{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:5YJTDADGGXVHWR4SO4A2DWCEDK","short_pith_number":"pith:5YJTDADG","canonical_record":{"source":{"id":"2509.00094","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.AS","submitted_at":"2025-08-27T15:28:46Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG","cs.SD"],"title_canon_sha256":"4df2ad937b3d8eba847e3892856c6dde9c3194b489e0d310b7f28ccfd317b4a3","abstract_canon_sha256":"6f10ea90672bfc855a57d8dcb74f2964223cdd77295af3de480125626ffba22a"},"schema_version":"1.0"},"canonical_sha256":"ee1331806635ea7b47927701a1d8441aaf57ae80119fead97bc03fd3d6146104","source":{"kind":"arxiv","id":"2509.00094","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.00094","created_at":"2026-07-05T12:02:09Z"},{"alias_kind":"arxiv_version","alias_value":"2509.00094v1","created_at":"2026-07-05T12:02:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.00094","created_at":"2026-07-05T12:02:09Z"},{"alias_kind":"pith_short_12","alias_value":"5YJTDADGGXVH","created_at":"2026-07-05T12:02:09Z"},{"alias_kind":"pith_short_16","alias_value":"5YJTDADGGXVHWR4S","created_at":"2026-07-05T12:02:09Z"},{"alias_kind":"pith_short_8","alias_value":"5YJTDADG","created_at":"2026-07-05T12:02:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:5YJTDADGGXVHWR4SO4A2DWCEDK","target":"record","payload":{"canonical_record":{"source":{"id":"2509.00094","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.AS","submitted_at":"2025-08-27T15:28:46Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG","cs.SD"],"title_canon_sha256":"4df2ad937b3d8eba847e3892856c6dde9c3194b489e0d310b7f28ccfd317b4a3","abstract_canon_sha256":"6f10ea90672bfc855a57d8dcb74f2964223cdd77295af3de480125626ffba22a"},"schema_version":"1.0"},"canonical_sha256":"ee1331806635ea7b47927701a1d8441aaf57ae80119fead97bc03fd3d6146104","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:02:09.358060Z","signature_b64":"GXbGHAIgyQmtoff5/c9d527FWPT8M4/yq3ExS8D7MuG7erxJ+11ZmbhxS8hvgNELo/ngZKapxibf3Y+5/5paCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ee1331806635ea7b47927701a1d8441aaf57ae80119fead97bc03fd3d6146104","last_reissued_at":"2026-07-05T12:02:09.357599Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:02:09.357599Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.00094","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":"2026-07-05T12:02:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U3DsN3xyyUGebWzpimOFknrm7GieuwOwl3BCcIJV3k+mX+hg7Tkj0WUg+tnONnATjzRf/q/fp+Z7dzZuZxjJBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:59:29.469769Z"},"content_sha256":"715708d59682ff7f17b2c6d5e46771243c99471e861b98a2cbc8bc6dece2fd8e","schema_version":"1.0","event_id":"sha256:715708d59682ff7f17b2c6d5e46771243c99471e861b98a2cbc8bc6dece2fd8e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:5YJTDADGGXVHWR4SO4A2DWCEDK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG","cs.SD"],"primary_cat":"eess.AS","authors_text":"Abdullah Abdelfattah, Hazem Abbas, Mahmoud I. Khalil","submitted_at":"2025-08-27T15:28:46Z","abstract_excerpt":"Assessing spoken language is challenging, and quantifying pronunciation metrics for machine learning models is even harder. However, for the Holy Quran, this task is simplified by the rigorous recitation rules (tajweed) established by Muslim scholars, enabling highly effective assessment. Despite this advantage, the scarcity of high-quality annotated data remains a significant barrier.\n  In this work, we bridge these gaps by introducing: (1) A 98% automated pipeline to produce high-quality Quranic datasets -- encompassing: Collection of recitations from expert reciters, Segmentation at pause p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.00094","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/2509.00094/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":"2026-07-05T12:02:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V/jk+cpYUaL3ZlXSw0Dm0X83vPzFyuSA57FxGj2cB0gg0x7HuLcO04aF2PtDPcdYuOaZUZyKb5OHxaSl5z+TAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:59:29.470291Z"},"content_sha256":"66b36540719ff69ae5228ce07f5ae31ea506b77d210a13b5af1e61eb6b0f2d09","schema_version":"1.0","event_id":"sha256:66b36540719ff69ae5228ce07f5ae31ea506b77d210a13b5af1e61eb6b0f2d09"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5YJTDADGGXVHWR4SO4A2DWCEDK/bundle.json","state_url":"https://pith.science/pith/5YJTDADGGXVHWR4SO4A2DWCEDK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5YJTDADGGXVHWR4SO4A2DWCEDK/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":"2026-08-08T13:59:29Z","links":{"resolver":"https://pith.science/pith/5YJTDADGGXVHWR4SO4A2DWCEDK","bundle":"https://pith.science/pith/5YJTDADGGXVHWR4SO4A2DWCEDK/bundle.json","state":"https://pith.science/pith/5YJTDADGGXVHWR4SO4A2DWCEDK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5YJTDADGGXVHWR4SO4A2DWCEDK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5YJTDADGGXVHWR4SO4A2DWCEDK","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":"6f10ea90672bfc855a57d8dcb74f2964223cdd77295af3de480125626ffba22a","cross_cats_sorted":["cs.AI","cs.CL","cs.LG","cs.SD"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.AS","submitted_at":"2025-08-27T15:28:46Z","title_canon_sha256":"4df2ad937b3d8eba847e3892856c6dde9c3194b489e0d310b7f28ccfd317b4a3"},"schema_version":"1.0","source":{"id":"2509.00094","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.00094","created_at":"2026-07-05T12:02:09Z"},{"alias_kind":"arxiv_version","alias_value":"2509.00094v1","created_at":"2026-07-05T12:02:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.00094","created_at":"2026-07-05T12:02:09Z"},{"alias_kind":"pith_short_12","alias_value":"5YJTDADGGXVH","created_at":"2026-07-05T12:02:09Z"},{"alias_kind":"pith_short_16","alias_value":"5YJTDADGGXVHWR4S","created_at":"2026-07-05T12:02:09Z"},{"alias_kind":"pith_short_8","alias_value":"5YJTDADG","created_at":"2026-07-05T12:02:09Z"}],"graph_snapshots":[{"event_id":"sha256:66b36540719ff69ae5228ce07f5ae31ea506b77d210a13b5af1e61eb6b0f2d09","target":"graph","created_at":"2026-07-05T12:02:09Z","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/2509.00094/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Assessing spoken language is challenging, and quantifying pronunciation metrics for machine learning models is even harder. However, for the Holy Quran, this task is simplified by the rigorous recitation rules (tajweed) established by Muslim scholars, enabling highly effective assessment. Despite this advantage, the scarcity of high-quality annotated data remains a significant barrier.\n  In this work, we bridge these gaps by introducing: (1) A 98% automated pipeline to produce high-quality Quranic datasets -- encompassing: Collection of recitations from expert reciters, Segmentation at pause p","authors_text":"Abdullah Abdelfattah, Hazem Abbas, Mahmoud I. Khalil","cross_cats":["cs.AI","cs.CL","cs.LG","cs.SD"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.AS","submitted_at":"2025-08-27T15:28:46Z","title":"Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.00094","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":"sha256:715708d59682ff7f17b2c6d5e46771243c99471e861b98a2cbc8bc6dece2fd8e","target":"record","created_at":"2026-07-05T12:02:09Z","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":"6f10ea90672bfc855a57d8dcb74f2964223cdd77295af3de480125626ffba22a","cross_cats_sorted":["cs.AI","cs.CL","cs.LG","cs.SD"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.AS","submitted_at":"2025-08-27T15:28:46Z","title_canon_sha256":"4df2ad937b3d8eba847e3892856c6dde9c3194b489e0d310b7f28ccfd317b4a3"},"schema_version":"1.0","source":{"id":"2509.00094","kind":"arxiv","version":1}},"canonical_sha256":"ee1331806635ea7b47927701a1d8441aaf57ae80119fead97bc03fd3d6146104","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ee1331806635ea7b47927701a1d8441aaf57ae80119fead97bc03fd3d6146104","first_computed_at":"2026-07-05T12:02:09.357599Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:02:09.357599Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GXbGHAIgyQmtoff5/c9d527FWPT8M4/yq3ExS8D7MuG7erxJ+11ZmbhxS8hvgNELo/ngZKapxibf3Y+5/5paCw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:02:09.358060Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.00094","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:715708d59682ff7f17b2c6d5e46771243c99471e861b98a2cbc8bc6dece2fd8e","sha256:66b36540719ff69ae5228ce07f5ae31ea506b77d210a13b5af1e61eb6b0f2d09"],"state_sha256":"56fa15989dc57fa47a2c7837b9e73d89e27260e0d8ec16173612b51934615477"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"msXINuEXSEeQt7WoWpFLpAOsdgvGwIXL49fyQ2D4K1DqgCWPsQauCPnhdjeKnyd0or7H5OJ4bIAaIxnobB4DAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:59:29.475791Z","bundle_sha256":"e0405fd08d945735f585fd01afef7d706bc7580bee3091e7b5e0cf61f10aefda"}}