{"as_of":"2026-07-17T06:54:00Z","canonical_paper_id":"GMT4G6HF","canonical_url":"https://pith.science/paper/GMT4G6HF/integrity","context_digest":"sha256:3a5ccc58e68c950dc78aa663f9fde2d059b305c3296a1b431db30e1d5aef0f62","coverage_summary":[],"findings":[],"findings_empty_copy":"No checks are listed for this paper yet.","findings_observation_state":"no_listed_checks","links":{"arxiv":"https://arxiv.org/abs/1909.02177","bundle_json":"/pith/GMT4G6HFAIBZTLK7NW5PUAFKVI/bundle.json","citation_record":"/paper/GMT4G6HF/citation-record","evidence":"/evidence","html":"/paper/GMT4G6HF/integrity","integrity_json":"/paper/GMT4G6HF/integrity.json","json":"/paper/GMT4G6HF/integrity.json","legacy_integrity_json":"/pith/GMT4G6HF/integrity.json","paper":"/paper/GMT4G6HF","reference_changes":"/flags?citing=GMT4G6HF"},"paper":{"arxiv_id":"1909.02177","latest_version":4,"primary_cat":"cs.CL","title":"NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction"},"pith_number":"pith:2019:GMT4G6HFAIBZTLK7NW5PUAFKVI","pith_short":"GMT4G6HFAIBZTLK7NW5PUAFKVI","record":{"arxiv_id":"1909.02177","claim":"As of an unrecorded date, Pith completed 0 of 0 listed checks against arXiv:1909.02177. No listed check completed, so this record makes no findings claim.","counts":{"completed":0,"failed":0,"listed":0,"not_collected":0,"not_requested":0,"partial":0,"public_findings_from_completed":0,"skipped":0,"unavailable":0,"withheld":0},"coverage":[],"observed_at":null,"refusal":"This is a record of named checks, not a clean-status claim or a paper verdict.","schema":"pith.integrity.v1"},"schema":"pith.paper-integrity-record.v1","species":"LEDGER"}