{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:ZLV7NIXVKQU5XNXKGSUB663CEM","short_pith_number":"pith:ZLV7NIXV","schema_version":"1.0","canonical_sha256":"caebf6a2f55429dbb6ea34a81f7b62230ccffa346f6efd6f59f16aad819e6cb8","source":{"kind":"arxiv","id":"2506.22893","version":1},"attestation_state":"computed","paper":{"title":"Agentic Enterprise: AI-Centric User to User-Centric AI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.AI","authors_text":"Alex Endert, Arpit Narechania, Atanu R Sinha","submitted_at":"2025-06-28T14:05:59Z","abstract_excerpt":"After a very long winter, the Artificial Intelligence (AI) spring is here. Or, so it seems over the last three years. AI has the potential to impact many areas of human life - personal, social, health, education, professional. In this paper, we take a closer look at the potential of AI for Enterprises, where decision-making plays a crucial and repeated role across functions, tasks, and operations. We consider Agents imbued with AI as means to increase decision-productivity of enterprises. We highlight six tenets for Agentic success in enterprises, by drawing attention to what the current, AI-C"},"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":"2506.22893","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-28T14:05:59Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"e63c1b976ab782eb604f8c2f1cff65e04ac2bcc3f7c6a45f446db97b9a651e02","abstract_canon_sha256":"8e6e522a5842edaa65801651ef2073ebdbd3b11c8215d4a154fbc0ffdc3c7cbb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:28:47.297363Z","signature_b64":"pgEu8MC+J59otzI7ABE3XmTnIp4yeUXx657QulIL8PcSCxJ0O1nWK72gBhFoJ0ThY1orsuPG9XiRM9YbCcG/BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"caebf6a2f55429dbb6ea34a81f7b62230ccffa346f6efd6f59f16aad819e6cb8","last_reissued_at":"2026-07-05T11:28:47.296852Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:28:47.296852Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Agentic Enterprise: AI-Centric User to User-Centric AI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.AI","authors_text":"Alex Endert, Arpit Narechania, Atanu R Sinha","submitted_at":"2025-06-28T14:05:59Z","abstract_excerpt":"After a very long winter, the Artificial Intelligence (AI) spring is here. Or, so it seems over the last three years. AI has the potential to impact many areas of human life - personal, social, health, education, professional. In this paper, we take a closer look at the potential of AI for Enterprises, where decision-making plays a crucial and repeated role across functions, tasks, and operations. We consider Agents imbued with AI as means to increase decision-productivity of enterprises. We highlight six tenets for Agentic success in enterprises, by drawing attention to what the current, AI-C"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.22893","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/2506.22893/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":"2506.22893","created_at":"2026-07-05T11:28:47.296913+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.22893v1","created_at":"2026-07-05T11:28:47.296913+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.22893","created_at":"2026-07-05T11:28:47.296913+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZLV7NIXVKQU5","created_at":"2026-07-05T11:28:47.296913+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZLV7NIXVKQU5XNXK","created_at":"2026-07-05T11:28:47.296913+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZLV7NIXV","created_at":"2026-07-05T11:28:47.296913+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.15326","citing_title":"Analyzing the Presentation, Content, and Utilization of References in LLM-powered Conversational AI Systems","ref_index":35,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ZLV7NIXVKQU5XNXKGSUB663CEM","json":"https://pith.science/pith/ZLV7NIXVKQU5XNXKGSUB663CEM.json","graph_json":"https://pith.science/api/pith-number/ZLV7NIXVKQU5XNXKGSUB663CEM/graph.json","events_json":"https://pith.science/api/pith-number/ZLV7NIXVKQU5XNXKGSUB663CEM/events.json","paper":"https://pith.science/paper/ZLV7NIXV"},"agent_actions":{"view_html":"https://pith.science/pith/ZLV7NIXVKQU5XNXKGSUB663CEM","download_json":"https://pith.science/pith/ZLV7NIXVKQU5XNXKGSUB663CEM.json","view_paper":"https://pith.science/paper/ZLV7NIXV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.22893&json=true","fetch_graph":"https://pith.science/api/pith-number/ZLV7NIXVKQU5XNXKGSUB663CEM/graph.json","fetch_events":"https://pith.science/api/pith-number/ZLV7NIXVKQU5XNXKGSUB663CEM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZLV7NIXVKQU5XNXKGSUB663CEM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZLV7NIXVKQU5XNXKGSUB663CEM/action/storage_attestation","attest_author":"https://pith.science/pith/ZLV7NIXVKQU5XNXKGSUB663CEM/action/author_attestation","sign_citation":"https://pith.science/pith/ZLV7NIXVKQU5XNXKGSUB663CEM/action/citation_signature","submit_replication":"https://pith.science/pith/ZLV7NIXVKQU5XNXKGSUB663CEM/action/replication_record"}},"created_at":"2026-07-05T11:28:47.296913+00:00","updated_at":"2026-07-05T11:28:47.296913+00:00"}