{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TXMP2HP4DQMEKLSEV52S7BVUAO","short_pith_number":"pith:TXMP2HP4","canonical_record":{"source":{"id":"2306.16371","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2023-06-28T17:06:52Z","cross_cats_sorted":[],"title_canon_sha256":"c99c9f4536945d16c68fc25a9442c95769890ef875679170c76513ae045ea381","abstract_canon_sha256":"d4e36f0e3ab683831f58c7cf263e5f3f7f9474f6c50a9c3348ddd0f08d541c98"},"schema_version":"1.0"},"canonical_sha256":"9dd8fd1dfc1c18452e44af752f86b403801df9b72dd08983ecf3bdf6c0ffa8fe","source":{"kind":"arxiv","id":"2306.16371","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.16371","created_at":"2026-06-09T01:05:02Z"},{"alias_kind":"arxiv_version","alias_value":"2306.16371v4","created_at":"2026-06-09T01:05:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.16371","created_at":"2026-06-09T01:05:02Z"},{"alias_kind":"pith_short_12","alias_value":"TXMP2HP4DQME","created_at":"2026-06-09T01:05:02Z"},{"alias_kind":"pith_short_16","alias_value":"TXMP2HP4DQMEKLSE","created_at":"2026-06-09T01:05:02Z"},{"alias_kind":"pith_short_8","alias_value":"TXMP2HP4","created_at":"2026-06-09T01:05:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TXMP2HP4DQMEKLSEV52S7BVUAO","target":"record","payload":{"canonical_record":{"source":{"id":"2306.16371","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2023-06-28T17:06:52Z","cross_cats_sorted":[],"title_canon_sha256":"c99c9f4536945d16c68fc25a9442c95769890ef875679170c76513ae045ea381","abstract_canon_sha256":"d4e36f0e3ab683831f58c7cf263e5f3f7f9474f6c50a9c3348ddd0f08d541c98"},"schema_version":"1.0"},"canonical_sha256":"9dd8fd1dfc1c18452e44af752f86b403801df9b72dd08983ecf3bdf6c0ffa8fe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T01:05:02.770143Z","signature_b64":"vn11p/FeSloJN+0vZf2tIBZiYo617F8ueSAIXbZx0aMVbJ075gA6pwcpAP7JoITvQRGgj7siaWhkMSwG/sN7Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9dd8fd1dfc1c18452e44af752f86b403801df9b72dd08983ecf3bdf6c0ffa8fe","last_reissued_at":"2026-06-09T01:05:02.769652Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T01:05:02.769652Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.16371","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-09T01:05:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ILr6gCcGNsaC1QoOLXcPna1SM8vwE1jgMyVeDSsO+5SdGChR0brSBjTVQBYZYUnRSmMFWcEz1uxs7knVFN5fBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T09:35:20.348924Z"},"content_sha256":"ef8fbaa651ca91a75f03f9920cf99179fdcbc86a38a9afbc494d8ae08c6032ca","schema_version":"1.0","event_id":"sha256:ef8fbaa651ca91a75f03f9920cf99179fdcbc86a38a9afbc494d8ae08c6032ca"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TXMP2HP4DQMEKLSEV52S7BVUAO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Information-Theoretic Upper Bounds for Deterministic Noise in Zeroth-Order Convex Optimization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Alexander Gasnikov, Dmitry Pasechnyuk-Vilensky, Igor Pavlov, Martin Tak\\'a\\v{c}","submitted_at":"2023-06-28T17:06:52Z","abstract_excerpt":"We study deterministic adversarial noise in zeroth-order convex optimization on Euclidean balls. The maximum admissible level of noise is the largest uniform error in function-value queries for which polynomial-query optimization remains possible. We convert the Risteski-Li information-theoretic obstruction for approximately convex optimization into deterministic noisy-oracle upper bounds on this quantity.\n  The conversion gives the Lipschitz convex MALN upper bound with the Risteski-Li dimension dependence. A localized conic-collar embedding gives the corresponding Lipschitz strongly convex b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.16371","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2306.16371/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-06-09T01:05:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gkx9O4SEKdoJAZ4b/GC2ttmEkwnGuqtL1mr8Ke8GYL0gq9lQR2iqAS8S9v7l9qwZvlXj4leoAR7/JZsC73kMCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T09:35:20.349336Z"},"content_sha256":"6dd3ecddbd822eb3cafe8e4e52a20d440380df108893d0dd3b864901634c04bf","schema_version":"1.0","event_id":"sha256:6dd3ecddbd822eb3cafe8e4e52a20d440380df108893d0dd3b864901634c04bf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TXMP2HP4DQMEKLSEV52S7BVUAO/bundle.json","state_url":"https://pith.science/pith/TXMP2HP4DQMEKLSEV52S7BVUAO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TXMP2HP4DQMEKLSEV52S7BVUAO/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":"2026-06-12T09:35:20Z","links":{"resolver":"https://pith.science/pith/TXMP2HP4DQMEKLSEV52S7BVUAO","bundle":"https://pith.science/pith/TXMP2HP4DQMEKLSEV52S7BVUAO/bundle.json","state":"https://pith.science/pith/TXMP2HP4DQMEKLSEV52S7BVUAO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TXMP2HP4DQMEKLSEV52S7BVUAO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TXMP2HP4DQMEKLSEV52S7BVUAO","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":"d4e36f0e3ab683831f58c7cf263e5f3f7f9474f6c50a9c3348ddd0f08d541c98","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2023-06-28T17:06:52Z","title_canon_sha256":"c99c9f4536945d16c68fc25a9442c95769890ef875679170c76513ae045ea381"},"schema_version":"1.0","source":{"id":"2306.16371","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.16371","created_at":"2026-06-09T01:05:02Z"},{"alias_kind":"arxiv_version","alias_value":"2306.16371v4","created_at":"2026-06-09T01:05:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.16371","created_at":"2026-06-09T01:05:02Z"},{"alias_kind":"pith_short_12","alias_value":"TXMP2HP4DQME","created_at":"2026-06-09T01:05:02Z"},{"alias_kind":"pith_short_16","alias_value":"TXMP2HP4DQMEKLSE","created_at":"2026-06-09T01:05:02Z"},{"alias_kind":"pith_short_8","alias_value":"TXMP2HP4","created_at":"2026-06-09T01:05:02Z"}],"graph_snapshots":[{"event_id":"sha256:6dd3ecddbd822eb3cafe8e4e52a20d440380df108893d0dd3b864901634c04bf","target":"graph","created_at":"2026-06-09T01:05:02Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2306.16371/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study deterministic adversarial noise in zeroth-order convex optimization on Euclidean balls. The maximum admissible level of noise is the largest uniform error in function-value queries for which polynomial-query optimization remains possible. We convert the Risteski-Li information-theoretic obstruction for approximately convex optimization into deterministic noisy-oracle upper bounds on this quantity.\n  The conversion gives the Lipschitz convex MALN upper bound with the Risteski-Li dimension dependence. A localized conic-collar embedding gives the corresponding Lipschitz strongly convex b","authors_text":"Alexander Gasnikov, Dmitry Pasechnyuk-Vilensky, Igor Pavlov, Martin Tak\\'a\\v{c}","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2023-06-28T17:06:52Z","title":"Information-Theoretic Upper Bounds for Deterministic Noise in Zeroth-Order Convex Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.16371","kind":"arxiv","version":4},"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:ef8fbaa651ca91a75f03f9920cf99179fdcbc86a38a9afbc494d8ae08c6032ca","target":"record","created_at":"2026-06-09T01:05:02Z","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":"d4e36f0e3ab683831f58c7cf263e5f3f7f9474f6c50a9c3348ddd0f08d541c98","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2023-06-28T17:06:52Z","title_canon_sha256":"c99c9f4536945d16c68fc25a9442c95769890ef875679170c76513ae045ea381"},"schema_version":"1.0","source":{"id":"2306.16371","kind":"arxiv","version":4}},"canonical_sha256":"9dd8fd1dfc1c18452e44af752f86b403801df9b72dd08983ecf3bdf6c0ffa8fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9dd8fd1dfc1c18452e44af752f86b403801df9b72dd08983ecf3bdf6c0ffa8fe","first_computed_at":"2026-06-09T01:05:02.769652Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T01:05:02.769652Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vn11p/FeSloJN+0vZf2tIBZiYo617F8ueSAIXbZx0aMVbJ075gA6pwcpAP7JoITvQRGgj7siaWhkMSwG/sN7Ag==","signature_status":"signed_v1","signed_at":"2026-06-09T01:05:02.770143Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.16371","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ef8fbaa651ca91a75f03f9920cf99179fdcbc86a38a9afbc494d8ae08c6032ca","sha256:6dd3ecddbd822eb3cafe8e4e52a20d440380df108893d0dd3b864901634c04bf"],"state_sha256":"ea06a5802ef70c8ab879b218b16f6f8117c92b8c711a40d7e332763bf14ccd94"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n4Pc6SXprJedp8ty6tjhmsRg4F3o8l0J9nWkGiakK8SN63aVZ037e/4AEo97J2Dbsh9K1o0U5pYZj/3wIZ0CDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-12T09:35:20.351445Z","bundle_sha256":"ab71d437035067547bdfa8b9134139a484f7b44c53d7a35c897fea02ad520145"}}