{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:RWVAIHFYSTKZRNFW3JPQH5DUDC","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":"5e9100a102706cb78981ab40cde02b3bcb9ed64c28302ccddeadb0de43e773f8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-10-06T12:06:19Z","title_canon_sha256":"7ede7ba0bf43a715188397eda3fd717a75c1dbf8216600ee4b3937e2a54cf8fd"},"schema_version":"1.0","source":{"id":"1510.01544","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1510.01544","created_at":"2026-05-18T01:30:56Z"},{"alias_kind":"arxiv_version","alias_value":"1510.01544v1","created_at":"2026-05-18T01:30:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.01544","created_at":"2026-05-18T01:30:56Z"},{"alias_kind":"pith_short_12","alias_value":"RWVAIHFYSTKZ","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_16","alias_value":"RWVAIHFYSTKZRNFW","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_8","alias_value":"RWVAIHFY","created_at":"2026-05-18T12:29:39Z"}],"graph_snapshots":[{"event_id":"sha256:d6fbec710c27e34959abc0490c90851af34cdaed41b4883262cbff9bb0a59949","target":"graph","created_at":"2026-05-18T01:30:56Z","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":"How can we reuse existing knowledge, in the form of available datasets, when solving a new and apparently unrelated target task from a set of unlabeled data? In this work we make a first contribution to answer this question in the context of image classification. We frame this quest as an active learning problem and use zero-shot classifiers to guide the learning process by linking the new task to the existing classifiers. By revisiting the dual formulation of adaptive SVM, we reveal two basic conditions to choose greedily only the most relevant samples to be annotated. On this basis we propos","authors_text":"Cees G.M. Snoek, Efstratios Gavves, Tatiana Tommasi, Thomas Mensink, Tinne Tuytelaars","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-10-06T12:06:19Z","title":"Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.01544","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":"sha256:03fdd15aa06f920cfd7eb84011ddcd942f368085171b1b1edae9bbce36cfad22","target":"record","created_at":"2026-05-18T01:30:56Z","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":"5e9100a102706cb78981ab40cde02b3bcb9ed64c28302ccddeadb0de43e773f8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-10-06T12:06:19Z","title_canon_sha256":"7ede7ba0bf43a715188397eda3fd717a75c1dbf8216600ee4b3937e2a54cf8fd"},"schema_version":"1.0","source":{"id":"1510.01544","kind":"arxiv","version":1}},"canonical_sha256":"8daa041cb894d598b4b6da5f03f47418b7f386e385cbc494f616d68b759191db","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8daa041cb894d598b4b6da5f03f47418b7f386e385cbc494f616d68b759191db","first_computed_at":"2026-05-18T01:30:56.671700Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:30:56.671700Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YvPfl4WtzNHGkCWFANGM7HusQnAR66wWfzN3jlPAorQNJe1oz/tsshaTpN5uUHL2RpUCrE3itvLtAOQZDybiAw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:30:56.672153Z","signed_message":"canonical_sha256_bytes"},"source_id":"1510.01544","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:03fdd15aa06f920cfd7eb84011ddcd942f368085171b1b1edae9bbce36cfad22","sha256:d6fbec710c27e34959abc0490c90851af34cdaed41b4883262cbff9bb0a59949"],"state_sha256":"738683508a9976ce71bea169b49957f0d2bc63f2884f6fd480429c6d465127e7"}