{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:Z4R7FK4TDPOCV3F3SGSQXWDKME","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":"9531c9430d369f238c9ce546d241cc518be33fd2f1b4fc4b4deb37ff48137c1b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-01-26T03:01:59Z","title_canon_sha256":"69a4c0f2e17f9e60c4b93c8a3ef022705a09f7833f94927469399b486c8a2b98"},"schema_version":"1.0","source":{"id":"2301.10915","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.10915","created_at":"2026-07-05T06:14:57Z"},{"alias_kind":"arxiv_version","alias_value":"2301.10915v2","created_at":"2026-07-05T06:14:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.10915","created_at":"2026-07-05T06:14:57Z"},{"alias_kind":"pith_short_12","alias_value":"Z4R7FK4TDPOC","created_at":"2026-07-05T06:14:57Z"},{"alias_kind":"pith_short_16","alias_value":"Z4R7FK4TDPOCV3F3","created_at":"2026-07-05T06:14:57Z"},{"alias_kind":"pith_short_8","alias_value":"Z4R7FK4T","created_at":"2026-07-05T06:14:57Z"}],"graph_snapshots":[{"event_id":"sha256:9151dcce56bb2a2c7279a02c41b498f5dad58f00280a42e687689072fc653c75","target":"graph","created_at":"2026-07-05T06:14:57Z","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/2301.10915/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dialogue state tracking (DST) is an important step in dialogue management to keep track of users' beliefs. Existing works fine-tune all language model (LM) parameters to tackle the DST task, which requires significant data and computing resources for training and hosting. The cost grows exponentially in the real-world deployment where dozens of fine-tuned LM are used for different domains and tasks. To reduce parameter size and better utilize cross-task shared information, we propose to use soft prompt token embeddings to learn task properties. Without tuning LM parameters, our method drastica","authors_text":"Arpit Gupta, Di Jin, Jiun-Yu Kao, Mingyu Derek Ma, Nanyun Peng, Shuyang Gao, Tagyoung Chung","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-01-26T03:01:59Z","title":"Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.10915","kind":"arxiv","version":2},"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":"sha256:8ca123d8a70f4b4b040f6f212d25356ada893cc3c56969503342eb58b1f80b06","target":"record","created_at":"2026-07-05T06:14:57Z","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":"9531c9430d369f238c9ce546d241cc518be33fd2f1b4fc4b4deb37ff48137c1b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-01-26T03:01:59Z","title_canon_sha256":"69a4c0f2e17f9e60c4b93c8a3ef022705a09f7833f94927469399b486c8a2b98"},"schema_version":"1.0","source":{"id":"2301.10915","kind":"arxiv","version":2}},"canonical_sha256":"cf23f2ab931bdc2aecbb91a50bd86a6102540858cb1f3b43b97e263819707b6a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cf23f2ab931bdc2aecbb91a50bd86a6102540858cb1f3b43b97e263819707b6a","first_computed_at":"2026-07-05T06:14:57.267373Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:14:57.267373Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R7nM/BLbbmpnyMmQScFtQp6GCqFgP+CJrGeTM18VegOHHYevDxfR+Gdg2B4UeK/FmOZj5mc8p5DK0UCu+MVfBg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:14:57.267830Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.10915","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ca123d8a70f4b4b040f6f212d25356ada893cc3c56969503342eb58b1f80b06","sha256:9151dcce56bb2a2c7279a02c41b498f5dad58f00280a42e687689072fc653c75"],"state_sha256":"51e61b5f8a9564fb42e04c4c9293cd2687387c73f954cb8bac5bcbdd6581b2ec"}