{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:73HE4ZNX4UT7JRQ5DS7LCGNMKV","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":"683b422e25ad7c513a87a3030362df78637f1dc91ea2357015c6d9e2a32b172d","cross_cats_sorted":["cs.LG","cs.NI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2024-04-10T02:48:13Z","title_canon_sha256":"ded5aa4dd476c799cb51b2edbeffc08ef4508b70cfcdd5576a3ef93d40b8519a"},"schema_version":"1.0","source":{"id":"2404.15337","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.15337","created_at":"2026-07-05T08:11:26Z"},{"alias_kind":"arxiv_version","alias_value":"2404.15337v1","created_at":"2026-07-05T08:11:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.15337","created_at":"2026-07-05T08:11:26Z"},{"alias_kind":"pith_short_12","alias_value":"73HE4ZNX4UT7","created_at":"2026-07-05T08:11:26Z"},{"alias_kind":"pith_short_16","alias_value":"73HE4ZNX4UT7JRQ5","created_at":"2026-07-05T08:11:26Z"},{"alias_kind":"pith_short_8","alias_value":"73HE4ZNX","created_at":"2026-07-05T08:11:26Z"}],"graph_snapshots":[{"event_id":"sha256:2d4576df51223340ba06e1688bdb253e35fb997be15491cb197e5c93c32b9bf5","target":"graph","created_at":"2026-07-05T08:11:26Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2404.15337/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the expanding field of the Internet of Things (IoT), wireless channel estimation is a significant challenge. This is specifically true for low-power IoT (LP-IoT) communication, where efficiency and accuracy are extremely important. This research establishes two distinct LP-IoT wireless channel estimation models using Artificial Neural Networks (ANN): a Feature-based ANN model and a Sequence-based ANN model. Both models have been constructed to enhance LP-IoT communication by lowering the estimation error in the LP-IoT wireless channel. The Feature-based model aims to capture complex pattern","authors_text":"M. Arif Khan, Sabih ur Rehman, Samrah Arif","cross_cats":["cs.LG","cs.NI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2024-04-10T02:48:13Z","title":"RSSI Estimation for Constrained Indoor Wireless Networks using ANN"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.15337","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:ccae550539e105bd3145c17af3caac733f4f108bcd222b0438e84a5ae4422a33","target":"record","created_at":"2026-07-05T08:11:26Z","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":"683b422e25ad7c513a87a3030362df78637f1dc91ea2357015c6d9e2a32b172d","cross_cats_sorted":["cs.LG","cs.NI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2024-04-10T02:48:13Z","title_canon_sha256":"ded5aa4dd476c799cb51b2edbeffc08ef4508b70cfcdd5576a3ef93d40b8519a"},"schema_version":"1.0","source":{"id":"2404.15337","kind":"arxiv","version":1}},"canonical_sha256":"fece4e65b7e527f4c61d1cbeb119ac5544bb083419a5c240d103d0dc73699c81","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fece4e65b7e527f4c61d1cbeb119ac5544bb083419a5c240d103d0dc73699c81","first_computed_at":"2026-07-05T08:11:26.103074Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:11:26.103074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Gr91ImDz0HchzUNpkTRnx7KMga9QoV+cIjfwTvOaTw0mZ4cebj3egrlYmpxhNfW7cozxkQx9zhKu5lC/Peu3CA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:11:26.103562Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.15337","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ccae550539e105bd3145c17af3caac733f4f108bcd222b0438e84a5ae4422a33","sha256:2d4576df51223340ba06e1688bdb253e35fb997be15491cb197e5c93c32b9bf5"],"state_sha256":"75580fe4a445e0a1beb434407ce44453f2113e3207a44012a172e85013b4adc5"}