{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:AKPFCODSH26FYYNV3DWV4X3N2N","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":"65f09a612309691192ac4d02791516c587354417d3f5e738e6f15dc4788a233d","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DL","submitted_at":"2026-07-20T12:48:41Z","title_canon_sha256":"9a40924ccb4a3df64d22578fc8deed19ecb987560a431d632a2754b0f9ae814a"},"schema_version":"1.0","source":{"id":"2607.17902","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.17902","created_at":"2026-07-21T02:22:05Z"},{"alias_kind":"arxiv_version","alias_value":"2607.17902v1","created_at":"2026-07-21T02:22:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.17902","created_at":"2026-07-21T02:22:05Z"},{"alias_kind":"pith_short_12","alias_value":"AKPFCODSH26F","created_at":"2026-07-21T02:22:05Z"},{"alias_kind":"pith_short_16","alias_value":"AKPFCODSH26FYYNV","created_at":"2026-07-21T02:22:05Z"},{"alias_kind":"pith_short_8","alias_value":"AKPFCODS","created_at":"2026-07-21T02:22:05Z"}],"graph_snapshots":[{"event_id":"sha256:d91a19fc6b886d0ba232371342f865f1327194e3c03d9635d066ec65f27313b3","target":"graph","created_at":"2026-07-21T02:22:05Z","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/2607.17902/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge Organization Systems like Ontologies and taxonomies are fundamental for structuring scientific knowledge, yet their manual curation presents a persistent bottleneck in knowledge management. While Large Language Models (LLMs) offer a scalable mechanism for automated ontology generation, their capacity to classify complex, domain-specific semantics requires systematic evaluation. In this paper, we assess the performance of five small, open-source LLMs (up to 9 billion parameters) in identifying semantic relationships between biomedical concepts. To support this evaluation, we introduce","authors_text":"Angelo Salatino, Enrico Motta, Francesco Osborne, Tanay Aggarwal","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DL","submitted_at":"2026-07-20T12:48:41Z","title":"Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.17902","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:d07c1e55b9e03907db254a9ded57aa7077314d5c04f71f4f2049df9df1082b9e","target":"record","created_at":"2026-07-21T02:22:05Z","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":"65f09a612309691192ac4d02791516c587354417d3f5e738e6f15dc4788a233d","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DL","submitted_at":"2026-07-20T12:48:41Z","title_canon_sha256":"9a40924ccb4a3df64d22578fc8deed19ecb987560a431d632a2754b0f9ae814a"},"schema_version":"1.0","source":{"id":"2607.17902","kind":"arxiv","version":1}},"canonical_sha256":"029e5138723ebc5c61b5d8ed5e5f6dd34088ec63d881f951c536f1a8145b7599","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"029e5138723ebc5c61b5d8ed5e5f6dd34088ec63d881f951c536f1a8145b7599","first_computed_at":"2026-07-21T02:22:05.779267Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-21T02:22:05.779267Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LBr/cRRS4nM6a4oGTPLETXANDKKoZPx4VSkNMca2DhOgctFJHPoU0B2fVt9N6gJRzgIXbR0J4tJccD+wYzeOAQ==","signature_status":"signed_v1","signed_at":"2026-07-21T02:22:05.780163Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.17902","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d07c1e55b9e03907db254a9ded57aa7077314d5c04f71f4f2049df9df1082b9e","sha256:d91a19fc6b886d0ba232371342f865f1327194e3c03d9635d066ec65f27313b3"],"state_sha256":"93954ad2641bb1037a3d60b04e4df3611384a480db162a569d58b789a98c6b37"}