{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:4OLGJHJQUISPACOJWH6EDLBJB7","short_pith_number":"pith:4OLGJHJQ","schema_version":"1.0","canonical_sha256":"e396649d30a224f009c9b1fc41ac290fe8ae07d80a644d1f875fdcd20b9869ac","source":{"kind":"arxiv","id":"2606.08926","version":1},"attestation_state":"computed","paper":{"title":"PROBE-Web: An Interactive System for Probing Evaluation Landscapes of Knowledge Graph Completion Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Sooho Moon, Yunyong Ko","submitted_at":"2026-06-08T02:08:23Z","abstract_excerpt":"Knowledge graph completion (KGC) models are commonly evaluated using rank-based metrics such as MRR and Hits@K, despite different users often requiring different evaluation perspectives. In this demo, we present PROBE-Web, an interactive system for probing diverse evaluation landscapes for KGC models. PROBE-Web enables users to flexibly evaluate KGC models by adjusting two critical perspectives: (P1) predictive sharpness and (P2) popularity-bias robustness. Through a user-friendly GUI, users easily evaluate multiple KGC models and analyze their strengths and weaknesses. PROBE-Web provides four"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.08926","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-08T02:08:23Z","cross_cats_sorted":[],"title_canon_sha256":"ea55bbf99988ca5dc05e2370baea2147a651b8f785230f596ec6611a80ce1b3d","abstract_canon_sha256":"ebf25ec7c1acf97702b72331b5a47136352f9949bb5f1410b82249a7a86e1777"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T02:07:47.712905Z","signature_b64":"ZyDT+BuekKxhbkw5Uz9viAWFoEKIrafIPUcJEsaVzmJr4XP1vhvE0n9D81+Q+dyqJEjDSJX0AQhrQBGNkmNDCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e396649d30a224f009c9b1fc41ac290fe8ae07d80a644d1f875fdcd20b9869ac","last_reissued_at":"2026-06-09T02:07:47.712011Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T02:07:47.712011Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PROBE-Web: An Interactive System for Probing Evaluation Landscapes of Knowledge Graph Completion Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Sooho Moon, Yunyong Ko","submitted_at":"2026-06-08T02:08:23Z","abstract_excerpt":"Knowledge graph completion (KGC) models are commonly evaluated using rank-based metrics such as MRR and Hits@K, despite different users often requiring different evaluation perspectives. In this demo, we present PROBE-Web, an interactive system for probing diverse evaluation landscapes for KGC models. PROBE-Web enables users to flexibly evaluate KGC models by adjusting two critical perspectives: (P1) predictive sharpness and (P2) popularity-bias robustness. Through a user-friendly GUI, users easily evaluate multiple KGC models and analyze their strengths and weaknesses. PROBE-Web provides four"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.08926","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/2606.08926/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.08926","created_at":"2026-06-09T02:07:47.712152+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.08926v1","created_at":"2026-06-09T02:07:47.712152+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.08926","created_at":"2026-06-09T02:07:47.712152+00:00"},{"alias_kind":"pith_short_12","alias_value":"4OLGJHJQUISP","created_at":"2026-06-09T02:07:47.712152+00:00"},{"alias_kind":"pith_short_16","alias_value":"4OLGJHJQUISPACOJ","created_at":"2026-06-09T02:07:47.712152+00:00"},{"alias_kind":"pith_short_8","alias_value":"4OLGJHJQ","created_at":"2026-06-09T02:07:47.712152+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4OLGJHJQUISPACOJWH6EDLBJB7","json":"https://pith.science/pith/4OLGJHJQUISPACOJWH6EDLBJB7.json","graph_json":"https://pith.science/api/pith-number/4OLGJHJQUISPACOJWH6EDLBJB7/graph.json","events_json":"https://pith.science/api/pith-number/4OLGJHJQUISPACOJWH6EDLBJB7/events.json","paper":"https://pith.science/paper/4OLGJHJQ"},"agent_actions":{"view_html":"https://pith.science/pith/4OLGJHJQUISPACOJWH6EDLBJB7","download_json":"https://pith.science/pith/4OLGJHJQUISPACOJWH6EDLBJB7.json","view_paper":"https://pith.science/paper/4OLGJHJQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.08926&json=true","fetch_graph":"https://pith.science/api/pith-number/4OLGJHJQUISPACOJWH6EDLBJB7/graph.json","fetch_events":"https://pith.science/api/pith-number/4OLGJHJQUISPACOJWH6EDLBJB7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4OLGJHJQUISPACOJWH6EDLBJB7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4OLGJHJQUISPACOJWH6EDLBJB7/action/storage_attestation","attest_author":"https://pith.science/pith/4OLGJHJQUISPACOJWH6EDLBJB7/action/author_attestation","sign_citation":"https://pith.science/pith/4OLGJHJQUISPACOJWH6EDLBJB7/action/citation_signature","submit_replication":"https://pith.science/pith/4OLGJHJQUISPACOJWH6EDLBJB7/action/replication_record"}},"created_at":"2026-06-09T02:07:47.712152+00:00","updated_at":"2026-06-09T02:07:47.712152+00:00"}