{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3PLE2WBKNHTTBGHVWC6IOKFEB3","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":"34ab145b1f30938c67f2ceea19fa2bdf6d129057738c8c62813cf30cbc3e0431","cross_cats_sorted":["cs.AI","cs.IT","cs.LG","cs.SI","math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-04-22T14:49:46Z","title_canon_sha256":"24ef2676d0e2c54be51d7bbe48a6706c78bc2c3b6dcf1f7e8b03d6cb35beb07c"},"schema_version":"1.0","source":{"id":"2404.14240","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.14240","created_at":"2026-07-05T08:10:44Z"},{"alias_kind":"arxiv_version","alias_value":"2404.14240v1","created_at":"2026-07-05T08:10:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.14240","created_at":"2026-07-05T08:10:44Z"},{"alias_kind":"pith_short_12","alias_value":"3PLE2WBKNHTT","created_at":"2026-07-05T08:10:44Z"},{"alias_kind":"pith_short_16","alias_value":"3PLE2WBKNHTTBGHV","created_at":"2026-07-05T08:10:44Z"},{"alias_kind":"pith_short_8","alias_value":"3PLE2WBK","created_at":"2026-07-05T08:10:44Z"}],"graph_snapshots":[{"event_id":"sha256:c806710eb87c69db263db954d8feec6076b4d9e044df35bc7ea5e5898f9447f0","target":"graph","created_at":"2026-07-05T08:10:44Z","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/2404.14240/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A recent study has shown that diffusion models are well-suited for modeling the generative process of user-item interactions in recommender systems due to their denoising nature. However, existing diffusion model-based recommender systems do not explicitly leverage high-order connectivities that contain crucial collaborative signals for accurate recommendations. Addressing this gap, we propose CF-Diff, a new diffusion model-based collaborative filtering (CF) method, which is capable of making full use of collaborative signals along with multi-hop neighbors. Specifically, the forward-diffusion ","authors_text":"Jin-Duk Park, Won-Yong Shin, Yu Hou","cross_cats":["cs.AI","cs.IT","cs.LG","cs.SI","math.IT"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-04-22T14:49:46Z","title":"Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.14240","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":"sha256:99f0f9b041372e7790bb092ffa513c9cf0f6a730343ee5e90497b589d360527c","target":"record","created_at":"2026-07-05T08:10:44Z","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":"34ab145b1f30938c67f2ceea19fa2bdf6d129057738c8c62813cf30cbc3e0431","cross_cats_sorted":["cs.AI","cs.IT","cs.LG","cs.SI","math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-04-22T14:49:46Z","title_canon_sha256":"24ef2676d0e2c54be51d7bbe48a6706c78bc2c3b6dcf1f7e8b03d6cb35beb07c"},"schema_version":"1.0","source":{"id":"2404.14240","kind":"arxiv","version":1}},"canonical_sha256":"dbd64d582a69e73098f5b0bc8728a40ede957d1e8f6db66d4b3ae012232d953f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dbd64d582a69e73098f5b0bc8728a40ede957d1e8f6db66d4b3ae012232d953f","first_computed_at":"2026-07-05T08:10:44.155778Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:10:44.155778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tYFAHVcwvmUdwRrqACWhhqeYHL0VtJY8dd8gH7eGxX1yMhHDN+PdKAGC5fp4+I9iwTxVq2k7PZ80nr6W8jT3Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:10:44.156225Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.14240","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:99f0f9b041372e7790bb092ffa513c9cf0f6a730343ee5e90497b589d360527c","sha256:c806710eb87c69db263db954d8feec6076b4d9e044df35bc7ea5e5898f9447f0"],"state_sha256":"96a50df19563b4383c1f1b057552e87eaf4f436122b7c20ea2d4f13a66e1d5e0"}