{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ZGXMJ2AOD4YBAPB4EXFOFDRXL4","short_pith_number":"pith:ZGXMJ2AO","schema_version":"1.0","canonical_sha256":"c9aec4e80e1f30103c3c25cae28e375f3d23ce22fdeefd13c693f6e7aae3e44e","source":{"kind":"arxiv","id":"2605.27320","version":1},"attestation_state":"computed","paper":{"title":"Modeling Agentic Technical Debt and Stochastic Tax: A Standalone Framework for Measurement, Simulation, and Dashboarding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY","econ.GN","q-fin.EC"],"primary_cat":"cs.AI","authors_text":"Muhammad Zia Hydari, Narayan Ramasubbu, Raja Iqbal","submitted_at":"2026-05-26T17:28:30Z","abstract_excerpt":"Agentic AI systems combine probabilistic reasoning with delegated action through tools, context, memory, orchestration, and external workflow integration. This note develops a formal and managerially usable model that distinguishes Agentic Technical Debt from Stochastic Tax. Agentic Technical Debt is a stock of accumulated design and governance liability. Stochastic Tax is a recurring flow of operating burden that arises when stochastic agents are used in business workflows. The two constructs are related, but they are not the same: debt can amplify the tax, while the tax can remain positive e"},"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":"2605.27320","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-26T17:28:30Z","cross_cats_sorted":["cs.CY","econ.GN","q-fin.EC"],"title_canon_sha256":"662ad255a089d9c70283ef23b27230314606b0003e3588873b8de5c6d841efcd","abstract_canon_sha256":"cbf3c23f1f382ff94a2672759935db38212cd4f8500f50cf305cac16d0026746"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-27T02:06:18.008371Z","signature_b64":"/VgA0EB+pZzgYN+MIX5YMdoV54jdd0GXfvD1DUZyB+3OCCzEzw1NmHOHS9repE4ExCWONUCwlbTxJlxXmR78Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c9aec4e80e1f30103c3c25cae28e375f3d23ce22fdeefd13c693f6e7aae3e44e","last_reissued_at":"2026-05-27T02:06:18.007515Z","signature_status":"signed_v1","first_computed_at":"2026-05-27T02:06:18.007515Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Modeling Agentic Technical Debt and Stochastic Tax: A Standalone Framework for Measurement, Simulation, and Dashboarding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY","econ.GN","q-fin.EC"],"primary_cat":"cs.AI","authors_text":"Muhammad Zia Hydari, Narayan Ramasubbu, Raja Iqbal","submitted_at":"2026-05-26T17:28:30Z","abstract_excerpt":"Agentic AI systems combine probabilistic reasoning with delegated action through tools, context, memory, orchestration, and external workflow integration. This note develops a formal and managerially usable model that distinguishes Agentic Technical Debt from Stochastic Tax. Agentic Technical Debt is a stock of accumulated design and governance liability. Stochastic Tax is a recurring flow of operating burden that arises when stochastic agents are used in business workflows. The two constructs are related, but they are not the same: debt can amplify the tax, while the tax can remain positive e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.27320","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/2605.27320/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":"2605.27320","created_at":"2026-05-27T02:06:18.007651+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.27320v1","created_at":"2026-05-27T02:06:18.007651+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.27320","created_at":"2026-05-27T02:06:18.007651+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZGXMJ2AOD4YB","created_at":"2026-05-27T02:06:18.007651+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZGXMJ2AOD4YBAPB4","created_at":"2026-05-27T02:06:18.007651+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZGXMJ2AO","created_at":"2026-05-27T02:06:18.007651+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/ZGXMJ2AOD4YBAPB4EXFOFDRXL4","json":"https://pith.science/pith/ZGXMJ2AOD4YBAPB4EXFOFDRXL4.json","graph_json":"https://pith.science/api/pith-number/ZGXMJ2AOD4YBAPB4EXFOFDRXL4/graph.json","events_json":"https://pith.science/api/pith-number/ZGXMJ2AOD4YBAPB4EXFOFDRXL4/events.json","paper":"https://pith.science/paper/ZGXMJ2AO"},"agent_actions":{"view_html":"https://pith.science/pith/ZGXMJ2AOD4YBAPB4EXFOFDRXL4","download_json":"https://pith.science/pith/ZGXMJ2AOD4YBAPB4EXFOFDRXL4.json","view_paper":"https://pith.science/paper/ZGXMJ2AO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.27320&json=true","fetch_graph":"https://pith.science/api/pith-number/ZGXMJ2AOD4YBAPB4EXFOFDRXL4/graph.json","fetch_events":"https://pith.science/api/pith-number/ZGXMJ2AOD4YBAPB4EXFOFDRXL4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZGXMJ2AOD4YBAPB4EXFOFDRXL4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZGXMJ2AOD4YBAPB4EXFOFDRXL4/action/storage_attestation","attest_author":"https://pith.science/pith/ZGXMJ2AOD4YBAPB4EXFOFDRXL4/action/author_attestation","sign_citation":"https://pith.science/pith/ZGXMJ2AOD4YBAPB4EXFOFDRXL4/action/citation_signature","submit_replication":"https://pith.science/pith/ZGXMJ2AOD4YBAPB4EXFOFDRXL4/action/replication_record"}},"created_at":"2026-05-27T02:06:18.007651+00:00","updated_at":"2026-05-27T02:06:18.007651+00:00"}