{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:BDXWN6SB4ZVFU3F7XPCK2XBGWS","short_pith_number":"pith:BDXWN6SB","canonical_record":{"source":{"id":"1903.06477","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-03-15T11:51:11Z","cross_cats_sorted":[],"title_canon_sha256":"2f3202a9b53c019915a0d71a2e598a0ca3574c329443ac86dd2ec7e84c44853b","abstract_canon_sha256":"c0b67a2fc4a369ff1c72b4730e4736dd57b7abce8c0bc08d038751fb5a150acd"},"schema_version":"1.0"},"canonical_sha256":"08ef66fa41e66a5a6cbfbbc4ad5c26b49d765c0910684dfb853d9f8230cfd9ef","source":{"kind":"arxiv","id":"1903.06477","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.06477","created_at":"2026-05-17T23:51:10Z"},{"alias_kind":"arxiv_version","alias_value":"1903.06477v1","created_at":"2026-05-17T23:51:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.06477","created_at":"2026-05-17T23:51:10Z"},{"alias_kind":"pith_short_12","alias_value":"BDXWN6SB4ZVF","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BDXWN6SB4ZVFU3F7","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BDXWN6SB","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:BDXWN6SB4ZVFU3F7XPCK2XBGWS","target":"record","payload":{"canonical_record":{"source":{"id":"1903.06477","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-03-15T11:51:11Z","cross_cats_sorted":[],"title_canon_sha256":"2f3202a9b53c019915a0d71a2e598a0ca3574c329443ac86dd2ec7e84c44853b","abstract_canon_sha256":"c0b67a2fc4a369ff1c72b4730e4736dd57b7abce8c0bc08d038751fb5a150acd"},"schema_version":"1.0"},"canonical_sha256":"08ef66fa41e66a5a6cbfbbc4ad5c26b49d765c0910684dfb853d9f8230cfd9ef","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:10.730031Z","signature_b64":"q6DZK69XAP4Ai9aAE8Zvqg0is9zJNZR5ulsk08anTQ+p91db6AxcXnu1c0Q2D4AkLOLAtWmCtUYLrrHM4zQWDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"08ef66fa41e66a5a6cbfbbc4ad5c26b49d765c0910684dfb853d9f8230cfd9ef","last_reissued_at":"2026-05-17T23:51:10.729462Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:10.729462Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.06477","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":"2026-05-17T23:51:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eXHuc9kis2mGqfqC3ozcXGrP7a3RJ47LZ/5nQyWNELPESJwn+nHE32rKikDn5zG3WAOiFEF2eGUyqSkXsYlGDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T00:28:08.500097Z"},"content_sha256":"2fb1c88599526a009c33462e767a5508f8b550ea10576ce9864f99c8a71b2109","schema_version":"1.0","event_id":"sha256:2fb1c88599526a009c33462e767a5508f8b550ea10576ce9864f99c8a71b2109"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:BDXWN6SB4ZVFU3F7XPCK2XBGWS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SuperSCS: fast and accurate large-scale conic optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Krina Menounou, Panagiotis Patrinos, Pantelis Sopasakis","submitted_at":"2019-03-15T11:51:11Z","abstract_excerpt":"We present SuperSCS: a fast and accurate method for solving large-scale convex conic problems. SuperSCS combines the SuperMann algorithmic framework with the Douglas-Rachford splitting which is applied on the homogeneous self-dual embedding of conic optimization problems: a model for conic optimization problems which simultaneously encodes the optimality conditions and infeasibility/unboundedness certificates for the original problem. SuperMann allows the use of fast quasi-Newtonian directions such as a modified restarted Broyden-type direction and Anderson's acceleration."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.06477","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":"2026-05-17T23:51:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RDfAOAyrA7yUEXA9K5ZTiWAyJ9IvGzdYSFPXtNlk/FH0HSqjl+xX0d8Dj64bZoGSC09WBRjIn2pLsg9JnyfLAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T00:28:08.500748Z"},"content_sha256":"623bb83b2ee859c35235e34e3cf784e85ee49e5a57a3a112b2a1998b3e0286ca","schema_version":"1.0","event_id":"sha256:623bb83b2ee859c35235e34e3cf784e85ee49e5a57a3a112b2a1998b3e0286ca"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BDXWN6SB4ZVFU3F7XPCK2XBGWS/bundle.json","state_url":"https://pith.science/pith/BDXWN6SB4ZVFU3F7XPCK2XBGWS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BDXWN6SB4ZVFU3F7XPCK2XBGWS/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":"2026-05-28T00:28:08Z","links":{"resolver":"https://pith.science/pith/BDXWN6SB4ZVFU3F7XPCK2XBGWS","bundle":"https://pith.science/pith/BDXWN6SB4ZVFU3F7XPCK2XBGWS/bundle.json","state":"https://pith.science/pith/BDXWN6SB4ZVFU3F7XPCK2XBGWS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BDXWN6SB4ZVFU3F7XPCK2XBGWS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BDXWN6SB4ZVFU3F7XPCK2XBGWS","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":"c0b67a2fc4a369ff1c72b4730e4736dd57b7abce8c0bc08d038751fb5a150acd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-03-15T11:51:11Z","title_canon_sha256":"2f3202a9b53c019915a0d71a2e598a0ca3574c329443ac86dd2ec7e84c44853b"},"schema_version":"1.0","source":{"id":"1903.06477","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.06477","created_at":"2026-05-17T23:51:10Z"},{"alias_kind":"arxiv_version","alias_value":"1903.06477v1","created_at":"2026-05-17T23:51:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.06477","created_at":"2026-05-17T23:51:10Z"},{"alias_kind":"pith_short_12","alias_value":"BDXWN6SB4ZVF","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BDXWN6SB4ZVFU3F7","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BDXWN6SB","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:623bb83b2ee859c35235e34e3cf784e85ee49e5a57a3a112b2a1998b3e0286ca","target":"graph","created_at":"2026-05-17T23:51:10Z","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 SuperSCS: a fast and accurate method for solving large-scale convex conic problems. SuperSCS combines the SuperMann algorithmic framework with the Douglas-Rachford splitting which is applied on the homogeneous self-dual embedding of conic optimization problems: a model for conic optimization problems which simultaneously encodes the optimality conditions and infeasibility/unboundedness certificates for the original problem. SuperMann allows the use of fast quasi-Newtonian directions such as a modified restarted Broyden-type direction and Anderson's acceleration.","authors_text":"Krina Menounou, Panagiotis Patrinos, Pantelis Sopasakis","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-03-15T11:51:11Z","title":"SuperSCS: fast and accurate large-scale conic optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.06477","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":"sha256:2fb1c88599526a009c33462e767a5508f8b550ea10576ce9864f99c8a71b2109","target":"record","created_at":"2026-05-17T23:51:10Z","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":"c0b67a2fc4a369ff1c72b4730e4736dd57b7abce8c0bc08d038751fb5a150acd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-03-15T11:51:11Z","title_canon_sha256":"2f3202a9b53c019915a0d71a2e598a0ca3574c329443ac86dd2ec7e84c44853b"},"schema_version":"1.0","source":{"id":"1903.06477","kind":"arxiv","version":1}},"canonical_sha256":"08ef66fa41e66a5a6cbfbbc4ad5c26b49d765c0910684dfb853d9f8230cfd9ef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"08ef66fa41e66a5a6cbfbbc4ad5c26b49d765c0910684dfb853d9f8230cfd9ef","first_computed_at":"2026-05-17T23:51:10.729462Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:51:10.729462Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"q6DZK69XAP4Ai9aAE8Zvqg0is9zJNZR5ulsk08anTQ+p91db6AxcXnu1c0Q2D4AkLOLAtWmCtUYLrrHM4zQWDQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:51:10.730031Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.06477","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2fb1c88599526a009c33462e767a5508f8b550ea10576ce9864f99c8a71b2109","sha256:623bb83b2ee859c35235e34e3cf784e85ee49e5a57a3a112b2a1998b3e0286ca"],"state_sha256":"fe6b7cc729f5f8e0c603dea013138062a1b5a9d8f790cfc01aa4be5277ef97b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s8At3JppfNdaBouqjMHvQM1oOBnRkBceyL7oFbJgilWLeE7tftXKtJ/0BHpCRhXzoEpaSwEQ9aiunCX5zEuZBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T00:28:08.503762Z","bundle_sha256":"dfcfd6b108b6688466e0bb3e052a33829e57df7287871deaa126a32f61264368"}}