{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:GTDFEBCUHEAQQTIJGPTSWR6UOY","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":"4cff181d3cd1b115d88fe4ced91810dd66d25bbdef0617b82f3e6d82561d2ccf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2021-04-18T02:03:52Z","title_canon_sha256":"fb1f5a82cf94bbe5c5f0d123cb0e4d3bd454339ab1b6fb8f855dfe94e07c2c82"},"schema_version":"1.0","source":{"id":"2104.08679","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.08679","created_at":"2026-07-05T02:32:54Z"},{"alias_kind":"arxiv_version","alias_value":"2104.08679v1","created_at":"2026-07-05T02:32:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.08679","created_at":"2026-07-05T02:32:54Z"},{"alias_kind":"pith_short_12","alias_value":"GTDFEBCUHEAQ","created_at":"2026-07-05T02:32:54Z"},{"alias_kind":"pith_short_16","alias_value":"GTDFEBCUHEAQQTIJ","created_at":"2026-07-05T02:32:54Z"},{"alias_kind":"pith_short_8","alias_value":"GTDFEBCU","created_at":"2026-07-05T02:32:54Z"}],"graph_snapshots":[{"event_id":"sha256:c1fd8e8309f0e1777a8ad821cf14cdb2a0dded136e76244d9bc3c06dcdb6ebf9","target":"graph","created_at":"2026-07-05T02:32:54Z","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/2104.08679/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"What do word vector representations reveal about the emotions associated with words? In this study, we consider the task of estimating word-level emotion intensity scores for specific emotions, exploring unsupervised, supervised, and finally a self-supervised method of extracting emotional associations from word vector representations. Overall, we find that word vectors carry substantial potential for inducing fine-grained emotion intensity scores, showing a far higher correlation with human ground truth ratings than achieved by state-of-the-art emotion lexicons.","authors_text":"Gerard de Melo, Shahab Raji","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2021-04-18T02:03:52Z","title":"Guilt by Association: Emotion Intensities in Lexical Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.08679","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":"sha256:6dd3d7819e212b2753512a851fbc549a39d1dd9a08d72f86621c34e7bcd8c8aa","target":"record","created_at":"2026-07-05T02:32:54Z","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":"4cff181d3cd1b115d88fe4ced91810dd66d25bbdef0617b82f3e6d82561d2ccf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2021-04-18T02:03:52Z","title_canon_sha256":"fb1f5a82cf94bbe5c5f0d123cb0e4d3bd454339ab1b6fb8f855dfe94e07c2c82"},"schema_version":"1.0","source":{"id":"2104.08679","kind":"arxiv","version":1}},"canonical_sha256":"34c65204543901084d0933e72b47d476065f7bac70233e5ce798da43601bf92a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"34c65204543901084d0933e72b47d476065f7bac70233e5ce798da43601bf92a","first_computed_at":"2026-07-05T02:32:54.817157Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:32:54.817157Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1kq4qy1crw95v8EbLBagfBNzijuhUZSZx5v6fCuRif7cjTRG7Snzpvdlh+fqlbT7ncmjACUXpGF9nPVGgFx/CA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:32:54.817585Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.08679","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6dd3d7819e212b2753512a851fbc549a39d1dd9a08d72f86621c34e7bcd8c8aa","sha256:c1fd8e8309f0e1777a8ad821cf14cdb2a0dded136e76244d9bc3c06dcdb6ebf9"],"state_sha256":"18567f74fc7a2f1ca5624cf62f581b10ca3f054cb870aa75df2bdefe943a1a29"}