{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:3NCQ4DE3HSIHXRHIPC3NNIFMFU","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":"1973186d3f3bd16528efce084122b3b003e8a9a012af927ef303dc829b99e157","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-28T22:35:36Z","title_canon_sha256":"af62256e950b4f801a3d38832425d4c87b192abf7e5281af884c7442f4c50bdc"},"schema_version":"1.0","source":{"id":"1709.10190","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.10190","created_at":"2026-05-18T00:34:04Z"},{"alias_kind":"arxiv_version","alias_value":"1709.10190v1","created_at":"2026-05-18T00:34:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.10190","created_at":"2026-05-18T00:34:04Z"},{"alias_kind":"pith_short_12","alias_value":"3NCQ4DE3HSIH","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"3NCQ4DE3HSIHXRHI","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"3NCQ4DE3","created_at":"2026-05-18T12:30:58Z"}],"graph_snapshots":[{"event_id":"sha256:0576bcc7e72351d1259924427c40e64a754d78d124ad310c7d0e2d2a251a6f8a","target":"graph","created_at":"2026-05-18T00:34:04Z","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":"This work provides a unified framework for addressing the problem of visual supervised domain adaptation and generalization with deep models. The main idea is to exploit the Siamese architecture to learn an embedding subspace that is discriminative, and where mapped visual domains are semantically aligned and yet maximally separated. The supervised setting becomes attractive especially when only few target data samples need to be labeled. In this scenario, alignment and separation of semantic probability distributions is difficult because of the lack of data. We found that by reverting to poin","authors_text":"Donald A. Adjeroh, Gianfranco Doretto, Marco Piccirilli, Saeid Motiian","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-28T22:35:36Z","title":"Unified Deep Supervised Domain Adaptation and Generalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.10190","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:e015bbc35e296bb095cad2dc9a7ebaacbaa48b9a6b957bc5c1460b1694e8aee2","target":"record","created_at":"2026-05-18T00:34:04Z","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":"1973186d3f3bd16528efce084122b3b003e8a9a012af927ef303dc829b99e157","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-28T22:35:36Z","title_canon_sha256":"af62256e950b4f801a3d38832425d4c87b192abf7e5281af884c7442f4c50bdc"},"schema_version":"1.0","source":{"id":"1709.10190","kind":"arxiv","version":1}},"canonical_sha256":"db450e0c9b3c907bc4e878b6d6a0ac2d2ff9b5de50ec49a74b451bb31adbbdf9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db450e0c9b3c907bc4e878b6d6a0ac2d2ff9b5de50ec49a74b451bb31adbbdf9","first_computed_at":"2026-05-18T00:34:04.054041Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:34:04.054041Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2sKk22Jt9opFORZm11FEHplBdU7cTJt5wjbb2vknT9Hq+b0GF/JPUNR98Dr93xPektLKY8a+TcG0uBAzzZ8xDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:34:04.054540Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.10190","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e015bbc35e296bb095cad2dc9a7ebaacbaa48b9a6b957bc5c1460b1694e8aee2","sha256:0576bcc7e72351d1259924427c40e64a754d78d124ad310c7d0e2d2a251a6f8a"],"state_sha256":"ef9b8946507964f43d91624a5b027d26c72373fa891b6af7ef58dd79eb5230f1"}