{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XW7BOJHQDSTR46BSV6SNKN5FAW","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":"86dcbd4a41a01b729f1c41cffe37f4f21b46272292905653ae9ad1a4e5ab39e8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-12T13:30:12Z","title_canon_sha256":"ffad25501dfea44479bc9f1bfc356ce86d6b7c0670f5c9486ddbd31cd5269d2b"},"schema_version":"1.0","source":{"id":"2602.11933","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.11933","created_at":"2026-06-25T01:17:50Z"},{"alias_kind":"arxiv_version","alias_value":"2602.11933v2","created_at":"2026-06-25T01:17:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.11933","created_at":"2026-06-25T01:17:50Z"},{"alias_kind":"pith_short_12","alias_value":"XW7BOJHQDSTR","created_at":"2026-06-25T01:17:50Z"},{"alias_kind":"pith_short_16","alias_value":"XW7BOJHQDSTR46BS","created_at":"2026-06-25T01:17:50Z"},{"alias_kind":"pith_short_8","alias_value":"XW7BOJHQ","created_at":"2026-06-25T01:17:50Z"}],"graph_snapshots":[{"event_id":"sha256:c84a175bb1ccea28a12ee33c55d480661eb50215274e4ad78fbdafe5ccd6cd69","target":"graph","created_at":"2026-06-25T01:17:50Z","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/2602.11933/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"End-to-End Speech Translation (E2E-ST) has seen significant advancements, yet current models are primarily benchmarked on curated, \"clean\" datasets. This overlooks critical real-world challenges, such as morphological robustness to inflectional variations common in non-native or dialectal speech. In this work, we adapt a text-based adversarial attack targeting inflectional morphology to the speech domain and demonstrate that state-of-the-art E2E-ST models are highly vulnerable it. While adversarial training effectively mitigates such risks in text-based tasks, generating high-quality adversari","authors_text":"Abderrahmane Issam, Gerasimos Spanakis, Jan Scholtes, Yusuf Can Semerci","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-12T13:30:12Z","title":"Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.11933","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":"sha256:9a59ab3d22a749e9c36f39b23f673333ecff9c094ee681dc87725ffc5f8c3397","target":"record","created_at":"2026-06-25T01:17:50Z","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":"86dcbd4a41a01b729f1c41cffe37f4f21b46272292905653ae9ad1a4e5ab39e8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-12T13:30:12Z","title_canon_sha256":"ffad25501dfea44479bc9f1bfc356ce86d6b7c0670f5c9486ddbd31cd5269d2b"},"schema_version":"1.0","source":{"id":"2602.11933","kind":"arxiv","version":2}},"canonical_sha256":"bdbe1724f01ca71e7832afa4d537a505b579e65c08cd7f1ac7ffa526ff6aa605","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bdbe1724f01ca71e7832afa4d537a505b579e65c08cd7f1ac7ffa526ff6aa605","first_computed_at":"2026-06-25T01:17:50.342769Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-25T01:17:50.342769Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rTy/xgBrJhh5c5J/KcMV08Uljl8jBQCiGJBk5zTZcOg48HTWDfg0tojQ9D5X4u2OVcxGrEZbuKNmgEnDUprUBQ==","signature_status":"signed_v1","signed_at":"2026-06-25T01:17:50.343176Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.11933","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9a59ab3d22a749e9c36f39b23f673333ecff9c094ee681dc87725ffc5f8c3397","sha256:c84a175bb1ccea28a12ee33c55d480661eb50215274e4ad78fbdafe5ccd6cd69"],"state_sha256":"f7511a456a0df593dd644cc0a6bfc410f6cc0b26abc823ee92a193e5e79fbba6"}