{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:YCIL6LNV7MVPKM4K3AHVWSHDQD","short_pith_number":"pith:YCIL6LNV","schema_version":"1.0","canonical_sha256":"c090bf2db5fb2af5338ad80f5b48e380dcbba131f8a0ee39061a93c2ec3158d6","source":{"kind":"arxiv","id":"2504.18673","version":1},"attestation_state":"computed","paper":{"title":"Can Third-parties Read Our Emotions?","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Halima Binte Islam, Jiayi Li, Pranav Narayanan Venkit, Sarah Rajtmajer, Shomir Wilson, Sneha Arya, Yingfan Zhou","submitted_at":"2025-04-25T19:52:21Z","abstract_excerpt":"Natural Language Processing tasks that aim to infer an author's private states, e.g., emotions and opinions, from their written text, typically rely on datasets annotated by third-party annotators. However, the assumption that third-party annotators can accurately capture authors' private states remains largely unexamined. In this study, we present human subjects experiments on emotion recognition tasks that directly compare third-party annotations with first-party (author-provided) emotion labels. Our findings reveal significant limitations in third-party annotations-whether provided by human"},"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":"2504.18673","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-04-25T19:52:21Z","cross_cats_sorted":[],"title_canon_sha256":"f3f02cf688324133ed3bae465547be21f0411e90411ab2edf3d797397cef2c3a","abstract_canon_sha256":"745e2b584027ad08db8d099d41b3b2c04b8e517cd9fc231d78dbd02e5a3cbd8c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:54:18.778606Z","signature_b64":"NdokbuXAiRpf2HDncLzMXZJzQ5HN0AJ/JGNZsWZ/cLUsbo9rQadGW6wcPlelEqRYhpbQ1ceTEr/E06ENEW9vDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c090bf2db5fb2af5338ad80f5b48e380dcbba131f8a0ee39061a93c2ec3158d6","last_reissued_at":"2026-07-05T10:54:18.778107Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:54:18.778107Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Can Third-parties Read Our Emotions?","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Halima Binte Islam, Jiayi Li, Pranav Narayanan Venkit, Sarah Rajtmajer, Shomir Wilson, Sneha Arya, Yingfan Zhou","submitted_at":"2025-04-25T19:52:21Z","abstract_excerpt":"Natural Language Processing tasks that aim to infer an author's private states, e.g., emotions and opinions, from their written text, typically rely on datasets annotated by third-party annotators. However, the assumption that third-party annotators can accurately capture authors' private states remains largely unexamined. In this study, we present human subjects experiments on emotion recognition tasks that directly compare third-party annotations with first-party (author-provided) emotion labels. Our findings reveal significant limitations in third-party annotations-whether provided by human"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.18673","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/2504.18673/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":"2504.18673","created_at":"2026-07-05T10:54:18.778164+00:00"},{"alias_kind":"arxiv_version","alias_value":"2504.18673v1","created_at":"2026-07-05T10:54:18.778164+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.18673","created_at":"2026-07-05T10:54:18.778164+00:00"},{"alias_kind":"pith_short_12","alias_value":"YCIL6LNV7MVP","created_at":"2026-07-05T10:54:18.778164+00:00"},{"alias_kind":"pith_short_16","alias_value":"YCIL6LNV7MVPKM4K","created_at":"2026-07-05T10:54:18.778164+00:00"},{"alias_kind":"pith_short_8","alias_value":"YCIL6LNV","created_at":"2026-07-05T10:54:18.778164+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/YCIL6LNV7MVPKM4K3AHVWSHDQD","json":"https://pith.science/pith/YCIL6LNV7MVPKM4K3AHVWSHDQD.json","graph_json":"https://pith.science/api/pith-number/YCIL6LNV7MVPKM4K3AHVWSHDQD/graph.json","events_json":"https://pith.science/api/pith-number/YCIL6LNV7MVPKM4K3AHVWSHDQD/events.json","paper":"https://pith.science/paper/YCIL6LNV"},"agent_actions":{"view_html":"https://pith.science/pith/YCIL6LNV7MVPKM4K3AHVWSHDQD","download_json":"https://pith.science/pith/YCIL6LNV7MVPKM4K3AHVWSHDQD.json","view_paper":"https://pith.science/paper/YCIL6LNV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2504.18673&json=true","fetch_graph":"https://pith.science/api/pith-number/YCIL6LNV7MVPKM4K3AHVWSHDQD/graph.json","fetch_events":"https://pith.science/api/pith-number/YCIL6LNV7MVPKM4K3AHVWSHDQD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YCIL6LNV7MVPKM4K3AHVWSHDQD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YCIL6LNV7MVPKM4K3AHVWSHDQD/action/storage_attestation","attest_author":"https://pith.science/pith/YCIL6LNV7MVPKM4K3AHVWSHDQD/action/author_attestation","sign_citation":"https://pith.science/pith/YCIL6LNV7MVPKM4K3AHVWSHDQD/action/citation_signature","submit_replication":"https://pith.science/pith/YCIL6LNV7MVPKM4K3AHVWSHDQD/action/replication_record"}},"created_at":"2026-07-05T10:54:18.778164+00:00","updated_at":"2026-07-05T10:54:18.778164+00:00"}