{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:XLDCQDWQIKXVWY23E72UWODETQ","short_pith_number":"pith:XLDCQDWQ","canonical_record":{"source":{"id":"1805.11603","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-29T17:41:52Z","cross_cats_sorted":[],"title_canon_sha256":"ca179bc8eb39654fde017a95321c659a711436d23717b6264dd7c9748cbfcf1c","abstract_canon_sha256":"4d42513f97ef9d3e3a6ac571f274bf4e2c091fe45d9398bc858ccb0e860bf917"},"schema_version":"1.0"},"canonical_sha256":"bac6280ed042af5b635b27f54b38649c05318d758b41421efc05b052ea0b5f0c","source":{"kind":"arxiv","id":"1805.11603","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.11603","created_at":"2026-05-18T00:14:41Z"},{"alias_kind":"arxiv_version","alias_value":"1805.11603v1","created_at":"2026-05-18T00:14:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.11603","created_at":"2026-05-18T00:14:41Z"},{"alias_kind":"pith_short_12","alias_value":"XLDCQDWQIKXV","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XLDCQDWQIKXVWY23","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XLDCQDWQ","created_at":"2026-05-18T12:33:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:XLDCQDWQIKXVWY23E72UWODETQ","target":"record","payload":{"canonical_record":{"source":{"id":"1805.11603","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-29T17:41:52Z","cross_cats_sorted":[],"title_canon_sha256":"ca179bc8eb39654fde017a95321c659a711436d23717b6264dd7c9748cbfcf1c","abstract_canon_sha256":"4d42513f97ef9d3e3a6ac571f274bf4e2c091fe45d9398bc858ccb0e860bf917"},"schema_version":"1.0"},"canonical_sha256":"bac6280ed042af5b635b27f54b38649c05318d758b41421efc05b052ea0b5f0c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:41.879230Z","signature_b64":"EbqgMinB0vxoEDfOaIU8RjjW71x06+fmq0079WXwqjE57qnC9FlZw2Pc9DEpPFpR+1YeNxHnTNXbkpSpZTgHAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bac6280ed042af5b635b27f54b38649c05318d758b41421efc05b052ea0b5f0c","last_reissued_at":"2026-05-18T00:14:41.878598Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:41.878598Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.11603","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":"2026-05-18T00:14:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6xmo8gOxMFvFqrLGiT7pXl5qjsXKVJYN0V9RGCdAJBxXCJVMllQ732oyGElvf12FQOU67ZKZcdXwtEXJ/dukCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T23:59:25.471405Z"},"content_sha256":"68f0f16d20429d771176af9c7335ff3970c1d9fb07cf25ef9f443e2ae47d34fd","schema_version":"1.0","event_id":"sha256:68f0f16d20429d771176af9c7335ff3970c1d9fb07cf25ef9f443e2ae47d34fd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:XLDCQDWQIKXVWY23E72UWODETQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automatic Identification of Arabic expressions related to future events in Lebanon's economy","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Amani Sabra, Moustafa Al-Hajj","submitted_at":"2018-05-29T17:41:52Z","abstract_excerpt":"In this paper, we propose a method to automatically identify future events in Lebanon's economy from Arabic texts. Challenges are threefold: first, we need to build a corpus of Arabic texts that covers Lebanon's economy; second, we need to study how future events are expressed linguistically in these texts; and third, we need to automatically identify the relevant textual segments accordingly. We will validate this method on a constructed corpus form the web and show that it has very promising results. To do so, we will be using SLCSAS, a system for semantic analysis, based on the Contextual E"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.11603","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":""},"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":"2026-05-18T00:14:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5v43Wg6TbS55o7mkNkxRjzqQpXKLy76wiKpDdELa1Idf04O7bKEaw/uf13oyf2KzoYPVGLTeLu8C+zaORqJ7Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T23:59:25.471789Z"},"content_sha256":"3acb4db666770f81570539735b08f00e17ca09cc594b5de2b5da06b2ed861528","schema_version":"1.0","event_id":"sha256:3acb4db666770f81570539735b08f00e17ca09cc594b5de2b5da06b2ed861528"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XLDCQDWQIKXVWY23E72UWODETQ/bundle.json","state_url":"https://pith.science/pith/XLDCQDWQIKXVWY23E72UWODETQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XLDCQDWQIKXVWY23E72UWODETQ/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":"2026-08-20T23:59:25Z","links":{"resolver":"https://pith.science/pith/XLDCQDWQIKXVWY23E72UWODETQ","bundle":"https://pith.science/pith/XLDCQDWQIKXVWY23E72UWODETQ/bundle.json","state":"https://pith.science/pith/XLDCQDWQIKXVWY23E72UWODETQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XLDCQDWQIKXVWY23E72UWODETQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:XLDCQDWQIKXVWY23E72UWODETQ","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":"4d42513f97ef9d3e3a6ac571f274bf4e2c091fe45d9398bc858ccb0e860bf917","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-29T17:41:52Z","title_canon_sha256":"ca179bc8eb39654fde017a95321c659a711436d23717b6264dd7c9748cbfcf1c"},"schema_version":"1.0","source":{"id":"1805.11603","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.11603","created_at":"2026-05-18T00:14:41Z"},{"alias_kind":"arxiv_version","alias_value":"1805.11603v1","created_at":"2026-05-18T00:14:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.11603","created_at":"2026-05-18T00:14:41Z"},{"alias_kind":"pith_short_12","alias_value":"XLDCQDWQIKXV","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XLDCQDWQIKXVWY23","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XLDCQDWQ","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:3acb4db666770f81570539735b08f00e17ca09cc594b5de2b5da06b2ed861528","target":"graph","created_at":"2026-05-18T00:14:41Z","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"},"paper":{"abstract_excerpt":"In this paper, we propose a method to automatically identify future events in Lebanon's economy from Arabic texts. Challenges are threefold: first, we need to build a corpus of Arabic texts that covers Lebanon's economy; second, we need to study how future events are expressed linguistically in these texts; and third, we need to automatically identify the relevant textual segments accordingly. We will validate this method on a constructed corpus form the web and show that it has very promising results. To do so, we will be using SLCSAS, a system for semantic analysis, based on the Contextual E","authors_text":"Amani Sabra, Moustafa Al-Hajj","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-29T17:41:52Z","title":"Automatic Identification of Arabic expressions related to future events in Lebanon's economy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.11603","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":"sha256:68f0f16d20429d771176af9c7335ff3970c1d9fb07cf25ef9f443e2ae47d34fd","target":"record","created_at":"2026-05-18T00:14:41Z","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":"4d42513f97ef9d3e3a6ac571f274bf4e2c091fe45d9398bc858ccb0e860bf917","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-29T17:41:52Z","title_canon_sha256":"ca179bc8eb39654fde017a95321c659a711436d23717b6264dd7c9748cbfcf1c"},"schema_version":"1.0","source":{"id":"1805.11603","kind":"arxiv","version":1}},"canonical_sha256":"bac6280ed042af5b635b27f54b38649c05318d758b41421efc05b052ea0b5f0c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bac6280ed042af5b635b27f54b38649c05318d758b41421efc05b052ea0b5f0c","first_computed_at":"2026-05-18T00:14:41.878598Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:41.878598Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EbqgMinB0vxoEDfOaIU8RjjW71x06+fmq0079WXwqjE57qnC9FlZw2Pc9DEpPFpR+1YeNxHnTNXbkpSpZTgHAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:41.879230Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.11603","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:68f0f16d20429d771176af9c7335ff3970c1d9fb07cf25ef9f443e2ae47d34fd","sha256:3acb4db666770f81570539735b08f00e17ca09cc594b5de2b5da06b2ed861528"],"state_sha256":"7435aa847b7ca503c31d142d023da0bef6904149f39a39d49e3cadc00c5ca471"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oRFyCu3qV0yl39sipedAOZu8aB+DaoFiCFFteVlh3Ez0x4WI88usN333uS5QMdS6hMzGrXTIxWQPxa9ZXFnlAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T23:59:25.474669Z","bundle_sha256":"4f59da51067c8d9d3de02485cfe285b56151e3e857dbf0aea38aa1459759e75a"}}