{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:HNSHKTK42C7PZCOSDEY6YNCVAA","short_pith_number":"pith:HNSHKTK4","canonical_record":{"source":{"id":"2606.19381","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-06-14T07:56:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9ed22c5867fd06a6e98b47ce158a992fbe2abd60d587e598a2b3f48af6a7b513","abstract_canon_sha256":"06ea4673ae84e058144968b2128c41c29c26e4fa31b2f9315331bcb5a5e1e21f"},"schema_version":"1.0"},"canonical_sha256":"3b64754d5cd0befc89d21931ec3455003cbd915567ef9c71c62e4c771999089b","source":{"kind":"arxiv","id":"2606.19381","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19381","created_at":"2026-06-19T16:12:23Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19381v1","created_at":"2026-06-19T16:12:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19381","created_at":"2026-06-19T16:12:23Z"},{"alias_kind":"pith_short_12","alias_value":"HNSHKTK42C7P","created_at":"2026-06-19T16:12:23Z"},{"alias_kind":"pith_short_16","alias_value":"HNSHKTK42C7PZCOS","created_at":"2026-06-19T16:12:23Z"},{"alias_kind":"pith_short_8","alias_value":"HNSHKTK4","created_at":"2026-06-19T16:12:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:HNSHKTK42C7PZCOSDEY6YNCVAA","target":"record","payload":{"canonical_record":{"source":{"id":"2606.19381","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-06-14T07:56:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9ed22c5867fd06a6e98b47ce158a992fbe2abd60d587e598a2b3f48af6a7b513","abstract_canon_sha256":"06ea4673ae84e058144968b2128c41c29c26e4fa31b2f9315331bcb5a5e1e21f"},"schema_version":"1.0"},"canonical_sha256":"3b64754d5cd0befc89d21931ec3455003cbd915567ef9c71c62e4c771999089b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:12:23.693260Z","signature_b64":"NdkwY9BwqIUSj4Uhi3ECzEG4nSHi5bJcAJo8xYfb8OaxRRZPMPDdE3+NAKKQXgiGpouBlxe9JC6PNV/Q8ICDCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b64754d5cd0befc89d21931ec3455003cbd915567ef9c71c62e4c771999089b","last_reissued_at":"2026-06-19T16:12:23.692905Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:12:23.692905Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.19381","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":"2026-06-19T16:12:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pfj7HrNsOHfKlEkp9mrU1rMZATNu5mWVZ2IqZaPLbi1s45dmrz74gb3XG/M2swEACtxA9vG+DsMLiwlP8NuzCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T18:23:15.150584Z"},"content_sha256":"16f018ffdf8b1f182aec5c531f5fed84d7151c38fc100515958aacbaf4ec40db","schema_version":"1.0","event_id":"sha256:16f018ffdf8b1f182aec5c531f5fed84d7151c38fc100515958aacbaf4ec40db"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:HNSHKTK42C7PZCOSDEY6YNCVAA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Code-Switching ASR with Code-Mixing Guided Synthetic Speech","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SD","authors_text":"Eng Siong Chng, Haoyang Li, Hardik B. Sailor, Hexin Liu, Jeremy H. M. Wong, Leibny Paola Garcia-Perera, Shreyas Gopal, Yizhou Peng, Yue Heng Yeo","submitted_at":"2026-06-14T07:56:36Z","abstract_excerpt":"Code-switch (CS) Automatic Speech Recognition (ASR) remains challenging due to limited availability of high quality CS text-speech pairs for training. Although synthetic data augmentation via Text-to-speech (TTS) has been explored, existing CS TTS approaches primarily optimise reconstruction fidelity and do not explicitly enforce language-boundary consistency, thereby limiting their effectiveness for CS ASR augmentation. This paper proposes a code-mixing guided preference-learning framework that steers synthetic speech generation toward improved code-switching fidelity using the Code Mixing In"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19381","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/2606.19381/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":"2026-06-19T16:12:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OMu9gTpQSTT0Qq52jSA5YfrPHmDmVYpY0trD/BDVdbU2vKWEkEey+rRMWh7aK5obuW9k5Yh06zCYbDQa/IFfBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T18:23:15.150953Z"},"content_sha256":"dda3979f1ab2b340638e9b99f523e57d07bafc1c8f1328ecc990893f65a7a829","schema_version":"1.0","event_id":"sha256:dda3979f1ab2b340638e9b99f523e57d07bafc1c8f1328ecc990893f65a7a829"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HNSHKTK42C7PZCOSDEY6YNCVAA/bundle.json","state_url":"https://pith.science/pith/HNSHKTK42C7PZCOSDEY6YNCVAA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HNSHKTK42C7PZCOSDEY6YNCVAA/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":"2026-06-27T18:23:15Z","links":{"resolver":"https://pith.science/pith/HNSHKTK42C7PZCOSDEY6YNCVAA","bundle":"https://pith.science/pith/HNSHKTK42C7PZCOSDEY6YNCVAA/bundle.json","state":"https://pith.science/pith/HNSHKTK42C7PZCOSDEY6YNCVAA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HNSHKTK42C7PZCOSDEY6YNCVAA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HNSHKTK42C7PZCOSDEY6YNCVAA","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":"06ea4673ae84e058144968b2128c41c29c26e4fa31b2f9315331bcb5a5e1e21f","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-06-14T07:56:36Z","title_canon_sha256":"9ed22c5867fd06a6e98b47ce158a992fbe2abd60d587e598a2b3f48af6a7b513"},"schema_version":"1.0","source":{"id":"2606.19381","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19381","created_at":"2026-06-19T16:12:23Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19381v1","created_at":"2026-06-19T16:12:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19381","created_at":"2026-06-19T16:12:23Z"},{"alias_kind":"pith_short_12","alias_value":"HNSHKTK42C7P","created_at":"2026-06-19T16:12:23Z"},{"alias_kind":"pith_short_16","alias_value":"HNSHKTK42C7PZCOS","created_at":"2026-06-19T16:12:23Z"},{"alias_kind":"pith_short_8","alias_value":"HNSHKTK4","created_at":"2026-06-19T16:12:23Z"}],"graph_snapshots":[{"event_id":"sha256:dda3979f1ab2b340638e9b99f523e57d07bafc1c8f1328ecc990893f65a7a829","target":"graph","created_at":"2026-06-19T16:12:23Z","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/2606.19381/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Code-switch (CS) Automatic Speech Recognition (ASR) remains challenging due to limited availability of high quality CS text-speech pairs for training. Although synthetic data augmentation via Text-to-speech (TTS) has been explored, existing CS TTS approaches primarily optimise reconstruction fidelity and do not explicitly enforce language-boundary consistency, thereby limiting their effectiveness for CS ASR augmentation. This paper proposes a code-mixing guided preference-learning framework that steers synthetic speech generation toward improved code-switching fidelity using the Code Mixing In","authors_text":"Eng Siong Chng, Haoyang Li, Hardik B. Sailor, Hexin Liu, Jeremy H. M. Wong, Leibny Paola Garcia-Perera, Shreyas Gopal, Yizhou Peng, Yue Heng Yeo","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-06-14T07:56:36Z","title":"Improving Code-Switching ASR with Code-Mixing Guided Synthetic Speech"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19381","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":"sha256:16f018ffdf8b1f182aec5c531f5fed84d7151c38fc100515958aacbaf4ec40db","target":"record","created_at":"2026-06-19T16:12:23Z","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":"06ea4673ae84e058144968b2128c41c29c26e4fa31b2f9315331bcb5a5e1e21f","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-06-14T07:56:36Z","title_canon_sha256":"9ed22c5867fd06a6e98b47ce158a992fbe2abd60d587e598a2b3f48af6a7b513"},"schema_version":"1.0","source":{"id":"2606.19381","kind":"arxiv","version":1}},"canonical_sha256":"3b64754d5cd0befc89d21931ec3455003cbd915567ef9c71c62e4c771999089b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b64754d5cd0befc89d21931ec3455003cbd915567ef9c71c62e4c771999089b","first_computed_at":"2026-06-19T16:12:23.692905Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:12:23.692905Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NdkwY9BwqIUSj4Uhi3ECzEG4nSHi5bJcAJo8xYfb8OaxRRZPMPDdE3+NAKKQXgiGpouBlxe9JC6PNV/Q8ICDCQ==","signature_status":"signed_v1","signed_at":"2026-06-19T16:12:23.693260Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.19381","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16f018ffdf8b1f182aec5c531f5fed84d7151c38fc100515958aacbaf4ec40db","sha256:dda3979f1ab2b340638e9b99f523e57d07bafc1c8f1328ecc990893f65a7a829"],"state_sha256":"1492448e9e30153aa616561d47326d23a53614da7e640be9d2cbdca386698fd2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tct8qVrv4HlmQBBbXZZv/E42r3ClWiRRxdaipvVz55S10QPAruKLFYA2V1MvXmf+yBys4E3VPwVyoPegkOi2Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T18:23:15.152949Z","bundle_sha256":"87bbbc3a08d01b155616a896d2d3ede7eb07e93fcec1edaab3ddaa6d5d2882ab"}}