{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:NOD24BG44YYYG7B7QU47JATPJI","short_pith_number":"pith:NOD24BG4","canonical_record":{"source":{"id":"1507.04155","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-07-15T10:31:00Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"3447f223343208d3c2a812db5691e27a8911d9e5ac32ba75f59e1cb134d49686","abstract_canon_sha256":"61e7e422ff3499bcbd399a1867fed9872824ac9a1e0d00615cc2af0215bc0785"},"schema_version":"1.0"},"canonical_sha256":"6b87ae04dce631837c3f8539f4826f4a105b0b62218ddbaa813ccb8c0a047a93","source":{"kind":"arxiv","id":"1507.04155","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1507.04155","created_at":"2026-05-18T01:09:46Z"},{"alias_kind":"arxiv_version","alias_value":"1507.04155v1","created_at":"2026-05-18T01:09:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1507.04155","created_at":"2026-05-18T01:09:46Z"},{"alias_kind":"pith_short_12","alias_value":"NOD24BG44YYY","created_at":"2026-05-18T12:29:34Z"},{"alias_kind":"pith_short_16","alias_value":"NOD24BG44YYYG7B7","created_at":"2026-05-18T12:29:34Z"},{"alias_kind":"pith_short_8","alias_value":"NOD24BG4","created_at":"2026-05-18T12:29:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:NOD24BG44YYYG7B7QU47JATPJI","target":"record","payload":{"canonical_record":{"source":{"id":"1507.04155","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-07-15T10:31:00Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"3447f223343208d3c2a812db5691e27a8911d9e5ac32ba75f59e1cb134d49686","abstract_canon_sha256":"61e7e422ff3499bcbd399a1867fed9872824ac9a1e0d00615cc2af0215bc0785"},"schema_version":"1.0"},"canonical_sha256":"6b87ae04dce631837c3f8539f4826f4a105b0b62218ddbaa813ccb8c0a047a93","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:09:46.349470Z","signature_b64":"exqgSh97Qd/zlv5YkC5uePGD1E6dyXJAtrQqfvsprJiEQ5+L9R3g5LbORsRY+GeOiq0S332e3A2N3EY9OwXbCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6b87ae04dce631837c3f8539f4826f4a105b0b62218ddbaa813ccb8c0a047a93","last_reissued_at":"2026-05-18T01:09:46.348701Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:09:46.348701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1507.04155","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:09:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CaEx45onlsZBpDseaSGuuzSSbmCmVLQmWbkqJZL+V6ivU0zF7pm8Robkwr3PJDCqf5RvBnmnPFDam/bDws3nAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T14:58:32.065756Z"},"content_sha256":"c3c69d419bc32ce2e013bb682f590b989d56d7846b150a69d59593231497e675","schema_version":"1.0","event_id":"sha256:c3c69d419bc32ce2e013bb682f590b989d56d7846b150a69d59593231497e675"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:NOD24BG44YYYG7B7QU47JATPJI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ALEVS: Active Learning by Statistical Leverage Sampling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Cem Orhan, \\\"Oznur Ta\\c{s}tan","submitted_at":"2015-07-15T10:31:00Z","abstract_excerpt":"Active learning aims to obtain a classifier of high accuracy by using fewer label requests in comparison to passive learning by selecting effective queries. Many active learning methods have been developed in the past two decades, which sample queries based on informativeness or representativeness of unlabeled data points. In this work, we explore a novel querying criterion based on statistical leverage scores. The statistical leverage scores of a row in a matrix are the squared row-norms of the matrix containing its (top) left singular vectors and is a measure of influence of the row on the m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1507.04155","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":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:09:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xbVaQYiMGNa9H5n6J7Orvlcv8ceO8qI+AnPhzhr0Y47ncHB6hX9LITdp7QNGojmJ/YZi+nXqZODwjtIBBliUBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T14:58:32.066554Z"},"content_sha256":"619d6b27ed0370769cb07f05afdd4091c259627b46972675ae518b29eff9064e","schema_version":"1.0","event_id":"sha256:619d6b27ed0370769cb07f05afdd4091c259627b46972675ae518b29eff9064e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NOD24BG44YYYG7B7QU47JATPJI/bundle.json","state_url":"https://pith.science/pith/NOD24BG44YYYG7B7QU47JATPJI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NOD24BG44YYYG7B7QU47JATPJI/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-17T14:58:32Z","links":{"resolver":"https://pith.science/pith/NOD24BG44YYYG7B7QU47JATPJI","bundle":"https://pith.science/pith/NOD24BG44YYYG7B7QU47JATPJI/bundle.json","state":"https://pith.science/pith/NOD24BG44YYYG7B7QU47JATPJI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NOD24BG44YYYG7B7QU47JATPJI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:NOD24BG44YYYG7B7QU47JATPJI","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":"61e7e422ff3499bcbd399a1867fed9872824ac9a1e0d00615cc2af0215bc0785","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-07-15T10:31:00Z","title_canon_sha256":"3447f223343208d3c2a812db5691e27a8911d9e5ac32ba75f59e1cb134d49686"},"schema_version":"1.0","source":{"id":"1507.04155","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1507.04155","created_at":"2026-05-18T01:09:46Z"},{"alias_kind":"arxiv_version","alias_value":"1507.04155v1","created_at":"2026-05-18T01:09:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1507.04155","created_at":"2026-05-18T01:09:46Z"},{"alias_kind":"pith_short_12","alias_value":"NOD24BG44YYY","created_at":"2026-05-18T12:29:34Z"},{"alias_kind":"pith_short_16","alias_value":"NOD24BG44YYYG7B7","created_at":"2026-05-18T12:29:34Z"},{"alias_kind":"pith_short_8","alias_value":"NOD24BG4","created_at":"2026-05-18T12:29:34Z"}],"graph_snapshots":[{"event_id":"sha256:619d6b27ed0370769cb07f05afdd4091c259627b46972675ae518b29eff9064e","target":"graph","created_at":"2026-05-18T01:09:46Z","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":"Active learning aims to obtain a classifier of high accuracy by using fewer label requests in comparison to passive learning by selecting effective queries. Many active learning methods have been developed in the past two decades, which sample queries based on informativeness or representativeness of unlabeled data points. In this work, we explore a novel querying criterion based on statistical leverage scores. The statistical leverage scores of a row in a matrix are the squared row-norms of the matrix containing its (top) left singular vectors and is a measure of influence of the row on the m","authors_text":"Cem Orhan, \\\"Oznur Ta\\c{s}tan","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-07-15T10:31:00Z","title":"ALEVS: Active Learning by Statistical Leverage Sampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1507.04155","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:c3c69d419bc32ce2e013bb682f590b989d56d7846b150a69d59593231497e675","target":"record","created_at":"2026-05-18T01:09:46Z","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":"61e7e422ff3499bcbd399a1867fed9872824ac9a1e0d00615cc2af0215bc0785","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-07-15T10:31:00Z","title_canon_sha256":"3447f223343208d3c2a812db5691e27a8911d9e5ac32ba75f59e1cb134d49686"},"schema_version":"1.0","source":{"id":"1507.04155","kind":"arxiv","version":1}},"canonical_sha256":"6b87ae04dce631837c3f8539f4826f4a105b0b62218ddbaa813ccb8c0a047a93","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6b87ae04dce631837c3f8539f4826f4a105b0b62218ddbaa813ccb8c0a047a93","first_computed_at":"2026-05-18T01:09:46.348701Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:09:46.348701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"exqgSh97Qd/zlv5YkC5uePGD1E6dyXJAtrQqfvsprJiEQ5+L9R3g5LbORsRY+GeOiq0S332e3A2N3EY9OwXbCA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:09:46.349470Z","signed_message":"canonical_sha256_bytes"},"source_id":"1507.04155","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c3c69d419bc32ce2e013bb682f590b989d56d7846b150a69d59593231497e675","sha256:619d6b27ed0370769cb07f05afdd4091c259627b46972675ae518b29eff9064e"],"state_sha256":"f8fb35934aae58105542fef0c6d268e2392267cce4ec27c03b153e44e7d8be08"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fsNpcCdAcYrFvvbF1C4boQ5ULdTROgiZcaJDEYV7YhaxhSehZ4dJoGNqvLzr0PsRvF+/WWJyrBAUnVlOLPtGBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T14:58:32.082433Z","bundle_sha256":"fc79d0049b35c74a29d678bb5e4db89ff59c47531606729fcec0f7536be239cc"}}