{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:WL3I63GOYP3RZ4QG7RNJWRO4NJ","short_pith_number":"pith:WL3I63GO","canonical_record":{"source":{"id":"1602.02350","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-02-07T08:37:18Z","cross_cats_sorted":[],"title_canon_sha256":"6e79054f8a27a83e46863417c0d1a5188c338a49d023d6fee028d656c9bc815e","abstract_canon_sha256":"d8e5a3be48ca85003b9b048cc55a69173625e1d669056dad4a07f0f42e49471a"},"schema_version":"1.0"},"canonical_sha256":"b2f68f6ccec3f71cf206fc5a9b45dc6a557974369f745b993290c4ee08987fa3","source":{"kind":"arxiv","id":"1602.02350","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.02350","created_at":"2026-05-18T01:13:37Z"},{"alias_kind":"arxiv_version","alias_value":"1602.02350v2","created_at":"2026-05-18T01:13:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.02350","created_at":"2026-05-18T01:13:37Z"},{"alias_kind":"pith_short_12","alias_value":"WL3I63GOYP3R","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"WL3I63GOYP3RZ4QG","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"WL3I63GO","created_at":"2026-05-18T12:30:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:WL3I63GOYP3RZ4QG7RNJWRO4NJ","target":"record","payload":{"canonical_record":{"source":{"id":"1602.02350","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-02-07T08:37:18Z","cross_cats_sorted":[],"title_canon_sha256":"6e79054f8a27a83e46863417c0d1a5188c338a49d023d6fee028d656c9bc815e","abstract_canon_sha256":"d8e5a3be48ca85003b9b048cc55a69173625e1d669056dad4a07f0f42e49471a"},"schema_version":"1.0"},"canonical_sha256":"b2f68f6ccec3f71cf206fc5a9b45dc6a557974369f745b993290c4ee08987fa3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:13:37.707331Z","signature_b64":"M77AhMDGOn8P+uoOmiW4KHi7t/TRx/jzAMPskEQT/4IrjOgdtg6nxd30fhEeaelMitXm1Mz+c4txERsY/ESrDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b2f68f6ccec3f71cf206fc5a9b45dc6a557974369f745b993290c4ee08987fa3","last_reissued_at":"2026-05-18T01:13:37.706721Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:13:37.706721Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1602.02350","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":"2026-05-18T01:13:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ilhIH5f4XipwNN21Ca75scorAOIfjXfSdifNASnTzVfWpQc2/XMWTUIJ5CnlLrR9UhYulo0NtfUqTeWiomxuBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T11:37:13.182104Z"},"content_sha256":"1ea55b2dd202cdd5ce40bad00a56bc64909f6d5130420b86e427a27215f92a70","schema_version":"1.0","event_id":"sha256:1ea55b2dd202cdd5ce40bad00a56bc64909f6d5130420b86e427a27215f92a70"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:WL3I63GOYP3RZ4QG7RNJWRO4NJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Solving Ridge Regression using Sketched Preconditioned SVRG","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Alon Gonen, Francesco Orabona, Shai Shalev-Shwartz","submitted_at":"2016-02-07T08:37:18Z","abstract_excerpt":"We develop a novel preconditioning method for ridge regression, based on recent linear sketching methods. By equipping Stochastic Variance Reduced Gradient (SVRG) with this preconditioning process, we obtain a significant speed-up relative to fast stochastic methods such as SVRG, SDCA and SAG."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.02350","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":""},"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":"2026-05-18T01:13:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"888cKhZtiIR/9rqxRwNojtiRHeTai2e1v3b0rRfcqbUmjXD3XYjqc+hHA3rNXqWnwffSd2F0pSi8CTqDUpepCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T11:37:13.182725Z"},"content_sha256":"a300e23d014e24decd23d51b3bac1df942f1e04bf456b38d483bf6207b3b6cd6","schema_version":"1.0","event_id":"sha256:a300e23d014e24decd23d51b3bac1df942f1e04bf456b38d483bf6207b3b6cd6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WL3I63GOYP3RZ4QG7RNJWRO4NJ/bundle.json","state_url":"https://pith.science/pith/WL3I63GOYP3RZ4QG7RNJWRO4NJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WL3I63GOYP3RZ4QG7RNJWRO4NJ/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":"2026-05-26T11:37:13Z","links":{"resolver":"https://pith.science/pith/WL3I63GOYP3RZ4QG7RNJWRO4NJ","bundle":"https://pith.science/pith/WL3I63GOYP3RZ4QG7RNJWRO4NJ/bundle.json","state":"https://pith.science/pith/WL3I63GOYP3RZ4QG7RNJWRO4NJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WL3I63GOYP3RZ4QG7RNJWRO4NJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:WL3I63GOYP3RZ4QG7RNJWRO4NJ","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":"d8e5a3be48ca85003b9b048cc55a69173625e1d669056dad4a07f0f42e49471a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-02-07T08:37:18Z","title_canon_sha256":"6e79054f8a27a83e46863417c0d1a5188c338a49d023d6fee028d656c9bc815e"},"schema_version":"1.0","source":{"id":"1602.02350","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.02350","created_at":"2026-05-18T01:13:37Z"},{"alias_kind":"arxiv_version","alias_value":"1602.02350v2","created_at":"2026-05-18T01:13:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.02350","created_at":"2026-05-18T01:13:37Z"},{"alias_kind":"pith_short_12","alias_value":"WL3I63GOYP3R","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"WL3I63GOYP3RZ4QG","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"WL3I63GO","created_at":"2026-05-18T12:30:48Z"}],"graph_snapshots":[{"event_id":"sha256:a300e23d014e24decd23d51b3bac1df942f1e04bf456b38d483bf6207b3b6cd6","target":"graph","created_at":"2026-05-18T01:13:37Z","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 develop a novel preconditioning method for ridge regression, based on recent linear sketching methods. By equipping Stochastic Variance Reduced Gradient (SVRG) with this preconditioning process, we obtain a significant speed-up relative to fast stochastic methods such as SVRG, SDCA and SAG.","authors_text":"Alon Gonen, Francesco Orabona, Shai Shalev-Shwartz","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-02-07T08:37:18Z","title":"Solving Ridge Regression using Sketched Preconditioned SVRG"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.02350","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":"sha256:1ea55b2dd202cdd5ce40bad00a56bc64909f6d5130420b86e427a27215f92a70","target":"record","created_at":"2026-05-18T01:13:37Z","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":"d8e5a3be48ca85003b9b048cc55a69173625e1d669056dad4a07f0f42e49471a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-02-07T08:37:18Z","title_canon_sha256":"6e79054f8a27a83e46863417c0d1a5188c338a49d023d6fee028d656c9bc815e"},"schema_version":"1.0","source":{"id":"1602.02350","kind":"arxiv","version":2}},"canonical_sha256":"b2f68f6ccec3f71cf206fc5a9b45dc6a557974369f745b993290c4ee08987fa3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2f68f6ccec3f71cf206fc5a9b45dc6a557974369f745b993290c4ee08987fa3","first_computed_at":"2026-05-18T01:13:37.706721Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:13:37.706721Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M77AhMDGOn8P+uoOmiW4KHi7t/TRx/jzAMPskEQT/4IrjOgdtg6nxd30fhEeaelMitXm1Mz+c4txERsY/ESrDw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:13:37.707331Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.02350","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1ea55b2dd202cdd5ce40bad00a56bc64909f6d5130420b86e427a27215f92a70","sha256:a300e23d014e24decd23d51b3bac1df942f1e04bf456b38d483bf6207b3b6cd6"],"state_sha256":"616a3fe5c7bd645cd2842218f48d64d34dfae35dcf353ee01eb92b01b69804a0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"82A6kpbsJxsZnmog05ekIn5OEI0j+NYpR/kdLiZSGWHdwil3+TgkkSVl7LMvH4a4gD/MtWU+XqYmuLLflSOXCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T11:37:13.186166Z","bundle_sha256":"61d2049d6b34e8dbf8af4d489ce34e7946fb0e26437a87b9cf729c94c2b7f603"}}