{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:7SPCY34GLEZTRM6GO3XHD2XJZG","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":"1c5df5fb8e767864210877e1a9a0863cc74fd35163022224a3ce4a7d1b6ba2e4","cross_cats_sorted":["cs.LG","cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2020-05-09T03:39:45Z","title_canon_sha256":"e232b1e79588923842eaf7bbb172743b5a52bd25158504380f5589e4672c3e57"},"schema_version":"1.0","source":{"id":"2005.04361","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.04361","created_at":"2026-07-05T01:01:57Z"},{"alias_kind":"arxiv_version","alias_value":"2005.04361v1","created_at":"2026-07-05T01:01:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.04361","created_at":"2026-07-05T01:01:57Z"},{"alias_kind":"pith_short_12","alias_value":"7SPCY34GLEZT","created_at":"2026-07-05T01:01:57Z"},{"alias_kind":"pith_short_16","alias_value":"7SPCY34GLEZTRM6G","created_at":"2026-07-05T01:01:57Z"},{"alias_kind":"pith_short_8","alias_value":"7SPCY34G","created_at":"2026-07-05T01:01:57Z"}],"graph_snapshots":[{"event_id":"sha256:cf93a32a3694a6d37461fae0d31d7040b59f6592d42cb96174905cf39da3cf4a","target":"graph","created_at":"2026-07-05T01:01:57Z","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/2005.04361/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"On social network platforms, a user's behavior is based on his/her personal interests, or influenced by his/her friends. In the literature, it is common to model either users' personal preference or their socially influenced preference. In this paper, we present a novel deep learning model SocialTrans for social recommendations to integrate these two types of preferences. SocialTrans is composed of three modules. The first module is based on a multi-layer Transformer to model users' personal preference. The second module is a multi-layer graph attention neural network (GAT), which is used to m","authors_text":"Chuan Chen, Hao Gu, Lingling Yi, Peng He, Qiaoan Chen, Yangqiu Song, Yishi Lin","cross_cats":["cs.LG","cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2020-05-09T03:39:45Z","title":"SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.04361","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":"sha256:393727639e0db64bb52c0b752fadfed6f97e4d1e742940337b74a8685895567d","target":"record","created_at":"2026-07-05T01:01:57Z","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":"1c5df5fb8e767864210877e1a9a0863cc74fd35163022224a3ce4a7d1b6ba2e4","cross_cats_sorted":["cs.LG","cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2020-05-09T03:39:45Z","title_canon_sha256":"e232b1e79588923842eaf7bbb172743b5a52bd25158504380f5589e4672c3e57"},"schema_version":"1.0","source":{"id":"2005.04361","kind":"arxiv","version":1}},"canonical_sha256":"fc9e2c6f86593338b3c676ee71eae9c984ec79065c35f64ab517b68335e3e1dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fc9e2c6f86593338b3c676ee71eae9c984ec79065c35f64ab517b68335e3e1dd","first_computed_at":"2026-07-05T01:01:57.239834Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:01:57.239834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kaIYG3SXHiXjtwsk89xRWLZYUdhMWiOznqXwoHwoWue64DZhWyo8uzFhCxZcKbCAofEP9aMEKNGgPGU45OnoCw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:01:57.240396Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.04361","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:393727639e0db64bb52c0b752fadfed6f97e4d1e742940337b74a8685895567d","sha256:cf93a32a3694a6d37461fae0d31d7040b59f6592d42cb96174905cf39da3cf4a"],"state_sha256":"046118c2d67808d3fa459d4b0ce4ebed188ec085110f7f6e5a5a1cc66942b9b9"}