{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:EVS6GUTZKFPVUSXBDON2UABJF2","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":"c004324a48a583d4a71d8cd702e27be231d412883b5876130b3029382b0ae850","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-06-29T06:55:13Z","title_canon_sha256":"f10f8b916d439d9d0dad1a2d2185c7295012c810824d18d28bbb956422da9dfe"},"schema_version":"1.0","source":{"id":"2606.29862","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.29862","created_at":"2026-06-30T02:17:38Z"},{"alias_kind":"arxiv_version","alias_value":"2606.29862v1","created_at":"2026-06-30T02:17:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.29862","created_at":"2026-06-30T02:17:38Z"},{"alias_kind":"pith_short_12","alias_value":"EVS6GUTZKFPV","created_at":"2026-06-30T02:17:38Z"},{"alias_kind":"pith_short_16","alias_value":"EVS6GUTZKFPVUSXB","created_at":"2026-06-30T02:17:38Z"},{"alias_kind":"pith_short_8","alias_value":"EVS6GUTZ","created_at":"2026-06-30T02:17:38Z"}],"graph_snapshots":[{"event_id":"sha256:2a2c197f09b839738923e57e55d4632ae2ee4b6a48af186b88a5771184f6e949","target":"graph","created_at":"2026-06-30T02:17:38Z","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/2606.29862/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Channel knowledge maps (CKMs) are regarded as key enablers of environment-aware communications in future wireless networks, as they provide location-specific channel information by establishing an explicit connection between wireless devices and the physical propagation environment. As a representative CKM, the channel gain map (CGM) characterizes the spatial distributions of large-scale fading to support wireless environment awareness and network optimization. Existing CGM construction methods generally lack a well-defined sampling-point acquisition strategy, which may result in a limited num","authors_text":"Linzhou Zeng, Xuewen Liao, Yong Zeng, Yunzhe Zhu, Zhenzhen Gao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-06-29T06:55:13Z","title":"Active Learning for Channel Knowledge Map Construction via Bayesian Inference Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.29862","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:d192826fba459bc86fb9459f49abddcb3b42234c15e59defdc916edcc426269e","target":"record","created_at":"2026-06-30T02:17:38Z","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":"c004324a48a583d4a71d8cd702e27be231d412883b5876130b3029382b0ae850","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-06-29T06:55:13Z","title_canon_sha256":"f10f8b916d439d9d0dad1a2d2185c7295012c810824d18d28bbb956422da9dfe"},"schema_version":"1.0","source":{"id":"2606.29862","kind":"arxiv","version":1}},"canonical_sha256":"2565e35279515f5a4ae11b9baa00292eb7ef9ccdedc60fd98f04d95fe553d303","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2565e35279515f5a4ae11b9baa00292eb7ef9ccdedc60fd98f04d95fe553d303","first_computed_at":"2026-06-30T02:17:38.775835Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T02:17:38.775835Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sYElwG5NFcMAsht54e+P+6pZmxDZyRXmS73VYRM/z9Egd4tpw5iBrnkg8Mh9brCuBQAwtL53blXINBssXJHeBw==","signature_status":"signed_v1","signed_at":"2026-06-30T02:17:38.776412Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.29862","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d192826fba459bc86fb9459f49abddcb3b42234c15e59defdc916edcc426269e","sha256:2a2c197f09b839738923e57e55d4632ae2ee4b6a48af186b88a5771184f6e949"],"state_sha256":"2fcd420640f0bfb884383e9bc7a17abbafb645a25db20336cd60fbaaa40b3de9"}