{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NE2YYYOHST75HGROFHRSE6XULC","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":"aa36ab7c7492e704105a57f55609479aaba2daa71cb5a93a2f48a09825ecb9d3","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-22T09:48:17Z","title_canon_sha256":"c97d33733d81448e83f5e848110da64c1521f13b7babc792b14d5883aed3f3f4"},"schema_version":"1.0","source":{"id":"2505.16466","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16466","created_at":"2026-07-05T11:07:36Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16466v1","created_at":"2026-07-05T11:07:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16466","created_at":"2026-07-05T11:07:36Z"},{"alias_kind":"pith_short_12","alias_value":"NE2YYYOHST75","created_at":"2026-07-05T11:07:36Z"},{"alias_kind":"pith_short_16","alias_value":"NE2YYYOHST75HGRO","created_at":"2026-07-05T11:07:36Z"},{"alias_kind":"pith_short_8","alias_value":"NE2YYYOH","created_at":"2026-07-05T11:07:36Z"}],"graph_snapshots":[{"event_id":"sha256:07688e9d393ba18c6d44f89b3e465485dc7f054ff29f668774021ae70cb40335","target":"graph","created_at":"2026-07-05T11:07:36Z","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/2505.16466/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recommender systems based on graph neural networks perform well in tasks such as rating and ranking. However, in real-world recommendation scenarios, noise such as user misuse and malicious advertisement gradually accumulates through the message propagation mechanism. Even if existing studies mitigate their effects by reducing the noise propagation weights, the severe sparsity of the recommender system still leads to the low-weighted noisy neighbors being mistaken as meaningful information, and the prediction result obtained based on the polluted nodes is not entirely trustworthy. Therefore, i","authors_text":"Cai Xu, Meng Yan, Wei Zhao, Xujing Wang, Yuhang Zhou, Ziyu Guan","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-22T09:48:17Z","title":"Conf-GNNRec: Quantifying and Calibrating the Prediction Confidence for GNN-based Recommendation Methods"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16466","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":"sha256:222f6f8468173176227be14ed93cc8d59cee31de5ac7e1494afd04aa9a5938cd","target":"record","created_at":"2026-07-05T11:07:36Z","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":"aa36ab7c7492e704105a57f55609479aaba2daa71cb5a93a2f48a09825ecb9d3","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-22T09:48:17Z","title_canon_sha256":"c97d33733d81448e83f5e848110da64c1521f13b7babc792b14d5883aed3f3f4"},"schema_version":"1.0","source":{"id":"2505.16466","kind":"arxiv","version":1}},"canonical_sha256":"69358c61c794ffd39a2e29e3227af458b88b8f97c155123cf07cb2e3d3927b60","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"69358c61c794ffd39a2e29e3227af458b88b8f97c155123cf07cb2e3d3927b60","first_computed_at":"2026-07-05T11:07:36.014471Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:36.014471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eNVC7OCCYM3beuuy+AE2FXIRDkKMx2dTN85J+huSHxnFR9TeFyrVUHEeuV+bKJB7/HmO8hS/Kr+oY4kAYTBKCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:36.014919Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.16466","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:222f6f8468173176227be14ed93cc8d59cee31de5ac7e1494afd04aa9a5938cd","sha256:07688e9d393ba18c6d44f89b3e465485dc7f054ff29f668774021ae70cb40335"],"state_sha256":"5235d4f3ad0ce5c746cd62425298061f29fa66c28032d725cb6f855939adafed"}