{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:TAETDGOWZ2OAHQZWJCLBH467MD","short_pith_number":"pith:TAETDGOW","schema_version":"1.0","canonical_sha256":"98093199d6ce9c03c336489613f3df60fac7267104d32b9d77941a8c6d14921b","source":{"kind":"arxiv","id":"2605.25306","version":1},"attestation_state":"computed","paper":{"title":"Nonlinear-Gain Distributed Zeroth-Order Optimization for Networked Black-Box Control","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Dong Xie, Heng Zhang, Shengjun Zhang, Tingyi Liu","submitted_at":"2026-05-25T00:04:11Z","abstract_excerpt":"This letter studies distributed stochastic optimization over a peer-to-peer network when agents can query only zeroth-order function values. We propose ZOOM-PB, a coordinate-sampling distributed zeroth-order method equipped with a fractional-power powerball map. Unlike existing distributed zeroth-order methods that mainly refine gradient estimation or introduce primal--dual tracking, the proposed mechanism acts as a nonlinear feedback gain on the estimated gradient: it amplifies weak signals in flat regions and attenuates large stochastic estimates without adding transmitted states. Under stan"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2605.25306","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2026-05-25T00:04:11Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"aa4bbc29eaa0600038ed4228fa2594142d41c729bb1d3e4585b3a9d019eba0b1","abstract_canon_sha256":"89b46bb82aa5b195de8a75cc30ce81ccf5c89574f5bc71683af88da05b1b77a5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:04:28.177687Z","signature_b64":"NiaamQnVlJrg4bl9twDlHi6G6fgTaTmqgcToUxH0hHAHng4KMWg4uHwUnAnFztkr9hwf+2y9XwHqgfDWWKuSBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"98093199d6ce9c03c336489613f3df60fac7267104d32b9d77941a8c6d14921b","last_reissued_at":"2026-05-26T02:04:28.176900Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:04:28.176900Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Nonlinear-Gain Distributed Zeroth-Order Optimization for Networked Black-Box Control","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Dong Xie, Heng Zhang, Shengjun Zhang, Tingyi Liu","submitted_at":"2026-05-25T00:04:11Z","abstract_excerpt":"This letter studies distributed stochastic optimization over a peer-to-peer network when agents can query only zeroth-order function values. We propose ZOOM-PB, a coordinate-sampling distributed zeroth-order method equipped with a fractional-power powerball map. Unlike existing distributed zeroth-order methods that mainly refine gradient estimation or introduce primal--dual tracking, the proposed mechanism acts as a nonlinear feedback gain on the estimated gradient: it amplifies weak signals in flat regions and attenuates large stochastic estimates without adding transmitted states. Under stan"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25306","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.25306/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2605.25306","created_at":"2026-05-26T02:04:28.177024+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.25306v1","created_at":"2026-05-26T02:04:28.177024+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25306","created_at":"2026-05-26T02:04:28.177024+00:00"},{"alias_kind":"pith_short_12","alias_value":"TAETDGOWZ2OA","created_at":"2026-05-26T02:04:28.177024+00:00"},{"alias_kind":"pith_short_16","alias_value":"TAETDGOWZ2OAHQZW","created_at":"2026-05-26T02:04:28.177024+00:00"},{"alias_kind":"pith_short_8","alias_value":"TAETDGOW","created_at":"2026-05-26T02:04:28.177024+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TAETDGOWZ2OAHQZWJCLBH467MD","json":"https://pith.science/pith/TAETDGOWZ2OAHQZWJCLBH467MD.json","graph_json":"https://pith.science/api/pith-number/TAETDGOWZ2OAHQZWJCLBH467MD/graph.json","events_json":"https://pith.science/api/pith-number/TAETDGOWZ2OAHQZWJCLBH467MD/events.json","paper":"https://pith.science/paper/TAETDGOW"},"agent_actions":{"view_html":"https://pith.science/pith/TAETDGOWZ2OAHQZWJCLBH467MD","download_json":"https://pith.science/pith/TAETDGOWZ2OAHQZWJCLBH467MD.json","view_paper":"https://pith.science/paper/TAETDGOW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.25306&json=true","fetch_graph":"https://pith.science/api/pith-number/TAETDGOWZ2OAHQZWJCLBH467MD/graph.json","fetch_events":"https://pith.science/api/pith-number/TAETDGOWZ2OAHQZWJCLBH467MD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TAETDGOWZ2OAHQZWJCLBH467MD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TAETDGOWZ2OAHQZWJCLBH467MD/action/storage_attestation","attest_author":"https://pith.science/pith/TAETDGOWZ2OAHQZWJCLBH467MD/action/author_attestation","sign_citation":"https://pith.science/pith/TAETDGOWZ2OAHQZWJCLBH467MD/action/citation_signature","submit_replication":"https://pith.science/pith/TAETDGOWZ2OAHQZWJCLBH467MD/action/replication_record"}},"created_at":"2026-05-26T02:04:28.177024+00:00","updated_at":"2026-05-26T02:04:28.177024+00:00"}