{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:FPHHNAUXKGEDLRCG7RT7JZ7MZR","short_pith_number":"pith:FPHHNAUX","canonical_record":{"source":{"id":"2502.04592","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-07T00:55:25Z","cross_cats_sorted":["cs.AI","cs.CE","cs.IR"],"title_canon_sha256":"4e2cdda4006d08ac9e76136ffba4c766063898c9423e573a49cee122dea7f33d","abstract_canon_sha256":"1af1ce996bbf21ad5695930a7cf592dbb26aff63ebc3797866ca3731a547b61a"},"schema_version":"1.0"},"canonical_sha256":"2bce768297518835c446fc67f4e7eccc54486f72a626e5651bd283509c1eba4f","source":{"kind":"arxiv","id":"2502.04592","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.04592","created_at":"2026-07-05T11:50:30Z"},{"alias_kind":"arxiv_version","alias_value":"2502.04592v3","created_at":"2026-07-05T11:50:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.04592","created_at":"2026-07-05T11:50:30Z"},{"alias_kind":"pith_short_12","alias_value":"FPHHNAUXKGED","created_at":"2026-07-05T11:50:30Z"},{"alias_kind":"pith_short_16","alias_value":"FPHHNAUXKGEDLRCG","created_at":"2026-07-05T11:50:30Z"},{"alias_kind":"pith_short_8","alias_value":"FPHHNAUX","created_at":"2026-07-05T11:50:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:FPHHNAUXKGEDLRCG7RT7JZ7MZR","target":"record","payload":{"canonical_record":{"source":{"id":"2502.04592","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-07T00:55:25Z","cross_cats_sorted":["cs.AI","cs.CE","cs.IR"],"title_canon_sha256":"4e2cdda4006d08ac9e76136ffba4c766063898c9423e573a49cee122dea7f33d","abstract_canon_sha256":"1af1ce996bbf21ad5695930a7cf592dbb26aff63ebc3797866ca3731a547b61a"},"schema_version":"1.0"},"canonical_sha256":"2bce768297518835c446fc67f4e7eccc54486f72a626e5651bd283509c1eba4f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:50:30.948243Z","signature_b64":"CuDQGFlwC48RzPw3YQRw1IZ13J5p0hOjdebM0RUnR79YnXYS1JJQyfRP3TwMrJLoKeRPHQQXMD+yHuvchso9Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2bce768297518835c446fc67f4e7eccc54486f72a626e5651bd283509c1eba4f","last_reissued_at":"2026-07-05T11:50:30.947685Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:50:30.947685Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.04592","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:50:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l3J2kfJWcaFlxymUBKHXPMHFhLQXIMdmCfbOj43Vbqww+/r+BV+7EAbvy12QIiRgVHyrMYhYVN9xQZ2C6L7KBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:59:12.605864Z"},"content_sha256":"e46fccca35262e2064f346d9a4532426d0581cafe53d5f908c47360b006978c7","schema_version":"1.0","event_id":"sha256:e46fccca35262e2064f346d9a4532426d0581cafe53d5f908c47360b006978c7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:FPHHNAUXKGEDLRCG7RT7JZ7MZR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CAMEF: Causal-Augmented Multi-Modality Event-Driven Financial Forecasting by Integrating Time Series Patterns and Salient Macroeconomic Announcements","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CE","cs.IR"],"primary_cat":"cs.LG","authors_text":"Jie Xiong, Jun Wang, Qiang Ma, Wenbo Yang, Yang Zhang","submitted_at":"2025-02-07T00:55:25Z","abstract_excerpt":"Accurately forecasting the impact of macroeconomic events is critical for investors and policymakers. Salient events like monetary policy decisions and employment reports often trigger market movements by shaping expectations of economic growth and risk, thereby establishing causal relationships between events and market behavior. Existing forecasting methods typically focus either on textual analysis or time-series modeling, but fail to capture the multi-modal nature of financial markets and the causal relationship between events and price movements. To address these gaps, we propose CAMEF (C"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.04592","kind":"arxiv","version":3},"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/2502.04592/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:50:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jhPq8FJZBnDveuYNI4fcbadgJ1rkQuOamWGeik6fbr8H8Kno6+69P06/k1th+fJKb3N18KcSG75zs3qzy10VDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:59:12.606376Z"},"content_sha256":"2bbcaa329e90669169b745d05b59e5bee5b8fc9f05b93ecc93e6bfe778f56d5a","schema_version":"1.0","event_id":"sha256:2bbcaa329e90669169b745d05b59e5bee5b8fc9f05b93ecc93e6bfe778f56d5a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FPHHNAUXKGEDLRCG7RT7JZ7MZR/bundle.json","state_url":"https://pith.science/pith/FPHHNAUXKGEDLRCG7RT7JZ7MZR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FPHHNAUXKGEDLRCG7RT7JZ7MZR/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":"2026-08-05T03:59:12Z","links":{"resolver":"https://pith.science/pith/FPHHNAUXKGEDLRCG7RT7JZ7MZR","bundle":"https://pith.science/pith/FPHHNAUXKGEDLRCG7RT7JZ7MZR/bundle.json","state":"https://pith.science/pith/FPHHNAUXKGEDLRCG7RT7JZ7MZR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FPHHNAUXKGEDLRCG7RT7JZ7MZR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FPHHNAUXKGEDLRCG7RT7JZ7MZR","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":"1af1ce996bbf21ad5695930a7cf592dbb26aff63ebc3797866ca3731a547b61a","cross_cats_sorted":["cs.AI","cs.CE","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-07T00:55:25Z","title_canon_sha256":"4e2cdda4006d08ac9e76136ffba4c766063898c9423e573a49cee122dea7f33d"},"schema_version":"1.0","source":{"id":"2502.04592","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.04592","created_at":"2026-07-05T11:50:30Z"},{"alias_kind":"arxiv_version","alias_value":"2502.04592v3","created_at":"2026-07-05T11:50:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.04592","created_at":"2026-07-05T11:50:30Z"},{"alias_kind":"pith_short_12","alias_value":"FPHHNAUXKGED","created_at":"2026-07-05T11:50:30Z"},{"alias_kind":"pith_short_16","alias_value":"FPHHNAUXKGEDLRCG","created_at":"2026-07-05T11:50:30Z"},{"alias_kind":"pith_short_8","alias_value":"FPHHNAUX","created_at":"2026-07-05T11:50:30Z"}],"graph_snapshots":[{"event_id":"sha256:2bbcaa329e90669169b745d05b59e5bee5b8fc9f05b93ecc93e6bfe778f56d5a","target":"graph","created_at":"2026-07-05T11:50:30Z","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/2502.04592/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurately forecasting the impact of macroeconomic events is critical for investors and policymakers. Salient events like monetary policy decisions and employment reports often trigger market movements by shaping expectations of economic growth and risk, thereby establishing causal relationships between events and market behavior. Existing forecasting methods typically focus either on textual analysis or time-series modeling, but fail to capture the multi-modal nature of financial markets and the causal relationship between events and price movements. To address these gaps, we propose CAMEF (C","authors_text":"Jie Xiong, Jun Wang, Qiang Ma, Wenbo Yang, Yang Zhang","cross_cats":["cs.AI","cs.CE","cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-07T00:55:25Z","title":"CAMEF: Causal-Augmented Multi-Modality Event-Driven Financial Forecasting by Integrating Time Series Patterns and Salient Macroeconomic Announcements"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.04592","kind":"arxiv","version":3},"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:e46fccca35262e2064f346d9a4532426d0581cafe53d5f908c47360b006978c7","target":"record","created_at":"2026-07-05T11:50:30Z","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":"1af1ce996bbf21ad5695930a7cf592dbb26aff63ebc3797866ca3731a547b61a","cross_cats_sorted":["cs.AI","cs.CE","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-07T00:55:25Z","title_canon_sha256":"4e2cdda4006d08ac9e76136ffba4c766063898c9423e573a49cee122dea7f33d"},"schema_version":"1.0","source":{"id":"2502.04592","kind":"arxiv","version":3}},"canonical_sha256":"2bce768297518835c446fc67f4e7eccc54486f72a626e5651bd283509c1eba4f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2bce768297518835c446fc67f4e7eccc54486f72a626e5651bd283509c1eba4f","first_computed_at":"2026-07-05T11:50:30.947685Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:50:30.947685Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CuDQGFlwC48RzPw3YQRw1IZ13J5p0hOjdebM0RUnR79YnXYS1JJQyfRP3TwMrJLoKeRPHQQXMD+yHuvchso9Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:50:30.948243Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.04592","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e46fccca35262e2064f346d9a4532426d0581cafe53d5f908c47360b006978c7","sha256:2bbcaa329e90669169b745d05b59e5bee5b8fc9f05b93ecc93e6bfe778f56d5a"],"state_sha256":"c2fd948565fe57c271cc19ec2cc9dccda1421d0656a28b794caf515720b44a9b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0KmCDsiVFqZ102XsEWUvob7Pe8JN0T4sJZ6CNRonJVOEXvAVAV+mk/MuI2H1q6rjqTRU1K67ukmck+nrl925Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T03:59:12.613647Z","bundle_sha256":"4e8e840613521da1355bd01803051bb22cae905e5e3ceae14af3dabe50f51291"}}