{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:CJ5X4O3ZLOCDA5SBSOGCMA6UNB","short_pith_number":"pith:CJ5X4O3Z","canonical_record":{"source":{"id":"2111.13879","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2021-11-27T12:28:09Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3c236ae2fe68b0f2a3726ea819d0eea98f91e5b67713970156928445985ddcea","abstract_canon_sha256":"915a8d8c18950db4db27399606f07337dcd0b1cb8c7334429608f90fa092f66e"},"schema_version":"1.0"},"canonical_sha256":"127b7e3b795b84307641938c2603d4686b81e68dc40a6e0342b174596a4a4101","source":{"kind":"arxiv","id":"2111.13879","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.13879","created_at":"2026-07-05T04:27:09Z"},{"alias_kind":"arxiv_version","alias_value":"2111.13879v2","created_at":"2026-07-05T04:27:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.13879","created_at":"2026-07-05T04:27:09Z"},{"alias_kind":"pith_short_12","alias_value":"CJ5X4O3ZLOCD","created_at":"2026-07-05T04:27:09Z"},{"alias_kind":"pith_short_16","alias_value":"CJ5X4O3ZLOCDA5SB","created_at":"2026-07-05T04:27:09Z"},{"alias_kind":"pith_short_8","alias_value":"CJ5X4O3Z","created_at":"2026-07-05T04:27:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:CJ5X4O3ZLOCDA5SBSOGCMA6UNB","target":"record","payload":{"canonical_record":{"source":{"id":"2111.13879","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2021-11-27T12:28:09Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3c236ae2fe68b0f2a3726ea819d0eea98f91e5b67713970156928445985ddcea","abstract_canon_sha256":"915a8d8c18950db4db27399606f07337dcd0b1cb8c7334429608f90fa092f66e"},"schema_version":"1.0"},"canonical_sha256":"127b7e3b795b84307641938c2603d4686b81e68dc40a6e0342b174596a4a4101","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:27:09.212609Z","signature_b64":"jvBlYfZiP5q60rOAJFDKPGu6UYfQ8o7PsDgYig9IOHCXvzwPBvY42YBTuYuwnMhuVyKl0c7IU5A7XvOo4ZHRCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"127b7e3b795b84307641938c2603d4686b81e68dc40a6e0342b174596a4a4101","last_reissued_at":"2026-07-05T04:27:09.212148Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:27:09.212148Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2111.13879","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:27:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4SNE+TnaK39TZMNSkfMXpF0Bg0W9QF/k0+PNtUW0cBj7ihJ/5EUhBHNvqA5wAf95e4dQSuMpSMBtvj6I0LnyAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T04:34:38.053330Z"},"content_sha256":"7b123b56c6561439bd29c908c73bad88d733667478b20bfb857c5ea19a6041c1","schema_version":"1.0","event_id":"sha256:7b123b56c6561439bd29c908c73bad88d733667478b20bfb857c5ea19a6041c1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:CJ5X4O3ZLOCDA5SBSOGCMA6UNB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ML-based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.NI","authors_text":"Adel Gastli, Muhammad Asif Khan, Nasser Ahmed Al-Emadi, Ridha Hamila, Serkan Kiranyaz","submitted_at":"2021-11-27T12:28:09Z","abstract_excerpt":"Device mobility in dense Wi-Fi networks offers several challenges. Two well-known problems related to device mobility are handover prediction and access point selection. Due to the complex nature of the radio environment, analytical models may not characterize the wireless channel, which makes the solution of these problems very difficult. Recently, cognitive network architectures using sophisticated learning techniques are increasingly being applied to such problems. In this paper, we propose data-driven machine learning (ML) schemes to efficiently solve these problems in wireless LAN (WLAN) "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.13879","kind":"arxiv","version":2},"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/2111.13879/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":"2026-07-05T04:27:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"msy4D4dl7yqWuz49AM0WtVhXo0uUZxwNEprSEcUj5jJB4su+qx6aZkoxgGn3JEB4aXMZIRbiDtFIbM3nE4RhAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T04:34:38.053761Z"},"content_sha256":"916687b4fecc5334db0fdad5b90d889d54ab80f954c6ad2b01fab958848594ff","schema_version":"1.0","event_id":"sha256:916687b4fecc5334db0fdad5b90d889d54ab80f954c6ad2b01fab958848594ff"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CJ5X4O3ZLOCDA5SBSOGCMA6UNB/bundle.json","state_url":"https://pith.science/pith/CJ5X4O3ZLOCDA5SBSOGCMA6UNB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CJ5X4O3ZLOCDA5SBSOGCMA6UNB/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":"2026-07-07T04:34:38Z","links":{"resolver":"https://pith.science/pith/CJ5X4O3ZLOCDA5SBSOGCMA6UNB","bundle":"https://pith.science/pith/CJ5X4O3ZLOCDA5SBSOGCMA6UNB/bundle.json","state":"https://pith.science/pith/CJ5X4O3ZLOCDA5SBSOGCMA6UNB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CJ5X4O3ZLOCDA5SBSOGCMA6UNB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:CJ5X4O3ZLOCDA5SBSOGCMA6UNB","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":"915a8d8c18950db4db27399606f07337dcd0b1cb8c7334429608f90fa092f66e","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2021-11-27T12:28:09Z","title_canon_sha256":"3c236ae2fe68b0f2a3726ea819d0eea98f91e5b67713970156928445985ddcea"},"schema_version":"1.0","source":{"id":"2111.13879","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.13879","created_at":"2026-07-05T04:27:09Z"},{"alias_kind":"arxiv_version","alias_value":"2111.13879v2","created_at":"2026-07-05T04:27:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.13879","created_at":"2026-07-05T04:27:09Z"},{"alias_kind":"pith_short_12","alias_value":"CJ5X4O3ZLOCD","created_at":"2026-07-05T04:27:09Z"},{"alias_kind":"pith_short_16","alias_value":"CJ5X4O3ZLOCDA5SB","created_at":"2026-07-05T04:27:09Z"},{"alias_kind":"pith_short_8","alias_value":"CJ5X4O3Z","created_at":"2026-07-05T04:27:09Z"}],"graph_snapshots":[{"event_id":"sha256:916687b4fecc5334db0fdad5b90d889d54ab80f954c6ad2b01fab958848594ff","target":"graph","created_at":"2026-07-05T04:27:09Z","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/2111.13879/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Device mobility in dense Wi-Fi networks offers several challenges. Two well-known problems related to device mobility are handover prediction and access point selection. Due to the complex nature of the radio environment, analytical models may not characterize the wireless channel, which makes the solution of these problems very difficult. Recently, cognitive network architectures using sophisticated learning techniques are increasingly being applied to such problems. In this paper, we propose data-driven machine learning (ML) schemes to efficiently solve these problems in wireless LAN (WLAN) ","authors_text":"Adel Gastli, Muhammad Asif Khan, Nasser Ahmed Al-Emadi, Ridha Hamila, Serkan Kiranyaz","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2021-11-27T12:28:09Z","title":"ML-based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.13879","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":"sha256:7b123b56c6561439bd29c908c73bad88d733667478b20bfb857c5ea19a6041c1","target":"record","created_at":"2026-07-05T04:27:09Z","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":"915a8d8c18950db4db27399606f07337dcd0b1cb8c7334429608f90fa092f66e","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2021-11-27T12:28:09Z","title_canon_sha256":"3c236ae2fe68b0f2a3726ea819d0eea98f91e5b67713970156928445985ddcea"},"schema_version":"1.0","source":{"id":"2111.13879","kind":"arxiv","version":2}},"canonical_sha256":"127b7e3b795b84307641938c2603d4686b81e68dc40a6e0342b174596a4a4101","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"127b7e3b795b84307641938c2603d4686b81e68dc40a6e0342b174596a4a4101","first_computed_at":"2026-07-05T04:27:09.212148Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:27:09.212148Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jvBlYfZiP5q60rOAJFDKPGu6UYfQ8o7PsDgYig9IOHCXvzwPBvY42YBTuYuwnMhuVyKl0c7IU5A7XvOo4ZHRCg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:27:09.212609Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.13879","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7b123b56c6561439bd29c908c73bad88d733667478b20bfb857c5ea19a6041c1","sha256:916687b4fecc5334db0fdad5b90d889d54ab80f954c6ad2b01fab958848594ff"],"state_sha256":"18928111bd85d347258092a3e035340d7acfbbfc328ae0befe81d2a860ab8c86"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rMocRLoa0gDeX6gF/fWQdu4aGqPfu6wUHedF5CDFxx9ES9AUJkk0o8gM6kjfsHC56Y23Msu8GZ5ZYGkQLu4YBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T04:34:38.055720Z","bundle_sha256":"a16c64f0c67dc9ef8b2c91c749561c30964ee8ba08fe10f32457f7cb389599f4"}}