{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:GVXO5SF2F252IXSQYOQLPXC6BK","short_pith_number":"pith:GVXO5SF2","canonical_record":{"source":{"id":"2006.04787","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-08T17:59:11Z","cross_cats_sorted":["cs.DS","math.ST","stat.ML","stat.TH"],"title_canon_sha256":"0010041f67815fda45b2a0b97ae8acec116fb75ae07902d1a00d6dc66c651ba8","abstract_canon_sha256":"cd8664b1f6ed667e375a4fe4f920243381a3e4d4d200089f75b4e798eecf0cec"},"schema_version":"1.0"},"canonical_sha256":"356eeec8ba2ebba45e50c3a0b7dc5e0a8437449e1f029647f9c706e4f01bd545","source":{"kind":"arxiv","id":"2006.04787","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.04787","created_at":"2026-07-05T06:52:18Z"},{"alias_kind":"arxiv_version","alias_value":"2006.04787v2","created_at":"2026-07-05T06:52:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.04787","created_at":"2026-07-05T06:52:18Z"},{"alias_kind":"pith_short_12","alias_value":"GVXO5SF2F252","created_at":"2026-07-05T06:52:18Z"},{"alias_kind":"pith_short_16","alias_value":"GVXO5SF2F252IXSQ","created_at":"2026-07-05T06:52:18Z"},{"alias_kind":"pith_short_8","alias_value":"GVXO5SF2","created_at":"2026-07-05T06:52:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:GVXO5SF2F252IXSQYOQLPXC6BK","target":"record","payload":{"canonical_record":{"source":{"id":"2006.04787","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-08T17:59:11Z","cross_cats_sorted":["cs.DS","math.ST","stat.ML","stat.TH"],"title_canon_sha256":"0010041f67815fda45b2a0b97ae8acec116fb75ae07902d1a00d6dc66c651ba8","abstract_canon_sha256":"cd8664b1f6ed667e375a4fe4f920243381a3e4d4d200089f75b4e798eecf0cec"},"schema_version":"1.0"},"canonical_sha256":"356eeec8ba2ebba45e50c3a0b7dc5e0a8437449e1f029647f9c706e4f01bd545","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:52:18.168964Z","signature_b64":"eeXW5775qDrpXPvQ6gqT6rfA57GncfNN2c+iVX7jwvO/u+GE/GAeXWBYi4ojuRRGW/QXTrgxj+pAGMXPwpMTCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"356eeec8ba2ebba45e50c3a0b7dc5e0a8437449e1f029647f9c706e4f01bd545","last_reissued_at":"2026-07-05T06:52:18.168501Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:52:18.168501Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.04787","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:52:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kr9M8POJ0/G2LnQ3bBWt4Bnr1DgIxZppuxsf1nq3sagVgfoh//UYokM9uN+svJuztKZLzAobvMk1nTya6fwdAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:51:36.131000Z"},"content_sha256":"b4223df4adb7f0a5bf64a219b4707532bb2293aa9ce03ff17343b3e05bf32139","schema_version":"1.0","event_id":"sha256:b4223df4adb7f0a5bf64a219b4707532bb2293aa9ce03ff17343b3e05bf32139"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:GVXO5SF2F252IXSQYOQLPXC6BK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DS","math.ST","stat.ML","stat.TH"],"primary_cat":"cs.LG","authors_text":"Ankur Moitra, Frederic Koehler, Morris Yau, Sitan Chen","submitted_at":"2020-06-08T17:59:11Z","abstract_excerpt":"In this paper we revisit some classic problems on classification under misspecification. In particular, we study the problem of learning halfspaces under Massart noise with rate $\\eta$. In a recent work, Diakonikolas, Goulekakis, and Tzamos resolved a long-standing problem by giving the first efficient algorithm for learning to accuracy $\\eta + \\epsilon$ for any $\\epsilon > 0$. However, their algorithm outputs a complicated hypothesis, which partitions space into $\\text{poly}(d,1/\\epsilon)$ regions. Here we give a much simpler algorithm and in the process resolve a number of outstanding open q"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.04787","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2006.04787/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T06:52:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rs3ORY2s+B10WDU8avlL0QBz3rD+FDd1/anqU0Z/M66uNDy3xYYEgSI3umZhN2Y7lkKMyENh38QnQQLFQ3i3CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:51:36.131836Z"},"content_sha256":"ca11c3c645aa3e470dd69a24c2b35b7d7cb72dbabf0bf233f808b8a6e756db2d","schema_version":"1.0","event_id":"sha256:ca11c3c645aa3e470dd69a24c2b35b7d7cb72dbabf0bf233f808b8a6e756db2d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GVXO5SF2F252IXSQYOQLPXC6BK/bundle.json","state_url":"https://pith.science/pith/GVXO5SF2F252IXSQYOQLPXC6BK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GVXO5SF2F252IXSQYOQLPXC6BK/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":"2026-08-08T16:51:36Z","links":{"resolver":"https://pith.science/pith/GVXO5SF2F252IXSQYOQLPXC6BK","bundle":"https://pith.science/pith/GVXO5SF2F252IXSQYOQLPXC6BK/bundle.json","state":"https://pith.science/pith/GVXO5SF2F252IXSQYOQLPXC6BK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GVXO5SF2F252IXSQYOQLPXC6BK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:GVXO5SF2F252IXSQYOQLPXC6BK","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":"cd8664b1f6ed667e375a4fe4f920243381a3e4d4d200089f75b4e798eecf0cec","cross_cats_sorted":["cs.DS","math.ST","stat.ML","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-08T17:59:11Z","title_canon_sha256":"0010041f67815fda45b2a0b97ae8acec116fb75ae07902d1a00d6dc66c651ba8"},"schema_version":"1.0","source":{"id":"2006.04787","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.04787","created_at":"2026-07-05T06:52:18Z"},{"alias_kind":"arxiv_version","alias_value":"2006.04787v2","created_at":"2026-07-05T06:52:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.04787","created_at":"2026-07-05T06:52:18Z"},{"alias_kind":"pith_short_12","alias_value":"GVXO5SF2F252","created_at":"2026-07-05T06:52:18Z"},{"alias_kind":"pith_short_16","alias_value":"GVXO5SF2F252IXSQ","created_at":"2026-07-05T06:52:18Z"},{"alias_kind":"pith_short_8","alias_value":"GVXO5SF2","created_at":"2026-07-05T06:52:18Z"}],"graph_snapshots":[{"event_id":"sha256:ca11c3c645aa3e470dd69a24c2b35b7d7cb72dbabf0bf233f808b8a6e756db2d","target":"graph","created_at":"2026-07-05T06:52:18Z","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/2006.04787/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper we revisit some classic problems on classification under misspecification. In particular, we study the problem of learning halfspaces under Massart noise with rate $\\eta$. In a recent work, Diakonikolas, Goulekakis, and Tzamos resolved a long-standing problem by giving the first efficient algorithm for learning to accuracy $\\eta + \\epsilon$ for any $\\epsilon > 0$. However, their algorithm outputs a complicated hypothesis, which partitions space into $\\text{poly}(d,1/\\epsilon)$ regions. Here we give a much simpler algorithm and in the process resolve a number of outstanding open q","authors_text":"Ankur Moitra, Frederic Koehler, Morris Yau, Sitan Chen","cross_cats":["cs.DS","math.ST","stat.ML","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-08T17:59:11Z","title":"Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.04787","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:b4223df4adb7f0a5bf64a219b4707532bb2293aa9ce03ff17343b3e05bf32139","target":"record","created_at":"2026-07-05T06:52:18Z","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":"cd8664b1f6ed667e375a4fe4f920243381a3e4d4d200089f75b4e798eecf0cec","cross_cats_sorted":["cs.DS","math.ST","stat.ML","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-08T17:59:11Z","title_canon_sha256":"0010041f67815fda45b2a0b97ae8acec116fb75ae07902d1a00d6dc66c651ba8"},"schema_version":"1.0","source":{"id":"2006.04787","kind":"arxiv","version":2}},"canonical_sha256":"356eeec8ba2ebba45e50c3a0b7dc5e0a8437449e1f029647f9c706e4f01bd545","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"356eeec8ba2ebba45e50c3a0b7dc5e0a8437449e1f029647f9c706e4f01bd545","first_computed_at":"2026-07-05T06:52:18.168501Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:52:18.168501Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eeXW5775qDrpXPvQ6gqT6rfA57GncfNN2c+iVX7jwvO/u+GE/GAeXWBYi4ojuRRGW/QXTrgxj+pAGMXPwpMTCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:52:18.168964Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.04787","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b4223df4adb7f0a5bf64a219b4707532bb2293aa9ce03ff17343b3e05bf32139","sha256:ca11c3c645aa3e470dd69a24c2b35b7d7cb72dbabf0bf233f808b8a6e756db2d"],"state_sha256":"6ccc0161e721c9638fff9700ebab952d29a36c3c65f2193c07a3317e8934c1d6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3T3RGqspQ6DVM/TiOLHJ74VDkEo9C5aXAidlj+u8JZjBn+J13u2RNBmp+/VUBrCHrMqwb9FxlakN69UPV8KXCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T16:51:36.137536Z","bundle_sha256":"3c9ee50f835d6b9a2f11d1bfd80364ee6b9d17d28c430d4cfd9eaef06d11cb77"}}