{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MAFAX24ZUTVJYQZDIHDFWUR5WX","short_pith_number":"pith:MAFAX24Z","canonical_record":{"source":{"id":"2505.21093","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2025-05-27T12:20:15Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"1cc9102a35cf912ef95c409d827ead5769ba43b4c10fd9f3e023485ff586dd32","abstract_canon_sha256":"d7be796f4bc7b3d7e6be00ab91c9eb2b0b6b27c51191fb83f4bd095d31b19438"},"schema_version":"1.0"},"canonical_sha256":"600a0beb99a4ea9c432341c65b523db5db170a27c131b8fb59be9958371a50ab","source":{"kind":"arxiv","id":"2505.21093","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.21093","created_at":"2026-07-05T11:10:23Z"},{"alias_kind":"arxiv_version","alias_value":"2505.21093v1","created_at":"2026-07-05T11:10:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.21093","created_at":"2026-07-05T11:10:23Z"},{"alias_kind":"pith_short_12","alias_value":"MAFAX24ZUTVJ","created_at":"2026-07-05T11:10:23Z"},{"alias_kind":"pith_short_16","alias_value":"MAFAX24ZUTVJYQZD","created_at":"2026-07-05T11:10:23Z"},{"alias_kind":"pith_short_8","alias_value":"MAFAX24Z","created_at":"2026-07-05T11:10:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MAFAX24ZUTVJYQZDIHDFWUR5WX","target":"record","payload":{"canonical_record":{"source":{"id":"2505.21093","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2025-05-27T12:20:15Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"1cc9102a35cf912ef95c409d827ead5769ba43b4c10fd9f3e023485ff586dd32","abstract_canon_sha256":"d7be796f4bc7b3d7e6be00ab91c9eb2b0b6b27c51191fb83f4bd095d31b19438"},"schema_version":"1.0"},"canonical_sha256":"600a0beb99a4ea9c432341c65b523db5db170a27c131b8fb59be9958371a50ab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:10:23.518898Z","signature_b64":"R0UORXfOzswszKoFMlILKLwZJq7uFhbNjgoSB5Q+NcX90JxJFKRR4l/SRQJybRvxNLhVcQjtwjthI5Whc88BAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"600a0beb99a4ea9c432341c65b523db5db170a27c131b8fb59be9958371a50ab","last_reissued_at":"2026-07-05T11:10:23.518419Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:10:23.518419Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.21093","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":"2026-07-05T11:10:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PWA5puDLIxiWKn8e7BFhxjs3DXvyASQXKzGwAFNeuUfWR531qFLM1rNde9XA6vVa1cIUCTdOpWbiS2ImFa29Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T01:19:13.971090Z"},"content_sha256":"6cc5423da67788c0d8cfe4572e76a7bd15b4ef5daee477156fb82389cfc6be44","schema_version":"1.0","event_id":"sha256:6cc5423da67788c0d8cfe4572e76a7bd15b4ef5daee477156fb82389cfc6be44"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MAFAX24ZUTVJYQZDIHDFWUR5WX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multimodal Assessment of Speech Impairment in ALS Using Audio-Visual and Machine Learning Approaches","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Andrea Bandini, Francesco Pierotti","submitted_at":"2025-05-27T12:20:15Z","abstract_excerpt":"The analysis of speech in individuals with amyotrophic lateral sclerosis is a powerful tool to support clinicians in the assessment of bulbar dysfunction. However, current methods used in clinical practice consist of subjective evaluations or expensive instrumentation. This study investigates different approaches combining audio-visual analysis and machine learning to predict the speech impairment evaluation performed by clinicians. Using a small dataset of acoustic and kinematic features extracted from audio and video recordings of speech tasks, we trained and tested some regression models. T"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.21093","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/2505.21093/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":"2026-07-05T11:10:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o3DPCegJiVBQ9dlCq7TRS4JZlgke/Nau2iL5MudK7oGp56ze2KpPyL5aiOUIG+icLSCyrW4vVxtW3+mzyrhDAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T01:19:13.971580Z"},"content_sha256":"42586e6c324d0244c5408c52932a6a50e7eeb990b164061b6f7723cbf5d55aad","schema_version":"1.0","event_id":"sha256:42586e6c324d0244c5408c52932a6a50e7eeb990b164061b6f7723cbf5d55aad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MAFAX24ZUTVJYQZDIHDFWUR5WX/bundle.json","state_url":"https://pith.science/pith/MAFAX24ZUTVJYQZDIHDFWUR5WX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MAFAX24ZUTVJYQZDIHDFWUR5WX/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":"2026-08-08T01:19:13Z","links":{"resolver":"https://pith.science/pith/MAFAX24ZUTVJYQZDIHDFWUR5WX","bundle":"https://pith.science/pith/MAFAX24ZUTVJYQZDIHDFWUR5WX/bundle.json","state":"https://pith.science/pith/MAFAX24ZUTVJYQZDIHDFWUR5WX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MAFAX24ZUTVJYQZDIHDFWUR5WX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MAFAX24ZUTVJYQZDIHDFWUR5WX","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":"d7be796f4bc7b3d7e6be00ab91c9eb2b0b6b27c51191fb83f4bd095d31b19438","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2025-05-27T12:20:15Z","title_canon_sha256":"1cc9102a35cf912ef95c409d827ead5769ba43b4c10fd9f3e023485ff586dd32"},"schema_version":"1.0","source":{"id":"2505.21093","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.21093","created_at":"2026-07-05T11:10:23Z"},{"alias_kind":"arxiv_version","alias_value":"2505.21093v1","created_at":"2026-07-05T11:10:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.21093","created_at":"2026-07-05T11:10:23Z"},{"alias_kind":"pith_short_12","alias_value":"MAFAX24ZUTVJ","created_at":"2026-07-05T11:10:23Z"},{"alias_kind":"pith_short_16","alias_value":"MAFAX24ZUTVJYQZD","created_at":"2026-07-05T11:10:23Z"},{"alias_kind":"pith_short_8","alias_value":"MAFAX24Z","created_at":"2026-07-05T11:10:23Z"}],"graph_snapshots":[{"event_id":"sha256:42586e6c324d0244c5408c52932a6a50e7eeb990b164061b6f7723cbf5d55aad","target":"graph","created_at":"2026-07-05T11:10:23Z","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/2505.21093/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The analysis of speech in individuals with amyotrophic lateral sclerosis is a powerful tool to support clinicians in the assessment of bulbar dysfunction. However, current methods used in clinical practice consist of subjective evaluations or expensive instrumentation. This study investigates different approaches combining audio-visual analysis and machine learning to predict the speech impairment evaluation performed by clinicians. Using a small dataset of acoustic and kinematic features extracted from audio and video recordings of speech tasks, we trained and tested some regression models. T","authors_text":"Andrea Bandini, Francesco Pierotti","cross_cats":["cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2025-05-27T12:20:15Z","title":"Multimodal Assessment of Speech Impairment in ALS Using Audio-Visual and Machine Learning Approaches"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.21093","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":"sha256:6cc5423da67788c0d8cfe4572e76a7bd15b4ef5daee477156fb82389cfc6be44","target":"record","created_at":"2026-07-05T11:10:23Z","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":"d7be796f4bc7b3d7e6be00ab91c9eb2b0b6b27c51191fb83f4bd095d31b19438","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2025-05-27T12:20:15Z","title_canon_sha256":"1cc9102a35cf912ef95c409d827ead5769ba43b4c10fd9f3e023485ff586dd32"},"schema_version":"1.0","source":{"id":"2505.21093","kind":"arxiv","version":1}},"canonical_sha256":"600a0beb99a4ea9c432341c65b523db5db170a27c131b8fb59be9958371a50ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"600a0beb99a4ea9c432341c65b523db5db170a27c131b8fb59be9958371a50ab","first_computed_at":"2026-07-05T11:10:23.518419Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:23.518419Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R0UORXfOzswszKoFMlILKLwZJq7uFhbNjgoSB5Q+NcX90JxJFKRR4l/SRQJybRvxNLhVcQjtwjthI5Whc88BAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:23.518898Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.21093","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6cc5423da67788c0d8cfe4572e76a7bd15b4ef5daee477156fb82389cfc6be44","sha256:42586e6c324d0244c5408c52932a6a50e7eeb990b164061b6f7723cbf5d55aad"],"state_sha256":"06a9e21d52f632b6e685c55c6ead8a5af035f8205852f59ad68302e5cd19bcba"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EZieI6LUix/5jf0/EQE5omdth0F+wtoDzXv9gULaqfHs6LWtZwPUb17Bt7HvKZfiveBxJ/gKOSOvaoie4wZDDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T01:19:13.975026Z","bundle_sha256":"387f476c55f9f08f07f0bb5fd64697e4d4ca0b4db17b39be24ca71bdbe2459c5"}}