{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:KI3UFUHY7DFSJTW7PCDJFVUEDC","short_pith_number":"pith:KI3UFUHY","schema_version":"1.0","canonical_sha256":"523742d0f8f8cb24cedf788692d68418b1711bc192e02d90c12b48d94b713723","source":{"kind":"arxiv","id":"2210.15909","version":1},"attestation_state":"computed","paper":{"title":"Subsidiary Prototype Alignment for Universal Domain Adaptation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Akshay Kulkarni, Hiran Sarkar, Jogendra Nath Kundu, R. Venkatesh Babu, Suvaansh Bhambri, Varun Jampani","submitted_at":"2022-10-28T05:32:14Z","abstract_excerpt":"Universal Domain Adaptation (UniDA) deals with the problem of knowledge transfer between two datasets with domain-shift as well as category-shift. The goal is to categorize unlabeled target samples, either into one of the \"known\" categories or into a single \"unknown\" category. A major problem in UniDA is negative transfer, i.e. misalignment of \"known\" and \"unknown\" classes. To this end, we first uncover an intriguing tradeoff between negative-transfer-risk and domain-invariance exhibited at different layers of a deep network. It turns out we can strike a balance between these two metrics at a "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2210.15909","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-10-28T05:32:14Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3c6b69d6d9a1b5734d4d94d9cdb917792f8f385ed619540fbacae9dcc71474d6","abstract_canon_sha256":"df4b52c14daaa4186d9d6ea85534631e79ffa891303378cdb1d868ff82e2aed7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:11:27.369563Z","signature_b64":"0/EeC3yF2fkefUgMTMfgGUlP0AgV79M8uHxZnAz92Yrt86VJAaeDc/7Efc14rltfehMenNJSdZDncCWj3kHfBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"523742d0f8f8cb24cedf788692d68418b1711bc192e02d90c12b48d94b713723","last_reissued_at":"2026-07-05T05:11:27.368950Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:11:27.368950Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Subsidiary Prototype Alignment for Universal Domain Adaptation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Akshay Kulkarni, Hiran Sarkar, Jogendra Nath Kundu, R. Venkatesh Babu, Suvaansh Bhambri, Varun Jampani","submitted_at":"2022-10-28T05:32:14Z","abstract_excerpt":"Universal Domain Adaptation (UniDA) deals with the problem of knowledge transfer between two datasets with domain-shift as well as category-shift. The goal is to categorize unlabeled target samples, either into one of the \"known\" categories or into a single \"unknown\" category. A major problem in UniDA is negative transfer, i.e. misalignment of \"known\" and \"unknown\" classes. To this end, we first uncover an intriguing tradeoff between negative-transfer-risk and domain-invariance exhibited at different layers of a deep network. It turns out we can strike a balance between these two metrics at a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.15909","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2210.15909/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2210.15909","created_at":"2026-07-05T05:11:27.369024+00:00"},{"alias_kind":"arxiv_version","alias_value":"2210.15909v1","created_at":"2026-07-05T05:11:27.369024+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.15909","created_at":"2026-07-05T05:11:27.369024+00:00"},{"alias_kind":"pith_short_12","alias_value":"KI3UFUHY7DFS","created_at":"2026-07-05T05:11:27.369024+00:00"},{"alias_kind":"pith_short_16","alias_value":"KI3UFUHY7DFSJTW7","created_at":"2026-07-05T05:11:27.369024+00:00"},{"alias_kind":"pith_short_8","alias_value":"KI3UFUHY","created_at":"2026-07-05T05:11:27.369024+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/KI3UFUHY7DFSJTW7PCDJFVUEDC","json":"https://pith.science/pith/KI3UFUHY7DFSJTW7PCDJFVUEDC.json","graph_json":"https://pith.science/api/pith-number/KI3UFUHY7DFSJTW7PCDJFVUEDC/graph.json","events_json":"https://pith.science/api/pith-number/KI3UFUHY7DFSJTW7PCDJFVUEDC/events.json","paper":"https://pith.science/paper/KI3UFUHY"},"agent_actions":{"view_html":"https://pith.science/pith/KI3UFUHY7DFSJTW7PCDJFVUEDC","download_json":"https://pith.science/pith/KI3UFUHY7DFSJTW7PCDJFVUEDC.json","view_paper":"https://pith.science/paper/KI3UFUHY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2210.15909&json=true","fetch_graph":"https://pith.science/api/pith-number/KI3UFUHY7DFSJTW7PCDJFVUEDC/graph.json","fetch_events":"https://pith.science/api/pith-number/KI3UFUHY7DFSJTW7PCDJFVUEDC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KI3UFUHY7DFSJTW7PCDJFVUEDC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KI3UFUHY7DFSJTW7PCDJFVUEDC/action/storage_attestation","attest_author":"https://pith.science/pith/KI3UFUHY7DFSJTW7PCDJFVUEDC/action/author_attestation","sign_citation":"https://pith.science/pith/KI3UFUHY7DFSJTW7PCDJFVUEDC/action/citation_signature","submit_replication":"https://pith.science/pith/KI3UFUHY7DFSJTW7PCDJFVUEDC/action/replication_record"}},"created_at":"2026-07-05T05:11:27.369024+00:00","updated_at":"2026-07-05T05:11:27.369024+00:00"}