{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:VNJNIZCICCBJZIORRN7GHQGDBG","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":"b389c39752911fc475cbc20126439851cc5ba2ab913ada8ab5c4beb7e43cbc55","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-12T18:50:34Z","title_canon_sha256":"a5a5de8d548c38c137b6bb8378e56a292dcf2b5ce93fb854c87c72c064f1222f"},"schema_version":"1.0","source":{"id":"2104.05763","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.05763","created_at":"2026-07-05T02:31:24Z"},{"alias_kind":"arxiv_version","alias_value":"2104.05763v1","created_at":"2026-07-05T02:31:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.05763","created_at":"2026-07-05T02:31:24Z"},{"alias_kind":"pith_short_12","alias_value":"VNJNIZCICCBJ","created_at":"2026-07-05T02:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"VNJNIZCICCBJZIOR","created_at":"2026-07-05T02:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"VNJNIZCI","created_at":"2026-07-05T02:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:7131fd36047cb0dcc52c07d32dcbc0e7316c5352a2e581288aa336053e653536","target":"graph","created_at":"2026-07-05T02:31:24Z","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/2104.05763/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Few-shot learning arises in important practical scenarios, such as when a natural language understanding system needs to learn new semantic labels for an emerging, resource-scarce domain. In this paper, we explore retrieval-based methods for intent classification and slot filling tasks in few-shot settings. Retrieval-based methods make predictions based on labeled examples in the retrieval index that are similar to the input, and thus can adapt to new domains simply by changing the index without having to retrain the model. However, it is non-trivial to apply such methods on tasks with a compl","authors_text":"Dian Yu, Luheng He, Panupong Pasupat, Qi Li, Xinya Du, Yuan Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-12T18:50:34Z","title":"Few-shot Intent Classification and Slot Filling with Retrieved Examples"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.05763","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":"sha256:367fef8c49b712dd85dc93c4dffe9eaf51d66c8565dc057f218cc0be6daec34a","target":"record","created_at":"2026-07-05T02:31:24Z","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":"b389c39752911fc475cbc20126439851cc5ba2ab913ada8ab5c4beb7e43cbc55","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-12T18:50:34Z","title_canon_sha256":"a5a5de8d548c38c137b6bb8378e56a292dcf2b5ce93fb854c87c72c064f1222f"},"schema_version":"1.0","source":{"id":"2104.05763","kind":"arxiv","version":1}},"canonical_sha256":"ab52d4644810829ca1d18b7e63c0c309aaacdc1ff0119ef4adb13b2008dce263","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ab52d4644810829ca1d18b7e63c0c309aaacdc1ff0119ef4adb13b2008dce263","first_computed_at":"2026-07-05T02:31:24.822959Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:31:24.822959Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nMeMqL4DCFU/zj4cK5EhfvHMUCPkDO4bvzD/uvvqSJiMZ1+P77SwJxvX5kXnWeQwcgKP6+my4AIdd9KM2/y9DA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:31:24.823415Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.05763","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:367fef8c49b712dd85dc93c4dffe9eaf51d66c8565dc057f218cc0be6daec34a","sha256:7131fd36047cb0dcc52c07d32dcbc0e7316c5352a2e581288aa336053e653536"],"state_sha256":"47795888787851b60662895f61510d879f1e51ebc8818fa2b29c4b38c5a04ef7"}