{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:TLM4K2J3KSIQUQWM5UZNRHZPIK","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":"32241f038bc74200c21df29c0fa2b9e954bfcdbcdad532a0e7e39ace38815727","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2021-02-25T05:40:21Z","title_canon_sha256":"7c783978f8af426cff86cbd47308e058524fe3e5d1dae8aa2896285c3e17ee93"},"schema_version":"1.0","source":{"id":"2103.00488","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.00488","created_at":"2026-07-05T02:19:47Z"},{"alias_kind":"arxiv_version","alias_value":"2103.00488v2","created_at":"2026-07-05T02:19:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.00488","created_at":"2026-07-05T02:19:47Z"},{"alias_kind":"pith_short_12","alias_value":"TLM4K2J3KSIQ","created_at":"2026-07-05T02:19:47Z"},{"alias_kind":"pith_short_16","alias_value":"TLM4K2J3KSIQUQWM","created_at":"2026-07-05T02:19:47Z"},{"alias_kind":"pith_short_8","alias_value":"TLM4K2J3","created_at":"2026-07-05T02:19:47Z"}],"graph_snapshots":[{"event_id":"sha256:0879968219e169a6104dc69151bf770a3f6b43f632c91a357f4424e494116ad1","target":"graph","created_at":"2026-07-05T02:19:47Z","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/2103.00488/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Acronym disambiguation (AD) task aims to find the correct expansions of an ambiguous ancronym in a given sentence. Although it is convenient to use acronyms, sometimes they could be difficult to understand. Identifying the appropriate expansions of an acronym is a practical task in natural language processing. Since few works have been done for AD in scientific field, we propose a binary classification model incorporating BERT and several training strategies including dynamic negative sample selection, task adaptive pretraining, adversarial training and pseudo labeling in this paper. Experimen","authors_text":"Bingyan Song, Chunguang Pan, Shengguang Wang, Zhipeng Luo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2021-02-25T05:40:21Z","title":"BERT-based Acronym Disambiguation with Multiple Training Strategies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.00488","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":"sha256:089a7944d4b77ff3c2c933b7e1ec4d7ddb611303923e9b6b5533c6965a577401","target":"record","created_at":"2026-07-05T02:19:47Z","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":"32241f038bc74200c21df29c0fa2b9e954bfcdbcdad532a0e7e39ace38815727","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2021-02-25T05:40:21Z","title_canon_sha256":"7c783978f8af426cff86cbd47308e058524fe3e5d1dae8aa2896285c3e17ee93"},"schema_version":"1.0","source":{"id":"2103.00488","kind":"arxiv","version":2}},"canonical_sha256":"9ad9c5693b54910a42cced32d89f2f428a2a02b46eb6e299b7ed783bc00d5bea","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9ad9c5693b54910a42cced32d89f2f428a2a02b46eb6e299b7ed783bc00d5bea","first_computed_at":"2026-07-05T02:19:47.435900Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:19:47.435900Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ihXzf6kqwRSUCj8F8Nqy8H5Yg5e3y09UIITNPns4hguSIZXkwJP6r8xFZ9HbbW9lvAxjmWPtSUIqnVBEf6nlCw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:19:47.436239Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.00488","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:089a7944d4b77ff3c2c933b7e1ec4d7ddb611303923e9b6b5533c6965a577401","sha256:0879968219e169a6104dc69151bf770a3f6b43f632c91a357f4424e494116ad1"],"state_sha256":"a1cdb884351ceb5d64c067fd9f0c8998420b9ab953c62869219c8eb5dbb995de"}