{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ERILDG27QPBVGA2J2DAASPBGJN","short_pith_number":"pith:ERILDG27","schema_version":"1.0","canonical_sha256":"2450b19b5f83c3530349d0c0093c264b4dd77a83d95d5edfaa55873004b32d5c","source":{"kind":"arxiv","id":"2606.01513","version":1},"attestation_state":"computed","paper":{"title":"Compliance-Scored Best-of-N Guardrail Orchestration for Multimodal Document Generation in Payments Dispute Defense","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG"],"primary_cat":"cs.DC","authors_text":"Nataraj Agaram Sundar, Tejas Morabia","submitted_at":"2026-06-01T00:24:30Z","abstract_excerpt":"High-stakes enterprise document generation, including financial dispute narratives, compliance notices, and audit summaries, demands schema correctness, policy compliance, and low-latency operation at scale. Prior to a unified guardrail layer, production systems often stitched together separate PII redaction, content moderation, and format validation steps, leading to fragmented logic, slower request paths, and higher operational cost.\n  We present a guardrail orchestration layer for text and image inputs that couples multi-candidate generation with an explicit compliance score used for early "},"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":"2606.01513","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2026-06-01T00:24:30Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"05b30f17651e4967eccbfca097ff59db870a5b27a9eefab8c78c0287a583a801","abstract_canon_sha256":"e68b215148a347f854770da64affb3477ad61cb32eab6de8086b75ea9eb7ec6d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:04:35.308529Z","signature_b64":"F1VfKjbzxRYLsZKJXKcUQiB0povpVlqMSDf6AOPvAiA6vzCsK5HAnYl9GsyJCOcf36zyOM01RKl0L3SAFDrfBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2450b19b5f83c3530349d0c0093c264b4dd77a83d95d5edfaa55873004b32d5c","last_reissued_at":"2026-06-02T02:04:35.308155Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:04:35.308155Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Compliance-Scored Best-of-N Guardrail Orchestration for Multimodal Document Generation in Payments Dispute Defense","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG"],"primary_cat":"cs.DC","authors_text":"Nataraj Agaram Sundar, Tejas Morabia","submitted_at":"2026-06-01T00:24:30Z","abstract_excerpt":"High-stakes enterprise document generation, including financial dispute narratives, compliance notices, and audit summaries, demands schema correctness, policy compliance, and low-latency operation at scale. Prior to a unified guardrail layer, production systems often stitched together separate PII redaction, content moderation, and format validation steps, leading to fragmented logic, slower request paths, and higher operational cost.\n  We present a guardrail orchestration layer for text and image inputs that couples multi-candidate generation with an explicit compliance score used for early "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01513","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/2606.01513/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":"2606.01513","created_at":"2026-06-02T02:04:35.308214+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.01513v1","created_at":"2026-06-02T02:04:35.308214+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01513","created_at":"2026-06-02T02:04:35.308214+00:00"},{"alias_kind":"pith_short_12","alias_value":"ERILDG27QPBV","created_at":"2026-06-02T02:04:35.308214+00:00"},{"alias_kind":"pith_short_16","alias_value":"ERILDG27QPBVGA2J","created_at":"2026-06-02T02:04:35.308214+00:00"},{"alias_kind":"pith_short_8","alias_value":"ERILDG27","created_at":"2026-06-02T02:04:35.308214+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/ERILDG27QPBVGA2J2DAASPBGJN","json":"https://pith.science/pith/ERILDG27QPBVGA2J2DAASPBGJN.json","graph_json":"https://pith.science/api/pith-number/ERILDG27QPBVGA2J2DAASPBGJN/graph.json","events_json":"https://pith.science/api/pith-number/ERILDG27QPBVGA2J2DAASPBGJN/events.json","paper":"https://pith.science/paper/ERILDG27"},"agent_actions":{"view_html":"https://pith.science/pith/ERILDG27QPBVGA2J2DAASPBGJN","download_json":"https://pith.science/pith/ERILDG27QPBVGA2J2DAASPBGJN.json","view_paper":"https://pith.science/paper/ERILDG27","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.01513&json=true","fetch_graph":"https://pith.science/api/pith-number/ERILDG27QPBVGA2J2DAASPBGJN/graph.json","fetch_events":"https://pith.science/api/pith-number/ERILDG27QPBVGA2J2DAASPBGJN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ERILDG27QPBVGA2J2DAASPBGJN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ERILDG27QPBVGA2J2DAASPBGJN/action/storage_attestation","attest_author":"https://pith.science/pith/ERILDG27QPBVGA2J2DAASPBGJN/action/author_attestation","sign_citation":"https://pith.science/pith/ERILDG27QPBVGA2J2DAASPBGJN/action/citation_signature","submit_replication":"https://pith.science/pith/ERILDG27QPBVGA2J2DAASPBGJN/action/replication_record"}},"created_at":"2026-06-02T02:04:35.308214+00:00","updated_at":"2026-06-02T02:04:35.308214+00:00"}