{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ULGIXL2YVIEPUAUKT5OS25O34K","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":"6b85a8755eccefbbd856c2ae3dcc3014f0cb9ef9044ae63e5274a96f0a62529a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-07T15:21:07Z","title_canon_sha256":"35a714fc99c5fb7e3c4878f96c996adc06ddb5481b7217435f1c0c9958c0c873"},"schema_version":"1.0","source":{"id":"2501.03863","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.03863","created_at":"2026-07-05T09:58:01Z"},{"alias_kind":"arxiv_version","alias_value":"2501.03863v1","created_at":"2026-07-05T09:58:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.03863","created_at":"2026-07-05T09:58:01Z"},{"alias_kind":"pith_short_12","alias_value":"ULGIXL2YVIEP","created_at":"2026-07-05T09:58:01Z"},{"alias_kind":"pith_short_16","alias_value":"ULGIXL2YVIEPUAUK","created_at":"2026-07-05T09:58:01Z"},{"alias_kind":"pith_short_8","alias_value":"ULGIXL2Y","created_at":"2026-07-05T09:58:01Z"}],"graph_snapshots":[{"event_id":"sha256:af042726554313937d588f006fa9161d96c65fe567473501e08c5a5ffbd36513","target":"graph","created_at":"2026-07-05T09:58:01Z","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/2501.03863/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reliable slot and intent detection (SID) is crucial in natural language understanding for applications like digital assistants. Encoder-only transformer models fine-tuned on high-resource languages generally perform well on SID. However, they struggle with dialectal data, where no standardized form exists and training data is scarce and costly to produce. We explore zero-shot transfer learning for SID, focusing on multiple Bavarian dialects, for which we release a new dataset for the Munich dialect. We evaluate models trained on auxiliary tasks in Bavarian, and compare joint multi-task learnin","authors_text":"Barbara Plank, Verena Blaschke, Xaver Maria Kr\\\"uckl","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-07T15:21:07Z","title":"Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.03863","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":"sha256:6a0d338615ecd210484fb858dda0ffc38c94f3932d8993d7c483847ca8eee3b7","target":"record","created_at":"2026-07-05T09:58:01Z","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":"6b85a8755eccefbbd856c2ae3dcc3014f0cb9ef9044ae63e5274a96f0a62529a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-07T15:21:07Z","title_canon_sha256":"35a714fc99c5fb7e3c4878f96c996adc06ddb5481b7217435f1c0c9958c0c873"},"schema_version":"1.0","source":{"id":"2501.03863","kind":"arxiv","version":1}},"canonical_sha256":"a2cc8baf58aa08fa028a9f5d2d75dbe2baf3d39bd771d6027b8216473e2b6a12","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a2cc8baf58aa08fa028a9f5d2d75dbe2baf3d39bd771d6027b8216473e2b6a12","first_computed_at":"2026-07-05T09:58:01.662180Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:58:01.662180Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ytcs/PgglhfisEBGBn7WH82phHnxZ3oXb3i5lg6XrB7l7wUIAANrkIvXAor9ivn1DtXWAR74ZG2IjajRZfhpBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:58:01.662648Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.03863","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a0d338615ecd210484fb858dda0ffc38c94f3932d8993d7c483847ca8eee3b7","sha256:af042726554313937d588f006fa9161d96c65fe567473501e08c5a5ffbd36513"],"state_sha256":"78b0cbda76109502fd776303243ef028d37fe669e5851dca369361a9cb3d7ed6"}