{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JOFYDDFVPESXEKPAFD6TMQUK54","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":"3b1893cc2cb0d0f4df997d8077a7c783e15e926f8d11c332308cc019967a70e5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2025-05-16T16:09:28Z","title_canon_sha256":"73a067d49580c6290e97c951c846e2ae6cae474d81b4effb76d7c4bb8c70f901"},"schema_version":"1.0","source":{"id":"2505.11401","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.11401","created_at":"2026-07-05T11:04:15Z"},{"alias_kind":"arxiv_version","alias_value":"2505.11401v1","created_at":"2026-07-05T11:04:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.11401","created_at":"2026-07-05T11:04:15Z"},{"alias_kind":"pith_short_12","alias_value":"JOFYDDFVPESX","created_at":"2026-07-05T11:04:15Z"},{"alias_kind":"pith_short_16","alias_value":"JOFYDDFVPESXEKPA","created_at":"2026-07-05T11:04:15Z"},{"alias_kind":"pith_short_8","alias_value":"JOFYDDFV","created_at":"2026-07-05T11:04:15Z"}],"graph_snapshots":[{"event_id":"sha256:0e7ecc4c7913cf99297988383b41c6a66c73d75b297c46732e3e335d5357a7bb","target":"graph","created_at":"2026-07-05T11:04:15Z","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/2505.11401/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study proposes and implements the first LLM agents based agentic pipeline for multi task public opinion analysis. Unlike traditional methods, it offers an end-to-end, fully automated analytical workflow without requiring domain specific training data, manual annotation, or local deployment. The pipeline integrates advanced LLM capabilities into a low-cost, user-friendly framework suitable for resource constrained environments. It enables timely, integrated public opinion analysis through a single natural language query, making it accessible to non-expert users. To validate its effectivene","authors_text":"Jing Liu, Xinxing Ren, Yanmeng Xu, Zekun Guo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2025-05-16T16:09:28Z","title":"Can AI automatically analyze public opinion? A LLM agents-based agentic pipeline for timely public opinion analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.11401","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:bbc2637065c13b334825f1a1164e16c7c2441ebfde810fa6f2e05161a298892e","target":"record","created_at":"2026-07-05T11:04:15Z","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":"3b1893cc2cb0d0f4df997d8077a7c783e15e926f8d11c332308cc019967a70e5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2025-05-16T16:09:28Z","title_canon_sha256":"73a067d49580c6290e97c951c846e2ae6cae474d81b4effb76d7c4bb8c70f901"},"schema_version":"1.0","source":{"id":"2505.11401","kind":"arxiv","version":1}},"canonical_sha256":"4b8b818cb579257229e028fd36428aef1e26cf8d879ea9de66bf00221945e2ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b8b818cb579257229e028fd36428aef1e26cf8d879ea9de66bf00221945e2ff","first_computed_at":"2026-07-05T11:04:15.440388Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:04:15.440388Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P4Xsm5I6ThNtQbnd4MX5smeMWWMiJoo06EpuccizBqXtcnjNmBWt5XVngimy2+O8ZRND/664Shy1I2dMt7NcBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:04:15.440864Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.11401","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bbc2637065c13b334825f1a1164e16c7c2441ebfde810fa6f2e05161a298892e","sha256:0e7ecc4c7913cf99297988383b41c6a66c73d75b297c46732e3e335d5357a7bb"],"state_sha256":"53ab35006309598c102d29b7119cb4ad4cc35ff7d196279e81f6c238507a6f5a"}