{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZRCQSZP3CAK7THPGSANQ7QVXYE","short_pith_number":"pith:ZRCQSZP3","canonical_record":{"source":{"id":"2305.12217","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-20T15:47:59Z","cross_cats_sorted":[],"title_canon_sha256":"c9264f0241718c87b24be6e75a1638d88d4bd36cf34d57e2660d541c0acfa9cd","abstract_canon_sha256":"9c41850874c65cae0279cfa37403345e8504742f860fd9c1a9bb1ef57f43f8de"},"schema_version":"1.0"},"canonical_sha256":"cc450965fb1015f99de6901b0fc2b7c109fc3be6e687d18543c682ce9fa891b7","source":{"kind":"arxiv","id":"2305.12217","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.12217","created_at":"2026-07-05T06:12:07Z"},{"alias_kind":"arxiv_version","alias_value":"2305.12217v1","created_at":"2026-07-05T06:12:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.12217","created_at":"2026-07-05T06:12:07Z"},{"alias_kind":"pith_short_12","alias_value":"ZRCQSZP3CAK7","created_at":"2026-07-05T06:12:07Z"},{"alias_kind":"pith_short_16","alias_value":"ZRCQSZP3CAK7THPG","created_at":"2026-07-05T06:12:07Z"},{"alias_kind":"pith_short_8","alias_value":"ZRCQSZP3","created_at":"2026-07-05T06:12:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZRCQSZP3CAK7THPGSANQ7QVXYE","target":"record","payload":{"canonical_record":{"source":{"id":"2305.12217","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-20T15:47:59Z","cross_cats_sorted":[],"title_canon_sha256":"c9264f0241718c87b24be6e75a1638d88d4bd36cf34d57e2660d541c0acfa9cd","abstract_canon_sha256":"9c41850874c65cae0279cfa37403345e8504742f860fd9c1a9bb1ef57f43f8de"},"schema_version":"1.0"},"canonical_sha256":"cc450965fb1015f99de6901b0fc2b7c109fc3be6e687d18543c682ce9fa891b7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:12:07.955947Z","signature_b64":"FlORb5ePGm5uCgqjPdxRBXTGCGLAp/JLqv14rPpTRnF5DDbkAzZubUAK3BDcoW0rxvsMT35YHq/RAN1dBvwEDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cc450965fb1015f99de6901b0fc2b7c109fc3be6e687d18543c682ce9fa891b7","last_reissued_at":"2026-07-05T06:12:07.955507Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:12:07.955507Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.12217","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:12:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ttSkCIj/D/jplvPGOgW5HhsJ62CTmVJooiVWd/FBa34I1Rh2MndtO/9FayvBYrD/x1v3vQCubXYke9aHfoqnCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:47:33.596494Z"},"content_sha256":"bc9a3858a63c951f8863aa9d9c0a6e498fe81f322bb6484f57fec0036935e604","schema_version":"1.0","event_id":"sha256:bc9a3858a63c951f8863aa9d9c0a6e498fe81f322bb6484f57fec0036935e604"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZRCQSZP3CAK7THPGSANQ7QVXYE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Hang Yan, Mozhi Zhang, Xipeng Qiu, Yaqian Zhou","submitted_at":"2023-05-20T15:47:59Z","abstract_excerpt":"Few-shot Named Entity Recognition (NER) is a task aiming to identify named entities via limited annotated samples. Recently, prototypical networks have shown promising performance in few-shot NER. Most of prototypical networks will utilize the entities from the support set to construct label prototypes and use the query set to compute span-level similarities and optimize these label prototype representations. However, these methods are usually unsuitable for fine-tuning in the target domain, where only the support set is available. In this paper, we propose PromptNER: a novel prompting method "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.12217","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2305.12217/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:12:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GNToyjkMvMlLJpCY2hUYVD3qOs5tkZbQvTOix2jEzod+s5M2G6KUX3hR9DR2L097T7tKeXunihLYGeNEgGRBCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:47:33.596883Z"},"content_sha256":"9323f4c7289ffd9092587df296d0aa223c07f17f4ae89883e2a3253411e824b5","schema_version":"1.0","event_id":"sha256:9323f4c7289ffd9092587df296d0aa223c07f17f4ae89883e2a3253411e824b5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZRCQSZP3CAK7THPGSANQ7QVXYE/bundle.json","state_url":"https://pith.science/pith/ZRCQSZP3CAK7THPGSANQ7QVXYE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZRCQSZP3CAK7THPGSANQ7QVXYE/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-07T02:47:33Z","links":{"resolver":"https://pith.science/pith/ZRCQSZP3CAK7THPGSANQ7QVXYE","bundle":"https://pith.science/pith/ZRCQSZP3CAK7THPGSANQ7QVXYE/bundle.json","state":"https://pith.science/pith/ZRCQSZP3CAK7THPGSANQ7QVXYE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZRCQSZP3CAK7THPGSANQ7QVXYE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZRCQSZP3CAK7THPGSANQ7QVXYE","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":"9c41850874c65cae0279cfa37403345e8504742f860fd9c1a9bb1ef57f43f8de","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-20T15:47:59Z","title_canon_sha256":"c9264f0241718c87b24be6e75a1638d88d4bd36cf34d57e2660d541c0acfa9cd"},"schema_version":"1.0","source":{"id":"2305.12217","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.12217","created_at":"2026-07-05T06:12:07Z"},{"alias_kind":"arxiv_version","alias_value":"2305.12217v1","created_at":"2026-07-05T06:12:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.12217","created_at":"2026-07-05T06:12:07Z"},{"alias_kind":"pith_short_12","alias_value":"ZRCQSZP3CAK7","created_at":"2026-07-05T06:12:07Z"},{"alias_kind":"pith_short_16","alias_value":"ZRCQSZP3CAK7THPG","created_at":"2026-07-05T06:12:07Z"},{"alias_kind":"pith_short_8","alias_value":"ZRCQSZP3","created_at":"2026-07-05T06:12:07Z"}],"graph_snapshots":[{"event_id":"sha256:9323f4c7289ffd9092587df296d0aa223c07f17f4ae89883e2a3253411e824b5","target":"graph","created_at":"2026-07-05T06:12:07Z","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/2305.12217/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Few-shot Named Entity Recognition (NER) is a task aiming to identify named entities via limited annotated samples. Recently, prototypical networks have shown promising performance in few-shot NER. Most of prototypical networks will utilize the entities from the support set to construct label prototypes and use the query set to compute span-level similarities and optimize these label prototype representations. However, these methods are usually unsuitable for fine-tuning in the target domain, where only the support set is available. In this paper, we propose PromptNER: a novel prompting method ","authors_text":"Hang Yan, Mozhi Zhang, Xipeng Qiu, Yaqian Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-20T15:47:59Z","title":"PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.12217","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:bc9a3858a63c951f8863aa9d9c0a6e498fe81f322bb6484f57fec0036935e604","target":"record","created_at":"2026-07-05T06:12:07Z","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":"9c41850874c65cae0279cfa37403345e8504742f860fd9c1a9bb1ef57f43f8de","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-20T15:47:59Z","title_canon_sha256":"c9264f0241718c87b24be6e75a1638d88d4bd36cf34d57e2660d541c0acfa9cd"},"schema_version":"1.0","source":{"id":"2305.12217","kind":"arxiv","version":1}},"canonical_sha256":"cc450965fb1015f99de6901b0fc2b7c109fc3be6e687d18543c682ce9fa891b7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cc450965fb1015f99de6901b0fc2b7c109fc3be6e687d18543c682ce9fa891b7","first_computed_at":"2026-07-05T06:12:07.955507Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:12:07.955507Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FlORb5ePGm5uCgqjPdxRBXTGCGLAp/JLqv14rPpTRnF5DDbkAzZubUAK3BDcoW0rxvsMT35YHq/RAN1dBvwEDw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:12:07.955947Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.12217","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bc9a3858a63c951f8863aa9d9c0a6e498fe81f322bb6484f57fec0036935e604","sha256:9323f4c7289ffd9092587df296d0aa223c07f17f4ae89883e2a3253411e824b5"],"state_sha256":"21940a9585c15850034db19cf4c08214866eca43ebdd0ac4c1e2f25e1054f26a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kLd6KRGxqn9Z+Eg2pZsztyP+6Dzt4/9Na3whVV/4aZafCRmW9VPbNr3fpgJX8IsVnEtfVDkScXbQpDiwmHezCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T02:47:33.598845Z","bundle_sha256":"b44a517eebd531ccbf818330ce879800c1eb8075080799051f4c45fd38ac1f50"}}