{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:OUXD5JKFPNMGPCBPRQG5BOX6KJ","short_pith_number":"pith:OUXD5JKF","schema_version":"1.0","canonical_sha256":"752e3ea5457b5867882f8c0dd0bafe5273511f148a446cdcc4589240e9b4c98c","source":{"kind":"arxiv","id":"2607.10932","version":1},"attestation_state":"computed","paper":{"title":"LLM-Enhanced Dynamic Financial Knowledge Graphs for Cross-Entity Signal Propagation and alpha discovery","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Lin Zhang","submitted_at":"2026-07-12T21:44:05Z","abstract_excerpt":"Financial information rarely affects a single company in isolation. Earnings surprises, capital expenditure changes, supply constraints, and guidance revisions can propagate through networks of suppliers, customers, competitors, and technology ecosystems. Traditional financial NLP primarily measures document-level sentiment for the directly mentioned company and often ignores cross-entity information diffusion.\n  This paper develops an LLM-based financial measurement and signal propagation framework. The LLM converts unstructured financial documents into structured economic state-change events"},"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":"2607.10932","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2026-07-12T21:44:05Z","cross_cats_sorted":[],"title_canon_sha256":"c2560c6e196d71464afa3a5e79c305abea5a6294ade1f42b913098ab39a80f1a","abstract_canon_sha256":"68954dc103c6c2f786d024ee24e080889a2e1c54ad4e5cb9b37c06d8a0ed5301"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T01:21:48.283304Z","signature_b64":"wJid7eg/nMXG/Z9JWPxXy+xHvLLmo8Du3H69XHQLyD4Dz8dy6kh3eot7kLoW0OMSj9Yi3hnZIjMRC4sJ5bzaBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"752e3ea5457b5867882f8c0dd0bafe5273511f148a446cdcc4589240e9b4c98c","last_reissued_at":"2026-07-14T01:21:48.282362Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T01:21:48.282362Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"LLM-Enhanced Dynamic Financial Knowledge Graphs for Cross-Entity Signal Propagation and alpha discovery","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Lin Zhang","submitted_at":"2026-07-12T21:44:05Z","abstract_excerpt":"Financial information rarely affects a single company in isolation. Earnings surprises, capital expenditure changes, supply constraints, and guidance revisions can propagate through networks of suppliers, customers, competitors, and technology ecosystems. Traditional financial NLP primarily measures document-level sentiment for the directly mentioned company and often ignores cross-entity information diffusion.\n  This paper develops an LLM-based financial measurement and signal propagation framework. The LLM converts unstructured financial documents into structured economic state-change events"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10932","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/2607.10932/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":"2607.10932","created_at":"2026-07-14T01:21:48.282849+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.10932v1","created_at":"2026-07-14T01:21:48.282849+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10932","created_at":"2026-07-14T01:21:48.282849+00:00"},{"alias_kind":"pith_short_12","alias_value":"OUXD5JKFPNMG","created_at":"2026-07-14T01:21:48.282849+00:00"},{"alias_kind":"pith_short_16","alias_value":"OUXD5JKFPNMGPCBP","created_at":"2026-07-14T01:21:48.282849+00:00"},{"alias_kind":"pith_short_8","alias_value":"OUXD5JKF","created_at":"2026-07-14T01:21:48.282849+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/OUXD5JKFPNMGPCBPRQG5BOX6KJ","json":"https://pith.science/pith/OUXD5JKFPNMGPCBPRQG5BOX6KJ.json","graph_json":"https://pith.science/api/pith-number/OUXD5JKFPNMGPCBPRQG5BOX6KJ/graph.json","events_json":"https://pith.science/api/pith-number/OUXD5JKFPNMGPCBPRQG5BOX6KJ/events.json","paper":"https://pith.science/paper/OUXD5JKF"},"agent_actions":{"view_html":"https://pith.science/pith/OUXD5JKFPNMGPCBPRQG5BOX6KJ","download_json":"https://pith.science/pith/OUXD5JKFPNMGPCBPRQG5BOX6KJ.json","view_paper":"https://pith.science/paper/OUXD5JKF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.10932&json=true","fetch_graph":"https://pith.science/api/pith-number/OUXD5JKFPNMGPCBPRQG5BOX6KJ/graph.json","fetch_events":"https://pith.science/api/pith-number/OUXD5JKFPNMGPCBPRQG5BOX6KJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OUXD5JKFPNMGPCBPRQG5BOX6KJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OUXD5JKFPNMGPCBPRQG5BOX6KJ/action/storage_attestation","attest_author":"https://pith.science/pith/OUXD5JKFPNMGPCBPRQG5BOX6KJ/action/author_attestation","sign_citation":"https://pith.science/pith/OUXD5JKFPNMGPCBPRQG5BOX6KJ/action/citation_signature","submit_replication":"https://pith.science/pith/OUXD5JKFPNMGPCBPRQG5BOX6KJ/action/replication_record"}},"created_at":"2026-07-14T01:21:48.282849+00:00","updated_at":"2026-07-14T01:21:48.282849+00:00"}