{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:Z3UAUO5B3A4BAZTXK543JNSGTL","short_pith_number":"pith:Z3UAUO5B","canonical_record":{"source":{"id":"2505.16168","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-22T03:13:40Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"3bd7a806a31f2dd8f38c47daf273cba266971e3e22cebaa2a48b7baf50f2e1b9","abstract_canon_sha256":"8905dedfcd304c27aa4a61bcd73dafc79a2bde9074c4ee8e9da88f7abf1d875f"},"schema_version":"1.0"},"canonical_sha256":"cee80a3ba1d8381066775779b4b6469ae830d12deb2c789569e49a5ee015d77d","source":{"kind":"arxiv","id":"2505.16168","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16168","created_at":"2026-07-05T11:07:31Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16168v1","created_at":"2026-07-05T11:07:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16168","created_at":"2026-07-05T11:07:31Z"},{"alias_kind":"pith_short_12","alias_value":"Z3UAUO5B3A4B","created_at":"2026-07-05T11:07:31Z"},{"alias_kind":"pith_short_16","alias_value":"Z3UAUO5B3A4BAZTX","created_at":"2026-07-05T11:07:31Z"},{"alias_kind":"pith_short_8","alias_value":"Z3UAUO5B","created_at":"2026-07-05T11:07:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:Z3UAUO5B3A4BAZTXK543JNSGTL","target":"record","payload":{"canonical_record":{"source":{"id":"2505.16168","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-22T03:13:40Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"3bd7a806a31f2dd8f38c47daf273cba266971e3e22cebaa2a48b7baf50f2e1b9","abstract_canon_sha256":"8905dedfcd304c27aa4a61bcd73dafc79a2bde9074c4ee8e9da88f7abf1d875f"},"schema_version":"1.0"},"canonical_sha256":"cee80a3ba1d8381066775779b4b6469ae830d12deb2c789569e49a5ee015d77d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:07:31.137553Z","signature_b64":"ZmSCxFuvzE+o6ybf4TNuWZbonVvc0LtNrOTaapO1mcmBZfEH32zMpBUHNCneL737XSXNg+BSU0QiAAmJgGgwCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cee80a3ba1d8381066775779b4b6469ae830d12deb2c789569e49a5ee015d77d","last_reissued_at":"2026-07-05T11:07:31.137016Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:07:31.137016Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.16168","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:07:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0VTCJXRe5a2JdsNkZFbaCO+6smcfTAKHBrKkaN1FtZSQ8P/K+Lms11tYrenn1cGHu8k5cQ1iyATE0U4fFWSfCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T00:24:01.203824Z"},"content_sha256":"d001bd3ac391516d5a86220d2d3860a57ff7b80bbd3364d8c8b1bb2a4cbecf0a","schema_version":"1.0","event_id":"sha256:d001bd3ac391516d5a86220d2d3860a57ff7b80bbd3364d8c8b1bb2a4cbecf0a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:Z3UAUO5B3A4BAZTXK543JNSGTL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Selective Invocation for Multilingual ASR: A Cost-effective Approach Adapting to Speech Recognition Difficulty","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Hongfei Xue, Jun Zhang, Lei Xie, Xuelong Geng, Yufeng Tang","submitted_at":"2025-05-22T03:13:40Z","abstract_excerpt":"Although multilingual automatic speech recognition (ASR) systems have significantly advanced, enabling a single model to handle multiple languages, inherent linguistic differences and data imbalances challenge SOTA performance across all languages. While language identification (LID) models can route speech to the appropriate ASR model, they incur high costs from invoking SOTA commercial models and suffer from inaccuracies due to misclassification. To overcome these, we propose SIMA, a selective invocation for multilingual ASR that adapts to the difficulty level of the input speech. Built on a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16168","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/2505.16168/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":"2026-07-05T11:07:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xwldSvvFZfWJf2tXMjcutc3TRHjRB2upDrXaespSEY0rpTpht6oIzvW7wnmR/iz/QTIInAbaeCbDn10ihjeNDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T00:24:01.205576Z"},"content_sha256":"708263c48e438d2d6f512000ddd8794ea939a363a2710106d810c63e9d8ce37c","schema_version":"1.0","event_id":"sha256:708263c48e438d2d6f512000ddd8794ea939a363a2710106d810c63e9d8ce37c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z3UAUO5B3A4BAZTXK543JNSGTL/bundle.json","state_url":"https://pith.science/pith/Z3UAUO5B3A4BAZTXK543JNSGTL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z3UAUO5B3A4BAZTXK543JNSGTL/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":"2026-08-18T00:24:01Z","links":{"resolver":"https://pith.science/pith/Z3UAUO5B3A4BAZTXK543JNSGTL","bundle":"https://pith.science/pith/Z3UAUO5B3A4BAZTXK543JNSGTL/bundle.json","state":"https://pith.science/pith/Z3UAUO5B3A4BAZTXK543JNSGTL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z3UAUO5B3A4BAZTXK543JNSGTL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Z3UAUO5B3A4BAZTXK543JNSGTL","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":"8905dedfcd304c27aa4a61bcd73dafc79a2bde9074c4ee8e9da88f7abf1d875f","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-22T03:13:40Z","title_canon_sha256":"3bd7a806a31f2dd8f38c47daf273cba266971e3e22cebaa2a48b7baf50f2e1b9"},"schema_version":"1.0","source":{"id":"2505.16168","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16168","created_at":"2026-07-05T11:07:31Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16168v1","created_at":"2026-07-05T11:07:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16168","created_at":"2026-07-05T11:07:31Z"},{"alias_kind":"pith_short_12","alias_value":"Z3UAUO5B3A4B","created_at":"2026-07-05T11:07:31Z"},{"alias_kind":"pith_short_16","alias_value":"Z3UAUO5B3A4BAZTX","created_at":"2026-07-05T11:07:31Z"},{"alias_kind":"pith_short_8","alias_value":"Z3UAUO5B","created_at":"2026-07-05T11:07:31Z"}],"graph_snapshots":[{"event_id":"sha256:708263c48e438d2d6f512000ddd8794ea939a363a2710106d810c63e9d8ce37c","target":"graph","created_at":"2026-07-05T11:07:31Z","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/2505.16168/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although multilingual automatic speech recognition (ASR) systems have significantly advanced, enabling a single model to handle multiple languages, inherent linguistic differences and data imbalances challenge SOTA performance across all languages. While language identification (LID) models can route speech to the appropriate ASR model, they incur high costs from invoking SOTA commercial models and suffer from inaccuracies due to misclassification. To overcome these, we propose SIMA, a selective invocation for multilingual ASR that adapts to the difficulty level of the input speech. Built on a","authors_text":"Hongfei Xue, Jun Zhang, Lei Xie, Xuelong Geng, Yufeng Tang","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-22T03:13:40Z","title":"Selective Invocation for Multilingual ASR: A Cost-effective Approach Adapting to Speech Recognition Difficulty"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16168","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:d001bd3ac391516d5a86220d2d3860a57ff7b80bbd3364d8c8b1bb2a4cbecf0a","target":"record","created_at":"2026-07-05T11:07:31Z","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":"8905dedfcd304c27aa4a61bcd73dafc79a2bde9074c4ee8e9da88f7abf1d875f","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-22T03:13:40Z","title_canon_sha256":"3bd7a806a31f2dd8f38c47daf273cba266971e3e22cebaa2a48b7baf50f2e1b9"},"schema_version":"1.0","source":{"id":"2505.16168","kind":"arxiv","version":1}},"canonical_sha256":"cee80a3ba1d8381066775779b4b6469ae830d12deb2c789569e49a5ee015d77d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cee80a3ba1d8381066775779b4b6469ae830d12deb2c789569e49a5ee015d77d","first_computed_at":"2026-07-05T11:07:31.137016Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:31.137016Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZmSCxFuvzE+o6ybf4TNuWZbonVvc0LtNrOTaapO1mcmBZfEH32zMpBUHNCneL737XSXNg+BSU0QiAAmJgGgwCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:31.137553Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.16168","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d001bd3ac391516d5a86220d2d3860a57ff7b80bbd3364d8c8b1bb2a4cbecf0a","sha256:708263c48e438d2d6f512000ddd8794ea939a363a2710106d810c63e9d8ce37c"],"state_sha256":"c9c6d914594c799b62206dc4a4e3d392b26454ef0c7e5b2499b6271c9863d434"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v6ArzHrvXnQ0OQyyDRAoHBLslbUQIv0Xo0F6yrweMwMvZie7D/dG9pU2t4R3CCnTQIzmXzj7u7SnGPglxL9UAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T00:24:01.218714Z","bundle_sha256":"9bb2612f31b136380a26ba28a64a5653d0e63ef007022192ffe1372fb452ab60"}}