{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:IJXW5JE5XPPRPDEQU2EU5QTT6B","short_pith_number":"pith:IJXW5JE5","schema_version":"1.0","canonical_sha256":"426f6ea49dbbdf178c90a6894ec273f04c64a7c7972f2b91b277cce271624f62","source":{"kind":"arxiv","id":"2312.04649","version":1},"attestation_state":"computed","paper":{"title":"PyThaiNLP: Thai Natural Language Processing in Python","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Arthit Suriyawongkul, Can Udomcharoenchaikit, Charin Polpanumas, Korakot Chaovavanich, Lalita Lowphansirikul, Pattarawat Chormai, Peerat Limkonchotiwat, Thanathip Suntorntip, Wannaphong Phatthiyaphaibun","submitted_at":"2023-12-07T19:19:43Z","abstract_excerpt":"We present PyThaiNLP, a free and open-source natural language processing (NLP) library for Thai language implemented in Python. It provides a wide range of software, models, and datasets for Thai language. We first provide a brief historical context of tools for Thai language prior to the development of PyThaiNLP. We then outline the functionalities it provided as well as datasets and pre-trained language models. We later summarize its development milestones and discuss our experience during its development. We conclude by demonstrating how industrial and research communities utilize PyThaiNLP"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2312.04649","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-07T19:19:43Z","cross_cats_sorted":[],"title_canon_sha256":"50256a4f71a09cd46b3c098ebc4925e5c5fbb85bc08cabe84f21d97efc5bfcf0","abstract_canon_sha256":"cdf432f343f8c2bae31e70c8c0cc44239a1250a5187853ab60f99219b7666906"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:53:08.895350Z","signature_b64":"avabxKaMGux5Jt0sxmoATWk/ik3U111urHnanYLpWpZOhUgBhyow/kAa9HorLiIwZzryWScY+jDxDxbpeqbBAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"426f6ea49dbbdf178c90a6894ec273f04c64a7c7972f2b91b277cce271624f62","last_reissued_at":"2026-07-05T10:53:08.894837Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:53:08.894837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PyThaiNLP: Thai Natural Language Processing in Python","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Arthit Suriyawongkul, Can Udomcharoenchaikit, Charin Polpanumas, Korakot Chaovavanich, Lalita Lowphansirikul, Pattarawat Chormai, Peerat Limkonchotiwat, Thanathip Suntorntip, Wannaphong Phatthiyaphaibun","submitted_at":"2023-12-07T19:19:43Z","abstract_excerpt":"We present PyThaiNLP, a free and open-source natural language processing (NLP) library for Thai language implemented in Python. It provides a wide range of software, models, and datasets for Thai language. We first provide a brief historical context of tools for Thai language prior to the development of PyThaiNLP. We then outline the functionalities it provided as well as datasets and pre-trained language models. We later summarize its development milestones and discuss our experience during its development. We conclude by demonstrating how industrial and research communities utilize PyThaiNLP"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.04649","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2312.04649/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2312.04649","created_at":"2026-07-05T10:53:08.894895+00:00"},{"alias_kind":"arxiv_version","alias_value":"2312.04649v1","created_at":"2026-07-05T10:53:08.894895+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.04649","created_at":"2026-07-05T10:53:08.894895+00:00"},{"alias_kind":"pith_short_12","alias_value":"IJXW5JE5XPPR","created_at":"2026-07-05T10:53:08.894895+00:00"},{"alias_kind":"pith_short_16","alias_value":"IJXW5JE5XPPRPDEQ","created_at":"2026-07-05T10:53:08.894895+00:00"},{"alias_kind":"pith_short_8","alias_value":"IJXW5JE5","created_at":"2026-07-05T10:53:08.894895+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/IJXW5JE5XPPRPDEQU2EU5QTT6B","json":"https://pith.science/pith/IJXW5JE5XPPRPDEQU2EU5QTT6B.json","graph_json":"https://pith.science/api/pith-number/IJXW5JE5XPPRPDEQU2EU5QTT6B/graph.json","events_json":"https://pith.science/api/pith-number/IJXW5JE5XPPRPDEQU2EU5QTT6B/events.json","paper":"https://pith.science/paper/IJXW5JE5"},"agent_actions":{"view_html":"https://pith.science/pith/IJXW5JE5XPPRPDEQU2EU5QTT6B","download_json":"https://pith.science/pith/IJXW5JE5XPPRPDEQU2EU5QTT6B.json","view_paper":"https://pith.science/paper/IJXW5JE5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2312.04649&json=true","fetch_graph":"https://pith.science/api/pith-number/IJXW5JE5XPPRPDEQU2EU5QTT6B/graph.json","fetch_events":"https://pith.science/api/pith-number/IJXW5JE5XPPRPDEQU2EU5QTT6B/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IJXW5JE5XPPRPDEQU2EU5QTT6B/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IJXW5JE5XPPRPDEQU2EU5QTT6B/action/storage_attestation","attest_author":"https://pith.science/pith/IJXW5JE5XPPRPDEQU2EU5QTT6B/action/author_attestation","sign_citation":"https://pith.science/pith/IJXW5JE5XPPRPDEQU2EU5QTT6B/action/citation_signature","submit_replication":"https://pith.science/pith/IJXW5JE5XPPRPDEQU2EU5QTT6B/action/replication_record"}},"created_at":"2026-07-05T10:53:08.894895+00:00","updated_at":"2026-07-05T10:53:08.894895+00:00"}