{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:H4WDRTOEJUPXL27AHW7OJUXDFY","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":"7c0789058a489e215035236074ed7e026cfa2d63898ab17bbbe33df347f06152","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-03-27T18:28:11Z","title_canon_sha256":"80e5295f402f25d260c1f65542c15ca36ab6d48b9627606fc700f69f583afa20"},"schema_version":"1.0","source":{"id":"2503.21902","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.21902","created_at":"2026-07-05T10:40:44Z"},{"alias_kind":"arxiv_version","alias_value":"2503.21902v1","created_at":"2026-07-05T10:40:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.21902","created_at":"2026-07-05T10:40:44Z"},{"alias_kind":"pith_short_12","alias_value":"H4WDRTOEJUPX","created_at":"2026-07-05T10:40:44Z"},{"alias_kind":"pith_short_16","alias_value":"H4WDRTOEJUPXL27A","created_at":"2026-07-05T10:40:44Z"},{"alias_kind":"pith_short_8","alias_value":"H4WDRTOE","created_at":"2026-07-05T10:40:44Z"}],"graph_snapshots":[{"event_id":"sha256:137852c956cb89a87cd7cc31b4b633cbbf6bc49a81818897b7ef3910aeef547e","target":"graph","created_at":"2026-07-05T10:40:44Z","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/2503.21902/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Ontology Alignment (OA) is fundamental for achieving semantic interoperability across diverse knowledge systems. We present OntoAligner, a comprehensive, modular, and robust Python toolkit for ontology alignment, designed to address current limitations with existing tools faced by practitioners. Existing tools are limited in scalability, modularity, and ease of integration with recent AI advances. OntoAligner provides a flexible architecture integrating existing lightweight OA techniques such as fuzzy matching but goes beyond by supporting contemporary methods with retrieval-augmented generati","authors_text":"Hamed Babaei Giglou, Jennifer D'Souza, Oliver Karras, S\\\"oren Auer","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-03-27T18:28:11Z","title":"OntoAligner: A Comprehensive Modular and Robust Python Toolkit for Ontology Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.21902","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":"sha256:577072b35141c30ae4b5ec3a0a0d564994fbfcbc25648b6be0d03b09c3175b05","target":"record","created_at":"2026-07-05T10:40:44Z","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":"7c0789058a489e215035236074ed7e026cfa2d63898ab17bbbe33df347f06152","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-03-27T18:28:11Z","title_canon_sha256":"80e5295f402f25d260c1f65542c15ca36ab6d48b9627606fc700f69f583afa20"},"schema_version":"1.0","source":{"id":"2503.21902","kind":"arxiv","version":1}},"canonical_sha256":"3f2c38cdc44d1f75ebe03dbee4d2e32e0e838e89c8f579fd655bbc108af30501","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3f2c38cdc44d1f75ebe03dbee4d2e32e0e838e89c8f579fd655bbc108af30501","first_computed_at":"2026-07-05T10:40:44.299173Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:40:44.299173Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8iK9yNRLHNWiF9bM57QBYIBLzRNeW2Tpb3kSVUXHVYgfKCgMXZ4HXbdRnvMnO2NfSge17uLDoAVJ2Mo7ivm9AA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:40:44.299666Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.21902","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:577072b35141c30ae4b5ec3a0a0d564994fbfcbc25648b6be0d03b09c3175b05","sha256:137852c956cb89a87cd7cc31b4b633cbbf6bc49a81818897b7ef3910aeef547e"],"state_sha256":"3201671026d0dd1220c0daccb11a64b0ac9db8e549cea12a86e284afadc11946"}