{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:L2NB3I2LDXBXYX4BDFPIWV4T5E","short_pith_number":"pith:L2NB3I2L","schema_version":"1.0","canonical_sha256":"5e9a1da34b1dc37c5f81195e8b5793e909a372590e82c0ca25492b31b1c92c98","source":{"kind":"arxiv","id":"2606.08748","version":1},"attestation_state":"computed","paper":{"title":"HydraQE: OSU's Submission for the IWSLT 2026 Speech Translation Metrics Shared Task","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Eric Fosler-Lussier, Kevin Krahn","submitted_at":"2026-06-07T17:38:15Z","abstract_excerpt":"We present HydraQE, our contribution to the IWSLT 2026 Speech Translation Metrics shared task. HydraQE is an end-to-end, reference-free quality estimation (QE) system for speech translation built on a Qwen3-ASR backbone, which accepts source audio and a translation hypothesis as joint input. Hidden states from all backbone layers are combined via a learnable sparsemax scalar mix, then re-encoded by a lightweight bidirectional Transformer to enable full cross-modal interaction prior to pooling into a shared embedding. Three independent prediction heads are trained on complementary supervision s"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.08748","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-07T17:38:15Z","cross_cats_sorted":[],"title_canon_sha256":"6e5f0162ba86503d35b9bfe13ea9090f96ad502bfa9814ad359e453a851253c3","abstract_canon_sha256":"75d33d20f0e7354ad067106480479fb1e7a080faef7eda932281fca4ca7f417c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T02:07:37.036721Z","signature_b64":"lpH3JdqaMbfD6So5H2Y1EdhTS/Jt7Z8HqVi4p8WOkDIt9WBdaNg6KnPtLyDAu1IC8jVyLM7iTK2Q7yQWTwwBCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5e9a1da34b1dc37c5f81195e8b5793e909a372590e82c0ca25492b31b1c92c98","last_reissued_at":"2026-06-09T02:07:37.035715Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T02:07:37.035715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"HydraQE: OSU's Submission for the IWSLT 2026 Speech Translation Metrics Shared Task","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Eric Fosler-Lussier, Kevin Krahn","submitted_at":"2026-06-07T17:38:15Z","abstract_excerpt":"We present HydraQE, our contribution to the IWSLT 2026 Speech Translation Metrics shared task. HydraQE is an end-to-end, reference-free quality estimation (QE) system for speech translation built on a Qwen3-ASR backbone, which accepts source audio and a translation hypothesis as joint input. Hidden states from all backbone layers are combined via a learnable sparsemax scalar mix, then re-encoded by a lightweight bidirectional Transformer to enable full cross-modal interaction prior to pooling into a shared embedding. Three independent prediction heads are trained on complementary supervision s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.08748","kind":"arxiv","version":1},"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/2606.08748/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.08748","created_at":"2026-06-09T02:07:37.035865+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.08748v1","created_at":"2026-06-09T02:07:37.035865+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.08748","created_at":"2026-06-09T02:07:37.035865+00:00"},{"alias_kind":"pith_short_12","alias_value":"L2NB3I2LDXBX","created_at":"2026-06-09T02:07:37.035865+00:00"},{"alias_kind":"pith_short_16","alias_value":"L2NB3I2LDXBXYX4B","created_at":"2026-06-09T02:07:37.035865+00:00"},{"alias_kind":"pith_short_8","alias_value":"L2NB3I2L","created_at":"2026-06-09T02:07:37.035865+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/L2NB3I2LDXBXYX4BDFPIWV4T5E","json":"https://pith.science/pith/L2NB3I2LDXBXYX4BDFPIWV4T5E.json","graph_json":"https://pith.science/api/pith-number/L2NB3I2LDXBXYX4BDFPIWV4T5E/graph.json","events_json":"https://pith.science/api/pith-number/L2NB3I2LDXBXYX4BDFPIWV4T5E/events.json","paper":"https://pith.science/paper/L2NB3I2L"},"agent_actions":{"view_html":"https://pith.science/pith/L2NB3I2LDXBXYX4BDFPIWV4T5E","download_json":"https://pith.science/pith/L2NB3I2LDXBXYX4BDFPIWV4T5E.json","view_paper":"https://pith.science/paper/L2NB3I2L","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.08748&json=true","fetch_graph":"https://pith.science/api/pith-number/L2NB3I2LDXBXYX4BDFPIWV4T5E/graph.json","fetch_events":"https://pith.science/api/pith-number/L2NB3I2LDXBXYX4BDFPIWV4T5E/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/L2NB3I2LDXBXYX4BDFPIWV4T5E/action/timestamp_anchor","attest_storage":"https://pith.science/pith/L2NB3I2LDXBXYX4BDFPIWV4T5E/action/storage_attestation","attest_author":"https://pith.science/pith/L2NB3I2LDXBXYX4BDFPIWV4T5E/action/author_attestation","sign_citation":"https://pith.science/pith/L2NB3I2LDXBXYX4BDFPIWV4T5E/action/citation_signature","submit_replication":"https://pith.science/pith/L2NB3I2LDXBXYX4BDFPIWV4T5E/action/replication_record"}},"created_at":"2026-06-09T02:07:37.035865+00:00","updated_at":"2026-06-09T02:07:37.035865+00:00"}