{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XTF2437OOPI74XMZALGBYNK2KR","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":"be1e3c1133d2f935eccbdec7e341ce2f8a2bb549e29181e9e77048b15e7cb8a6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-26T11:52:27Z","title_canon_sha256":"616ada5014e1ba0b0ff32a6fb0eef1b480790b889bfe9f9ad5140bb351e41d27"},"schema_version":"1.0","source":{"id":"2606.28457","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.28457","created_at":"2026-06-30T00:15:14Z"},{"alias_kind":"arxiv_version","alias_value":"2606.28457v1","created_at":"2026-06-30T00:15:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.28457","created_at":"2026-06-30T00:15:14Z"},{"alias_kind":"pith_short_12","alias_value":"XTF2437OOPI7","created_at":"2026-06-30T00:15:14Z"},{"alias_kind":"pith_short_16","alias_value":"XTF2437OOPI74XMZ","created_at":"2026-06-30T00:15:14Z"},{"alias_kind":"pith_short_8","alias_value":"XTF2437O","created_at":"2026-06-30T00:15:14Z"}],"graph_snapshots":[{"event_id":"sha256:4746622847eaa24eaf84a59adcd35e2db9e5614ddd82ad3578e5c3c6ddaac718","target":"graph","created_at":"2026-06-30T00:15:14Z","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/2606.28457/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Natural language processing (NLP) applications need large and rich amount of linguistic knowledge. Furthermore, electronic language sources such as dictionaries, encyclopedia, and corpora became available. So, automatic methods are emerged to extract lexical information from those sources to overcome the knowledge acquisition bottleneck. We presented a method to automatically extract lexical information from a machine-readable version of the Arabic-English Al-Mawrid dictionary. We used n-gram analysis and key-word-in-context (KWIC) analysis to discover lexical patterns that manifest morphologi","authors_text":"Aly A. Fahmy, Diaa M. Fayed, Mohsen A. Rashwan, Wafaa K. Fayed","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-26T11:52:27Z","title":"Extracting Knowledge from an Arabic-English Machine-Readable Dictionary Using Information Extraction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.28457","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:d2e37fbface7afbe0c6fe87e5c8d63dbe94f55ed5bd1e0a6e08b420caa6febb4","target":"record","created_at":"2026-06-30T00:15:14Z","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":"be1e3c1133d2f935eccbdec7e341ce2f8a2bb549e29181e9e77048b15e7cb8a6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-26T11:52:27Z","title_canon_sha256":"616ada5014e1ba0b0ff32a6fb0eef1b480790b889bfe9f9ad5140bb351e41d27"},"schema_version":"1.0","source":{"id":"2606.28457","kind":"arxiv","version":1}},"canonical_sha256":"bccbae6fee73d1fe5d9902cc1c355a544c250cb1481de10178ce6c994504749c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bccbae6fee73d1fe5d9902cc1c355a544c250cb1481de10178ce6c994504749c","first_computed_at":"2026-06-30T00:15:14.797642Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T00:15:14.797642Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bzPTcpUj7vyVgCssSaRVfefBzjh5EJI3OKbuoo+vR5CaakhLu1OOcMFVc4ZaAkiRXldL1M/4ncc2w3bMDWjaCA==","signature_status":"signed_v1","signed_at":"2026-06-30T00:15:14.798039Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.28457","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d2e37fbface7afbe0c6fe87e5c8d63dbe94f55ed5bd1e0a6e08b420caa6febb4","sha256:4746622847eaa24eaf84a59adcd35e2db9e5614ddd82ad3578e5c3c6ddaac718"],"state_sha256":"d0612ba3d9912312820c97e12158091359cd6d997e2a7cffab0d02203f96e521"}