{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ZOGYYVIUEUCUX5BAVBGQ6WTZOC","short_pith_number":"pith:ZOGYYVIU","schema_version":"1.0","canonical_sha256":"cb8d8c551425054bf420a84d0f5a7970bba82aaa74033a223295dee43e8bb610","source":{"kind":"arxiv","id":"2607.19751","version":1},"attestation_state":"computed","paper":{"title":"Learning the Arabic Dialect Continuum as a Continuous Space: A Regression Approach to Speaker Origin Prediction","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CY","cs.LG","cs.NE"],"primary_cat":"cs.CL","authors_text":"Adel Ammar, Bilel Benjdira, Mohamed Aziz Khadraoui, Skander Turki, Wadii Boulila, Zahid Khan","submitted_at":"2026-07-22T04:47:38Z","abstract_excerpt":"We present a regression-based approach to Arabic dialect geolocation that models dialectal variation as a continuous geographic space rather than discrete categories. Speaker origin is predicted as continuous latitude-longitude coordinates using a hierarchical neural architecture that fuses frame-level XLS-R-300M and Whisper-large-v3 encoder representations with phonotactic descriptors through a Transformer encoder and a learnable attention-pooled query. A spherical geodesic loss directly optimizes great-circle distance on Earth's surface, avoiding distortions inherent to planar coordinate reg"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.19751","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-22T04:47:38Z","cross_cats_sorted":["cs.AI","cs.CY","cs.LG","cs.NE"],"title_canon_sha256":"cd9ac118f613b7d5e3c1d2948e3e560a3d92642dbda0b40eaae46fa993cdaf9b","abstract_canon_sha256":"4b905ee282c54815a763ecf2d13f29a19d54b60fd4037f9299e55b3e72f26c0c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-23T00:24:07.291699Z","signature_b64":"nthMNZyBreAKj7dzCmkd7B1H72MekHO1+SGQ2hXOCOo5KYFRx/MdVNwj+e2o1tIRIxnRyKiep8hs8Ey9cvpfCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cb8d8c551425054bf420a84d0f5a7970bba82aaa74033a223295dee43e8bb610","last_reissued_at":"2026-07-23T00:24:07.290893Z","signature_status":"signed_v1","first_computed_at":"2026-07-23T00:24:07.290893Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Learning the Arabic Dialect Continuum as a Continuous Space: A Regression Approach to Speaker Origin Prediction","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CY","cs.LG","cs.NE"],"primary_cat":"cs.CL","authors_text":"Adel Ammar, Bilel Benjdira, Mohamed Aziz Khadraoui, Skander Turki, Wadii Boulila, Zahid Khan","submitted_at":"2026-07-22T04:47:38Z","abstract_excerpt":"We present a regression-based approach to Arabic dialect geolocation that models dialectal variation as a continuous geographic space rather than discrete categories. Speaker origin is predicted as continuous latitude-longitude coordinates using a hierarchical neural architecture that fuses frame-level XLS-R-300M and Whisper-large-v3 encoder representations with phonotactic descriptors through a Transformer encoder and a learnable attention-pooled query. A spherical geodesic loss directly optimizes great-circle distance on Earth's surface, avoiding distortions inherent to planar coordinate reg"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.19751","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/2607.19751/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.19751","created_at":"2026-07-23T00:24:07.291305+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.19751v1","created_at":"2026-07-23T00:24:07.291305+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.19751","created_at":"2026-07-23T00:24:07.291305+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZOGYYVIUEUCU","created_at":"2026-07-23T00:24:07.291305+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZOGYYVIUEUCUX5BA","created_at":"2026-07-23T00:24:07.291305+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZOGYYVIU","created_at":"2026-07-23T00:24:07.291305+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ZOGYYVIUEUCUX5BAVBGQ6WTZOC","json":"https://pith.science/pith/ZOGYYVIUEUCUX5BAVBGQ6WTZOC.json","graph_json":"https://pith.science/api/pith-number/ZOGYYVIUEUCUX5BAVBGQ6WTZOC/graph.json","events_json":"https://pith.science/api/pith-number/ZOGYYVIUEUCUX5BAVBGQ6WTZOC/events.json","paper":"https://pith.science/paper/ZOGYYVIU"},"agent_actions":{"view_html":"https://pith.science/pith/ZOGYYVIUEUCUX5BAVBGQ6WTZOC","download_json":"https://pith.science/pith/ZOGYYVIUEUCUX5BAVBGQ6WTZOC.json","view_paper":"https://pith.science/paper/ZOGYYVIU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.19751&json=true","fetch_graph":"https://pith.science/api/pith-number/ZOGYYVIUEUCUX5BAVBGQ6WTZOC/graph.json","fetch_events":"https://pith.science/api/pith-number/ZOGYYVIUEUCUX5BAVBGQ6WTZOC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZOGYYVIUEUCUX5BAVBGQ6WTZOC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZOGYYVIUEUCUX5BAVBGQ6WTZOC/action/storage_attestation","attest_author":"https://pith.science/pith/ZOGYYVIUEUCUX5BAVBGQ6WTZOC/action/author_attestation","sign_citation":"https://pith.science/pith/ZOGYYVIUEUCUX5BAVBGQ6WTZOC/action/citation_signature","submit_replication":"https://pith.science/pith/ZOGYYVIUEUCUX5BAVBGQ6WTZOC/action/replication_record"}},"created_at":"2026-07-23T00:24:07.291305+00:00","updated_at":"2026-07-23T00:24:07.291305+00:00"}