{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KDOX5KM4ONE4IMKC5FHBGD3KDG","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"bd9f7fdb810bc1e52d1cef4763b22fd8f48c1b0fa427f4beda340327d61fd629","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2026-05-29T23:13:46Z","title_canon_sha256":"a32119888c2dade41ab742f80fd152b9bb2e050188c6ac8f39c57eba9384266d"},"schema_version":"1.0","source":{"id":"2606.00417","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00417","created_at":"2026-06-02T01:03:54Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00417v1","created_at":"2026-06-02T01:03:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00417","created_at":"2026-06-02T01:03:54Z"},{"alias_kind":"pith_short_12","alias_value":"KDOX5KM4ONE4","created_at":"2026-06-02T01:03:54Z"},{"alias_kind":"pith_short_16","alias_value":"KDOX5KM4ONE4IMKC","created_at":"2026-06-02T01:03:54Z"},{"alias_kind":"pith_short_8","alias_value":"KDOX5KM4","created_at":"2026-06-02T01:03:54Z"}],"graph_snapshots":[{"event_id":"sha256:ff0a3bf7ef9a7d960e3317c7addcc678df626a869f2295ff29307476d74f5db7","target":"graph","created_at":"2026-06-02T01:03:54Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2606.00417/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To meet the stringent requirements of emerging applications and the increasingly complex network management and operation, the Next Generation Mobile Networks (NextG), or 6G, will adopt an AI-native architecture on the Core Network (CN). In this movement, the Third Generation Partnership Project (3GPP) has extended the cellular CN with new function as a first step toward integrating analytics, Artificial Intelligence (AI), and machine learning. However, those new functionalities are constrained by a centralized approach and managerial complexity. Furthermore, with the rise of Large Language Mo","authors_text":"Kelvin L. Dias, Maria Katarine Santana Barbosa","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2026-05-29T23:13:46Z","title":"AgentxGCore: Agentic AI for Next-Generation Mobile Core Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00417","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:0c52a93b3c4a097ca5adec17c9f3646189403adfec5380126698945b07ea88d8","target":"record","created_at":"2026-06-02T01:03:54Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"bd9f7fdb810bc1e52d1cef4763b22fd8f48c1b0fa427f4beda340327d61fd629","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2026-05-29T23:13:46Z","title_canon_sha256":"a32119888c2dade41ab742f80fd152b9bb2e050188c6ac8f39c57eba9384266d"},"schema_version":"1.0","source":{"id":"2606.00417","kind":"arxiv","version":1}},"canonical_sha256":"50dd7ea99c7349c43142e94e130f6a19b9cafda713630c82c42ba7b7cc92c548","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50dd7ea99c7349c43142e94e130f6a19b9cafda713630c82c42ba7b7cc92c548","first_computed_at":"2026-06-02T01:03:54.004759Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:03:54.004759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iZ94AT+9ph1PJsU3+4QEYsuPO9UXFTudBLU6IEwYYXjgVvQO4DsXhrlZbFFIiczAr7EI3bMHEXOcA5lBhPq4DA==","signature_status":"signed_v1","signed_at":"2026-06-02T01:03:54.005124Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.00417","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0c52a93b3c4a097ca5adec17c9f3646189403adfec5380126698945b07ea88d8","sha256:ff0a3bf7ef9a7d960e3317c7addcc678df626a869f2295ff29307476d74f5db7"],"state_sha256":"4b0a99b56b668fb7b2ae989972774f182f84b8d36b318cc4a3dbf957d65aa27d"}