{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:6KMS4PQBCJXLURJOYBFACZMCB5","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":"39aa1b6a2e24f598bed41e6aba0d6d5eca4085abf6d07865472f3fd3210fa727","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-07T23:07:23Z","title_canon_sha256":"80b292714cf4ca6393e30e64b5e8d209524206d884ee616fae3e8e69a298a714"},"schema_version":"1.0","source":{"id":"2306.04823","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.04823","created_at":"2026-07-05T06:18:42Z"},{"alias_kind":"arxiv_version","alias_value":"2306.04823v1","created_at":"2026-07-05T06:18:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.04823","created_at":"2026-07-05T06:18:42Z"},{"alias_kind":"pith_short_12","alias_value":"6KMS4PQBCJXL","created_at":"2026-07-05T06:18:42Z"},{"alias_kind":"pith_short_16","alias_value":"6KMS4PQBCJXLURJO","created_at":"2026-07-05T06:18:42Z"},{"alias_kind":"pith_short_8","alias_value":"6KMS4PQB","created_at":"2026-07-05T06:18:42Z"}],"graph_snapshots":[{"event_id":"sha256:012abf20066b5ccb2e66e689b00f32cb5042d0d7432c4b74b9060005ff9965e0","target":"graph","created_at":"2026-07-05T06:18:42Z","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/2306.04823/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large-scale conversational systems typically rely on a skill-routing component to route a user request to an appropriate skill and interpretation to serve the request. In such system, the agent is responsible for serving thousands of skills and interpretations which create a long-tail distribution due to the natural frequency of requests. For example, the samples related to play music might be a thousand times more frequent than those asking for theatre show times. Moreover, inputs used for ML-based skill routing are often a heterogeneous mix of strings, embedding vectors, categorical and scal","authors_text":"Fatemeh Sheikholeslami, Jaeyoung Do, Mohammad Kachuee, Sungjin Lee, Ting-Wei Wu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-07T23:07:23Z","title":"Data Augmentation for Improving Tail-traffic Robustness in Skill-routing for Dialogue Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.04823","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":"sha256:0fb42765f686315ec3720082fde0cce8079b883f38af5b9983c0e86e16dda225","target":"record","created_at":"2026-07-05T06:18:42Z","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":"39aa1b6a2e24f598bed41e6aba0d6d5eca4085abf6d07865472f3fd3210fa727","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-07T23:07:23Z","title_canon_sha256":"80b292714cf4ca6393e30e64b5e8d209524206d884ee616fae3e8e69a298a714"},"schema_version":"1.0","source":{"id":"2306.04823","kind":"arxiv","version":1}},"canonical_sha256":"f2992e3e01126eba452ec04a0165820f4d4649767f06f19dd2a0500878814d1f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f2992e3e01126eba452ec04a0165820f4d4649767f06f19dd2a0500878814d1f","first_computed_at":"2026-07-05T06:18:42.457274Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:18:42.457274Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HPz0IUCLP4X2OWJADIQhdJoObh1IxzEZVgWOoLTU1QgKE4T/4Dxw3Qkq5i+5QGl91AbBXTD+F38D0ewH474SDw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:18:42.457782Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.04823","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0fb42765f686315ec3720082fde0cce8079b883f38af5b9983c0e86e16dda225","sha256:012abf20066b5ccb2e66e689b00f32cb5042d0d7432c4b74b9060005ff9965e0"],"state_sha256":"a261ea400966a30a5c96267b60d384f40a1d2dbbd680690fa09f4b6a3544693c"}