{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GBA25JCPQ5T4NC4ZJAF43HMHVW","short_pith_number":"pith:GBA25JCP","canonical_record":{"source":{"id":"2505.14648","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-20T17:36:41Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"4df7c189b4dd781d05895b4916b6dcbb49fff48c2114acfd248be1ed33687140","abstract_canon_sha256":"1c77daea4b0bbcbf0077a790a2ff7c878b69bd8409b75dfa56f0ec7eb3dc7f41"},"schema_version":"1.0"},"canonical_sha256":"3041aea44f8767c68b99480bcd9d87ad8ce4f2f21934cc6f5830cb50ee510b55","source":{"kind":"arxiv","id":"2505.14648","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.14648","created_at":"2026-07-05T11:06:17Z"},{"alias_kind":"arxiv_version","alias_value":"2505.14648v1","created_at":"2026-07-05T11:06:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.14648","created_at":"2026-07-05T11:06:17Z"},{"alias_kind":"pith_short_12","alias_value":"GBA25JCPQ5T4","created_at":"2026-07-05T11:06:17Z"},{"alias_kind":"pith_short_16","alias_value":"GBA25JCPQ5T4NC4Z","created_at":"2026-07-05T11:06:17Z"},{"alias_kind":"pith_short_8","alias_value":"GBA25JCP","created_at":"2026-07-05T11:06:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GBA25JCPQ5T4NC4ZJAF43HMHVW","target":"record","payload":{"canonical_record":{"source":{"id":"2505.14648","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-20T17:36:41Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"4df7c189b4dd781d05895b4916b6dcbb49fff48c2114acfd248be1ed33687140","abstract_canon_sha256":"1c77daea4b0bbcbf0077a790a2ff7c878b69bd8409b75dfa56f0ec7eb3dc7f41"},"schema_version":"1.0"},"canonical_sha256":"3041aea44f8767c68b99480bcd9d87ad8ce4f2f21934cc6f5830cb50ee510b55","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:06:17.085511Z","signature_b64":"Bfus68Ta19/dVANkuFVMYqE/rSOVyzh4F3WKg9Y1Tj0tT1EWQ8te9jZteGwAzkeRHxcYk0PMq01XMDP7V/wfCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3041aea44f8767c68b99480bcd9d87ad8ce4f2f21934cc6f5830cb50ee510b55","last_reissued_at":"2026-07-05T11:06:17.084933Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:06:17.084933Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.14648","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":"2026-07-05T11:06:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hNn7wsDtqaonz7I2rBAN5yf3Jgy7zeKroJfIzm7794aC1UmKIhZ9OT9bJL7Sk12N4Z5VUf5pua5ZN7NkNal0Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T18:44:56.082371Z"},"content_sha256":"5cd7e3bb2dc51c97fad0640083429e9840fd78a77257a357b14059120c048f73","schema_version":"1.0","event_id":"sha256:5cd7e3bb2dc51c97fad0640083429e9840fd78a77257a357b14059120c048f73"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GBA25JCPQ5T4NC4ZJAF43HMHVW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Vox-Profile: A Speech Foundation Model Benchmark for Characterizing Diverse Speaker and Speech Traits","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Anfeng Xu, Dani Byrd, Helin Wang, Jihwan Lee, Laureano Moro-Velazquez, Najim Dehak, Shrikanth Narayanan, Thanathai Lertpetchpun, Thomas Thebaud, Tiantian Feng, Xuan Shi, Yoonjeong Lee","submitted_at":"2025-05-20T17:36:41Z","abstract_excerpt":"We introduce Vox-Profile, a comprehensive benchmark to characterize rich speaker and speech traits using speech foundation models. Unlike existing works that focus on a single dimension of speaker traits, Vox-Profile provides holistic and multi-dimensional profiles that reflect both static speaker traits (e.g., age, sex, accent) and dynamic speech properties (e.g., emotion, speech flow). This benchmark is grounded in speech science and linguistics, developed with domain experts to accurately index speaker and speech characteristics. We report benchmark experiments using over 15 publicly availa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.14648","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/2505.14648/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":"2026-07-05T11:06:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rT5qokE5RajTCLJCnq4tiqfTa/xWnse1LM/A90iO/JpRFh2oMP/5+814TUz3LTZG3cd6G5XCZPhmqhpb5MueDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T18:44:56.082876Z"},"content_sha256":"97c0cc2520ab9b2cf66295924f77d30d955e823bcf07d6f78c4e56d95b1f8679","schema_version":"1.0","event_id":"sha256:97c0cc2520ab9b2cf66295924f77d30d955e823bcf07d6f78c4e56d95b1f8679"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GBA25JCPQ5T4NC4ZJAF43HMHVW/bundle.json","state_url":"https://pith.science/pith/GBA25JCPQ5T4NC4ZJAF43HMHVW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GBA25JCPQ5T4NC4ZJAF43HMHVW/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":"2026-08-10T18:44:56Z","links":{"resolver":"https://pith.science/pith/GBA25JCPQ5T4NC4ZJAF43HMHVW","bundle":"https://pith.science/pith/GBA25JCPQ5T4NC4ZJAF43HMHVW/bundle.json","state":"https://pith.science/pith/GBA25JCPQ5T4NC4ZJAF43HMHVW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GBA25JCPQ5T4NC4ZJAF43HMHVW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GBA25JCPQ5T4NC4ZJAF43HMHVW","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":"1c77daea4b0bbcbf0077a790a2ff7c878b69bd8409b75dfa56f0ec7eb3dc7f41","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-20T17:36:41Z","title_canon_sha256":"4df7c189b4dd781d05895b4916b6dcbb49fff48c2114acfd248be1ed33687140"},"schema_version":"1.0","source":{"id":"2505.14648","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.14648","created_at":"2026-07-05T11:06:17Z"},{"alias_kind":"arxiv_version","alias_value":"2505.14648v1","created_at":"2026-07-05T11:06:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.14648","created_at":"2026-07-05T11:06:17Z"},{"alias_kind":"pith_short_12","alias_value":"GBA25JCPQ5T4","created_at":"2026-07-05T11:06:17Z"},{"alias_kind":"pith_short_16","alias_value":"GBA25JCPQ5T4NC4Z","created_at":"2026-07-05T11:06:17Z"},{"alias_kind":"pith_short_8","alias_value":"GBA25JCP","created_at":"2026-07-05T11:06:17Z"}],"graph_snapshots":[{"event_id":"sha256:97c0cc2520ab9b2cf66295924f77d30d955e823bcf07d6f78c4e56d95b1f8679","target":"graph","created_at":"2026-07-05T11:06:17Z","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/2505.14648/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce Vox-Profile, a comprehensive benchmark to characterize rich speaker and speech traits using speech foundation models. Unlike existing works that focus on a single dimension of speaker traits, Vox-Profile provides holistic and multi-dimensional profiles that reflect both static speaker traits (e.g., age, sex, accent) and dynamic speech properties (e.g., emotion, speech flow). This benchmark is grounded in speech science and linguistics, developed with domain experts to accurately index speaker and speech characteristics. We report benchmark experiments using over 15 publicly availa","authors_text":"Anfeng Xu, Dani Byrd, Helin Wang, Jihwan Lee, Laureano Moro-Velazquez, Najim Dehak, Shrikanth Narayanan, Thanathai Lertpetchpun, Thomas Thebaud, Tiantian Feng, Xuan Shi, Yoonjeong Lee","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-20T17:36:41Z","title":"Vox-Profile: A Speech Foundation Model Benchmark for Characterizing Diverse Speaker and Speech Traits"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.14648","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":"sha256:5cd7e3bb2dc51c97fad0640083429e9840fd78a77257a357b14059120c048f73","target":"record","created_at":"2026-07-05T11:06:17Z","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":"1c77daea4b0bbcbf0077a790a2ff7c878b69bd8409b75dfa56f0ec7eb3dc7f41","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-20T17:36:41Z","title_canon_sha256":"4df7c189b4dd781d05895b4916b6dcbb49fff48c2114acfd248be1ed33687140"},"schema_version":"1.0","source":{"id":"2505.14648","kind":"arxiv","version":1}},"canonical_sha256":"3041aea44f8767c68b99480bcd9d87ad8ce4f2f21934cc6f5830cb50ee510b55","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3041aea44f8767c68b99480bcd9d87ad8ce4f2f21934cc6f5830cb50ee510b55","first_computed_at":"2026-07-05T11:06:17.084933Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:17.084933Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Bfus68Ta19/dVANkuFVMYqE/rSOVyzh4F3WKg9Y1Tj0tT1EWQ8te9jZteGwAzkeRHxcYk0PMq01XMDP7V/wfCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:17.085511Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.14648","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5cd7e3bb2dc51c97fad0640083429e9840fd78a77257a357b14059120c048f73","sha256:97c0cc2520ab9b2cf66295924f77d30d955e823bcf07d6f78c4e56d95b1f8679"],"state_sha256":"79344c442647ddf0ebfb778292754cf250afe6e061611f552dbc706f00a31cdb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kxzb9ba0zWDFYhqYeUnrsRocY4nke9dUONj6r6k4UZTjT0dE6cKRdSJj3v+QLgfQuagvfdlqeo2nzrDRmnj3DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T18:44:56.086532Z","bundle_sha256":"b0f294c783c10125eadadae9a599baeccb889fbb3a86684029c4a69289b9cf0d"}}