{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6VVAI3M7EUTID32OVPDFQ3PQOK","short_pith_number":"pith:6VVAI3M7","canonical_record":{"source":{"id":"2411.07238","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-11T18:58:46Z","cross_cats_sorted":[],"title_canon_sha256":"bc1d58c545cf5f36b1ad94796b6081697f34280568b39971e7c86f8aa95fdfb0","abstract_canon_sha256":"b1b3bc4a2aee5f4d2ac51c05ede09dd9d1915b870d0dbc5a665664f2e219f30c"},"schema_version":"1.0"},"canonical_sha256":"f56a046d9f252681ef4eabc6586df072a89302f11e8746f8bd8127a7dc15514c","source":{"kind":"arxiv","id":"2411.07238","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.07238","created_at":"2026-07-05T10:19:31Z"},{"alias_kind":"arxiv_version","alias_value":"2411.07238v2","created_at":"2026-07-05T10:19:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.07238","created_at":"2026-07-05T10:19:31Z"},{"alias_kind":"pith_short_12","alias_value":"6VVAI3M7EUTI","created_at":"2026-07-05T10:19:31Z"},{"alias_kind":"pith_short_16","alias_value":"6VVAI3M7EUTID32O","created_at":"2026-07-05T10:19:31Z"},{"alias_kind":"pith_short_8","alias_value":"6VVAI3M7","created_at":"2026-07-05T10:19:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6VVAI3M7EUTID32OVPDFQ3PQOK","target":"record","payload":{"canonical_record":{"source":{"id":"2411.07238","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-11T18:58:46Z","cross_cats_sorted":[],"title_canon_sha256":"bc1d58c545cf5f36b1ad94796b6081697f34280568b39971e7c86f8aa95fdfb0","abstract_canon_sha256":"b1b3bc4a2aee5f4d2ac51c05ede09dd9d1915b870d0dbc5a665664f2e219f30c"},"schema_version":"1.0"},"canonical_sha256":"f56a046d9f252681ef4eabc6586df072a89302f11e8746f8bd8127a7dc15514c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:19:31.066905Z","signature_b64":"FPCECxqbbvGGNilNZygINeyCf/rtGXYDHKSYGt9TFSoIVtO/wlyg1YE+X7JiZvZXyIVFTY43V4B3bEHfr2XDBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f56a046d9f252681ef4eabc6586df072a89302f11e8746f8bd8127a7dc15514c","last_reissued_at":"2026-07-05T10:19:31.066402Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:19:31.066402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.07238","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:19:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3KUXwhTd1JmVjnVfm/CKWBM7xshkL2xUb0nz06ZIdbAqQsPwoQqR6+72hf32fvQdp0Sw6I66lxW+WzcSaQl5Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T01:46:48.256988Z"},"content_sha256":"854630234a0f657ad76059eb3606a2c331860bfc35fea13a7368d5ec4056865e","schema_version":"1.0","event_id":"sha256:854630234a0f657ad76059eb3606a2c331860bfc35fea13a7368d5ec4056865e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6VVAI3M7EUTID32OVPDFQ3PQOK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OpenThaiGPT 1.5: A Thai-Centric Open Source Large Language Model","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Apivadee Piyatumrong, Jillaphat Jaroenkantasima, Kobkrit Viriyayudhakorn, Sumeth Yuenyong","submitted_at":"2024-11-11T18:58:46Z","abstract_excerpt":"OpenThaiGPT 1.5 is an advanced Thai language chat model based on Qwen v2.5, finetuned on over 2,000,000 Thai instruction pairs. This report provides an engineering perspective on the model's development, capabilities, and performance. We discuss the model's architecture, training process, and key features, including multi-turn conversation support, Retrieval Augmented Generation (RAG) compatibility, and tool-calling functionality. Benchmark results demonstrate OpenThaiGPT 1.5's state-of-the-art performance on various Thai language tasks, outperforming other open-source Thai language models. We"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.07238","kind":"arxiv","version":2},"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/2411.07238/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:19:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GHJw9JgUzJPgy/0MIhDZr1CmLk86ewe6O/ZyHqmWnmCBn9w1DDlh3/tE3pXljWDn/Yv7kOqWdN3iLLf4t4rPAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T01:46:48.257715Z"},"content_sha256":"2edd97ec023f7bf873d10bacd046b472b54d060bb2e692046815a5e8b44fb881","schema_version":"1.0","event_id":"sha256:2edd97ec023f7bf873d10bacd046b472b54d060bb2e692046815a5e8b44fb881"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6VVAI3M7EUTID32OVPDFQ3PQOK/bundle.json","state_url":"https://pith.science/pith/6VVAI3M7EUTID32OVPDFQ3PQOK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6VVAI3M7EUTID32OVPDFQ3PQOK/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-11T01:46:48Z","links":{"resolver":"https://pith.science/pith/6VVAI3M7EUTID32OVPDFQ3PQOK","bundle":"https://pith.science/pith/6VVAI3M7EUTID32OVPDFQ3PQOK/bundle.json","state":"https://pith.science/pith/6VVAI3M7EUTID32OVPDFQ3PQOK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6VVAI3M7EUTID32OVPDFQ3PQOK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6VVAI3M7EUTID32OVPDFQ3PQOK","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":"b1b3bc4a2aee5f4d2ac51c05ede09dd9d1915b870d0dbc5a665664f2e219f30c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-11T18:58:46Z","title_canon_sha256":"bc1d58c545cf5f36b1ad94796b6081697f34280568b39971e7c86f8aa95fdfb0"},"schema_version":"1.0","source":{"id":"2411.07238","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.07238","created_at":"2026-07-05T10:19:31Z"},{"alias_kind":"arxiv_version","alias_value":"2411.07238v2","created_at":"2026-07-05T10:19:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.07238","created_at":"2026-07-05T10:19:31Z"},{"alias_kind":"pith_short_12","alias_value":"6VVAI3M7EUTI","created_at":"2026-07-05T10:19:31Z"},{"alias_kind":"pith_short_16","alias_value":"6VVAI3M7EUTID32O","created_at":"2026-07-05T10:19:31Z"},{"alias_kind":"pith_short_8","alias_value":"6VVAI3M7","created_at":"2026-07-05T10:19:31Z"}],"graph_snapshots":[{"event_id":"sha256:2edd97ec023f7bf873d10bacd046b472b54d060bb2e692046815a5e8b44fb881","target":"graph","created_at":"2026-07-05T10:19:31Z","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/2411.07238/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"OpenThaiGPT 1.5 is an advanced Thai language chat model based on Qwen v2.5, finetuned on over 2,000,000 Thai instruction pairs. This report provides an engineering perspective on the model's development, capabilities, and performance. We discuss the model's architecture, training process, and key features, including multi-turn conversation support, Retrieval Augmented Generation (RAG) compatibility, and tool-calling functionality. Benchmark results demonstrate OpenThaiGPT 1.5's state-of-the-art performance on various Thai language tasks, outperforming other open-source Thai language models. We","authors_text":"Apivadee Piyatumrong, Jillaphat Jaroenkantasima, Kobkrit Viriyayudhakorn, Sumeth Yuenyong","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-11T18:58:46Z","title":"OpenThaiGPT 1.5: A Thai-Centric Open Source Large Language Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.07238","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":"sha256:854630234a0f657ad76059eb3606a2c331860bfc35fea13a7368d5ec4056865e","target":"record","created_at":"2026-07-05T10:19:31Z","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":"b1b3bc4a2aee5f4d2ac51c05ede09dd9d1915b870d0dbc5a665664f2e219f30c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-11T18:58:46Z","title_canon_sha256":"bc1d58c545cf5f36b1ad94796b6081697f34280568b39971e7c86f8aa95fdfb0"},"schema_version":"1.0","source":{"id":"2411.07238","kind":"arxiv","version":2}},"canonical_sha256":"f56a046d9f252681ef4eabc6586df072a89302f11e8746f8bd8127a7dc15514c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f56a046d9f252681ef4eabc6586df072a89302f11e8746f8bd8127a7dc15514c","first_computed_at":"2026-07-05T10:19:31.066402Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:19:31.066402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FPCECxqbbvGGNilNZygINeyCf/rtGXYDHKSYGt9TFSoIVtO/wlyg1YE+X7JiZvZXyIVFTY43V4B3bEHfr2XDBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:19:31.066905Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.07238","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:854630234a0f657ad76059eb3606a2c331860bfc35fea13a7368d5ec4056865e","sha256:2edd97ec023f7bf873d10bacd046b472b54d060bb2e692046815a5e8b44fb881"],"state_sha256":"5bec9134da09c0231b7538fbed6c2eb72e4aee3b9a83a0d658e657e37f08eb84"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yWzpNpmkQ/yFUfE2BRNsx20TGU/LehtI0ghNUxDgQ4VMHsogwFHyps5Y9UGXP/O+uCbx6XNtzVT9sP78NMurDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T01:46:48.271732Z","bundle_sha256":"4d9ca57c1ba2d87907c01a865d8b4abd91da78c6481024e349cd71bc48522c5c"}}