{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:M7DBRBYWXDJ5Q5S37XWF65QP23","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":"206708d51e5936ba01e81b845d9b26bc66ba6493a35d60d41d2ec82aa7622c14","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2022-05-04T17:56:48Z","title_canon_sha256":"e83a718b31a32e21af0f5993a0653a9716bd00ca7456927a188f6ae1e17eda32"},"schema_version":"1.0","source":{"id":"2205.02225","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.02225","created_at":"2026-07-05T11:23:13Z"},{"alias_kind":"arxiv_version","alias_value":"2205.02225v4","created_at":"2026-07-05T11:23:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.02225","created_at":"2026-07-05T11:23:13Z"},{"alias_kind":"pith_short_12","alias_value":"M7DBRBYWXDJ5","created_at":"2026-07-05T11:23:13Z"},{"alias_kind":"pith_short_16","alias_value":"M7DBRBYWXDJ5Q5S3","created_at":"2026-07-05T11:23:13Z"},{"alias_kind":"pith_short_8","alias_value":"M7DBRBYW","created_at":"2026-07-05T11:23:13Z"}],"graph_snapshots":[{"event_id":"sha256:5099cde1052616d18715eeb07b099de5f362df84c2b46d0a15793461cba828ac","target":"graph","created_at":"2026-07-05T11:23:13Z","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/2205.02225/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unsupervised relation extraction aims to extract the relationship between entities from natural language sentences without prior information on relational scope or distribution. Existing works either utilize self-supervised schemes to refine relational feature signals by iteratively leveraging adaptive clustering and classification that provoke gradual drift problems, or adopt instance-wise contrastive learning which unreasonably pushes apart those sentence pairs that are semantically similar. To overcome these defects, we propose a novel contrastive learning framework named HiURE, which has t","authors_text":"Chenwei Zhang, Lijie Wen, Philip S. Yu, Shu`ang Li, Shuliang Liu, Xuming Hu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2022-05-04T17:56:48Z","title":"HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.02225","kind":"arxiv","version":4},"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:a160c506bfdb81cc17cdafef657a5c5d4df5271980eaa582172e7129386ff113","target":"record","created_at":"2026-07-05T11:23:13Z","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":"206708d51e5936ba01e81b845d9b26bc66ba6493a35d60d41d2ec82aa7622c14","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2022-05-04T17:56:48Z","title_canon_sha256":"e83a718b31a32e21af0f5993a0653a9716bd00ca7456927a188f6ae1e17eda32"},"schema_version":"1.0","source":{"id":"2205.02225","kind":"arxiv","version":4}},"canonical_sha256":"67c6188716b8d3d8765bfdec5f760fd6e4b28977c024ee94d08390bd8e124bba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"67c6188716b8d3d8765bfdec5f760fd6e4b28977c024ee94d08390bd8e124bba","first_computed_at":"2026-07-05T11:23:13.104924Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:23:13.104924Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VJTmFMwaus5yR0c6q/11Mb0lQYxqJoiGt4yBHsyxXIZ2oo2i+o50EbnJ0p9pv/iXF4k1wYUwgoEdXMVJTzmrDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:23:13.105442Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.02225","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a160c506bfdb81cc17cdafef657a5c5d4df5271980eaa582172e7129386ff113","sha256:5099cde1052616d18715eeb07b099de5f362df84c2b46d0a15793461cba828ac"],"state_sha256":"5f25fcfb328c9daf5687e068be02735c6eeb64d0837503f915cbed2e4cb1a229"}