{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:MI2DYVNCWKT6C55TQ7UU5Y5ZGE","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":"62e7e4ecd47236aeb6a88f884018e9bf85db76db4c9a4b679722cdeb3568e49f","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-24T08:28:56Z","title_canon_sha256":"d0b232a79465c48ee425aeff4df08cf8dde59bf2a0d3e4d9fe3da8f08f1b881d"},"schema_version":"1.0","source":{"id":"2606.25552","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.25552","created_at":"2026-06-25T01:18:08Z"},{"alias_kind":"arxiv_version","alias_value":"2606.25552v1","created_at":"2026-06-25T01:18:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.25552","created_at":"2026-06-25T01:18:08Z"},{"alias_kind":"pith_short_12","alias_value":"MI2DYVNCWKT6","created_at":"2026-06-25T01:18:08Z"},{"alias_kind":"pith_short_16","alias_value":"MI2DYVNCWKT6C55T","created_at":"2026-06-25T01:18:08Z"},{"alias_kind":"pith_short_8","alias_value":"MI2DYVNC","created_at":"2026-06-25T01:18:08Z"}],"graph_snapshots":[{"event_id":"sha256:0e2c901aa519d80e7948c479f7502c6554b220b28bd9cad512b160cb3b36fc8e","target":"graph","created_at":"2026-06-25T01:18:08Z","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/2606.25552/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prompt-based spoken language understanding (SLU) with large language models (LLMs) often suffers from inconsistent intent--slot structures due to decoding stochasticity, particularly in multi-intent scenarios. In view of this, we propose Semantic Frame-Level Multi-Task Self-Consistency (SFL-MTSC), a novel structured aggregation framework operating at the semantic frame level. Instead of output-level majority voting, SFL-MTSC decomposes predictions into intent-specific frames, applies domain--intent grouping and slot-level clustering, and evaluates cluster reliability using path support scoring","authors_text":"Berlin Chen, Po-Yen Chen","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-24T08:28:56Z","title":"SFL-MTSC: Leveraging Semantic Frame-Level Multi-Task Self-Consistency for Robust Multi-Intent Spoken Language Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.25552","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":"sha256:4cbd41c2c9544e848df1b51f4da372914894b2e91f386cc799dc10181bd79b12","target":"record","created_at":"2026-06-25T01:18:08Z","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":"62e7e4ecd47236aeb6a88f884018e9bf85db76db4c9a4b679722cdeb3568e49f","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-24T08:28:56Z","title_canon_sha256":"d0b232a79465c48ee425aeff4df08cf8dde59bf2a0d3e4d9fe3da8f08f1b881d"},"schema_version":"1.0","source":{"id":"2606.25552","kind":"arxiv","version":1}},"canonical_sha256":"62343c55a2b2a7e177b387e94ee3b931190e570959a3dfa6867081e1eb016ae1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"62343c55a2b2a7e177b387e94ee3b931190e570959a3dfa6867081e1eb016ae1","first_computed_at":"2026-06-25T01:18:08.613199Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-25T01:18:08.613199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jmtwhMKncAKJlXH3DqrOyM2lFOYwpbX6jwwLg3kHYvP2YyqooPYdY7nASUQbNo7E6FJloaUOX+ahcKtxTKuDDA==","signature_status":"signed_v1","signed_at":"2026-06-25T01:18:08.613614Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.25552","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4cbd41c2c9544e848df1b51f4da372914894b2e91f386cc799dc10181bd79b12","sha256:0e2c901aa519d80e7948c479f7502c6554b220b28bd9cad512b160cb3b36fc8e"],"state_sha256":"070432341b93b337d3d38af075b79ab554374a4fcd8bc97dfe144b456b32b4c8"}