{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:AFTWUCJFAJT72HOYRZQWZX4GIU","short_pith_number":"pith:AFTWUCJF","canonical_record":{"source":{"id":"2410.18298","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-23T22:03:09Z","cross_cats_sorted":["cs.CL","cs.SD","eess.AS"],"title_canon_sha256":"78c0f3bff87611f5d55c0b0c694aba953d2dd3d9d9606c46a9fa91f741987951","abstract_canon_sha256":"7bd6805ccb58e0d1cf49d196fc2cd4d5bae81c24ae495326494d49fe48d13b31"},"schema_version":"1.0"},"canonical_sha256":"01676a09250267fd1dd88e616cdf86452c8ad3de8b25f0eca9417db0c0e40c44","source":{"kind":"arxiv","id":"2410.18298","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.18298","created_at":"2026-07-05T09:25:20Z"},{"alias_kind":"arxiv_version","alias_value":"2410.18298v1","created_at":"2026-07-05T09:25:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.18298","created_at":"2026-07-05T09:25:20Z"},{"alias_kind":"pith_short_12","alias_value":"AFTWUCJFAJT7","created_at":"2026-07-05T09:25:20Z"},{"alias_kind":"pith_short_16","alias_value":"AFTWUCJFAJT72HOY","created_at":"2026-07-05T09:25:20Z"},{"alias_kind":"pith_short_8","alias_value":"AFTWUCJF","created_at":"2026-07-05T09:25:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:AFTWUCJFAJT72HOYRZQWZX4GIU","target":"record","payload":{"canonical_record":{"source":{"id":"2410.18298","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-23T22:03:09Z","cross_cats_sorted":["cs.CL","cs.SD","eess.AS"],"title_canon_sha256":"78c0f3bff87611f5d55c0b0c694aba953d2dd3d9d9606c46a9fa91f741987951","abstract_canon_sha256":"7bd6805ccb58e0d1cf49d196fc2cd4d5bae81c24ae495326494d49fe48d13b31"},"schema_version":"1.0"},"canonical_sha256":"01676a09250267fd1dd88e616cdf86452c8ad3de8b25f0eca9417db0c0e40c44","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:25:20.915972Z","signature_b64":"+nkDxKoU3McPXAqVnBCrO4Blq0q4qbWj3tPLzPYq0hN/QrGVtyATm2Isq2NiVUk9JEjmgRLgKbE01jBhnJAZDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"01676a09250267fd1dd88e616cdf86452c8ad3de8b25f0eca9417db0c0e40c44","last_reissued_at":"2026-07-05T09:25:20.915453Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:25:20.915453Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.18298","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":"2026-07-05T09:25:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6zZdXRbPbXZEVi5kG2NscXH7zvxMD1iJrQvUzUTwZloo0SJomots7gxY3r+3LigjgBW+ZznpWQJSwQYLgOfFDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T12:47:29.953810Z"},"content_sha256":"adf2a934a9fe07f9e4d6708594553be4f9716cae1f0fa61e99c60c0d72904d17","schema_version":"1.0","event_id":"sha256:adf2a934a9fe07f9e4d6708594553be4f9716cae1f0fa61e99c60c0d72904d17"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:AFTWUCJFAJT72HOYRZQWZX4GIU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust and Explainable Depression Identification from Speech Using Vowel-Based Ensemble Learning Approaches","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.SD","eess.AS"],"primary_cat":"cs.LG","authors_text":"Kexin Feng, Theodora Chaspari","submitted_at":"2024-10-23T22:03:09Z","abstract_excerpt":"This study investigates explainable machine learning algorithms for identifying depression from speech. Grounded in evidence from speech production that depression affects motor control and vowel generation, pre-trained vowel-based embeddings, that integrate semantically meaningful linguistic units, are used. Following that, an ensemble learning approach decomposes the problem into constituent parts characterized by specific depression symptoms and severity levels. Two methods are explored: a \"bottom-up\" approach with 8 models predicting individual Patient Health Questionnaire-8 (PHQ-8) item s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.18298","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/2410.18298/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":"2026-07-05T09:25:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oh98waqYT1V0nOpColVlLIFT4D0h3rLBKkMBdbOWPmEiBFA2nvqgrQ+bIPDmQlO2x6BP501reU9BUlwoam3jBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T12:47:29.954302Z"},"content_sha256":"c0d65ee6becb9a0ca9c7453bdc94655b946667cffb95caec2249bcb15464eb13","schema_version":"1.0","event_id":"sha256:c0d65ee6becb9a0ca9c7453bdc94655b946667cffb95caec2249bcb15464eb13"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AFTWUCJFAJT72HOYRZQWZX4GIU/bundle.json","state_url":"https://pith.science/pith/AFTWUCJFAJT72HOYRZQWZX4GIU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AFTWUCJFAJT72HOYRZQWZX4GIU/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":"2026-08-23T12:47:29Z","links":{"resolver":"https://pith.science/pith/AFTWUCJFAJT72HOYRZQWZX4GIU","bundle":"https://pith.science/pith/AFTWUCJFAJT72HOYRZQWZX4GIU/bundle.json","state":"https://pith.science/pith/AFTWUCJFAJT72HOYRZQWZX4GIU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AFTWUCJFAJT72HOYRZQWZX4GIU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AFTWUCJFAJT72HOYRZQWZX4GIU","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":"7bd6805ccb58e0d1cf49d196fc2cd4d5bae81c24ae495326494d49fe48d13b31","cross_cats_sorted":["cs.CL","cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-23T22:03:09Z","title_canon_sha256":"78c0f3bff87611f5d55c0b0c694aba953d2dd3d9d9606c46a9fa91f741987951"},"schema_version":"1.0","source":{"id":"2410.18298","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.18298","created_at":"2026-07-05T09:25:20Z"},{"alias_kind":"arxiv_version","alias_value":"2410.18298v1","created_at":"2026-07-05T09:25:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.18298","created_at":"2026-07-05T09:25:20Z"},{"alias_kind":"pith_short_12","alias_value":"AFTWUCJFAJT7","created_at":"2026-07-05T09:25:20Z"},{"alias_kind":"pith_short_16","alias_value":"AFTWUCJFAJT72HOY","created_at":"2026-07-05T09:25:20Z"},{"alias_kind":"pith_short_8","alias_value":"AFTWUCJF","created_at":"2026-07-05T09:25:20Z"}],"graph_snapshots":[{"event_id":"sha256:c0d65ee6becb9a0ca9c7453bdc94655b946667cffb95caec2249bcb15464eb13","target":"graph","created_at":"2026-07-05T09:25:20Z","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/2410.18298/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study investigates explainable machine learning algorithms for identifying depression from speech. Grounded in evidence from speech production that depression affects motor control and vowel generation, pre-trained vowel-based embeddings, that integrate semantically meaningful linguistic units, are used. Following that, an ensemble learning approach decomposes the problem into constituent parts characterized by specific depression symptoms and severity levels. Two methods are explored: a \"bottom-up\" approach with 8 models predicting individual Patient Health Questionnaire-8 (PHQ-8) item s","authors_text":"Kexin Feng, Theodora Chaspari","cross_cats":["cs.CL","cs.SD","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-23T22:03:09Z","title":"Robust and Explainable Depression Identification from Speech Using Vowel-Based Ensemble Learning Approaches"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.18298","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:adf2a934a9fe07f9e4d6708594553be4f9716cae1f0fa61e99c60c0d72904d17","target":"record","created_at":"2026-07-05T09:25:20Z","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":"7bd6805ccb58e0d1cf49d196fc2cd4d5bae81c24ae495326494d49fe48d13b31","cross_cats_sorted":["cs.CL","cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-23T22:03:09Z","title_canon_sha256":"78c0f3bff87611f5d55c0b0c694aba953d2dd3d9d9606c46a9fa91f741987951"},"schema_version":"1.0","source":{"id":"2410.18298","kind":"arxiv","version":1}},"canonical_sha256":"01676a09250267fd1dd88e616cdf86452c8ad3de8b25f0eca9417db0c0e40c44","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"01676a09250267fd1dd88e616cdf86452c8ad3de8b25f0eca9417db0c0e40c44","first_computed_at":"2026-07-05T09:25:20.915453Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:25:20.915453Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+nkDxKoU3McPXAqVnBCrO4Blq0q4qbWj3tPLzPYq0hN/QrGVtyATm2Isq2NiVUk9JEjmgRLgKbE01jBhnJAZDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:25:20.915972Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.18298","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:adf2a934a9fe07f9e4d6708594553be4f9716cae1f0fa61e99c60c0d72904d17","sha256:c0d65ee6becb9a0ca9c7453bdc94655b946667cffb95caec2249bcb15464eb13"],"state_sha256":"ac6167d0680ce9a04d81f339d6c848e71fc1067da1359856f54651f7db6c3e86"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ytBHjwznTTgFbE7rDlIt17Yn978csiwZCgBTZMdqr9KMXAewvIBH6IbGUV5tapdj0zIzF7UBK6MHlpPh3eisDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T12:47:29.957877Z","bundle_sha256":"f574b6fd4545d59df06dd43a4a6bb21864829bb71c5a210d4777df236102b587"}}