{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:YPO2FJEHAE6AKFC62NVZL3YT6Z","short_pith_number":"pith:YPO2FJEH","canonical_record":{"source":{"id":"2502.11926","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-17T15:39:50Z","cross_cats_sorted":[],"title_canon_sha256":"9b4477e0252054ad6259e8e57e69b056368c275f84e7c35b9e9a1976688d4a3d","abstract_canon_sha256":"377ea891032899f2f357b97540c922f55117b6ffe2fbbee97cff84a64a517a45"},"schema_version":"1.0"},"canonical_sha256":"c3dda2a487013c05145ed36b95ef13f667461e970d88a6609a6c47175f25f07d","source":{"kind":"arxiv","id":"2502.11926","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.11926","created_at":"2026-07-05T11:11:41Z"},{"alias_kind":"arxiv_version","alias_value":"2502.11926v4","created_at":"2026-07-05T11:11:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.11926","created_at":"2026-07-05T11:11:41Z"},{"alias_kind":"pith_short_12","alias_value":"YPO2FJEHAE6A","created_at":"2026-07-05T11:11:41Z"},{"alias_kind":"pith_short_16","alias_value":"YPO2FJEHAE6AKFC6","created_at":"2026-07-05T11:11:41Z"},{"alias_kind":"pith_short_8","alias_value":"YPO2FJEH","created_at":"2026-07-05T11:11:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:YPO2FJEHAE6AKFC62NVZL3YT6Z","target":"record","payload":{"canonical_record":{"source":{"id":"2502.11926","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-17T15:39:50Z","cross_cats_sorted":[],"title_canon_sha256":"9b4477e0252054ad6259e8e57e69b056368c275f84e7c35b9e9a1976688d4a3d","abstract_canon_sha256":"377ea891032899f2f357b97540c922f55117b6ffe2fbbee97cff84a64a517a45"},"schema_version":"1.0"},"canonical_sha256":"c3dda2a487013c05145ed36b95ef13f667461e970d88a6609a6c47175f25f07d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:11:41.804116Z","signature_b64":"yjZmcEBwUoD5dLB8G4k4MDVvxccBckb6Q+CVjT8xv28N5AgTx4Hh9OIO2p1X4MeoCTFAQSsF6YXcGnZj+YBfDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c3dda2a487013c05145ed36b95ef13f667461e970d88a6609a6c47175f25f07d","last_reissued_at":"2026-07-05T11:11:41.803621Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:11:41.803621Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.11926","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:11:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H20rktEQeAudmdJeZeI5XsyLTX1CEyvuXbOVVM1Tn0wkJvvlZMzcwDoQE9Tf2Ex4ZqVcaaG6VrnSvvtETpmrCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T13:50:54.036848Z"},"content_sha256":"f1052bc98d490fb4b4748ec83fe2f0d36b6ff3fe275d9dd9d2c3c1add1e8837f","schema_version":"1.0","event_id":"sha256:f1052bc98d490fb4b4748ec83fe2f0d36b6ff3fe275d9dd9d2c3c1add1e8837f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:YPO2FJEHAE6AKFC62NVZL3YT6Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Alexander Panchenko, Alexandra Ciobotaru, Alham Fikri Aji, Ana-Maria Bucur, Andiswa Bukula, Andrew Piper, Aura Cristina Udrea, Bela Gipp, Charles Henrique Porto Ferreira, Chiamaka Ijeoma Chukwuneke, Christine de Kock, Daniela Teodorescu, Daryna Dementieva, David Ifeoluwa Adelani, Falalu Ibrahim Lawan, Felermino D. M. A. Ali, Florian Valentin Wunderlich, Guanqun Cao, Hanif Muhammad Zhafran, Ibrahim Said Ahmad, Idris Abdulmumin, Ilseyar Alimova, Jan Philip Wahle, Lilian Diana Awuor Wanzare, Manish Shrivastava, Meriem Beloucif, Murja Sani Gadanya, Naomi Baes, Nedjma Ousidhoum, Nikolay Babakov, Nirmal Surange, Oana Ignat, Oumaima Hourrane, Rahmad Mahendra, Rendi Chevi, Robert Geislinger, Rodrigo Tufino Cardenas, Rooweither Mabuya, Saif M. Mohammad, Samuel Rutunda, Shamsuddeen Hassan Muhammad, Sophie Wu, Terry Ruas, Tianhui Zhang, Vitaly Protasov, Vladimir Araujo, Vukosi Marivate, Yi Zhou","submitted_at":"2025-02-17T15:39:50Z","abstract_excerpt":"People worldwide use language in subtle and complex ways to express emotions. Although emotion recognition--an umbrella term for several NLP tasks--impacts various applications within NLP and beyond, most work in this area has focused on high-resource languages. This has led to significant disparities in research efforts and proposed solutions, particularly for under-resourced languages, which often lack high-quality annotated datasets. In this paper, we present BRIGHTER--a collection of multi-labeled, emotion-annotated datasets in 28 different languages and across several domains. BRIGHTER pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.11926","kind":"arxiv","version":4},"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/2502.11926/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":"2026-07-05T11:11:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IqQYHD8aCOp5xJomoSKs/M9izDWjYBHac4SJZIrTYjSuTpldBh7uSDtq3nehT7EHJT/eMWW05RWCLCECLFKYAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T13:50:54.037986Z"},"content_sha256":"f1037ca0bd76aff44fd857f274191f4b0349640867b4dfde39591e7dcc7501aa","schema_version":"1.0","event_id":"sha256:f1037ca0bd76aff44fd857f274191f4b0349640867b4dfde39591e7dcc7501aa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YPO2FJEHAE6AKFC62NVZL3YT6Z/bundle.json","state_url":"https://pith.science/pith/YPO2FJEHAE6AKFC62NVZL3YT6Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YPO2FJEHAE6AKFC62NVZL3YT6Z/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":"2026-08-11T13:50:54Z","links":{"resolver":"https://pith.science/pith/YPO2FJEHAE6AKFC62NVZL3YT6Z","bundle":"https://pith.science/pith/YPO2FJEHAE6AKFC62NVZL3YT6Z/bundle.json","state":"https://pith.science/pith/YPO2FJEHAE6AKFC62NVZL3YT6Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YPO2FJEHAE6AKFC62NVZL3YT6Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YPO2FJEHAE6AKFC62NVZL3YT6Z","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":"377ea891032899f2f357b97540c922f55117b6ffe2fbbee97cff84a64a517a45","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-17T15:39:50Z","title_canon_sha256":"9b4477e0252054ad6259e8e57e69b056368c275f84e7c35b9e9a1976688d4a3d"},"schema_version":"1.0","source":{"id":"2502.11926","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.11926","created_at":"2026-07-05T11:11:41Z"},{"alias_kind":"arxiv_version","alias_value":"2502.11926v4","created_at":"2026-07-05T11:11:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.11926","created_at":"2026-07-05T11:11:41Z"},{"alias_kind":"pith_short_12","alias_value":"YPO2FJEHAE6A","created_at":"2026-07-05T11:11:41Z"},{"alias_kind":"pith_short_16","alias_value":"YPO2FJEHAE6AKFC6","created_at":"2026-07-05T11:11:41Z"},{"alias_kind":"pith_short_8","alias_value":"YPO2FJEH","created_at":"2026-07-05T11:11:41Z"}],"graph_snapshots":[{"event_id":"sha256:f1037ca0bd76aff44fd857f274191f4b0349640867b4dfde39591e7dcc7501aa","target":"graph","created_at":"2026-07-05T11:11:41Z","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/2502.11926/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"People worldwide use language in subtle and complex ways to express emotions. Although emotion recognition--an umbrella term for several NLP tasks--impacts various applications within NLP and beyond, most work in this area has focused on high-resource languages. This has led to significant disparities in research efforts and proposed solutions, particularly for under-resourced languages, which often lack high-quality annotated datasets. In this paper, we present BRIGHTER--a collection of multi-labeled, emotion-annotated datasets in 28 different languages and across several domains. BRIGHTER pr","authors_text":"Alexander Panchenko, Alexandra Ciobotaru, Alham Fikri Aji, Ana-Maria Bucur, Andiswa Bukula, Andrew Piper, Aura Cristina Udrea, Bela Gipp, Charles Henrique Porto Ferreira, Chiamaka Ijeoma Chukwuneke, Christine de Kock, Daniela Teodorescu, Daryna Dementieva, David Ifeoluwa Adelani, Falalu Ibrahim Lawan, Felermino D. M. A. Ali, Florian Valentin Wunderlich, Guanqun Cao, Hanif Muhammad Zhafran, Ibrahim Said Ahmad, Idris Abdulmumin, Ilseyar Alimova, Jan Philip Wahle, Lilian Diana Awuor Wanzare, Manish Shrivastava, Meriem Beloucif, Murja Sani Gadanya, Naomi Baes, Nedjma Ousidhoum, Nikolay Babakov, Nirmal Surange, Oana Ignat, Oumaima Hourrane, Rahmad Mahendra, Rendi Chevi, Robert Geislinger, Rodrigo Tufino Cardenas, Rooweither Mabuya, Saif M. Mohammad, Samuel Rutunda, Shamsuddeen Hassan Muhammad, Sophie Wu, Terry Ruas, Tianhui Zhang, Vitaly Protasov, Vladimir Araujo, Vukosi Marivate, Yi Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-17T15:39:50Z","title":"BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.11926","kind":"arxiv","version":4},"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:f1052bc98d490fb4b4748ec83fe2f0d36b6ff3fe275d9dd9d2c3c1add1e8837f","target":"record","created_at":"2026-07-05T11:11:41Z","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":"377ea891032899f2f357b97540c922f55117b6ffe2fbbee97cff84a64a517a45","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-17T15:39:50Z","title_canon_sha256":"9b4477e0252054ad6259e8e57e69b056368c275f84e7c35b9e9a1976688d4a3d"},"schema_version":"1.0","source":{"id":"2502.11926","kind":"arxiv","version":4}},"canonical_sha256":"c3dda2a487013c05145ed36b95ef13f667461e970d88a6609a6c47175f25f07d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c3dda2a487013c05145ed36b95ef13f667461e970d88a6609a6c47175f25f07d","first_computed_at":"2026-07-05T11:11:41.803621Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:11:41.803621Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yjZmcEBwUoD5dLB8G4k4MDVvxccBckb6Q+CVjT8xv28N5AgTx4Hh9OIO2p1X4MeoCTFAQSsF6YXcGnZj+YBfDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:11:41.804116Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.11926","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f1052bc98d490fb4b4748ec83fe2f0d36b6ff3fe275d9dd9d2c3c1add1e8837f","sha256:f1037ca0bd76aff44fd857f274191f4b0349640867b4dfde39591e7dcc7501aa"],"state_sha256":"d2689e175d9b0eec7e08b0097042da70e6358b9edc611646e5a64a409f98b4ec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qn1EdZBs3I/lNfaVQnnTiiFQI3FCxmqyYyf/6Vz0DvOKHmm7anVHLkodJ/JhpptLsV4XU0Bn/mHFKCR8AQypBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T13:50:54.045808Z","bundle_sha256":"94522431226623f91b8b811ab57a456bbfa572d649445c69144a31c067345af2"}}