{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:MMMNSINMBCNNGUOOIMRDBEDSYS","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":"c28ac9fcb8f118e661ec44aa6f531f10be00cbfe41a585c42de8890a1c28c640","cross_cats_sorted":["cs.AI","cs.LG","cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2020-12-01T14:21:58Z","title_canon_sha256":"3e86264d49c51fb4a25caf8f9a8914d4b6bc7ce2180a6ea548b7a66ba243d705"},"schema_version":"1.0","source":{"id":"2012.00508","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.00508","created_at":"2026-07-05T01:56:17Z"},{"alias_kind":"arxiv_version","alias_value":"2012.00508v1","created_at":"2026-07-05T01:56:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.00508","created_at":"2026-07-05T01:56:17Z"},{"alias_kind":"pith_short_12","alias_value":"MMMNSINMBCNN","created_at":"2026-07-05T01:56:17Z"},{"alias_kind":"pith_short_16","alias_value":"MMMNSINMBCNNGUOO","created_at":"2026-07-05T01:56:17Z"},{"alias_kind":"pith_short_8","alias_value":"MMMNSINM","created_at":"2026-07-05T01:56:17Z"}],"graph_snapshots":[{"event_id":"sha256:c24a1ab33008c90481f43a5f23ded67922c05897412e44d31e3bfeeb7f8d3169","target":"graph","created_at":"2026-07-05T01:56:17Z","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/2012.00508/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we consider the problem of providing robustness to adversarial communication in multi-agent systems. Specifically, we propose a solution towards robust cooperation, which enables the multi-agent system to maintain high performance in the presence of anonymous non-cooperative agents that communicate faulty, misleading or manipulative information. In pursuit of this goal, we propose a communication architecture based on Graph Neural Networks (GNNs), which is amenable to a novel Gaussian Process (GP)-based probabilistic model characterizing the mutual information between the simult","authors_text":"Amanda Prorok, Jan Blumenkamp, Rupert Mitchell","cross_cats":["cs.AI","cs.LG","cs.MA"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2020-12-01T14:21:58Z","title":"Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.00508","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":"sha256:4c94ae734b76a6ebcf1f0f12c9e6f89496ed4e9a8354d2b67a9f0d1b5f0b72ac","target":"record","created_at":"2026-07-05T01:56:17Z","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":"c28ac9fcb8f118e661ec44aa6f531f10be00cbfe41a585c42de8890a1c28c640","cross_cats_sorted":["cs.AI","cs.LG","cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2020-12-01T14:21:58Z","title_canon_sha256":"3e86264d49c51fb4a25caf8f9a8914d4b6bc7ce2180a6ea548b7a66ba243d705"},"schema_version":"1.0","source":{"id":"2012.00508","kind":"arxiv","version":1}},"canonical_sha256":"6318d921ac089ad351ce4322309072c496bcbd01d376cdd1c8bba706ef4a7181","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6318d921ac089ad351ce4322309072c496bcbd01d376cdd1c8bba706ef4a7181","first_computed_at":"2026-07-05T01:56:17.314826Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:56:17.314826Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NM/S0A/4mmaJt6NLIstLIj3AAPUNrU7lRNoqQhguFBnT3sY3fd6ek78sAebaIrtbJaR3DpjWCJ0uaHdJmaDAAg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:56:17.315309Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.00508","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c94ae734b76a6ebcf1f0f12c9e6f89496ed4e9a8354d2b67a9f0d1b5f0b72ac","sha256:c24a1ab33008c90481f43a5f23ded67922c05897412e44d31e3bfeeb7f8d3169"],"state_sha256":"fb2f0fabb34c957c4d9f84c8695d5c2323acb0c32632a4ade84b89acc3c146bb"}