{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:XPSFPSTLEPQEEXH25F2L37FPF5","short_pith_number":"pith:XPSFPSTL","schema_version":"1.0","canonical_sha256":"bbe457ca6b23e0425cfae974bdfcaf2f735faa3873b64af131d46aaf0a06037c","source":{"kind":"arxiv","id":"2608.04847","version":1},"attestation_state":"computed","paper":{"title":"Do Language Models Know Their Slang? Queer Slang Understanding in User-Generated Content","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Arianna Denitto, Beatrice Savoldi","submitted_at":"2026-08-05T13:40:48Z","abstract_excerpt":"Despite its cultural relevance and diffusion, queer slang remains underrepresented in Natural Language Processing research. Towards addressing this gap, we introduce Slang-Q, a manually curated dataset of naturally user-generated English sentences paired with queer slang terms and reference definitions, built upon a newly constructed taxonomy of 118 queer terms. We use this resource to conduct a first exploratory evaluation of language models on their ability to understand and define queer slang under varying prompting conditions. Slang-Q is intended as a basis for studying how current models "},"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":"2608.04847","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-05T13:40:48Z","cross_cats_sorted":[],"title_canon_sha256":"b3041a44d54dbe0ec1baaac45720a9df3c3a8d597c86cf58a2cb3d532e157a3c","abstract_canon_sha256":"d8509ddaa68467fd36083ed06521699d0b604ef9186973dcdbe2098122577550"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-06T01:47:23.782851Z","signature_b64":"SA0YnneiL5Bs+Pk/u1EYlF77H8kF8uDSY/R2yK7gFDP5E8/yj3ToKGuhrLS4anzrM7nDWLGpcQF8mPd+4j1kAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bbe457ca6b23e0425cfae974bdfcaf2f735faa3873b64af131d46aaf0a06037c","last_reissued_at":"2026-08-06T01:47:23.781242Z","signature_status":"signed_v1","first_computed_at":"2026-08-06T01:47:23.781242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Do Language Models Know Their Slang? Queer Slang Understanding in User-Generated Content","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Arianna Denitto, Beatrice Savoldi","submitted_at":"2026-08-05T13:40:48Z","abstract_excerpt":"Despite its cultural relevance and diffusion, queer slang remains underrepresented in Natural Language Processing research. Towards addressing this gap, we introduce Slang-Q, a manually curated dataset of naturally user-generated English sentences paired with queer slang terms and reference definitions, built upon a newly constructed taxonomy of 118 queer terms. We use this resource to conduct a first exploratory evaluation of language models on their ability to understand and define queer slang under varying prompting conditions. Slang-Q is intended as a basis for studying how current models "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.04847","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/2608.04847/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":"2608.04847","created_at":"2026-08-06T01:47:23.783140+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.04847v1","created_at":"2026-08-06T01:47:23.783140+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.04847","created_at":"2026-08-06T01:47:23.783140+00:00"},{"alias_kind":"pith_short_12","alias_value":"XPSFPSTLEPQE","created_at":"2026-08-06T01:47:23.783140+00:00"},{"alias_kind":"pith_short_16","alias_value":"XPSFPSTLEPQEEXH2","created_at":"2026-08-06T01:47:23.783140+00:00"},{"alias_kind":"pith_short_8","alias_value":"XPSFPSTL","created_at":"2026-08-06T01:47:23.783140+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/XPSFPSTLEPQEEXH25F2L37FPF5","json":"https://pith.science/pith/XPSFPSTLEPQEEXH25F2L37FPF5.json","graph_json":"https://pith.science/api/pith-number/XPSFPSTLEPQEEXH25F2L37FPF5/graph.json","events_json":"https://pith.science/api/pith-number/XPSFPSTLEPQEEXH25F2L37FPF5/events.json","paper":"https://pith.science/paper/XPSFPSTL"},"agent_actions":{"view_html":"https://pith.science/pith/XPSFPSTLEPQEEXH25F2L37FPF5","download_json":"https://pith.science/pith/XPSFPSTLEPQEEXH25F2L37FPF5.json","view_paper":"https://pith.science/paper/XPSFPSTL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.04847&json=true","fetch_graph":"https://pith.science/api/pith-number/XPSFPSTLEPQEEXH25F2L37FPF5/graph.json","fetch_events":"https://pith.science/api/pith-number/XPSFPSTLEPQEEXH25F2L37FPF5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XPSFPSTLEPQEEXH25F2L37FPF5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XPSFPSTLEPQEEXH25F2L37FPF5/action/storage_attestation","attest_author":"https://pith.science/pith/XPSFPSTLEPQEEXH25F2L37FPF5/action/author_attestation","sign_citation":"https://pith.science/pith/XPSFPSTLEPQEEXH25F2L37FPF5/action/citation_signature","submit_replication":"https://pith.science/pith/XPSFPSTLEPQEEXH25F2L37FPF5/action/replication_record"}},"created_at":"2026-08-06T01:47:23.783140+00:00","updated_at":"2026-08-06T01:47:23.783140+00:00"}