{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:PBGSYQMDDNW6CWPSNXUWS7JEWV","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":"ebd85c8a19868942a259d8004b1188ea72e8558c72159cf91d48c6a7c7612765","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2021-12-01T18:22:04Z","title_canon_sha256":"d6242d2b00914abd08e638a0adc131074a3f2ace6602bb89f03c5b6ed38cf8af"},"schema_version":"1.0","source":{"id":"2112.00699","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.00699","created_at":"2026-07-05T03:36:49Z"},{"alias_kind":"arxiv_version","alias_value":"2112.00699v1","created_at":"2026-07-05T03:36:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.00699","created_at":"2026-07-05T03:36:49Z"},{"alias_kind":"pith_short_12","alias_value":"PBGSYQMDDNW6","created_at":"2026-07-05T03:36:49Z"},{"alias_kind":"pith_short_16","alias_value":"PBGSYQMDDNW6CWPS","created_at":"2026-07-05T03:36:49Z"},{"alias_kind":"pith_short_8","alias_value":"PBGSYQMD","created_at":"2026-07-05T03:36:49Z"}],"graph_snapshots":[{"event_id":"sha256:b136295a665ddcf987f070ae8a76baac5f5c4d9747a8e02ebb22161d8dcad68b","target":"graph","created_at":"2026-07-05T03:36:49Z","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/2112.00699/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The application of Natural Language Processing (NLP) has achieved a high level of relevance in several areas. In the field of software engineering (SE), NLP applications are based on the classification of similar texts (e.g. software requirements), applied in tasks of estimating software effort, selection of human resources, etc. Classifying software requirements has been a complex task, considering the informality and complexity inherent in the texts produced during the software development process. The pre-trained embedding models are shown as a viable alternative when considering the low vo","authors_text":"Dalcimar Casanova, Eliane Maria De Bortoli F\\'avero","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2021-12-01T18:22:04Z","title":"BERT_SE: A Pre-trained Language Representation Model for Software Engineering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.00699","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":"sha256:717dddfcc4dafb833a4f41275a38fc7dd41ec2bc2f925c2ed9055b58802f6b6d","target":"record","created_at":"2026-07-05T03:36:49Z","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":"ebd85c8a19868942a259d8004b1188ea72e8558c72159cf91d48c6a7c7612765","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2021-12-01T18:22:04Z","title_canon_sha256":"d6242d2b00914abd08e638a0adc131074a3f2ace6602bb89f03c5b6ed38cf8af"},"schema_version":"1.0","source":{"id":"2112.00699","kind":"arxiv","version":1}},"canonical_sha256":"784d2c41831b6de159f26de9697d24b579face27393ffd1092cd1720b3bdf7aa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"784d2c41831b6de159f26de9697d24b579face27393ffd1092cd1720b3bdf7aa","first_computed_at":"2026-07-05T03:36:49.531282Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:36:49.531282Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N70NApEVQLiLErCbM97melvAcmB1fgHhauUOyHWMgr8WNfhuEAEGvFRRSl9H8SOxOhr79+OWVvLMx1ohPZMbCw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:36:49.531725Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.00699","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:717dddfcc4dafb833a4f41275a38fc7dd41ec2bc2f925c2ed9055b58802f6b6d","sha256:b136295a665ddcf987f070ae8a76baac5f5c4d9747a8e02ebb22161d8dcad68b"],"state_sha256":"1acdac53f1374b45ed5b17212352df86938c11499aa99cdbf323b73b7a603dfe"}