{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KTSRWYALENAYBIYRFPE6XEBKUI","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":"5476775947b1cda7a42130520cbbfeda55d94fb0aabefec79dba873da3c7614c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-05T10:25:01Z","title_canon_sha256":"a6bfcdf6337094a6887146dba17d0cca6426053b1e83084bddf89eb8186ba585"},"schema_version":"1.0","source":{"id":"2606.07123","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.07123","created_at":"2026-06-08T01:04:47Z"},{"alias_kind":"arxiv_version","alias_value":"2606.07123v1","created_at":"2026-06-08T01:04:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.07123","created_at":"2026-06-08T01:04:47Z"},{"alias_kind":"pith_short_12","alias_value":"KTSRWYALENAY","created_at":"2026-06-08T01:04:47Z"},{"alias_kind":"pith_short_16","alias_value":"KTSRWYALENAYBIYR","created_at":"2026-06-08T01:04:47Z"},{"alias_kind":"pith_short_8","alias_value":"KTSRWYAL","created_at":"2026-06-08T01:04:47Z"}],"graph_snapshots":[{"event_id":"sha256:722e21d96036740d3714b36019c92713703f46cf737ef327578551ecb36dfd2b","target":"graph","created_at":"2026-06-08T01:04:47Z","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/2606.07123/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Social meaning in language is inherently perspectival, varying across annotator backgrounds, demographics, and ideological positions. However, most NLP systems collapse this variation into a single ground-truth label, ignoring the diversity of interpretations. In this work, we model social dimensions along a perspectivist spectrum, capturing how interpretations vary across demographic groups on a dataset consisting of 28k human annotations. We benchmark multiple modeling paradigms, including zero-shot, few-shot, and fine-tuned approaches, and propose fusion embeddings that integrate textual an","authors_text":"Amanda Cercas Curry, Gianmarco De Francisci Morales, Luca Maria Aiello, Lucio La Cava","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-05T10:25:01Z","title":"Learning Perspectivist Social Meaning via Demographic-Conditioned Fusion Embeddings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.07123","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":"sha256:18092dfc587be4203069f6ae22c9b947988bc02ef1c73be17dda4bb2d2b8502d","target":"record","created_at":"2026-06-08T01:04:47Z","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":"5476775947b1cda7a42130520cbbfeda55d94fb0aabefec79dba873da3c7614c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-05T10:25:01Z","title_canon_sha256":"a6bfcdf6337094a6887146dba17d0cca6426053b1e83084bddf89eb8186ba585"},"schema_version":"1.0","source":{"id":"2606.07123","kind":"arxiv","version":1}},"canonical_sha256":"54e51b600b234180a3112bc9eb902aa2213c23a27838248a6439e2e3e26fa9ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"54e51b600b234180a3112bc9eb902aa2213c23a27838248a6439e2e3e26fa9ce","first_computed_at":"2026-06-08T01:04:47.626665Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-08T01:04:47.626665Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gjhrgYCWpurFKNPZkVgeSUC1m3CzQlqA+WaPwqyeEHvKxRecVWC0NmVXtafGsN41ziuFywYm8KkmwH8WglIQBA==","signature_status":"signed_v1","signed_at":"2026-06-08T01:04:47.627536Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.07123","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:18092dfc587be4203069f6ae22c9b947988bc02ef1c73be17dda4bb2d2b8502d","sha256:722e21d96036740d3714b36019c92713703f46cf737ef327578551ecb36dfd2b"],"state_sha256":"f140ed104a91f61097060596097cd3b006b8693b882fcf7be89a431333dbd1f0"}