{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PGSTMXATRGPEDPE4IRMNH64NA7","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":"60a6f4191c8976035afb88fa1ebe1d043802e74b7f291c2f67f054df336ed010","cross_cats_sorted":["cs.AI","cs.IR","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-01T11:51:52Z","title_canon_sha256":"9030a21d145b55124e42ec6209034b780c803cae074168bf1331ef02c6a10974"},"schema_version":"1.0","source":{"id":"2408.00490","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.00490","created_at":"2026-07-05T10:43:25Z"},{"alias_kind":"arxiv_version","alias_value":"2408.00490v4","created_at":"2026-07-05T10:43:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.00490","created_at":"2026-07-05T10:43:25Z"},{"alias_kind":"pith_short_12","alias_value":"PGSTMXATRGPE","created_at":"2026-07-05T10:43:25Z"},{"alias_kind":"pith_short_16","alias_value":"PGSTMXATRGPEDPE4","created_at":"2026-07-05T10:43:25Z"},{"alias_kind":"pith_short_8","alias_value":"PGSTMXAT","created_at":"2026-07-05T10:43:25Z"}],"graph_snapshots":[{"event_id":"sha256:adf7a9d035ca4e472899b7d112aa5ef09ea5735f46db14a88f06e044e6fc9f44","target":"graph","created_at":"2026-07-05T10:43:25Z","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/2408.00490/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph Neural Networks (GNNs)-based recommendation algorithms typically assume that training and testing data are drawn from independent and identically distributed (IID) spaces. However, this assumption often fails in the presence of out-of-distribution (OOD) data, resulting in significant performance degradation. In this study, we construct a Structural Causal Model (SCM) to analyze interaction data, revealing that environmental confounders (e.g., the COVID-19 pandemic) lead to unstable correlations in GNN-based models, thus impairing their generalization to OOD data. To address this issue, w","authors_text":"Chu Zhao, Enneng Yang, Guibing Guo, Jianzhe Zhao, Pengxiang Lan, Xingwei Wang, Yuliang Liang, Yuting Liu","cross_cats":["cs.AI","cs.IR","cs.SI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-01T11:51:52Z","title":"Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.00490","kind":"arxiv","version":4},"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:aceb8dffa9073abbc7b2e55a97ae476b1237f7eac93613dcedcc2beced0a6c4f","target":"record","created_at":"2026-07-05T10:43:25Z","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":"60a6f4191c8976035afb88fa1ebe1d043802e74b7f291c2f67f054df336ed010","cross_cats_sorted":["cs.AI","cs.IR","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-01T11:51:52Z","title_canon_sha256":"9030a21d145b55124e42ec6209034b780c803cae074168bf1331ef02c6a10974"},"schema_version":"1.0","source":{"id":"2408.00490","kind":"arxiv","version":4}},"canonical_sha256":"79a5365c13899e41bc9c4458d3fb8d07f58a56cb1901be42e461c7903f8ae6f6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"79a5365c13899e41bc9c4458d3fb8d07f58a56cb1901be42e461c7903f8ae6f6","first_computed_at":"2026-07-05T10:43:25.134214Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:43:25.134214Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"j0F1tfiVlrCQ0/UlT+t3Jd54jGvUTF/wKOJjDmEKS4LSlCuhSIN02BHEXXTdjfOnc6qO14yAoh8eTaKWytGQBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:43:25.134703Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.00490","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aceb8dffa9073abbc7b2e55a97ae476b1237f7eac93613dcedcc2beced0a6c4f","sha256:adf7a9d035ca4e472899b7d112aa5ef09ea5735f46db14a88f06e044e6fc9f44"],"state_sha256":"6285dcc543e31f6aca7e808c6265776ee53d8efc54c4a0de1a012ddff12e7ac2"}