{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:K2EN4VXTQGYUCBRKWSW4IHJTX6","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":"b83b2b12b8ce399381e6b2bc17503525b6244c070f98334a89783324c26eb20c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-04T03:28:04Z","title_canon_sha256":"38ce29c85cca6cf72c6bd1af5e336ef5db54cdafef059875fa193dcc61ac677b"},"schema_version":"1.0","source":{"id":"2508.02018","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.02018","created_at":"2026-07-05T11:47:49Z"},{"alias_kind":"arxiv_version","alias_value":"2508.02018v1","created_at":"2026-07-05T11:47:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.02018","created_at":"2026-07-05T11:47:49Z"},{"alias_kind":"pith_short_12","alias_value":"K2EN4VXTQGYU","created_at":"2026-07-05T11:47:49Z"},{"alias_kind":"pith_short_16","alias_value":"K2EN4VXTQGYUCBRK","created_at":"2026-07-05T11:47:49Z"},{"alias_kind":"pith_short_8","alias_value":"K2EN4VXT","created_at":"2026-07-05T11:47:49Z"}],"graph_snapshots":[{"event_id":"sha256:e7ce432581eef0d1273d848b4594992018abbf919b063e1092f5e7bf2483e8e4","target":"graph","created_at":"2026-07-05T11:47:49Z","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/2508.02018/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large audio-language models (LALMs) have achieved near-human performance in sentence-level transcription and emotion recognition. However, existing evaluations focus mainly on surface-level perception, leaving the capacity of models for contextual and inference-driven reasoning in speech-based scenarios insufficiently examined. To address this gap, we introduce SpeechR, a unified benchmark for evaluating reasoning over speech in large audio-language models. SpeechR evaluates models along three key dimensions: factual retrieval, procedural inference, and normative judgment. It includes three di","authors_text":"Ling Chen, Meng Fang, Wanqi Yang, Yanda Li, Yunchao Wei","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-04T03:28:04Z","title":"SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.02018","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":"sha256:5940e97b1492d4184a3b074aaaee68f6a8c55c97ecc39c4996c5bb11780183c5","target":"record","created_at":"2026-07-05T11:47:49Z","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":"b83b2b12b8ce399381e6b2bc17503525b6244c070f98334a89783324c26eb20c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-04T03:28:04Z","title_canon_sha256":"38ce29c85cca6cf72c6bd1af5e336ef5db54cdafef059875fa193dcc61ac677b"},"schema_version":"1.0","source":{"id":"2508.02018","kind":"arxiv","version":1}},"canonical_sha256":"5688de56f381b141062ab4adc41d33bf8cb244e788355b56903b7fb0ba152fe5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5688de56f381b141062ab4adc41d33bf8cb244e788355b56903b7fb0ba152fe5","first_computed_at":"2026-07-05T11:47:49.637111Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:47:49.637111Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"meUugNz6gYfQlstr1YrkojPBCiJA8Z6nI4eJbo50n/VuuTJGOytyUSxEa4+g9VKZFgojhV5akbjMh87Ct8VhBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:47:49.637698Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.02018","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5940e97b1492d4184a3b074aaaee68f6a8c55c97ecc39c4996c5bb11780183c5","sha256:e7ce432581eef0d1273d848b4594992018abbf919b063e1092f5e7bf2483e8e4"],"state_sha256":"f63bef923ef8ef5d668e045b5d26dad0db2017ca0b5fc814b7b4c941f5174231"}