{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:6DBFN7JAS7SOSLDEDVJKLFCQZA","short_pith_number":"pith:6DBFN7JA","canonical_record":{"source":{"id":"1703.05841","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-03-16T22:37:55Z","cross_cats_sorted":[],"title_canon_sha256":"daf4f39be201cef8aec12defa65617d669b532e24a86676f24b798b2f15cfdda","abstract_canon_sha256":"f40879aa6897e428da33f256d20d76c5761667a0b315cbc252279c9980bb5de4"},"schema_version":"1.0"},"canonical_sha256":"f0c256fd2097e4e92c641d52a59450c83d0fb06ef174b483ebb78d479d95602a","source":{"kind":"arxiv","id":"1703.05841","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.05841","created_at":"2026-05-18T00:48:31Z"},{"alias_kind":"arxiv_version","alias_value":"1703.05841v1","created_at":"2026-05-18T00:48:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.05841","created_at":"2026-05-18T00:48:31Z"},{"alias_kind":"pith_short_12","alias_value":"6DBFN7JAS7SO","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6DBFN7JAS7SOSLDE","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6DBFN7JA","created_at":"2026-05-18T12:31:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:6DBFN7JAS7SOSLDEDVJKLFCQZA","target":"record","payload":{"canonical_record":{"source":{"id":"1703.05841","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-03-16T22:37:55Z","cross_cats_sorted":[],"title_canon_sha256":"daf4f39be201cef8aec12defa65617d669b532e24a86676f24b798b2f15cfdda","abstract_canon_sha256":"f40879aa6897e428da33f256d20d76c5761667a0b315cbc252279c9980bb5de4"},"schema_version":"1.0"},"canonical_sha256":"f0c256fd2097e4e92c641d52a59450c83d0fb06ef174b483ebb78d479d95602a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:48:31.990668Z","signature_b64":"Yvucb/hNSBpkxxDgXL5aEA3KEOz1WML4MJ/GORbFdQch0xSiFs/4T0IbwEyf+fn/u64reoySgFETPULpjdTLAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f0c256fd2097e4e92c641d52a59450c83d0fb06ef174b483ebb78d479d95602a","last_reissued_at":"2026-05-18T00:48:31.990264Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:48:31.990264Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.05841","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":"2026-05-18T00:48:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yHlcxUY+mfeB7NsFnGIkZi7JcWCX1akXroUMiq88E/sEYdKM8uAICpUavcSJsWUGRJXx0jDBzhSQM/+5gzDcBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T15:19:38.668892Z"},"content_sha256":"0126f57b08a378aefbc5ea46ba9060548540fe3d664baf7769ee29473730db0d","schema_version":"1.0","event_id":"sha256:0126f57b08a378aefbc5ea46ba9060548540fe3d664baf7769ee29473730db0d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:6DBFN7JAS7SOSLDEDVJKLFCQZA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adaptivity to Noise Parameters in Nonparametric Active Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Alexandra Carpentier, Andrea Locatelli, Samory Kpotufe","submitted_at":"2017-03-16T22:37:55Z","abstract_excerpt":"This work addresses various open questions in the theory of active learning for nonparametric classification. Our contributions are both statistical and algorithmic: -We establish new minimax-rates for active learning under common \\textit{noise conditions}. These rates display interesting transitions -- due to the interaction between noise \\textit{smoothness and margin} -- not present in the passive setting. Some such transitions were previously conjectured, but remained unconfirmed. -We present a generic algorithmic strategy for adaptivity to unknown noise smoothness and margin; our strategy "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.05841","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":"2026-05-18T00:48:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jr3vbkJ1g+Pb5f6jPa+HLeGJDbUNu2LXDTf3d9yuWex4xmyUObnvkd3DXXdNKbU9Cgw3gv1SdzJP9Lp8N4/ECg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T15:19:38.669261Z"},"content_sha256":"0572e4b4152e225d64b6460cd875f6fcf2487da3b730ac7ac33360e5ce51a0a3","schema_version":"1.0","event_id":"sha256:0572e4b4152e225d64b6460cd875f6fcf2487da3b730ac7ac33360e5ce51a0a3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6DBFN7JAS7SOSLDEDVJKLFCQZA/bundle.json","state_url":"https://pith.science/pith/6DBFN7JAS7SOSLDEDVJKLFCQZA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6DBFN7JAS7SOSLDEDVJKLFCQZA/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":"2026-06-01T15:19:38Z","links":{"resolver":"https://pith.science/pith/6DBFN7JAS7SOSLDEDVJKLFCQZA","bundle":"https://pith.science/pith/6DBFN7JAS7SOSLDEDVJKLFCQZA/bundle.json","state":"https://pith.science/pith/6DBFN7JAS7SOSLDEDVJKLFCQZA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6DBFN7JAS7SOSLDEDVJKLFCQZA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:6DBFN7JAS7SOSLDEDVJKLFCQZA","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":"f40879aa6897e428da33f256d20d76c5761667a0b315cbc252279c9980bb5de4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-03-16T22:37:55Z","title_canon_sha256":"daf4f39be201cef8aec12defa65617d669b532e24a86676f24b798b2f15cfdda"},"schema_version":"1.0","source":{"id":"1703.05841","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.05841","created_at":"2026-05-18T00:48:31Z"},{"alias_kind":"arxiv_version","alias_value":"1703.05841v1","created_at":"2026-05-18T00:48:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.05841","created_at":"2026-05-18T00:48:31Z"},{"alias_kind":"pith_short_12","alias_value":"6DBFN7JAS7SO","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6DBFN7JAS7SOSLDE","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6DBFN7JA","created_at":"2026-05-18T12:31:03Z"}],"graph_snapshots":[{"event_id":"sha256:0572e4b4152e225d64b6460cd875f6fcf2487da3b730ac7ac33360e5ce51a0a3","target":"graph","created_at":"2026-05-18T00:48:31Z","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":"This work addresses various open questions in the theory of active learning for nonparametric classification. Our contributions are both statistical and algorithmic: -We establish new minimax-rates for active learning under common \\textit{noise conditions}. These rates display interesting transitions -- due to the interaction between noise \\textit{smoothness and margin} -- not present in the passive setting. Some such transitions were previously conjectured, but remained unconfirmed. -We present a generic algorithmic strategy for adaptivity to unknown noise smoothness and margin; our strategy ","authors_text":"Alexandra Carpentier, Andrea Locatelli, Samory Kpotufe","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-03-16T22:37:55Z","title":"Adaptivity to Noise Parameters in Nonparametric Active Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.05841","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":"sha256:0126f57b08a378aefbc5ea46ba9060548540fe3d664baf7769ee29473730db0d","target":"record","created_at":"2026-05-18T00:48:31Z","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":"f40879aa6897e428da33f256d20d76c5761667a0b315cbc252279c9980bb5de4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-03-16T22:37:55Z","title_canon_sha256":"daf4f39be201cef8aec12defa65617d669b532e24a86676f24b798b2f15cfdda"},"schema_version":"1.0","source":{"id":"1703.05841","kind":"arxiv","version":1}},"canonical_sha256":"f0c256fd2097e4e92c641d52a59450c83d0fb06ef174b483ebb78d479d95602a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f0c256fd2097e4e92c641d52a59450c83d0fb06ef174b483ebb78d479d95602a","first_computed_at":"2026-05-18T00:48:31.990264Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:48:31.990264Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Yvucb/hNSBpkxxDgXL5aEA3KEOz1WML4MJ/GORbFdQch0xSiFs/4T0IbwEyf+fn/u64reoySgFETPULpjdTLAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:48:31.990668Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.05841","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0126f57b08a378aefbc5ea46ba9060548540fe3d664baf7769ee29473730db0d","sha256:0572e4b4152e225d64b6460cd875f6fcf2487da3b730ac7ac33360e5ce51a0a3"],"state_sha256":"35737778f64c9f3d030d6535f212a32f1fd618552405d923a2eae4d0773f1211"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EnBOYrAwazl4QSxq6C04ivQRoNdUTLw018GqpYfyxEcWyphfk4X9p+C9HFl97WDEjOT4espWRfxE+fs5dkjRAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T15:19:38.672081Z","bundle_sha256":"b53212ddac5b7fed890a3efcb6a397d6547ce531831f7e453dcd1a8ebff57295"}}