{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:45WHSMBN5TU2LSD5HBCKLNYOVG","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":"04b9b15297641a79b0e366034f3fb6386b139180fc72ebec519acf2495c6c369","cross_cats_sorted":["cs.AI","cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-03T14:05:59Z","title_canon_sha256":"0333d624328410d0858d3531ec239f9d35ff798c03dd41a3e1f02965dddf9e03"},"schema_version":"1.0","source":{"id":"2303.01936","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.01936","created_at":"2026-07-05T05:47:50Z"},{"alias_kind":"arxiv_version","alias_value":"2303.01936v1","created_at":"2026-07-05T05:47:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.01936","created_at":"2026-07-05T05:47:50Z"},{"alias_kind":"pith_short_12","alias_value":"45WHSMBN5TU2","created_at":"2026-07-05T05:47:50Z"},{"alias_kind":"pith_short_16","alias_value":"45WHSMBN5TU2LSD5","created_at":"2026-07-05T05:47:50Z"},{"alias_kind":"pith_short_8","alias_value":"45WHSMBN","created_at":"2026-07-05T05:47:50Z"}],"graph_snapshots":[{"event_id":"sha256:d9e9bdb5a7062aa5a6f99c5b17ec9f465f880e7b65a837073204cd1c48c9aa7c","target":"graph","created_at":"2026-07-05T05:47:50Z","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/2303.01936/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work focuses on adversarial learning over graphs. We propose a general adversarial training framework for multi-agent systems using diffusion learning. We analyze the convergence properties of the proposed scheme for convex optimization problems, and illustrate its enhanced robustness to adversarial attacks.","authors_text":"Ali H. Sayed, Elsa Rizk, Stefan Vlaski, Ying Cao","cross_cats":["cs.AI","cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-03T14:05:59Z","title":"Multi-Agent Adversarial Training Using Diffusion Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.01936","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":"sha256:1d72b2a4528a998610b3724e6e642fbaa6699dd020002948d339dd1d276f9b19","target":"record","created_at":"2026-07-05T05:47:50Z","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":"04b9b15297641a79b0e366034f3fb6386b139180fc72ebec519acf2495c6c369","cross_cats_sorted":["cs.AI","cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-03T14:05:59Z","title_canon_sha256":"0333d624328410d0858d3531ec239f9d35ff798c03dd41a3e1f02965dddf9e03"},"schema_version":"1.0","source":{"id":"2303.01936","kind":"arxiv","version":1}},"canonical_sha256":"e76c79302dece9a5c87d3844a5b70ea988f69afe7275152492fae1bec509d95c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e76c79302dece9a5c87d3844a5b70ea988f69afe7275152492fae1bec509d95c","first_computed_at":"2026-07-05T05:47:50.625613Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:47:50.625613Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dK9keUgY3KSFnqesEgVLLUSK2Zl7lMbvRPIWHJs9XRQ3WLZt9ItfnZK8Aw8hjUrzDou1vocjD9606pW9G6h5CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:47:50.626101Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.01936","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d72b2a4528a998610b3724e6e642fbaa6699dd020002948d339dd1d276f9b19","sha256:d9e9bdb5a7062aa5a6f99c5b17ec9f465f880e7b65a837073204cd1c48c9aa7c"],"state_sha256":"ceda704cc6a95f95613dddd71c657c03e670609764f56137ace1a63d38056712"}