{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6RFSO56QQNXMKHAC5TK5EOR6JP","short_pith_number":"pith:6RFSO56Q","canonical_record":{"source":{"id":"2503.07269","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-10T12:49:31Z","cross_cats_sorted":[],"title_canon_sha256":"5aaa3e44b861a1f8d4a794e767f2a6efee5718685b4e471e19e65a0d73052e74","abstract_canon_sha256":"b5365ccd753e51ff24c3b70774499df12e5da216bfcbc324a91fc29187adad96"},"schema_version":"1.0"},"canonical_sha256":"f44b2777d0836ec51c02ecd5d23a3e4bd260db051d89d453291cff0b98e7270e","source":{"kind":"arxiv","id":"2503.07269","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.07269","created_at":"2026-07-05T10:53:16Z"},{"alias_kind":"arxiv_version","alias_value":"2503.07269v2","created_at":"2026-07-05T10:53:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.07269","created_at":"2026-07-05T10:53:16Z"},{"alias_kind":"pith_short_12","alias_value":"6RFSO56QQNXM","created_at":"2026-07-05T10:53:16Z"},{"alias_kind":"pith_short_16","alias_value":"6RFSO56QQNXMKHAC","created_at":"2026-07-05T10:53:16Z"},{"alias_kind":"pith_short_8","alias_value":"6RFSO56Q","created_at":"2026-07-05T10:53:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6RFSO56QQNXMKHAC5TK5EOR6JP","target":"record","payload":{"canonical_record":{"source":{"id":"2503.07269","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-10T12:49:31Z","cross_cats_sorted":[],"title_canon_sha256":"5aaa3e44b861a1f8d4a794e767f2a6efee5718685b4e471e19e65a0d73052e74","abstract_canon_sha256":"b5365ccd753e51ff24c3b70774499df12e5da216bfcbc324a91fc29187adad96"},"schema_version":"1.0"},"canonical_sha256":"f44b2777d0836ec51c02ecd5d23a3e4bd260db051d89d453291cff0b98e7270e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:53:16.233428Z","signature_b64":"GgIBdcAPlZHsm+dAICUki6YrwtEOIgA1gLrSv2JR3b3jW85tSIr5GbSmd7zW90l0NRPYMRaoEGUW5o/Q7hbdAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f44b2777d0836ec51c02ecd5d23a3e4bd260db051d89d453291cff0b98e7270e","last_reissued_at":"2026-07-05T10:53:16.232893Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:53:16.232893Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.07269","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:53:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H3MTDvxTYJjckCOkXb9+2DmFSwQLMCsz094T8N12wr3UzyJa2QPbKE7OtW89wTOljnL/jKYvJBSWhZgc5SRYAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T13:25:30.559529Z"},"content_sha256":"19e69634cb72bed2b41cda6d85e84f3c65a567145f94301f5eb722d6090df144","schema_version":"1.0","event_id":"sha256:19e69634cb72bed2b41cda6d85e84f3c65a567145f94301f5eb722d6090df144"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6RFSO56QQNXMKHAC5TK5EOR6JP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Abinew Ali Ayele, Alexander Panchenko, Alham Fikri Aji, Christine de Kock, Daniela Teodorescu, David Ifeoluwa Adelani, Felermino Ali, Ibrahim Said Ahmad, Idris Abdulmumin, Jan Philip Wahle, Meriem Beloucif, Nedjma Ousidhoum, Nirmal Surange, Oana Ignat, Saif M. Mohammad, Seid Muhie Yimam, Shamsuddeen Hassan Muhammad, Tadesse Destaw Belay, Terry Ruas, Vladimir Araujo, Yi Zhou","submitted_at":"2025-03-10T12:49:31Z","abstract_excerpt":"We present our shared task on text-based emotion detection, covering more than 30 languages from seven distinct language families. These languages are predominantly low-resource and are spoken across various continents. The data instances are multi-labeled with six emotional classes, with additional datasets in 11 languages annotated for emotion intensity. Participants were asked to predict labels in three tracks: (a) multilabel emotion detection, (b) emotion intensity score detection, and (c) cross-lingual emotion detection.\n  The task attracted over 700 participants. We received final submis"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.07269","kind":"arxiv","version":2},"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/2503.07269/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":"2026-07-05T10:53:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xy9UE01AgFkGe541j0hut1JNQW9lxdRzBGFUBGEoc40O7eUqx5orknvLv8g3p1tPTDWS8DhnFnQkyxFdqfxtDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T13:25:30.560031Z"},"content_sha256":"9bc2d4c8ca839a40e72b78c1ca5e053e8147e9c7c21ef7bc21d79d9cac013930","schema_version":"1.0","event_id":"sha256:9bc2d4c8ca839a40e72b78c1ca5e053e8147e9c7c21ef7bc21d79d9cac013930"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6RFSO56QQNXMKHAC5TK5EOR6JP/bundle.json","state_url":"https://pith.science/pith/6RFSO56QQNXMKHAC5TK5EOR6JP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6RFSO56QQNXMKHAC5TK5EOR6JP/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":"2026-08-05T13:25:30Z","links":{"resolver":"https://pith.science/pith/6RFSO56QQNXMKHAC5TK5EOR6JP","bundle":"https://pith.science/pith/6RFSO56QQNXMKHAC5TK5EOR6JP/bundle.json","state":"https://pith.science/pith/6RFSO56QQNXMKHAC5TK5EOR6JP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6RFSO56QQNXMKHAC5TK5EOR6JP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6RFSO56QQNXMKHAC5TK5EOR6JP","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":"b5365ccd753e51ff24c3b70774499df12e5da216bfcbc324a91fc29187adad96","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-10T12:49:31Z","title_canon_sha256":"5aaa3e44b861a1f8d4a794e767f2a6efee5718685b4e471e19e65a0d73052e74"},"schema_version":"1.0","source":{"id":"2503.07269","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.07269","created_at":"2026-07-05T10:53:16Z"},{"alias_kind":"arxiv_version","alias_value":"2503.07269v2","created_at":"2026-07-05T10:53:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.07269","created_at":"2026-07-05T10:53:16Z"},{"alias_kind":"pith_short_12","alias_value":"6RFSO56QQNXM","created_at":"2026-07-05T10:53:16Z"},{"alias_kind":"pith_short_16","alias_value":"6RFSO56QQNXMKHAC","created_at":"2026-07-05T10:53:16Z"},{"alias_kind":"pith_short_8","alias_value":"6RFSO56Q","created_at":"2026-07-05T10:53:16Z"}],"graph_snapshots":[{"event_id":"sha256:9bc2d4c8ca839a40e72b78c1ca5e053e8147e9c7c21ef7bc21d79d9cac013930","target":"graph","created_at":"2026-07-05T10:53:16Z","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/2503.07269/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present our shared task on text-based emotion detection, covering more than 30 languages from seven distinct language families. These languages are predominantly low-resource and are spoken across various continents. The data instances are multi-labeled with six emotional classes, with additional datasets in 11 languages annotated for emotion intensity. Participants were asked to predict labels in three tracks: (a) multilabel emotion detection, (b) emotion intensity score detection, and (c) cross-lingual emotion detection.\n  The task attracted over 700 participants. We received final submis","authors_text":"Abinew Ali Ayele, Alexander Panchenko, Alham Fikri Aji, Christine de Kock, Daniela Teodorescu, David Ifeoluwa Adelani, Felermino Ali, Ibrahim Said Ahmad, Idris Abdulmumin, Jan Philip Wahle, Meriem Beloucif, Nedjma Ousidhoum, Nirmal Surange, Oana Ignat, Saif M. Mohammad, Seid Muhie Yimam, Shamsuddeen Hassan Muhammad, Tadesse Destaw Belay, Terry Ruas, Vladimir Araujo, Yi Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-10T12:49:31Z","title":"SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.07269","kind":"arxiv","version":2},"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":"sha256:19e69634cb72bed2b41cda6d85e84f3c65a567145f94301f5eb722d6090df144","target":"record","created_at":"2026-07-05T10:53:16Z","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":"b5365ccd753e51ff24c3b70774499df12e5da216bfcbc324a91fc29187adad96","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-10T12:49:31Z","title_canon_sha256":"5aaa3e44b861a1f8d4a794e767f2a6efee5718685b4e471e19e65a0d73052e74"},"schema_version":"1.0","source":{"id":"2503.07269","kind":"arxiv","version":2}},"canonical_sha256":"f44b2777d0836ec51c02ecd5d23a3e4bd260db051d89d453291cff0b98e7270e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f44b2777d0836ec51c02ecd5d23a3e4bd260db051d89d453291cff0b98e7270e","first_computed_at":"2026-07-05T10:53:16.232893Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:53:16.232893Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GgIBdcAPlZHsm+dAICUki6YrwtEOIgA1gLrSv2JR3b3jW85tSIr5GbSmd7zW90l0NRPYMRaoEGUW5o/Q7hbdAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:53:16.233428Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.07269","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:19e69634cb72bed2b41cda6d85e84f3c65a567145f94301f5eb722d6090df144","sha256:9bc2d4c8ca839a40e72b78c1ca5e053e8147e9c7c21ef7bc21d79d9cac013930"],"state_sha256":"a7094a6c2fc53ea1f14692c3fe7de76e1ab74844752ee8cd64a3cde59964d5e9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EUjF2QScCQRdriuReqlmQKHqJ9jqn+m5ONS4g5ovk/yUJ5oIcbVK1rw6gaeByndrZhHNr787G9E2hQhZvklhBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T13:25:30.563692Z","bundle_sha256":"6da74422fcd678ed04335b28fce0a11618b7ad3b7f02c0c84f53ae5a8425df00"}}