{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LUAX32LT5MYBK3VO7M4M4J34IC","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":"dd727a98f2e2c11c317e9a621fbcaf63695452901e096740c6e472083ef708b0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-01T09:14:33Z","title_canon_sha256":"fa7f96606d2a498c3da6b9945da0c7fad486b67499b56ac5390dc322925e1e99"},"schema_version":"1.0","source":{"id":"2411.00460","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.00460","created_at":"2026-07-05T09:29:42Z"},{"alias_kind":"arxiv_version","alias_value":"2411.00460v1","created_at":"2026-07-05T09:29:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.00460","created_at":"2026-07-05T09:29:42Z"},{"alias_kind":"pith_short_12","alias_value":"LUAX32LT5MYB","created_at":"2026-07-05T09:29:42Z"},{"alias_kind":"pith_short_16","alias_value":"LUAX32LT5MYBK3VO","created_at":"2026-07-05T09:29:42Z"},{"alias_kind":"pith_short_8","alias_value":"LUAX32LT","created_at":"2026-07-05T09:29:42Z"}],"graph_snapshots":[{"event_id":"sha256:5d6ce7f44ee893a915cda9f5356fae4c5ddcd048e2e7f159eab362946cbe5826","target":"graph","created_at":"2026-07-05T09:29:42Z","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/2411.00460/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"One of the important factors of profitability is the volume of transactions. An accurate prediction of the future transaction volume becomes a pivotal factor in shaping corporate operations and decision-making processes. E-commerce has presented manufacturers with convenient sales channels to, with which the sales can increase dramatically. In this study, we introduce a solution that leverages the XGBoost model to tackle the challenge of predict-ing sales for consumer electronics products on the Amazon platform. Initial-ly, our attempts to solely predict sales volume yielded unsatisfactory res","authors_text":"Gangmin Li, Ka Lok Man, Meng Wang, Terry R.Payne, Yong Yue, Yuchen Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-01T09:14:33Z","title":"Unlocking Your Sales Insights: Advanced XGBoost Forecasting Models for Amazon Products"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.00460","kind":"arxiv","version":1},"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":"sha256:3fe64f0657ac663bf3e025209e1bc9652eb3e9e8795209db23c0ebd44ff63f96","target":"record","created_at":"2026-07-05T09:29:42Z","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":"dd727a98f2e2c11c317e9a621fbcaf63695452901e096740c6e472083ef708b0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-01T09:14:33Z","title_canon_sha256":"fa7f96606d2a498c3da6b9945da0c7fad486b67499b56ac5390dc322925e1e99"},"schema_version":"1.0","source":{"id":"2411.00460","kind":"arxiv","version":1}},"canonical_sha256":"5d017de973eb30156eaefb38ce277c40874b9a04adbe5de829c05f0c3ba20aef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5d017de973eb30156eaefb38ce277c40874b9a04adbe5de829c05f0c3ba20aef","first_computed_at":"2026-07-05T09:29:42.916158Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:29:42.916158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0d8EAWGIvXTOfmT29njm9qVyXALdk/WYOYQ1nVSpXt1+D0GABxOK3fTlHiBgnPvJBRLZdlP1DanKDOxunShtDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:29:42.916565Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.00460","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3fe64f0657ac663bf3e025209e1bc9652eb3e9e8795209db23c0ebd44ff63f96","sha256:5d6ce7f44ee893a915cda9f5356fae4c5ddcd048e2e7f159eab362946cbe5826"],"state_sha256":"c508b044f924a33f9899597a3b1f14db1a761998a547e9c03884d979f8766737"}