{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:HUKNP3FFBILXMSSK6JWKVOX2OM","short_pith_number":"pith:HUKNP3FF","canonical_record":{"source":{"id":"1903.04641","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-03-11T22:50:29Z","cross_cats_sorted":["math.ST","stat.ML","stat.TH"],"title_canon_sha256":"87a0f15ec059fad7d011f70a8a24139fc9fd4e8b169dca791d7866e3ded46c17","abstract_canon_sha256":"8e02e6b510db673db3d8a3971f4be80251b10e2eb8976afe789d39a6d95f68bc"},"schema_version":"1.0"},"canonical_sha256":"3d14d7eca50a17764a4af26caabafa7323272f0419d052e26a333e2a8e84e1bd","source":{"kind":"arxiv","id":"1903.04641","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.04641","created_at":"2026-05-17T23:51:29Z"},{"alias_kind":"arxiv_version","alias_value":"1903.04641v1","created_at":"2026-05-17T23:51:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.04641","created_at":"2026-05-17T23:51:29Z"},{"alias_kind":"pith_short_12","alias_value":"HUKNP3FFBILX","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"HUKNP3FFBILXMSSK","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"HUKNP3FF","created_at":"2026-05-18T12:33:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:HUKNP3FFBILXMSSK6JWKVOX2OM","target":"record","payload":{"canonical_record":{"source":{"id":"1903.04641","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-03-11T22:50:29Z","cross_cats_sorted":["math.ST","stat.ML","stat.TH"],"title_canon_sha256":"87a0f15ec059fad7d011f70a8a24139fc9fd4e8b169dca791d7866e3ded46c17","abstract_canon_sha256":"8e02e6b510db673db3d8a3971f4be80251b10e2eb8976afe789d39a6d95f68bc"},"schema_version":"1.0"},"canonical_sha256":"3d14d7eca50a17764a4af26caabafa7323272f0419d052e26a333e2a8e84e1bd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:29.065360Z","signature_b64":"PPo7abZNBdoj+h13ltH9Z81OJ+dhRtg3C+Ep5nU3juv8QzTkxqXv7dUzfzGfuhHQ3B7SUWNN9gB0M6Bcr8PLBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3d14d7eca50a17764a4af26caabafa7323272f0419d052e26a333e2a8e84e1bd","last_reissued_at":"2026-05-17T23:51:29.064789Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:29.064789Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.04641","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":"2026-05-17T23:51:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mkB2ck1npRKHATi77M1m7/Xq/bM0haZT/glmRUhykNhoguBLeSvVRiE8DHXKXSSNWQQLnACDJCcJiNGNzGc3BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T04:25:09.621500Z"},"content_sha256":"50f832e440f8333c396b23fe9e8f7596ba4815693ef3fe40b2eb02621b25b8f0","schema_version":"1.0","event_id":"sha256:50f832e440f8333c396b23fe9e8f7596ba4815693ef3fe40b2eb02621b25b8f0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:HUKNP3FFBILXMSSK6JWKVOX2OM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generalized Sparse Additive Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.ST","stat.ML","stat.TH"],"primary_cat":"stat.ME","authors_text":"Ali Shojaie, Asad Haris, Noah Simon","submitted_at":"2019-03-11T22:50:29Z","abstract_excerpt":"We present a unified framework for estimation and analysis of generalized additive models in high dimensions. The framework defines a large class of penalized regression estimators, encompassing many existing methods. An efficient computational algorithm for this class is presented that easily scales to thousands of observations and features. We prove minimax optimal convergence bounds for this class under a weak compatibility condition. In addition, we characterize the rate of convergence when this compatibility condition is not met. Finally, we also show that the optimal penalty parameters f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.04641","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":"2026-05-17T23:51:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VkiCJ2MUqZn+tBQdbVQA6Beey+pjlH1Q+WDn+F/+uDr4rIGVNO/tWXx/G/ACv9Y+YaMyJrchjFoJs12uYnS1BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T04:25:09.622180Z"},"content_sha256":"df148eb6baf270052ba9f07832b923f23caf5d74436d2a766e8b22f331b5c15b","schema_version":"1.0","event_id":"sha256:df148eb6baf270052ba9f07832b923f23caf5d74436d2a766e8b22f331b5c15b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HUKNP3FFBILXMSSK6JWKVOX2OM/bundle.json","state_url":"https://pith.science/pith/HUKNP3FFBILXMSSK6JWKVOX2OM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HUKNP3FFBILXMSSK6JWKVOX2OM/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":"2026-05-27T04:25:09Z","links":{"resolver":"https://pith.science/pith/HUKNP3FFBILXMSSK6JWKVOX2OM","bundle":"https://pith.science/pith/HUKNP3FFBILXMSSK6JWKVOX2OM/bundle.json","state":"https://pith.science/pith/HUKNP3FFBILXMSSK6JWKVOX2OM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HUKNP3FFBILXMSSK6JWKVOX2OM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HUKNP3FFBILXMSSK6JWKVOX2OM","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":"8e02e6b510db673db3d8a3971f4be80251b10e2eb8976afe789d39a6d95f68bc","cross_cats_sorted":["math.ST","stat.ML","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-03-11T22:50:29Z","title_canon_sha256":"87a0f15ec059fad7d011f70a8a24139fc9fd4e8b169dca791d7866e3ded46c17"},"schema_version":"1.0","source":{"id":"1903.04641","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.04641","created_at":"2026-05-17T23:51:29Z"},{"alias_kind":"arxiv_version","alias_value":"1903.04641v1","created_at":"2026-05-17T23:51:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.04641","created_at":"2026-05-17T23:51:29Z"},{"alias_kind":"pith_short_12","alias_value":"HUKNP3FFBILX","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"HUKNP3FFBILXMSSK","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"HUKNP3FF","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:df148eb6baf270052ba9f07832b923f23caf5d74436d2a766e8b22f331b5c15b","target":"graph","created_at":"2026-05-17T23:51:29Z","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 present a unified framework for estimation and analysis of generalized additive models in high dimensions. The framework defines a large class of penalized regression estimators, encompassing many existing methods. An efficient computational algorithm for this class is presented that easily scales to thousands of observations and features. We prove minimax optimal convergence bounds for this class under a weak compatibility condition. In addition, we characterize the rate of convergence when this compatibility condition is not met. Finally, we also show that the optimal penalty parameters f","authors_text":"Ali Shojaie, Asad Haris, Noah Simon","cross_cats":["math.ST","stat.ML","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-03-11T22:50:29Z","title":"Generalized Sparse Additive Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.04641","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":"sha256:50f832e440f8333c396b23fe9e8f7596ba4815693ef3fe40b2eb02621b25b8f0","target":"record","created_at":"2026-05-17T23:51:29Z","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":"8e02e6b510db673db3d8a3971f4be80251b10e2eb8976afe789d39a6d95f68bc","cross_cats_sorted":["math.ST","stat.ML","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-03-11T22:50:29Z","title_canon_sha256":"87a0f15ec059fad7d011f70a8a24139fc9fd4e8b169dca791d7866e3ded46c17"},"schema_version":"1.0","source":{"id":"1903.04641","kind":"arxiv","version":1}},"canonical_sha256":"3d14d7eca50a17764a4af26caabafa7323272f0419d052e26a333e2a8e84e1bd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3d14d7eca50a17764a4af26caabafa7323272f0419d052e26a333e2a8e84e1bd","first_computed_at":"2026-05-17T23:51:29.064789Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:51:29.064789Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PPo7abZNBdoj+h13ltH9Z81OJ+dhRtg3C+Ep5nU3juv8QzTkxqXv7dUzfzGfuhHQ3B7SUWNN9gB0M6Bcr8PLBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:51:29.065360Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.04641","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:50f832e440f8333c396b23fe9e8f7596ba4815693ef3fe40b2eb02621b25b8f0","sha256:df148eb6baf270052ba9f07832b923f23caf5d74436d2a766e8b22f331b5c15b"],"state_sha256":"a1e6a67d0a0b2f7c19bf058052b2a47e66f77795a1392de3f6ff8507cfca2fff"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"InDMIHimclEkJI/v2KK50wFdxNmnEfUqkIJXx+0ZPmROFzKtP4HsIXox+iln8OGRJR/5+eu7BM6y8h5JRDqbCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T04:25:09.625269Z","bundle_sha256":"f93052e775f24c5bd6cccb4678d45ccd6bcbd33631b9c6ad63c815913e78c256"}}