{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RVEYA5PVPC57SKDFUN4SRMGCNK","short_pith_number":"pith:RVEYA5PV","canonical_record":{"source":{"id":"2406.18266","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-26T11:39:51Z","cross_cats_sorted":[],"title_canon_sha256":"74abb299f430682a798aa9cac5ca6f97f6ab2e6f0c3bd380d45cccb60e982cbb","abstract_canon_sha256":"26e7c18f788b067f5717661627965554dfe97c4b53a8c8a70772cc24f76afa43"},"schema_version":"1.0"},"canonical_sha256":"8d498075f578bbf92865a37928b0c26aa229b11da42a85f31c906a12851c293d","source":{"kind":"arxiv","id":"2406.18266","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.18266","created_at":"2026-07-05T09:24:59Z"},{"alias_kind":"arxiv_version","alias_value":"2406.18266v4","created_at":"2026-07-05T09:24:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.18266","created_at":"2026-07-05T09:24:59Z"},{"alias_kind":"pith_short_12","alias_value":"RVEYA5PVPC57","created_at":"2026-07-05T09:24:59Z"},{"alias_kind":"pith_short_16","alias_value":"RVEYA5PVPC57SKDF","created_at":"2026-07-05T09:24:59Z"},{"alias_kind":"pith_short_8","alias_value":"RVEYA5PV","created_at":"2026-07-05T09:24:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RVEYA5PVPC57SKDFUN4SRMGCNK","target":"record","payload":{"canonical_record":{"source":{"id":"2406.18266","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-26T11:39:51Z","cross_cats_sorted":[],"title_canon_sha256":"74abb299f430682a798aa9cac5ca6f97f6ab2e6f0c3bd380d45cccb60e982cbb","abstract_canon_sha256":"26e7c18f788b067f5717661627965554dfe97c4b53a8c8a70772cc24f76afa43"},"schema_version":"1.0"},"canonical_sha256":"8d498075f578bbf92865a37928b0c26aa229b11da42a85f31c906a12851c293d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:24:59.419308Z","signature_b64":"bB4O1kD9yJEcT+uwRj61U9o5z5iiphUVOVMNKIev+pAs7UqxiwEZ0hxeZYns9XzZkP1axVETMYip8z2Q7pLPBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8d498075f578bbf92865a37928b0c26aa229b11da42a85f31c906a12851c293d","last_reissued_at":"2026-07-05T09:24:59.418824Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:24:59.418824Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.18266","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:24:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cPY2g6KRywYboXWik2FWGo++9RQxfdvPymjBKlqoXSh0aZRC5tYz5/GHrYpM/FaIIC3RVYTCy8faAxmL6UWqDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T01:02:06.740577Z"},"content_sha256":"ac27169b82a0b958bad0f300fbdf1d70af5119bb825bfae815ca17f7c4d0be2e","schema_version":"1.0","event_id":"sha256:ac27169b82a0b958bad0f300fbdf1d70af5119bb825bfae815ca17f7c4d0be2e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RVEYA5PVPC57SKDFUN4SRMGCNK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"\"Vorbe\\c{s}ti Rom\\^ane\\c{s}te?\" A Recipe to Train Powerful Romanian LLMs with English Instructions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Alexandru Dima, Andrei Terian, Denis C. Ilie-Ablachim, Dragos Corlatescu, Horia Velicu, Marius Leordeanu, Marius Popescu, Mihai Dascalu, Mihai Masala, Miruna Zavelca, Ovio Olaru, Simina Terian, Traian Rebedea","submitted_at":"2024-06-26T11:39:51Z","abstract_excerpt":"In recent years, Large Language Models (LLMs) have achieved almost human-like performance on various tasks. While some LLMs have been trained on multilingual data, most of the training data is in English; hence, their performance in English greatly exceeds other languages. To our knowledge, we are the first to collect and translate a large collection of texts, instructions, and benchmarks and train, evaluate, and release open-source LLMs tailored for Romanian. We evaluate our methods on four different categories, including academic benchmarks, MT-Bench (manually translated), and a professional"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.18266","kind":"arxiv","version":4},"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/2406.18266/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":"2026-07-05T09:24:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0GBgzge9Jg5e6pNkRvSxpa4o4wmSZ794PsZPxzBux7yFsYjkDhMtqpTp/AHjJrM3SBZ3+woTIDlGFfvxnRKdCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T01:02:06.741479Z"},"content_sha256":"16f8da5f05f4dd412cb85a943e39cc4cd3f499d9852365447a1c2684b1592901","schema_version":"1.0","event_id":"sha256:16f8da5f05f4dd412cb85a943e39cc4cd3f499d9852365447a1c2684b1592901"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RVEYA5PVPC57SKDFUN4SRMGCNK/bundle.json","state_url":"https://pith.science/pith/RVEYA5PVPC57SKDFUN4SRMGCNK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RVEYA5PVPC57SKDFUN4SRMGCNK/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":"2026-08-08T01:02:06Z","links":{"resolver":"https://pith.science/pith/RVEYA5PVPC57SKDFUN4SRMGCNK","bundle":"https://pith.science/pith/RVEYA5PVPC57SKDFUN4SRMGCNK/bundle.json","state":"https://pith.science/pith/RVEYA5PVPC57SKDFUN4SRMGCNK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RVEYA5PVPC57SKDFUN4SRMGCNK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RVEYA5PVPC57SKDFUN4SRMGCNK","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":"26e7c18f788b067f5717661627965554dfe97c4b53a8c8a70772cc24f76afa43","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-26T11:39:51Z","title_canon_sha256":"74abb299f430682a798aa9cac5ca6f97f6ab2e6f0c3bd380d45cccb60e982cbb"},"schema_version":"1.0","source":{"id":"2406.18266","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.18266","created_at":"2026-07-05T09:24:59Z"},{"alias_kind":"arxiv_version","alias_value":"2406.18266v4","created_at":"2026-07-05T09:24:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.18266","created_at":"2026-07-05T09:24:59Z"},{"alias_kind":"pith_short_12","alias_value":"RVEYA5PVPC57","created_at":"2026-07-05T09:24:59Z"},{"alias_kind":"pith_short_16","alias_value":"RVEYA5PVPC57SKDF","created_at":"2026-07-05T09:24:59Z"},{"alias_kind":"pith_short_8","alias_value":"RVEYA5PV","created_at":"2026-07-05T09:24:59Z"}],"graph_snapshots":[{"event_id":"sha256:16f8da5f05f4dd412cb85a943e39cc4cd3f499d9852365447a1c2684b1592901","target":"graph","created_at":"2026-07-05T09:24:59Z","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/2406.18266/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, Large Language Models (LLMs) have achieved almost human-like performance on various tasks. While some LLMs have been trained on multilingual data, most of the training data is in English; hence, their performance in English greatly exceeds other languages. To our knowledge, we are the first to collect and translate a large collection of texts, instructions, and benchmarks and train, evaluate, and release open-source LLMs tailored for Romanian. We evaluate our methods on four different categories, including academic benchmarks, MT-Bench (manually translated), and a professional","authors_text":"Alexandru Dima, Andrei Terian, Denis C. Ilie-Ablachim, Dragos Corlatescu, Horia Velicu, Marius Leordeanu, Marius Popescu, Mihai Dascalu, Mihai Masala, Miruna Zavelca, Ovio Olaru, Simina Terian, Traian Rebedea","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-26T11:39:51Z","title":"\"Vorbe\\c{s}ti Rom\\^ane\\c{s}te?\" A Recipe to Train Powerful Romanian LLMs with English Instructions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.18266","kind":"arxiv","version":4},"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:ac27169b82a0b958bad0f300fbdf1d70af5119bb825bfae815ca17f7c4d0be2e","target":"record","created_at":"2026-07-05T09:24:59Z","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":"26e7c18f788b067f5717661627965554dfe97c4b53a8c8a70772cc24f76afa43","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-26T11:39:51Z","title_canon_sha256":"74abb299f430682a798aa9cac5ca6f97f6ab2e6f0c3bd380d45cccb60e982cbb"},"schema_version":"1.0","source":{"id":"2406.18266","kind":"arxiv","version":4}},"canonical_sha256":"8d498075f578bbf92865a37928b0c26aa229b11da42a85f31c906a12851c293d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8d498075f578bbf92865a37928b0c26aa229b11da42a85f31c906a12851c293d","first_computed_at":"2026-07-05T09:24:59.418824Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:24:59.418824Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bB4O1kD9yJEcT+uwRj61U9o5z5iiphUVOVMNKIev+pAs7UqxiwEZ0hxeZYns9XzZkP1axVETMYip8z2Q7pLPBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:24:59.419308Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.18266","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac27169b82a0b958bad0f300fbdf1d70af5119bb825bfae815ca17f7c4d0be2e","sha256:16f8da5f05f4dd412cb85a943e39cc4cd3f499d9852365447a1c2684b1592901"],"state_sha256":"4835cd5b519f4d0fe7ce0ca8c6424560eb86b92d9287639bc0a2575be1d707ed"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c+nrd7k2EQpPFz9+uA/Tb+R/y+MFbWpi3gV64qegAa6d2p1uPSUJd8L6GWRzUUOo6y+5i+5VltKhNuE1hL3BAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T01:02:06.795936Z","bundle_sha256":"e4e4b6fd838fe842b75a3a0d13ed622ca00160bbcceb8799971757cb6b35302e"}}