{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:IS5SYK5AEKV7UCS47WSEFPJQG5","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":"cfa71db8e3146719200283728edae1461fa8322a25378195c0100bb5fc7d326b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2022-09-23T12:56:03Z","title_canon_sha256":"2d0965a8eca7727ab71f7d85e617ba092ef8063e193f28d2851de30f893969cf"},"schema_version":"1.0","source":{"id":"2209.11570","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.11570","created_at":"2026-07-05T05:00:22Z"},{"alias_kind":"arxiv_version","alias_value":"2209.11570v1","created_at":"2026-07-05T05:00:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.11570","created_at":"2026-07-05T05:00:22Z"},{"alias_kind":"pith_short_12","alias_value":"IS5SYK5AEKV7","created_at":"2026-07-05T05:00:22Z"},{"alias_kind":"pith_short_16","alias_value":"IS5SYK5AEKV7UCS4","created_at":"2026-07-05T05:00:22Z"},{"alias_kind":"pith_short_8","alias_value":"IS5SYK5A","created_at":"2026-07-05T05:00:22Z"}],"graph_snapshots":[{"event_id":"sha256:5a0c58c794f322cc1f778c76ae8555020aea8bb162a6df9cc85108222ed698bc","target":"graph","created_at":"2026-07-05T05:00:22Z","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/2209.11570/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prompt learning is an effective paradigm that bridges gaps between the pre-training tasks and the corresponding downstream applications. Approaches based on this paradigm have achieved great transcendent results in various applications. However, it still needs to be answered how to design a unified framework based on the prompt learning paradigm for various information extraction tasks. In this paper, we propose a novel composable prompt-based generative framework, which could be applied to a wide range of tasks in the field of Information Extraction. Specifically, we reformulate information e","authors_text":"Dongsheng Li, Linbo Qiao, Linhui Feng, Xipeng Qiu, Zhangyue Yin, Zhigang Kan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2022-09-23T12:56:03Z","title":"A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.11570","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:f714bf0629a917cdca495486b8a7978ec8fb47d93a089ffb5949705937e607d1","target":"record","created_at":"2026-07-05T05:00:22Z","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":"cfa71db8e3146719200283728edae1461fa8322a25378195c0100bb5fc7d326b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2022-09-23T12:56:03Z","title_canon_sha256":"2d0965a8eca7727ab71f7d85e617ba092ef8063e193f28d2851de30f893969cf"},"schema_version":"1.0","source":{"id":"2209.11570","kind":"arxiv","version":1}},"canonical_sha256":"44bb2c2ba022abfa0a5cfda442bd30374c461704e5dd4213aa9498bf39859dcf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"44bb2c2ba022abfa0a5cfda442bd30374c461704e5dd4213aa9498bf39859dcf","first_computed_at":"2026-07-05T05:00:22.501574Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:00:22.501574Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vvBeeB06QEIXMoST41zLPr0qLqwYA5tQoDnLKMYBc9Hoi2reMB+GnV3DEV76HaWV7pY/THpzdRIFg2WjhgPrAA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:00:22.501992Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.11570","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f714bf0629a917cdca495486b8a7978ec8fb47d93a089ffb5949705937e607d1","sha256:5a0c58c794f322cc1f778c76ae8555020aea8bb162a6df9cc85108222ed698bc"],"state_sha256":"5786d402f210cee3b6a5a60393ac05ada80d649c3f74f3eebaf6cc839fdeead6"}