{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:3NZFBSNZ7WUU7DCOWVLBVLZO5E","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":"e34b3ca42016ef3fd0b664d1981afe18569088d4aae954e3ca95efde16c07672","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2023-04-19T15:15:29Z","title_canon_sha256":"776ea1c8fef238166db224b97988d99b853a89659db8d4c73577560f28d29e65"},"schema_version":"1.0","source":{"id":"2304.09727","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.09727","created_at":"2026-07-05T06:02:41Z"},{"alias_kind":"arxiv_version","alias_value":"2304.09727v1","created_at":"2026-07-05T06:02:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.09727","created_at":"2026-07-05T06:02:41Z"},{"alias_kind":"pith_short_12","alias_value":"3NZFBSNZ7WUU","created_at":"2026-07-05T06:02:41Z"},{"alias_kind":"pith_short_16","alias_value":"3NZFBSNZ7WUU7DCO","created_at":"2026-07-05T06:02:41Z"},{"alias_kind":"pith_short_8","alias_value":"3NZFBSNZ","created_at":"2026-07-05T06:02:41Z"}],"graph_snapshots":[{"event_id":"sha256:444aeaba6c6582676aa1e2255d18a15435339973240db4a5a6e41e660ee8313f","target":"graph","created_at":"2026-07-05T06:02:41Z","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/2304.09727/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper investigates the problem of activity detection and channel estimation in cooperative multi-cell massive access systems with temporally correlated activity, where all access points (APs) are connected to a central unit via fronthaul links. We propose to perform user-centric AP cooperation for computation burden alleviation and introduce a generalized sliding-window detection strategy for fully exploiting the temporal correlation in activity. By establishing the probabilistic model associated with the factor graph representation, we propose a scalable Dynamic Compressed Sensing-based ","authors_text":"Fan Xu, Meixia Tao, Weifeng Zhu, Xiaojun Yuan, Yunfeng Guan","cross_cats":["cs.IT","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2023-04-19T15:15:29Z","title":"Cooperative Multi-Cell Massive Access with Temporally Correlated Activity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.09727","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":"sha256:0f5d74a6ec924f0bc0d2c31fdb38cdb7ced5a91f82320f8c32cc1be751a56f4c","target":"record","created_at":"2026-07-05T06:02:41Z","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":"e34b3ca42016ef3fd0b664d1981afe18569088d4aae954e3ca95efde16c07672","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2023-04-19T15:15:29Z","title_canon_sha256":"776ea1c8fef238166db224b97988d99b853a89659db8d4c73577560f28d29e65"},"schema_version":"1.0","source":{"id":"2304.09727","kind":"arxiv","version":1}},"canonical_sha256":"db7250c9b9fda94f8c4eb5561aaf2ee90de1a20e32f7e5ba987c036ccbb50efd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db7250c9b9fda94f8c4eb5561aaf2ee90de1a20e32f7e5ba987c036ccbb50efd","first_computed_at":"2026-07-05T06:02:41.655387Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:02:41.655387Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1cON8A8mawZTKDF0CswgbDAAIr2l4VAYq2PehTXiKTJyv3fjLbB6ONBYfKi2m8M+gTETQSfoOZsANY5E31GPCw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:02:41.655797Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.09727","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0f5d74a6ec924f0bc0d2c31fdb38cdb7ced5a91f82320f8c32cc1be751a56f4c","sha256:444aeaba6c6582676aa1e2255d18a15435339973240db4a5a6e41e660ee8313f"],"state_sha256":"00d82ca4e358ff1270aa26411d545e55b5703dbde801758860f4ee36fb1ed3f5"}