{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XZHKB6C2HPZIRGCDUI3GAEQSZX","short_pith_number":"pith:XZHKB6C2","canonical_record":{"source":{"id":"2508.16681","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-21T15:01:05Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"813fca5b3539979819184820e8d7eea93be46567ca1ce44b74a46e71e8ebbc8d","abstract_canon_sha256":"2c63fd89e936ca2767aa1a0c378ef9faca75367547dff054d2e04b6c7e8ef371"},"schema_version":"1.0"},"canonical_sha256":"be4ea0f85a3bf2889843a236601212cded3cab482835c39a16474832ac437935","source":{"kind":"arxiv","id":"2508.16681","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.16681","created_at":"2026-07-05T11:58:01Z"},{"alias_kind":"arxiv_version","alias_value":"2508.16681v1","created_at":"2026-07-05T11:58:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.16681","created_at":"2026-07-05T11:58:01Z"},{"alias_kind":"pith_short_12","alias_value":"XZHKB6C2HPZI","created_at":"2026-07-05T11:58:01Z"},{"alias_kind":"pith_short_16","alias_value":"XZHKB6C2HPZIRGCD","created_at":"2026-07-05T11:58:01Z"},{"alias_kind":"pith_short_8","alias_value":"XZHKB6C2","created_at":"2026-07-05T11:58:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XZHKB6C2HPZIRGCDUI3GAEQSZX","target":"record","payload":{"canonical_record":{"source":{"id":"2508.16681","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-21T15:01:05Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"813fca5b3539979819184820e8d7eea93be46567ca1ce44b74a46e71e8ebbc8d","abstract_canon_sha256":"2c63fd89e936ca2767aa1a0c378ef9faca75367547dff054d2e04b6c7e8ef371"},"schema_version":"1.0"},"canonical_sha256":"be4ea0f85a3bf2889843a236601212cded3cab482835c39a16474832ac437935","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:58:01.673538Z","signature_b64":"MDiWnY1NOYYSqbz9bACIN6PkdLZzBYqdfJJo0m4+29ZlC/eUq/V1W1W/GvS2o2++astKQYFhrf6sSx4KofMnDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"be4ea0f85a3bf2889843a236601212cded3cab482835c39a16474832ac437935","last_reissued_at":"2026-07-05T11:58:01.673024Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:58:01.673024Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.16681","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":"2026-07-05T11:58:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0CJazrFt5qFlW4GXMg00tOyUjVgKivBvn9grOlG59lc7xIOV1NKKhHH1Ea3B6gRo4YorZ6R3SkUv1TSp6c71CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T19:51:04.668369Z"},"content_sha256":"bad6ad2466cd0a9ec3cd59ec80c974eb1eb3dabd5971864fcafdd4490a398d8b","schema_version":"1.0","event_id":"sha256:bad6ad2466cd0a9ec3cd59ec80c974eb1eb3dabd5971864fcafdd4490a398d8b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XZHKB6C2HPZIRGCDUI3GAEQSZX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Eric Zhang","submitted_at":"2025-08-21T15:01:05Z","abstract_excerpt":"Stuttering affects approximately 1% of the global population, impacting communication and quality of life. While recent advances in deep learning have pushed the boundaries of automatic speech dysfluency detection, rule-based approaches remain crucial for clinical applications where interpretability and transparency are paramount. This paper presents a comprehensive analysis of rule-based stuttering detection systems, synthesizing insights from multiple corpora including UCLASS, FluencyBank, and SEP-28k. We propose an enhanced rule-based framework that incorporates speaking-rate normalization,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.16681","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/2508.16681/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":"2026-07-05T11:58:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dgjd1HGhuFRlgYFdb8bRaCh85rFAowDO7sUdxY/JGxnTLrAo43lVd6SUyLwH5O20utQc5zonJjfRuJZpLAE8DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T19:51:04.668899Z"},"content_sha256":"f5d21dea1bf4305fa0ee5ccad3cacf0e09716923a79ab8d9d7ec706c2e9d6146","schema_version":"1.0","event_id":"sha256:f5d21dea1bf4305fa0ee5ccad3cacf0e09716923a79ab8d9d7ec706c2e9d6146"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XZHKB6C2HPZIRGCDUI3GAEQSZX/bundle.json","state_url":"https://pith.science/pith/XZHKB6C2HPZIRGCDUI3GAEQSZX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XZHKB6C2HPZIRGCDUI3GAEQSZX/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":"2026-08-06T19:51:04Z","links":{"resolver":"https://pith.science/pith/XZHKB6C2HPZIRGCDUI3GAEQSZX","bundle":"https://pith.science/pith/XZHKB6C2HPZIRGCDUI3GAEQSZX/bundle.json","state":"https://pith.science/pith/XZHKB6C2HPZIRGCDUI3GAEQSZX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XZHKB6C2HPZIRGCDUI3GAEQSZX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XZHKB6C2HPZIRGCDUI3GAEQSZX","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":"2c63fd89e936ca2767aa1a0c378ef9faca75367547dff054d2e04b6c7e8ef371","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-21T15:01:05Z","title_canon_sha256":"813fca5b3539979819184820e8d7eea93be46567ca1ce44b74a46e71e8ebbc8d"},"schema_version":"1.0","source":{"id":"2508.16681","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.16681","created_at":"2026-07-05T11:58:01Z"},{"alias_kind":"arxiv_version","alias_value":"2508.16681v1","created_at":"2026-07-05T11:58:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.16681","created_at":"2026-07-05T11:58:01Z"},{"alias_kind":"pith_short_12","alias_value":"XZHKB6C2HPZI","created_at":"2026-07-05T11:58:01Z"},{"alias_kind":"pith_short_16","alias_value":"XZHKB6C2HPZIRGCD","created_at":"2026-07-05T11:58:01Z"},{"alias_kind":"pith_short_8","alias_value":"XZHKB6C2","created_at":"2026-07-05T11:58:01Z"}],"graph_snapshots":[{"event_id":"sha256:f5d21dea1bf4305fa0ee5ccad3cacf0e09716923a79ab8d9d7ec706c2e9d6146","target":"graph","created_at":"2026-07-05T11:58:01Z","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/2508.16681/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Stuttering affects approximately 1% of the global population, impacting communication and quality of life. While recent advances in deep learning have pushed the boundaries of automatic speech dysfluency detection, rule-based approaches remain crucial for clinical applications where interpretability and transparency are paramount. This paper presents a comprehensive analysis of rule-based stuttering detection systems, synthesizing insights from multiple corpora including UCLASS, FluencyBank, and SEP-28k. We propose an enhanced rule-based framework that incorporates speaking-rate normalization,","authors_text":"Eric Zhang","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-21T15:01:05Z","title":"Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.16681","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:bad6ad2466cd0a9ec3cd59ec80c974eb1eb3dabd5971864fcafdd4490a398d8b","target":"record","created_at":"2026-07-05T11:58:01Z","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":"2c63fd89e936ca2767aa1a0c378ef9faca75367547dff054d2e04b6c7e8ef371","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-21T15:01:05Z","title_canon_sha256":"813fca5b3539979819184820e8d7eea93be46567ca1ce44b74a46e71e8ebbc8d"},"schema_version":"1.0","source":{"id":"2508.16681","kind":"arxiv","version":1}},"canonical_sha256":"be4ea0f85a3bf2889843a236601212cded3cab482835c39a16474832ac437935","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"be4ea0f85a3bf2889843a236601212cded3cab482835c39a16474832ac437935","first_computed_at":"2026-07-05T11:58:01.673024Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:58:01.673024Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MDiWnY1NOYYSqbz9bACIN6PkdLZzBYqdfJJo0m4+29ZlC/eUq/V1W1W/GvS2o2++astKQYFhrf6sSx4KofMnDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:58:01.673538Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.16681","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bad6ad2466cd0a9ec3cd59ec80c974eb1eb3dabd5971864fcafdd4490a398d8b","sha256:f5d21dea1bf4305fa0ee5ccad3cacf0e09716923a79ab8d9d7ec706c2e9d6146"],"state_sha256":"73e4348a813174faa319453411de03bd73cb9bd16e94a4c89b81a39b0f598e5c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m9F4WC/e8PljfyKAtETNIehNrrjhN8Ld+VwdV6UZwuTDwoQvw0ded8CeNBPXhbPRfkLn+NpItGY58LZo2r+5Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T19:51:04.672739Z","bundle_sha256":"cf608278c8f57ea3257a623b59cb40431f322d9bd4a41d8ddbc837b255de9024"}}