{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:AZWUCTGBMJZURDO43WARQPDDMC","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":"8f1612ea89f880efe46f313aea87067bdfd4fac905f4b55bc7f25a7e514c3db1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2023-12-30T14:34:22Z","title_canon_sha256":"3a36f3f9e4a1f0d4de72ef4e88d66708c8a2fd1b00f0fb1a0b9c7e40c7c45a0d"},"schema_version":"1.0","source":{"id":"2401.00249","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.00249","created_at":"2026-07-05T10:14:37Z"},{"alias_kind":"arxiv_version","alias_value":"2401.00249v2","created_at":"2026-07-05T10:14:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.00249","created_at":"2026-07-05T10:14:37Z"},{"alias_kind":"pith_short_12","alias_value":"AZWUCTGBMJZU","created_at":"2026-07-05T10:14:37Z"},{"alias_kind":"pith_short_16","alias_value":"AZWUCTGBMJZURDO4","created_at":"2026-07-05T10:14:37Z"},{"alias_kind":"pith_short_8","alias_value":"AZWUCTGB","created_at":"2026-07-05T10:14:37Z"}],"graph_snapshots":[{"event_id":"sha256:17b98e549e7abec7da5d691d50bd6be219647a133b56cdf4c37a7d4a14a93e0f","target":"graph","created_at":"2026-07-05T10:14:37Z","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/2401.00249/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Forecasting consumer price index (CPI) inflation is of paramount importance for both academics and policymakers at the central banks. This study introduces a filtered ensemble wavelet neural network (FEWNet) to forecast CPI inflation, which is tested on BRIC countries. FEWNet breaks down inflation data into high and low-frequency components using wavelets and utilizes them along with other economic factors (economic policy uncertainty and geopolitical risk) to produce forecasts. All the wavelet-transformed series and filtered exogenous variables are fed into downstream autoregressive neural ne","authors_text":"Shovon Sengupta, Sunny Kumar Singh, Tanujit Chakraborty","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2023-12-30T14:34:22Z","title":"Forecasting CPI inflation under economic policy and geopolitical uncertainties"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.00249","kind":"arxiv","version":2},"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:b27ddd91baf395d944ce211f81e7dd87da5e7269ed3346dd0da71d0fac75d905","target":"record","created_at":"2026-07-05T10:14:37Z","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":"8f1612ea89f880efe46f313aea87067bdfd4fac905f4b55bc7f25a7e514c3db1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2023-12-30T14:34:22Z","title_canon_sha256":"3a36f3f9e4a1f0d4de72ef4e88d66708c8a2fd1b00f0fb1a0b9c7e40c7c45a0d"},"schema_version":"1.0","source":{"id":"2401.00249","kind":"arxiv","version":2}},"canonical_sha256":"066d414cc16273488ddcdd81183c6360b03e7be560838468b257c117736f59c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"066d414cc16273488ddcdd81183c6360b03e7be560838468b257c117736f59c0","first_computed_at":"2026-07-05T10:14:37.722323Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:14:37.722323Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vNIOQRdU80DcSQEKzswNfGlsowWew0gd6SY5gr1/Qe3zs6Ui4ldxjHa5ftQw8aQJNbtIibhPGaNoy/FPvUbxAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:14:37.722831Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.00249","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b27ddd91baf395d944ce211f81e7dd87da5e7269ed3346dd0da71d0fac75d905","sha256:17b98e549e7abec7da5d691d50bd6be219647a133b56cdf4c37a7d4a14a93e0f"],"state_sha256":"0fd2faf156e3c314eed97757c02f347363056b8f0c85b9170672e07fbb5f9879"}