{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:R7V5KR2I7TH3IUWSNJ6DUBEXSP","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":"beaa23b21a1d02cc6a2d508c437471ffa516fcc52b46e36322372681cc97d763","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-08-06T00:16:04Z","title_canon_sha256":"5e1a643f432a46ee9631c669dab052381d7a5b01b19bdafad8b9d242edc6dace"},"schema_version":"1.0","source":{"id":"2308.02976","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.02976","created_at":"2026-07-05T06:38:10Z"},{"alias_kind":"arxiv_version","alias_value":"2308.02976v1","created_at":"2026-07-05T06:38:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.02976","created_at":"2026-07-05T06:38:10Z"},{"alias_kind":"pith_short_12","alias_value":"R7V5KR2I7TH3","created_at":"2026-07-05T06:38:10Z"},{"alias_kind":"pith_short_16","alias_value":"R7V5KR2I7TH3IUWS","created_at":"2026-07-05T06:38:10Z"},{"alias_kind":"pith_short_8","alias_value":"R7V5KR2I","created_at":"2026-07-05T06:38:10Z"}],"graph_snapshots":[{"event_id":"sha256:06728e9b193ae46e9898140bdb532042f7bc7a097ef72b559eb0c9684162e1fe","target":"graph","created_at":"2026-07-05T06:38:10Z","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/2308.02976/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Spanish language is one of the top 5 spoken languages in the world. Nevertheless, finding resources to train or evaluate Spanish language models is not an easy task. In this paper we help bridge this gap by presenting a BERT-based language model pre-trained exclusively on Spanish data. As a second contribution, we also compiled several tasks specifically for the Spanish language in a single repository much in the spirit of the GLUE benchmark. By fine-tuning our pre-trained Spanish model, we obtain better results compared to other BERT-based models pre-trained on multilingual corpora for mo","authors_text":"Gabriel Chaperon, Hojin Kang, Jorge P\\'erez, Jos\\'e Ca\\~nete, Jou-Hui Ho, Rodrigo Fuentes","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-08-06T00:16:04Z","title":"Spanish Pre-trained BERT Model and Evaluation Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.02976","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":"sha256:548a202d01493ccf898980115fe851a882434e41fa396daa3a872443fe5e9eeb","target":"record","created_at":"2026-07-05T06:38:10Z","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":"beaa23b21a1d02cc6a2d508c437471ffa516fcc52b46e36322372681cc97d763","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-08-06T00:16:04Z","title_canon_sha256":"5e1a643f432a46ee9631c669dab052381d7a5b01b19bdafad8b9d242edc6dace"},"schema_version":"1.0","source":{"id":"2308.02976","kind":"arxiv","version":1}},"canonical_sha256":"8febd54748fccfb452d26a7c3a049793ce7a7ff9a67206be23fee478773762e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8febd54748fccfb452d26a7c3a049793ce7a7ff9a67206be23fee478773762e0","first_computed_at":"2026-07-05T06:38:10.063080Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:38:10.063080Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WPj1kB23ZtGIJs5HedUnLxMoS5ZiPuNjQzMMIts9tC7fUP0wP8gok/nxAl85r4y/fJXjyKa7Cy/gTQpWaTtgDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:38:10.063630Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.02976","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:548a202d01493ccf898980115fe851a882434e41fa396daa3a872443fe5e9eeb","sha256:06728e9b193ae46e9898140bdb532042f7bc7a097ef72b559eb0c9684162e1fe"],"state_sha256":"2ce1f2cdfe9a90d3bc2a522244eca403d5f0360103bbac18593da62f9d574102"}