{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:UK6N6NFJ64WUXIEP5KQVIKSE42","short_pith_number":"pith:UK6N6NFJ","schema_version":"1.0","canonical_sha256":"a2bcdf34a9f72d4ba08feaa1542a44e6a1ad49ff92aa4ceeb58e892d71b98034","source":{"kind":"arxiv","id":"2504.10915","version":2},"attestation_state":"computed","paper":{"title":"LOKA Protocol: A Decentralized Framework for Trustworthy and Ethical AI Agent Ecosystems","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.CY"],"primary_cat":"cs.MA","authors_text":"Rajesh Ranjan, Shailja Gupta, Surya Narayan Singh","submitted_at":"2025-04-15T06:51:35Z","abstract_excerpt":"The rise of autonomous AI agents, capable of perceiving, reasoning, and acting independently, signals a profound shift in how digital ecosystems operate, govern, and evolve. As these agents proliferate beyond centralized infrastructures, they expose foundational gaps in identity, accountability, and ethical alignment. Three critical questions emerge: Identity: Who or what is the agent? Accountability: Can its actions be verified, audited, and trusted? Ethical Consensus: Can autonomous systems reliably align with human values and prevent harmful emergent behaviors? We present the novel LOKA Pro"},"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":"2504.10915","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.MA","submitted_at":"2025-04-15T06:51:35Z","cross_cats_sorted":["cs.AI","cs.CY"],"title_canon_sha256":"6ba441343c417497ca4e7f09d45a143a6d63759c1e84a5e5bf06ab980a54d868","abstract_canon_sha256":"996afd5b6bfcbeddedb3e2c6d369d756671448e5a7a92156d58be6ac0d6234e7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:52:22.588963Z","signature_b64":"3ih3f0uLrBgXdr+3l6SxXY7e29lyWaapflsOw7fklIMsBn6RO23nrNTHh5FAot54GUeg4yi2LSoVxga8Ou4+BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2bcdf34a9f72d4ba08feaa1542a44e6a1ad49ff92aa4ceeb58e892d71b98034","last_reissued_at":"2026-07-05T10:52:22.588453Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:52:22.588453Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"LOKA Protocol: A Decentralized Framework for Trustworthy and Ethical AI Agent Ecosystems","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.CY"],"primary_cat":"cs.MA","authors_text":"Rajesh Ranjan, Shailja Gupta, Surya Narayan Singh","submitted_at":"2025-04-15T06:51:35Z","abstract_excerpt":"The rise of autonomous AI agents, capable of perceiving, reasoning, and acting independently, signals a profound shift in how digital ecosystems operate, govern, and evolve. As these agents proliferate beyond centralized infrastructures, they expose foundational gaps in identity, accountability, and ethical alignment. Three critical questions emerge: Identity: Who or what is the agent? Accountability: Can its actions be verified, audited, and trusted? Ethical Consensus: Can autonomous systems reliably align with human values and prevent harmful emergent behaviors? We present the novel LOKA Pro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.10915","kind":"arxiv","version":2},"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/2504.10915/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":"2504.10915","created_at":"2026-07-05T10:52:22.588516+00:00"},{"alias_kind":"arxiv_version","alias_value":"2504.10915v2","created_at":"2026-07-05T10:52:22.588516+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.10915","created_at":"2026-07-05T10:52:22.588516+00:00"},{"alias_kind":"pith_short_12","alias_value":"UK6N6NFJ64WU","created_at":"2026-07-05T10:52:22.588516+00:00"},{"alias_kind":"pith_short_16","alias_value":"UK6N6NFJ64WUXIEP","created_at":"2026-07-05T10:52:22.588516+00:00"},{"alias_kind":"pith_short_8","alias_value":"UK6N6NFJ","created_at":"2026-07-05T10:52:22.588516+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":6,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.19135","citing_title":"A Technical Taxonomy of LLM Agent Communication Protocols","ref_index":110,"is_internal_anchor":false},{"citing_arxiv_id":"2606.17368","citing_title":"Distributed General-Purpose Agent Networks: Architecture, Key Mechanisms, and Prototypes","ref_index":36,"is_internal_anchor":false},{"citing_arxiv_id":"2606.12128","citing_title":"From Agent Identity to Agent Economy: Measuring the Operational Readiness of ERC-8004 AI Agents","ref_index":16,"is_internal_anchor":false},{"citing_arxiv_id":"2606.20573","citing_title":"AONA: A Comprehensive Architecture and Workflow Design for Global Agentic Collaboration","ref_index":18,"is_internal_anchor":false},{"citing_arxiv_id":"2606.00962","citing_title":"SS-ZKR: Spatial-Semantic Zero-Knowledge Routing for Privacy-Preserving Multi-Agent Collaboration","ref_index":10,"is_internal_anchor":false},{"citing_arxiv_id":"2604.16338","citing_title":"Governing the Agentic Enterprise: A Governance Maturity Model for Managing AI Agent Sprawl in Business Operations","ref_index":27,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/UK6N6NFJ64WUXIEP5KQVIKSE42","json":"https://pith.science/pith/UK6N6NFJ64WUXIEP5KQVIKSE42.json","graph_json":"https://pith.science/api/pith-number/UK6N6NFJ64WUXIEP5KQVIKSE42/graph.json","events_json":"https://pith.science/api/pith-number/UK6N6NFJ64WUXIEP5KQVIKSE42/events.json","paper":"https://pith.science/paper/UK6N6NFJ"},"agent_actions":{"view_html":"https://pith.science/pith/UK6N6NFJ64WUXIEP5KQVIKSE42","download_json":"https://pith.science/pith/UK6N6NFJ64WUXIEP5KQVIKSE42.json","view_paper":"https://pith.science/paper/UK6N6NFJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2504.10915&json=true","fetch_graph":"https://pith.science/api/pith-number/UK6N6NFJ64WUXIEP5KQVIKSE42/graph.json","fetch_events":"https://pith.science/api/pith-number/UK6N6NFJ64WUXIEP5KQVIKSE42/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UK6N6NFJ64WUXIEP5KQVIKSE42/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UK6N6NFJ64WUXIEP5KQVIKSE42/action/storage_attestation","attest_author":"https://pith.science/pith/UK6N6NFJ64WUXIEP5KQVIKSE42/action/author_attestation","sign_citation":"https://pith.science/pith/UK6N6NFJ64WUXIEP5KQVIKSE42/action/citation_signature","submit_replication":"https://pith.science/pith/UK6N6NFJ64WUXIEP5KQVIKSE42/action/replication_record"}},"created_at":"2026-07-05T10:52:22.588516+00:00","updated_at":"2026-07-05T10:52:22.588516+00:00"}