{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:LKCNEAE5D7TZTEEEP3CCDKIC4V","short_pith_number":"pith:LKCNEAE5","canonical_record":{"source":{"id":"2605.29430","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-28T06:23:31Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"0bf0433c8e56ab5583ec233e7fc15208872a184517d9c02de13fd09eb2c96893","abstract_canon_sha256":"4d5b34abf219e3c03ccecfb33020a36592df9528a29f9df73ded795d48485759"},"schema_version":"1.0"},"canonical_sha256":"5a84d2009d1fe79990847ec421a902e565341d1f78126bf1f52177aa6103941a","source":{"kind":"arxiv","id":"2605.29430","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.29430","created_at":"2026-05-29T01:05:38Z"},{"alias_kind":"arxiv_version","alias_value":"2605.29430v1","created_at":"2026-05-29T01:05:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29430","created_at":"2026-05-29T01:05:38Z"},{"alias_kind":"pith_short_12","alias_value":"LKCNEAE5D7TZ","created_at":"2026-05-29T01:05:38Z"},{"alias_kind":"pith_short_16","alias_value":"LKCNEAE5D7TZTEEE","created_at":"2026-05-29T01:05:38Z"},{"alias_kind":"pith_short_8","alias_value":"LKCNEAE5","created_at":"2026-05-29T01:05:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:LKCNEAE5D7TZTEEEP3CCDKIC4V","target":"record","payload":{"canonical_record":{"source":{"id":"2605.29430","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-28T06:23:31Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"0bf0433c8e56ab5583ec233e7fc15208872a184517d9c02de13fd09eb2c96893","abstract_canon_sha256":"4d5b34abf219e3c03ccecfb33020a36592df9528a29f9df73ded795d48485759"},"schema_version":"1.0"},"canonical_sha256":"5a84d2009d1fe79990847ec421a902e565341d1f78126bf1f52177aa6103941a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T01:05:38.572552Z","signature_b64":"N87s6lkvsjO4iffZMJaGe/5jD+FT2Z16yIkfPTprlPRhtvZblfl6xBNIbREwzbL7xtBVaH8zqtMZgCrwD/3HAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5a84d2009d1fe79990847ec421a902e565341d1f78126bf1f52177aa6103941a","last_reissued_at":"2026-05-29T01:05:38.571836Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T01:05:38.571836Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.29430","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":"2026-05-29T01:05:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"woFsvwbxGpSQ0/qGhfs4AAPmj9QqAyV36szEeLdJbJQ9BvA2i1jobjA+Mmp0/tNedvSXamnC84AhlJiOvBnZCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T18:17:49.291980Z"},"content_sha256":"e18747bca61b59adcd96da9fea90d87414816f352b5b78ad1f873970741cfb76","schema_version":"1.0","event_id":"sha256:e18747bca61b59adcd96da9fea90d87414816f352b5b78ad1f873970741cfb76"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:LKCNEAE5D7TZTEEEP3CCDKIC4V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Human-Like Interactive Speech Recognition With Agentic Correction and Semantic Evaluation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Kai Yu, Peng Wang, Qinyuan Chen, Wupeng Wang, Xiangang Li, Xie Chen, Xinjian Zhao, Xipeng Qiu, Yanqiao Zhu, Zhifu Gao, Zixuan Jiang","submitted_at":"2026-05-28T06:23:31Z","abstract_excerpt":"Automatic speech recognition (ASR) is a core component of human--computer interaction and an increasingly important front-end for LLM-based assistants and agents. However, most current ASR systems still follow a single-pass paradigm, which is poorly aligned with human communication, where misunderstandings are resolved through iterative clarification and refinement. This mismatch makes it difficult to correct meaning-critical errors once they occur. Meanwhile, token-level metrics such as WER or CER cannot adequately reflect such a problem. To address these limitations, we formulate \\emph{Inter"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29430","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/2605.29430/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":"2026-05-29T01:05:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YtBdTAO5bPAmZEJeKZ10SrhREM+WvtmWgHAwJXbjSZoboQwM2xhhFHvdP2CNuD0mFwEBU+tMntFCa9HKCdovCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T18:17:49.292364Z"},"content_sha256":"f84b115f2ea64a3377246b1c2376f10b95146b8fb0b0b2bcd3d342af50a35ca7","schema_version":"1.0","event_id":"sha256:f84b115f2ea64a3377246b1c2376f10b95146b8fb0b0b2bcd3d342af50a35ca7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LKCNEAE5D7TZTEEEP3CCDKIC4V/bundle.json","state_url":"https://pith.science/pith/LKCNEAE5D7TZTEEEP3CCDKIC4V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LKCNEAE5D7TZTEEEP3CCDKIC4V/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":"2026-06-03T18:17:49Z","links":{"resolver":"https://pith.science/pith/LKCNEAE5D7TZTEEEP3CCDKIC4V","bundle":"https://pith.science/pith/LKCNEAE5D7TZTEEEP3CCDKIC4V/bundle.json","state":"https://pith.science/pith/LKCNEAE5D7TZTEEEP3CCDKIC4V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LKCNEAE5D7TZTEEEP3CCDKIC4V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LKCNEAE5D7TZTEEEP3CCDKIC4V","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":"4d5b34abf219e3c03ccecfb33020a36592df9528a29f9df73ded795d48485759","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-28T06:23:31Z","title_canon_sha256":"0bf0433c8e56ab5583ec233e7fc15208872a184517d9c02de13fd09eb2c96893"},"schema_version":"1.0","source":{"id":"2605.29430","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.29430","created_at":"2026-05-29T01:05:38Z"},{"alias_kind":"arxiv_version","alias_value":"2605.29430v1","created_at":"2026-05-29T01:05:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29430","created_at":"2026-05-29T01:05:38Z"},{"alias_kind":"pith_short_12","alias_value":"LKCNEAE5D7TZ","created_at":"2026-05-29T01:05:38Z"},{"alias_kind":"pith_short_16","alias_value":"LKCNEAE5D7TZTEEE","created_at":"2026-05-29T01:05:38Z"},{"alias_kind":"pith_short_8","alias_value":"LKCNEAE5","created_at":"2026-05-29T01:05:38Z"}],"graph_snapshots":[{"event_id":"sha256:f84b115f2ea64a3377246b1c2376f10b95146b8fb0b0b2bcd3d342af50a35ca7","target":"graph","created_at":"2026-05-29T01:05:38Z","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/2605.29430/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic speech recognition (ASR) is a core component of human--computer interaction and an increasingly important front-end for LLM-based assistants and agents. However, most current ASR systems still follow a single-pass paradigm, which is poorly aligned with human communication, where misunderstandings are resolved through iterative clarification and refinement. This mismatch makes it difficult to correct meaning-critical errors once they occur. Meanwhile, token-level metrics such as WER or CER cannot adequately reflect such a problem. To address these limitations, we formulate \\emph{Inter","authors_text":"Kai Yu, Peng Wang, Qinyuan Chen, Wupeng Wang, Xiangang Li, Xie Chen, Xinjian Zhao, Xipeng Qiu, Yanqiao Zhu, Zhifu Gao, Zixuan Jiang","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-28T06:23:31Z","title":"Towards Human-Like Interactive Speech Recognition With Agentic Correction and Semantic Evaluation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29430","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:e18747bca61b59adcd96da9fea90d87414816f352b5b78ad1f873970741cfb76","target":"record","created_at":"2026-05-29T01:05:38Z","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":"4d5b34abf219e3c03ccecfb33020a36592df9528a29f9df73ded795d48485759","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-28T06:23:31Z","title_canon_sha256":"0bf0433c8e56ab5583ec233e7fc15208872a184517d9c02de13fd09eb2c96893"},"schema_version":"1.0","source":{"id":"2605.29430","kind":"arxiv","version":1}},"canonical_sha256":"5a84d2009d1fe79990847ec421a902e565341d1f78126bf1f52177aa6103941a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5a84d2009d1fe79990847ec421a902e565341d1f78126bf1f52177aa6103941a","first_computed_at":"2026-05-29T01:05:38.571836Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T01:05:38.571836Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N87s6lkvsjO4iffZMJaGe/5jD+FT2Z16yIkfPTprlPRhtvZblfl6xBNIbREwzbL7xtBVaH8zqtMZgCrwD/3HAA==","signature_status":"signed_v1","signed_at":"2026-05-29T01:05:38.572552Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.29430","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e18747bca61b59adcd96da9fea90d87414816f352b5b78ad1f873970741cfb76","sha256:f84b115f2ea64a3377246b1c2376f10b95146b8fb0b0b2bcd3d342af50a35ca7"],"state_sha256":"7901d3ee07eb78e3a0fdd9678ba02be8be60415b833bb3725db514cc4669b067"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EWf12NcgrMUxtSI+HKGyi4GQkNuMpCh2Vs8Wul09xal2vugAVub8EbkkTpTWKsIZbmbZGkL6fZZRjDxzgYvaDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T18:17:49.294440Z","bundle_sha256":"ba22db3a5098d57bb605f87cdb26dbf5d946dabd4c60e402b399bad9ac08559a"}}