{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:XRVBHSELRF4QBFQBHDTUTTIBQZ","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":"dfb4c82e256d8999cc4afd06159811686b7ff91a08f6ebd3f0df564579673ae5","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-12-19T18:21:00Z","title_canon_sha256":"065908195b3407650aef2a4f2aec59fd756131d30fe3ca20f883dee23607a19d"},"schema_version":"1.0","source":{"id":"2212.09689","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.09689","created_at":"2026-07-05T05:26:30Z"},{"alias_kind":"arxiv_version","alias_value":"2212.09689v1","created_at":"2026-07-05T05:26:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.09689","created_at":"2026-07-05T05:26:30Z"},{"alias_kind":"pith_short_12","alias_value":"XRVBHSELRF4Q","created_at":"2026-07-05T05:26:30Z"},{"alias_kind":"pith_short_16","alias_value":"XRVBHSELRF4QBFQB","created_at":"2026-07-05T05:26:30Z"},{"alias_kind":"pith_short_8","alias_value":"XRVBHSEL","created_at":"2026-07-05T05:26:30Z"}],"graph_snapshots":[{"event_id":"sha256:d71fb88764dafa750a8b721d3763eef5d224cc871d22d499af19f25ceff3f02b","target":"graph","created_at":"2026-07-05T05:26:30Z","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/2212.09689/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Instruction tuning enables pretrained language models to perform new tasks from inference-time natural language descriptions. These approaches rely on vast amounts of human supervision in the form of crowdsourced datasets or user interactions. In this work, we introduce Unnatural Instructions: a large dataset of creative and diverse instructions, collected with virtually no human labor. We collect 64,000 examples by prompting a language model with three seed examples of instructions and eliciting a fourth. This set is then expanded by prompting the model to rephrase each instruction, creating ","authors_text":"Omer Levy, Or Honovich, Thomas Scialom, Timo Schick","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-12-19T18:21:00Z","title":"Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.09689","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:eaa685e7b96f59d3085281fef71c454bdf01569b1034bc1b192fb65da8597b92","target":"record","created_at":"2026-07-05T05:26:30Z","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":"dfb4c82e256d8999cc4afd06159811686b7ff91a08f6ebd3f0df564579673ae5","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-12-19T18:21:00Z","title_canon_sha256":"065908195b3407650aef2a4f2aec59fd756131d30fe3ca20f883dee23607a19d"},"schema_version":"1.0","source":{"id":"2212.09689","kind":"arxiv","version":1}},"canonical_sha256":"bc6a13c88b897900960138e749cd018678f67c435b0ba290624feba6ad1c6198","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bc6a13c88b897900960138e749cd018678f67c435b0ba290624feba6ad1c6198","first_computed_at":"2026-07-05T05:26:30.002166Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:26:30.002166Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"inUJtrykYDdOORIb3bkh/fjwvc7SemQuIbGnhUJKi7/m5lcF7LEIykc70n1OLQayeYb/7g9k4vaQ8pHFjWeyAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:26:30.002645Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.09689","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eaa685e7b96f59d3085281fef71c454bdf01569b1034bc1b192fb65da8597b92","sha256:d71fb88764dafa750a8b721d3763eef5d224cc871d22d499af19f25ceff3f02b"],"state_sha256":"a6d33750b6885d838919d6aca5f24ed3b658762e156d1d959cd1f70b44ce7a51"}