{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:4L4ESQIQDHFTHXKTWWJQL4EHYO","short_pith_number":"pith:4L4ESQIQ","schema_version":"1.0","canonical_sha256":"e2f849411019cb33dd53b59305f087c3bb1b5362b16dde057b278d4f4c237e10","source":{"kind":"arxiv","id":"2106.10547","version":1},"attestation_state":"computed","paper":{"title":"Leveraging Multiple Online Sources for Accurate Income Verification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Chirag Mahapatra, Kedar Bellare","submitted_at":"2021-06-19T18:22:04Z","abstract_excerpt":"Income verification is the problem of validating a person's stated income given basic identity information such as name, location, job title and employer. It is widely used in the context of mortgage lending, rental applications and other financial risk models. However, the current processes surrounding verification involve significant human effort and document gathering which can be both time-consuming and expensive. In this paper, we propose a novel model for verifying an individual's income given very limited identity information typically available in loan applications. Our model is a comb"},"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":"2106.10547","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2021-06-19T18:22:04Z","cross_cats_sorted":[],"title_canon_sha256":"10d468e41c27204883857da6bbc2efba5d5c316288b91a35f60d6d7cfbbe4ea2","abstract_canon_sha256":"5f935caef9de035f88614f04005e6e6ee553cd18ae999215758220e500aa83b1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:50:50.320899Z","signature_b64":"Rv6jmcKN+brkTcViL3p47Ut0p47Yg22kDV6mDQFrXFnissdNZ73LyucaRceEsro3xkK2PR09TpLKEm70WiyhCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e2f849411019cb33dd53b59305f087c3bb1b5362b16dde057b278d4f4c237e10","last_reissued_at":"2026-07-05T02:50:50.320378Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:50:50.320378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Leveraging Multiple Online Sources for Accurate Income Verification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Chirag Mahapatra, Kedar Bellare","submitted_at":"2021-06-19T18:22:04Z","abstract_excerpt":"Income verification is the problem of validating a person's stated income given basic identity information such as name, location, job title and employer. It is widely used in the context of mortgage lending, rental applications and other financial risk models. However, the current processes surrounding verification involve significant human effort and document gathering which can be both time-consuming and expensive. In this paper, we propose a novel model for verifying an individual's income given very limited identity information typically available in loan applications. Our model is a comb"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.10547","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/2106.10547/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":"2106.10547","created_at":"2026-07-05T02:50:50.320452+00:00"},{"alias_kind":"arxiv_version","alias_value":"2106.10547v1","created_at":"2026-07-05T02:50:50.320452+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.10547","created_at":"2026-07-05T02:50:50.320452+00:00"},{"alias_kind":"pith_short_12","alias_value":"4L4ESQIQDHFT","created_at":"2026-07-05T02:50:50.320452+00:00"},{"alias_kind":"pith_short_16","alias_value":"4L4ESQIQDHFTHXKT","created_at":"2026-07-05T02:50:50.320452+00:00"},{"alias_kind":"pith_short_8","alias_value":"4L4ESQIQ","created_at":"2026-07-05T02:50:50.320452+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/4L4ESQIQDHFTHXKTWWJQL4EHYO","json":"https://pith.science/pith/4L4ESQIQDHFTHXKTWWJQL4EHYO.json","graph_json":"https://pith.science/api/pith-number/4L4ESQIQDHFTHXKTWWJQL4EHYO/graph.json","events_json":"https://pith.science/api/pith-number/4L4ESQIQDHFTHXKTWWJQL4EHYO/events.json","paper":"https://pith.science/paper/4L4ESQIQ"},"agent_actions":{"view_html":"https://pith.science/pith/4L4ESQIQDHFTHXKTWWJQL4EHYO","download_json":"https://pith.science/pith/4L4ESQIQDHFTHXKTWWJQL4EHYO.json","view_paper":"https://pith.science/paper/4L4ESQIQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2106.10547&json=true","fetch_graph":"https://pith.science/api/pith-number/4L4ESQIQDHFTHXKTWWJQL4EHYO/graph.json","fetch_events":"https://pith.science/api/pith-number/4L4ESQIQDHFTHXKTWWJQL4EHYO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4L4ESQIQDHFTHXKTWWJQL4EHYO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4L4ESQIQDHFTHXKTWWJQL4EHYO/action/storage_attestation","attest_author":"https://pith.science/pith/4L4ESQIQDHFTHXKTWWJQL4EHYO/action/author_attestation","sign_citation":"https://pith.science/pith/4L4ESQIQDHFTHXKTWWJQL4EHYO/action/citation_signature","submit_replication":"https://pith.science/pith/4L4ESQIQDHFTHXKTWWJQL4EHYO/action/replication_record"}},"created_at":"2026-07-05T02:50:50.320452+00:00","updated_at":"2026-07-05T02:50:50.320452+00:00"}