{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:VAVS6OCTBAETAHTETV4XWQUQIM","short_pith_number":"pith:VAVS6OCT","schema_version":"1.0","canonical_sha256":"a82b2f38530809301e649d797b42904311889af9c90b68fc243ac422695ca1fb","source":{"kind":"arxiv","id":"2402.06654","version":1},"attestation_state":"computed","paper":{"title":"Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.AI","authors_text":"Bin Chen, Fei-Yue Wang, Jincai Huang, Kai Xu, Quanjun Yin, Sihang Qiu, Yong Zhao, Zhengqiu Zhu, Zhong Liu","submitted_at":"2024-02-04T15:10:11Z","abstract_excerpt":"The transition from CPS-based Industry 4.0 to CPSS-based Industry 5.0 brings new requirements and opportunities to current sensing approaches, especially in light of recent progress in Chatbots and Large Language Models (LLMs). Therefore, the advancement of parallel intelligence-powered Crowdsensing Intelligence (CSI) is witnessed, which is currently advancing towards linguistic intelligence. In this paper, we propose a novel sensing paradigm, namely conversational crowdsensing, for Industry 5.0. It can alleviate workload and professional requirements of individuals and promote the organizatio"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2402.06654","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-02-04T15:10:11Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"c52c5168426a5389b866b6681b81fe3fd29ae2c141b4a02f7d63c59957249768","abstract_canon_sha256":"9a9ccf5284cb35ee32570ea33a85f44c00067bac2d1c035cca934f5fabb38f2e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:43:36.393420Z","signature_b64":"WCQDGFKI96UuiXWZ8lGLibRlEjmooJMjbLbR9ee92UC/FDRlbgxHRNlsBrEIYv3YxiJTI5+jmJUmkw3iyR74DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a82b2f38530809301e649d797b42904311889af9c90b68fc243ac422695ca1fb","last_reissued_at":"2026-07-05T07:43:36.393003Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:43:36.393003Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.AI","authors_text":"Bin Chen, Fei-Yue Wang, Jincai Huang, Kai Xu, Quanjun Yin, Sihang Qiu, Yong Zhao, Zhengqiu Zhu, Zhong Liu","submitted_at":"2024-02-04T15:10:11Z","abstract_excerpt":"The transition from CPS-based Industry 4.0 to CPSS-based Industry 5.0 brings new requirements and opportunities to current sensing approaches, especially in light of recent progress in Chatbots and Large Language Models (LLMs). Therefore, the advancement of parallel intelligence-powered Crowdsensing Intelligence (CSI) is witnessed, which is currently advancing towards linguistic intelligence. In this paper, we propose a novel sensing paradigm, namely conversational crowdsensing, for Industry 5.0. It can alleviate workload and professional requirements of individuals and promote the organizatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.06654","kind":"arxiv","version":1},"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/2402.06654/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2402.06654","created_at":"2026-07-05T07:43:36.393070+00:00"},{"alias_kind":"arxiv_version","alias_value":"2402.06654v1","created_at":"2026-07-05T07:43:36.393070+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.06654","created_at":"2026-07-05T07:43:36.393070+00:00"},{"alias_kind":"pith_short_12","alias_value":"VAVS6OCTBAET","created_at":"2026-07-05T07:43:36.393070+00:00"},{"alias_kind":"pith_short_16","alias_value":"VAVS6OCTBAETAHTE","created_at":"2026-07-05T07:43:36.393070+00:00"},{"alias_kind":"pith_short_8","alias_value":"VAVS6OCT","created_at":"2026-07-05T07:43:36.393070+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/VAVS6OCTBAETAHTETV4XWQUQIM","json":"https://pith.science/pith/VAVS6OCTBAETAHTETV4XWQUQIM.json","graph_json":"https://pith.science/api/pith-number/VAVS6OCTBAETAHTETV4XWQUQIM/graph.json","events_json":"https://pith.science/api/pith-number/VAVS6OCTBAETAHTETV4XWQUQIM/events.json","paper":"https://pith.science/paper/VAVS6OCT"},"agent_actions":{"view_html":"https://pith.science/pith/VAVS6OCTBAETAHTETV4XWQUQIM","download_json":"https://pith.science/pith/VAVS6OCTBAETAHTETV4XWQUQIM.json","view_paper":"https://pith.science/paper/VAVS6OCT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2402.06654&json=true","fetch_graph":"https://pith.science/api/pith-number/VAVS6OCTBAETAHTETV4XWQUQIM/graph.json","fetch_events":"https://pith.science/api/pith-number/VAVS6OCTBAETAHTETV4XWQUQIM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VAVS6OCTBAETAHTETV4XWQUQIM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VAVS6OCTBAETAHTETV4XWQUQIM/action/storage_attestation","attest_author":"https://pith.science/pith/VAVS6OCTBAETAHTETV4XWQUQIM/action/author_attestation","sign_citation":"https://pith.science/pith/VAVS6OCTBAETAHTETV4XWQUQIM/action/citation_signature","submit_replication":"https://pith.science/pith/VAVS6OCTBAETAHTETV4XWQUQIM/action/replication_record"}},"created_at":"2026-07-05T07:43:36.393070+00:00","updated_at":"2026-07-05T07:43:36.393070+00:00"}