{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:766ZOBMO3DIG4T23VDCNBKINDQ","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":"78e5a55d083c7c1da30ccb7c202a2ab55eaea1a994f1b71fb2923cd457420f80","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T15:47:33Z","title_canon_sha256":"77a5df443e80e6d55074285bb4aa6f88d4b920d831abc9d6eab00fe33c485147"},"schema_version":"1.0","source":{"id":"2605.28642","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28642","created_at":"2026-05-28T02:04:58Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28642v1","created_at":"2026-05-28T02:04:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28642","created_at":"2026-05-28T02:04:58Z"},{"alias_kind":"pith_short_12","alias_value":"766ZOBMO3DIG","created_at":"2026-05-28T02:04:58Z"},{"alias_kind":"pith_short_16","alias_value":"766ZOBMO3DIG4T23","created_at":"2026-05-28T02:04:58Z"},{"alias_kind":"pith_short_8","alias_value":"766ZOBMO","created_at":"2026-05-28T02:04:58Z"}],"graph_snapshots":[{"event_id":"sha256:6c6b729c4cb43f7fa98c68aad126bed963520f43b6e21ee289e6eca557a162d0","target":"graph","created_at":"2026-05-28T02:04:58Z","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/2605.28642/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal large language models (MLLMs) have demonstrated significant potential for speech-to-text translation (S2TT). However, existing deployment paradigms face critical challenges: pure on-device models suffer from resource constraints, while centralized cloud systems incur severe privacy risks and bandwidth bottlenecks by transmitting raw voice data. Furthermore, most models exhibit English-centric biases, restricting many-to-many translation scaling. In this paper, we propose Edge-cloud Speech Recognition and Translation (ESRT), a privacy-preserving and bandwidth-efficient collaborative ","authors_text":"Bing Qin, Bo Yang, Kaiyuan Liu, Ming Liu, Yang Xiang, Yexing Du, Youcheng Pan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T15:47:33Z","title":"Bandwidth-Efficient and Privacy-Preserving Edge-Cloud Many-to-Many Speech Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28642","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":"sha256:4c78bb9b3c0a49eb3407a811eb20a1b5771869d71830ba8fcc37c3620c495aed","target":"record","created_at":"2026-05-28T02:04:58Z","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":"78e5a55d083c7c1da30ccb7c202a2ab55eaea1a994f1b71fb2923cd457420f80","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T15:47:33Z","title_canon_sha256":"77a5df443e80e6d55074285bb4aa6f88d4b920d831abc9d6eab00fe33c485147"},"schema_version":"1.0","source":{"id":"2605.28642","kind":"arxiv","version":1}},"canonical_sha256":"ffbd97058ed8d06e4f5ba8c4d0a90d1c38c253f5f27846f876927d53fdf18cc3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ffbd97058ed8d06e4f5ba8c4d0a90d1c38c253f5f27846f876927d53fdf18cc3","first_computed_at":"2026-05-28T02:04:58.676954Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T02:04:58.676954Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wVZH0h8TeNTNNlVtvlkwb7gNcImbUC9S4irs2Q5fKAANeE6eRffPKRsqgcpfmKcKudRZ5pPTsKwPbAxaAWRsBQ==","signature_status":"signed_v1","signed_at":"2026-05-28T02:04:58.677368Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.28642","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c78bb9b3c0a49eb3407a811eb20a1b5771869d71830ba8fcc37c3620c495aed","sha256:6c6b729c4cb43f7fa98c68aad126bed963520f43b6e21ee289e6eca557a162d0"],"state_sha256":"98a8936c95a531cdc7553a261546acc181badff99614b151deb8335f9d885da5"}