{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JKBO2XFKKTL27SD22DDNTRQ6H3","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":"2d0f69c50089879a120a51b7a5c993e22fd4ad730a0298019d6f520e8ae4bc06","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-01T12:53:55Z","title_canon_sha256":"59b7fce6392128e723caf22b0d13e96b4a3156aebca1b00a12210c338e06d858"},"schema_version":"1.0","source":{"id":"2607.00887","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.00887","created_at":"2026-07-02T01:18:22Z"},{"alias_kind":"arxiv_version","alias_value":"2607.00887v1","created_at":"2026-07-02T01:18:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00887","created_at":"2026-07-02T01:18:22Z"},{"alias_kind":"pith_short_12","alias_value":"JKBO2XFKKTL2","created_at":"2026-07-02T01:18:22Z"},{"alias_kind":"pith_short_16","alias_value":"JKBO2XFKKTL27SD2","created_at":"2026-07-02T01:18:22Z"},{"alias_kind":"pith_short_8","alias_value":"JKBO2XFK","created_at":"2026-07-02T01:18:22Z"}],"graph_snapshots":[{"event_id":"sha256:fe6fffb084daf4010042f34f0ccf4804d5acda2f3df9f9d56b147074c32d9784","target":"graph","created_at":"2026-07-02T01:18:22Z","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/2607.00887/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Low-altitude Unmanned Aerial Vehicles (UAVs) often need to infer channel knowledge across a range of heights from only sparse observations collected at a few altitude layers. To address this challenge, this paper studies height-conditioned cross-height channel knowledge map (CKM) prediction for UAV-assisted communications in geometry-rich urban environments. We develop a geometry-aware conditional prediction framework that combines urban scene priors, sparse multi-altitude observations, and target-height descriptors to reconstruct dense CKMs at unobserved target heights. An uncertainty head is","authors_text":"Amir Hussain, Guan Gui, Lu Chen, Phee Lep Yeoh, Yue Xiu, Zhihan Zeng, Zhongpei Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-01T12:53:55Z","title":"Geometry-Aware Cross-Height Channel Knowledge Map Prediction for UAV-Assisted Communications With Uncertainty-Guided 3D Sensing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00887","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":"sha256:0b372c638983cfca6833b9cc1f1102892bf144b5df49f598ffb9f7ce4677ed86","target":"record","created_at":"2026-07-02T01:18:22Z","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":"2d0f69c50089879a120a51b7a5c993e22fd4ad730a0298019d6f520e8ae4bc06","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-01T12:53:55Z","title_canon_sha256":"59b7fce6392128e723caf22b0d13e96b4a3156aebca1b00a12210c338e06d858"},"schema_version":"1.0","source":{"id":"2607.00887","kind":"arxiv","version":1}},"canonical_sha256":"4a82ed5caa54d7afc87ad0c6d9c61e3ee3f7fcc11506fad92101609ac858eb21","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a82ed5caa54d7afc87ad0c6d9c61e3ee3f7fcc11506fad92101609ac858eb21","first_computed_at":"2026-07-02T01:18:22.291141Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-02T01:18:22.291141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ngAyZKsYTPP0YpP4gwmwn5xEol9idb6iDdtCgip8sdym7GlIiUUmrwx0oJr+2Sh4SSWtmpl7BVKcp/kqfUVWDw==","signature_status":"signed_v1","signed_at":"2026-07-02T01:18:22.291550Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.00887","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0b372c638983cfca6833b9cc1f1102892bf144b5df49f598ffb9f7ce4677ed86","sha256:fe6fffb084daf4010042f34f0ccf4804d5acda2f3df9f9d56b147074c32d9784"],"state_sha256":"f3a675d831a81631076360da983a4ab35fce9a1d9de165cca8f75e8ffb21f3f8"}