{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:Q4HKCRAV4N5YGZW64IDPKU3DAY","short_pith_number":"pith:Q4HKCRAV","schema_version":"1.0","canonical_sha256":"870ea14415e37b8366dee206f55363060b286642d338b832c7b750924f6a513c","source":{"kind":"arxiv","id":"2010.08566","version":4},"attestation_state":"computed","paper":{"title":"Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ari Holtzman, Chandra Bhagavatula, Jena Hwang, Peter West, Ximing Lu, Yejin Choi","submitted_at":"2020-10-16T18:02:07Z","abstract_excerpt":"Publicly available, large pretrained LanguageModels (LMs) generate text with remarkable quality, but only sequentially from left to right. As a result, they are not immediately applicable to generation tasks that break the unidirectional assumption, such as paraphrasing or text-infilling, necessitating task-specific supervision.\n  In this paper, we present Reflective Decoding, a novel unsupervised algorithm that allows for direct application of unidirectional LMs to non-sequential tasks. Our 2-step approach requires no supervision or even parallel corpora, only two off-the-shelf pretrained LMs"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2010.08566","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-16T18:02:07Z","cross_cats_sorted":[],"title_canon_sha256":"592e4b25278472b753c11c570cee331e11d562fa4149b62855789a1272b566af","abstract_canon_sha256":"b6dc55c2c1bbdfdefead2b14ea7594b8b89d1930b1089c03cb9fa74f0b368976"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:43:37.446366Z","signature_b64":"ds4VUpXqxDTOwfDX4xs3I7b+lI98VOi8TT4ePCd3mr6pvX/FWno/wvedKTtu8+Z4hJluGhlJLBYG+WtEUH11Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"870ea14415e37b8366dee206f55363060b286642d338b832c7b750924f6a513c","last_reissued_at":"2026-07-05T03:43:37.445932Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:43:37.445932Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ari Holtzman, Chandra Bhagavatula, Jena Hwang, Peter West, Ximing Lu, Yejin Choi","submitted_at":"2020-10-16T18:02:07Z","abstract_excerpt":"Publicly available, large pretrained LanguageModels (LMs) generate text with remarkable quality, but only sequentially from left to right. As a result, they are not immediately applicable to generation tasks that break the unidirectional assumption, such as paraphrasing or text-infilling, necessitating task-specific supervision.\n  In this paper, we present Reflective Decoding, a novel unsupervised algorithm that allows for direct application of unidirectional LMs to non-sequential tasks. Our 2-step approach requires no supervision or even parallel corpora, only two off-the-shelf pretrained LMs"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.08566","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/2010.08566/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2010.08566","created_at":"2026-07-05T03:43:37.445995+00:00"},{"alias_kind":"arxiv_version","alias_value":"2010.08566v4","created_at":"2026-07-05T03:43:37.445995+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.08566","created_at":"2026-07-05T03:43:37.445995+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q4HKCRAV4N5Y","created_at":"2026-07-05T03:43:37.445995+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q4HKCRAV4N5YGZW6","created_at":"2026-07-05T03:43:37.445995+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q4HKCRAV","created_at":"2026-07-05T03:43:37.445995+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Q4HKCRAV4N5YGZW64IDPKU3DAY","json":"https://pith.science/pith/Q4HKCRAV4N5YGZW64IDPKU3DAY.json","graph_json":"https://pith.science/api/pith-number/Q4HKCRAV4N5YGZW64IDPKU3DAY/graph.json","events_json":"https://pith.science/api/pith-number/Q4HKCRAV4N5YGZW64IDPKU3DAY/events.json","paper":"https://pith.science/paper/Q4HKCRAV"},"agent_actions":{"view_html":"https://pith.science/pith/Q4HKCRAV4N5YGZW64IDPKU3DAY","download_json":"https://pith.science/pith/Q4HKCRAV4N5YGZW64IDPKU3DAY.json","view_paper":"https://pith.science/paper/Q4HKCRAV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2010.08566&json=true","fetch_graph":"https://pith.science/api/pith-number/Q4HKCRAV4N5YGZW64IDPKU3DAY/graph.json","fetch_events":"https://pith.science/api/pith-number/Q4HKCRAV4N5YGZW64IDPKU3DAY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q4HKCRAV4N5YGZW64IDPKU3DAY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q4HKCRAV4N5YGZW64IDPKU3DAY/action/storage_attestation","attest_author":"https://pith.science/pith/Q4HKCRAV4N5YGZW64IDPKU3DAY/action/author_attestation","sign_citation":"https://pith.science/pith/Q4HKCRAV4N5YGZW64IDPKU3DAY/action/citation_signature","submit_replication":"https://pith.science/pith/Q4HKCRAV4N5YGZW64IDPKU3DAY/action/replication_record"}},"created_at":"2026-07-05T03:43:37.445995+00:00","updated_at":"2026-07-05T03:43:37.445995+00:00"}