{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:UG5ZV3TC2R4DG6RJXTD7Y7G5GC","short_pith_number":"pith:UG5ZV3TC","schema_version":"1.0","canonical_sha256":"a1bb9aee62d478337a29bcc7fc7cdd30b4f9048bb661c2f361ea44ebdd3370dc","source":{"kind":"arxiv","id":"2606.11490","version":1},"attestation_state":"computed","paper":{"title":"OmniLoc: A Geometry-Aware Foundation Model for Anchor-Free UE Localization Across Diverse Indoor Environments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"cs.LG","authors_text":"Andreas F. Molisch, Anushka Katiyar, Bassel Abou Ali Modad, Lei Chu, Omer Gokalp Serbetci, Yuning Zhang","submitted_at":"2026-06-09T22:22:25Z","abstract_excerpt":"Indoor localization from wireless measurements remains challenging in large-scale deployments due to substantial variation in building geometry, the set of detectable access points (APs), and the heterogeneity of received signals. Existing learning-based methods often perform well only in limited settings and degrade under environmental shifts, making robust anchor-free localization across diverse indoor environments notoriously difficult. In this paper, we present OmniLoc, an environment-interactive foundation model for anchor-free user equipment localization across diverse indoor environment"},"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":"2606.11490","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-09T22:22:25Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"04a0a1f0fb1ab2cdccc0a6195ccc8d2ae8432cfa2dfd195f263bd92c94a41422","abstract_canon_sha256":"010ca2ae1f8275a545050329222ffc9630f8e0ec578dacdc3516eed1b8375d7d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-11T01:09:51.751446Z","signature_b64":"tJ9pF8jDSS8gOyq8aTO5KkU6/5VB+uz01HAUJk3cuKXQ/xICSTvCvyKplNARBDLibx2KbYU2mfWsawnQvrcQCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a1bb9aee62d478337a29bcc7fc7cdd30b4f9048bb661c2f361ea44ebdd3370dc","last_reissued_at":"2026-06-11T01:09:51.750649Z","signature_status":"signed_v1","first_computed_at":"2026-06-11T01:09:51.750649Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"OmniLoc: A Geometry-Aware Foundation Model for Anchor-Free UE Localization Across Diverse Indoor Environments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"cs.LG","authors_text":"Andreas F. Molisch, Anushka Katiyar, Bassel Abou Ali Modad, Lei Chu, Omer Gokalp Serbetci, Yuning Zhang","submitted_at":"2026-06-09T22:22:25Z","abstract_excerpt":"Indoor localization from wireless measurements remains challenging in large-scale deployments due to substantial variation in building geometry, the set of detectable access points (APs), and the heterogeneity of received signals. Existing learning-based methods often perform well only in limited settings and degrade under environmental shifts, making robust anchor-free localization across diverse indoor environments notoriously difficult. In this paper, we present OmniLoc, an environment-interactive foundation model for anchor-free user equipment localization across diverse indoor environment"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11490","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/2606.11490/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":"2606.11490","created_at":"2026-06-11T01:09:51.750773+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.11490v1","created_at":"2026-06-11T01:09:51.750773+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11490","created_at":"2026-06-11T01:09:51.750773+00:00"},{"alias_kind":"pith_short_12","alias_value":"UG5ZV3TC2R4D","created_at":"2026-06-11T01:09:51.750773+00:00"},{"alias_kind":"pith_short_16","alias_value":"UG5ZV3TC2R4DG6RJ","created_at":"2026-06-11T01:09:51.750773+00:00"},{"alias_kind":"pith_short_8","alias_value":"UG5ZV3TC","created_at":"2026-06-11T01:09:51.750773+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/UG5ZV3TC2R4DG6RJXTD7Y7G5GC","json":"https://pith.science/pith/UG5ZV3TC2R4DG6RJXTD7Y7G5GC.json","graph_json":"https://pith.science/api/pith-number/UG5ZV3TC2R4DG6RJXTD7Y7G5GC/graph.json","events_json":"https://pith.science/api/pith-number/UG5ZV3TC2R4DG6RJXTD7Y7G5GC/events.json","paper":"https://pith.science/paper/UG5ZV3TC"},"agent_actions":{"view_html":"https://pith.science/pith/UG5ZV3TC2R4DG6RJXTD7Y7G5GC","download_json":"https://pith.science/pith/UG5ZV3TC2R4DG6RJXTD7Y7G5GC.json","view_paper":"https://pith.science/paper/UG5ZV3TC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.11490&json=true","fetch_graph":"https://pith.science/api/pith-number/UG5ZV3TC2R4DG6RJXTD7Y7G5GC/graph.json","fetch_events":"https://pith.science/api/pith-number/UG5ZV3TC2R4DG6RJXTD7Y7G5GC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UG5ZV3TC2R4DG6RJXTD7Y7G5GC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UG5ZV3TC2R4DG6RJXTD7Y7G5GC/action/storage_attestation","attest_author":"https://pith.science/pith/UG5ZV3TC2R4DG6RJXTD7Y7G5GC/action/author_attestation","sign_citation":"https://pith.science/pith/UG5ZV3TC2R4DG6RJXTD7Y7G5GC/action/citation_signature","submit_replication":"https://pith.science/pith/UG5ZV3TC2R4DG6RJXTD7Y7G5GC/action/replication_record"}},"created_at":"2026-06-11T01:09:51.750773+00:00","updated_at":"2026-06-11T01:09:51.750773+00:00"}