{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:WMFXDLCFVSB2K2XBDJUZ5ZOSUO","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":"b154c71e39f3e3fa7f0a839669339312d14c1c971bff05fab91e09a0b7066283","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-05-18T01:10:09Z","title_canon_sha256":"f4429516583b2fc2b8a69906fffd15e4f3727470a8cbc10d34e94fdf8c71e9ea"},"schema_version":"1.0","source":{"id":"1805.07010","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.07010","created_at":"2026-05-18T00:15:41Z"},{"alias_kind":"arxiv_version","alias_value":"1805.07010v1","created_at":"2026-05-18T00:15:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.07010","created_at":"2026-05-18T00:15:41Z"},{"alias_kind":"pith_short_12","alias_value":"WMFXDLCFVSB2","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"WMFXDLCFVSB2K2XB","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"WMFXDLCF","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:386ba1ba66293b243540936cccd2fc80456d77704f9e50dd24d810653e664dc6","target":"graph","created_at":"2026-05-18T00:15:41Z","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":"Many problems at the intersection of combinatorics and computer science require solving for a permutation that optimally matches, ranks, or sorts some data. These problems usually have a task-specific, often non-differentiable objective function that data-driven algorithms can use as a learning signal. In this paper, we propose the Sinkhorn Policy Gradient (SPG) algorithm for learning policies on permutation matrices. The actor-critic neural network architecture we introduce for SPG uniquely decouples representation learning of the state space from the highly-structured action space of permuta","authors_text":"Patrick Emami, Sanjay Ranka","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-05-18T01:10:09Z","title":"Learning Permutations with Sinkhorn Policy Gradient"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.07010","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:d11abc8af963c306647b3c4d8af929f39edc888e5a9f46d694cd39fe9132d242","target":"record","created_at":"2026-05-18T00:15:41Z","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":"b154c71e39f3e3fa7f0a839669339312d14c1c971bff05fab91e09a0b7066283","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-05-18T01:10:09Z","title_canon_sha256":"f4429516583b2fc2b8a69906fffd15e4f3727470a8cbc10d34e94fdf8c71e9ea"},"schema_version":"1.0","source":{"id":"1805.07010","kind":"arxiv","version":1}},"canonical_sha256":"b30b71ac45ac83a56ae11a699ee5d2a38fac6268a9f18faf1af926526f4ea3f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b30b71ac45ac83a56ae11a699ee5d2a38fac6268a9f18faf1af926526f4ea3f1","first_computed_at":"2026-05-18T00:15:41.360223Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:15:41.360223Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SXz1IfY70erWej6EsGn3gowI/GNSDYwCAt3Js8JNZecw1J5Tj7rlaKuKlbvt0iRoFmvVGFSAyo4D+JtymUa+CA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:15:41.360790Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.07010","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d11abc8af963c306647b3c4d8af929f39edc888e5a9f46d694cd39fe9132d242","sha256:386ba1ba66293b243540936cccd2fc80456d77704f9e50dd24d810653e664dc6"],"state_sha256":"f6877ca6a788f01ed54a5caaa935f774bfb85e373108ddf25ba7ce322873867e"}