{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:RVGO73BARFWG6DBDSKFIHTUCCS","short_pith_number":"pith:RVGO73BA","schema_version":"1.0","canonical_sha256":"8d4cefec20896c6f0c23928a83ce8214aaa938d2b42a00be6ce975831cb84587","source":{"kind":"arxiv","id":"2601.14567","version":2},"attestation_state":"computed","paper":{"title":"Agent Identity URI Scheme: Topology-Independent Naming and Capability-Based Discovery for Multi-Agent Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR","cs.DC"],"primary_cat":"cs.MA","authors_text":"Roland R. Rodriguez Jr","submitted_at":"2026-01-21T01:09:22Z","abstract_excerpt":"Multi-agent systems face a fundamental architectural flaw: agent identity is bound to network location. When agents migrate between providers, scale across instances, or federate across organizations, URI-based identity schemes break references, fragment audit trails, and require centralized coordination. We propose the agent:// URI scheme, which decouples identity from topology through three orthogonal components: a trust root establishing organizational authority, a hierarchical capability path enabling semantic discovery, and a sortable unique identifier providing stable reference. The sche"},"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":"2601.14567","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-01-21T01:09:22Z","cross_cats_sorted":["cs.CR","cs.DC"],"title_canon_sha256":"54dca0f7765304451352b84ec77e35ed8889fc1398fee8de6ca073cbf0b996b9","abstract_canon_sha256":"283c2432423d6aac24684a81335918f790cbeab420ea8c58d14e539ca5f43f61"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-15T00:21:16.030528Z","signature_b64":"zKBkuIYIVAlYZM42vQDZb2rkeAplVL76HbrHb6pTdQbBlnvnxwjN37GOKbbtpOdh2hQUjfa64a6uncjhpQlhDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8d4cefec20896c6f0c23928a83ce8214aaa938d2b42a00be6ce975831cb84587","last_reissued_at":"2026-07-15T00:21:16.029651Z","signature_status":"signed_v1","first_computed_at":"2026-07-15T00:21:16.029651Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Agent Identity URI Scheme: Topology-Independent Naming and Capability-Based Discovery for Multi-Agent Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR","cs.DC"],"primary_cat":"cs.MA","authors_text":"Roland R. Rodriguez Jr","submitted_at":"2026-01-21T01:09:22Z","abstract_excerpt":"Multi-agent systems face a fundamental architectural flaw: agent identity is bound to network location. When agents migrate between providers, scale across instances, or federate across organizations, URI-based identity schemes break references, fragment audit trails, and require centralized coordination. We propose the agent:// URI scheme, which decouples identity from topology through three orthogonal components: a trust root establishing organizational authority, a hierarchical capability path enabling semantic discovery, and a sortable unique identifier providing stable reference. The sche"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.14567","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/2601.14567/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":"2601.14567","created_at":"2026-07-15T00:21:16.030080+00:00"},{"alias_kind":"arxiv_version","alias_value":"2601.14567v2","created_at":"2026-07-15T00:21:16.030080+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.14567","created_at":"2026-07-15T00:21:16.030080+00:00"},{"alias_kind":"pith_short_12","alias_value":"RVGO73BARFWG","created_at":"2026-07-15T00:21:16.030080+00:00"},{"alias_kind":"pith_short_16","alias_value":"RVGO73BARFWG6DBD","created_at":"2026-07-15T00:21:16.030080+00:00"},{"alias_kind":"pith_short_8","alias_value":"RVGO73BA","created_at":"2026-07-15T00:21:16.030080+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2608.11738","citing_title":"Advancing MLLM-based UAV Image Understanding and Reasoning: A Benchmark and a Training-Free Multi-Agent System","ref_index":31,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/RVGO73BARFWG6DBDSKFIHTUCCS","json":"https://pith.science/pith/RVGO73BARFWG6DBDSKFIHTUCCS.json","graph_json":"https://pith.science/api/pith-number/RVGO73BARFWG6DBDSKFIHTUCCS/graph.json","events_json":"https://pith.science/api/pith-number/RVGO73BARFWG6DBDSKFIHTUCCS/events.json","paper":"https://pith.science/paper/RVGO73BA"},"agent_actions":{"view_html":"https://pith.science/pith/RVGO73BARFWG6DBDSKFIHTUCCS","download_json":"https://pith.science/pith/RVGO73BARFWG6DBDSKFIHTUCCS.json","view_paper":"https://pith.science/paper/RVGO73BA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2601.14567&json=true","fetch_graph":"https://pith.science/api/pith-number/RVGO73BARFWG6DBDSKFIHTUCCS/graph.json","fetch_events":"https://pith.science/api/pith-number/RVGO73BARFWG6DBDSKFIHTUCCS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RVGO73BARFWG6DBDSKFIHTUCCS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RVGO73BARFWG6DBDSKFIHTUCCS/action/storage_attestation","attest_author":"https://pith.science/pith/RVGO73BARFWG6DBDSKFIHTUCCS/action/author_attestation","sign_citation":"https://pith.science/pith/RVGO73BARFWG6DBDSKFIHTUCCS/action/citation_signature","submit_replication":"https://pith.science/pith/RVGO73BARFWG6DBDSKFIHTUCCS/action/replication_record"}},"created_at":"2026-07-15T00:21:16.030080+00:00","updated_at":"2026-07-15T00:21:16.030080+00:00"}