{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:I4JMETNFA7P7CYO6C2WNQYBZXF","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":"0e34e0cb516004a37fcf3f533d88d014a0992b30b19076610be5887cfa98e224","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2020-04-25T09:24:32Z","title_canon_sha256":"dcdc756daeae3111e974283be7b142e65e103d795840d2b952201f52cb9a2cc6"},"schema_version":"1.0","source":{"id":"2004.12095","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.12095","created_at":"2026-07-05T01:25:38Z"},{"alias_kind":"arxiv_version","alias_value":"2004.12095v2","created_at":"2026-07-05T01:25:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.12095","created_at":"2026-07-05T01:25:38Z"},{"alias_kind":"pith_short_12","alias_value":"I4JMETNFA7P7","created_at":"2026-07-05T01:25:38Z"},{"alias_kind":"pith_short_16","alias_value":"I4JMETNFA7P7CYO6","created_at":"2026-07-05T01:25:38Z"},{"alias_kind":"pith_short_8","alias_value":"I4JMETNF","created_at":"2026-07-05T01:25:38Z"}],"graph_snapshots":[{"event_id":"sha256:fe85c5fbe092f13b61e8a92d95e87b14abcb68636c01477c66bd14a0ebc45245","target":"graph","created_at":"2026-07-05T01:25:38Z","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/2004.12095/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We consider a typical heterogeneous network (HetNet), in which multiple access points (APs) are deployed to serve users by reusing the same spectrum band. Since different APs and users may cause severe interference to each other, advanced power control techniques are needed to manage the interference and enhance the sum-rate of the whole network. Conventional power control techniques first collect instantaneous global channel state information (CSI) and then calculate sub-optimal solutions. Nevertheless, it is challenging to collect instantaneous global CSI in the HetNet, in which global CSI t","authors_text":"Lin Zhang, Ying-Chang Liang","cross_cats":["eess.SP","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2020-04-25T09:24:32Z","title":"Deep Reinforcement Learning for Multi-Agent Power Control in Heterogeneous Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.12095","kind":"arxiv","version":2},"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:d30c671c04db1a17656b7cd7aab9e972316f2b984ca5edd36407c461ae4f36e4","target":"record","created_at":"2026-07-05T01:25:38Z","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":"0e34e0cb516004a37fcf3f533d88d014a0992b30b19076610be5887cfa98e224","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2020-04-25T09:24:32Z","title_canon_sha256":"dcdc756daeae3111e974283be7b142e65e103d795840d2b952201f52cb9a2cc6"},"schema_version":"1.0","source":{"id":"2004.12095","kind":"arxiv","version":2}},"canonical_sha256":"4712c24da507dff161de16acd86039b947d3dcf984c0aa03295b5185f35dd543","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4712c24da507dff161de16acd86039b947d3dcf984c0aa03295b5185f35dd543","first_computed_at":"2026-07-05T01:25:38.138661Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:25:38.138661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JnhJzkxLiIr4in/GCOwl1P4DzEAv4Jc3JVaskNBNSEIalMfipRfAdkDa2QxM4cp5QzHeUsPf049dgzPkwi7yAg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:25:38.139077Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.12095","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d30c671c04db1a17656b7cd7aab9e972316f2b984ca5edd36407c461ae4f36e4","sha256:fe85c5fbe092f13b61e8a92d95e87b14abcb68636c01477c66bd14a0ebc45245"],"state_sha256":"3d62374b662d8abff1be5fae508b0ac7069c33ac55ef7629d614d34596a03dff"}