{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:U4MB25ESJUAFXNJAZDO6PW2NDA","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":"2dd11419f1f92f3951e77a9e5def703bdbc6a66606e64bbc42051354cd423d55","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-01T08:24:26Z","title_canon_sha256":"f1de9991080bd907e26e38c6c73980b00aab8c4eac3f4ac1692866f08b52b018"},"schema_version":"1.0","source":{"id":"1906.00181","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.00181","created_at":"2026-07-05T00:03:15Z"},{"alias_kind":"arxiv_version","alias_value":"1906.00181v3","created_at":"2026-07-05T00:03:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.00181","created_at":"2026-07-05T00:03:15Z"},{"alias_kind":"pith_short_12","alias_value":"U4MB25ESJUAF","created_at":"2026-07-05T00:03:15Z"},{"alias_kind":"pith_short_16","alias_value":"U4MB25ESJUAFXNJA","created_at":"2026-07-05T00:03:15Z"},{"alias_kind":"pith_short_8","alias_value":"U4MB25ES","created_at":"2026-07-05T00:03:15Z"}],"graph_snapshots":[{"event_id":"sha256:b774334e0732951c2fe4e75d0d03e87effbec7a9f2706c52fa65a280e568e893","target":"graph","created_at":"2026-07-05T00:03:15Z","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/1906.00181/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unsupervised domain translation has recently achieved impressive performance with Generative Adversarial Network (GAN) and sufficient (unpaired) training data. However, existing domain translation frameworks form in a disposable way where the learning experiences are ignored and the obtained model cannot be adapted to a new coming domain. In this work, we take on unsupervised domain translation problems from a meta-learning perspective. We propose a model called Meta-Translation GAN (MT-GAN) to find good initialization of translation models. In the meta-training procedure, MT-GAN is explicitly","authors_text":"Jianxin Lin, Tianyu He, Yijun Wang, Zhibo Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-01T08:24:26Z","title":"Learning to Transfer: Unsupervised Meta Domain Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.00181","kind":"arxiv","version":3},"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:d72bf098208852cb53119a5610371131bf39053f347af5c8e270f03d317078d9","target":"record","created_at":"2026-07-05T00:03:15Z","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":"2dd11419f1f92f3951e77a9e5def703bdbc6a66606e64bbc42051354cd423d55","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-01T08:24:26Z","title_canon_sha256":"f1de9991080bd907e26e38c6c73980b00aab8c4eac3f4ac1692866f08b52b018"},"schema_version":"1.0","source":{"id":"1906.00181","kind":"arxiv","version":3}},"canonical_sha256":"a7181d74924d005bb520c8dde7db4d1805886c0d1552c3506bc3e03e3a6041a2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a7181d74924d005bb520c8dde7db4d1805886c0d1552c3506bc3e03e3a6041a2","first_computed_at":"2026-07-05T00:03:15.303149Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:03:15.303149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yzyGiu6YVxtVnvD/L65WQngWEZETkXC0+zDlYJc+OrjfqN0YfKuH572V9VZCwc8j3Vn/vcvThFsjnzqj7bSLCw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:03:15.303640Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.00181","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d72bf098208852cb53119a5610371131bf39053f347af5c8e270f03d317078d9","sha256:b774334e0732951c2fe4e75d0d03e87effbec7a9f2706c52fa65a280e568e893"],"state_sha256":"d05928649c6ee3c2988dc77f838119f757381a1808e9c75a4e5cc4642b04f034"}