{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XNAJ2O3HDMFWC3IVAYS3HDFQAF","short_pith_number":"pith:XNAJ2O3H","canonical_record":{"source":{"id":"2502.00172","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-31T21:29:20Z","cross_cats_sorted":["cs.CC","stat.ML"],"title_canon_sha256":"0770ea3a793c5ebafcc7055290e79c16fcfb99fad888dd3a196de2aaf84de5e8","abstract_canon_sha256":"a5488380ddfc76a3b94d9dcc85dd732c8005bf8e5ce83a70013fa6b759234ed9"},"schema_version":"1.0"},"canonical_sha256":"bb409d3b671b0b616d150625b38cb00143d5c584950d92749ec1761ebf2a8133","source":{"kind":"arxiv","id":"2502.00172","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.00172","created_at":"2026-07-05T10:08:30Z"},{"alias_kind":"arxiv_version","alias_value":"2502.00172v1","created_at":"2026-07-05T10:08:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.00172","created_at":"2026-07-05T10:08:30Z"},{"alias_kind":"pith_short_12","alias_value":"XNAJ2O3HDMFW","created_at":"2026-07-05T10:08:30Z"},{"alias_kind":"pith_short_16","alias_value":"XNAJ2O3HDMFWC3IV","created_at":"2026-07-05T10:08:30Z"},{"alias_kind":"pith_short_8","alias_value":"XNAJ2O3H","created_at":"2026-07-05T10:08:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XNAJ2O3HDMFWC3IVAYS3HDFQAF","target":"record","payload":{"canonical_record":{"source":{"id":"2502.00172","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-31T21:29:20Z","cross_cats_sorted":["cs.CC","stat.ML"],"title_canon_sha256":"0770ea3a793c5ebafcc7055290e79c16fcfb99fad888dd3a196de2aaf84de5e8","abstract_canon_sha256":"a5488380ddfc76a3b94d9dcc85dd732c8005bf8e5ce83a70013fa6b759234ed9"},"schema_version":"1.0"},"canonical_sha256":"bb409d3b671b0b616d150625b38cb00143d5c584950d92749ec1761ebf2a8133","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:08:30.169864Z","signature_b64":"IMyDzw6DOriQ2jcmDJCpBM791JDxwKSU/IAn6p7OBSFOG3Z137JfElCQhhw7eNiZk67JB4FI7ulMuD0hhmiNCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bb409d3b671b0b616d150625b38cb00143d5c584950d92749ec1761ebf2a8133","last_reissued_at":"2026-07-05T10:08:30.169389Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:08:30.169389Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.00172","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":"2026-07-05T10:08:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sCwoiHhEkoP0gvojqIoyGTbxOLMiXJibteJN9yW0v9mkm+soxeBdKL+phc5ZuNk4DsATQkNmPegw6VycHAISCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T09:32:32.446596Z"},"content_sha256":"ff3195967178be2f2374011abc427afc0f7b9dd8b4ea8a30b85376824f29f23d","schema_version":"1.0","event_id":"sha256:ff3195967178be2f2374011abc427afc0f7b9dd8b4ea8a30b85376824f29f23d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XNAJ2O3HDMFWC3IVAYS3HDFQAF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Distribution-Specific Agnostic Conditional Classification With Halfspaces","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CC","stat.ML"],"primary_cat":"cs.LG","authors_text":"Brendan Juba, Jizhou Huang","submitted_at":"2025-01-31T21:29:20Z","abstract_excerpt":"We study ``selective'' or ``conditional'' classification problems under an agnostic setting. Classification tasks commonly focus on modeling the relationship between features and categories that captures the vast majority of data. In contrast to common machine learning frameworks, conditional classification intends to model such relationships only on a subset of the data defined by some selection rule. Most work on conditional classification either solves the problem in a realizable setting or does not guarantee the error is bounded compared to an optimal solution. In this work, we consider se"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.00172","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2502.00172/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":"2026-07-05T10:08:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3XJanHKYSjgIqQU31g9vqLFLFrrDJCghlwUuvWiBS8OGTz52IBPdPl4OiDs6+wYmDYWdFMkOKlSjMsaVKx8XDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T09:32:32.447097Z"},"content_sha256":"141cd47fdbe783231dd65a2f3e255f1b189870d5682529978392886136c2bfdc","schema_version":"1.0","event_id":"sha256:141cd47fdbe783231dd65a2f3e255f1b189870d5682529978392886136c2bfdc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XNAJ2O3HDMFWC3IVAYS3HDFQAF/bundle.json","state_url":"https://pith.science/pith/XNAJ2O3HDMFWC3IVAYS3HDFQAF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XNAJ2O3HDMFWC3IVAYS3HDFQAF/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":"2026-08-21T09:32:32Z","links":{"resolver":"https://pith.science/pith/XNAJ2O3HDMFWC3IVAYS3HDFQAF","bundle":"https://pith.science/pith/XNAJ2O3HDMFWC3IVAYS3HDFQAF/bundle.json","state":"https://pith.science/pith/XNAJ2O3HDMFWC3IVAYS3HDFQAF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XNAJ2O3HDMFWC3IVAYS3HDFQAF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XNAJ2O3HDMFWC3IVAYS3HDFQAF","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":"a5488380ddfc76a3b94d9dcc85dd732c8005bf8e5ce83a70013fa6b759234ed9","cross_cats_sorted":["cs.CC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-31T21:29:20Z","title_canon_sha256":"0770ea3a793c5ebafcc7055290e79c16fcfb99fad888dd3a196de2aaf84de5e8"},"schema_version":"1.0","source":{"id":"2502.00172","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.00172","created_at":"2026-07-05T10:08:30Z"},{"alias_kind":"arxiv_version","alias_value":"2502.00172v1","created_at":"2026-07-05T10:08:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.00172","created_at":"2026-07-05T10:08:30Z"},{"alias_kind":"pith_short_12","alias_value":"XNAJ2O3HDMFW","created_at":"2026-07-05T10:08:30Z"},{"alias_kind":"pith_short_16","alias_value":"XNAJ2O3HDMFWC3IV","created_at":"2026-07-05T10:08:30Z"},{"alias_kind":"pith_short_8","alias_value":"XNAJ2O3H","created_at":"2026-07-05T10:08:30Z"}],"graph_snapshots":[{"event_id":"sha256:141cd47fdbe783231dd65a2f3e255f1b189870d5682529978392886136c2bfdc","target":"graph","created_at":"2026-07-05T10:08:30Z","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/2502.00172/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study ``selective'' or ``conditional'' classification problems under an agnostic setting. Classification tasks commonly focus on modeling the relationship between features and categories that captures the vast majority of data. In contrast to common machine learning frameworks, conditional classification intends to model such relationships only on a subset of the data defined by some selection rule. Most work on conditional classification either solves the problem in a realizable setting or does not guarantee the error is bounded compared to an optimal solution. In this work, we consider se","authors_text":"Brendan Juba, Jizhou Huang","cross_cats":["cs.CC","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-31T21:29:20Z","title":"Distribution-Specific Agnostic Conditional Classification With Halfspaces"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.00172","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:ff3195967178be2f2374011abc427afc0f7b9dd8b4ea8a30b85376824f29f23d","target":"record","created_at":"2026-07-05T10:08:30Z","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":"a5488380ddfc76a3b94d9dcc85dd732c8005bf8e5ce83a70013fa6b759234ed9","cross_cats_sorted":["cs.CC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-31T21:29:20Z","title_canon_sha256":"0770ea3a793c5ebafcc7055290e79c16fcfb99fad888dd3a196de2aaf84de5e8"},"schema_version":"1.0","source":{"id":"2502.00172","kind":"arxiv","version":1}},"canonical_sha256":"bb409d3b671b0b616d150625b38cb00143d5c584950d92749ec1761ebf2a8133","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bb409d3b671b0b616d150625b38cb00143d5c584950d92749ec1761ebf2a8133","first_computed_at":"2026-07-05T10:08:30.169389Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:08:30.169389Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IMyDzw6DOriQ2jcmDJCpBM791JDxwKSU/IAn6p7OBSFOG3Z137JfElCQhhw7eNiZk67JB4FI7ulMuD0hhmiNCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:08:30.169864Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.00172","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff3195967178be2f2374011abc427afc0f7b9dd8b4ea8a30b85376824f29f23d","sha256:141cd47fdbe783231dd65a2f3e255f1b189870d5682529978392886136c2bfdc"],"state_sha256":"98e31d45bf59aa57977127f10335077d8e4392b9fe3bbf321e9b9428ed254d5d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lPHtfB1p32pFD6dHaJIXYOGJ1loWev7om3qrhxwTaoHTex119H5c7LsX1mkQEIi5K1L2VnZrBBH/fdXbyYdZCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T09:32:32.451710Z","bundle_sha256":"530eeb028023e5ba79135f9b4c21c3a84fd0b42b9177dcdb67047673dcbd8f09"}}