{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:CNYFCNQMNTQYVMQI72TGPVISJ4","short_pith_number":"pith:CNYFCNQM","schema_version":"1.0","canonical_sha256":"137051360c6ce18ab208fea667d5124f3e4bcfde30d03712ea2838a8f9295fcb","source":{"kind":"arxiv","id":"2602.24068","version":1},"attestation_state":"computed","paper":{"title":"A Novel Hierarchical Multi-Agent System for Payments Using LLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.MA","authors_text":"Donghao Huang, Joon Kiat Chua, Zhaoxia Wang","submitted_at":"2026-02-27T14:58:13Z","abstract_excerpt":"Large language model (LLM) agents, such as OpenAI's Operator and Claude's Computer Use, can automate workflows but unable to handle payment tasks. Existing agentic solutions have gained significant attention; however, even the latest approaches face challenges in implementing end-to-end agentic payment workflows. To address this gap, this research proposes the Hierarchical Multi-Agent System for Payments (HMASP), which provides an end-to-end agentic method for completing payment workflows. The proposed HMASP leverages either open-weight or proprietary LLMs and employs a modular architecture co"},"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":"2602.24068","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-02-27T14:58:13Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"6ac7513274e1f787ae9d9744c7891a6c320f66b5f5605893ec0abe1ff401ff37","abstract_canon_sha256":"59867a46e1bd73f90857d5aa39b5700ae6baad7e5a25347e6a8f9e9885964bc9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T00:11:49.097310Z","signature_b64":"HipegQ5PvgdpASz/NHWHPRvF0NHsAiwA1tb/EdZzkKSB+0Qvh75A3ETJkRlg+3ggytWP0AkUN0KG4tM/8gMWDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"137051360c6ce18ab208fea667d5124f3e4bcfde30d03712ea2838a8f9295fcb","last_reissued_at":"2026-06-23T00:11:49.096879Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T00:11:49.096879Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Novel Hierarchical Multi-Agent System for Payments Using LLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.MA","authors_text":"Donghao Huang, Joon Kiat Chua, Zhaoxia Wang","submitted_at":"2026-02-27T14:58:13Z","abstract_excerpt":"Large language model (LLM) agents, such as OpenAI's Operator and Claude's Computer Use, can automate workflows but unable to handle payment tasks. Existing agentic solutions have gained significant attention; however, even the latest approaches face challenges in implementing end-to-end agentic payment workflows. To address this gap, this research proposes the Hierarchical Multi-Agent System for Payments (HMASP), which provides an end-to-end agentic method for completing payment workflows. The proposed HMASP leverages either open-weight or proprietary LLMs and employs a modular architecture co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.24068","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/2602.24068/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":"2602.24068","created_at":"2026-06-23T00:11:49.096936+00:00"},{"alias_kind":"arxiv_version","alias_value":"2602.24068v1","created_at":"2026-06-23T00:11:49.096936+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.24068","created_at":"2026-06-23T00:11:49.096936+00:00"},{"alias_kind":"pith_short_12","alias_value":"CNYFCNQMNTQY","created_at":"2026-06-23T00:11:49.096936+00:00"},{"alias_kind":"pith_short_16","alias_value":"CNYFCNQMNTQYVMQI","created_at":"2026-06-23T00:11:49.096936+00:00"},{"alias_kind":"pith_short_8","alias_value":"CNYFCNQM","created_at":"2026-06-23T00:11:49.096936+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/CNYFCNQMNTQYVMQI72TGPVISJ4","json":"https://pith.science/pith/CNYFCNQMNTQYVMQI72TGPVISJ4.json","graph_json":"https://pith.science/api/pith-number/CNYFCNQMNTQYVMQI72TGPVISJ4/graph.json","events_json":"https://pith.science/api/pith-number/CNYFCNQMNTQYVMQI72TGPVISJ4/events.json","paper":"https://pith.science/paper/CNYFCNQM"},"agent_actions":{"view_html":"https://pith.science/pith/CNYFCNQMNTQYVMQI72TGPVISJ4","download_json":"https://pith.science/pith/CNYFCNQMNTQYVMQI72TGPVISJ4.json","view_paper":"https://pith.science/paper/CNYFCNQM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2602.24068&json=true","fetch_graph":"https://pith.science/api/pith-number/CNYFCNQMNTQYVMQI72TGPVISJ4/graph.json","fetch_events":"https://pith.science/api/pith-number/CNYFCNQMNTQYVMQI72TGPVISJ4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CNYFCNQMNTQYVMQI72TGPVISJ4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CNYFCNQMNTQYVMQI72TGPVISJ4/action/storage_attestation","attest_author":"https://pith.science/pith/CNYFCNQMNTQYVMQI72TGPVISJ4/action/author_attestation","sign_citation":"https://pith.science/pith/CNYFCNQMNTQYVMQI72TGPVISJ4/action/citation_signature","submit_replication":"https://pith.science/pith/CNYFCNQMNTQYVMQI72TGPVISJ4/action/replication_record"}},"created_at":"2026-06-23T00:11:49.096936+00:00","updated_at":"2026-06-23T00:11:49.096936+00:00"}