{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ILICL3VHPGMIBV6TWUWVT5JDAI","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":"ff4f0ebde56463e93a795f2b57907bde039a156afef22984326751e7c60b50c7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-14T06:16:49Z","title_canon_sha256":"a03d6b511a0ca5713d856b74cd010090e04b5cf8154e88d5dcc9c550082b49e8"},"schema_version":"1.0","source":{"id":"2311.07930","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.07930","created_at":"2026-07-05T07:12:25Z"},{"alias_kind":"arxiv_version","alias_value":"2311.07930v1","created_at":"2026-07-05T07:12:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.07930","created_at":"2026-07-05T07:12:25Z"},{"alias_kind":"pith_short_12","alias_value":"ILICL3VHPGMI","created_at":"2026-07-05T07:12:25Z"},{"alias_kind":"pith_short_16","alias_value":"ILICL3VHPGMIBV6T","created_at":"2026-07-05T07:12:25Z"},{"alias_kind":"pith_short_8","alias_value":"ILICL3VH","created_at":"2026-07-05T07:12:25Z"}],"graph_snapshots":[{"event_id":"sha256:1af735aca692d83fba59d21c690ac425790fc1a15cadbf16c1710509158e6042","target":"graph","created_at":"2026-07-05T07:12:25Z","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/2311.07930/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent developments in large language models (LLMs) have shown promise in their ability to generate synthetic query-document pairs by prompting with as few as 8 demonstrations. This has enabled building better IR models, especially for tasks with no training data readily available. Typically, such synthetic query generation (QGen) approaches condition on an input context (e.g. a text document) and generate a query relevant to that context, or condition the QGen model additionally on the relevance label (e.g. relevant vs irrelevant) to generate queries across relevance buckets. However, we find","authors_text":"Aditi Chaudhary, Karthik Raman, Michael Bendersky","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-14T06:16:49Z","title":"It's All Relative! -- A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.07930","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":"sha256:17dc5a78e434b4723890e91b6153225dbda6747588afdb0684689360d8ec0819","target":"record","created_at":"2026-07-05T07:12:25Z","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":"ff4f0ebde56463e93a795f2b57907bde039a156afef22984326751e7c60b50c7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-14T06:16:49Z","title_canon_sha256":"a03d6b511a0ca5713d856b74cd010090e04b5cf8154e88d5dcc9c550082b49e8"},"schema_version":"1.0","source":{"id":"2311.07930","kind":"arxiv","version":1}},"canonical_sha256":"42d025eea7799880d7d3b52d59f5230228dcfd26074d9d5a8b50bedc0e63d502","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"42d025eea7799880d7d3b52d59f5230228dcfd26074d9d5a8b50bedc0e63d502","first_computed_at":"2026-07-05T07:12:25.994178Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:12:25.994178Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/lovsD6Z43m3YzK1ZwUwcbxf9Z/hwbmbiAZZcQIssZzgETx6AeViSKw3e4/cqbZ65QTKhxJeK9f+ZQiH4ZVoAg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:12:25.994636Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.07930","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:17dc5a78e434b4723890e91b6153225dbda6747588afdb0684689360d8ec0819","sha256:1af735aca692d83fba59d21c690ac425790fc1a15cadbf16c1710509158e6042"],"state_sha256":"2a6c3dfccc971a908fdfa01b66d27974dceb6e7b1170e5ad3534db0aecb1ef2a"}