{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6ZTLGPVMIOJWD7QN2YCHTT2Q56","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":"b36d1e66459b0d54ad18c79e3f0f72ed63bb064e76ed215763fe1a38a41bed49","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2025-02-05T04:53:56Z","title_canon_sha256":"5085c72310a6fc6fc3f8549271348c3627d996aec30d5121478b0849a570b142"},"schema_version":"1.0","source":{"id":"2502.02886","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.02886","created_at":"2026-07-05T11:44:00Z"},{"alias_kind":"arxiv_version","alias_value":"2502.02886v3","created_at":"2026-07-05T11:44:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.02886","created_at":"2026-07-05T11:44:00Z"},{"alias_kind":"pith_short_12","alias_value":"6ZTLGPVMIOJW","created_at":"2026-07-05T11:44:00Z"},{"alias_kind":"pith_short_16","alias_value":"6ZTLGPVMIOJWD7QN","created_at":"2026-07-05T11:44:00Z"},{"alias_kind":"pith_short_8","alias_value":"6ZTLGPVM","created_at":"2026-07-05T11:44:00Z"}],"graph_snapshots":[{"event_id":"sha256:82220fdc4decb7c15a83c321c1103d440583c6aa157c59c5b4c5667c471499a1","target":"graph","created_at":"2026-07-05T11:44:00Z","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/2502.02886/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mobile Edge Computing (MEC) and Open Radio Access Networks (ORAN) are transformative technologies in the development of next-generation wireless communication systems. MEC pushes computational resources closer to end-users, enabling low latency and efficient processing, while ORAN promotes interoperability and openness in radio networks, thereby fostering innovation. This paper explores recent advancements in these two domains, with a particular focus on how Artificial Intelligence (AI) and Machine Learning (ML) techniques are being utilized to solve complex wireless challenges. In MEC, Deep R","authors_text":"Fatemeh Afghah, Ryan Barker, Tolunay Seyfi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2025-02-05T04:53:56Z","title":"Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.02886","kind":"arxiv","version":3},"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":"sha256:7f8732449e5ea86c83ba536b10ead82ba0c226b4b1efe678a92d14330f697719","target":"record","created_at":"2026-07-05T11:44:00Z","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":"b36d1e66459b0d54ad18c79e3f0f72ed63bb064e76ed215763fe1a38a41bed49","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2025-02-05T04:53:56Z","title_canon_sha256":"5085c72310a6fc6fc3f8549271348c3627d996aec30d5121478b0849a570b142"},"schema_version":"1.0","source":{"id":"2502.02886","kind":"arxiv","version":3}},"canonical_sha256":"f666b33eac439361fe0dd60479cf50efb0eb5632f7eb869e762a826f0e2f5a3f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f666b33eac439361fe0dd60479cf50efb0eb5632f7eb869e762a826f0e2f5a3f","first_computed_at":"2026-07-05T11:44:00.799871Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:44:00.799871Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2swJwJ2oDLM5uQidH+45ycFPQGMN644rBxdLyCVbEfbjMuhBQPf+j1oz2sPXx7AsdKm5ZwrEBxqTxREsTgSfAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:44:00.800456Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.02886","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f8732449e5ea86c83ba536b10ead82ba0c226b4b1efe678a92d14330f697719","sha256:82220fdc4decb7c15a83c321c1103d440583c6aa157c59c5b4c5667c471499a1"],"state_sha256":"252290a54da873d134dc199d8fa2c92ebdd5ba9ef1c4d0894731d1b4c099b308"}