{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:Q2MBXXHUKOCFFWWPUFZ7KHFA6L","short_pith_number":"pith:Q2MBXXHU","canonical_record":{"source":{"id":"2211.10030","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-18T05:01:19Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0b935c4af7c9f4dbb8794e74b8a947a2a90af8f206d53ab5c87d3922264ea00b","abstract_canon_sha256":"89aace77a33e23d0722bc41ab5bc6bdff5fdea701bb5e4cc821a6deabd549c55"},"schema_version":"1.0"},"canonical_sha256":"86981bdcf4538452dacfa173f51ca0f2c2ca49daa772a099dd664a23d8ed53a3","source":{"kind":"arxiv","id":"2211.10030","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.10030","created_at":"2026-07-05T05:17:17Z"},{"alias_kind":"arxiv_version","alias_value":"2211.10030v1","created_at":"2026-07-05T05:17:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.10030","created_at":"2026-07-05T05:17:17Z"},{"alias_kind":"pith_short_12","alias_value":"Q2MBXXHUKOCF","created_at":"2026-07-05T05:17:17Z"},{"alias_kind":"pith_short_16","alias_value":"Q2MBXXHUKOCFFWWP","created_at":"2026-07-05T05:17:17Z"},{"alias_kind":"pith_short_8","alias_value":"Q2MBXXHU","created_at":"2026-07-05T05:17:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:Q2MBXXHUKOCFFWWPUFZ7KHFA6L","target":"record","payload":{"canonical_record":{"source":{"id":"2211.10030","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-18T05:01:19Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0b935c4af7c9f4dbb8794e74b8a947a2a90af8f206d53ab5c87d3922264ea00b","abstract_canon_sha256":"89aace77a33e23d0722bc41ab5bc6bdff5fdea701bb5e4cc821a6deabd549c55"},"schema_version":"1.0"},"canonical_sha256":"86981bdcf4538452dacfa173f51ca0f2c2ca49daa772a099dd664a23d8ed53a3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:17:17.504409Z","signature_b64":"qgl3EAQ6khX+5B02lZxT+r1HS3RU9yW6uhS21K5uhL7nJdslW7dGOy2WjyUQ5mRkKP2F6UdfB83ZRvcsiWkNAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"86981bdcf4538452dacfa173f51ca0f2c2ca49daa772a099dd664a23d8ed53a3","last_reissued_at":"2026-07-05T05:17:17.503979Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:17:17.503979Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.10030","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:17:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RESRo/54J5QzmdIc8A6kNOZrgKlEsnLxnFJXqkHOn7cXcB1N7No+bgss51zV4ldZC6vc1ZLTz05AIyjHKv8UDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T15:44:18.472271Z"},"content_sha256":"d65da61ee0427e54a22870c90dccab56c3953a2185269581ce7315a55b601895","schema_version":"1.0","event_id":"sha256:d65da61ee0427e54a22870c90dccab56c3953a2185269581ce7315a55b601895"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:Q2MBXXHUKOCFFWWPUFZ7KHFA6L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Contrastive Knowledge Graph Error Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Junnan Dong, Keyu Duan, Linchuan Xu, Qinggang Zhang, Xiao Huang, Yezi Liu","submitted_at":"2022-11-18T05:01:19Z","abstract_excerpt":"Knowledge Graph (KG) errors introduce non-negligible noise, severely affecting KG-related downstream tasks. Detecting errors in KGs is challenging since the patterns of errors are unknown and diverse, while ground-truth labels are rare or even unavailable. A traditional solution is to construct logical rules to verify triples, but it is not generalizable since different KGs have distinct rules with domain knowledge involved. Recent studies focus on designing tailored detectors or ranking triples based on KG embedding loss. However, they all rely on negative samples for training, which are gene"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.10030","kind":"arxiv","version":1},"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/2211.10030/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":"2026-07-05T05:17:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QgRpZYlhBVGLPCorJFgg6c3BNPq75GQFApTeUuRhqd0+qkNzvc7BKaIL0c390jxogvNa5FoNFeCy7DJLPfAvAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T15:44:18.472768Z"},"content_sha256":"d9f6c7317811285f85564efae1ef7d87e767a2f1ef3e8621b1ffdf270f39215a","schema_version":"1.0","event_id":"sha256:d9f6c7317811285f85564efae1ef7d87e767a2f1ef3e8621b1ffdf270f39215a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Q2MBXXHUKOCFFWWPUFZ7KHFA6L/bundle.json","state_url":"https://pith.science/pith/Q2MBXXHUKOCFFWWPUFZ7KHFA6L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Q2MBXXHUKOCFFWWPUFZ7KHFA6L/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":"2026-08-22T15:44:18Z","links":{"resolver":"https://pith.science/pith/Q2MBXXHUKOCFFWWPUFZ7KHFA6L","bundle":"https://pith.science/pith/Q2MBXXHUKOCFFWWPUFZ7KHFA6L/bundle.json","state":"https://pith.science/pith/Q2MBXXHUKOCFFWWPUFZ7KHFA6L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Q2MBXXHUKOCFFWWPUFZ7KHFA6L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:Q2MBXXHUKOCFFWWPUFZ7KHFA6L","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":"89aace77a33e23d0722bc41ab5bc6bdff5fdea701bb5e4cc821a6deabd549c55","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-18T05:01:19Z","title_canon_sha256":"0b935c4af7c9f4dbb8794e74b8a947a2a90af8f206d53ab5c87d3922264ea00b"},"schema_version":"1.0","source":{"id":"2211.10030","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.10030","created_at":"2026-07-05T05:17:17Z"},{"alias_kind":"arxiv_version","alias_value":"2211.10030v1","created_at":"2026-07-05T05:17:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.10030","created_at":"2026-07-05T05:17:17Z"},{"alias_kind":"pith_short_12","alias_value":"Q2MBXXHUKOCF","created_at":"2026-07-05T05:17:17Z"},{"alias_kind":"pith_short_16","alias_value":"Q2MBXXHUKOCFFWWP","created_at":"2026-07-05T05:17:17Z"},{"alias_kind":"pith_short_8","alias_value":"Q2MBXXHU","created_at":"2026-07-05T05:17:17Z"}],"graph_snapshots":[{"event_id":"sha256:d9f6c7317811285f85564efae1ef7d87e767a2f1ef3e8621b1ffdf270f39215a","target":"graph","created_at":"2026-07-05T05:17:17Z","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/2211.10030/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge Graph (KG) errors introduce non-negligible noise, severely affecting KG-related downstream tasks. Detecting errors in KGs is challenging since the patterns of errors are unknown and diverse, while ground-truth labels are rare or even unavailable. A traditional solution is to construct logical rules to verify triples, but it is not generalizable since different KGs have distinct rules with domain knowledge involved. Recent studies focus on designing tailored detectors or ranking triples based on KG embedding loss. However, they all rely on negative samples for training, which are gene","authors_text":"Junnan Dong, Keyu Duan, Linchuan Xu, Qinggang Zhang, Xiao Huang, Yezi Liu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-18T05:01:19Z","title":"Contrastive Knowledge Graph Error Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.10030","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:d65da61ee0427e54a22870c90dccab56c3953a2185269581ce7315a55b601895","target":"record","created_at":"2026-07-05T05:17:17Z","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":"89aace77a33e23d0722bc41ab5bc6bdff5fdea701bb5e4cc821a6deabd549c55","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-18T05:01:19Z","title_canon_sha256":"0b935c4af7c9f4dbb8794e74b8a947a2a90af8f206d53ab5c87d3922264ea00b"},"schema_version":"1.0","source":{"id":"2211.10030","kind":"arxiv","version":1}},"canonical_sha256":"86981bdcf4538452dacfa173f51ca0f2c2ca49daa772a099dd664a23d8ed53a3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"86981bdcf4538452dacfa173f51ca0f2c2ca49daa772a099dd664a23d8ed53a3","first_computed_at":"2026-07-05T05:17:17.503979Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:17:17.503979Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qgl3EAQ6khX+5B02lZxT+r1HS3RU9yW6uhS21K5uhL7nJdslW7dGOy2WjyUQ5mRkKP2F6UdfB83ZRvcsiWkNAw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:17:17.504409Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.10030","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d65da61ee0427e54a22870c90dccab56c3953a2185269581ce7315a55b601895","sha256:d9f6c7317811285f85564efae1ef7d87e767a2f1ef3e8621b1ffdf270f39215a"],"state_sha256":"07d0bedd2a7e93314ff42bf16c094833403d7eb6d86a29deeebd5c8f64671d2b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GJoD6NB+8q7gqUZn/PtUv3l1BoM9Iyjug+USuj0e1ZcY5JjfrJnZ1VWd7WDmWi+e3UlBP3OS8R+M0huTzzz+Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T15:44:18.476973Z","bundle_sha256":"45e38fdc431853732fc72a0b46d5e50e144f1df5554342f021c880431187181d"}}