{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:FTGS5QWXJPAB5BIWMRRT2VWWPJ","short_pith_number":"pith:FTGS5QWX","canonical_record":{"source":{"id":"2306.10615","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-18T18:40:07Z","cross_cats_sorted":["cs.DS","stat.ML"],"title_canon_sha256":"6ef4d4856112a7253e173d1bf55409c3fdf58ed09af5c19c7c0f25f806aaf8fd","abstract_canon_sha256":"6c09a715596b875783b4a11c29f077b02d73a28e6cafeb6e07941c9215bbc4a3"},"schema_version":"1.0"},"canonical_sha256":"2ccd2ec2d74bc01e851664633d56d67a53effa4a85c0c3c2e3ae307cf48bd759","source":{"kind":"arxiv","id":"2306.10615","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.10615","created_at":"2026-07-05T06:22:09Z"},{"alias_kind":"arxiv_version","alias_value":"2306.10615v1","created_at":"2026-07-05T06:22:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.10615","created_at":"2026-07-05T06:22:09Z"},{"alias_kind":"pith_short_12","alias_value":"FTGS5QWXJPAB","created_at":"2026-07-05T06:22:09Z"},{"alias_kind":"pith_short_16","alias_value":"FTGS5QWXJPAB5BIW","created_at":"2026-07-05T06:22:09Z"},{"alias_kind":"pith_short_8","alias_value":"FTGS5QWX","created_at":"2026-07-05T06:22:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:FTGS5QWXJPAB5BIWMRRT2VWWPJ","target":"record","payload":{"canonical_record":{"source":{"id":"2306.10615","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-18T18:40:07Z","cross_cats_sorted":["cs.DS","stat.ML"],"title_canon_sha256":"6ef4d4856112a7253e173d1bf55409c3fdf58ed09af5c19c7c0f25f806aaf8fd","abstract_canon_sha256":"6c09a715596b875783b4a11c29f077b02d73a28e6cafeb6e07941c9215bbc4a3"},"schema_version":"1.0"},"canonical_sha256":"2ccd2ec2d74bc01e851664633d56d67a53effa4a85c0c3c2e3ae307cf48bd759","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:22:09.164921Z","signature_b64":"JuQCR/vygDR8deoxtArfW3SGH9SHY+SV0xzcJK3/uTaCfgVng3eIFJQyaRgT4yYIxFmklT3GpoMiilONi0EQDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ccd2ec2d74bc01e851664633d56d67a53effa4a85c0c3c2e3ae307cf48bd759","last_reissued_at":"2026-07-05T06:22:09.164476Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:22:09.164476Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.10615","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":"2026-07-05T06:22:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iVBvmmIgrglkG0GzPLd7xd9myeRRcI7rjNJYYIQssok7MzNMDpEaAg7PNeDm0wo/MthfICfchZEjB2Daq7QWBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T19:19:36.000058Z"},"content_sha256":"48ade8b9bd4fa46e0f32760638cafa566da3330a0eb68f152b8981dd6f91656d","schema_version":"1.0","event_id":"sha256:48ade8b9bd4fa46e0f32760638cafa566da3330a0eb68f152b8981dd6f91656d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:FTGS5QWXJPAB5BIWMRRT2VWWPJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Agnostically Learning Single-Index Models using Omnipredictors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DS","stat.ML"],"primary_cat":"cs.LG","authors_text":"Adam R. Klivans, Aravind Gollakota, Konstantinos Stavropoulos, Parikshit Gopalan","submitted_at":"2023-06-18T18:40:07Z","abstract_excerpt":"We give the first result for agnostically learning Single-Index Models (SIMs) with arbitrary monotone and Lipschitz activations. All prior work either held only in the realizable setting or required the activation to be known. Moreover, we only require the marginal to have bounded second moments, whereas all prior work required stronger distributional assumptions (such as anticoncentration or boundedness). Our algorithm is based on recent work by [GHK$^+$23] on omniprediction using predictors satisfying calibrated multiaccuracy. Our analysis is simple and relies on the relationship between Bre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.10615","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/2306.10615/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":"2026-07-05T06:22:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uXw6W9xF3feIE+6uNr8MmnpfVEJ+KYmD6EZ5+Un5VotPJNygo8L441Tw6jMi1S1Aowk2oPxF30ZBj7AIbiFfDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T19:19:36.002634Z"},"content_sha256":"fd57e8f8077b0561db6a5f53b19d9c93959a290d65461a91f8ae7bebd81868fc","schema_version":"1.0","event_id":"sha256:fd57e8f8077b0561db6a5f53b19d9c93959a290d65461a91f8ae7bebd81868fc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FTGS5QWXJPAB5BIWMRRT2VWWPJ/bundle.json","state_url":"https://pith.science/pith/FTGS5QWXJPAB5BIWMRRT2VWWPJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FTGS5QWXJPAB5BIWMRRT2VWWPJ/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":"2026-08-14T19:19:36Z","links":{"resolver":"https://pith.science/pith/FTGS5QWXJPAB5BIWMRRT2VWWPJ","bundle":"https://pith.science/pith/FTGS5QWXJPAB5BIWMRRT2VWWPJ/bundle.json","state":"https://pith.science/pith/FTGS5QWXJPAB5BIWMRRT2VWWPJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FTGS5QWXJPAB5BIWMRRT2VWWPJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FTGS5QWXJPAB5BIWMRRT2VWWPJ","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":"6c09a715596b875783b4a11c29f077b02d73a28e6cafeb6e07941c9215bbc4a3","cross_cats_sorted":["cs.DS","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-18T18:40:07Z","title_canon_sha256":"6ef4d4856112a7253e173d1bf55409c3fdf58ed09af5c19c7c0f25f806aaf8fd"},"schema_version":"1.0","source":{"id":"2306.10615","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.10615","created_at":"2026-07-05T06:22:09Z"},{"alias_kind":"arxiv_version","alias_value":"2306.10615v1","created_at":"2026-07-05T06:22:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.10615","created_at":"2026-07-05T06:22:09Z"},{"alias_kind":"pith_short_12","alias_value":"FTGS5QWXJPAB","created_at":"2026-07-05T06:22:09Z"},{"alias_kind":"pith_short_16","alias_value":"FTGS5QWXJPAB5BIW","created_at":"2026-07-05T06:22:09Z"},{"alias_kind":"pith_short_8","alias_value":"FTGS5QWX","created_at":"2026-07-05T06:22:09Z"}],"graph_snapshots":[{"event_id":"sha256:fd57e8f8077b0561db6a5f53b19d9c93959a290d65461a91f8ae7bebd81868fc","target":"graph","created_at":"2026-07-05T06:22:09Z","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/2306.10615/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We give the first result for agnostically learning Single-Index Models (SIMs) with arbitrary monotone and Lipschitz activations. All prior work either held only in the realizable setting or required the activation to be known. Moreover, we only require the marginal to have bounded second moments, whereas all prior work required stronger distributional assumptions (such as anticoncentration or boundedness). Our algorithm is based on recent work by [GHK$^+$23] on omniprediction using predictors satisfying calibrated multiaccuracy. Our analysis is simple and relies on the relationship between Bre","authors_text":"Adam R. Klivans, Aravind Gollakota, Konstantinos Stavropoulos, Parikshit Gopalan","cross_cats":["cs.DS","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-18T18:40:07Z","title":"Agnostically Learning Single-Index Models using Omnipredictors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.10615","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":"sha256:48ade8b9bd4fa46e0f32760638cafa566da3330a0eb68f152b8981dd6f91656d","target":"record","created_at":"2026-07-05T06:22:09Z","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":"6c09a715596b875783b4a11c29f077b02d73a28e6cafeb6e07941c9215bbc4a3","cross_cats_sorted":["cs.DS","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-18T18:40:07Z","title_canon_sha256":"6ef4d4856112a7253e173d1bf55409c3fdf58ed09af5c19c7c0f25f806aaf8fd"},"schema_version":"1.0","source":{"id":"2306.10615","kind":"arxiv","version":1}},"canonical_sha256":"2ccd2ec2d74bc01e851664633d56d67a53effa4a85c0c3c2e3ae307cf48bd759","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ccd2ec2d74bc01e851664633d56d67a53effa4a85c0c3c2e3ae307cf48bd759","first_computed_at":"2026-07-05T06:22:09.164476Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:22:09.164476Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JuQCR/vygDR8deoxtArfW3SGH9SHY+SV0xzcJK3/uTaCfgVng3eIFJQyaRgT4yYIxFmklT3GpoMiilONi0EQDg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:22:09.164921Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.10615","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:48ade8b9bd4fa46e0f32760638cafa566da3330a0eb68f152b8981dd6f91656d","sha256:fd57e8f8077b0561db6a5f53b19d9c93959a290d65461a91f8ae7bebd81868fc"],"state_sha256":"54280290108d18bd539240f22c91b0d7d379c98d2b7318c43db2bc5526dfcc88"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lHUOICwaQdUhgRdMuN7mGd4f4uoRo/V6N7V3j+M9FMHwdDuWJw0pukGaPJkqT5acwNp1xtkKcjS62ShLLEY1Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T19:19:36.020516Z","bundle_sha256":"a2f391bdeabb349b36a80c3454e4edcfa2928bf4581bb35b693332608d814326"}}