{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:NZIEGR3LIO45JVC5VXMOA2XCHJ","short_pith_number":"pith:NZIEGR3L","canonical_record":{"source":{"id":"2107.01018","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2021-06-24T01:09:22Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"dc5f7c77615b10e621b91db5a34ed3807333fbfb902b474d5241f3804a187e87","abstract_canon_sha256":"48327218925c2429b463d53583d27ad1e03b946f24b6865b47cb8c0db28acf1f"},"schema_version":"1.0"},"canonical_sha256":"6e5043476b43b9d4d45dadd8e06ae23a60d40bb9b36470360a9bf99c6dc1dd93","source":{"kind":"arxiv","id":"2107.01018","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.01018","created_at":"2026-07-05T02:54:36Z"},{"alias_kind":"arxiv_version","alias_value":"2107.01018v1","created_at":"2026-07-05T02:54:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.01018","created_at":"2026-07-05T02:54:36Z"},{"alias_kind":"pith_short_12","alias_value":"NZIEGR3LIO45","created_at":"2026-07-05T02:54:36Z"},{"alias_kind":"pith_short_16","alias_value":"NZIEGR3LIO45JVC5","created_at":"2026-07-05T02:54:36Z"},{"alias_kind":"pith_short_8","alias_value":"NZIEGR3L","created_at":"2026-07-05T02:54:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:NZIEGR3LIO45JVC5VXMOA2XCHJ","target":"record","payload":{"canonical_record":{"source":{"id":"2107.01018","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2021-06-24T01:09:22Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"dc5f7c77615b10e621b91db5a34ed3807333fbfb902b474d5241f3804a187e87","abstract_canon_sha256":"48327218925c2429b463d53583d27ad1e03b946f24b6865b47cb8c0db28acf1f"},"schema_version":"1.0"},"canonical_sha256":"6e5043476b43b9d4d45dadd8e06ae23a60d40bb9b36470360a9bf99c6dc1dd93","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:54:36.376381Z","signature_b64":"ujmeC9mKeGgtg+a9VLiAfmljBI6WsShtVCRVKPh0evELcqOYJUbIs3VlmaZjX/xZdU7ycASDEZq9gpwuRJ8LBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6e5043476b43b9d4d45dadd8e06ae23a60d40bb9b36470360a9bf99c6dc1dd93","last_reissued_at":"2026-07-05T02:54:36.375974Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:54:36.375974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.01018","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:54:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4XlWqq7DGF/aE/ymOtdI/oYvGOksesXDXYHhkhpBbrG2obl+Y72Cj0rWQorjttVClIP6tmMpYnvymhm54U7KDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T13:48:33.452158Z"},"content_sha256":"9855f9266424a5c3a059b374604eee42c5afd36e5a4b86e91ae9b542fcda1947","schema_version":"1.0","event_id":"sha256:9855f9266424a5c3a059b374604eee42c5afd36e5a4b86e91ae9b542fcda1947"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:NZIEGR3LIO45JVC5VXMOA2XCHJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"cs.NI","authors_text":"Hao Zhou, Medhat Elsayed, Melike Erol-Kantarci","submitted_at":"2021-06-24T01:09:22Z","abstract_excerpt":"5G is regarded as a revolutionary mobile network, which is expected to satisfy a vast number of novel services, ranging from remote health care to smart cities. However, heterogeneous Quality of Service (QoS) requirements of different services and limited spectrum make the radio resource allocation a challenging problem in 5G. In this paper, we propose a multi-agent reinforcement learning (MARL) method for radio resource slicing in 5G. We model each slice as an intelligent agent that competes for limited radio resources, and the correlated Q-learning is applied for inter-slice resource block ("},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.01018","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/2107.01018/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:54:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Sk6nGR2Ng55kYUfUSVBEz2BBIp4pzk6Az3WppljHSZDmnjT4WB6AhMGExgYFoiTAFQR16T42rcqkuppw4VBXAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T13:48:33.452453Z"},"content_sha256":"0344d5c0f2c5bf2f43cc2e904d5c2381c62e5afc09d7cea4b3e8ecc05387645c","schema_version":"1.0","event_id":"sha256:0344d5c0f2c5bf2f43cc2e904d5c2381c62e5afc09d7cea4b3e8ecc05387645c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NZIEGR3LIO45JVC5VXMOA2XCHJ/bundle.json","state_url":"https://pith.science/pith/NZIEGR3LIO45JVC5VXMOA2XCHJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NZIEGR3LIO45JVC5VXMOA2XCHJ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-31T13:48:33Z","links":{"resolver":"https://pith.science/pith/NZIEGR3LIO45JVC5VXMOA2XCHJ","bundle":"https://pith.science/pith/NZIEGR3LIO45JVC5VXMOA2XCHJ/bundle.json","state":"https://pith.science/pith/NZIEGR3LIO45JVC5VXMOA2XCHJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NZIEGR3LIO45JVC5VXMOA2XCHJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:NZIEGR3LIO45JVC5VXMOA2XCHJ","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":"48327218925c2429b463d53583d27ad1e03b946f24b6865b47cb8c0db28acf1f","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2021-06-24T01:09:22Z","title_canon_sha256":"dc5f7c77615b10e621b91db5a34ed3807333fbfb902b474d5241f3804a187e87"},"schema_version":"1.0","source":{"id":"2107.01018","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.01018","created_at":"2026-07-05T02:54:36Z"},{"alias_kind":"arxiv_version","alias_value":"2107.01018v1","created_at":"2026-07-05T02:54:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.01018","created_at":"2026-07-05T02:54:36Z"},{"alias_kind":"pith_short_12","alias_value":"NZIEGR3LIO45","created_at":"2026-07-05T02:54:36Z"},{"alias_kind":"pith_short_16","alias_value":"NZIEGR3LIO45JVC5","created_at":"2026-07-05T02:54:36Z"},{"alias_kind":"pith_short_8","alias_value":"NZIEGR3L","created_at":"2026-07-05T02:54:36Z"}],"graph_snapshots":[{"event_id":"sha256:0344d5c0f2c5bf2f43cc2e904d5c2381c62e5afc09d7cea4b3e8ecc05387645c","target":"graph","created_at":"2026-07-05T02:54:36Z","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/2107.01018/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"5G is regarded as a revolutionary mobile network, which is expected to satisfy a vast number of novel services, ranging from remote health care to smart cities. However, heterogeneous Quality of Service (QoS) requirements of different services and limited spectrum make the radio resource allocation a challenging problem in 5G. In this paper, we propose a multi-agent reinforcement learning (MARL) method for radio resource slicing in 5G. We model each slice as an intelligent agent that competes for limited radio resources, and the correlated Q-learning is applied for inter-slice resource block (","authors_text":"Hao Zhou, Medhat Elsayed, Melike Erol-Kantarci","cross_cats":["cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2021-06-24T01:09:22Z","title":"RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.01018","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":"sha256:9855f9266424a5c3a059b374604eee42c5afd36e5a4b86e91ae9b542fcda1947","target":"record","created_at":"2026-07-05T02:54:36Z","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":"48327218925c2429b463d53583d27ad1e03b946f24b6865b47cb8c0db28acf1f","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2021-06-24T01:09:22Z","title_canon_sha256":"dc5f7c77615b10e621b91db5a34ed3807333fbfb902b474d5241f3804a187e87"},"schema_version":"1.0","source":{"id":"2107.01018","kind":"arxiv","version":1}},"canonical_sha256":"6e5043476b43b9d4d45dadd8e06ae23a60d40bb9b36470360a9bf99c6dc1dd93","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6e5043476b43b9d4d45dadd8e06ae23a60d40bb9b36470360a9bf99c6dc1dd93","first_computed_at":"2026-07-05T02:54:36.375974Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:54:36.375974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ujmeC9mKeGgtg+a9VLiAfmljBI6WsShtVCRVKPh0evELcqOYJUbIs3VlmaZjX/xZdU7ycASDEZq9gpwuRJ8LBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:54:36.376381Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.01018","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9855f9266424a5c3a059b374604eee42c5afd36e5a4b86e91ae9b542fcda1947","sha256:0344d5c0f2c5bf2f43cc2e904d5c2381c62e5afc09d7cea4b3e8ecc05387645c"],"state_sha256":"468dabeb8d436743333bd82105d80adcdc8ee116328c24ceeeeb2c951e1c7613"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XoI0mqBrO60vtTM8m+ODcWkQ07eXNY7VDpPg2WfD8rFBoRiVudmfTa+vcY5wxQFRINDwVOLxWkI7FbGSVH/9Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T13:48:33.455681Z","bundle_sha256":"6dc57d2b7372b32e09deb20030207e436d10f3cc860637e32de0f159340b5291"}}