{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:HEYZOQW4TEMMOXVIQ3K7RN3KPE","short_pith_number":"pith:HEYZOQW4","canonical_record":{"source":{"id":"2109.03910","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-09-08T20:08:38Z","cross_cats_sorted":[],"title_canon_sha256":"104205cee85bc16ceb8982f414a65502424d387c4be4b843d71bedf891383ae4","abstract_canon_sha256":"660c87c0ac05c38ae5a3a05fb3095c2b034df59537ee5fe412435df20abe3d1b"},"schema_version":"1.0"},"canonical_sha256":"39319742dc9918c75ea886d5f8b76a790c6b356b7f71bb23984f36eab9466ba6","source":{"kind":"arxiv","id":"2109.03910","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.03910","created_at":"2026-07-05T04:10:23Z"},{"alias_kind":"arxiv_version","alias_value":"2109.03910v4","created_at":"2026-07-05T04:10:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.03910","created_at":"2026-07-05T04:10:23Z"},{"alias_kind":"pith_short_12","alias_value":"HEYZOQW4TEMM","created_at":"2026-07-05T04:10:23Z"},{"alias_kind":"pith_short_16","alias_value":"HEYZOQW4TEMMOXVI","created_at":"2026-07-05T04:10:23Z"},{"alias_kind":"pith_short_8","alias_value":"HEYZOQW4","created_at":"2026-07-05T04:10:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:HEYZOQW4TEMMOXVIQ3K7RN3KPE","target":"record","payload":{"canonical_record":{"source":{"id":"2109.03910","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-09-08T20:08:38Z","cross_cats_sorted":[],"title_canon_sha256":"104205cee85bc16ceb8982f414a65502424d387c4be4b843d71bedf891383ae4","abstract_canon_sha256":"660c87c0ac05c38ae5a3a05fb3095c2b034df59537ee5fe412435df20abe3d1b"},"schema_version":"1.0"},"canonical_sha256":"39319742dc9918c75ea886d5f8b76a790c6b356b7f71bb23984f36eab9466ba6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:10:23.506774Z","signature_b64":"DJYnKPQNLCsnPq3BgwonF2ciHxenrDZmK48pL2Ck9fLP/xg7EV2n/fqoiK95xsUD3nlJgxGjTGlBrfpZJQxFAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"39319742dc9918c75ea886d5f8b76a790c6b356b7f71bb23984f36eab9466ba6","last_reissued_at":"2026-07-05T04:10:23.506289Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:10:23.506289Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2109.03910","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:10:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q91Q3P/kWTi4xd4ovcXDv+dfjki9+xqNM4j0gOhOYvXjR8Lvzgd6s4e0edi9OE+MhzfI5/Qh4ZIIMY/r2twPBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T11:48:40.202225Z"},"content_sha256":"9d74b5ab1883b88fc0ad3e145b67653c4d92e968e275972e190f0d1d17994bdb","schema_version":"1.0","event_id":"sha256:9d74b5ab1883b88fc0ad3e145b67653c4d92e968e275972e190f0d1d17994bdb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:HEYZOQW4TEMMOXVIQ3K7RN3KPE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Recipe For Arbitrary Text Style Transfer with Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Andy Coenen, Ann Yuan, Chris Callison-Burch, Daphne Ippolito, Emily Reif, Jason Wei","submitted_at":"2021-09-08T20:08:38Z","abstract_excerpt":"In this paper, we leverage large language models (LMs) to perform zero-shot text style transfer. We present a prompting method that we call augmented zero-shot learning, which frames style transfer as a sentence rewriting task and requires only a natural language instruction, without model fine-tuning or exemplars in the target style. Augmented zero-shot learning is simple and demonstrates promising results not just on standard style transfer tasks such as sentiment, but also on arbitrary transformations such as \"make this melodramatic\" or \"insert a metaphor.\""},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.03910","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2109.03910/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:10:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SlQj6PBNNbl6KX4RVNONnWPXSB397k4rKz2gkkDkWrg0VGyPmFxWehEBr2VWF3WHTU0oH7b+6a2CtKTAXzy6Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T11:48:40.202820Z"},"content_sha256":"8ba6db7f865549131d90267112516a0696d2642d6d13017b27d0f423d24e86bc","schema_version":"1.0","event_id":"sha256:8ba6db7f865549131d90267112516a0696d2642d6d13017b27d0f423d24e86bc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HEYZOQW4TEMMOXVIQ3K7RN3KPE/bundle.json","state_url":"https://pith.science/pith/HEYZOQW4TEMMOXVIQ3K7RN3KPE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HEYZOQW4TEMMOXVIQ3K7RN3KPE/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-11T11:48:40Z","links":{"resolver":"https://pith.science/pith/HEYZOQW4TEMMOXVIQ3K7RN3KPE","bundle":"https://pith.science/pith/HEYZOQW4TEMMOXVIQ3K7RN3KPE/bundle.json","state":"https://pith.science/pith/HEYZOQW4TEMMOXVIQ3K7RN3KPE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HEYZOQW4TEMMOXVIQ3K7RN3KPE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:HEYZOQW4TEMMOXVIQ3K7RN3KPE","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":"660c87c0ac05c38ae5a3a05fb3095c2b034df59537ee5fe412435df20abe3d1b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-09-08T20:08:38Z","title_canon_sha256":"104205cee85bc16ceb8982f414a65502424d387c4be4b843d71bedf891383ae4"},"schema_version":"1.0","source":{"id":"2109.03910","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.03910","created_at":"2026-07-05T04:10:23Z"},{"alias_kind":"arxiv_version","alias_value":"2109.03910v4","created_at":"2026-07-05T04:10:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.03910","created_at":"2026-07-05T04:10:23Z"},{"alias_kind":"pith_short_12","alias_value":"HEYZOQW4TEMM","created_at":"2026-07-05T04:10:23Z"},{"alias_kind":"pith_short_16","alias_value":"HEYZOQW4TEMMOXVI","created_at":"2026-07-05T04:10:23Z"},{"alias_kind":"pith_short_8","alias_value":"HEYZOQW4","created_at":"2026-07-05T04:10:23Z"}],"graph_snapshots":[{"event_id":"sha256:8ba6db7f865549131d90267112516a0696d2642d6d13017b27d0f423d24e86bc","target":"graph","created_at":"2026-07-05T04:10:23Z","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/2109.03910/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we leverage large language models (LMs) to perform zero-shot text style transfer. We present a prompting method that we call augmented zero-shot learning, which frames style transfer as a sentence rewriting task and requires only a natural language instruction, without model fine-tuning or exemplars in the target style. Augmented zero-shot learning is simple and demonstrates promising results not just on standard style transfer tasks such as sentiment, but also on arbitrary transformations such as \"make this melodramatic\" or \"insert a metaphor.\"","authors_text":"Andy Coenen, Ann Yuan, Chris Callison-Burch, Daphne Ippolito, Emily Reif, Jason Wei","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-09-08T20:08:38Z","title":"A Recipe For Arbitrary Text Style Transfer with Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.03910","kind":"arxiv","version":4},"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":"sha256:9d74b5ab1883b88fc0ad3e145b67653c4d92e968e275972e190f0d1d17994bdb","target":"record","created_at":"2026-07-05T04:10:23Z","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":"660c87c0ac05c38ae5a3a05fb3095c2b034df59537ee5fe412435df20abe3d1b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-09-08T20:08:38Z","title_canon_sha256":"104205cee85bc16ceb8982f414a65502424d387c4be4b843d71bedf891383ae4"},"schema_version":"1.0","source":{"id":"2109.03910","kind":"arxiv","version":4}},"canonical_sha256":"39319742dc9918c75ea886d5f8b76a790c6b356b7f71bb23984f36eab9466ba6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"39319742dc9918c75ea886d5f8b76a790c6b356b7f71bb23984f36eab9466ba6","first_computed_at":"2026-07-05T04:10:23.506289Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:10:23.506289Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DJYnKPQNLCsnPq3BgwonF2ciHxenrDZmK48pL2Ck9fLP/xg7EV2n/fqoiK95xsUD3nlJgxGjTGlBrfpZJQxFAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:10:23.506774Z","signed_message":"canonical_sha256_bytes"},"source_id":"2109.03910","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9d74b5ab1883b88fc0ad3e145b67653c4d92e968e275972e190f0d1d17994bdb","sha256:8ba6db7f865549131d90267112516a0696d2642d6d13017b27d0f423d24e86bc"],"state_sha256":"db15d3f3a1a37ad6efdbbc1fc06442d7ab4047730d45142c4f14ea9b7f54bad1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Td3XX5yEeo5LLxiUmKKw3QOxN71C/6sIXCtMkWr0KCUy3U/lJH4sOXsvUddWPTQrvpZoXZqQ9m4v7a9KIzOvCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T11:48:40.206811Z","bundle_sha256":"87990e6cffbece9ac331d32c70b76c16c81e459db10ccc247a2a4e5aa8f6f23b"}}