{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:5AS7HTQNYGBTGFLWAYK7II2FGC","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":"fbd1670ca8354fccbf88c019b8519c2a99cba9456b8473bf34024551f0816b5a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-08T15:59:13Z","title_canon_sha256":"882518f704a6cebb794d310d26ee25761acec28ce0590e25fb305adfec4c07d6"},"schema_version":"1.0","source":{"id":"2211.04337","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.04337","created_at":"2026-07-05T05:14:28Z"},{"alias_kind":"arxiv_version","alias_value":"2211.04337v1","created_at":"2026-07-05T05:14:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.04337","created_at":"2026-07-05T05:14:28Z"},{"alias_kind":"pith_short_12","alias_value":"5AS7HTQNYGBT","created_at":"2026-07-05T05:14:28Z"},{"alias_kind":"pith_short_16","alias_value":"5AS7HTQNYGBTGFLW","created_at":"2026-07-05T05:14:28Z"},{"alias_kind":"pith_short_8","alias_value":"5AS7HTQN","created_at":"2026-07-05T05:14:28Z"}],"graph_snapshots":[{"event_id":"sha256:965b9b405115ad068f14369b114d857c7cf88ea900f3b7183157bdb0715a58b2","target":"graph","created_at":"2026-07-05T05:14:28Z","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/2211.04337/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Few-shot named entity recognition (NER) targets generalizing to unseen labels and/or domains with few labeled examples. Existing metric learning methods compute token-level similarities between query and support sets, but are not able to fully incorporate label semantics into modeling. To address this issue, we propose a simple method to largely improve metric learning for NER: 1) multiple prompt schemas are designed to enhance label semantics; 2) we propose a novel architecture to effectively combine multiple prompt-based representations. Empirically, our method achieves new state-of-the-art ","authors_text":"Yanan Zheng, Yanru Chen, Zhilin Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-08T15:59:13Z","title":"Prompt-Based Metric Learning for Few-Shot NER"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.04337","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:eae085bb2be76e1d08b654ad777dab090273ab862bdd0d348c72fd4edfb0066f","target":"record","created_at":"2026-07-05T05:14:28Z","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":"fbd1670ca8354fccbf88c019b8519c2a99cba9456b8473bf34024551f0816b5a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-08T15:59:13Z","title_canon_sha256":"882518f704a6cebb794d310d26ee25761acec28ce0590e25fb305adfec4c07d6"},"schema_version":"1.0","source":{"id":"2211.04337","kind":"arxiv","version":1}},"canonical_sha256":"e825f3ce0dc1833315760615f4234530a7b8ec1b6c7963c981c1fee9b813d704","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e825f3ce0dc1833315760615f4234530a7b8ec1b6c7963c981c1fee9b813d704","first_computed_at":"2026-07-05T05:14:28.618889Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:14:28.618889Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qF/tW/gi3fEhRFSalan5K8vH7DHNGsbe36tVLBACs8nk8msMX0N1SDTMTB+LkkjGKZPJiahsVkrasi1+rvCRBA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:14:28.619306Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.04337","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eae085bb2be76e1d08b654ad777dab090273ab862bdd0d348c72fd4edfb0066f","sha256:965b9b405115ad068f14369b114d857c7cf88ea900f3b7183157bdb0715a58b2"],"state_sha256":"ba22b7980eb889686deb772701e50a43dc3a62a73d38832adbb4f07d9f3345e9"}