{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EZFFBHKWBBYLETDUFFXIBKCT52","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":"8b02a41b54c98984b8317f48809688043d0ed4da1dc8d7b0bc30ee37d1b12b5e","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-27T00:36:40Z","title_canon_sha256":"e81ed1e7bd73bc32aaf72cd6824eed0216b409253636aec2a4296087847b519f"},"schema_version":"1.0","source":{"id":"2412.19391","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.19391","created_at":"2026-07-05T09:57:49Z"},{"alias_kind":"arxiv_version","alias_value":"2412.19391v2","created_at":"2026-07-05T09:57:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.19391","created_at":"2026-07-05T09:57:49Z"},{"alias_kind":"pith_short_12","alias_value":"EZFFBHKWBBYL","created_at":"2026-07-05T09:57:49Z"},{"alias_kind":"pith_short_16","alias_value":"EZFFBHKWBBYLETDU","created_at":"2026-07-05T09:57:49Z"},{"alias_kind":"pith_short_8","alias_value":"EZFFBHKW","created_at":"2026-07-05T09:57:49Z"}],"graph_snapshots":[{"event_id":"sha256:b87c9ba87ae0a2e1a46b0ef8bfe3209f487a295a1b5aa7968f30f25f602e002c","target":"graph","created_at":"2026-07-05T09:57:49Z","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/2412.19391/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Domain adaptation is an active area of research driven by the growing demand for robust machine learning models that perform well on real-world data. Adversarial learning for deep neural networks (DNNs) has emerged as a promising approach to improving generalization ability, particularly for image classification. In this paper, we implement a specific adversarial learning technique known as Adversarial Discriminative Domain Adaptation (ADDA) and replicate digit classification experiments from the original ADDA paper. We extend their findings by examining a broader range of domain shifts and pr","authors_text":"Edmund Young, Eugene Choi, Julian Rodriguez","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-27T00:36:40Z","title":"An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.19391","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:c6be0085604b94e1867035c03e8168d3da654038f314e9b2bac5de2b7cd7742e","target":"record","created_at":"2026-07-05T09:57:49Z","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":"8b02a41b54c98984b8317f48809688043d0ed4da1dc8d7b0bc30ee37d1b12b5e","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-27T00:36:40Z","title_canon_sha256":"e81ed1e7bd73bc32aaf72cd6824eed0216b409253636aec2a4296087847b519f"},"schema_version":"1.0","source":{"id":"2412.19391","kind":"arxiv","version":2}},"canonical_sha256":"264a509d560870b24c74296e80a853eeaa950359a0c85f3ae527cf650aa90240","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"264a509d560870b24c74296e80a853eeaa950359a0c85f3ae527cf650aa90240","first_computed_at":"2026-07-05T09:57:49.846826Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:57:49.846826Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WLHRyiITUE8R7T5KxSEB4wM+xUrmgSGH3WjlIYkkkzzpsJEyqb6TLIxasmj+c3kMTcOUNpcChRpKWO5Oivx4CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:57:49.847342Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.19391","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c6be0085604b94e1867035c03e8168d3da654038f314e9b2bac5de2b7cd7742e","sha256:b87c9ba87ae0a2e1a46b0ef8bfe3209f487a295a1b5aa7968f30f25f602e002c"],"state_sha256":"131313894ffc997cfe5bfe79f21f7a675fbfb01705ae664b4f8c3a92eff97b03"}