{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:QFWENP4LDRFZZTLXAXFZOGF46Y","short_pith_number":"pith:QFWENP4L","schema_version":"1.0","canonical_sha256":"816c46bf8b1c4b9ccd7705cb9718bcf62ceb531eb4dbccdbf68db09770f87058","source":{"kind":"arxiv","id":"2402.16162","version":1},"attestation_state":"computed","paper":{"title":"Catch Me If You Can: Combatting Fraud in Artificial Currency Based Government Benefits Programs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GT","cs.SY"],"primary_cat":"eess.SY","authors_text":"Devansh Jalota, Marco Pavone, Matthew Tsao","submitted_at":"2024-02-25T17:48:21Z","abstract_excerpt":"Artificial currencies have grown in popularity in many real-world resource allocation settings, gaining traction in government benefits programs like food assistance and transit benefits programs. However, such programs are susceptible to misreporting fraud, wherein users can misreport their private attributes to gain access to more artificial currency (credits) than they are entitled to. To address the problem of misreporting fraud in artificial currency based benefits programs, we introduce an audit mechanism that induces a two-stage game between an administrator and users. In our proposed m"},"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":"2402.16162","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2024-02-25T17:48:21Z","cross_cats_sorted":["cs.GT","cs.SY"],"title_canon_sha256":"c605695504d3baeebb2c12a38625143ae31f8435ed9a4eb662b9d73f9883a2be","abstract_canon_sha256":"06805288303378f7738783dfef7f7bc87117fb3f52ed2e7bc232086e0a8404e1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:49:03.372924Z","signature_b64":"cteyBSZAUs1CWqa+ifBTkGf6gMz/KBksPMbtywMU/KD0dkaERtJ26hHNwCMBaR0KEP49EKR6gFhQ6vXbuuSXAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"816c46bf8b1c4b9ccd7705cb9718bcf62ceb531eb4dbccdbf68db09770f87058","last_reissued_at":"2026-07-05T07:49:03.372478Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:49:03.372478Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Catch Me If You Can: Combatting Fraud in Artificial Currency Based Government Benefits Programs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GT","cs.SY"],"primary_cat":"eess.SY","authors_text":"Devansh Jalota, Marco Pavone, Matthew Tsao","submitted_at":"2024-02-25T17:48:21Z","abstract_excerpt":"Artificial currencies have grown in popularity in many real-world resource allocation settings, gaining traction in government benefits programs like food assistance and transit benefits programs. However, such programs are susceptible to misreporting fraud, wherein users can misreport their private attributes to gain access to more artificial currency (credits) than they are entitled to. To address the problem of misreporting fraud in artificial currency based benefits programs, we introduce an audit mechanism that induces a two-stage game between an administrator and users. In our proposed m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.16162","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/2402.16162/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":"2402.16162","created_at":"2026-07-05T07:49:03.372535+00:00"},{"alias_kind":"arxiv_version","alias_value":"2402.16162v1","created_at":"2026-07-05T07:49:03.372535+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.16162","created_at":"2026-07-05T07:49:03.372535+00:00"},{"alias_kind":"pith_short_12","alias_value":"QFWENP4LDRFZ","created_at":"2026-07-05T07:49:03.372535+00:00"},{"alias_kind":"pith_short_16","alias_value":"QFWENP4LDRFZZTLX","created_at":"2026-07-05T07:49:03.372535+00:00"},{"alias_kind":"pith_short_8","alias_value":"QFWENP4L","created_at":"2026-07-05T07:49:03.372535+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2507.09473","citing_title":"Efficiency, Feasibility, and Incentive-Awareness in Constrained Online Resource Allocation","ref_index":42,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QFWENP4LDRFZZTLXAXFZOGF46Y","json":"https://pith.science/pith/QFWENP4LDRFZZTLXAXFZOGF46Y.json","graph_json":"https://pith.science/api/pith-number/QFWENP4LDRFZZTLXAXFZOGF46Y/graph.json","events_json":"https://pith.science/api/pith-number/QFWENP4LDRFZZTLXAXFZOGF46Y/events.json","paper":"https://pith.science/paper/QFWENP4L"},"agent_actions":{"view_html":"https://pith.science/pith/QFWENP4LDRFZZTLXAXFZOGF46Y","download_json":"https://pith.science/pith/QFWENP4LDRFZZTLXAXFZOGF46Y.json","view_paper":"https://pith.science/paper/QFWENP4L","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2402.16162&json=true","fetch_graph":"https://pith.science/api/pith-number/QFWENP4LDRFZZTLXAXFZOGF46Y/graph.json","fetch_events":"https://pith.science/api/pith-number/QFWENP4LDRFZZTLXAXFZOGF46Y/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QFWENP4LDRFZZTLXAXFZOGF46Y/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QFWENP4LDRFZZTLXAXFZOGF46Y/action/storage_attestation","attest_author":"https://pith.science/pith/QFWENP4LDRFZZTLXAXFZOGF46Y/action/author_attestation","sign_citation":"https://pith.science/pith/QFWENP4LDRFZZTLXAXFZOGF46Y/action/citation_signature","submit_replication":"https://pith.science/pith/QFWENP4LDRFZZTLXAXFZOGF46Y/action/replication_record"}},"created_at":"2026-07-05T07:49:03.372535+00:00","updated_at":"2026-07-05T07:49:03.372535+00:00"}