{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:JOE4PYYONZOGDSYBVBN7AY66HS","short_pith_number":"pith:JOE4PYYO","canonical_record":{"source":{"id":"1602.01124","kind":"arxiv","version":7},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2016-02-02T21:35:41Z","cross_cats_sorted":[],"title_canon_sha256":"bc5755d1baa91bbee3e84524d9275ee4eed6262b16b19ad9d8a7b8392b258d47","abstract_canon_sha256":"52e757dcdf81c5ad7ad8d881fafce545d19ec7978c4ebe3b212aaeee7433a6cc"},"schema_version":"1.0"},"canonical_sha256":"4b89c7e30e6e5c61cb01a85bf063de3caec92add4eae417df3b24c48023d0077","source":{"kind":"arxiv","id":"1602.01124","version":7},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.01124","created_at":"2026-05-18T01:11:17Z"},{"alias_kind":"arxiv_version","alias_value":"1602.01124v7","created_at":"2026-05-18T01:11:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.01124","created_at":"2026-05-18T01:11:17Z"},{"alias_kind":"pith_short_12","alias_value":"JOE4PYYONZOG","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_16","alias_value":"JOE4PYYONZOGDSYB","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_8","alias_value":"JOE4PYYO","created_at":"2026-05-18T12:30:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:JOE4PYYONZOGDSYBVBN7AY66HS","target":"record","payload":{"canonical_record":{"source":{"id":"1602.01124","kind":"arxiv","version":7},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2016-02-02T21:35:41Z","cross_cats_sorted":[],"title_canon_sha256":"bc5755d1baa91bbee3e84524d9275ee4eed6262b16b19ad9d8a7b8392b258d47","abstract_canon_sha256":"52e757dcdf81c5ad7ad8d881fafce545d19ec7978c4ebe3b212aaeee7433a6cc"},"schema_version":"1.0"},"canonical_sha256":"4b89c7e30e6e5c61cb01a85bf063de3caec92add4eae417df3b24c48023d0077","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:11:17.712460Z","signature_b64":"qXlzFtx6fw14TzOMFW+YqHhOFANzbpXt9YeYFkzpmzp326aBIojXEmIDHBCU5nAcIcFNX9gIk4aQvKfOse2lCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4b89c7e30e6e5c61cb01a85bf063de3caec92add4eae417df3b24c48023d0077","last_reissued_at":"2026-05-18T01:11:17.711935Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:11:17.711935Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1602.01124","source_version":7,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:11:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bd5J0NlLIEdQsxzrK6WuEYappc4ikNWfeF21xlLDw/EaluBpoqKYQN7sNHPrOsnTpOPAKrHp4BPNsZdlu/8oBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-19T22:49:36.112329Z"},"content_sha256":"29624b4f542fbf16cdd1abb5d2beff51539d62713664180327b39510bba8efc6","schema_version":"1.0","event_id":"sha256:29624b4f542fbf16cdd1abb5d2beff51539d62713664180327b39510bba8efc6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:JOE4PYYONZOGDSYBVBN7AY66HS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Non accelerated efficient numerical methods for sparse quadratic optimization problems and its generalizations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Alexander Gasnikov, Alexander Gornov, Anton Anikin","submitted_at":"2016-02-02T21:35:41Z","abstract_excerpt":"We investigate primal gradient method with l1-norm and conditional gradient method (both methods are non accelerated). We show that these methods can outperform well known accelerated approaches for some classes of sparse quadratic problems. Moreover we discuss some generalizations."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.01124","kind":"arxiv","version":7},"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":"2026-05-18T01:11:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jwn5s8/LJDOnzTIYXWRTlV3f07l3aM8Zr1mGuX0oEaQUHfauH36p2a6KmLae65gHPz91zr78I81AGMwGlvKGCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-19T22:49:36.112809Z"},"content_sha256":"4fbd588dbeb8a07e04f7f5a81ef2c6ba964ad58e78370fa557f7735f9a80e9e5","schema_version":"1.0","event_id":"sha256:4fbd588dbeb8a07e04f7f5a81ef2c6ba964ad58e78370fa557f7735f9a80e9e5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JOE4PYYONZOGDSYBVBN7AY66HS/bundle.json","state_url":"https://pith.science/pith/JOE4PYYONZOGDSYBVBN7AY66HS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JOE4PYYONZOGDSYBVBN7AY66HS/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":"2026-06-19T22:49:36Z","links":{"resolver":"https://pith.science/pith/JOE4PYYONZOGDSYBVBN7AY66HS","bundle":"https://pith.science/pith/JOE4PYYONZOGDSYBVBN7AY66HS/bundle.json","state":"https://pith.science/pith/JOE4PYYONZOGDSYBVBN7AY66HS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JOE4PYYONZOGDSYBVBN7AY66HS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:JOE4PYYONZOGDSYBVBN7AY66HS","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":"52e757dcdf81c5ad7ad8d881fafce545d19ec7978c4ebe3b212aaeee7433a6cc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2016-02-02T21:35:41Z","title_canon_sha256":"bc5755d1baa91bbee3e84524d9275ee4eed6262b16b19ad9d8a7b8392b258d47"},"schema_version":"1.0","source":{"id":"1602.01124","kind":"arxiv","version":7}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.01124","created_at":"2026-05-18T01:11:17Z"},{"alias_kind":"arxiv_version","alias_value":"1602.01124v7","created_at":"2026-05-18T01:11:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.01124","created_at":"2026-05-18T01:11:17Z"},{"alias_kind":"pith_short_12","alias_value":"JOE4PYYONZOG","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_16","alias_value":"JOE4PYYONZOGDSYB","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_8","alias_value":"JOE4PYYO","created_at":"2026-05-18T12:30:25Z"}],"graph_snapshots":[{"event_id":"sha256:4fbd588dbeb8a07e04f7f5a81ef2c6ba964ad58e78370fa557f7735f9a80e9e5","target":"graph","created_at":"2026-05-18T01:11:17Z","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 investigate primal gradient method with l1-norm and conditional gradient method (both methods are non accelerated). We show that these methods can outperform well known accelerated approaches for some classes of sparse quadratic problems. Moreover we discuss some generalizations.","authors_text":"Alexander Gasnikov, Alexander Gornov, Anton Anikin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2016-02-02T21:35:41Z","title":"Non accelerated efficient numerical methods for sparse quadratic optimization problems and its generalizations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.01124","kind":"arxiv","version":7},"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":"sha256:29624b4f542fbf16cdd1abb5d2beff51539d62713664180327b39510bba8efc6","target":"record","created_at":"2026-05-18T01:11:17Z","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":"52e757dcdf81c5ad7ad8d881fafce545d19ec7978c4ebe3b212aaeee7433a6cc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2016-02-02T21:35:41Z","title_canon_sha256":"bc5755d1baa91bbee3e84524d9275ee4eed6262b16b19ad9d8a7b8392b258d47"},"schema_version":"1.0","source":{"id":"1602.01124","kind":"arxiv","version":7}},"canonical_sha256":"4b89c7e30e6e5c61cb01a85bf063de3caec92add4eae417df3b24c48023d0077","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b89c7e30e6e5c61cb01a85bf063de3caec92add4eae417df3b24c48023d0077","first_computed_at":"2026-05-18T01:11:17.711935Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:11:17.711935Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qXlzFtx6fw14TzOMFW+YqHhOFANzbpXt9YeYFkzpmzp326aBIojXEmIDHBCU5nAcIcFNX9gIk4aQvKfOse2lCw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:11:17.712460Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.01124","source_kind":"arxiv","source_version":7}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:29624b4f542fbf16cdd1abb5d2beff51539d62713664180327b39510bba8efc6","sha256:4fbd588dbeb8a07e04f7f5a81ef2c6ba964ad58e78370fa557f7735f9a80e9e5"],"state_sha256":"6f836f9fc917c3da4f7d7b625bc21d2a8eed987797e94e5291a43e2cdc7053f4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x8Ie4Pejox1RBatF/8lmaHL+tw60OSip8AUKzD7tL9CVtL1aDltlxGjs5BLRtLa0KKL/cDy6xm2P6S8bzizYAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-19T22:49:36.115103Z","bundle_sha256":"f9f35aee38c02e9c15adf22e2458abae677efec735fcb4e134c1de97913bff09"}}