{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EBOZDN5T6PGLGQKURTH3LF6JUX","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":"8ec2ad04ec2eb973db71e024fd81a11cecb90e5555af270914c1d31a86e9eafa","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-05-09T14:37:08Z","title_canon_sha256":"4144c92c48ca2685f2adc7f70c78698aa855a7dddcee1b36f652b8773adb1397"},"schema_version":"1.0","source":{"id":"2405.05802","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.05802","created_at":"2026-07-05T08:17:23Z"},{"alias_kind":"arxiv_version","alias_value":"2405.05802v1","created_at":"2026-07-05T08:17:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.05802","created_at":"2026-07-05T08:17:23Z"},{"alias_kind":"pith_short_12","alias_value":"EBOZDN5T6PGL","created_at":"2026-07-05T08:17:23Z"},{"alias_kind":"pith_short_16","alias_value":"EBOZDN5T6PGLGQKU","created_at":"2026-07-05T08:17:23Z"},{"alias_kind":"pith_short_8","alias_value":"EBOZDN5T","created_at":"2026-07-05T08:17:23Z"}],"graph_snapshots":[{"event_id":"sha256:1647f3da8cc8fe91814fe1ff6416384da5395248cd75649fa82e4fd8d87f5e72","target":"graph","created_at":"2026-07-05T08:17:23Z","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/2405.05802/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As an emerging artificial intelligence technology, graph neural networks (GNNs) have exhibited promising performance across a wide range of graph-related applications. However, information exchanges among neighbor nodes in GNN pose new challenges in the resource-constrained scenario, especially in wireless systems. In practical wireless systems, the communication links among nodes are usually unreliable due to wireless fading and receiver noise, consequently resulting in performance degradation of GNNs. To improve the learning performance of GNNs, we aim to maximize the number of long-term ave","authors_text":"Guangji Chen, Jun Li, Kang Wei, Long Shi, Weiwei Zhang, Wen Chen","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-05-09T14:37:08Z","title":"Deploying Graph Neural Networks in Wireless Networks: A Link Stability Viewpoint"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.05802","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:c6ab11342f0b83f623e8a743ccf3471cc843b9750044a94c8ead02725387c1b1","target":"record","created_at":"2026-07-05T08:17:23Z","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":"8ec2ad04ec2eb973db71e024fd81a11cecb90e5555af270914c1d31a86e9eafa","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-05-09T14:37:08Z","title_canon_sha256":"4144c92c48ca2685f2adc7f70c78698aa855a7dddcee1b36f652b8773adb1397"},"schema_version":"1.0","source":{"id":"2405.05802","kind":"arxiv","version":1}},"canonical_sha256":"205d91b7b3f3ccb341548ccfb597c9a5f9009e3add27ccbc4711fabcb73e8931","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"205d91b7b3f3ccb341548ccfb597c9a5f9009e3add27ccbc4711fabcb73e8931","first_computed_at":"2026-07-05T08:17:23.095553Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:17:23.095553Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"45ZfCJKLyYuU6A3qtVa/gT9mvBMZYtTiYJSY9GmhSidA4kjtTtUPnLn+TettmgWZw8DPBYvtTrNRSjvYKxbSBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:17:23.095980Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.05802","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c6ab11342f0b83f623e8a743ccf3471cc843b9750044a94c8ead02725387c1b1","sha256:1647f3da8cc8fe91814fe1ff6416384da5395248cd75649fa82e4fd8d87f5e72"],"state_sha256":"11fa1c370ad3a86b223357809631bda45322231b6fa311b9dbae902b91eba158"}