{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:WU5LL6RSCFASOSACNHOAJ3USSO","short_pith_number":"pith:WU5LL6RS","canonical_record":{"source":{"id":"1907.05984","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-07-13T00:36:17Z","cross_cats_sorted":["cs.IT","cs.LG","math.IT"],"title_canon_sha256":"95aea957704a8a296041b6f1beb86e41060bb7539da24de503df960bce25b5f1","abstract_canon_sha256":"8217e607120e54dae0ec249fd1bb43acdd203690f39c5c68fab4876c565e7333"},"schema_version":"1.0"},"canonical_sha256":"b53ab5fa32114127480269dc04ee9293b8d7a6d812614a1149820a8eb573b3b9","source":{"kind":"arxiv","id":"1907.05984","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.05984","created_at":"2026-05-17T23:40:42Z"},{"alias_kind":"arxiv_version","alias_value":"1907.05984v1","created_at":"2026-05-17T23:40:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.05984","created_at":"2026-05-17T23:40:42Z"},{"alias_kind":"pith_short_12","alias_value":"WU5LL6RSCFAS","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"WU5LL6RSCFASOSAC","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"WU5LL6RS","created_at":"2026-05-18T12:33:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:WU5LL6RSCFASOSACNHOAJ3USSO","target":"record","payload":{"canonical_record":{"source":{"id":"1907.05984","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-07-13T00:36:17Z","cross_cats_sorted":["cs.IT","cs.LG","math.IT"],"title_canon_sha256":"95aea957704a8a296041b6f1beb86e41060bb7539da24de503df960bce25b5f1","abstract_canon_sha256":"8217e607120e54dae0ec249fd1bb43acdd203690f39c5c68fab4876c565e7333"},"schema_version":"1.0"},"canonical_sha256":"b53ab5fa32114127480269dc04ee9293b8d7a6d812614a1149820a8eb573b3b9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:42.781303Z","signature_b64":"GMY4dgBSeG+Yh4V/w84ZyzDBfTG8BEGYNQJM0sNDB51MgLdVUwvRYi4WrVBh/0ULIW22a7k05f0/WIvfN5o+CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b53ab5fa32114127480269dc04ee9293b8d7a6d812614a1149820a8eb573b3b9","last_reissued_at":"2026-05-17T23:40:42.780816Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:42.780816Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.05984","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":"2026-05-17T23:40:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vw1VIhiZyXBsP9EybMirCarQJ4Ibk2m59KjzW3pBYTGqk8ojyoORLmoDyJGmaY3uNkswPJfqdvmghnTMjf04Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T05:25:58.306149Z"},"content_sha256":"12db0109ba7edcc1624de1546e9b3a67e68479aa20c16b40516cef0b90ed160a","schema_version":"1.0","event_id":"sha256:12db0109ba7edcc1624de1546e9b3a67e68479aa20c16b40516cef0b90ed160a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:WU5LL6RSCFASOSACNHOAJ3USSO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Distributed Black-Box Optimization via Error Correcting Codes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","cs.LG","math.IT"],"primary_cat":"cs.DC","authors_text":"Burak Bartan, Mert Pilanci","submitted_at":"2019-07-13T00:36:17Z","abstract_excerpt":"We introduce a novel distributed derivative-free optimization framework that is resilient to stragglers. The proposed method employs coded search directions at which the objective function is evaluated, and a decoding step to find the next iterate. Our framework can be seen as an extension of evolution strategies and structured exploration methods where structured search directions were utilized. As an application, we consider black-box adversarial attacks on deep convolutional neural networks. Our numerical experiments demonstrate a significant improvement in the computation times."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.05984","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":"2026-05-17T23:40:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cPMdEHvgr3ESkKp1IsXPLZctMBtANPx6prYDjOm4zxxScI0H4dMKiMC/T0y1Mzib7G3Rq3UUPaB+7Lez+UpiBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T05:25:58.306826Z"},"content_sha256":"443dcc7b9fdee360854aa11884fd5c34c53a81994df311549dfbf4c709331ed4","schema_version":"1.0","event_id":"sha256:443dcc7b9fdee360854aa11884fd5c34c53a81994df311549dfbf4c709331ed4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WU5LL6RSCFASOSACNHOAJ3USSO/bundle.json","state_url":"https://pith.science/pith/WU5LL6RSCFASOSACNHOAJ3USSO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WU5LL6RSCFASOSACNHOAJ3USSO/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":"2026-05-27T05:25:58Z","links":{"resolver":"https://pith.science/pith/WU5LL6RSCFASOSACNHOAJ3USSO","bundle":"https://pith.science/pith/WU5LL6RSCFASOSACNHOAJ3USSO/bundle.json","state":"https://pith.science/pith/WU5LL6RSCFASOSACNHOAJ3USSO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WU5LL6RSCFASOSACNHOAJ3USSO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:WU5LL6RSCFASOSACNHOAJ3USSO","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":"8217e607120e54dae0ec249fd1bb43acdd203690f39c5c68fab4876c565e7333","cross_cats_sorted":["cs.IT","cs.LG","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-07-13T00:36:17Z","title_canon_sha256":"95aea957704a8a296041b6f1beb86e41060bb7539da24de503df960bce25b5f1"},"schema_version":"1.0","source":{"id":"1907.05984","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.05984","created_at":"2026-05-17T23:40:42Z"},{"alias_kind":"arxiv_version","alias_value":"1907.05984v1","created_at":"2026-05-17T23:40:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.05984","created_at":"2026-05-17T23:40:42Z"},{"alias_kind":"pith_short_12","alias_value":"WU5LL6RSCFAS","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"WU5LL6RSCFASOSAC","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"WU5LL6RS","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:443dcc7b9fdee360854aa11884fd5c34c53a81994df311549dfbf4c709331ed4","target":"graph","created_at":"2026-05-17T23:40:42Z","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 introduce a novel distributed derivative-free optimization framework that is resilient to stragglers. The proposed method employs coded search directions at which the objective function is evaluated, and a decoding step to find the next iterate. Our framework can be seen as an extension of evolution strategies and structured exploration methods where structured search directions were utilized. As an application, we consider black-box adversarial attacks on deep convolutional neural networks. Our numerical experiments demonstrate a significant improvement in the computation times.","authors_text":"Burak Bartan, Mert Pilanci","cross_cats":["cs.IT","cs.LG","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-07-13T00:36:17Z","title":"Distributed Black-Box Optimization via Error Correcting Codes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.05984","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":"sha256:12db0109ba7edcc1624de1546e9b3a67e68479aa20c16b40516cef0b90ed160a","target":"record","created_at":"2026-05-17T23:40:42Z","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":"8217e607120e54dae0ec249fd1bb43acdd203690f39c5c68fab4876c565e7333","cross_cats_sorted":["cs.IT","cs.LG","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-07-13T00:36:17Z","title_canon_sha256":"95aea957704a8a296041b6f1beb86e41060bb7539da24de503df960bce25b5f1"},"schema_version":"1.0","source":{"id":"1907.05984","kind":"arxiv","version":1}},"canonical_sha256":"b53ab5fa32114127480269dc04ee9293b8d7a6d812614a1149820a8eb573b3b9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b53ab5fa32114127480269dc04ee9293b8d7a6d812614a1149820a8eb573b3b9","first_computed_at":"2026-05-17T23:40:42.780816Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:40:42.780816Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GMY4dgBSeG+Yh4V/w84ZyzDBfTG8BEGYNQJM0sNDB51MgLdVUwvRYi4WrVBh/0ULIW22a7k05f0/WIvfN5o+CA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:40:42.781303Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.05984","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:12db0109ba7edcc1624de1546e9b3a67e68479aa20c16b40516cef0b90ed160a","sha256:443dcc7b9fdee360854aa11884fd5c34c53a81994df311549dfbf4c709331ed4"],"state_sha256":"2da9e4a9b97a89da9027ba7662990612a9baefaf766300fb715ceec58c165e5f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UplcAWPeSMtpNkqhlUMTOzLiqh9PT3V0N8P5odgKfWUaF3jkxa3ObGPQGJ9zCotUysUfd9NgRGs7Vh29/XZRAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T05:25:58.310375Z","bundle_sha256":"30ee63274e2bcd9ff01797770a4b0f980c26c68e70abc8ebc2ee2213b8786cc2"}}