{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:HZ4BEJCPD43C5U4PHGJDL7G2N2","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":"6d65f9a6e1bfe6ba8c05bb8216d034cddc8d27dc3ab961a077168004f74e7ec7","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-11-01T17:31:10Z","title_canon_sha256":"73ef63925d3eade60f7b680de6945cdff38cebac22ce2f46f4c48c842eecf7bd"},"schema_version":"1.0","source":{"id":"1811.00512","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.00512","created_at":"2026-05-17T23:42:26Z"},{"alias_kind":"arxiv_version","alias_value":"1811.00512v2","created_at":"2026-05-17T23:42:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.00512","created_at":"2026-05-17T23:42:26Z"},{"alias_kind":"pith_short_12","alias_value":"HZ4BEJCPD43C","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HZ4BEJCPD43C5U4P","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HZ4BEJCP","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:10ceff8d29d778adf5381bfbeb9dea60dcb4c264ecf2529297d7e8075bb043b8","target":"graph","created_at":"2026-05-17T23:42:26Z","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"},"paper":{"abstract_excerpt":"Beam search is widely used for approximate decoding in structured prediction problems. Models often use a beam at test time but ignore its existence at train time, and therefore do not explicitly learn how to use the beam. We develop an unifying meta-algorithm for learning beam search policies using imitation learning. In our setting, the beam is part of the model, and not just an artifact of approximate decoding. Our meta-algorithm captures existing learning algorithms and suggests new ones. It also lets us show novel no-regret guarantees for learning beam search policies.","authors_text":"Geoffrey J. Gordon, Matthew R. Gormley, Renato Negrinho","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-11-01T17:31:10Z","title":"Learning Beam Search Policies via Imitation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.00512","kind":"arxiv","version":2},"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":"sha256:1102b757784f815fcc8263fcc4cd63e25bc361b9128e0d579d49df4bcb438ce5","target":"record","created_at":"2026-05-17T23:42:26Z","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":"6d65f9a6e1bfe6ba8c05bb8216d034cddc8d27dc3ab961a077168004f74e7ec7","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-11-01T17:31:10Z","title_canon_sha256":"73ef63925d3eade60f7b680de6945cdff38cebac22ce2f46f4c48c842eecf7bd"},"schema_version":"1.0","source":{"id":"1811.00512","kind":"arxiv","version":2}},"canonical_sha256":"3e7812244f1f362ed38f399235fcda6ea7c2d527a29b0851dd9059687de339db","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3e7812244f1f362ed38f399235fcda6ea7c2d527a29b0851dd9059687de339db","first_computed_at":"2026-05-17T23:42:26.711612Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:26.711612Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Gz6s3hHpz47ThqtAg+g8pOJ5i8U+yUcp28PrH1am3QJ11YwBUTNtnpDd0Qtu4K2C0OKspWvlf57LxE2eKQ03BQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:26.712386Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.00512","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1102b757784f815fcc8263fcc4cd63e25bc361b9128e0d579d49df4bcb438ce5","sha256:10ceff8d29d778adf5381bfbeb9dea60dcb4c264ecf2529297d7e8075bb043b8"],"state_sha256":"4083f1ad219a9a1bdda580017dd717b3a60015c8512884df582e9f530e6db043"}