{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:O5VHSHHPDKNCXCPPB4TZP45ZLS","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":"0c70ab2fde4b3783006b03c8596e2e59bf458a6b771bd4c6d25e2f3e98c5f7e3","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-06-04T14:05:38Z","title_canon_sha256":"65bc021141879aeb9a3706ef295d6758aaee57871be0740fc5f9185d62c73d43"},"schema_version":"1.0","source":{"id":"2606.06200","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.06200","created_at":"2026-06-05T01:15:37Z"},{"alias_kind":"arxiv_version","alias_value":"2606.06200v1","created_at":"2026-06-05T01:15:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.06200","created_at":"2026-06-05T01:15:37Z"},{"alias_kind":"pith_short_12","alias_value":"O5VHSHHPDKNC","created_at":"2026-06-05T01:15:37Z"},{"alias_kind":"pith_short_16","alias_value":"O5VHSHHPDKNCXCPP","created_at":"2026-06-05T01:15:37Z"},{"alias_kind":"pith_short_8","alias_value":"O5VHSHHP","created_at":"2026-06-05T01:15:37Z"}],"graph_snapshots":[{"event_id":"sha256:0bdedba70ceed9257d2de07f8d790d4b47fb8733b26bd2b63ca9f5b329de2939","target":"graph","created_at":"2026-06-05T01:15:37Z","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/2606.06200/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Zero-shot cross-lingual speech emotion recognition (SER) remains challenging due to distribution mismatches across languages and the lack of emotion annotations in target language. Under such conditions, models trained solely on source-language data frequently suffer from degraded generalization when evaluated on unseen target languages. To address this limitation, we propose an emotion-discriminative representation learning method that integrates supervised contrastive learning and speaker adversarial learning. The contrastive learning promotes cross-lingual emotion alignment, while speaker a","authors_text":"Ding Ma, Jinyi Mi, Tomoki Toda","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-06-04T14:05:38Z","title":"Learning Emotion-discriminative Representations for Zero-Shot Cross-lingual Speech Emotion Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.06200","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":"sha256:56a8d2ef8853da1c0349cf369fa68022ba11e6458c709cdc41223cef440a783c","target":"record","created_at":"2026-06-05T01:15:37Z","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":"0c70ab2fde4b3783006b03c8596e2e59bf458a6b771bd4c6d25e2f3e98c5f7e3","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-06-04T14:05:38Z","title_canon_sha256":"65bc021141879aeb9a3706ef295d6758aaee57871be0740fc5f9185d62c73d43"},"schema_version":"1.0","source":{"id":"2606.06200","kind":"arxiv","version":1}},"canonical_sha256":"776a791cef1a9a2b89ef0f2797f3b95cb59821f2c8bad9b25d70ad5b6303a44a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"776a791cef1a9a2b89ef0f2797f3b95cb59821f2c8bad9b25d70ad5b6303a44a","first_computed_at":"2026-06-05T01:15:37.107071Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-05T01:15:37.107071Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ItELo7WEu0Pr8tXolOgusVN2KwXAU1Lqa7m90SmYu1HVAwvj0z+ADy9YGfl1YhuVFpKZbEnO8WozapKzxt+jAw==","signature_status":"signed_v1","signed_at":"2026-06-05T01:15:37.107598Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.06200","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56a8d2ef8853da1c0349cf369fa68022ba11e6458c709cdc41223cef440a783c","sha256:0bdedba70ceed9257d2de07f8d790d4b47fb8733b26bd2b63ca9f5b329de2939"],"state_sha256":"8d23d743282219c28e0b575dafda23c4b5105906bb2400376f42439fd9cd225f"}