{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:4ULW65GP4JQP73ZVHV5VB4PKC2","short_pith_number":"pith:4ULW65GP","canonical_record":{"source":{"id":"2603.07916","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-03-09T03:18:26Z","cross_cats_sorted":["cs.DB","cs.LG"],"title_canon_sha256":"bf6d08cc4b32092a30e53e60ce0856dbf7ff686bf636d59d7140a5fae1a4aba6","abstract_canon_sha256":"d5656fb91260654ec91a3af1d0e5ae1642c6607251151cdfe1fd1fef01aacddd"},"schema_version":"1.0"},"canonical_sha256":"e5176f74cfe260ffef353d7b50f1ea1695ddd13266411fcef2466c5a80d9a5b5","source":{"kind":"arxiv","id":"2603.07916","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.07916","created_at":"2026-05-29T02:05:42Z"},{"alias_kind":"arxiv_version","alias_value":"2603.07916v2","created_at":"2026-05-29T02:05:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.07916","created_at":"2026-05-29T02:05:42Z"},{"alias_kind":"pith_short_12","alias_value":"4ULW65GP4JQP","created_at":"2026-05-29T02:05:42Z"},{"alias_kind":"pith_short_16","alias_value":"4ULW65GP4JQP73ZV","created_at":"2026-05-29T02:05:42Z"},{"alias_kind":"pith_short_8","alias_value":"4ULW65GP","created_at":"2026-05-29T02:05:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:4ULW65GP4JQP73ZVHV5VB4PKC2","target":"record","payload":{"canonical_record":{"source":{"id":"2603.07916","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-03-09T03:18:26Z","cross_cats_sorted":["cs.DB","cs.LG"],"title_canon_sha256":"bf6d08cc4b32092a30e53e60ce0856dbf7ff686bf636d59d7140a5fae1a4aba6","abstract_canon_sha256":"d5656fb91260654ec91a3af1d0e5ae1642c6607251151cdfe1fd1fef01aacddd"},"schema_version":"1.0"},"canonical_sha256":"e5176f74cfe260ffef353d7b50f1ea1695ddd13266411fcef2466c5a80d9a5b5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T02:05:42.639487Z","signature_b64":"zvs165GbcBIZMMvBT0bjPBxzJEr8yF9YfvbM7qvTvt1p0khExmXJle7omVdnSN5SfZ3VleZlCWZ5wqZ4+zJGCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e5176f74cfe260ffef353d7b50f1ea1695ddd13266411fcef2466c5a80d9a5b5","last_reissued_at":"2026-05-29T02:05:42.638808Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T02:05:42.638808Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2603.07916","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-29T02:05:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oSrMZNTwmJF1dlunTdcN5BGvhY0VuWn13oZr75HO95yBFD3oW63EyDMLOfyGs9O5gluk+kzCH2pYfJ44BvO8Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T19:28:10.327443Z"},"content_sha256":"53a5c4c9cab291d7bf1abd5915755b8fafd854ea047f8902dec88542d949f4d2","schema_version":"1.0","event_id":"sha256:53a5c4c9cab291d7bf1abd5915755b8fafd854ea047f8902dec88542d949f4d2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:4ULW65GP4JQP73ZVHV5VB4PKC2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.DB","cs.LG"],"primary_cat":"cs.AI","authors_text":"Bangguo Zhu, Chengqi Zhang, Hao Yan, Jun Yin, Peng Huo, Senzhang Wang, Shirui Pan","submitted_at":"2026-03-09T03:18:26Z","abstract_excerpt":"In recent advances, to enable a fully data-driven learning paradigm on relational databases (RDB), relational deep learning (RDL) is proposed to structure the RDB as a heterogeneous entity graph and adopt the graph neural network (GNN) as the predictive model. However, existing RDL methods neglect the imbalance problem of relational data in RDBs and risk under-representing the minority entities, leading to an unusable model in practice. In this work, we investigate, for the first time, class imbalance problem in RDB entity classification and design the relation-centric minority synthetic over-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.07916","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2603.07916/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-29T02:05:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jnb3DTVip1i85ZxCUHHffNpci2B0ZHzpue0bTpP1xxsn5YRLEdZY5jid/IH3jaUOpCfGph+biL6BpZM08q7qCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T19:28:10.327823Z"},"content_sha256":"b0f1cc5783fbd01c0afb5eb53bed89fef5a02e04f27d6e93dbaa2fd7d6838c33","schema_version":"1.0","event_id":"sha256:b0f1cc5783fbd01c0afb5eb53bed89fef5a02e04f27d6e93dbaa2fd7d6838c33"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4ULW65GP4JQP73ZVHV5VB4PKC2/bundle.json","state_url":"https://pith.science/pith/4ULW65GP4JQP73ZVHV5VB4PKC2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4ULW65GP4JQP73ZVHV5VB4PKC2/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-02T19:28:10Z","links":{"resolver":"https://pith.science/pith/4ULW65GP4JQP73ZVHV5VB4PKC2","bundle":"https://pith.science/pith/4ULW65GP4JQP73ZVHV5VB4PKC2/bundle.json","state":"https://pith.science/pith/4ULW65GP4JQP73ZVHV5VB4PKC2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4ULW65GP4JQP73ZVHV5VB4PKC2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4ULW65GP4JQP73ZVHV5VB4PKC2","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":"d5656fb91260654ec91a3af1d0e5ae1642c6607251151cdfe1fd1fef01aacddd","cross_cats_sorted":["cs.DB","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-03-09T03:18:26Z","title_canon_sha256":"bf6d08cc4b32092a30e53e60ce0856dbf7ff686bf636d59d7140a5fae1a4aba6"},"schema_version":"1.0","source":{"id":"2603.07916","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.07916","created_at":"2026-05-29T02:05:42Z"},{"alias_kind":"arxiv_version","alias_value":"2603.07916v2","created_at":"2026-05-29T02:05:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.07916","created_at":"2026-05-29T02:05:42Z"},{"alias_kind":"pith_short_12","alias_value":"4ULW65GP4JQP","created_at":"2026-05-29T02:05:42Z"},{"alias_kind":"pith_short_16","alias_value":"4ULW65GP4JQP73ZV","created_at":"2026-05-29T02:05:42Z"},{"alias_kind":"pith_short_8","alias_value":"4ULW65GP","created_at":"2026-05-29T02:05:42Z"}],"graph_snapshots":[{"event_id":"sha256:b0f1cc5783fbd01c0afb5eb53bed89fef5a02e04f27d6e93dbaa2fd7d6838c33","target":"graph","created_at":"2026-05-29T02:05:42Z","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/2603.07916/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent advances, to enable a fully data-driven learning paradigm on relational databases (RDB), relational deep learning (RDL) is proposed to structure the RDB as a heterogeneous entity graph and adopt the graph neural network (GNN) as the predictive model. However, existing RDL methods neglect the imbalance problem of relational data in RDBs and risk under-representing the minority entities, leading to an unusable model in practice. In this work, we investigate, for the first time, class imbalance problem in RDB entity classification and design the relation-centric minority synthetic over-","authors_text":"Bangguo Zhu, Chengqi Zhang, Hao Yan, Jun Yin, Peng Huo, Senzhang Wang, Shirui Pan","cross_cats":["cs.DB","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-03-09T03:18:26Z","title":"Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.07916","kind":"arxiv","version":2},"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":"sha256:53a5c4c9cab291d7bf1abd5915755b8fafd854ea047f8902dec88542d949f4d2","target":"record","created_at":"2026-05-29T02:05:42Z","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":"d5656fb91260654ec91a3af1d0e5ae1642c6607251151cdfe1fd1fef01aacddd","cross_cats_sorted":["cs.DB","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-03-09T03:18:26Z","title_canon_sha256":"bf6d08cc4b32092a30e53e60ce0856dbf7ff686bf636d59d7140a5fae1a4aba6"},"schema_version":"1.0","source":{"id":"2603.07916","kind":"arxiv","version":2}},"canonical_sha256":"e5176f74cfe260ffef353d7b50f1ea1695ddd13266411fcef2466c5a80d9a5b5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e5176f74cfe260ffef353d7b50f1ea1695ddd13266411fcef2466c5a80d9a5b5","first_computed_at":"2026-05-29T02:05:42.638808Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T02:05:42.638808Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zvs165GbcBIZMMvBT0bjPBxzJEr8yF9YfvbM7qvTvt1p0khExmXJle7omVdnSN5SfZ3VleZlCWZ5wqZ4+zJGCg==","signature_status":"signed_v1","signed_at":"2026-05-29T02:05:42.639487Z","signed_message":"canonical_sha256_bytes"},"source_id":"2603.07916","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:53a5c4c9cab291d7bf1abd5915755b8fafd854ea047f8902dec88542d949f4d2","sha256:b0f1cc5783fbd01c0afb5eb53bed89fef5a02e04f27d6e93dbaa2fd7d6838c33"],"state_sha256":"ecc7c517729df7c190e9e980889786e4d7fe4498a093ebe5b2f66b650f5aad68"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MyawJpXX5qKzo3noorwT0c3/AHXMpiA+Bd8JivLH5SjdZi1RsFdlwNu42FBieTbS3U7A7jcS0lfwpE8hPcX+CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T19:28:10.329870Z","bundle_sha256":"a35148931127cf81ec692e83bd4ee50cc387f57f0608552c3f27f40de711eb50"}}