{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:CXOWQZVBATJP72AIYARMTKNQSL","short_pith_number":"pith:CXOWQZVB","schema_version":"1.0","canonical_sha256":"15dd6866a104d2ffe808c022c9a9b092eb549ff59bee3c40d89ecc97f3deb201","source":{"kind":"arxiv","id":"2607.01023","version":1},"attestation_state":"computed","paper":{"title":"Evidence-Supported Credit Risk Report Generation Using News-Centric Financial Knowledge Graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Oscar Araque, Rocio Jimenez-Villen, Ryutaro Ichise, Ying Chen, Ziwei Xu","submitted_at":"2026-07-01T14:56:27Z","abstract_excerpt":"Financial markets evolve in response to real-world events reported in news, yet these drivers often remain implicit in text. To better explain market dynamics, event-market relations must be explicitly modeled through factual, company-centric, and environment-aware knowledge graphs. We present FinKG-News, a framework that automatically constructs such graphs by extracting news events as anchors linked to companies. Using FinKG-News as grounded evidence that integrates events, news, and company data, we develop an in-context learning architecture for credit risk report generation across three c"},"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":"2607.01023","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-01T14:56:27Z","cross_cats_sorted":[],"title_canon_sha256":"e4a6379bf5fadf64386104aa295900c40f3aca6ebc84e1e9d3f61f2ab1b928d1","abstract_canon_sha256":"fe6c039d193ea22fb66a6d62370a55a6bcbffbf339c9ae1387a995e1acfa7b3f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-02T01:18:26.271714Z","signature_b64":"7LvvlTVKZLZsE1UWZGu85phX/waBNlNmQ+0ldvfN6ysxAgt/9raS5ZCATSpI3UVtpo/PLn4mIDrX0r86aSxlAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"15dd6866a104d2ffe808c022c9a9b092eb549ff59bee3c40d89ecc97f3deb201","last_reissued_at":"2026-07-02T01:18:26.271277Z","signature_status":"signed_v1","first_computed_at":"2026-07-02T01:18:26.271277Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Evidence-Supported Credit Risk Report Generation Using News-Centric Financial Knowledge Graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Oscar Araque, Rocio Jimenez-Villen, Ryutaro Ichise, Ying Chen, Ziwei Xu","submitted_at":"2026-07-01T14:56:27Z","abstract_excerpt":"Financial markets evolve in response to real-world events reported in news, yet these drivers often remain implicit in text. To better explain market dynamics, event-market relations must be explicitly modeled through factual, company-centric, and environment-aware knowledge graphs. We present FinKG-News, a framework that automatically constructs such graphs by extracting news events as anchors linked to companies. Using FinKG-News as grounded evidence that integrates events, news, and company data, we develop an in-context learning architecture for credit risk report generation across three c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01023","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/2607.01023/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":"2607.01023","created_at":"2026-07-02T01:18:26.271348+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.01023v1","created_at":"2026-07-02T01:18:26.271348+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01023","created_at":"2026-07-02T01:18:26.271348+00:00"},{"alias_kind":"pith_short_12","alias_value":"CXOWQZVBATJP","created_at":"2026-07-02T01:18:26.271348+00:00"},{"alias_kind":"pith_short_16","alias_value":"CXOWQZVBATJP72AI","created_at":"2026-07-02T01:18:26.271348+00:00"},{"alias_kind":"pith_short_8","alias_value":"CXOWQZVB","created_at":"2026-07-02T01:18:26.271348+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/CXOWQZVBATJP72AIYARMTKNQSL","json":"https://pith.science/pith/CXOWQZVBATJP72AIYARMTKNQSL.json","graph_json":"https://pith.science/api/pith-number/CXOWQZVBATJP72AIYARMTKNQSL/graph.json","events_json":"https://pith.science/api/pith-number/CXOWQZVBATJP72AIYARMTKNQSL/events.json","paper":"https://pith.science/paper/CXOWQZVB"},"agent_actions":{"view_html":"https://pith.science/pith/CXOWQZVBATJP72AIYARMTKNQSL","download_json":"https://pith.science/pith/CXOWQZVBATJP72AIYARMTKNQSL.json","view_paper":"https://pith.science/paper/CXOWQZVB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.01023&json=true","fetch_graph":"https://pith.science/api/pith-number/CXOWQZVBATJP72AIYARMTKNQSL/graph.json","fetch_events":"https://pith.science/api/pith-number/CXOWQZVBATJP72AIYARMTKNQSL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CXOWQZVBATJP72AIYARMTKNQSL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CXOWQZVBATJP72AIYARMTKNQSL/action/storage_attestation","attest_author":"https://pith.science/pith/CXOWQZVBATJP72AIYARMTKNQSL/action/author_attestation","sign_citation":"https://pith.science/pith/CXOWQZVBATJP72AIYARMTKNQSL/action/citation_signature","submit_replication":"https://pith.science/pith/CXOWQZVBATJP72AIYARMTKNQSL/action/replication_record"}},"created_at":"2026-07-02T01:18:26.271348+00:00","updated_at":"2026-07-02T01:18:26.271348+00:00"}