{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:KQCGEEF3QLV2UF4YXAW5WCHJ4X","short_pith_number":"pith:KQCGEEF3","canonical_record":{"source":{"id":"2607.00968","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-01T14:04:48Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"55d4f03dce0f71c704eeec1cda101bcf44f67f12075803e60f00259b7817e75b","abstract_canon_sha256":"475c6cbe4ba50a73c6228f4699630b1711bd5082eb409e547c060f4c6da5dafd"},"schema_version":"1.0"},"canonical_sha256":"54046210bb82ebaa1798b82ddb08e9e5df030c34f0f6e94333ebb2f727cc34c3","source":{"kind":"arxiv","id":"2607.00968","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.00968","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"arxiv_version","alias_value":"2607.00968v1","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00968","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"pith_short_12","alias_value":"KQCGEEF3QLV2","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"pith_short_16","alias_value":"KQCGEEF3QLV2UF4Y","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"pith_short_8","alias_value":"KQCGEEF3","created_at":"2026-07-02T01:18:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:KQCGEEF3QLV2UF4YXAW5WCHJ4X","target":"record","payload":{"canonical_record":{"source":{"id":"2607.00968","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-01T14:04:48Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"55d4f03dce0f71c704eeec1cda101bcf44f67f12075803e60f00259b7817e75b","abstract_canon_sha256":"475c6cbe4ba50a73c6228f4699630b1711bd5082eb409e547c060f4c6da5dafd"},"schema_version":"1.0"},"canonical_sha256":"54046210bb82ebaa1798b82ddb08e9e5df030c34f0f6e94333ebb2f727cc34c3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-02T01:18:24.738026Z","signature_b64":"Oh3HOtKbVT26tMlHsfKMPpvXMnJ3xlcmHhigkbu+Kryvy5sVo6LVvjvIeQONeRZdvnfAKXYhpsaOoZ+AnZ2BDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"54046210bb82ebaa1798b82ddb08e9e5df030c34f0f6e94333ebb2f727cc34c3","last_reissued_at":"2026-07-02T01:18:24.737666Z","signature_status":"signed_v1","first_computed_at":"2026-07-02T01:18:24.737666Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.00968","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-02T01:18:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YBC4qIOME+4VyOFzJpYcHQsFqUIIH/ZKKBU9IjHvduRAHTzU1vubAHru/CKpMBi6+V5lkwK+C/q/oZ4rysrzDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T20:12:17.768300Z"},"content_sha256":"95aa3b8c6098acf651374be370cb28dca453c93dfd4941edd594f5f4da5fe3e0","schema_version":"1.0","event_id":"sha256:95aa3b8c6098acf651374be370cb28dca453c93dfd4941edd594f5f4da5fe3e0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:KQCGEEF3QLV2UF4YXAW5WCHJ4X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantifying the Affective Gap: A Zero-Shot Evaluation of LLMs on Fine-Grained Emotion Taxonomies","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.CL","authors_text":"Jessica M. Johnson, Krzysztof J. Rechowicz, Lawrence Obiuwevwi, Sachin Shetty, Sampath Jayarathna, Vikas Ashok","submitted_at":"2026-07-01T14:04:48Z","abstract_excerpt":"Emotion recognition in natural language is a foundational challenge in affective computing, with critical implications for human-computer interaction, mental health support, and conversational AI. This paper presents a rigorous, unified zero-shot evaluation of three leading commercial large language models: Claude (claude-sonnet-4-6), ChatGPT (GPT-5.4), and Gemini (gemini-2.5-flash). The models were queried through their respective production APIs as of April 2026 on a fine-grained 13-class emotion classification task. Using a stratified 1,000-sentence sample from the boltuix/emotions dataset,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00968","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/2607.00968/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-02T01:18:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m+/ud7+epPjfTKs6MczpO1YmbO+Mv97jCeFLthYX1zUCvxQFyy3m4K/ozjqfRr1AoZMRJpewVVuhgFgKqxxnDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T20:12:17.769182Z"},"content_sha256":"7c56ba852e7a052f8aa568ca094c42c0699e391168551318b3c4fe96d5b02495","schema_version":"1.0","event_id":"sha256:7c56ba852e7a052f8aa568ca094c42c0699e391168551318b3c4fe96d5b02495"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KQCGEEF3QLV2UF4YXAW5WCHJ4X/bundle.json","state_url":"https://pith.science/pith/KQCGEEF3QLV2UF4YXAW5WCHJ4X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KQCGEEF3QLV2UF4YXAW5WCHJ4X/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T20:12:17Z","links":{"resolver":"https://pith.science/pith/KQCGEEF3QLV2UF4YXAW5WCHJ4X","bundle":"https://pith.science/pith/KQCGEEF3QLV2UF4YXAW5WCHJ4X/bundle.json","state":"https://pith.science/pith/KQCGEEF3QLV2UF4YXAW5WCHJ4X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KQCGEEF3QLV2UF4YXAW5WCHJ4X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KQCGEEF3QLV2UF4YXAW5WCHJ4X","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":"475c6cbe4ba50a73c6228f4699630b1711bd5082eb409e547c060f4c6da5dafd","cross_cats_sorted":["cs.HC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-01T14:04:48Z","title_canon_sha256":"55d4f03dce0f71c704eeec1cda101bcf44f67f12075803e60f00259b7817e75b"},"schema_version":"1.0","source":{"id":"2607.00968","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.00968","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"arxiv_version","alias_value":"2607.00968v1","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00968","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"pith_short_12","alias_value":"KQCGEEF3QLV2","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"pith_short_16","alias_value":"KQCGEEF3QLV2UF4Y","created_at":"2026-07-02T01:18:24Z"},{"alias_kind":"pith_short_8","alias_value":"KQCGEEF3","created_at":"2026-07-02T01:18:24Z"}],"graph_snapshots":[{"event_id":"sha256:7c56ba852e7a052f8aa568ca094c42c0699e391168551318b3c4fe96d5b02495","target":"graph","created_at":"2026-07-02T01:18:24Z","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/2607.00968/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Emotion recognition in natural language is a foundational challenge in affective computing, with critical implications for human-computer interaction, mental health support, and conversational AI. This paper presents a rigorous, unified zero-shot evaluation of three leading commercial large language models: Claude (claude-sonnet-4-6), ChatGPT (GPT-5.4), and Gemini (gemini-2.5-flash). The models were queried through their respective production APIs as of April 2026 on a fine-grained 13-class emotion classification task. Using a stratified 1,000-sentence sample from the boltuix/emotions dataset,","authors_text":"Jessica M. Johnson, Krzysztof J. Rechowicz, Lawrence Obiuwevwi, Sachin Shetty, Sampath Jayarathna, Vikas Ashok","cross_cats":["cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-01T14:04:48Z","title":"Quantifying the Affective Gap: A Zero-Shot Evaluation of LLMs on Fine-Grained Emotion Taxonomies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00968","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":"sha256:95aa3b8c6098acf651374be370cb28dca453c93dfd4941edd594f5f4da5fe3e0","target":"record","created_at":"2026-07-02T01:18:24Z","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":"475c6cbe4ba50a73c6228f4699630b1711bd5082eb409e547c060f4c6da5dafd","cross_cats_sorted":["cs.HC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-01T14:04:48Z","title_canon_sha256":"55d4f03dce0f71c704eeec1cda101bcf44f67f12075803e60f00259b7817e75b"},"schema_version":"1.0","source":{"id":"2607.00968","kind":"arxiv","version":1}},"canonical_sha256":"54046210bb82ebaa1798b82ddb08e9e5df030c34f0f6e94333ebb2f727cc34c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"54046210bb82ebaa1798b82ddb08e9e5df030c34f0f6e94333ebb2f727cc34c3","first_computed_at":"2026-07-02T01:18:24.737666Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-02T01:18:24.737666Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Oh3HOtKbVT26tMlHsfKMPpvXMnJ3xlcmHhigkbu+Kryvy5sVo6LVvjvIeQONeRZdvnfAKXYhpsaOoZ+AnZ2BDQ==","signature_status":"signed_v1","signed_at":"2026-07-02T01:18:24.738026Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.00968","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:95aa3b8c6098acf651374be370cb28dca453c93dfd4941edd594f5f4da5fe3e0","sha256:7c56ba852e7a052f8aa568ca094c42c0699e391168551318b3c4fe96d5b02495"],"state_sha256":"2d1e7f444913a74072d1e77a2fd042a1d5751de67d56c09d2cfd2badff141f51"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V89Q4vRsn6tIRfBiwFnftWJVxEOJkSvuchgg4xUSxlNqasNidtQ5M4UlXlCjDTMD+Up3NSLEj2/4qQgOBzn4Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T20:12:17.782077Z","bundle_sha256":"0fd9c55ac8d90ac8f8577fa456e22bc9cf94715ca2fd4f52074142b54b9896f2"}}