{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:WHTEB34P33NA5K6UFJRC2BBYYV","short_pith_number":"pith:WHTEB34P","canonical_record":{"source":{"id":"2103.03095","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-03-04T15:22:00Z","cross_cats_sorted":[],"title_canon_sha256":"50a99f10308ba79cbb60b8b5758d995aa93a99e6ccbef3662e3e8f4a6153b870","abstract_canon_sha256":"a86548356d40ce405fc3235a68616823ee97416ea15d27d33848ead9d4cbd7dd"},"schema_version":"1.0"},"canonical_sha256":"b1e640ef8fdeda0eabd42a622d0438c574dcf742ebecbfe7ab1dcaa1bc5c9671","source":{"kind":"arxiv","id":"2103.03095","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.03095","created_at":"2026-07-05T02:38:33Z"},{"alias_kind":"arxiv_version","alias_value":"2103.03095v2","created_at":"2026-07-05T02:38:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.03095","created_at":"2026-07-05T02:38:33Z"},{"alias_kind":"pith_short_12","alias_value":"WHTEB34P33NA","created_at":"2026-07-05T02:38:33Z"},{"alias_kind":"pith_short_16","alias_value":"WHTEB34P33NA5K6U","created_at":"2026-07-05T02:38:33Z"},{"alias_kind":"pith_short_8","alias_value":"WHTEB34P","created_at":"2026-07-05T02:38:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:WHTEB34P33NA5K6UFJRC2BBYYV","target":"record","payload":{"canonical_record":{"source":{"id":"2103.03095","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-03-04T15:22:00Z","cross_cats_sorted":[],"title_canon_sha256":"50a99f10308ba79cbb60b8b5758d995aa93a99e6ccbef3662e3e8f4a6153b870","abstract_canon_sha256":"a86548356d40ce405fc3235a68616823ee97416ea15d27d33848ead9d4cbd7dd"},"schema_version":"1.0"},"canonical_sha256":"b1e640ef8fdeda0eabd42a622d0438c574dcf742ebecbfe7ab1dcaa1bc5c9671","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:38:33.300700Z","signature_b64":"oNSHHIzO+T/BufGwYJp4j1OzB/Lnjx+ZqJ3sWp2zNx5i5pKp0bYXU6P8Y9x81R5TqUKszRsJlLu0yY2ahQc8Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b1e640ef8fdeda0eabd42a622d0438c574dcf742ebecbfe7ab1dcaa1bc5c9671","last_reissued_at":"2026-07-05T02:38:33.300257Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:38:33.300257Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.03095","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:38:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zjG5WATKJt5RKgPE1OgwgKrzKmk9HJA+zegmniVHkj5yFv1qotmzilR4xXoI1YxC5iyp2Vk2boxR4tzBSUhMDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T02:18:16.114726Z"},"content_sha256":"1fe7b3ca620e55985be49481560f335ebf2f6f0f872c854456f72dc8706856b7","schema_version":"1.0","event_id":"sha256:1fe7b3ca620e55985be49481560f335ebf2f6f0f872c854456f72dc8706856b7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:WHTEB34P33NA5K6UFJRC2BBYYV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Survey on Spoken Language Understanding: Recent Advances and New Frontiers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Libo Qin, Tianbao Xie, Ting Liu, Wanxiang Che","submitted_at":"2021-03-04T15:22:00Z","abstract_excerpt":"Spoken Language Understanding (SLU) aims to extract the semantics frame of user queries, which is a core component in a task-oriented dialog system. With the burst of deep neural networks and the evolution of pre-trained language models, the research of SLU has obtained significant breakthroughs. However, there remains a lack of a comprehensive survey summarizing existing approaches and recent trends, which motivated the work presented in this article. In this paper, we survey recent advances and new frontiers in SLU. Specifically, we give a thorough review of this research field, covering dif"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.03095","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2103.03095/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:38:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IxzQMGrCJ1HCFYwGK4vCtyq1uqgwb0T037+7RFueqOyJK2ve/zXFu8FzJlPnOQ9fxpC1ofKgi6m7DUVS+3pMDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T02:18:16.115270Z"},"content_sha256":"82416cea16bfd991434d1be76e01fcffb3950a7ceb8dddd6707a00dbb0f85f7b","schema_version":"1.0","event_id":"sha256:82416cea16bfd991434d1be76e01fcffb3950a7ceb8dddd6707a00dbb0f85f7b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WHTEB34P33NA5K6UFJRC2BBYYV/bundle.json","state_url":"https://pith.science/pith/WHTEB34P33NA5K6UFJRC2BBYYV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WHTEB34P33NA5K6UFJRC2BBYYV/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T02:18:16Z","links":{"resolver":"https://pith.science/pith/WHTEB34P33NA5K6UFJRC2BBYYV","bundle":"https://pith.science/pith/WHTEB34P33NA5K6UFJRC2BBYYV/bundle.json","state":"https://pith.science/pith/WHTEB34P33NA5K6UFJRC2BBYYV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WHTEB34P33NA5K6UFJRC2BBYYV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:WHTEB34P33NA5K6UFJRC2BBYYV","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":"a86548356d40ce405fc3235a68616823ee97416ea15d27d33848ead9d4cbd7dd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-03-04T15:22:00Z","title_canon_sha256":"50a99f10308ba79cbb60b8b5758d995aa93a99e6ccbef3662e3e8f4a6153b870"},"schema_version":"1.0","source":{"id":"2103.03095","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.03095","created_at":"2026-07-05T02:38:33Z"},{"alias_kind":"arxiv_version","alias_value":"2103.03095v2","created_at":"2026-07-05T02:38:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.03095","created_at":"2026-07-05T02:38:33Z"},{"alias_kind":"pith_short_12","alias_value":"WHTEB34P33NA","created_at":"2026-07-05T02:38:33Z"},{"alias_kind":"pith_short_16","alias_value":"WHTEB34P33NA5K6U","created_at":"2026-07-05T02:38:33Z"},{"alias_kind":"pith_short_8","alias_value":"WHTEB34P","created_at":"2026-07-05T02:38:33Z"}],"graph_snapshots":[{"event_id":"sha256:82416cea16bfd991434d1be76e01fcffb3950a7ceb8dddd6707a00dbb0f85f7b","target":"graph","created_at":"2026-07-05T02:38:33Z","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/2103.03095/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Spoken Language Understanding (SLU) aims to extract the semantics frame of user queries, which is a core component in a task-oriented dialog system. With the burst of deep neural networks and the evolution of pre-trained language models, the research of SLU has obtained significant breakthroughs. However, there remains a lack of a comprehensive survey summarizing existing approaches and recent trends, which motivated the work presented in this article. In this paper, we survey recent advances and new frontiers in SLU. Specifically, we give a thorough review of this research field, covering dif","authors_text":"Libo Qin, Tianbao Xie, Ting Liu, Wanxiang Che","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-03-04T15:22:00Z","title":"A Survey on Spoken Language Understanding: Recent Advances and New Frontiers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.03095","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":"sha256:1fe7b3ca620e55985be49481560f335ebf2f6f0f872c854456f72dc8706856b7","target":"record","created_at":"2026-07-05T02:38:33Z","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":"a86548356d40ce405fc3235a68616823ee97416ea15d27d33848ead9d4cbd7dd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-03-04T15:22:00Z","title_canon_sha256":"50a99f10308ba79cbb60b8b5758d995aa93a99e6ccbef3662e3e8f4a6153b870"},"schema_version":"1.0","source":{"id":"2103.03095","kind":"arxiv","version":2}},"canonical_sha256":"b1e640ef8fdeda0eabd42a622d0438c574dcf742ebecbfe7ab1dcaa1bc5c9671","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b1e640ef8fdeda0eabd42a622d0438c574dcf742ebecbfe7ab1dcaa1bc5c9671","first_computed_at":"2026-07-05T02:38:33.300257Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:38:33.300257Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oNSHHIzO+T/BufGwYJp4j1OzB/Lnjx+ZqJ3sWp2zNx5i5pKp0bYXU6P8Y9x81R5TqUKszRsJlLu0yY2ahQc8Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:38:33.300700Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.03095","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1fe7b3ca620e55985be49481560f335ebf2f6f0f872c854456f72dc8706856b7","sha256:82416cea16bfd991434d1be76e01fcffb3950a7ceb8dddd6707a00dbb0f85f7b"],"state_sha256":"23b55273ec14f65d0cbba37c8eefe9c79178ea9682c91c1c25ba44c1786f62e5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VeRcrwb2+Mkmc3bGgRkt6kJapxRY6F3nIu2+l7WYWsIUd9lAhMZdIfACoWbGOwziNdMdcMZqI9Jqc0+fi45jDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T02:18:16.119493Z","bundle_sha256":"2c6074910ea964070f34d303f090a80ef5ae8e6a8064e2355e4f7dd250b2fe5a"}}