{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:ABE5QS5WPB6FSLAFNMJY3RKY7L","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":"c7c5182e14a0d4d3fdad9774041232453c4a0ffa9d6a55c7d11bca9f38626bac","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-05-25T12:25:37Z","title_canon_sha256":"631affa3efb374904bfc3211e2099f639598a213b390e423d5aeda1741fb07b6"},"schema_version":"1.0","source":{"id":"2205.12711","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.12711","created_at":"2026-07-05T04:33:00Z"},{"alias_kind":"arxiv_version","alias_value":"2205.12711v2","created_at":"2026-07-05T04:33:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.12711","created_at":"2026-07-05T04:33:00Z"},{"alias_kind":"pith_short_12","alias_value":"ABE5QS5WPB6F","created_at":"2026-07-05T04:33:00Z"},{"alias_kind":"pith_short_16","alias_value":"ABE5QS5WPB6FSLAF","created_at":"2026-07-05T04:33:00Z"},{"alias_kind":"pith_short_8","alias_value":"ABE5QS5W","created_at":"2026-07-05T04:33:00Z"}],"graph_snapshots":[{"event_id":"sha256:06b7db62398e07ba24104c470a969ec6d9bcbe886e55f38d44ba6c7f83919a12","target":"graph","created_at":"2026-07-05T04:33:00Z","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/2205.12711/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Internet-of-Things (IoT) networks intelligently connect thousands of physical entities to provide various services for the community. It is witnessing an exponential expansion, which is complicating the process of discovering IoT devices existing in the network and requesting corresponding services from them. As the highly dynamic nature of the IoT environment hinders the use of traditional solutions of service discovery, we aim, in this paper, to address this issue by proposing a scalable resource allocation neural model adequate for heterogeneous large-scale IoT networks. We devise a Graph N","authors_text":"Aymen Hamrouni, Hakim Ghazzai, Yehia Massoud","cross_cats":["cs.DC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-05-25T12:25:37Z","title":"Service Discovery in Social Internet of Things using Graph Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.12711","kind":"arxiv","version":2},"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:bca8d1818ed0384f0d19f528d3abe2c339a1d30fc1f035c922231b3da0f76dc1","target":"record","created_at":"2026-07-05T04:33:00Z","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":"c7c5182e14a0d4d3fdad9774041232453c4a0ffa9d6a55c7d11bca9f38626bac","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-05-25T12:25:37Z","title_canon_sha256":"631affa3efb374904bfc3211e2099f639598a213b390e423d5aeda1741fb07b6"},"schema_version":"1.0","source":{"id":"2205.12711","kind":"arxiv","version":2}},"canonical_sha256":"0049d84bb6787c592c056b138dc558faf5d3b0a7d51baf44dd9b4fff7fc32366","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0049d84bb6787c592c056b138dc558faf5d3b0a7d51baf44dd9b4fff7fc32366","first_computed_at":"2026-07-05T04:33:00.185639Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:33:00.185639Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NLgM5Z2TiBw3bZyp3GWWFOc4I/ASTKlr+kGKCy/XrI0ZWp4coqn5DAStlEohnmZic1GRhL7/Gv85tjhTt/QYCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:33:00.186079Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.12711","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bca8d1818ed0384f0d19f528d3abe2c339a1d30fc1f035c922231b3da0f76dc1","sha256:06b7db62398e07ba24104c470a969ec6d9bcbe886e55f38d44ba6c7f83919a12"],"state_sha256":"30f9555c60fc0bed4f630232b587604fc6d458eaef6b2b60ea1156230a82f877"}