{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:A3ELOQPDWK3GBDTL2SRMQ2SHCZ","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":"c57f48a1573f2eb61f360936e183f1ba1d35c5848ea8e53d9082ad35a7fa2d1b","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-15T17:20:20Z","title_canon_sha256":"cbb10a31caa5bce369dfb9fc42767910f31b10624b2a4f9051b8a179734e58b0"},"schema_version":"1.0","source":{"id":"1908.05646","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.05646","created_at":"2026-07-05T01:03:20Z"},{"alias_kind":"arxiv_version","alias_value":"1908.05646v2","created_at":"2026-07-05T01:03:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.05646","created_at":"2026-07-05T01:03:20Z"},{"alias_kind":"pith_short_12","alias_value":"A3ELOQPDWK3G","created_at":"2026-07-05T01:03:20Z"},{"alias_kind":"pith_short_16","alias_value":"A3ELOQPDWK3GBDTL","created_at":"2026-07-05T01:03:20Z"},{"alias_kind":"pith_short_8","alias_value":"A3ELOQPD","created_at":"2026-07-05T01:03:20Z"}],"graph_snapshots":[{"event_id":"sha256:c85af7223419a9c990bca8dcdcc86dc9abfde081fc6df8f07412971b453024c7","target":"graph","created_at":"2026-07-05T01:03:20Z","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/1908.05646/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The ability to learn from large unlabeled corpora has allowed neural language models to advance the frontier in natural language understanding. However, existing self-supervision techniques operate at the word form level, which serves as a surrogate for the underlying semantic content. This paper proposes a method to employ weak-supervision directly at the word sense level. Our model, named SenseBERT, is pre-trained to predict not only the masked words but also their WordNet supersenses. Accordingly, we attain a lexical-semantic level language model, without the use of human annotation. SenseB","authors_text":"Amnon Shashua, Barak Lenz, Dan Padnos, Or Dagan, Ori Ram, Or Sharir, Shai Shalev-Shwartz, Yoav Levine, Yoav Shoham","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-15T17:20:20Z","title":"SenseBERT: Driving Some Sense into BERT"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.05646","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:d50d44943a141355eb28eb5a65b6f7f16bfd6aca7d50c3903a81e0033bf84d44","target":"record","created_at":"2026-07-05T01:03:20Z","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":"c57f48a1573f2eb61f360936e183f1ba1d35c5848ea8e53d9082ad35a7fa2d1b","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-15T17:20:20Z","title_canon_sha256":"cbb10a31caa5bce369dfb9fc42767910f31b10624b2a4f9051b8a179734e58b0"},"schema_version":"1.0","source":{"id":"1908.05646","kind":"arxiv","version":2}},"canonical_sha256":"06c8b741e3b2b6608e6bd4a2c86a471671a6222208e9bd5dd87ea78b2d7585b0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06c8b741e3b2b6608e6bd4a2c86a471671a6222208e9bd5dd87ea78b2d7585b0","first_computed_at":"2026-07-05T01:03:20.039569Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:03:20.039569Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y87h7UxjgECruuOmsSS9pfI9GQcaN4dxXzWWXErZYBs3X9xeBrukeFCvtL/fhIq9WhX/sxmnk+igYUcyNOWLDA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:03:20.040089Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.05646","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d50d44943a141355eb28eb5a65b6f7f16bfd6aca7d50c3903a81e0033bf84d44","sha256:c85af7223419a9c990bca8dcdcc86dc9abfde081fc6df8f07412971b453024c7"],"state_sha256":"632daeec89f60d4bc7a34e8f24c9fa31ca2c089de373739b74c6e2fc054e48b6"}