{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:EPRNDWZUJ3XC4XVFYF2XOOSO45","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":"8fc8913a3e1658d0f6e4483ffc98e8679e74668be72796a65d9dd0dc4c8914e2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-09-13T21:09:21Z","title_canon_sha256":"797e7aeb3aae2341e3c110f74752818ba7375161d8b9416eee93ae5d2858f48f"},"schema_version":"1.0","source":{"id":"2109.06873","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.06873","created_at":"2026-07-05T04:48:08Z"},{"alias_kind":"arxiv_version","alias_value":"2109.06873v2","created_at":"2026-07-05T04:48:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.06873","created_at":"2026-07-05T04:48:08Z"},{"alias_kind":"pith_short_12","alias_value":"EPRNDWZUJ3XC","created_at":"2026-07-05T04:48:08Z"},{"alias_kind":"pith_short_16","alias_value":"EPRNDWZUJ3XC4XVF","created_at":"2026-07-05T04:48:08Z"},{"alias_kind":"pith_short_8","alias_value":"EPRNDWZU","created_at":"2026-07-05T04:48:08Z"}],"graph_snapshots":[{"event_id":"sha256:9af208a78afbb944bd9ccfd58cb92a0cac38474f31e527bd117af7535a71fbdf","target":"graph","created_at":"2026-07-05T04:48:08Z","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/2109.06873/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce supervised contrastive active learning (SCAL) and propose efficient query strategies in active learning based on the feature similarity (featuresim) and principal component analysis based feature-reconstruction error (fre) to select informative data samples with diverse feature representations. We demonstrate our proposed method achieves state-of-the-art accuracy, model calibration and reduces sampling bias in an active learning setup for balanced and imbalanced datasets on image classification tasks. We also evaluate robustness of model to distributional shift derived from differ","authors_text":"Alok Sinha, Mahesh Subedar, Nilesh Ahuja, Omesh Tickoo, Ranganath Krishnan, Ravi Iyer","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-09-13T21:09:21Z","title":"Robust Contrastive Active Learning with Feature-guided Query Strategies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.06873","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":"sha256:20749a361bcc9e746217049946eeeea3afeadaf4f383b0f1ac9067ac4923ba97","target":"record","created_at":"2026-07-05T04:48:08Z","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":"8fc8913a3e1658d0f6e4483ffc98e8679e74668be72796a65d9dd0dc4c8914e2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-09-13T21:09:21Z","title_canon_sha256":"797e7aeb3aae2341e3c110f74752818ba7375161d8b9416eee93ae5d2858f48f"},"schema_version":"1.0","source":{"id":"2109.06873","kind":"arxiv","version":2}},"canonical_sha256":"23e2d1db344eee2e5ea5c175773a4ee76c70a46f5aaca8d6c20aa1599f4d8acf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"23e2d1db344eee2e5ea5c175773a4ee76c70a46f5aaca8d6c20aa1599f4d8acf","first_computed_at":"2026-07-05T04:48:08.034016Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:48:08.034016Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F46VY9ixmEfUXx6HgIdLqVhW5cJXUNlktMrpHvePZG9muOTpOc1/o1XAdtdqKrzYIhfMUpfoTBOCDI6+ulVVDA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:48:08.034367Z","signed_message":"canonical_sha256_bytes"},"source_id":"2109.06873","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:20749a361bcc9e746217049946eeeea3afeadaf4f383b0f1ac9067ac4923ba97","sha256:9af208a78afbb944bd9ccfd58cb92a0cac38474f31e527bd117af7535a71fbdf"],"state_sha256":"d93d24cc07fb47be6ea0b736ce542f200f74d3437eed7461ab3fd3c161716d60"}