{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:IPKLH3TLFPYAZQHKJJ7VL76OCH","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":"7c1f4b40c799530cb3d98883fbaa5404af13426d7e4d48c566f7af684cc58dd7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-05T13:45:45Z","title_canon_sha256":"8855c7e87a33a1739d7b7c3ab0950ad7b779ca4d7fb69c286b8d775692ed97a3"},"schema_version":"1.0","source":{"id":"2306.02871","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.02871","created_at":"2026-07-05T06:17:32Z"},{"alias_kind":"arxiv_version","alias_value":"2306.02871v1","created_at":"2026-07-05T06:17:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.02871","created_at":"2026-07-05T06:17:32Z"},{"alias_kind":"pith_short_12","alias_value":"IPKLH3TLFPYA","created_at":"2026-07-05T06:17:32Z"},{"alias_kind":"pith_short_16","alias_value":"IPKLH3TLFPYAZQHK","created_at":"2026-07-05T06:17:32Z"},{"alias_kind":"pith_short_8","alias_value":"IPKLH3TL","created_at":"2026-07-05T06:17:32Z"}],"graph_snapshots":[{"event_id":"sha256:18c5ebfa3746e7c7c89ce58da845db9e628e0238e977cab541452cfa1fa23b2c","target":"graph","created_at":"2026-07-05T06:17:32Z","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/2306.02871/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In contrast to large text corpora, knowledge graphs (KG) provide dense and structured representations of factual information. This makes them attractive for systems that supplement or ground the knowledge found in pre-trained language models with an external knowledge source. This has especially been the case for classification tasks, where recent work has focused on creating pipeline models that retrieve information from KGs like ConceptNet as additional context. Many of these models consist of multiple components, and although they differ in the number and nature of these parts, they all hav","authors_text":"Erik Velldal, Lilja {\\O}vrelid, Sondre Wold","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-05T13:45:45Z","title":"Text-To-KG Alignment: Comparing Current Methods on Classification Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.02871","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":"sha256:97d442253d9201a203937f41eba6f0d51877729fb0e54e02819ce9e323c6cf36","target":"record","created_at":"2026-07-05T06:17:32Z","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":"7c1f4b40c799530cb3d98883fbaa5404af13426d7e4d48c566f7af684cc58dd7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-05T13:45:45Z","title_canon_sha256":"8855c7e87a33a1739d7b7c3ab0950ad7b779ca4d7fb69c286b8d775692ed97a3"},"schema_version":"1.0","source":{"id":"2306.02871","kind":"arxiv","version":1}},"canonical_sha256":"43d4b3ee6b2bf00cc0ea4a7f55ffce11dda7cde4310824255e91c6efc32a13f6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"43d4b3ee6b2bf00cc0ea4a7f55ffce11dda7cde4310824255e91c6efc32a13f6","first_computed_at":"2026-07-05T06:17:32.270776Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:17:32.270776Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f8P9xXYU3WGFegFwxAe/s4UnYxJFQdDRRAiUzZvSDTY+KFiR52K3XXVxgnRESadMEyfhr61Oz66bFwdJkzMfDw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:17:32.271180Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.02871","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:97d442253d9201a203937f41eba6f0d51877729fb0e54e02819ce9e323c6cf36","sha256:18c5ebfa3746e7c7c89ce58da845db9e628e0238e977cab541452cfa1fa23b2c"],"state_sha256":"42116ca93364b88680c4e1852ecec9d11214f53572b335a9ae4301fdfdd80270"}