{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:U7F77VJAIWT5RK3JAFVLAFRTR3","short_pith_number":"pith:U7F77VJA","schema_version":"1.0","canonical_sha256":"a7cbffd52045a7d8ab69016ab016338ed79e77dbcbb9ae53224a672312cd668b","source":{"kind":"arxiv","id":"2509.04011","version":1},"attestation_state":"computed","paper":{"title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.IR","authors_text":"Oren Glickman, Or Shachar, Uri Katz, Yoav Goldberg","submitted_at":"2025-09-04T08:42:23Z","abstract_excerpt":"We present NER Retriever, a zero-shot retrieval framework for ad-hoc Named Entity Retrieval, a variant of Named Entity Recognition (NER), where the types of interest are not provided in advance, and a user-defined type description is used to retrieve documents mentioning entities of that type. Instead of relying on fixed schemas or fine-tuned models, our method builds on internal representations of large language models (LLMs) to embed both entity mentions and user-provided open-ended type descriptions into a shared semantic space. We show that internal representations, specifically the value "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2509.04011","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-09-04T08:42:23Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"1e8f854c6a2083ea008ad6337fcc2cda9df5f370bdd4e5f05ba0090e0d28af4a","abstract_canon_sha256":"a6942acb4a4dac71f2bdd90238588e703267633e71ea331658b35ff44296b9bd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:04:51.785169Z","signature_b64":"Fzy9XFREHZotlG+03GO1d94KannRLN/xb1FNb11b4SHQvH3H7H/+UH8yunf2X/4kahiwBhTrdsp64XOUoUfSCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a7cbffd52045a7d8ab69016ab016338ed79e77dbcbb9ae53224a672312cd668b","last_reissued_at":"2026-07-05T12:04:51.784660Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:04:51.784660Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.IR","authors_text":"Oren Glickman, Or Shachar, Uri Katz, Yoav Goldberg","submitted_at":"2025-09-04T08:42:23Z","abstract_excerpt":"We present NER Retriever, a zero-shot retrieval framework for ad-hoc Named Entity Retrieval, a variant of Named Entity Recognition (NER), where the types of interest are not provided in advance, and a user-defined type description is used to retrieve documents mentioning entities of that type. Instead of relying on fixed schemas or fine-tuned models, our method builds on internal representations of large language models (LLMs) to embed both entity mentions and user-provided open-ended type descriptions into a shared semantic space. We show that internal representations, specifically the value "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04011","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/2509.04011/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2509.04011","created_at":"2026-07-05T12:04:51.784717+00:00"},{"alias_kind":"arxiv_version","alias_value":"2509.04011v1","created_at":"2026-07-05T12:04:51.784717+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04011","created_at":"2026-07-05T12:04:51.784717+00:00"},{"alias_kind":"pith_short_12","alias_value":"U7F77VJAIWT5","created_at":"2026-07-05T12:04:51.784717+00:00"},{"alias_kind":"pith_short_16","alias_value":"U7F77VJAIWT5RK3J","created_at":"2026-07-05T12:04:51.784717+00:00"},{"alias_kind":"pith_short_8","alias_value":"U7F77VJA","created_at":"2026-07-05T12:04:51.784717+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/U7F77VJAIWT5RK3JAFVLAFRTR3","json":"https://pith.science/pith/U7F77VJAIWT5RK3JAFVLAFRTR3.json","graph_json":"https://pith.science/api/pith-number/U7F77VJAIWT5RK3JAFVLAFRTR3/graph.json","events_json":"https://pith.science/api/pith-number/U7F77VJAIWT5RK3JAFVLAFRTR3/events.json","paper":"https://pith.science/paper/U7F77VJA"},"agent_actions":{"view_html":"https://pith.science/pith/U7F77VJAIWT5RK3JAFVLAFRTR3","download_json":"https://pith.science/pith/U7F77VJAIWT5RK3JAFVLAFRTR3.json","view_paper":"https://pith.science/paper/U7F77VJA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2509.04011&json=true","fetch_graph":"https://pith.science/api/pith-number/U7F77VJAIWT5RK3JAFVLAFRTR3/graph.json","fetch_events":"https://pith.science/api/pith-number/U7F77VJAIWT5RK3JAFVLAFRTR3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/U7F77VJAIWT5RK3JAFVLAFRTR3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/U7F77VJAIWT5RK3JAFVLAFRTR3/action/storage_attestation","attest_author":"https://pith.science/pith/U7F77VJAIWT5RK3JAFVLAFRTR3/action/author_attestation","sign_citation":"https://pith.science/pith/U7F77VJAIWT5RK3JAFVLAFRTR3/action/citation_signature","submit_replication":"https://pith.science/pith/U7F77VJAIWT5RK3JAFVLAFRTR3/action/replication_record"}},"created_at":"2026-07-05T12:04:51.784717+00:00","updated_at":"2026-07-05T12:04:51.784717+00:00"}