{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:RMOBQEHEGMNUUPKTDUEIT4WMEM","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":"5cf8721ee467a61ffd538f6de5dd815763c1fcaad8816fc07be7e7b210b48ac6","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-08-23T12:31:37Z","title_canon_sha256":"40b1c5cd32f19210901c5fe7fe28500c4e2c95744bbcc499b35c90bf240482b3"},"schema_version":"1.0","source":{"id":"2008.10030","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.10030","created_at":"2026-07-05T01:29:20Z"},{"alias_kind":"arxiv_version","alias_value":"2008.10030v1","created_at":"2026-07-05T01:29:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.10030","created_at":"2026-07-05T01:29:20Z"},{"alias_kind":"pith_short_12","alias_value":"RMOBQEHEGMNU","created_at":"2026-07-05T01:29:20Z"},{"alias_kind":"pith_short_16","alias_value":"RMOBQEHEGMNUUPKT","created_at":"2026-07-05T01:29:20Z"},{"alias_kind":"pith_short_8","alias_value":"RMOBQEHE","created_at":"2026-07-05T01:29:20Z"}],"graph_snapshots":[{"event_id":"sha256:e58c356390668426092d892d4cf1b878e4429d997ee45606e6bb3b9a1dcbd83a","target":"graph","created_at":"2026-07-05T01:29:20Z","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/2008.10030/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unsupervised domain adaptation is effective in leveraging rich information from a labeled source domain to an unlabeled target domain. Though deep learning and adversarial strategy made a significant breakthrough in the adaptability of features, there are two issues to be further studied. First, hard-assigned pseudo labels on the target domain are arbitrary and error-prone, and direct application of them may destroy the intrinsic data structure. Second, batch-wise training of deep learning limits the characterization of the global structure. In this paper, a Riemannian manifold learning framew","authors_text":"Chuan-Xian Ren, Dao-Qing Dai, Hong Yan, You-Wei Luo","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-08-23T12:31:37Z","title":"Unsupervised Domain Adaptation via Discriminative Manifold Propagation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.10030","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":"sha256:4384f221a7e7d38660353c23a55c6f1503fa591a142027bf02d823668e68aae0","target":"record","created_at":"2026-07-05T01:29:20Z","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":"5cf8721ee467a61ffd538f6de5dd815763c1fcaad8816fc07be7e7b210b48ac6","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-08-23T12:31:37Z","title_canon_sha256":"40b1c5cd32f19210901c5fe7fe28500c4e2c95744bbcc499b35c90bf240482b3"},"schema_version":"1.0","source":{"id":"2008.10030","kind":"arxiv","version":1}},"canonical_sha256":"8b1c1810e4331b4a3d531d0889f2cc2319cfb2b58ee605873ed5a5d1b7a4dad4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8b1c1810e4331b4a3d531d0889f2cc2319cfb2b58ee605873ed5a5d1b7a4dad4","first_computed_at":"2026-07-05T01:29:20.105226Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:29:20.105226Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Oe1VSMzMzCLvsoMAkfn+45JhBHMsmLJDWAwIVAB6mhclDpWcRMLxsR7CF/Adhzl7fnGDkSqTfcMK9fxHnJHyCg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:29:20.105584Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.10030","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4384f221a7e7d38660353c23a55c6f1503fa591a142027bf02d823668e68aae0","sha256:e58c356390668426092d892d4cf1b878e4429d997ee45606e6bb3b9a1dcbd83a"],"state_sha256":"8ef481d802649b574def58c46f80b2627424ea7d2b15b57c103f9890841fa9fb"}