{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:RZCUMGD3TDFETJUL4SDWT452XX","short_pith_number":"pith:RZCUMGD3","canonical_record":{"source":{"id":"2209.07384","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-09-15T15:50:27Z","cross_cats_sorted":["cs.AI","eess.AS"],"title_canon_sha256":"f7845fb46cea51bfb509ce4e1bf0784ff526a5b98a8a99edf9811189b44afa3d","abstract_canon_sha256":"edae5317a213900ef1cffe443b4f3c1b4fff983e6a8639ab57b8a3dc2696d03b"},"schema_version":"1.0"},"canonical_sha256":"8e4546187b98ca49a68be48769f3babde5a5f6125fcff8f07732351338260a55","source":{"kind":"arxiv","id":"2209.07384","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.07384","created_at":"2026-07-05T05:01:31Z"},{"alias_kind":"arxiv_version","alias_value":"2209.07384v2","created_at":"2026-07-05T05:01:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.07384","created_at":"2026-07-05T05:01:31Z"},{"alias_kind":"pith_short_12","alias_value":"RZCUMGD3TDFE","created_at":"2026-07-05T05:01:31Z"},{"alias_kind":"pith_short_16","alias_value":"RZCUMGD3TDFETJUL","created_at":"2026-07-05T05:01:31Z"},{"alias_kind":"pith_short_8","alias_value":"RZCUMGD3","created_at":"2026-07-05T05:01:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:RZCUMGD3TDFETJUL4SDWT452XX","target":"record","payload":{"canonical_record":{"source":{"id":"2209.07384","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-09-15T15:50:27Z","cross_cats_sorted":["cs.AI","eess.AS"],"title_canon_sha256":"f7845fb46cea51bfb509ce4e1bf0784ff526a5b98a8a99edf9811189b44afa3d","abstract_canon_sha256":"edae5317a213900ef1cffe443b4f3c1b4fff983e6a8639ab57b8a3dc2696d03b"},"schema_version":"1.0"},"canonical_sha256":"8e4546187b98ca49a68be48769f3babde5a5f6125fcff8f07732351338260a55","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:01:31.462501Z","signature_b64":"aDU4W7+cuVQqoN/IIZWkuOlHVtyCpLWBihYFvqmO+9HP8XtRWoKRg4bdBg7kEIGF0qZkqqLtN/x+FSForvruDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8e4546187b98ca49a68be48769f3babde5a5f6125fcff8f07732351338260a55","last_reissued_at":"2026-07-05T05:01:31.462153Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:01:31.462153Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.07384","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":"2026-07-05T05:01:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HK9LUNu9mbr90Uoo6MzSzD/prpoORv/+Sm9dprRHGEEN9Q2P5mOx2GAaRsHzUgPNbskPpi3+F1WVkdQXgFpcCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T05:53:27.429271Z"},"content_sha256":"4cd2ac655f58ef083c27b7947b3b9d683a8c876ecc547a96b15b76f6116a9041","schema_version":"1.0","event_id":"sha256:4cd2ac655f58ef083c27b7947b3b9d683a8c876ecc547a96b15b76f6116a9041"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:RZCUMGD3TDFETJUL4SDWT452XX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-Supervised Attention Networks and Uncertainty Loss Weighting for Multi-Task Emotion Recognition on Vocal Bursts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","eess.AS"],"primary_cat":"cs.SD","authors_text":"Andreas Triantafyllopoulos, Bj\\\"orn W. Schuller, Meishu Song, Vincent Karas","submitted_at":"2022-09-15T15:50:27Z","abstract_excerpt":"Vocal bursts play an important role in communicating affect, making them valuable for improving speech emotion recognition. Here, we present our approach for classifying vocal bursts and predicting their emotional significance in the ACII Affective Vocal Burst Workshop & Challenge 2022 (A-VB). We use a large self-supervised audio model as shared feature extractor and compare multiple architectures built on classifier chains and attention networks, combined with uncertainty loss weighting strategies. Our approach surpasses the challenge baseline by a wide margin on all four tasks."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.07384","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/2209.07384/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":"2026-07-05T05:01:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zcbcFUPHSAdBrZ8Jjsozx1WkGPWRsQ7XP2e847x3POGk8IOwabVchMhAuTsWyAfmebGOduuQSJ+djK2RJ60PDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T05:53:27.429669Z"},"content_sha256":"7f07c676d9b7e844400968ac7a395000d35c0fd47aa608e8e5f83cbfa76543d9","schema_version":"1.0","event_id":"sha256:7f07c676d9b7e844400968ac7a395000d35c0fd47aa608e8e5f83cbfa76543d9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RZCUMGD3TDFETJUL4SDWT452XX/bundle.json","state_url":"https://pith.science/pith/RZCUMGD3TDFETJUL4SDWT452XX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RZCUMGD3TDFETJUL4SDWT452XX/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":"2026-08-23T05:53:27Z","links":{"resolver":"https://pith.science/pith/RZCUMGD3TDFETJUL4SDWT452XX","bundle":"https://pith.science/pith/RZCUMGD3TDFETJUL4SDWT452XX/bundle.json","state":"https://pith.science/pith/RZCUMGD3TDFETJUL4SDWT452XX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RZCUMGD3TDFETJUL4SDWT452XX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:RZCUMGD3TDFETJUL4SDWT452XX","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":"edae5317a213900ef1cffe443b4f3c1b4fff983e6a8639ab57b8a3dc2696d03b","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-09-15T15:50:27Z","title_canon_sha256":"f7845fb46cea51bfb509ce4e1bf0784ff526a5b98a8a99edf9811189b44afa3d"},"schema_version":"1.0","source":{"id":"2209.07384","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.07384","created_at":"2026-07-05T05:01:31Z"},{"alias_kind":"arxiv_version","alias_value":"2209.07384v2","created_at":"2026-07-05T05:01:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.07384","created_at":"2026-07-05T05:01:31Z"},{"alias_kind":"pith_short_12","alias_value":"RZCUMGD3TDFE","created_at":"2026-07-05T05:01:31Z"},{"alias_kind":"pith_short_16","alias_value":"RZCUMGD3TDFETJUL","created_at":"2026-07-05T05:01:31Z"},{"alias_kind":"pith_short_8","alias_value":"RZCUMGD3","created_at":"2026-07-05T05:01:31Z"}],"graph_snapshots":[{"event_id":"sha256:7f07c676d9b7e844400968ac7a395000d35c0fd47aa608e8e5f83cbfa76543d9","target":"graph","created_at":"2026-07-05T05:01:31Z","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/2209.07384/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vocal bursts play an important role in communicating affect, making them valuable for improving speech emotion recognition. Here, we present our approach for classifying vocal bursts and predicting their emotional significance in the ACII Affective Vocal Burst Workshop & Challenge 2022 (A-VB). We use a large self-supervised audio model as shared feature extractor and compare multiple architectures built on classifier chains and attention networks, combined with uncertainty loss weighting strategies. Our approach surpasses the challenge baseline by a wide margin on all four tasks.","authors_text":"Andreas Triantafyllopoulos, Bj\\\"orn W. Schuller, Meishu Song, Vincent Karas","cross_cats":["cs.AI","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-09-15T15:50:27Z","title":"Self-Supervised Attention Networks and Uncertainty Loss Weighting for Multi-Task Emotion Recognition on Vocal Bursts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.07384","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":"sha256:4cd2ac655f58ef083c27b7947b3b9d683a8c876ecc547a96b15b76f6116a9041","target":"record","created_at":"2026-07-05T05:01:31Z","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":"edae5317a213900ef1cffe443b4f3c1b4fff983e6a8639ab57b8a3dc2696d03b","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-09-15T15:50:27Z","title_canon_sha256":"f7845fb46cea51bfb509ce4e1bf0784ff526a5b98a8a99edf9811189b44afa3d"},"schema_version":"1.0","source":{"id":"2209.07384","kind":"arxiv","version":2}},"canonical_sha256":"8e4546187b98ca49a68be48769f3babde5a5f6125fcff8f07732351338260a55","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8e4546187b98ca49a68be48769f3babde5a5f6125fcff8f07732351338260a55","first_computed_at":"2026-07-05T05:01:31.462153Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:01:31.462153Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aDU4W7+cuVQqoN/IIZWkuOlHVtyCpLWBihYFvqmO+9HP8XtRWoKRg4bdBg7kEIGF0qZkqqLtN/x+FSForvruDA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:01:31.462501Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.07384","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4cd2ac655f58ef083c27b7947b3b9d683a8c876ecc547a96b15b76f6116a9041","sha256:7f07c676d9b7e844400968ac7a395000d35c0fd47aa608e8e5f83cbfa76543d9"],"state_sha256":"768f5a20387b752d56ede90c2b8780f20183f014fd48776b433f55642a844658"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mPDIEN3WFWQiztFX9WGrX1Ta5fx1x1WYXUCfcGN38DwQaZvZpuHhhZ5CGp+GT/g37M0+RA4tJUUhdj0B9aZEDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T05:53:27.433081Z","bundle_sha256":"2897f56490125f139322b04cb071a8cc18103215f168035fddb8010a0e7877a0"}}