{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:YKO5YMEEF2KZMNTZK2LAEHXO63","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":"edf0adb072111c77e66c90e811aac3f117db90b93c18df3d87a2cd0139914fcb","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-03T15:03:36Z","title_canon_sha256":"0ef4ed8cf9dd97e9deda096fe19ea7a9e06afbd3474c5a59a08780ff270f21f9"},"schema_version":"1.0","source":{"id":"2311.01967","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.01967","created_at":"2026-07-05T07:08:48Z"},{"alias_kind":"arxiv_version","alias_value":"2311.01967v1","created_at":"2026-07-05T07:08:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.01967","created_at":"2026-07-05T07:08:48Z"},{"alias_kind":"pith_short_12","alias_value":"YKO5YMEEF2KZ","created_at":"2026-07-05T07:08:48Z"},{"alias_kind":"pith_short_16","alias_value":"YKO5YMEEF2KZMNTZ","created_at":"2026-07-05T07:08:48Z"},{"alias_kind":"pith_short_8","alias_value":"YKO5YMEE","created_at":"2026-07-05T07:08:48Z"}],"graph_snapshots":[{"event_id":"sha256:377136579290fa94d53fd6bbd0e188309f9bb880405edb3cfa42758ac139a4af","target":"graph","created_at":"2026-07-05T07:08:48Z","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/2311.01967/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The latest generation of LLMs can be prompted to achieve impressive zero-shot or few-shot performance in many NLP tasks. However, since performance is highly sensitive to the choice of prompts, considerable effort has been devoted to crowd-sourcing prompts or designing methods for prompt optimisation. Yet, we still lack a systematic understanding of how linguistic properties of prompts correlate with task performance. In this work, we investigate how LLMs of different sizes, pre-trained and instruction-tuned, perform on prompts that are semantically equivalent, but vary in linguistic structure","authors_text":"Alina Leidinger, Ekaterina Shutova, Robert van Rooij","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-03T15:03:36Z","title":"The language of prompting: What linguistic properties make a prompt successful?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.01967","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:f9d64e6eb2b2e5259b96ea753aab61ff182a8dc55dbc50b9179d5a528e2ce27a","target":"record","created_at":"2026-07-05T07:08:48Z","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":"edf0adb072111c77e66c90e811aac3f117db90b93c18df3d87a2cd0139914fcb","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-03T15:03:36Z","title_canon_sha256":"0ef4ed8cf9dd97e9deda096fe19ea7a9e06afbd3474c5a59a08780ff270f21f9"},"schema_version":"1.0","source":{"id":"2311.01967","kind":"arxiv","version":1}},"canonical_sha256":"c29ddc30842e959636795696021eeef6dc1ceb08e56533ef13025142d74b0287","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c29ddc30842e959636795696021eeef6dc1ceb08e56533ef13025142d74b0287","first_computed_at":"2026-07-05T07:08:48.122834Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:08:48.122834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nGQgeagzdVDfoRjUYYsCDPFrEbYBAdTJ4zcfIJAbu15+J2witrX9d2T40P/HFa0hqMcd0DejDLIp9ZgddMrwCA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:08:48.123368Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.01967","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f9d64e6eb2b2e5259b96ea753aab61ff182a8dc55dbc50b9179d5a528e2ce27a","sha256:377136579290fa94d53fd6bbd0e188309f9bb880405edb3cfa42758ac139a4af"],"state_sha256":"f7017526aef7a079a276281ddb2968d68e5853c55801664b4c6c57e9638596ce"}