_version":"1.0","source":{"id":"2412.10960","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.10960","created_at":"2026-07-05T09:49:25Z"},{"alias_kind":"arxiv_version","alias_value":"2412.10960v1","created_at":"2026-07-05T09:49:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.10960","created_at":"2026-07-05T09:49:25Z"},{"alias_kind":"pith_short_12","alias_value":"V37T566QQ2GD","created_at":"2026-07-05T09:49:25Z"},{"alias_kind":"pith_short_16","alias_value":"V37T566QQ2GDMXKM","created_at":"2026-07-05T09:49:25Z"},{"alias_kind":"pith_short_8","alias_value":"V37T566Q","created_at":"2026-07-05T09:49:25Z"}],"graph_snapshots":[{"event_id":"sha256:990e7af829a6294ecb5b813599e87b50cb1828c414af9f98b0a0592445555bce","target":"graph","created_at":"2026-07-05T09:49:25Z","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/2412.10960/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Yes! In the present-day documenting and preserving endangered languages, the application of Large Language Models (LLMs) presents a promising approach. This paper explores how LLMs, particularly through in-context learning, can assist in generating grammatical information for low-resource languages with limited amount of data. We takes Moklen as a case study to evaluate the efficacy of LLMs in producing coherent grammatical rules and lexical entries using only bilingual dictionaries and parallel sentences of the unknown language without building the model from scratch. Our methodology involves","authors_text":"Nanthipat Kongborrirak, Piyapath T Spencer","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-14T20:43:12Z","title":"Can LLMs Help Create Grammar?: Automating Grammar Creation for Endangered Languages with In-Context Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.10960","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":"sha256:859d8b86c6ec80a8ae6afcaa2e29b7ecc467b162c89e78598e60c10511221c01","target":"record","created_at":"2026-07-05T09:49:25Z","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":"948e54b6a9107dcdd4a148870da77ae8b4d65561ab724d8571e9c7a6f74b41d5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-14T20:43:12Z","title_canon_sha256":"6ee6f7d36ef3358f380353fa781d2570cd8b1d6552be256e663f41742ac7de27"},"schema_version":"1.0","source":{"id":"2412.10960","kind":"arxiv","version":1}},"canonical_sha256":"aeff3efbd0868c365d4c769f1e092a1d83163f234983569d80e56c744fd8b1ed","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aeff3efbd0868c365d4c769f1e092a1d83163f234983569d80e56c744fd8b1ed","first_computed_at":"2026-07-05T09:49:25.069011Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:49:25.069011Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mqMnw+yNpos+NB+naf1SLhIy+l+HNJbHCY1No8O0ay5mAmTdOXKKQ3Ee/MOeQX8Fk697pE83q/wmUTpZ7mhtCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:49:25.069490Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.10960","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:859d8b86c6ec80a8ae6afcaa2e29b7ecc467b162c89e78598e60c10511221c01","sha256:990e7af829a6294ecb5b813599e87b50cb1828c414af9f98b0a0592445555bce"],"state_sha256":"8ac970d368b17f44961268fd8b4bb1503befcdb2c7f211f8253460b6fffe8e23"}