{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:3VICQIRDZS4JYDCNGCRQXU3DMV","short_pith_number":"pith:3VICQIRD","canonical_record":{"source":{"id":"1303.4638","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.LG","submitted_at":"2013-03-13T10:22:09Z","cross_cats_sorted":["cs.GT"],"title_canon_sha256":"9e140dda7a1f2575d76a894c2230c1283ab1afa3018462994311f71bd5094d30","abstract_canon_sha256":"a2f44aab0190a654da1cc7c4293c9df9b33f2e170edf987dc582fec4df8918e9"},"schema_version":"1.0"},"canonical_sha256":"dd50282223ccb89c0c4d30a30bd3636561085754240e498caadb251a8d2bf1bb","source":{"kind":"arxiv","id":"1303.4638","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1303.4638","created_at":"2026-05-18T03:30:26Z"},{"alias_kind":"arxiv_version","alias_value":"1303.4638v1","created_at":"2026-05-18T03:30:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1303.4638","created_at":"2026-05-18T03:30:26Z"},{"alias_kind":"pith_short_12","alias_value":"3VICQIRDZS4J","created_at":"2026-05-18T12:27:32Z"},{"alias_kind":"pith_short_16","alias_value":"3VICQIRDZS4JYDCN","created_at":"2026-05-18T12:27:32Z"},{"alias_kind":"pith_short_8","alias_value":"3VICQIRD","created_at":"2026-05-18T12:27:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:3VICQIRDZS4JYDCNGCRQXU3DMV","target":"record","payload":{"canonical_record":{"source":{"id":"1303.4638","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.LG","submitted_at":"2013-03-13T10:22:09Z","cross_cats_sorted":["cs.GT"],"title_canon_sha256":"9e140dda7a1f2575d76a894c2230c1283ab1afa3018462994311f71bd5094d30","abstract_canon_sha256":"a2f44aab0190a654da1cc7c4293c9df9b33f2e170edf987dc582fec4df8918e9"},"schema_version":"1.0"},"canonical_sha256":"dd50282223ccb89c0c4d30a30bd3636561085754240e498caadb251a8d2bf1bb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:30:26.653298Z","signature_b64":"5kPKU4BFMw8wdaPHo6xTnmUlWGM7hnFO/y3YNmuLGWDzfRt0vywrmN2VpRBCY9ovd2iuBgeYqzviOlAFE0atAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd50282223ccb89c0c4d30a30bd3636561085754240e498caadb251a8d2bf1bb","last_reissued_at":"2026-05-18T03:30:26.652612Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:30:26.652612Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1303.4638","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":"2026-05-18T03:30:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fJsXdPUZnL2XOAO7aIXp0ma3cHPi4ivvMkz2WbLz7kPiRLUChzAmRrKcg8pko5Lv1BJQy0Rg+53NcWCyNnPECw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T04:32:06.412740Z"},"content_sha256":"5dce76d1381492de16f8bc7a970d0b85242d75484d79c54e13f0967fc307dba9","schema_version":"1.0","event_id":"sha256:5dce76d1381492de16f8bc7a970d0b85242d75484d79c54e13f0967fc307dba9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:3VICQIRDZS4JYDCNGCRQXU3DMV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On Improving Energy Efficiency within Green Femtocell Networks: A Hierarchical Reinforcement Learning Approach","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","headline":"","cross_cats":["cs.GT"],"primary_cat":"cs.LG","authors_text":"Honggang Zhang, Jacques Palicot, Mika Lasanen, Tao Chen, Xianfu Chen","submitted_at":"2013-03-13T10:22:09Z","abstract_excerpt":"One of the efficient solutions of improving coverage and increasing capacity in cellular networks is the deployment of femtocells. As the cellular networks are becoming more complex, energy consumption of whole network infrastructure is becoming important in terms of both operational costs and environmental impacts. This paper investigates energy efficiency of two-tier femtocell networks through combining game theory and stochastic learning. With the Stackelberg game formulation, a hierarchical reinforcement learning framework is applied for studying the joint expected utility maximization of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1303.4638","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":""},"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":"2026-05-18T03:30:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n2iOCRRI8QGlaemcIrHn849cAYw/d4gYSFri7/1eNP1OfmOMnQcXXNOClJ1ed3hbM2f7WJ4QDHtxWHP9c9tBDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T04:32:06.413086Z"},"content_sha256":"e8259625a0117680f7869cd12ab23df111991155da5a44337a4203fa49582263","schema_version":"1.0","event_id":"sha256:e8259625a0117680f7869cd12ab23df111991155da5a44337a4203fa49582263"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3VICQIRDZS4JYDCNGCRQXU3DMV/bundle.json","state_url":"https://pith.science/pith/3VICQIRDZS4JYDCNGCRQXU3DMV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3VICQIRDZS4JYDCNGCRQXU3DMV/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":"2026-06-02T04:32:06Z","links":{"resolver":"https://pith.science/pith/3VICQIRDZS4JYDCNGCRQXU3DMV","bundle":"https://pith.science/pith/3VICQIRDZS4JYDCNGCRQXU3DMV/bundle.json","state":"https://pith.science/pith/3VICQIRDZS4JYDCNGCRQXU3DMV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3VICQIRDZS4JYDCNGCRQXU3DMV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:3VICQIRDZS4JYDCNGCRQXU3DMV","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":"a2f44aab0190a654da1cc7c4293c9df9b33f2e170edf987dc582fec4df8918e9","cross_cats_sorted":["cs.GT"],"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.LG","submitted_at":"2013-03-13T10:22:09Z","title_canon_sha256":"9e140dda7a1f2575d76a894c2230c1283ab1afa3018462994311f71bd5094d30"},"schema_version":"1.0","source":{"id":"1303.4638","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1303.4638","created_at":"2026-05-18T03:30:26Z"},{"alias_kind":"arxiv_version","alias_value":"1303.4638v1","created_at":"2026-05-18T03:30:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1303.4638","created_at":"2026-05-18T03:30:26Z"},{"alias_kind":"pith_short_12","alias_value":"3VICQIRDZS4J","created_at":"2026-05-18T12:27:32Z"},{"alias_kind":"pith_short_16","alias_value":"3VICQIRDZS4JYDCN","created_at":"2026-05-18T12:27:32Z"},{"alias_kind":"pith_short_8","alias_value":"3VICQIRD","created_at":"2026-05-18T12:27:32Z"}],"graph_snapshots":[{"event_id":"sha256:e8259625a0117680f7869cd12ab23df111991155da5a44337a4203fa49582263","target":"graph","created_at":"2026-05-18T03:30:26Z","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"},"paper":{"abstract_excerpt":"One of the efficient solutions of improving coverage and increasing capacity in cellular networks is the deployment of femtocells. As the cellular networks are becoming more complex, energy consumption of whole network infrastructure is becoming important in terms of both operational costs and environmental impacts. This paper investigates energy efficiency of two-tier femtocell networks through combining game theory and stochastic learning. With the Stackelberg game formulation, a hierarchical reinforcement learning framework is applied for studying the joint expected utility maximization of ","authors_text":"Honggang Zhang, Jacques Palicot, Mika Lasanen, Tao Chen, Xianfu Chen","cross_cats":["cs.GT"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.LG","submitted_at":"2013-03-13T10:22:09Z","title":"On Improving Energy Efficiency within Green Femtocell Networks: A Hierarchical Reinforcement Learning Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1303.4638","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":"sha256:5dce76d1381492de16f8bc7a970d0b85242d75484d79c54e13f0967fc307dba9","target":"record","created_at":"2026-05-18T03:30:26Z","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":"a2f44aab0190a654da1cc7c4293c9df9b33f2e170edf987dc582fec4df8918e9","cross_cats_sorted":["cs.GT"],"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.LG","submitted_at":"2013-03-13T10:22:09Z","title_canon_sha256":"9e140dda7a1f2575d76a894c2230c1283ab1afa3018462994311f71bd5094d30"},"schema_version":"1.0","source":{"id":"1303.4638","kind":"arxiv","version":1}},"canonical_sha256":"dd50282223ccb89c0c4d30a30bd3636561085754240e498caadb251a8d2bf1bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd50282223ccb89c0c4d30a30bd3636561085754240e498caadb251a8d2bf1bb","first_computed_at":"2026-05-18T03:30:26.652612Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:30:26.652612Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5kPKU4BFMw8wdaPHo6xTnmUlWGM7hnFO/y3YNmuLGWDzfRt0vywrmN2VpRBCY9ovd2iuBgeYqzviOlAFE0atAw==","signature_status":"signed_v1","signed_at":"2026-05-18T03:30:26.653298Z","signed_message":"canonical_sha256_bytes"},"source_id":"1303.4638","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5dce76d1381492de16f8bc7a970d0b85242d75484d79c54e13f0967fc307dba9","sha256:e8259625a0117680f7869cd12ab23df111991155da5a44337a4203fa49582263"],"state_sha256":"0e0b9101874eca8350662faae68c0c2f9fe052ccbbf75bfb11e1f29484340e6d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LSpsFr+2iQdCBL7lrzGjHHrlZovCj5Y4bH/DmZE1UI50RbkhmyripG7UeqBpLMeJant+3SHHsp1ONlTlWO60DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T04:32:06.415561Z","bundle_sha256":"593a01da4f4ab53fbdc90cf9e9e8eb9eafe1e57276fed5d48e1ad5999354f05f"}}