{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:P2TNDINXSUNRAECY6VH3CSWURM","short_pith_number":"pith:P2TNDINX","canonical_record":{"source":{"id":"2504.19023","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-04-26T21:20:29Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9d5011f452c081fa4bc91067e451caeb6bcdb1751a22041437a3b8f3b91d2b39","abstract_canon_sha256":"a4e0c3be46f608c99b7168e3ea80f95fca2377e1a95cae4cc91f01e3eca17c57"},"schema_version":"1.0"},"canonical_sha256":"7ea6d1a1b7951b101058f54fb14ad48b365ac8db2d7d4a0ff1fb7d1606f9ab8e","source":{"kind":"arxiv","id":"2504.19023","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.19023","created_at":"2026-07-05T10:54:50Z"},{"alias_kind":"arxiv_version","alias_value":"2504.19023v1","created_at":"2026-07-05T10:54:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.19023","created_at":"2026-07-05T10:54:50Z"},{"alias_kind":"pith_short_12","alias_value":"P2TNDINXSUNR","created_at":"2026-07-05T10:54:50Z"},{"alias_kind":"pith_short_16","alias_value":"P2TNDINXSUNRAECY","created_at":"2026-07-05T10:54:50Z"},{"alias_kind":"pith_short_8","alias_value":"P2TNDINX","created_at":"2026-07-05T10:54:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:P2TNDINXSUNRAECY6VH3CSWURM","target":"record","payload":{"canonical_record":{"source":{"id":"2504.19023","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-04-26T21:20:29Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9d5011f452c081fa4bc91067e451caeb6bcdb1751a22041437a3b8f3b91d2b39","abstract_canon_sha256":"a4e0c3be46f608c99b7168e3ea80f95fca2377e1a95cae4cc91f01e3eca17c57"},"schema_version":"1.0"},"canonical_sha256":"7ea6d1a1b7951b101058f54fb14ad48b365ac8db2d7d4a0ff1fb7d1606f9ab8e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:54:50.661513Z","signature_b64":"ZeGmCqOYeNCap2CMyDX33+QmDHn4FPGSPASWczVCWrM7ZjtffuDIE+xuht/D52ubV73Dqineiustemg7WzzuAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ea6d1a1b7951b101058f54fb14ad48b365ac8db2d7d4a0ff1fb7d1606f9ab8e","last_reissued_at":"2026-07-05T10:54:50.660844Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:54:50.660844Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.19023","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":"2026-07-05T10:54:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OJmXCHX6QMus08Xbng1stf31R+effaCLIbABt9alcmZEUTDC1fLIxM6nppqirm3KV5sJz8Jy6bBorj64TKGlBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T18:50:48.034344Z"},"content_sha256":"2d27e88c7c0deb2a3e216d04ae91a2c0aa4b32e77fbf7b9c53e682f4bac64964","schema_version":"1.0","event_id":"sha256:2d27e88c7c0deb2a3e216d04ae91a2c0aa4b32e77fbf7b9c53e682f4bac64964"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:P2TNDINXSUNRAECY6VH3CSWURM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GLaMoR: Consistency Checking of OWL Ontologies using Graph Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Ansgar Scherp, Justin M\\\"ucke","submitted_at":"2025-04-26T21:20:29Z","abstract_excerpt":"Semantic reasoning aims to infer new knowledge from existing knowledge, with OWL ontologies serving as a standardized framework for organizing information. A key challenge in semantic reasoning is verifying ontology consistency. However, state-of-the-art reasoners are computationally expensive, and their efficiency decreases as ontology sizes grow. While classical machine learning models have been explored for consistency checking, they struggle to capture complex relationships within ontologies. Large language models (LLMs) have shown promising results for simple reasoning tasks but perform p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.19023","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/2504.19023/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":"2026-07-05T10:54:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ed+nK/ONUE8me2nQTea33edrzYkJTmNbjEFAjDgpGtkk4cRKzBzxHMIOl6C+A8BxUaPSXyhwgyLeOITnsp8EAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T18:50:48.035023Z"},"content_sha256":"a4e20c8b333b2b9e248f33814cceb2b3bf4c71dd79fa3b02cce7f9ced8cafe60","schema_version":"1.0","event_id":"sha256:a4e20c8b333b2b9e248f33814cceb2b3bf4c71dd79fa3b02cce7f9ced8cafe60"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P2TNDINXSUNRAECY6VH3CSWURM/bundle.json","state_url":"https://pith.science/pith/P2TNDINXSUNRAECY6VH3CSWURM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P2TNDINXSUNRAECY6VH3CSWURM/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":"2026-08-19T18:50:48Z","links":{"resolver":"https://pith.science/pith/P2TNDINXSUNRAECY6VH3CSWURM","bundle":"https://pith.science/pith/P2TNDINXSUNRAECY6VH3CSWURM/bundle.json","state":"https://pith.science/pith/P2TNDINXSUNRAECY6VH3CSWURM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P2TNDINXSUNRAECY6VH3CSWURM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:P2TNDINXSUNRAECY6VH3CSWURM","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":"a4e0c3be46f608c99b7168e3ea80f95fca2377e1a95cae4cc91f01e3eca17c57","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-04-26T21:20:29Z","title_canon_sha256":"9d5011f452c081fa4bc91067e451caeb6bcdb1751a22041437a3b8f3b91d2b39"},"schema_version":"1.0","source":{"id":"2504.19023","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.19023","created_at":"2026-07-05T10:54:50Z"},{"alias_kind":"arxiv_version","alias_value":"2504.19023v1","created_at":"2026-07-05T10:54:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.19023","created_at":"2026-07-05T10:54:50Z"},{"alias_kind":"pith_short_12","alias_value":"P2TNDINXSUNR","created_at":"2026-07-05T10:54:50Z"},{"alias_kind":"pith_short_16","alias_value":"P2TNDINXSUNRAECY","created_at":"2026-07-05T10:54:50Z"},{"alias_kind":"pith_short_8","alias_value":"P2TNDINX","created_at":"2026-07-05T10:54:50Z"}],"graph_snapshots":[{"event_id":"sha256:a4e20c8b333b2b9e248f33814cceb2b3bf4c71dd79fa3b02cce7f9ced8cafe60","target":"graph","created_at":"2026-07-05T10:54:50Z","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/2504.19023/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semantic reasoning aims to infer new knowledge from existing knowledge, with OWL ontologies serving as a standardized framework for organizing information. A key challenge in semantic reasoning is verifying ontology consistency. However, state-of-the-art reasoners are computationally expensive, and their efficiency decreases as ontology sizes grow. While classical machine learning models have been explored for consistency checking, they struggle to capture complex relationships within ontologies. Large language models (LLMs) have shown promising results for simple reasoning tasks but perform p","authors_text":"Ansgar Scherp, Justin M\\\"ucke","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-04-26T21:20:29Z","title":"GLaMoR: Consistency Checking of OWL Ontologies using Graph Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.19023","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":"sha256:2d27e88c7c0deb2a3e216d04ae91a2c0aa4b32e77fbf7b9c53e682f4bac64964","target":"record","created_at":"2026-07-05T10:54:50Z","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":"a4e0c3be46f608c99b7168e3ea80f95fca2377e1a95cae4cc91f01e3eca17c57","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-04-26T21:20:29Z","title_canon_sha256":"9d5011f452c081fa4bc91067e451caeb6bcdb1751a22041437a3b8f3b91d2b39"},"schema_version":"1.0","source":{"id":"2504.19023","kind":"arxiv","version":1}},"canonical_sha256":"7ea6d1a1b7951b101058f54fb14ad48b365ac8db2d7d4a0ff1fb7d1606f9ab8e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7ea6d1a1b7951b101058f54fb14ad48b365ac8db2d7d4a0ff1fb7d1606f9ab8e","first_computed_at":"2026-07-05T10:54:50.660844Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:54:50.660844Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZeGmCqOYeNCap2CMyDX33+QmDHn4FPGSPASWczVCWrM7ZjtffuDIE+xuht/D52ubV73Dqineiustemg7WzzuAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:54:50.661513Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.19023","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2d27e88c7c0deb2a3e216d04ae91a2c0aa4b32e77fbf7b9c53e682f4bac64964","sha256:a4e20c8b333b2b9e248f33814cceb2b3bf4c71dd79fa3b02cce7f9ced8cafe60"],"state_sha256":"5019ab980b1ae8a808ed74cf00518932886f0f7695e0f3c445f5558d6e07aea3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IRIknX3ztQAFz9MoTHT8fA90WsHVjYJJ1Su6XuT7o70PqzzxyyJQITLyFYXOHgelPVCRVDzflQGxGepYjPwSDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T18:50:48.040053Z","bundle_sha256":"284e1021d1b07d9a49f59a154f1037a2958628806548398959bbb6fb57f5ad28"}}