{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YUJSPGV3U5ZQTJAWCQGJFP4KWY","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":"2aeab6658db95a38932ded8e81615891386363b399db4f3cce38af1da9b66405","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-08-15T02:07:11Z","title_canon_sha256":"4f08cc25bdc50d410daf0220b8f6452c6306f5e2f4067744ae44429874729de0"},"schema_version":"1.0","source":{"id":"2408.07884","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.07884","created_at":"2026-07-05T08:55:41Z"},{"alias_kind":"arxiv_version","alias_value":"2408.07884v1","created_at":"2026-07-05T08:55:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.07884","created_at":"2026-07-05T08:55:41Z"},{"alias_kind":"pith_short_12","alias_value":"YUJSPGV3U5ZQ","created_at":"2026-07-05T08:55:41Z"},{"alias_kind":"pith_short_16","alias_value":"YUJSPGV3U5ZQTJAW","created_at":"2026-07-05T08:55:41Z"},{"alias_kind":"pith_short_8","alias_value":"YUJSPGV3","created_at":"2026-07-05T08:55:41Z"}],"graph_snapshots":[{"event_id":"sha256:82b3f2974bac1e826f45d335ccc04743682295c2d64bad5fdb444ce9b1321e4f","target":"graph","created_at":"2026-07-05T08:55:41Z","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/2408.07884/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Abstract. Automatically generating scientific literature surveys is a valuable task that can significantly enhance research efficiency. However, the diverse and complex nature of information within a literature survey poses substantial challenges for generative models. In this paper, we design a series of prompts to systematically leverage large language models (LLMs), enabling the creation of comprehensive literature surveys through a step-by-step approach. Specifically, we design prompts to guide LLMs to sequentially generate the title, abstract, hierarchical headings, and the main content o","authors_text":"Chen Zheng, Wenpeng Hu, Yidan Wang, Yupeng Wu, Yuxuan Lai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-08-15T02:07:11Z","title":"Instruct Large Language Models to Generate Scientific Literature Survey Step by Step"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.07884","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:b5c7caa3655474f1c489a6a8821f58780922349364b195c990368a335939217b","target":"record","created_at":"2026-07-05T08:55:41Z","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":"2aeab6658db95a38932ded8e81615891386363b399db4f3cce38af1da9b66405","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-08-15T02:07:11Z","title_canon_sha256":"4f08cc25bdc50d410daf0220b8f6452c6306f5e2f4067744ae44429874729de0"},"schema_version":"1.0","source":{"id":"2408.07884","kind":"arxiv","version":1}},"canonical_sha256":"c513279abba77309a416140c92bf8ab62f99a61baa6211490fbd5891e2be7d6f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c513279abba77309a416140c92bf8ab62f99a61baa6211490fbd5891e2be7d6f","first_computed_at":"2026-07-05T08:55:41.378026Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:55:41.378026Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GHt/iDfpJ+hjJg4SRRGWxhulNd7t/dTqKn0RQpBS3NQ92GD2zBIx0l1V0LkhGoFSboMVGRpAn3OMkRcOiyG1BA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:55:41.378429Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.07884","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b5c7caa3655474f1c489a6a8821f58780922349364b195c990368a335939217b","sha256:82b3f2974bac1e826f45d335ccc04743682295c2d64bad5fdb444ce9b1321e4f"],"state_sha256":"63fd1750fc4a4b3008e67fb546dc67b51c7ffbe7bae2bf41b01ed1b98a192f9f"}