{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:GK73HM3N2LUZGWNQWF6PB7A32S","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":"598b41688386986b95429a46416d30f0f905205c142da5aa195cfa8ec4aa2927","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2020-07-07T03:25:15Z","title_canon_sha256":"b8f99408496cfc575f6136f75559059319a057ec5f3de1899d7312a064888a12"},"schema_version":"1.0","source":{"id":"2007.03183","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.03183","created_at":"2026-07-05T01:17:00Z"},{"alias_kind":"arxiv_version","alias_value":"2007.03183v1","created_at":"2026-07-05T01:17:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.03183","created_at":"2026-07-05T01:17:00Z"},{"alias_kind":"pith_short_12","alias_value":"GK73HM3N2LUZ","created_at":"2026-07-05T01:17:00Z"},{"alias_kind":"pith_short_16","alias_value":"GK73HM3N2LUZGWNQ","created_at":"2026-07-05T01:17:00Z"},{"alias_kind":"pith_short_8","alias_value":"GK73HM3N","created_at":"2026-07-05T01:17:00Z"}],"graph_snapshots":[{"event_id":"sha256:441f6f346302257eab04dd2f3d2b9e8a83c6a81778431257b5a4a5d0a09d0695","target":"graph","created_at":"2026-07-05T01:17:00Z","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/2007.03183/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A common challenge for most current recommender systems is the cold-start problem. Due to the lack of user-item interactions, the fine-tuned recommender systems are unable to handle situations with new users or new items. Recently, some works introduce the meta-optimization idea into the recommendation scenarios, i.e. predicting the user preference by only a few of past interacted items. The core idea is learning a global sharing initialization parameter for all users and then learning the local parameters for each user separately. However, most meta-learning based recommendation approaches ad","authors_text":"Feng Yuan, Liming Zhu, Lina Yao, Manqing Dong, Xiwei Xu","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2020-07-07T03:25:15Z","title":"MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.03183","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":"sha256:548ea7fc2a308fb2d654dc685f43c50046100f0bf20515de6f3d245ef33aa8db","target":"record","created_at":"2026-07-05T01:17:00Z","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":"598b41688386986b95429a46416d30f0f905205c142da5aa195cfa8ec4aa2927","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2020-07-07T03:25:15Z","title_canon_sha256":"b8f99408496cfc575f6136f75559059319a057ec5f3de1899d7312a064888a12"},"schema_version":"1.0","source":{"id":"2007.03183","kind":"arxiv","version":1}},"canonical_sha256":"32bfb3b36dd2e99359b0b17cf0fc1bd4aacd4fffe5af72d071b98f59c2ef84dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"32bfb3b36dd2e99359b0b17cf0fc1bd4aacd4fffe5af72d071b98f59c2ef84dd","first_computed_at":"2026-07-05T01:17:00.406808Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:17:00.406808Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CVjOVcTxn2O65Ic7au/F/E4Ul6vII3iXED8XbnqAD3kzfPzV6wZ71g9lt2DdO0Z66oGobKO6bin2MR4F+oLTAg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:17:00.407180Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.03183","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:548ea7fc2a308fb2d654dc685f43c50046100f0bf20515de6f3d245ef33aa8db","sha256:441f6f346302257eab04dd2f3d2b9e8a83c6a81778431257b5a4a5d0a09d0695"],"state_sha256":"d16bfab9daa3682d1360a01b7d2d4f504d51563a864fc3c2c9673d572f08d0cb"}