{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:ZPVYDIFSS72RZSK5AJIKWNAPIN","short_pith_number":"pith:ZPVYDIFS","schema_version":"1.0","canonical_sha256":"cbeb81a0b297f51cc95d0250ab340f434f66f3fccd19f97aecd9324f1e7e07e9","source":{"kind":"arxiv","id":"2405.04357","version":1},"attestation_state":"computed","paper":{"title":"Global Scale Self-Supervised Channel Charting with Sensor Fusion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","math.IT"],"primary_cat":"cs.IT","authors_text":"David Gesbert, Florian Kaltenberger, Mohsen Ahadi, Omid Esrafilian","submitted_at":"2024-05-07T14:33:45Z","abstract_excerpt":"The sensing and positioning capabilities foreseen in 6G have great potential for technology advancements in various domains, such as future smart cities and industrial use cases. Channel charting has emerged as a promising technology in recent years for radio frequency-based sensing and localization. However, the accuracy of these techniques is yet far behind the numbers envisioned in 6G. To reduce this gap, in this paper, we propose a novel channel charting technique capitalizing on the time of arrival measurements from surrounding Transmission Reception Points (TRPs) along with their locatio"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2405.04357","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-05-07T14:33:45Z","cross_cats_sorted":["cs.AI","math.IT"],"title_canon_sha256":"236157fb277e9b6842989f7b2a7943d56c1deff732751c81f1e423da0c485566","abstract_canon_sha256":"f4cb8c028ca4185fd5b08f44fc37b0a65e0455ae0c846aa6487d391bef96a8a4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:16:36.028071Z","signature_b64":"MWxUjh5SDhcklaAaxGNj1ZmHWQc2OXREeWw9h5SxMdtNTuDWFAbVWNBHucfqna7gqK7B5daWJdTla3Q2W8WKBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cbeb81a0b297f51cc95d0250ab340f434f66f3fccd19f97aecd9324f1e7e07e9","last_reissued_at":"2026-07-05T08:16:36.027598Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:16:36.027598Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Global Scale Self-Supervised Channel Charting with Sensor Fusion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","math.IT"],"primary_cat":"cs.IT","authors_text":"David Gesbert, Florian Kaltenberger, Mohsen Ahadi, Omid Esrafilian","submitted_at":"2024-05-07T14:33:45Z","abstract_excerpt":"The sensing and positioning capabilities foreseen in 6G have great potential for technology advancements in various domains, such as future smart cities and industrial use cases. Channel charting has emerged as a promising technology in recent years for radio frequency-based sensing and localization. However, the accuracy of these techniques is yet far behind the numbers envisioned in 6G. To reduce this gap, in this paper, we propose a novel channel charting technique capitalizing on the time of arrival measurements from surrounding Transmission Reception Points (TRPs) along with their locatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.04357","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2405.04357/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2405.04357","created_at":"2026-07-05T08:16:36.027657+00:00"},{"alias_kind":"arxiv_version","alias_value":"2405.04357v1","created_at":"2026-07-05T08:16:36.027657+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.04357","created_at":"2026-07-05T08:16:36.027657+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZPVYDIFSS72R","created_at":"2026-07-05T08:16:36.027657+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZPVYDIFSS72RZSK5","created_at":"2026-07-05T08:16:36.027657+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZPVYDIFS","created_at":"2026-07-05T08:16:36.027657+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ZPVYDIFSS72RZSK5AJIKWNAPIN","json":"https://pith.science/pith/ZPVYDIFSS72RZSK5AJIKWNAPIN.json","graph_json":"https://pith.science/api/pith-number/ZPVYDIFSS72RZSK5AJIKWNAPIN/graph.json","events_json":"https://pith.science/api/pith-number/ZPVYDIFSS72RZSK5AJIKWNAPIN/events.json","paper":"https://pith.science/paper/ZPVYDIFS"},"agent_actions":{"view_html":"https://pith.science/pith/ZPVYDIFSS72RZSK5AJIKWNAPIN","download_json":"https://pith.science/pith/ZPVYDIFSS72RZSK5AJIKWNAPIN.json","view_paper":"https://pith.science/paper/ZPVYDIFS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2405.04357&json=true","fetch_graph":"https://pith.science/api/pith-number/ZPVYDIFSS72RZSK5AJIKWNAPIN/graph.json","fetch_events":"https://pith.science/api/pith-number/ZPVYDIFSS72RZSK5AJIKWNAPIN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZPVYDIFSS72RZSK5AJIKWNAPIN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZPVYDIFSS72RZSK5AJIKWNAPIN/action/storage_attestation","attest_author":"https://pith.science/pith/ZPVYDIFSS72RZSK5AJIKWNAPIN/action/author_attestation","sign_citation":"https://pith.science/pith/ZPVYDIFSS72RZSK5AJIKWNAPIN/action/citation_signature","submit_replication":"https://pith.science/pith/ZPVYDIFSS72RZSK5AJIKWNAPIN/action/replication_record"}},"created_at":"2026-07-05T08:16:36.027657+00:00","updated_at":"2026-07-05T08:16:36.027657+00:00"}