{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:LQVCIIPGUMQS673SVBXW4DCVKR","short_pith_number":"pith:LQVCIIPG","schema_version":"1.0","canonical_sha256":"5c2a2421e6a3212f7f72a86f6e0c55547cf53fe3914f650c613ce8225f185589","source":{"kind":"arxiv","id":"2607.27611","version":1},"attestation_state":"computed","paper":{"title":"AWARE-FX: An Auditable Knowledge-Guided AI System for Measuring Corporate Foreign-Exchange Hedging Disclosure","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-fin.RM"],"primary_cat":"cs.CL","authors_text":"Qi Wang","submitted_at":"2026-07-30T02:58:46Z","abstract_excerpt":"Corporate annual reports contain weakly structured evidence about foreign-exchange risk management, derivative use, natural hedging, and explicit non-use. This study develops AWARE-FX, an auditable AI/NLP decision-support system that converts report text into traceable firm-year hedging-disclosure measures. The system combines a professional-source lexicon, negation and accounting-status logic, channel-specific financial encoders, exact evidence gates, conservative aggregation, and an audit ledger. Across 24,909 Hong Kong firm-years from 2008-2025, it retrieves and scores 543,527 snippets. Rel"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.27611","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-30T02:58:46Z","cross_cats_sorted":["q-fin.RM"],"title_canon_sha256":"9a1dd8148d37921ac907412775527e22c4cf8e95094474462be5b7f7514e4b44","abstract_canon_sha256":"744fac669b721876b50f61c0f2042769b1236582643e8562e735d5290d917ba3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c2a2421e6a3212f7f72a86f6e0c55547cf53fe3914f650c613ce8225f185589","last_reissued_at":"2026-07-31T01:27:26.946878Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-31T01:27:26.946878Z"},"graph_snapshot":{"paper":{"title":"AWARE-FX: An Auditable Knowledge-Guided AI System for Measuring Corporate Foreign-Exchange Hedging Disclosure","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-fin.RM"],"primary_cat":"cs.CL","authors_text":"Qi Wang","submitted_at":"2026-07-30T02:58:46Z","abstract_excerpt":"Corporate annual reports contain weakly structured evidence about foreign-exchange risk management, derivative use, natural hedging, and explicit non-use. This study develops AWARE-FX, an auditable AI/NLP decision-support system that converts report text into traceable firm-year hedging-disclosure measures. The system combines a professional-source lexicon, negation and accounting-status logic, channel-specific financial encoders, exact evidence gates, conservative aggregation, and an audit ledger. Across 24,909 Hong Kong firm-years from 2008-2025, it retrieves and scores 543,527 snippets. Rel"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27611","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/2607.27611/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.27611","created_at":"2026-07-31T01:27:26.950140+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.27611v1","created_at":"2026-07-31T01:27:26.950140+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27611","created_at":"2026-07-31T01:27:26.950140+00:00"},{"alias_kind":"pith_short_12","alias_value":"LQVCIIPGUMQS","created_at":"2026-07-31T01:27:26.950140+00:00"},{"alias_kind":"pith_short_16","alias_value":"LQVCIIPGUMQS673S","created_at":"2026-07-31T01:27:26.950140+00:00"},{"alias_kind":"pith_short_8","alias_value":"LQVCIIPG","created_at":"2026-07-31T01:27:26.950140+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LQVCIIPGUMQS673SVBXW4DCVKR","json":"https://pith.science/pith/LQVCIIPGUMQS673SVBXW4DCVKR.json","graph_json":"https://pith.science/api/pith-number/LQVCIIPGUMQS673SVBXW4DCVKR/graph.json","events_json":"https://pith.science/api/pith-number/LQVCIIPGUMQS673SVBXW4DCVKR/events.json","paper":"https://pith.science/paper/LQVCIIPG"},"agent_actions":{"view_html":"https://pith.science/pith/LQVCIIPGUMQS673SVBXW4DCVKR","download_json":"https://pith.science/pith/LQVCIIPGUMQS673SVBXW4DCVKR.json","view_paper":"https://pith.science/paper/LQVCIIPG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.27611&json=true","fetch_graph":"https://pith.science/api/pith-number/LQVCIIPGUMQS673SVBXW4DCVKR/graph.json","fetch_events":"https://pith.science/api/pith-number/LQVCIIPGUMQS673SVBXW4DCVKR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LQVCIIPGUMQS673SVBXW4DCVKR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LQVCIIPGUMQS673SVBXW4DCVKR/action/storage_attestation","attest_author":"https://pith.science/pith/LQVCIIPGUMQS673SVBXW4DCVKR/action/author_attestation","sign_citation":"https://pith.science/pith/LQVCIIPGUMQS673SVBXW4DCVKR/action/citation_signature","submit_replication":"https://pith.science/pith/LQVCIIPGUMQS673SVBXW4DCVKR/action/replication_record"}},"created_at":"2026-07-31T01:27:26.950140+00:00","updated_at":"2026-07-31T01:27:26.950140+00:00"}