{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2011:SAEVN5PTO4C6EKGI7UABW3ZCLA","short_pith_number":"pith:SAEVN5PT","canonical_record":{"source":{"id":"1112.1556","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2011-12-07T13:34:25Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"aa5a97e044dc05d66285c9bddadddf8e680e8fb9d3c172642c42a64646801921","abstract_canon_sha256":"a5fd134dda1090a63f8f186b31ce9c1044d73b965407c39e7e4fcbb9eb52b4ec"},"schema_version":"1.0"},"canonical_sha256":"900956f5f37705e228c8fd001b6f225811fb5126cf39bc883ea56c0675526322","source":{"kind":"arxiv","id":"1112.1556","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1112.1556","created_at":"2026-05-18T02:21:27Z"},{"alias_kind":"arxiv_version","alias_value":"1112.1556v3","created_at":"2026-05-18T02:21:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1112.1556","created_at":"2026-05-18T02:21:27Z"},{"alias_kind":"pith_short_12","alias_value":"SAEVN5PTO4C6","created_at":"2026-05-18T12:26:41Z"},{"alias_kind":"pith_short_16","alias_value":"SAEVN5PTO4C6EKGI","created_at":"2026-05-18T12:26:41Z"},{"alias_kind":"pith_short_8","alias_value":"SAEVN5PT","created_at":"2026-05-18T12:26:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2011:SAEVN5PTO4C6EKGI7UABW3ZCLA","target":"record","payload":{"canonical_record":{"source":{"id":"1112.1556","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2011-12-07T13:34:25Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"aa5a97e044dc05d66285c9bddadddf8e680e8fb9d3c172642c42a64646801921","abstract_canon_sha256":"a5fd134dda1090a63f8f186b31ce9c1044d73b965407c39e7e4fcbb9eb52b4ec"},"schema_version":"1.0"},"canonical_sha256":"900956f5f37705e228c8fd001b6f225811fb5126cf39bc883ea56c0675526322","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:21:27.506188Z","signature_b64":"VfFXP7z3NuL1tYr/H03WsbQ1za5ESxWHd0dKRgyLPOr0QPc5XPLMYhd4L9tO95lZQmAdLxDFHWnU9ZkXEDSsBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"900956f5f37705e228c8fd001b6f225811fb5126cf39bc883ea56c0675526322","last_reissued_at":"2026-05-18T02:21:27.505408Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:21:27.505408Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1112.1556","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:21:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HyQHGPzHmlxvx7o74Hf9wdccQ1ahi4phwTrihc2ud3ZezT+GCHRoXN0wCb/R92JlbQid3i+KbT4v/xgg41lNDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T17:03:10.188508Z"},"content_sha256":"3ce4e92afc07e00f96cf4978b643dcb43972295ec23bbd8665c06dd3a4744e34","schema_version":"1.0","event_id":"sha256:3ce4e92afc07e00f96cf4978b643dcb43972295ec23bbd8665c06dd3a4744e34"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2011:SAEVN5PTO4C6EKGI7UABW3ZCLA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Active Learning of Halfspaces under a Margin Assumption","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Alon Gonen, Shai Shalev-Shwartz, Sivan Sabato","submitted_at":"2011-12-07T13:34:25Z","abstract_excerpt":"We derive and analyze a new, efficient, pool-based active learning algorithm for halfspaces, called ALuMA. Most previous algorithms show exponential improvement in the label complexity assuming that the distribution over the instance space is close to uniform. This assumption rarely holds in practical applications. Instead, we study the label complexity under a large-margin assumption -- a much more realistic condition, as evident by the success of margin-based algorithms such as SVM. Our algorithm is computationally efficient and comes with formal guarantees on its label complexity. It also n"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1112.1556","kind":"arxiv","version":3},"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":"2026-05-18T02:21:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y3yl4aYETbgzm4WY+Li8xTEcJbX66cPEmDzNjg6+iJCEvCIsKqRjNzB3FQaQ+aEMYJP8ysI1xKm6ejopeLtSBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T17:03:10.189127Z"},"content_sha256":"b8c507327147b076425ba55b140c1229825d83fb103d69534aa7581113e61ba9","schema_version":"1.0","event_id":"sha256:b8c507327147b076425ba55b140c1229825d83fb103d69534aa7581113e61ba9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SAEVN5PTO4C6EKGI7UABW3ZCLA/bundle.json","state_url":"https://pith.science/pith/SAEVN5PTO4C6EKGI7UABW3ZCLA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SAEVN5PTO4C6EKGI7UABW3ZCLA/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":"2026-05-26T17:03:10Z","links":{"resolver":"https://pith.science/pith/SAEVN5PTO4C6EKGI7UABW3ZCLA","bundle":"https://pith.science/pith/SAEVN5PTO4C6EKGI7UABW3ZCLA/bundle.json","state":"https://pith.science/pith/SAEVN5PTO4C6EKGI7UABW3ZCLA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SAEVN5PTO4C6EKGI7UABW3ZCLA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:SAEVN5PTO4C6EKGI7UABW3ZCLA","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":"a5fd134dda1090a63f8f186b31ce9c1044d73b965407c39e7e4fcbb9eb52b4ec","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2011-12-07T13:34:25Z","title_canon_sha256":"aa5a97e044dc05d66285c9bddadddf8e680e8fb9d3c172642c42a64646801921"},"schema_version":"1.0","source":{"id":"1112.1556","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1112.1556","created_at":"2026-05-18T02:21:27Z"},{"alias_kind":"arxiv_version","alias_value":"1112.1556v3","created_at":"2026-05-18T02:21:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1112.1556","created_at":"2026-05-18T02:21:27Z"},{"alias_kind":"pith_short_12","alias_value":"SAEVN5PTO4C6","created_at":"2026-05-18T12:26:41Z"},{"alias_kind":"pith_short_16","alias_value":"SAEVN5PTO4C6EKGI","created_at":"2026-05-18T12:26:41Z"},{"alias_kind":"pith_short_8","alias_value":"SAEVN5PT","created_at":"2026-05-18T12:26:41Z"}],"graph_snapshots":[{"event_id":"sha256:b8c507327147b076425ba55b140c1229825d83fb103d69534aa7581113e61ba9","target":"graph","created_at":"2026-05-18T02:21:27Z","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":"We derive and analyze a new, efficient, pool-based active learning algorithm for halfspaces, called ALuMA. Most previous algorithms show exponential improvement in the label complexity assuming that the distribution over the instance space is close to uniform. This assumption rarely holds in practical applications. Instead, we study the label complexity under a large-margin assumption -- a much more realistic condition, as evident by the success of margin-based algorithms such as SVM. Our algorithm is computationally efficient and comes with formal guarantees on its label complexity. It also n","authors_text":"Alon Gonen, Shai Shalev-Shwartz, Sivan Sabato","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2011-12-07T13:34:25Z","title":"Active Learning of Halfspaces under a Margin Assumption"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1112.1556","kind":"arxiv","version":3},"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":"sha256:3ce4e92afc07e00f96cf4978b643dcb43972295ec23bbd8665c06dd3a4744e34","target":"record","created_at":"2026-05-18T02:21:27Z","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":"a5fd134dda1090a63f8f186b31ce9c1044d73b965407c39e7e4fcbb9eb52b4ec","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2011-12-07T13:34:25Z","title_canon_sha256":"aa5a97e044dc05d66285c9bddadddf8e680e8fb9d3c172642c42a64646801921"},"schema_version":"1.0","source":{"id":"1112.1556","kind":"arxiv","version":3}},"canonical_sha256":"900956f5f37705e228c8fd001b6f225811fb5126cf39bc883ea56c0675526322","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"900956f5f37705e228c8fd001b6f225811fb5126cf39bc883ea56c0675526322","first_computed_at":"2026-05-18T02:21:27.505408Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:21:27.505408Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VfFXP7z3NuL1tYr/H03WsbQ1za5ESxWHd0dKRgyLPOr0QPc5XPLMYhd4L9tO95lZQmAdLxDFHWnU9ZkXEDSsBA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:21:27.506188Z","signed_message":"canonical_sha256_bytes"},"source_id":"1112.1556","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3ce4e92afc07e00f96cf4978b643dcb43972295ec23bbd8665c06dd3a4744e34","sha256:b8c507327147b076425ba55b140c1229825d83fb103d69534aa7581113e61ba9"],"state_sha256":"336a64b40dceb25adad274e9e2e3b6b4d2e4d336338973cfd521804a5a00d693"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X5rjd7vaVLQWy9kQcqyg3bl5cmLR3zHIP7TjKa2eoqLr6gAl20UM44ejvHGAjLBH9s8q5ueKKQibgkMAk1wbBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T17:03:10.192378Z","bundle_sha256":"57e982cd7ce0621fc15d48e9a419ee2712a39edbfb998988a5edf3fc0e094ee6"}}